/Dr. Ni-Bin Chang
Dr. Ni-Bin Chang 2018-09-21T13:38:03+00:00

Room: Engr II 442-F
Phone: (407) 823-1375
E-mail: nchang@ucf.edu

Full CV
Biosketch

Dr. Ni-Bin Chang, P.E., FASCE, FIEEE, FSPIE,
FRSC, FAAAS, FEASc,  DWRE, LEED

Professor, Department of Civil, Environmental, and Construction Engineering

Fellow, the International Society of Optics and Photonics (FSPIE)
Fellow, the Royal Society of Chemistry (the United Kingdom) (FRSC)
Fellow, the American Society of Civil Engineers (FASCE)
Fellow, the Institute of Electrical and Electronics Engineers (FIEEE)
Fellow, the American Association for the Advancement of Science (FAAAS)
Fellow, the European Academy of Sciences (FEASc)
Director of Stormwater Management Academy

EDUCATION

Ph.D. in Environmental Systems Engineering, 
Cornell University, 1991

M.S. in Environmental Systems Engineering, 
Cornell University , 1989.

B.S. in Civil Engineering, 
National Chiao-Tung University, Taiwan, Republic of China , 1983

TEACHING

Undergraduate

  • Introduction to Environmental Engineering
    (Fall 2005, Spring/Fall 2006, Spring 2007)
  • Hydraulics (Fall 2005, Spring/Fall 2006)
  • Engineering Fluid Mechanics (Fall 2006, Summer 2006)
  • Sustainable Resources Management (Fall 2017)

Graduate

  • Advanced Hydrology (Spring 2007)
  • Industrial Ecology (Summer 2007 and 2015)
  • Environmental and Water Resources Systems Analysis
    (Fall 2007 and 2014)
  • Groundwater Hydrology (Fall 2010)
  • Environmental Informatics and Remote Sensing (Spring 2011)
  • Groundwater Modeling (Spring 2012)
  • Ecological Engineering – Receiving Water Impact (2015)

RESEARCH AREAS OF SPECIALTY

Environmental Sustainability

  • Water Resources and Environmental Engineering Systems
  • Ecological engineering
  • Industrial Ecology
  • Earth Systems Engineering
  • Environmental Informatics and Remote Sensing
    * Environmental Informatics and Decision Making
    * Environmental Cyberinfrastructure
    * Multispectral and Hyperspectral Remote Sensing
  • Environmental Health Engineering
    * Health Informatics and Decision Making
    * Multimedia Pollutant Fate and Transport Modeling
    * Exposure Assessment and Risk Analysis

Resilient Infrastructure Systems

  • Decision Making for Sustainable Infrastructure Management
  • Reliability Assessment Incorporating Sensor and Information Technologies
  • Minimization of Operational Disruption of Infrastructure Systems due to Human Activities and Natural Disasters
  • Post-disaster Recovery Planning
  • Hazard Analysis and Mitigation

Ni-Bin Chang received his B.S. degree in Civil Engineering from National Chiao-Tung University, Taiwan in 1983, and his M.S. and Ph.D. degree in Environmental Systems Engineering from Cornell University, USA in 1989 and 1991, respectively.  He joined the University of Central Florida (UCF) in 2005. At UCF he has been conducting highly interdisciplinary research in Sustainable Systems Engineering. His research interests are related to environmental sensing, monitoring, and modeling with the aid of sensor networks, cyberinfrastructure, and informatics for environmental sustainability and ecosystem conservation. He has over 250 journal publications, 9 books, 11 special issues of academic journals, and 9 United States patents. He served as a plenary speaker for several conferences. He as the associate editor of AGU journal of Water Resources Research, ASCE Journal of Hydrologic Engineering, and others. He is the Editor-in-Chief of the Journal of Applied Remote Sensing, and an associate editor of the IEEE Systems Journal. He served the general chair of 2014 IEEE International Conference on Sensing, Networking, and Control and 2014~2018 SPIE Conference of Remote Sensing and Modeling of Ecosystems for Sustainability. He is the vice chair of the Executive Committee of the IEEE Environmental Engineering Committee. He was the recipient of many awards/honor, including the Distinguished Visiting Fellowship from the Royal Academy of Engineering, United Kingdom, Fulbright Scholar Award in the USA/Germany, Bridging the Gaps Award from Engineering and Physical Sciences Research Council (EPSRC) in United Kingdom, Outstanding Achievement Award (ASCE) in the USA, and the Blaise Pascal Award from the European Academy of Science. He is Fellow of the American Association for the Advancement of Science (FAAAS), the American Society of Civil Engineers (FASCE), the Institute of Electrical and Electronics Engineers (FIEEE), the International Society of Optics and Photonics (FSPIE), the Royal Society of Chemistry (FRSC) in the United Kingdom, and the European Academy of Sciences (FEASc). From Aug. 2012 to Aug. 2014, he worked as a program director of the Cyber-enabled Sustainability Science and Engineering (CyberSEES) program and the Hydrologic Science Program at the National Science Foundation in the USA.

Experience

ACADEMIC APPOINTMENTS

  • Aug. 2012 – Aug. 2014
    Program Director, Hydrological Sciences Program
    and Cyber-innovated Sustainability Science and Engineering Program
    National Science Foundation,
    Washington D. C., USA
  • Sept. 2011 – present
    Director of Stormwater
    Management Academy

    University of Central Florida
    Orlando, FL, 32816, USA
  • Jan. 2009~May 2009
    Visiting Scientist
    Center of Remote Sensing and Modeling for Agricultural Sustainability, USDA, Fort Colin, CO, USA
  • Sept. 2008~Jan. 2009
    Visiting Scientist
    National Risk Management Research Laboratory, USEPA
    Cincinnati, Ohio, USA
  • Aug. 2005~the present
    Professor
    Department of Civil and Environmental Engineering (primary appointment from 2005 to the present)
    Department of Industrial Engineering and Management System (secondary joint appointment from Aug. 2009 to Aug. 2014)
    University of Central Florida
    Orlando, FL, 32816, USA
  • Jan. 2002 – Aug. 2005
    Professor
    Department of Environmental and Civil Engineering
    Texas A&M University-Kingsville
    Kingsville, Texas, 78363, USA
    Graduate Coordinator (from March 2002 to Jan. 2003)
    Associate Director (from Jan. 2003 to Aug. 2003)
    Center for Research Excellence of Science and Technology (CREST) at TAMUK (National Science Foundation-funded Center)
  • Aug. 1997 – Jan. 2002
    Professor
    Dept. of Environmental Engineering
    National Cheng-Kung University
    Tainan, Taiwan, ROC
  • June 1999 – Aug., 2000
    Associate Director
    Research Institute of Resources Recycling and Management
    National Cheng-Kung University
    Tainan, Taiwan, ROC
  • June, 1999 – Sep., 1999
    Visiting Professor
    Department of Systems Engineering
    University of Pennsylvania
    Philadelphia, USA
  • Aug. 1998 – Sep., 1998
    Visiting Professor
    Institute of Engineering Thermophysics
    Chinese Academy of Science
    Beijing, China
  • Jan. 2000 – June, 2000
    Adjunct Professor
    Graduate Institute of Environmental Science
    Tong-Hai University
    Taichun, Taiwan
  • Jan. 1998 – June, 1998
    Adjunct Associate Professor
    Graduate Institute of Environmental Engineering
    National Taiwan University
    Taipei, Taiwan
  • Aug. 1992 – Aug. 1997
    Associate Professor
    Dept. of Environmental Engineering
    National Cheng-Kung University
    Tainan, Taiwan, ROC

INDUSTRIAL AND OTHER
NON-ACADEMIC EXPERIENCE

  • Feb. 1992 – July 1992
    Deputy Manager
    Division of Environmental Engineering
    Fichtner Pacific Engineers, Inc.
    (German-based Consultant Firm)
    Taipei, Taiwan, ROC
    Main Projects: Planning and Design for four Municipal Solid Waste Incinerators, System Planning of a Sanitary Landfill
  • Aug. 1991 – Feb. 1992
    Deputy Manager
    Ecology & Environment, Inc.
    Taiwan Branch Office
    (US-based Consultant Firm)
    Taipei, Taiwan, ROC
    Main Projects: Soil and Groundwater Remediation, Hazardous Waste Management, Chemical Emergency Preparedness and Response
  • Jan. 1986 – Aug. 1987
    Environmental Engineer
    Dept. of Environmental Engineering
    Housing and Urban Development Bureau
    Taiwan Provincial Government
    Taipei, Taiwan, ROC
    Main Projects: Planning and Design of Several Sewer Collection Systems, Design of a Large-scale Wastewater Treatment Plant (ranked the fifth in terms of treatment capacity in the world)
  • Aug. 1985 – Jan. 1986
    Environmental Engineer
    Bureau of Environmental Protection
    Kaohsiung City Government
    Kaohsiung, Taiwan, ROC
    Main Projects: Water Quality Management in River and Coastal Region
  • Oct. 1983 – Aug. 1985
    Junior Lieutenant, the Navy of Taiwan
    Main Projects: Drainage System Design and Maintenance, Construction Management of a National Training Center for the Marine Corps in South Taiwan

WATER RESOURCES AND ENVIRONMENTAL SYSTEMS ANALYSIS, SUSTAINABILITY SCIENCES, AND GLOBAL CHANGES

Book

  1. Chang, N. B. (2010): Systems Analysis for Sustainable Engineering. Publisher: McGraw Hill, New York, USA, 688 pp.

Book Chapters

  1. Fang , Chang, N. B., Lee M. K. and Wolf, L. W. (2010): Chapter 3 Environmental Assessment of Using Stone Quarries as Part of an Integrative Water Supply System in Fast Growing Urban Regions. In: The Effects of Urbanization on Groundwater: An Engineering Case-based Approach for Sustainable Development, Ed. Chang, N. B. (ASCE), 26-50.
  2. Chang, N. B. (2010): Chapter 1 The Frontiers of Sustainable Development in Urban Regions. In: The Effects of Urbanization on Groundwater: An Engineering Case-based Approach for Sustainable Development, Chang, N. B. (ASCE), 1-5.

Journal Papers: Coupled Natural System and the Built Environment

  • Theories and Concept
  1. Chang, N. B., Wen, C. G. and Wu, S. L. (1995): Optimal management of environmental and land resources in a reservoir watershed by multi-objective programming. Journal of Environmental Management, 44(2), 145-161.
  2. Chang, N. B. and Wang, S. F. (1995): Optimal planning for the coastal wastewater treatment and disposal system. Coastal Management, 23, 153-166.
  3. Chang, N. B. (2005): Sustainable water resources management under uncertainty. Stochastic Environmental Research and Risk Assessment, 19(2), 1-2.
  4. Chang, N. B. (2010): Hydrological connections between low impact development, watershed best management practices and sustainable development. Journal of Hydrologic Engineering, ASCE, 15(5), 1-2.
  5. Ning, S. K., Chang, N. B., Yang, L., Chen, H. W. and Hsu, H. Y. (2001): Assessing pollution prevention program by QUAL2E simulation analysis for water quality management in the Kao-Ping river basin, Taiwan,” Journal of Environmental Management, 61(1), 61-76.
  6. Ning, S. K. and Chang, N. B. (2007): Watershed-based point sources permitting strategy and dynamic permit trading analysis. Journal of Environmental Management, 84(4), 427-446.
  7. Ernest, A., Bokhim, B., Chang N. B. and Huang, I. J. (2007): Fluvial geomorphologic and hydrodynamic assessment in the tidal portion of the Lower Rio Grande River, US-Mexico Borderland. Journal of Environmental Informatics, 10(1), 10-21.
  8. Ji, J. H. and Chang, N. B. (2005): Risk assessment for optimal freshwater inflow in response to sustainability indicators in a semi-arid coastal bay. Stochastic Environmental Research and Risk Assessment, 19(2), 111-124.
  9. Chang, N. B., Parvathinathan, G. and Dyson, B. (2006): Multi-objective risk assessment of freshwater inflow on ecosystem in San Antonio Bay, Texas. Water International, 31(2), 169-182.
  10. Chang, N. B., Chen, H. W., Ning, S. K., Shao, K. T. and Hung, T. C. (2010): Sizing an off-stream reservoir with respect to water availability, water quality, and biological integrity. Environmental Modeling and Assessment, 15(5), 329-344.
  11. Sun, S., Lotz, T., and Chang, N. B. (2017): Assessing the long-term effects of land use changes on runoff patterns and food production in a large lake watershed with policy implications,” Journal of Environmental Management, 204(1), 92-101.
  • Systems Analysis with Uncertainty
  1. Chang, N. B. and Wang, S. F. (1995): A grey nonlinear programming approach for planning coastal wastewater treatment and ocean disposal system. Water Science and Technology, 32(2), 19-29.
  2. Chang, N. B., Wen, C. G., Chen, Y. L. and Yong, Y. C. (1996): Optimal planning of the reservoir watershed by grey fuzzy multi-objective programming (I): theory. Water Research, 30(10), 2329-2334.
  3. Chang, N. B., Wen, C. G., Chen, Y. L. and Yong, Y. C. (1996): Optimal planning of the reservoir watershed by grey fuzzy multi-objective programming (II): application. Water Research, 30(10), 2335-2340.
  4. Chang, N. B., Wen, C. G. and Chen, Y. L. (1997): A fuzzy multi-objective programming approach for optimal management of the reservoir watershed. European Journal of Operational Research, 99(2), 304-323.
  5. Chang, N. B. and Chen, H. W. (1997): Water pollution control in a river basin by interactive fuzzy interval multi-objective programming. Journal of Environmental Engineering, ASCE, 123(12), 1208-1216.
  6. Chen, H. W. and Chang, N. B. (1998): Water pollution control in the river basin by genetic algorithm-based fuzzy multi-objective programming. Water Science and Technology, 37(8), 55-63.
  7. Chang, N. B., Yeh, S. C. and Wu, G. C. (1999): Stability analysis of grey compromise programming and its applications. International Journal of Systems Science, 30(6), 571-589.
  8. Chen, H. W. and Chang, N. B. (2006): Decision support for allocation of watershed pollution load using grey fuzzy multiobjective programming. Journal of American Water Resources Association, 42(3), 725-745.
  9. Chen, H. W. and Chang, N. B. (2010): Using fuzzy operators to address the complexity in decision making of water resources redistribution in two neighboring river basins. Advances in Water Resources, 33, 652–666.

 

Journal Papers: Information Technologies

  1. Chang, N. B, Chen, H. W., Ning, S. K. and Cheng, K. Y. (2001): Prediction analysis of non-point pollutant loadings for the reservoir watershed via the use of GIS/GPS/RS information technology. Water International, 26(2), 239-252.
  2. Ning, S. K., Cheng, K. Y. and Chang, N. B. (2002): Evaluation of non-point sources pollution impacts by integrated 3S information technologies and GWLF model in the Kao-ping river basin, Taiwan. Water Science and Technology, 46(6), 217–224.
  3. Chang, Y. C. and Chang, N. B. (2002): The design of a web-based decision support system for the sustainable management of an urban river system. Water Science and Technology, 46(6), 131-139.
  4. Chen, J. C., Chang, N. B., Chang, Y. C. and Lee, M. T. (2003): Mitigating the impacts of combined sewer overflow in an urban river system via web-based share-vision modeling analysis. Journal of Civil Engineering and Environmental Systems, 20(4), 213-230.

Journal Papers: Water Sustainability, Climate, and Ecosystem Services Assessment

  • Ecosystem Valuation and Environmental Economics
  1. Chen, H. W., Chang, N. B. and Shaw, D. G. (2005): Valuation of in-stream water quality improvement via fuzzy contingent valuation method. Stochastic Environmental Research and Risk Assessment, 19(2), 158-171.
  • Urban Sewer Systems and Sustainable Development
  1. Chen, J. C., Chang, N. B., Fen, C. S. and Chen, C. Y. (2004): Assessing the stormwater impact to an urban river ecological system using an estuarine water quality simulation model. Journal of Civil Engineering and Environmental Systems, 21(1), 33-50.
  2. Chen, J. C., Chang, N. B. and Chen, C. Y. (2004): Minimizing the ecological risk of combined-sewer overflow in an urban river system by a system-based approach. Journal of Environmental Engineering, ASCE, 130(10), 1-16.
  3. 3. Chang, N. B. and Hernandez, E. A. (2008): Optimal expansion strategies for a sanitary sewer system under uncertainty. Environmental Modeling and Assessment, 13(1), 93-113.
  4. Yeh, S. C., Chang, N. B., Wei, H. P., Chang, C. H., Chai, H. B. and Huang, J. W. (2011): Optimal expansion of coastal wastewater treatment and disposal system under uncertainty (I): simulation analysis. Civil Engineering and Environmental Systems, 28(1), 19-38.
  5. Chang, N. B., Yeh, S. C. and Chang, C. H. (2011): Optimal expansion of coastal wastewater treatment and disposal system under uncertainty (II): optimization analysis. Civil Engineering and Environmental Systems, 28(1), 39 -59.
  • Water Quality Classification
  1. Chang, B., Chen, H. W. and Ning, S. K. (2001): Identification of river water quality using the fuzzy synthetic evaluation approach. Journal of Environmental Management, 63(3), 293-305.

Journal Papers: Global Change, Precipitation, Stream Flows, and Drainage Infrastructures

  1. Makkeasorn, A., Chang, N. B. and Zhou, X. (2008): Short-term stream flow forecasting with global climate change implications – A comparative study between genetic programming and neural network models. Journal of Hydrology, 352, 336-354.
  2. 2. Wang, C., Chang, N. B. and Yeh, G. (2009): Copula-based Flood Frequency (COFF) analysis at the confluences of river systems. Hydrological Processes, 23, 1471-1486.
  3. Kao, S. C. and Chang, N. B. (2012): Copula-based flood frequency analysis at ungauged basin confluences: a case study for Nashville, TN. Journal of Hydrologic Engineering, ASCE, 17(7), 790-800.
  4. Sun, Z., Chang, N. B., Huang, Q. and Opp, C. (2012): Precipitation patterns and associated summer extreme flow analyses in the Yangtze River, China using TRMM/PR data. Hydrologic Sciences Journal, 57(7), 1-10.
  5. Mullon, L., Chang, N. B., Yang, J. and Weiss, J. (2013): Integrated remote sensing and wavelet analyses for short-term teleconnection pattern identification between sea surface temperature and greenness in northeast America. Journal of Hydrology, 499, 247-264.
  6. Chang, N. B., Valdez, M., Chen, J. F., Imen, S., and Mullon, L. (2015): Global nonlinear and nonstationary climate change effects on regional precipitation and forest phenology in Panama, Central America, Hydrological Processes, 29(3), 339-355.
  7. Bai, K. X., Chang, N. B., and Gao, W. (2016): Quantification of relative contribution of Antarctic ozone depletion to increased austral extratropical precipitation during 1979-2013 period, Journal of Geophysical Research – Atmospheres, 121(4), 1459–1474.
  8. Joyce, J., Chang, N. B., Harji, R., Ruppert, T., and Imen, S., (2017): Developing a multi-scale modeling system for resilience assessment of green-grey drainage infrastructures under climate change and sea level rise impact, Environmental Modelling and Software, 90, 1-26.
  9. Chang, N. B., Yang, J., Imen, S., and Mullon, L. (2017): Multi-scale quantitative precipitation forecasting using nonlinear and nonstationary teleconnection signals and artificial neural network models, Journal of Hydrology, 548, 305-321.
  10. Chang, N. B., Imen, S., Bai, K., and J. Yang (2017): The impact of global unknown teleconnection patterns on terrestrial precipitation across North and Central America, Journal of Atmospheric Research, 193, 107–124.
  11. Bai, K., Chang, N. B., Shi, R., Yu, H., and Gao, W. (2017): An inter-comparison of multi-decadal observational and reanalysis data sets for global total ozone trends and variability analysis, Journal of Geophysical Research – Atmospheres, 122, doi:10.1002/2016JD025835
  12. Lu, Q., Joyce, J., Imen, S., Chang, N. B. (2017): Linking socioeconomic development, sea level rise, and climate change impacts on urban growth in New York City with a fuzzy cellular automata-based Markov chain model. Environment and Planning B: Urban Analytics and City Science, DOI: 10.1177/2399808317720797.
  13. Justin, J., Chang, N. B., Harji, R., Ruppert, T., and Singhofen, P. (2017): Cascade impact of hurricane movement, storm tidal surge, sea level rise, and precipitation variability on flood assessment in a coastal watershed, Climate Dynamics, doi: 10.1007/s00382-017-3930-4
  14. Justin, J., Chang, N. B., Harji, R., and Ruppert, T. (2017): Coupling infrastructure resilience and flood risk assessment via copulas analyses for a coastal green-grey-blue drainage system under extreme weather events, Environmental Modelling and Software, 90, 1-26.
  15. Lu, Q., Chang, N. B., and Joyce, J (2017): Predicting long-term urban growth in Beijing (China) with new factors and constraints of environmental change under integrated stochastic and fuzzy uncertainties, Stochastic Environmental Research and Risk Assessment, doi:10.1007/s00477-017-1493-x.
  16. Lu, Q., Chang, N. B., Joyce, J., Chen, A. S., Savic, D. A., Djordjevic, S., and Fu, G.  (2017): Exploring the potential flood Impact on urban growth in London by a cellular automata-based Markov chain model, Computers, Environment, and Urban Systems, in press, Nov., 2017.

Journal Papers: Agricultural Sustainability

  1. Chang, N. B., Srilakshmi Kanth, R. and Parvathinathan, G. (2008): Comparison of models of Simazine transport and fate in subsurface environment in a citrus farm. Journal of Environmental Management, 86, 27-43.
  2. Chang, N. B., Mani, S., Gomathishanker, G. and Srilakshmi Kanth, R. (2009): Pesticide impact assessment via using Enzyme-linked Immunosorbent Assay (ELISA) technique in the Lower Rio Grande River Basin, Texas. Journal of Exposure and Health, 1(3), 145-158.

Summary of major achievement

Major Accomplishment: Integration of remote sensing (RS), global positioning system (GPS), and geographical information system (GIS) provides a powerful avenue to perform more accurate estimation of point and non-point sources pollutant loadings at a watershed scale. The method was then expanded to cover a larger river basin and support basin-scale water quality simulation analysis based on multitemporal land-use and land-cover changes characterized by using multispectral satellite remote sensing images, such as SPOT and LANDSAT images. With the aid of the 3S information technology, an integrated simulation and optimization analysis for generating spatially-varied permit trading ratios and evaluating seasonal transaction prices among different subbasins were proposed and accomplished by Dr. Chang and his students. Besides, global Sea Surface Temperature (SST) anomalies have a demonstrable effect on spatial and temporal precipitation patterns and terrestrial vegetation dynamics via ocean-atmosphere interactions. Dr. Chang was the first scientist who analyzed a series of short-term (10-year), nonstationary and nonlinear teleconnection signals of SST anomalies at the Atlantic and Pacific Oceans and identified some non-leading/unknown teleconnection patterns. These non-leading teleconnection patterns combined with existing leading teleconnection patterns, such as the El Nino Southern Oscillation (ENSO) and North Atlantic Oscillation (NAO), were integrated to account for the associated variations of forest phenology and precipitation changes with remote-sensing-based wavelet analysis. On the other hand, quantification of relative contribution of Antarctic ozone depletion to increased austral extratropical precipitation during 1979-2013 period was conducted by his research team, which represents a big discovery in earth systems science. Besides, a series of studies for the ecosystem dynamics in Lake Okeechobee under the impact climate change were conducted by Dr. Chang and his collaborators. The traditional water quality classification has too much uncertainty that hinders the decision making in water resources management. Dr. Chang and his students developed the fuzzy synthetic evaluation approach to address such uncertainty in decision making. This series of work pioneered some scientific frontiers in sustainable development.

Role: In this subject area, Dr. Chang is the team leader in a few multi-year extensive research projects that were funded by NSF, USEPA, and other agencies collaborative with visiting scientists from several countries. Dr. Chang led this research and conceived, developed, and/or tested several models and technology.  He mentored students to conduct the integrated sensing, monitoring, and modeling analysis toward sustainable decision analysis in cooperation with partners worldwide.

Impact: The ability to quantitatively evaluate the pollution load allocation and relocation based on permit trading ratios across differing pollution units is a milestone achievement in remote sensing-based watershed management. With such advancements, the publication of “Watershed-based point sources permitting strategy and dynamic permit trading analysis“, published by Journal of Environmental Management above has been incorporated in the European Commission’s environmental news service for policy makers, distributed to over 6,000 subscribers – Science for Environment Policy News Alert (Feb. 10, 2008). It has been greatly impacted the policy making for water resources management in different part of the world. Besides, the paper tiled identification of river water quality using the fuzzy synthetic evaluation approach published by the Journal of Environmental Management has been cited by 280 times as of Dec. 2016, due to its novel approach in dealing with the uncertainty embedded in water quality classification in river systems. The body of work of teleconnection signal propagation studies with pattern recognition via wavelet analysis has contributed greatly to the foundations of climate informatics in relation to terrestrial precipitation, streamflow, and vegetation greenness in North and Central America. In addition to sea surface temperature anomalies, relative contribution of Antarctic ozone depletion to increased austral extratropical precipitation in terrestrial system in Australia has been completed. Such advancements deepened the understanding of these climate factors through a suite of big data analytics techniques have resulted in new knowledge on the geophysical basis of climate change.  Besides, the use of the remote sensing-based genetic programming model for streamflow forecasting and wavelet-based empirical orthogonal function for precipitation forecasting under climate change have also had seminal impact on water resources management under climate change. Dr. Chang’s basic and applied research has significantly impacted the urban water infrastructure assessment quantitatively and qualitatively, which is deemed the world’s premier urban water management studies under climate change impact.

HYDROLOGICAL AND ENVIRONMENTAL REMOTE SENSING AND MONITORING NETWORKS

Books

  1. Chang, N. B. and Hong, Y. (2012): Multi-scale Hydrological Remote Sensing: Perspectives and Applications. Publisher: the CRC Press, Boca Raton, FL, USA, 624 pp.
  2. Chang, N. B. (2012): Environmental Remote Sensing and Systems Analysis. Publisher: the CRC Press, Boca Raton, FL, USA, 550 pp.
  3. Chang, N. B. and Bai, K. (2018): Mulitsensor Image Fusion and Machine Learning for Environmental Remote Sensing. Publisher: the CRC Press, Boca Raton, FL, USA, 550 pp.

Book Chapters

  1. Gao, W., Gao Z. and Chang, N. B. (2010): Chapter 10 Trends and Interannual Variability in Surface UV-B Radiation over 8-11 Years Observed across the United States. In: UV Radiation in Global Change: Measurements, Modeling and Effects on Ecosystems, Eds. Gao, W., Schmoldt, D. L. And Slusser, J. R. (Springer Verlag), 270-290.
  2. Chang, N. B. (2012): Chapter 1 Linkages between Environmental Remote Sensing and Systems Analysis. In: Environmental Remote Sensing and Systems Analysis, Ed. Chang, N. B. (Taylor and Francis Group-CRC Press), 1-6.
  3. Chang, N. B. and Xuan, Z. (2012): Chapter 2 Using Remote Sensing-based Carlson Index Mapping to Assess Hurricane and Drought Effects on Lake Trophic State. In: Environmental Remote Sensing and Systems Analysis, Ed. Chang, N. B. (Taylor and Francis Group-CRC Press), 7-24.
  4. Chang, N. B. and Nayee, K. (2012): Chapter 7 Estimating Total Phosphorus Impacts in a Coastal Bay with Remote Sensing Images and In Situ Measurements. In: Environmental Remote Sensing and Systems Analysis, Ed. Chang, N. B. (Taylor and Francis Group-CRC Press), 123-146.
  5. Chang, N. B. and Han, M., Yao, W., and Chen, L. C. (2012): Chapter 12 Remote Sensing Assessment of Coastal Land Reclamation Impact in Dalian, China, Using High Resolution SPOT Images and Support Vector Machine. In: Environmental Remote Sensing and Systems Analysis, Ed. Chang, N. B. (Taylor and Francis Group-CRC Press), 249-276.
  6. Gao, Z., Gao, W. and Chang, N. B. (2012): Chapter 17 Recent Trends of UVB and Stratospheric Ozone Concentrations at the Continental United States. In: Environmental Remote Sensing and Systems Analysis, Ed. Chang, N. B. (Taylor and Francis Group-CRC Press), 395-422.
  7. Chang, N. B. and Hong, Y. (2012): Chapter 1 Towards Multi-scale Hydrologic Remote Sensing for Creating Integrated Hydrological Observatories. In: Multi-scale Hydrological Remote Sensing: Perspectives and Applications, Eds, Chang, N. B. and Hong, Y. (Taylor and Francis Group-CRC Press), 1-8.
  8. Chang, N. B. and Xuan, Z. M. (2012): Chapter 6 Spatiotemporal Interactions between Soil Moisture, Vegetation Cover and Evapotranspiration in the Tampa Bay Urban Region, Florida. In: Multi-scale Hydrological Remote Sensing: Perspectives and Applications, Eds, Chang, N. B. and Hong, Y. (Taylor and Francis Group-CRC Press), 113-138.
  9. Gao, Z., Gao, W. and Chang, N. B. (2012): Chapter 7 Developing a Composite Indicator with Landsat TM/ETM+ Images for Drought Assessment in a Coastal Urban Region. In: Multi-scale Hydrological Remote Sensing: Perspectives and Applications, Eds, Chang, N. B. and Hong, Y. (CRC Press), 139-168.
  10. Sun, Z., Opp, C., Hennig, T. and Chang, N. B. (2012): Chapter 8 Modeling Stream Flow Changes with the Aid of Multi-sourced Remote Sensing Data in a Poorly Gauged Watershed. In: Multi-scale Hydrological Remote Sensing: Perspectives and Applications, Eds, Chang, N. B. and Hong, Y. (Taylor and Francis Group-CRC Press), 169-184.
  11. Khan, S., Chang, N. B., Hong, Y., Xianwu Xue, and Yu Zhang (2015): Remote Sensing for Multi-scale Hydrological Studies: Advances and Perspectives, in Remote Sensing of Water Resources, Disasters and Urban Studies, Vol. III, Ed, Prasad Thenkabail (Taylor and Francis Group-CRC Press).

Journal Papers: Overviews

  1. Huang, G. H. and Chang, N. B. (2003): The perspectives of environmental informatics and systems analysis. Journal of Environmental Informatics, 1(1), 1-6.
  2. Zhou, X. B., Chang, N. B. and Li, S. S. (2009): Applications of SAR interferometry in earth and environmental science research. Sensors Journal, 9(3), 1876-1912.
  3. Chang, N. B., Imen, S., and Vannah, B. (2015): Remote sensing for monitoring surface water quality status and ecosystem state in relation to the nutrient cycle: a 40-year perspective. Critical Reviews of Environmental Science and Technology, 45(2), 101-166.

Journal Papers: Monitoring Network Optimization

  • Air Quality Management
  1. Chang, N. B. and Tseng, C. C. (1999): Optimal design of multi-pollutant air quality monitoring network in a metropolitan region using Kaohsiung, Taiwan as an example. Journal of Environmental Monitoring and Assessment, 57(2), 121-148.
  2. Chang, N. B. and Tseng, C. C. (1999): Optimal evaluation of expansion alternatives for existing air quality monitoring network in an urban area by grey compromise programming. Journal of Environmental Management, 56(1), 61-77.
  3. Chang, N. B. and Tseng, C. C. (2001): Assessing relocation strategy of urban air quality monitoring network by compromise programming. Environment International, 26, 524-541.
  4. Bai, K., Chang, N. B., Yu, H., and Gao, W. (2016): Statistical bias corrections for creating coherent total ozone records with OMI and OMPS observations. Remote Sensing of Environment, 182, 150–168.
  • Water Quality Management
  1. Ning, S. K. and Chang, N. B. (2002): Multi-objective, decision-based assessment of a water quality monitoring network in a river system. Journal of Environmental Monitoring, 4, 121-126.
  2. Ning, S. K. and Chang, N. B. (2004): Optimal expansion of water quality monitoring network by fuzzy optimization approach. Environmental Monitoring and Assessment, 91(1-3), 145-170.
  3. Ning, S. K. and Chang, N. B. (2005): Screening and sequencing analysis for the relocation of water quality monitoring network by compromise programming. Journal of American Water Resources Association, 41(5), 1039-1052.
  4. Imen, S., Chang, N. B., and Yang, J. (2015): Developing a remote sensing-based early warning system for monitoring TSS concentrations in Lake Mead, Journal of Environmental Management, 160, 73-89.
  • Monitoring Network for Energy Infrastructures
  1. Chang, N. B., Ning, S. K. and Chen, J. C. (2006): Multi-criteria relocation strategy of offsite radioactive monitoring network for a nuclear power plant. Environmental Management, 38(2), 197-217.

Journal Papers: Hydrological Processes in Watersheds and Coastal Environments

  1. Ning, S. K., Chang, N. B., Jeng, K. Y. and Tseng, Y. H. (2006): Soil erosion and non-point sources pollution impacts assessment with the aid of remote sensing. Journal of Environmental Management, 79(1), 88-101.
  2. Makkeasorn, A., Chang, N. B., Beaman, M., Wyatt, C. and Slater, C. (2006): Soil moisture prediction in a semi-arid reservoir watershed using RADARSAT satellite images and genetic programming. Water Resources Research, 42, 1-15.
  3. Chang, N. B. and Makkeasorn, A. (2010): Optimal site selection of watershed hydrological monitoring stations using remote sensing and grey integer programming. Environmental Modeling and Assessment, 15(6), 469-486.
  4. Zhou, X. B., Chang, N. B. and Li, S. S. (2007): Detection of coastal region sea ice decay from orthorectified RADARSAT-1 ScanSAR imagery: a case study of Bering Strait and Norton Sound, Alaska. Journal of Environmental Informatics, 10(1), 37-46.
  5. Gao, Z., Gao, W. and Chang, N. B. (2011): Integrating Temperature Vegetation Dryness Index (TVDI) and Regional Water Stress Index (RWSI) for drought assessment with the aid of landsat TM/ETM+ images. International Journal of Applied Earth Observation and Geoinformation, 13(3), 495-503.
  6. Gao, Z., Liu, C., Gao, W. and Chang, N. B. (2011): A coupled remote sensing and the Surface Energy Balance with Topography Algorithm (SEBTA) to estimate actual evapotranspiration over heterogeneous terrain. Hydrology and Earth System Sciences, 15, 119-139.
  7. Chang, N. B., Crawford, A. J., and Mohiuddin, G. (2015): Low flow regime measurements with an Automatic Pulse Tracer Velocimeter (APTV) in heterogeneous aquatic environments, Flow Measurement and Instrumentation, 42, 98–112.
  8. Crawford, A. J. and Chang, N. B. (2015): Developing the Groundwater Variability Probes (GVP) and wireless sensor networks for characterizing the subsurface low flow field, IEEE Sensors Journal, 99, 1-10.
  9. Doña-Monzó, C., Chang, N. B., Caselles, V., Sánchez-Tomás, J. M., Lluís Pérez-Planells, L., del Mar Bisquert, García-Santos, V., Imen, S., and Camacho, A. (2016). Monitoring seasonal hydrological patterns of temporary lakes using remote sensing and machine learning models: case study of La Mancha Húmeda Biosphere Reserve in Central Spain, Remote Sensing, 8, 618; doi:10.3390/rs8080618.

Journal Papers: Agricultural Sustainability

  1. Du, Q., Chang, N. B., Yang, C. H. and Srilakshmi Kanth, R. (2008): Combination of multispectral remote sensing, variable rate technology and environmental modeling for citrus pest management. Journal of Environmental Management, 86, 14-26.
  2. Gao, Z., Xie, X., Gao, W. and Chang, N. B. (2011): Spatial analysis of terrain-impacted Photosynthetic Active Radiation (PAR) using MODIS data. GIScience & Remote Sensing, 48(4), 1-21.
  3. Chen, C. F., Valdez, M. C., Chang, N. B., Chang, L. Y., and Yuan, P. Y. (2014): Monitoring spatiotemporal surface soil moisture variations during dry seasons in Central America with multi-sensor cascade data fusion. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7(11), 4340-4355.
  4. Doña-Monzó, C., Chang, N. B., Sánchez-Tomás, J. M., Delegido-Gómez, J., Camacho-González, A., Caselles-Miralles, V., and Vannah, B. W. (2015): Integrated satellite data fusion and mining for monitoring lake water quality status of the Albufera de Valencia in Spain, Journal of Environmental Management, 151, 416-426.

Journal Papers: Water Availability and Quality in Aquatic Environments

  1. Chang, N. B., Daranpob, A., Yang, J., and Jin, K. R. (2009): A comparative data mining analysis for information retrieval of MODIS images: monitoring lake turbidity changes at Lake Okeechobee, Florida. Journal of Applied Remote Sensing, 3, 033549.
  2. 2. Chang, B., Yang, J. and Daranpob, A. (2010): Medium-term Metropolitan Water Availability Index (MWAI) assessment based on synergistic potentials of multi-sensor data. Journal of Applied Remote Sensing, 4, 043519.
  3. Chang, N. B., Yang, Y., Goodrich, J. A. and Makkeasorn, A. (2010): Development of the Metropolitan Water Availability Index (MWAI) and short-term assessment with multi-scale remote sensing technologies. Journal of Environmental Management, 91, 1397-1413.
  4. Chang, N. B., Yang, J., Daranpob, A., Jin, K. R. and James, T. (2012): Spatiotemporal pattern validation of Chlorophyll-a concentrations in Lake Okeechobee, Florida using a comparative MODIS image mining approach. International Journal of Remote Sensing, 33(7), 2233-2260.
  5. Chang, N. B., Wimberly, B. and Xuan, Z. M. (2012): Identification of spatiotemporal nutrient patterns in a coastal bay via an integrated K-means clustering and gravity model. Journal of Environmental Monitoring, 14, 992-1005.
  6. Chang, N. B., Xuan, Z. M. and Wimberly, B. (2012): Remote sensing spatiotemporal assessment of nitrogen concentrations in Tampa Bay, Florida due to a drought. Journal of Terrestrial, Atmospheric and Oceanic Sciences, 23(5), 467-479.
  7. Chang, N. B., Xuan, Z., and Yang, J. (2013): Exploring spatiotemporal patterns of phosphorus concentrations in a coastal bay with MODIS images and machine learning models. Remote Sensing of Environment, 134, 100-110.
  8. Chang, N. B., Vannah, B., Yang, Y. J., and Elovitz, M. (2014): Integrated data fusion and mining techniques for monitoring total organic carbon concentrations in a lake. International Journal of Remote Sensing, 35(3), 1064-1093.
  9. Chang, N. B. and Vannah, B., and Yang, J. (2014): Comparative sensor fusion between hyperspectral and multispectral remote sensing data for monitoring microcystin distribution in Lake Erie. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7(6), 2426-2442.
  10. Chang, N. B., Bai, K. X., and Chen, C. F. (2015): Smart information reconstruction via time-space-spectrum continuum for cloud removal in satellite images. IEEE Journal of Selected Topics in Applied Earth Observations, 99, 1-19.
  11. Bai, K., Chang, N. B., and Chen, C. F. (2015): Spectral information adaptation and synthesis scheme for merging cross-mission consistent ocean color reflectance observations from MODIS and VIIRS. IEEE Transactions on Geoscience and Remote Sensing, 54(1), 311-329.
  12. Chang, N. B., Bai, K. X., Imen, S., Chen, C. F., and Gao, W. (2016): Multi-sensor satellite image fusion, networking, and cloud removal for all-weather environmental monitoring. IEEE Systems Journal, DOI: 10.1109/JSYST.2016.2565900.
  13. Imen, S., Chang, N. B., Yang, J., and Golchubian, A. (2016): Developing a model-based drinking water decision support system featuring remote sensing and fast learning techniques. IEEE Systems Journal, (99), 1-11.
  14. Chang, N. B., Bai, K., and Chen C. F. (2017): Integrating multisensor satellite data merging and image reconstruction in support of machine learning for better water quality management. Journal of Environmental Management, 201(1), 227-240.

Journal Papers: Ecosystem Dynamics, Restoration, and Carbon Fluxes

  1. Makkeasorn, A. and Chang, N. B. (2009): Seasonal change detection of riparian zones with remote sensing images and genetic programming in a semi-arid watershed. Journal of Environmental Management, 90, 1069–1080.
  2. Gao, Z., Gao, W. and Chang, N. B. (2010): Impact of climate and land use/cover changes on the carbon cycle in China (1981-2000): a system-based assessment. Biogeosciences Discussion, 7(4), 5517-5555.
  3. Sun, Z., Chang, N. B. and Opp, C. (2010): Using SPOT-VGT NDVI as successive ecological indicators of for understanding the environmental implications in the Tarim River Basin, China. Journal of Applied Remote Sensing, 4, 043554.
  4. Sun, Z., Chang, N. B., Opp, C. and Hennig, T. (2011): Evaluation of ecological restoration through vegetation patterns in the Lower Tarim River, China with MODIS NDVI Data. Ecological Informatics, 6, 156-163.
  5. Chen, C. F., Son, N. T., Chang, N. B., Chen, C. R., Chang, L. U., Valdez, M., Centeno, G., Thompson, C., and Aceituno, J. L. (2013): Multi-decadal mangrove forest change detection and prediction in Honduras, Central America with Landsat imageries and Markov chain model. Remote Sensing, 5(12), 6408-6426.
  6. Son, N. T., Chen, C. F., Chang, N. B., and Chen, C. R. (2015): Mangrove mapping and change detection in Ca Mau Peninsula, Vietnam using Landsat data and object-based image analysis. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8(2), 530-510.
  7. Chen, C. F., Lau, V. K., Chang, N. B., Son, N. T., and Tong Phoc, H. S. (2016): Multi-temporal change detection of seagrass beds using integrated Landsat TM/ETM+/OLI imageries in Cam Ranh Bay, Vietnam, Ecological Informatics, 35, 43-54.

Journal Papers: Land Use and Land Cover Changes and Land Thermal Fluxes

  1. Gao, W., Zhang, W., Gao, Z. and Chang, N. B. (2009): Modeling the land surface heat exchange process with the aid of moderate resolution imaging spectroradiometer images. Journal of Applied Remote Sensing, 3, 033573.
  2. Chang, N. B., Han, M., Yao, W., Xu, S. and Chen, L. C. (2010): Change detection of land use and land cover in a fast-growing urban region with SPOT-5 images and partial Lanczos extreme learning machine. Journal of Applied Remote Sensing, 4, 043551.
  3. Chen, H. W., Chang, N. B., Yu, R. F. and Huang, Y. W. (2009): Urban land use and land cover classification using the neural-fuzzy inference approach with Formosat-2 Data. Journal of Applied Remote Sensing, 3, 033558.
  4. Xie, H., Chang, N. B., Makkeasorn, A. and Prado, D. (2010): Assessing the long-term urban heat island in San Antonio, Texas based on MODIS/Aqua Data. Journal of Applied Remote Sensing, 4, 043508.
  5. Gao, Z., Gao, W. and Chang, N. B. (2012): Evaluation of dynamic linkages between evapotranspiration and land use/land cover changes with Landsat TM and ETM+ data. International Journal of Remote Sensing, 33(12), 3733-3750.
  6. Sadeghi, Z., Zouj, M. J. V., Dehghani, M. and Chang, N. B. (2012): An enhanced algorithm based on persistent scatterer interferometry for high-rate land subsidence estimation. Journal of Applied Remote Sensing, 6(1), 063573.

Journal Papers: Ultraviolet Exposure and Related Environmental Health Effects

  1. 1. Gao, Z., Gao, W., and Chang, N. B. (2010): Comparative analyses of the ultraviolet-B flux over the continental United States based on the NASA TOMS data and USDA Ground-based Measurements. Journal of Applied Remote Sensing, 4, 043547.
  2. Gao, Z., Gao, W., and Chang, N. B. (2010): Detection of multidecadal changes in UVB and total ozone concentrations over the continental US with NASA TOMS data and USDA Ground-based measurements. Remote Sensing, 2(1), 262-277.
  3. Chang, N. B., Feng, R., Gao, Z. and Gao, W. (2010): Skin cancer incidence is highly associated with ultraviolet-B radiation history. International Journal of Hygiene and Environmental Health, 213, 359-368.
  4. Gao, Z., Gao, W. and Chang, N. B. (2012): Spatial statistical analyses to address the global trends of ultraviolet B fluxes in the continental US. GIScience and Remote Sensing, 49(4), 1–19.

Journal Papers: Drinking Water Distribution Network Analyses Using Expert Systems

  1. Chang, N. B., Pongsanone, N. P. and Ernest, A. (2011): Comparisons between a rule-based expert system and optimization models for sensor deployment in a small-scale drinking water distribution network. Expert System with Applications, 38, 10685–10695.
  2. Chang, N. B., Ernest, A. and Pongsanone, N. P. (2012): A rule-based decision support system for sensor deployment in small drinking water networks. Journal of Cleaner Production, 29, 28-37.
  3. Chang, N. B., Pongsanone, N. P. and Ernest, A. (2012): Optimal sensor deployment in a large-scale complex drinking water distribution network: comparisons between a rule-based decision support system and optimization models. Computers and Chemical Engineering, 43, 191-199.

Summary of major achievement in environmental and hydrological remote sensing

Major Accomplishment: Delineating accurate distributions of the quality and quantity of water, air pollutants and greenhouse gases in the atmospheric environment, ecosystem state in natural systems, as well as other earth observations requires the integration of various remote sensing technologies. For example, nutrient fluxes in surface and groundwater systems may be driven by atmospheric deposition, agricultural runoff, and urbanization effect such that space-borne, air-borne and in situ sensors are all needed for monitoring the fate and transport of them.  With a thorough coverage of over 50 satellite remote sensing sensors based on a 40-year literature review, conducted by Dr. Chang’s research team, he continued the water quality monitoring research for a broader range of environmental assessment, ecosystem restoration, and agricultural applications in the past 8 years.  Dr. Chang was the first scientist who developed a series of new algorithms with different platforms and sensors for monitoring eutrophication in lakes, coastal bays, and reservoirs.  Recently, he developed an integrated data fusion and mining (IDFM) technology, providing continuous near-term environmental monitoring to retrieve spatial and temporal distributions of key water availability and quality variables based on optical remote sensing images. Cloud contamination is a big obstacle when processing optical remote sensing satellite images retrieved from visible and infrared spectral ranges for earth observations. Although computational techniques including interpolation and substitution have been applied to recover missing information caused by cloud contamination, these algorithms are subject to many limitations. Facing such challenges, Dr. Chang was the first scientist who built up a suite of advanced methods with convergent and divergent algorithms to fill in this gap. On one hand, he developed the novel Spectral Information Adaptation and Synthesis Scheme (SIASS) algorithm for coupling several satellites to work together synchronously for cloudy pixel recovery, and on the other hand, he invented the SMart Information Reconstruction (SMIR) method to complement the SIASS for cloudy pixel reconstruction from the time-space-spectrum continuum with the aid of a machine learning tool. He also developed some unique feature extraction methods with the aid of fast and deep leaning algorithms in artificial intelligence to aid in these tasks. These efforts through developing the IDFM, SMIR and SIASS algorithms have culminated into his most recent invention of the cross-mission data merging with image reconstruction and mining (CDMIM) which is deemed as the first decision support system of its kind in the world providing monitoring capacity in a timely manner over extensive area with accuracy. Such a myriad of novel advancements/publications appears to be a break-through in remote sensing science for environmental protection.  Besides, coastal management in the interface between river basins and neighboring water bodies are deemed critical for sustainable development. Dr. Chang was also the first scientist who applied genetic programming model to retrieve the soil moisture information from space-borne RADARSAT-1 microwave satellite images in a vast semi-arid coastal watershed in Texas and quantify the nutrient fluxes in Tampa Bay to address sea land interactions from hydrological and environmental perspectives.  To account for climate change impact on water resources management, Dr. Chang and his collaborators also explored a unique hydrometeorological process of precipitation patterns and associated summer extreme flow using TRMM/PR data. The impact of recent drought and water pollution episodes results in an acute need to project future water availability and quality to assist water managers in water utility infrastructure management within many metropolitan regions. With long-term funding support from USEPA, he has developed a plethora of remote sensing technologies that were demonstrated in terms of monitoring turbidity and Chlorophyll-a concentrations in Lake Okeechobee, nutrient concentrations in Tampa Bay, Total Organic Carbon (TOC) in Lake Harsha, water transparency in Lake Valencia, nutrients in Lake Nicaragua, microcystin in Lake Erie and Total Suspended Solid (TSS) and TOC in Lake Mead.  This body of research pioneered some scientific frontiers in hydroinformatics regime with the aid of a suite of Earth observing systems.  In connection to the monitoring work in aquatic environments, improved land management capacity is critically dependent on real-time or near real-time monitoring of land-use and land cover change to the extent to which solutions to a whole host of urban/rural interface development issues may be well managed promptly.  He has also completed the multi-temporal change detection of land use and land cover in urban regions making use of the wide range images and algorithms. Dr. Chang was also the first scientist to apply the partial lanczos extreme learning machine (PL-ELM) for processing SPOT images and the neural-fuzzy inference approach for processing Formosat-2 data for analyzing two types of urban systems.  This series of work was extended to examine urban heat island effect associated with local hydroclimatic conditions using MODIS satellite data and dynamic linkages between evapotranspiration and land use/land cover changes with Landsat TM and ETM+ data, both of which demonstrate pioneered investigation of urban sustainability issues.  For ecosystem monitoring funded by NASA, Dr. Chang developed a new and innovative algorithm utilizing synthetic concepts that resulted in a solution to this critical problem. The algorithm is known as the Riparian Classification Algorithm (RICAL) to conduct the seasonal change detection of riparian zones in a vast semi-arid watershed, South Texas using RADARSAT-1 and LANDSAT remote sensing images.  More recently, the paper titled “Multi‐Decadal Mangrove Forest Change Detection and Prediction in Honduras, Central America, with Landsat Imagery and a Markov Chain Model’ demonstrated the first effort to forecast the possible mangrove forest changes for the future using remote sensing technologies. Finally, in response to the needs for long-term water quality monitoring in drinking water distribution systems, one of the most significant challenges currently facing the water industry is to investigate the sensor placement strategies with modern concepts of and approaches to risk management.  Most of the previous research mainly focuses on using optimization models to deal with small-scale drinking water networks. Yet the challenge of computational burden when handling large-scale networks can hardly be overcome. Dr. Chang conducted the pioneering work which utilized the potential of graph theory-based optimal sensor deployment strategies in a Rule-based Expert System (RBES) with no computational burden as we oftentimes encountered in various types of large-scale optimization analyses. This series of modeling efforts using graph theory and expert system to aid in sensor network deployment in drinking water networks have created a new direction in this field.

Role: Dr. Chang conceived the research niches and led these research activities to conduct some of the retrospective and perspective analyses.  He initiated this series of remote sensing research, developed the hypotheses, led the development of the methodology and framework, cooperatively designed field experiments and field campaigns with the support of NASA and USEPA staff, conducted the ground-truth data collection in some projects, and performed part of the data analysis.  The scope of the research programs expanded significantly over time and involved a large team across several countries that was coordinated and managed by Dr. Chang for several extended studies.

Impact: Dr. Chang had successfully demonstrated the ability to map and monitor soil moisture using RADARSAT-1 L-band imageries with genetic programming model leading to support the ecosystem health assessment in riparian zones and stream flow forecasting under climate change.in South Texas.  These results elevated the importance of soil moisture measurements within NASA’s Earth Observation Program. These studies were critical to the applications of soil moisture products to support the USEPA-funded projects afterward for multi-scale water resources management and the development of MWSI. Successful applications include drought monitoring, water quality monitoring, and water availability forecasts in various urban regions from South Florida to Nevada, and to New York. Later on, graduate students from University of Valencia in Spain, East China Normal University in China, and National Central University in Taiwan came over to UCF for their dissertation work along this direction of multi-sensor data merging, fusion, and machine learning. These projects had been highly successful at addressing a broad range of the optimal sensor integration strategies at different scales and had been the basis for numerous advanced applications in students’ thesis research.  The data had been used in Lake Nicaragua studies that went well beyond the initial research concept. Dr. Chang was the first scientist who has been impacting remote sensing research with a wealth of fast and deep learning techniques to enhance the feature extraction power. Besides, his work in a series of change detection of LULC. As a result of this research, new discoveries and insights involving the environmental physics of urban planning were made, in particular coherent thermal flux phenomena occurring during evapotranspiration process and heat island effect. Results from this body of research have been recognized as highly innovative and significant by a SPIE highlighted online news reported his achievement of using SPOT-5 high resolution satellite images for this application. This online article is titled “Satellite-based Multi-temporal Change Detection in Fast Growing Urban Environments” in the SPIE Newsroom published on 21 January 2011. Besides, the paper titled “Multi‐Decadal Mangrove Forest Change Detection and Prediction in Honduras, Central America, with Landsat Imagery and a Markov Chain Model’ has been included in a synthesis report introducing the global status and ecosystem services provided by mangrove forests, compiled by the World Conservation Monitoring Centre (WCMC), the United Nations Environment Program (UNEP). Dr. Chang was elected as a Fellow of AAAS in 2011 due to his work of “Integrated Sensing, Monitoring and Modeling for Decision Analysis.”

STORMWATER AND WASTEWATER TREATMENT PROCESS OPTIMIZATION

Books

  1. Chang, N. B. (2010): The Effects of Urbanization on Groundwater: An Engineering Case-based Approach for Sustainable Development. Publisher: American Society of Civil Engineers (ASCE), Reston VA, 400 pp.

Book Chapters

  1. Chang, N. B., Wanielista, M., Moberg, M. and Hossain, F. (2010): Chapter 8 Use of Functionalized Filter Media for Nutrient Removal in Stormwater Ponds. In: The Effects of Urbanization on Groundwater: An Engineering Case-based Approach for Sustainable Development, Ed. Chang, N. B. (ASCE), 199-223.
  2. Chang, N. B., Wanielista, M., Daranpob, A., Hossain, F., and Xuan, Z. (2010): Chapter 9 Comparative Assessment of Two Standard Septic Tank Drain Fields Using Different Sand with Recirculation for Nutrient Removal. In: The Effects of Urbanization on Groundwater: An Engineering Case-based Approach for Sustainable Development, Ed. Chang, N. B. (ASCE), 224-250.

Patents

  1. Passive Nutrient Removal Material Mixes. (DIV A) US Patent 7824551 issued on Nov. 2, 2010.
  2. Retention/Detention Pond and Green Roof Passive Nutrient Removal Material Mixes (Green Roof). US Patent 7897047 issued on March 1, 2011.
  3. Passive Underground Drainfield for Septic Tank Nutrient Removal Using Special Functionalized Green Filtration Media. US Patent 7927484 issued on April 19, 2011.
  4. Functionalized Green Filtration for Passive Underground Drainfield for Septic Tank Nutrient Removal. US Patent 7955507 issued on June 7, 2011.
  5. Passive Nutrient Removal Material Mixes. (DIV) US Patent 8002985 issued on August 23, 2011.
  6. Retention/Detention Pond Stormwater Treatment System. US Patent 8153005 issued on April 10, 2012.
  7. On Site Wastewater Treatment Using a Functionalized Green Filtration Media Sorption Field. US Patent 8101079 issued Jan. 24, 2012
  8. Green Sorption Media for Water Treatment. US Patent 8002984 issued on August 23, 2012.
  9. Subsurface Upflow Wetland System for Nutrient and Pathogen Removal in Wastewater Treatment Systems. US Patent 8252182, issued on August 28, 2012.
  10. Iron-filings-based Green Sorption Media for Nutrient Removal and Recovery, filed on Nov. 13, 2017.
  11. Automatic Pulse Tracer Velocimeter (APTV), UCF0047682-A1, pending for final approval, Nov. 18, 2017.
  12. Groundwater Variability Probe (GVP), UCF0047682-A2, filed on Nov. 30, 2017.

Journal Papers: Green Sorption Media for Wastewater and Stormwater Treatment

  • Overviews
  1. Chang, N. B., Hossain, F. and Wanielista, M. (2010): Use of filter media for nutrient removal in natural systems and built environments (I): previous trends and perspectives. Environmental Engineering Science, 27(9), 689-706.
  2. Chang, N. B., Wanielista, M. and Makkeasorn, A. (2010): Use of filter media for nutrient removal in natural systems and built environments (II): design challenges and application potentials. Environmental Engineering Science, 27(9), 707-720.
  3. Chang, N. B. (2011): Making a progress to speed up the nitrification and denitrification processes in novel biosorption activated media: can Archaea be in concert with Anammox? Journal of Bioprocessing and Biotechniques, 1(2), 1-5.
  • Technology Development – Wastewater Treatment for Nutrient Management
  1. Xuan, Z., Chang, N. B., Wanielista, M. and Hossain, F. (2010): Laboratory-scale characterization of the green sorption medium for wastewater treatment to improve nutrient removal. Environmental Engineering Science, 27(4), 301-312.
  2. Hossain, F., Chang, N. B., Wanielista, M., Xuan, Z. M. and Makkeasorn, A. (2009): Nitrification and denitrification effect in a passive on-site wastewater treatment system with a recirculation filtration tank. Journal of Exposure and Health, 1(3-4), 31-46.
  3. Xuan, Z. M., Chang, N. B., Makkeasorn, A. and Wanielista, M. (2009): Initial test of a subsurface constructed wetland with green sorption media for nutrient removal in on-site wastewater treatment systems. Journal of Exposure and Health, 1(3), 159–169.
  4. Chang, N. B., Wanielista, M., Daranpob, A., Hossain, F. and Xuan, Z. (2010): New performance-based passive septic tank underground drainfield for nutrient and pathogen removal using sorption medium. Environmental Engineering Science, 27(6), 469-482.
  5. Chang, N. B., Xuan, Z. M., Daranpob, A. and Wanielista, M. (2011): A subsurface upflow wetland system for nutrient and pathogen removal in on-site sewage treatment and disposal systems. Environmental Engineering Science, 28(1), 11-24.
  • Technology Development – Stormwater Treatment for Pollution Control
  1. Chang, N. B., Wanielista, M. and Henderson, D. (2011): Temperature effects on functionalized filter media for nutrient removal in stormwater treatment. Environmental Progress and Sustainable Energy, 30(3), 309-317.
  2. Ryan, P., Wanielista, M. and Chang, N. B. (2010): Reducing nutrient concentrations from a stormwater wet pond using a Chamber Upflow Filter and Skimmer (CUFS) with green sorption media. Water, Air and Soil Pollution, 208(1), 385-400.
  3. O’Reilly, A., Wanielista, M., Chang, N. B., Xuan, Z. and Harris, W. G. (2012): Biogeochemical assessment of coupled nitrogen and carbon cycle beneath a stormwater infiltration basin with biosorption activated media. Science of the Total Environment, 432, 227-242.
  4. O’Reilly, A., Wanielista, M., Chang, N. B., Harris, W. G. and Xuan, Z. M. (2012): Soil property control of biogeochemical processes beneath two subtropical stormwater infiltration ponds. Journal of Environmental Quality, 41, 1-18.
  5. O’Reilly, A., Chang, N. B. and Wanielista, M. (2012): Effects of cyclic biogeochemical processes on nitrogen cycling beneath a subtropical stormwater infiltration pond. Journal of Contaminant Hydrology, 133, 53-75.
  6. Lian, J., Xu, S., Chang, N. B., Han, C. and Liu, J. (2013): Removal of molybdate from mine tailing effluents with the aid of loessial soil and slag waste. Environmental Engineering Science, 30(5), 213-220.
  7. Jones, J., Chang, N. B., and Wanielista, M. (2015): Reliability analysis of phosphorus removal efficiencies of stormwater runoff with green sorption media under varying influent conditions. Science of the Total Environment, 502(1), 434–447.
  8. Chang, N. B., Houmann, C., and Wanielista, M. (2016): Scaling up the sorption media reactors for copper removal with the aid of dimensionless numbers. Chemosphere, 144, 1098-1105.
  9. Chang, N. B., Lin, K. S., Houmann, C., and Wanielista, M. P. (2016): Fate and transport with material response characterization of green sorption media for copper recovery via adsorption process, Chemosphere, 144, 1280-1289.

10.Chang, N. B., Lin, K. S., Houmann, C., and Wanielista, M. P. (2016): Fate and transport with material response characterization of green sorption media for copper recovery via desorption Process, Chemosphere, 154, 444-453.

11.Chang, N. B., Lin, K. S., Wanielista, M., Crawford, A. J., Hartshorn, N., and Clouet, B. (2016): An innovative solar energy-powered floating media bed reactor for nutrient removal (I): reactor design,” Journal of Cleaner Production, 133, 495-503.

  1. Lin, K. S., Chang, N. B., Hartshorn, N., Wanielista, M., and Chiang, C. L. (2016): An innovative solar energy-powered floating media bed reactor for nutrient removal (II): material characterization,” Journal of Cleaner Production, 133, 1128–1135.
  • Design Models and Tracer Studies to Address System Dynamics
  1. Xuan, Z. M., Chang, N. B., Daranpob, A. and Wanielista, M. (2010): Modeling the Subsurface Upflow Wetlands (SUW) systems for wastewater effluent treatment. Environmental Engineering Science, 27(10), 879-888.
  2. 2. Hossain, F., Chang, N. B. and Wanielista, M. (2010): Modeling kinetics and isotherm of functionalized filter medium for nutrient removal in stormwater dry ponds. Environmental Progress and Sustainable Energy, 29(3), 319–333.
  3. Xuan, Z. M., Chang, N. B. and Wanielista, M. (2012): Modeling the system dynamics for nutrient removal in an innovative septic tank media filter. Bioprocess and Biosystems Engineering, 35(4), 545-552.
  4. Chang, N. B., Xuan, Z. M. and Wanielista, M. (2012): A tracer study for addressing the interactions between hydraulic retention time and transport processes in a subsurface wetland system for nutrient removal. Bioprocess and Biosystems Engineering, 35(3), 399-406.
  • Policy Analysis of Low Impact Development
  1. Chang N. B., Lu, G. W., Chui, T. F., and Hartshorn, N. (2017): Comparative Policy Analysis of Low Impact Development for Stormwater Management in Global Urban Regions,” Land Use Policy, 70, 368-383.

Journal Papers: Water Quality Prediction and Control

  • Water Quality Prediction and Reclamation
  1. Dong, S. Y., Shieh, W. K. and Chang, N. B. (2005): Real-time prediction of effluent water quality via adaptive grey dynamic modeling analysis. The Journal of Grey Systems, 17(1), 51-66.
  2. Chen, J. C., Chang, N. B. and Shieh, W. K. (2003): Assessing wastewater reclamation potential by neural networks model. Engineering Applications of Artificial Intelligence, 16(2), 149-157.
  3. Tahsin, S. and Chang, N. B. (2016): A fast eutrophication assessment method for stormwater wet detention ponds via fuzzy probit regression analyses. Environmental Monitoring and Assessment, 188(2), 1-18.
  • Controller Design
  1. Chang, N. B., Chen, W. C. and Shieh, W. K. (2001): Optimal control of wastewater treatment plant via integrated neural network and genetic algorithms. Civil Engineering and Environmental Systems, 18, 1-17.
  2. Chen, W. C., Chang, N. B. and Shieh, W. K. (2001): Advanced hybrid fuzzy controller for industrial wastewater treatment. Journal of Environmental Engineering, ASCE, 127(11), 1048-1059.
  3. Chen, W. C., Chang, N. B. and Chen, J. C. (2003): Rough set-based fuzzy neural controller design for industrial wastewater treatment. Water Research, 37(1), 78-90.
  4. Chen, J. C. and Chang, N. B. (2007): Mining the fuzzy control rules of aeration in submerged biofilm wastewater treatment process. Engineering Applications of Artificial Intelligence, 20, 959-969.

Journal Papers: Cost Benefit Analysis

  1. Chen, H. W., Wu, C. C. and Chang, N. B. (2002): A comparative analysis of methods to represent uncertainty in estimating the cost of constructing wastewater treatment plants. Journal of Environmental Management, 65(4), 383-409.

Journal Papers: Nutrient Management Using Nanotechnologies

  1. Lin, K. S., Chang, N. B. and Chuang, T. D. (2008): Fine structure characterization of zero-valent Iron nanoparticles for decontamination of nitrites and nitrates in wastewater. Science and Technology for Advanced Materials, 9, 025105 (9pp).
  2. Chang, N. B., Wanielista, M., Hossain, F., Zhai, L. and Lin, K. S. (2008): Integrating nanoscale zero valent iron and titanium dioxide for nutrient removal in stormwater systems. NANO: Brief Reports and Reviews, 3(4), 297-300.
  3. Lin, K. S., Chuang, T. D. and Chang, N. B. (2008): Decontamination of nitrates and nitrites in wastewater by zero-valent iron nanoparticles. NANO: Brief Reports and Reviews, 3(4), 291-295.
  4. Lin, K. S., Lo, C. C. and Chang, N. B. (2008): Synthesis and characterization of titania nanotube for dye wastewater treatment. NANO: Brief Reports and Reviews, 3(4), 257-262.

Summary of major achievement in stormwater management and wastewater treatment

Major Accomplishment:

Rapid urbanization and climate variability triggered more extreme precipitation and drought events, challenging stormwater management in terms of both flood control and water quality management in both urban and rural areas. Understanding nitrogen cycle in natural systems and the built environment has been deemed one of the twelve grand challenges by the National Academy of Engineering. With a suite of laboratory tests and field campaigns, a broader range of field conditions for Biosoprtion Activated Media (BAM) applications were identified for stormwater, groundwater and wastewater treatment toward nutrient and pathogen removal. Modeling these unique stormwater and wastewater treatment processes for planning, design and operation was conducted by using system dynamics modeling approach. Dr. Chang was the first scientist who conducted this series of research building a myriad of system analysis models with confirmed performance through calibration and validation thereby opening a new path to widespread applications related to the Best Management Practices.  Conducted by Dr. Chang and his colleagues/students, results from extended investigations include optimal control studies, tracer studies, kinetics studies with temperature variations, and possible combination with some nanomaterials. Overall, this body of work demonstrated pioneered investigation in regard to water sustainability issues in urban regions.

Role: Dr. Chang conceived the research niches, select research topics, and led these research activities by conducting part of the literature review and modeling analysis.  Development of the BAM was confirmed with efforts after culminating a series of laboratory and field studies.  With the long-term funding support from the state and local government agencies, Dr. Chang identified the study objectives, initiated this series of science questions, developed the hypotheses, and led the development of the experimental design and modeling analysis framework, cooperatively planned/designed the stormwater and wastewater test beds on campus, and performed part of the data analysis.  The scope of the research program expanded significantly over time and involves a series of comparisons of results across several countries (i.e., Singapore, Hong Kong, China, and New Zealand) that was coordinated and communicated by Dr. Chang within a series of extended outreach endeavor.

Impact: Dr. Chang was the first scientist who co-invented the BAM with his colleague Dr. Wanielista having 8 relevant US patents in the green materials areas approved for nutrient removal in dealing with nutrient-laden stormwater and wastewater streams.  Dr. Chang had successfully demonstrated the ability to remove nutrients, heavy metals, and pathogens with BAM and conducted the possible sensitivity analysis with system dynamics modeling. This was the first effort of its kind to bring together a diverse body of sorption media into an operational level.  These projects had also been highly successful at addressing a broad range of application potential. BAM-oriented Low Impact Development (LID) technologies have been licensed to industry such as Sun Tree Inc. in Florida and Environmental Resources Conservation Inc. in Texas in the United States and applied to many locations such as Alligator Creek for creek restoration, Ruskin, Zolfra Spring, and Palatka for restoration of stormwater wet ponds, and cities of Kissimmee and Dunnellon for retrofitting storm sewer to reduce waste loads.  The data have been used in various studies over different countries that went well beyond the initial research concept by impacting scientific research in flood treatment via stormwater infiltration ponds, canal treatment with pipe reactor and stormwater treatment with exfiltration and upflow media bed reactor. These studies were critical to the possible extended applications of spring field conservation and conjunctive treatment of stormwater, wastewater, and groundwater in Florida and elsewhere. These discoveries and insights triggered a brand-new spectrum of urban sustainability research with a great commercialization potential.

INDUSTRIAL ECOLOGY AND ECOLOGICAL ENGINEERING

Book

  1. Jorgensen, S. E., Change, N. B., and Xu, F. L. (Eds) Ecological Modelling and Engineering of Lakes and Wetlands, 730 pp, published by Elsevier in 2014 in the book series of Developments of Environmental Modelling. ISBN: 978-0-444-63249-4.

Book Chapters

  1. Megic, B. and Chang, N. B. (2010): Chapter 11 Use of a Wetland System for Groundwater Recharge in an Urban Wastewater Treatment Plan in Orlando, Florida. In: The Effects of Urbanization on Groundwater: An Engineering Case-based Approach for Sustainable Development, Ed. Chang, N. B. (ASCE), 277-307.
  2. Chang, N. B. and Xuan. Z. M., (2014): Chapter 1 Introduction, by Jorgensen, S. E. Change, N. B., and Xu, F. L. (Eds) (Elsevier). In Ecological Modelling and Engineering – Lakes and Wetlands, by Jorgensen, S. E. Change, N. B., and Xu, F. L. (Eds) (Elsevier).
  3. Chang, N. B., Wanielista, M. P., Xuan. Z. M., and Marimon, Z. (2014): Chapter 16 Floating Treatment Wetlands for Nutrient Removal in a Subtropical Stormwater Wet Detention Pond with a Fountain. In Ecological Modelling and Engineering of Lakes and Wetlands, by Jorgensen, S. E. Change, N. B., and Xu, F. L. (Eds) (Elsevier).
  4. Chang, N. B., Xuan, Z., and Marimon, Z. (2014): Chapter 17 System Dynamics Modeling for Nutrient Removal in a Stormwater Wet Pond. In Ecological Modelling and Engineering of Lakes and Wetlands, by Jorgensen, S. E. Change, N. B., and Xu, F. L. (Eds) (Elsevier).
  5. Chang, N. B., Wanielista, M. P., and Xuan. Z. M. (2014): Chapter 24 A Novel Subsurface Upflow Wetland with the Aid of Biosorption Activated Media for Nutrient Removal. In Ecological Modelling and Engineering of Lakes and Wetlands, by Jorgensen, S. E. Change, N. B., and Xu, F. L. (Eds) (Elsevier).
  6. Chang, N. B., Wanielista, M. P., and Xuan. Z. M., (2014): Chapter 25 Tracer-based System Dynamic Modeling for Designing a Subsurface Upflow Wetland for Nutrient Removal. In Ecological Modelling and Engineering of Lakes and Wetlands, by Jorgensen, S. E. Change, N. B., and Xu, F. L. (Eds) (Elsevier).

Journal Papers: Emergency Response Planning, Risk Assessment and Management of Risk

  1. Chang, N. B., Wei, Y. L., Tseng, C. C. and Kao, C. Y. (1997): The design of a GIS-based decision support system for chemical emergency preparedness and response in an urban environment. Computers, Environment and Urban System, 21(1), 67-94.
  2. Chang, N. B., Kao, C. Y., Wei, Y. L. and Tseng, C. C. (1998): Comparative study of 3-D numerical simulation and puff models for dense air pollutants. Journal of Environmental Engineering, ASCE, 125(2), 125-134.
  3. Chang, N. B. and Jang, C. (2000): Development and application of U.S. EPA’s models-3: an integrated “One-Atmosphere” third-generation air quality modeling system. Journal of Chinese Institute of Environmental Engineering, 10(1), 19-34.
  4. Weng, Y. C., Chang, N. B. and Lee, T. Y. (2008): Nonlinear time series analysis of ground-level ozone dynamics in Southern Taiwan. Journal of Environmental Management, 87(3), 405-414.
  5. Cheng, K. Y. and Chang, N. B. (2009): Assessing the impact of biogenic VOC emissions in a high ozone episode via integrated remote sensing and the CMAQ model. Frontiers of Earth Science, 3(2), 182-197.
  6. Tseng, C. C. and Chang, N. B. (2009): Environmental exposure assessment for emergency response in a nuclear power plant using an integrated source term and 3D numerical model. Environmental Modeling and Assessment, 14(6), 661-675.
  7. Chang, N. B. and Chang, D. Q. (2010): Long-term risk assessment of possible accidental release of nuclear power plants in complex terrains with respect to synoptic weather patterns. Frontiers of Earth Science, 4(2), 205-228.
  8. Chang, N. B. and Weng, Y. C. (2013): Short-term emergency response planning and risk assessment via an integrated modeling system for nuclear power plants in complex terrains. Frontiers of Earth Science, 7(1), 1-27.

Journal Papers: Environmental Management Systems

  • Optimal Production Planning and Pollution Prevention
  1. Wu, C. C. and Chang, N. B. (2007): Evaluation of environmentally benign production program in the textile dying industry (I): an input-output analysis. Civil Engineering and Environmental Systems, 24(4), 275-298.
  2. Wu, C. C. and Chang, N. B. (2008): Evaluation of environmentally benign production program in the textile dying industry (II): a multi-objective programming approach. Civil Engineering and Environmental Systems, 25(1), 299-322.
  • Green Production Planning and Uncertainty Analysis
  1. Wu, C. C. and Chang, N. B. (2003): Grey input-output analysis and its application for environmental cost allocation. European Journal of Operational Research, 145(1), 175-201.
  2. Wu, C. C. and Chang, N. B. (2004): Corporate optimal production planning with varying environmental costs: a grey compromise programming approach. European Journal of Operational Research, 155, 68-95.
  3. Wu, C. C. and Chang, N. B. (2003): Global strategy for optimizing multiproduct textile dyeing process via GA-based grey nonlinear integer programming. Computers and Chemical Engineering, 27(6), 833-854.
  • Optimal Planning for Energy Production and Consumption
  1. Ko, A. and Chang, N. B. (2008): Optimal planning of co-firing alternative fuels with coal in a power plant by grey nonlinear mixed integer programming model. Journal of Environmental Management, 88, 11-27.
  2. Chang, N. B., Rivera, B. and Wanielista, M. (2011): Optimal design for water conservation and energy savings using green roofs in a green building under mixed uncertainties. Journal of Cleaner Production, 19, 1180-1188.

Journal Papers: Water Sustainability, Ecosystem Modeling and Climate Change

  1. Qi, C. and Chang, N. B. (2011): System dynamics modeling for municipal water demand forecasting in a fast-growing region under uncertain economic impacts. Journal of Environmental Management, 92, 1628-1641.
  2. Jin, K. R., Chang, N. B., Ji, J. and Thomas, J. R. (2011): Hurricanes affect sediment and environments in Lake Okeechobee. Critical Reviews in Environmental Science and Technology, 41(S1), 382-394.
  3. Qi, C. and Chang, N. B. (2012): Integrated carbon footprint and cost evaluation in a drinking water infrastructure system for screening expansion alternatives. Journal of Cleaner Production, 27, 51-63.
  4. Chang, N. B., Qi, C. and Yang, J. (2012): Optimal expansion of a drinking water infrastructure system with respect to carbon footprint, cost effectiveness, and water demand. Journal of Environmental Management, 110, 194-206.
  5. 5. Chang, N. B. and Jin, K. R. (2012): Ecodynamic assessment of the submerged aquatic vegetation in Lake Okeechobee, Florida under natural and anthropogenic stress. International Journal of Design & Nature and Ecodynamics, 7(2), 140-154.
  6. Liu, S. and Chang, N. B. (2013): Geochemical impact of aquifer storage and recovery operation on fate and transport of sediment phosphorus in a large shallow lake. Environmental Earth Sciences, 68(1), 189-201.
  7. Xuan, Z. and Chang, N. B. (2014): Modeling the climate-induced changes of lake ecosystem structure under the cascade impacts of hurricanes and droughts, Ecological Modelling, 288, 79-93.
  8. Chang N. B. and Wen, D. (2017): Enhanced resilience and resistance assessment with virtual ecoexergy for a lake ecosystem under the intermittent impact of hurricanes and droughts,” Ecological Informatics, 39, 68-83.

Journal Papers: Life Cycle Assessment

  1. Pires, A., Chang, N. B. and Martinho, G. (2011): Reliability-based life cycle assessment for future solid waste management alternatives in Portugal. International Journal of Life Cycle Assessment, 16(4), 316-337.
  2. Thomas, N., Chang, N. B. and Qi, C. (2012): Preliminary assessment for global warming potential of leading contributory gases from a 40” LCD flat screen television. Internal Journal of Life Cycle Assessment, 17(1), 96-104.
  3. Ning, S. K., Chang, N. B., and Hong, M. C. (2013): Comparative streamlined life cycle assessment of two types of municipal solid waste incinerator. Journal of Cleaner Production, 53(15), 56-66. 

Journal Papers: Treatment and Low Impact Development

  1. Chang, N. B., Islam, K. and Wanielista, M. (2012): Floating wetland mesocosm assessment of nutrient removal to reduce ecotoxicity in stormwater International Journal of environmental Science and Technology, 9(3), 453–462.
  2. Chang, N. B., Qi, C., Islam, K. and Hossain, F. (2012): Comparisons between global warming potential and cost-benefit criteria for optimal planning of a municipal solid waste management system. Journal of Cleaner Production, 20(1), 1-13.

Journal Papers: Ecological Engineering for Stormwater

Environmental Science and Technology, 9(3), 453-462.

  1. Chang, N. B., Islam, K., Marimon, Z., Xuan, Z. M. and Wanielista, M. (2012): Assessing chemical and biological signatures of nutrient removal via the use of floating islands in stormwater mesocosms. Chemosphere, 88(6), 736-743.
  2. Xuan, Z. M., Chang, N. B., and Wanielista, M. (2013): System dynamics modeling of nitrogen removal in a stormwater infiltration basin with biosorption activated media. Journal of Environmental Quality, 42, 1086–1099.
  3. Chang, N. B., Xuan, Z., Marimon, Z., Islam, K., and Wanielista, M. P. (2013): Exploring hydrobiogeochemical processes of floating treatment wetlands in a subtropical stormwater wet pond. Ecological Engineering, 54, 66-76.
  4. Marimon, Z. A., Xuan, Z., and Chang, N. B. (2013): System dynamics modeling with sensitivity analysis for floating treatment wetlands in a stormwater wet pond. Ecological Modelling, 267, 66– 79.
  5. 6. Chang, N. B., Mohiuddin, G., Crawford, A. J., Bai, K. X., and Jin, K. R. (2015): Diagnosis of the AI-based predictions of flow regimes in a constructed wetland for stormwater pollution control. Ecological Informatics, 28, 42-60.
  6. Hartshorn, N., Marimon, Z., Xuan, Z., Cormier, J., Chang, N. B., and Wanielista, M. (2016): Complex interactions among nutrients, chlorophyll-a, and microcystins in three stormwater wet detention ponds with floating treatment wetlands, Chemosphere, 144, 408-419.
  7. Hartshorn, N., Merimon, Z., Xuan, Z. M., Chang, N. B., and Wanielista, M. (2016): Effect of floating treatment wetlands on the control of nutrients in three stormwater wet detention ponds. Journal of Hydrologic Engineering, ASCE, 21(8), 04016025.

Summary of major achievement in industrial ecology and ecological engineering

Major Accomplishment: This body of work explored short-term emergency response planning and risk assessment via an integrated multi-scale modeling system for chemical and energy industries in liquid, gas, and solid forms. Dr. Chang was the first scientist who developed a series of spatial decision support systems with information and communication technologies for emergency response planning and response of its kind. To confirm the sustainability of various alternatives of industrial products waste incineration, and drinking water production, streamlined life cycle assessment were assessed with scales given the carbon-regulated management framework.  To improve the essence of industrial ecology in the nexus of green and smart cities, Dr. Chang and his student performed a unique green optimal production planning for a textile dying industry under uncertainty in Taiwan. Later on, he extended the work to a green building design leading to optimally balance the energy and water consumption under uncertainty. Dr. Change was the first scientist exploring such type of system design issues under uncertainty in a green building. Besides, two types of floating treatment wetland technology for nutrient removal in different stormwater wet ponds were tested for the enhancement of stormwater management. Dr. Change was also the first scientist for the initiation of a series of field experiments in diverse types of pond structures and environments that address critical issues of implementing floating treatment wetland technology including the effectiveness of nutrient removal in different conditions, the chemical and biological signatures of nutrient removal, the cold weather impact, the need for replacement of plant species, the complex interactions among nutrients, chlorophyll-a and microcystins, as well as the comparisons between storm vs. non-storm events. Dr. Chang also conducted the assessment of the velocity field within a constructed wetland (i.e., the Stormwater Treatment Area in South Florida) in the Everglades, Florida. Diagnosis of the artificial intelligence-based predictions of flow regimes to visualize the general spatial and temporal distribution of flow magnitude and direction in such a constructed wetland for stormwater pollution control confirmed that the flow patterns are skewed to the southeast and the hydraulic retention time is not enough for phosphorus uptake.

Role: Dr. Chang conceived those research niches and led this series of research projects, developed science questions and hypotheses with the aid of some local utility engineers, and performed part of the data analysis.

Impact: Environmental exposure and risk assessment developed for emergency response planning deepened the understanding via the use multi-media chemical fate and transport modeling, remote sensing, and geographical information systems to aid in decision making. These emergency response planning for nuclear energy and chemical industries were critical to the validation of integrated sensing, monitoring, modeling for decision making. The approach to parameterization and modeling the strategies of monitoring and modeling for decision analysis has been adopted throughout the relevant industries and government agencies.  Besides, funded by US EPA, carbon-regulated flux analyses for water supply improve the sustainability of drinking water infrastructure expansion. It will be a key component of the green engineering approach used in the future in relevant industrial sectors.

WASTE MANAGEMENT STRATEGIES AND TECHNOLOGIES FOR MUNICIPAL AND INDUSTRIAL STREAMS

Books

  1. Chang, N. B. (1996): Solid Waste Management. Taipei, Taiwan. Published by Three Principles Bookstore, 300 pp. (in Chinese).
  2. Chang, N. B. (1998): Systems Engineering Design of Solid Waste Incinerators (I). Taipei, Taiwan. Published by Prosperity Bookstore, 500 pp. (in Chinese).
  3. Chang, N. B. (1998): Systems Engineering Design of Solid Waste Incinerators (II). Publisher: Prosperity Bookstore, Taipei, Taiwan, 650 pp. (in Chinese).
  4. Chang, N. B. and Pire, A. (2015): Sustainable Solid Waste Management: A Systems Engineering Approach. In IEEE Book Series on Systems Science and Engineering, Publisher: John Wiley/IEEE, New York, USA, 920 pp, ISBN: 978-1-118-45691-0.

 

Book Chapters

  1. Chang, N. B., Pires, A., and Martinho, G. (2013): Chapter 17: Impacts of Life Cycle Assessment on Solid Waste Management. In Encyclopedia of Environmental Management, Ed, Jorgensen, S. E. (Taylor & Frances Group) Volume IV – page 2399 – 2414.
  2. Chang, N. B., Pires, A., and Martinho, G. (2013): Chapter 29: Environmental Legislation for Solid Waste Management in EU Countries via the Use of Economic and Policy Instruments. In Encyclopedia of Environmental Management, Ed, Jorgensen, S. E. (Taylor & Frances Group) Volume II – page 892 – 913.

 

Journal Papers: Integrated Solid Waste Management Strategies

  • Overviews
  1. Pires, A., Martinho, G. and Chang, N. B. (2011): Solid waste management: in European countries: a review of systems analysis techniques. Journal of Environmental Management, 92, 1033-1050.
  2. Chang, N. B., Pires, A. and Martinho, G. (2011): Empowering systems analysis for solid waste management: challenges, trends and perspectives. Critical Reviews in Environmental Science and Technology, 41(16), 1449-1530.

      · System of Systems Engineering and Integrated Waste Management Strategies

  1. Chang, N. B., Schuler, R. E., and Shoemaker, C. A. (1993): Environmental and economic optimization of an integrated solid waste management system. Journal of Resource Management and Technology, 21(2), 87-98.
  2. Chang, N. B. and Lin, Y. T. (1997): Optimal siting of transfer station locations in a metropolitan solid waste management system. Journal of Environmental Science and Health, A32, (8), 2379-2401.
  3. Chang, N. B., Davila, E., Dyson, B. and Brown, R. (2005): Optimal site selection and capacity planning of a municipal solid waste material recovery facility in an urban setting. Waste Management, 25(8), 833-846.
  4. Chang, N. B. and Lin, Y. T. (1997): Economic evaluation of a regionalization program of solid waste management in a metropolitan region. Journal of Environmental Management, 51(3), 241-274.
  5. Chang, Y. H. and Chang, N. B. (1998): Optimization analysis for the development of short-term solid waste management strategies using presorting process prior to incinerator. Resources Conservation and Recycling, 24, 7-32.

      · Multicriteria Decision Analysis

  1. Chang, N. B. and Wang, S. F. (1996): Solid waste management system analysis by multi-objective mixed integer programming model. Journal of Environmental Management, 48, 17-43.
  2. Chang, N. B. and Chang, Y. H. (2001): Optimal shipping strategy of solid waste streams with respect to throughput and energy recovery goals of incineration facilities. Civil Engineering and Environmental Systems, 18, 193-214.

      · Comparative Risk Assessment and Waste Management

  1. Chang, N. B. and Wang, S. F. (1994): A locational model for the site selection of solid waste management facilities with traffic congestion constraints. Journal of Civil Engineering and Environmental Systems, 11, 287-306.
  2. Chang, N. B., Yong, Y. C., and Wang, S. F. (1996): Solid waste management system analysis with noise control and traffic congestion limitations. Journal of Environmental Engineering, ASCE, 122(2), 122-131.
  3. Chang, N. B., Shoemaker, C. A. and Schuler, R. E. (1996): Solid waste management system analysis with air pollution control and leachate impact limitations. Waste Management & Research, 14, 463-481.
  4. Chang, N. B. and Wang, S. F. (1996): Comparative risk analysis of solid waste management alternatives in a metropolitan region. Environmental Management, 20(1), 65-80.
  • Sustainability Analysis between Recycling and Incineration
  1. Chang, N. B. and Wang, S. F. (1997): Integrated analysis of recycling and incineration programs by goal programming techniques. Waste Management & Research, 15(2), 121-136.
  2. Chang, Y. H. and Chang, N. B. (2001): Regional shipping strategy assessment based on installing a refuse-derived-fuel process in a municipal incinerator. Waste Management & Research, 19, 504-517.
  3. Chang, Y. H. and Chang, N. B. (2003): Compatibility analysis of material and energy recovery in a regional solid waste management system. Journal of Air & Waste Management Association, 53, 32-40.
  4. Chen, J. C., Chang, N. B., Chen, W. H., Davila, E. and Tsai, C. H. (2005): Interactive analysis of waste recycling and energy recovery program in a small-scale incinerator. Journal of Air & Waste Management Association, 55, 1356-1366.

      · Uncertainty Analysis – Preference Elicitation

  1. Chang, N. B. and Wang, S. F. (1996): Managerial fuzzy optimal planning for solid waste management systems. Journal of Environmental Engineering, ASCE, 122(7), 649-658.
  2. Chang, N. B. and Wang, S. F. (1997): A fuzzy goal programming approach for the optimal planning of solid waste management systems. European Journal of Operational Research, 99(2), 287-303.
  3. Chang, N. B. and Lu, H. Y. (1997): A new approach for long term planning of solid waste management systems using fuzzy global criterion. Journal of Environmental Science and Health, A32(4), 1025-1047.
  4. Chang, N. B. and Wei, Y. L. (2000): Siting recycling drop-off stations in an urban area by genetic algorithm-based fuzzy multi-objective nonlinear programming modeling. Fuzzy Sets and Systems, 114(1), 133-149.
  5. Pires, A., Chang, N. B. and Martinho, G. (2011): An AHP-based fuzzy interval TOPSIS assessment for sustainable expansion of the solid waste management system in Satubal Peninsula, Portugal. Resources Conservation and Recycling, 56, 7-21.
  • Uncertainty Analysis – Minimax Regret
  1. Chang, N. B. and Davila, E. (2007): Minimax regret optimization analysis for a regional solid waste management system. Waste Management, 27(6), 820-832.
  • Uncertainty Analysis – Interval Programming
  1. Davila, E. and Chang, N. B. (2005): Sustainable pattern analysis of publicly-owned material recovery facility under uncertainty. Journal of Environmental Management, 75(4), 337-352.
  2. Chang, N. B., Chen, Y. L. and Wang, S. F. (1997): A fuzzy interval multi-objective mixed integer programming approach for the optimal planning of metropolitan solid waste management system. Fuzzy Sets and Systems, 89(1), 35-60.

Journal Papers: Landfill Management

  1. Chang, N. B. and Schuler, R. E. (1991): Optimal pricing of the sanitary landfill use over time. Journal of Resource Management and Technology, 19(1), 14-24.
  2. Davila, E., Chang N. B. and Diwakaluni, S. (2005): Dynamic landfill space consumption assessment in the Lower Rio Grande Valley, South Texas by GIP-based game theory. Journal of Environmental Management, 75(4), 353-366.
  3. Chang, N. B., Parvathinathan, G. and Breeden, J. B. (2008): Combining GIS with fuzzy multiple attribute decision making for landfill siting in a fast-growing urban region. Journal of Environmental Management, 87, 139-153.

Journal Papers: Waste Generation and Characterization

  • Forecasting Analysis of Waste Generation
  1. Chang, N. B., Pan, Y. C. and Huang, S. D. (1993): Time series forecasting of solid waste generation. Journal of Resource Management and Technology, 21(1), 1-10.
  2. Chang, N. B. and Lin, Y. T. (1997): An analysis of recycling impacts on solid waste generation by time series intervention modeling. Resources, Conservation and Recycling, 19(3), 165-186.
  3. Chen, H. W. and Chang, B (2000): Prediction of solid waste generation via grey fuzzy dynamic modeling. Resources Conservation and Recycling, 29, 1-18.
  4. Dyson, B. and Chang, N. B. (2005): Forecasting municipal solid waste generation in a fast-growing urban region with system dynamics modeling. Waste Management, 25(7), 669-679.
  • Waste Characterization
    1. Chang, N. B. and Davila, E. (2008): Municipal solid waste characterization and management strategy for the Lower Rio Grande Valley, T Waste Management, 28, 776-794.

Journal Papers: Cost and Benefit Analysis

  1. Chang, N. B., Mount, T. D. and Schuler, R. E. (1993): Econometric analysis of the construction and operating costs of solid waste incinerators. Environmental Modeling and Software, 8, 173-186.
  2. Chang, N. B. and Wang, S. F. (1995): The development of material recovery facilities in the United States: status and cost structure analysis. Resources Conservation and Recycling, 13(2), 115-128.
  3. Chang, N. B., Chen, Y. L. and Yong, H. H. (1996): A fuzzy goal regression model for the construction cost estimation of municipal waste incinerators. International Journal of Systems Science, 27(5), 433-445.
  4. Chang, B and Chen, Y. L. (1997): Construction cost analysis for landfill gas recovery system in the U.S. via fuzzy regression technique. Journal of the Chinese Fuzzy Systems Association, 3(1), 23-48.

Journal Papers: Risk Assessment

  1. Chang, N. B. and Huang, S. H. (1996): A chemometric approach for the verification of dioxin/furan formation mechanism in municipal incinerators. Chemosphere, 32(1), 209-216.
  2. Chang, N. B. and Huang, S. H. (1995): Statistical modeling for the prediction and control of PCDDs and PCDFs emissions from municipal solid waste incinerators. Waste Management and Research, 13, 379-400.
  3. Chang, N. B. and Chen, W. C. (2000): Prediction of PCDDs/PCDFs emissions from municipal incinerators by genetic programming and neural network modeling. Waste Management & Research, 18, 341-351.

Journal Papers: Vehicle Routing and Scheduling for Collection of Waste Streams

  1. Chang, N. B., Lu, H. Y. and Wei, Y. L. (1997): GIS technology for vehicle routing and scheduling in solid waste collection systems. Journal of Environmental Engineering, ASCE, 123(9), 901-910.
  2. Chang, N. B., Chang, Y. H. and Chen, Y. L. (1997): Cost-effective and workload balancing operation in solid waste management systems. Journal of Environmental Engineering, ASCE, 123(2), 178-190.
  3. Chang, N. B. and Wei, Y. L. (1999): Strategic planning of recycling drop-off stations by multi-objective programming. Environmental Management, 24(2), 247-264.
  4. Chang, N. B. and Wei, Y. L. (2002): Comparative study between heuristic algorithm and optimization technique for vehicle routing and scheduling in the solid waste management system. Civil Engineering and Environmental Systems, 19(1), 41-65.
  5. Chang, N. B. and Davila, E. (2006): Siting and routing assessment for solid waste management under uncertainty using grey minimax regret criteria. Environmental Management, 38, 654-672.

Journal Papers: Information Technologies

  1. Chang, N. B., Lin, Y. T. and Chang, Y. H. (1998): A client-server computer framework for solid waste management decision analysis in Taiwan. Journal of Hazardous Materials, 58, 15-31.
  2. Chang, Y. C., Chang, N. B. and Ma, G. D. (2001): Internet web-based information system for handling scrap vehicles disposal in Taiwan. Environmental Modeling and Assessment, 6(4), 237-248.
  3. Lu, G. W., Chang, N. B. and Liao, L. (2013): Environmental informatics for solid and hazardous waste management: advances, challenges, and perspectives. Critical Reviews in Environmental Science and Technology, 43, 1557–1656.
  4. Lu, G. W., Chang, N. B., Liao, L., and Liao, M. Y. (2015): Smart and green urban waste collection systems: advances, challenges, and perspectives, IEEE Systems Journal, 99, 1-14.

Journal Papers: Waste Treatment, Recycling and Reuse Technologies

  • Refuse-derived Fuel
  1. Chang, N. B., Chang, Y. H. and Chen, W. C. (1997): Evaluation of heat values and its prediction for refuse-derived fuel. Science of the Total Environment, 197, 139-148.
  2. Chang, N. B., Chang, Y. H. and Chen, W. C. (1998): Systematic evaluation and uncertainty analysis of refuse-derived fuel process in Taiwan. Journal of Air & Waste Management Association, 48, 537-544.
  3. Lin, K. S., Wang, H. Paul, Chang, N. B., Huang, Y. J. and Liu, S. H. (1999): Pyrolysis kinetics of refuse-derived fuel. Fuel Processing Technology, 60, 103-110.
  4. Chang, N. B., Chen, W. C. and Chang, Y. H. (1999): Comparative evaluation of RDF and MSW incineration. Journal of Hazardous Materials, 58, 33-45.
  • Incineration Ash
  1. Chang, N. B., Wang, H. P., Huang, W. L. and Lin, K. S. (1999): The assessment of reuse potential for MSW and RDF incineration ashes. Resources, Conservation, & Recycling, 25(3-4), 255-270.
  2. Lin, K. S., Chang, N. B. and Wang, H. P. (2002): Development and applications of plasma melting technology for solid waste treatment. Environmental Protection Monthly, 15(9), 107-123.
  • Construction and Demolition Waste Streams
  1. Chang, N. B., Lin, K. S., Sun, Y. P. and Wang, H. P. (2001): Oxidation kinetics of combustible construction and demolition waste. Journal of Environmental Quality, 30, 1392-1401.
  2. Chang, N. B., Lin, K. S., Sun, Y. P. and Wang, H. P. (2001): An engineering assessment of the burning of the combustible fraction of construction and demolition waste in a redundant brick kiln. Environmental Technology, 22, 1405-1418.
  3. Huang, W. L., Lin, D. H., Chang, N. B., and Lin, K. S. (2002): Recycling of construction and demolition waste via a mechanical sorting process. Resources Conservation and Recycling, 37(1), 23-37.
  • Biowaste Reuse
    1. Lin, K. S., Wang, H. P., Chang, N. B., Jou, C. J. G. and Hsiao, M. C. (2003): Synthesis of ZSM-type Zeolites from ashes of biowastes. Energy Sources, 25(6), 565-576.
  • Controller Design to Promote Waste Heat Recovery
  1. Chang, N. B and Chen, W. C. (2000): Fuzzy controller design for municipal incinerators with the aid of genetic algorithms and genetic programming Techniques. Waste Management & Research, 18(5), 429-443.
  2. Chang, N. B, Chen, W. C. and Chen, J. C. (2002): GA-based neural-fuzzy controller design for municipal incinerators. Fuzzy Sets and Systems, 129(3), 343-369.
  3. Chen, J. C., Chen, W. H. and Chang, N. B. (2008): Diagnosis analysis of a small-scale incinerator by neural networks model. Civil Engineering and Environmental Systems, 25(3), 201-213.
  • Petrochemical Waste Treatment
  1. Lin, K. S. and Chang, N. B. (2008): Control of PCDDs/PCDFs in a fluidized bed incinerator via activated carbon injection in petrochemical industry. Petroleum Science and Technology, 26(7/8), 764-789.
  • Soil and Groundwater Remediation
  1. Yen, H. K., Chang, N. B. and Lin, T. F. (2003): Bioslurping model to assess the light hydrocarbon recovery in a contaminated unconfined aquifer (I): simulation analysis. Journal of Hazardous, Toxic, and Radioactive Waste Management, ASCE, 7(2), 114-130.
  2. Yen, H. K. and Chang, N. B. (2003): Bioslurping model to assess the light hydrocarbon recovery in a contaminated unconfined aquifer (II): optimization analysis. Journal of Hazardous, Toxic, and Radioactive Waste Management, ASCE, 7(2), 131-138.

Journal Papers: Decision Support Systems

  1. Chang, N. B. and Wang, S. F. (1996): The development of an environmental decision support system for municipal solid waste management. Computers, Environment and Urban System, 20(3), 201-212.

Journal Papers: Policy Analysis

  1. Chang, N. B. (2008): Economic and policy instrument analyses in support of the scrap tires recycling program in Taiwan. Journal of Environmental Management, 86, 435-450.
  2. Chang, N. B., Chang, Y. H. and Chen, H. W. (2009): Fair fund distribution for a municipal incinerator using a GIS-based fuzzy analytic hierarchy process. Journal of Environmental Management, 90, 441-454.
  3. Chen, H. W., Chen, J. C. and Chang, N. B. (2010): Environmental performance evaluation of large-scale municipal incinerators using Data Envelopment Analysis (DEA). Waste Management, 30, 1371–1381.

Summary of major achievement in waste management research in the nexus of water, energy, and waste research

This body of research relates urban waste management to transportation systems analysis, recycling impact with respect to household recycling programs and/or centralized material recovery facilities, financial factors in decision making, and environmental constraints via a myriad of forecasting, simulation, optimization, and control analysis. Emphasis has been placed on the linkages of models of engineered waste management systems to significant policy and economic/econometric analyses under uncertainty and risk. The spectrum of the investigations covers all stages of waste management from planning, to design, to operation and to final disposal with rich social contexts. In particular, this series of work addresses environmental, economic, management, and sustainability challenges posed by a series of transitions under global change impacts seeking to generate alternatives from various decentralized versus centralized systems frameworks in the United States and elsewhere. Issues and concerns may include but are not limited to the integrated waste management options in relation to various sizes and types of intermediate waste management infrastructures and shipping patterns in the networks to reduce reliance on landfill space for final disposal. Extended research areas include mitigation of environmental effects of waste management, optimal distribution of raw waste streams, environmental and social impacts, energy recovery through incineration, material recycling, life cycle impact, carbon regulated shipping patterns, and reuse of recycled materials with system thinking. The sustainability metrics includes the wide range anticipated social, economic, environmental and health impacts across multiple media in various geographic contexts. Dr. Chang was the first scientist who systematically explored almost all aspects of waste management alternatives from the systems perspective and generated a variety of managerial strategies to promote urban sustainability in the world.

Role: Dr. Chang conducted this series of research, developed science questions and hypotheses, led the development of the modeling analysis, cooperatively designed and carried out part of the policy analysis with foreign scholars, and performed the data analysis.

Impact: This body of work has contributed greatly to the foundations of urban waste management systems, leading to deepen the fundamental understanding of the complexity of centralized versus decentralized management alternatives. It has resulted in new knowledge from the systems analysis in waste management and urban sustainability.  The breadth and depth of Dr. Chang’s waste management studies in relation to social, economic, environmental and health impacts demonstrated the niches of using system engineering approach. Further, as a result of this advancement, new discoveries and insights involving the use of “System of Systems Engineering” approach had generated some profound impact on the development and expanded applications in relevant fields. The culmination of this body of work led to the generation of a book with over 900 pages titled “Sustainable Solid Waste Management: A Systems Engineering Approach” to be published by IEEE Book Series on Systems Science and Engineering, through John Wiley/IEEE. This was the first book of its kind in the world to thoroughly explore the waste management issues with strong urban sustainability implications. Graduate students working with many universities around the world, such as Huazhong University of Science & Technology in China, National Central University, Taiwan, University of Regina, Canada, and Universidade Nova de Lisboa, Portugal, had adopted many waste management methods developed by Dr. Chang.

Dr. Ni-Bin Chang Textbooks/Reference books

Multisensor Data Fusion and Machine Learning for Environmental Remote Sensing

1. Multisensor Data Fusion and Machine Learning for Environmental Remote Sensing
by Ni-Bin Chang and Kaixu Bai

ISBN 9781498774338
Page: 508
Publication date: March 2018
Publisher: CRC Press

2. Proceedings of SPIE Remote Sensing and Modeling for Ecosystem of Sustainability
by Wei Gao (Editor)
Ni-Bin Chang (Editor)

ISBN: 9781628417760
Page: 520
Publication date: Dec., 2015
Publisher: SPIE

3. Sustainable Solid Waste Management: A Systems Engineering Approach.
by Ni-Bin Chang and Ana Pires

ISBN: 978-1-118-45691-0
Page: 820
Publication Date: Feb., 2015
Publisher: John Wiley/IEEE (IEEE Book Series on Systems Science and Engineering), New York,

4. Proceedings of SPIE Remote Sensing and Modeling for Ecosystem of Sustainability
by Wei Gao (Editor)
Ni-Bin Chang (Editor)
Jinnian Wang (Editor)

ISBN: 9781628412482
Page: 280
Publication date: Nov. 1, 2014
Publisher: SPIE

5. Ecological Modelling and Engineering of Lakes and Wetlands, Volume 26 (Developments in Environmental Modelling) 
by Sven Erik Jørgensen (Editor)
Ni-Bin Chang (Editor)
Fu-Liu Xu (Editor)

ISBN-13: 978-0444632494
Page: 720
Publication date: May 1 2014
Publisher: Elsevier

6. Multiscale Hydrologic Remote Sensing: Perspectives and Applications 
by Ni-Bin Chang (Editor)
Yang Hong (Editor)

ISBN-13: 978-1439877456
Page: 568
Publication date: March 2012
Publisher: CRC Press

7. Environmental Remote Sensing and Systems Analysis 
by Ni-Bin Chang (Editor)

ISBN-13: 978-1439877432
Page: 520
Publication date: March 2012
Publisher: CRC Press

8. Systems Analysis for Sustainable Engineering 
by Ni-Bin Chang (Author)

ISBN-13: 978-0071630054
Page: 704
Publication date: Jan. 2011
Publisher: McGraw Hill

9. Effects of Urbanization on Groundwater: An Engineering Case-Based Approach for Sustainable Development
by Ni-Bin Chang (Editor)

Page: 410
Publication date: Jan. 2010
Publisher: American Society of Civil Engineers

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