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E-grāmata: Ecological Modelling and Engineering of Lakes and Wetlands

Volume editor (Emeritus Professor, Copenhagen University, Denmark), Volume editor (Peking University, China), Volume editor (University of Central Florida, USA)
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Ecological modelling has developed rapidly in recent decades, with the focus primarily on the restoration of lakes and wetlands. Ecological Modelling and Engineering in Lakes and Wetlands presents the progress being made in modelling for a wealth of applications. It covers the older biogeochemical models still in use today, structurally dynamic models, 3D models, biophysical models, entire watershed models, and ecotoxicological models, as well as the expansion of modeling to the Arctic and Antarctic climate-zones.

The book also addresses modelling the effect of climate change, including the development of ecological models for addressing storm water pond issues, which are increasingly important in urban regions where more concentrated rainfalls are a consequence of climate change. The ecological engineering topics covered in the book also emphasize the advancements being made in applying ecological engineering regimes for better environmental management of lakes and wetlands.

  • Examines recent progress towards a better understanding of these two important ecosystems
  • Presents new results and approaches that can be used to develop better models
  • Discusses how to increase the synergistic effect between ecosystems engineering and modelling

Papildus informācija

Presents the progress in modelling and ecological engineering of two very important aquatic ecosystems
Contributors xix
Chapter 1 Introduction
1(8)
Sven Erik Jørgensen
Ni-Bin Chang
Fu-Liu Xu
1.1 Models of Lakes and Wetlands
1(3)
1.2 Ecological Engineering Applied to Lakes and Wetlands
4(5)
References
7(2)
Chapter 2 Structurally Dynamic Models of Lakes
9(26)
Sven Erik Jørgensen
2.1 Introduction
9(1)
2.2 How to Construct Structurally Dynamic Models and Definitions of Eco-Exergy
10(6)
2.3 Biomanipulation
16(7)
2.4 Development of a SDM to Describe the Competition Between Phytoplankton and Submerged Vegetation
23(4)
2.5 SDM Developed for Lake Fure
27(4)
2.6 Summary and Conclusions
31(4)
References
33(2)
Chapter 3 Development of Level-IV Fugacity-Based QWASI Model for Dynamic Multimedia Fate and Transport Processes of HCHs in Lake Chaohu, China
35(40)
Xiang-Zhen Kong
Fu-Liu Xu
Wei He
Ning Qin
3.1 Introduction
35(3)
3.1.1 Hexachlorocyclohexanes and the Isomers
35(1)
3.1.2 HCHs Usage and Residue Level in the Study Site
36(1)
3.1.3 Level-IV Fugacity-Based QWASI Model
36(2)
3.2 Development of Level IV Fugacity-Based QWASI Model
38(13)
3.2.1 Model Framework
38(3)
3.2.2 Model Simulation and Validation
41(1)
3.2.3 Parameter Determination
41(8)
3.2.4 Sensitivity Analysis
49(1)
3.2.5 Uncertainty Analysis
50(1)
3.3 Results and Discussion
51(17)
3.3.1 Simulation of Seasonal Variations
51(5)
3.3.2 Transfer Fluxes
56(5)
3.3.3 Sensitivity Analysis of the Model Parameters
61(3)
3.3.4 Uncertainty Analysis of the Model Simulation
64(4)
3.4 Conclusion
68(7)
References
69(6)
Chapter 4 Eco-Risk Assessments for Toxic Contaminants Based on Species Sensitivity Distribution Models in Lake Chaohu, China
75(38)
Fu-Liu Xu
Xiang-Zhen Kong
Ning Qin
Wei He
Wen-Xiu Liu
4.1 Introduction
75(3)
4.1.1 Ecological Risk Assessments
75(1)
4.1.2 Organochlorine Pesticides
76(1)
4.1.3 Polycyclic Aromatic Hydrocarbons
76(1)
4.1.4 The Study Site of Lake Chaohu
77(1)
4.2 Materials and Methods
78(12)
4.2.1 Measurements of OCPs and PAHs
78(2)
4.2.2 Ecological Risk Assessments by SSD and PRA
80(10)
4.3 Eco-Risk Assessments for OCPs in Lake Chaohu
90(7)
4.3.1 The Residues of OCPs in the Water
90(2)
4.3.2 The Spatial and Temporal Distribution of OCPs in the Water
92(2)
4.3.3 Eco-Risk Assessments for OCPs
94(3)
4.4 Eco-Risk Assessments for PAHs in Lake Chaohu
97(16)
4.4.1 The Residues of PAHs in the Water
97(3)
4.4.2 Site-Specific Ecological Risk of PAHs Based on the SSD Method
100(1)
4.4.3 Probability of Ecological Risk of PAHs Based on the PRA Method
101(4)
4.4.4 Uncertainty Analysis
105(1)
4.4.5 Discussion
106(1)
References
107(6)
Chapter 5 Addressing the Uncertainty in Modeling Watershed Nonpoint Source Pollution
113(48)
Yi Zheng
Feng Han
Yong Tian
Bin Wu
Zhongrong Lin
5.1 Introduction to the Issue
113(8)
5.1.1 Current Status of Nonpoint Source Pollution
113(1)
5.1.2 Management Efforts
114(2)
5.1.3 Existing Models
116(3)
5.1.4 Modeling for Decision Support
119(2)
5.2 Uncertainty in Modeling NPS Pollution: State of the Art
121(10)
5.2.1 A Framework for Analysis
121(2)
5.2.2 Parameter Uncertainty
123(3)
5.2.3 Input Uncertainty
126(1)
5.2.4 Observational Uncertainty
127(2)
5.2.5 Model Structure Uncertainty
129(1)
5.2.6 Uncertainty About the Future
130(1)
5.3 Uncertainty Analysis for Complex NPS Pollution Models
131(18)
5.3.1 MCMC Approaches
132(6)
5.3.2 Informal Bayesian Approaches
138(4)
5.3.3 Probabilistic Collocation Method (PCM)
142(7)
5.4 Improving Data and Model Structure: Future Directions
149(12)
5.4.1 Strategic Data Collection
149(2)
5.4.2 Process Understanding and Representation
151(1)
References
152(9)
Chapter 6 Extending the Application of Network Analysis to Ecological Risk Assessment for Aquatic Ecosystems
161(24)
Shaoqing Chen
Bin Chen
6.1 Introduction
161(2)
6.2 General Framework of Applying Network Analysis to ERA
163(1)
6.3 INA for ERA: Methodology and Rationale
164(5)
6.3.1 Food Web Investigation
164(1)
6.3.2 Network CA
165(1)
6.3.3 A Conversion of Flow Currency
166(1)
6.3.4 Development of Risk Flow
167(2)
6.4 A Case Study of the Application of INA: ERA of a River Ecosystem Intercepted by Damming
169(5)
6.5 Network Indicators for Risk Management
174(2)
6.6 Identifying Uncertainty in Network Analysis
176(1)
6.7 A System-Based ERA Framework for Aquatic Ecosystems
177(2)
6.8 Conclusion
179(6)
References
179(6)
Chapter 7 Modeling the Purification Effects of the Constructed Sphagnum Wetland on Phosphorus and Heavy Metals in Dajiuhu Wetland Reserve, China
185(24)
Wei He
Fu-Liu Xu
Yanyan Zhang
Rong Tian
Hongxing Hu
7.1 Introduction
185(1)
7.2 Material and Methods
186(6)
7.2.1 General Situation of the Study Area
186(1)
7.2.2 Simulation Device
187(1)
7.2.3 Simulation Experimental Method
188(1)
7.2.4 Storage and Processing Method for the Sphagnum and the Peat
189(1)
7.2.5 Chemical Analysis of the Sampling Water
190(1)
7.2.6 Purification Capacity and Purification Rate
190(1)
7.2.7 Kinetic Model
190(2)
7.3 Results and Discussion
192(12)
7.3.1 Background Values
192(1)
7.3.2 Purification of the SW to TP
193(1)
7.3.3 Purification of SW to Divalent Metal Ions
193(2)
7.3.4 Purification Ability of the SW to Various Contaminants
195(1)
7.3.5 The Best Kinetic Model Selection for Purification Effects of Constructed SW
196(3)
7.3.6 Modeling the Purification Effects of the Constructed SW
199(4)
7.3.7 Importance of the SW, its Purification Mechanism, and Further Study
203(1)
7.4 Conclusions
204(5)
Acknowledgments
204(1)
References
204(5)
Chapter 8 Ecological Accounting for a Constructed Wetland
209(22)
Ling Shao
Z.M. Chen
G.Q. Chen
8.1 Introduction
209(2)
8.2 Methodology
211(3)
8.2.1 Accounting Framework
211(1)
8.2.2 Inventory
212(1)
8.2.3 Embodied Ecological Endowment Intensity Database
212(2)
8.3 Case Study
214(10)
8.3.1 Case Description, Inventory, and Database
215(1)
8.3.2 Embodied GHG Emissions
215(3)
8.3.3 Embodied Solar Energy
218(4)
8.3.4 Embodied Cosmic Exergy
222(2)
8.4 Conclusion
224(7)
References
226(5)
Chapter 9 Modeling the Response of the Planktonic Microbial Community to Warming Effects in Maritime Antarctic Lakes: Ecological Implications
231(20)
Antonio Camacho
Juan Antonio Villaescusa
Carlos Rochera
Sven Erik Jørgensen
9.1 Introduction
231(2)
9.2 Study Area: Byers Peninsula, an Antarctic Special Protected Area
233(3)
9.3 Ecological Features: Lake Limnopolar and its Catchment
236(4)
9.4 Modeling of Lake Limnopolar
240(5)
9.5 Conclusions
245(6)
References
247(4)
Chapter 10 Analytical Modeling for Environmental Dispersion in Wetland
251(24)
Zi Wu
L. Zeng
G.Q. Chen
10.1 Introduction
251(5)
10.1.1 Methodology
251(2)
10.1.2 Analytical Approaches
253(1)
10.1.3 Progresses in the Analytical Modeling of Environmental Dispersion
254(2)
10.2 Formulation
256(10)
10.2.1 Momentum and Concentration Transport
257(1)
10.2.2 Analytical Approaches for Environmental Dispersion in Wetland Flows
257(9)
10.3 Environmental Dispersion for Depth-Dominated Wetland Flows
266(5)
10.3.1 Steady Flow Wetlands
266(1)
10.3.2 Tidal Flow Wetlands
266(1)
10.3.3 Two-Layer Flow Wetlands
267(1)
10.3.4 Ecological Degradation, Duration, and Influenced Region
268(3)
10.4 Conclusions
271(4)
References
272(3)
Chapter 11 Trade-Offs Between Biodiversity Conservation and Nutrients Removal in Wetlands of Arid Intensive Agricultural Basins: The Mar Menor Case, Spain
275(36)
Julia Martinez-Fernandez
Miguel-Angel Esteve-Selma
Jose-Miguel Martinez-Paz
Maria-Francisca Carreno
Javier Martinez-Lopez
Francisco Robledano
Pablo Farinos
11.1 Introduction
275(3)
11.2 Dynamic Modeling of the Mar Menor Watershed
278(6)
11.2.1 Model Description
278(3)
11.2.2 Simulation Results
281(3)
11.3 Effects of Hydrological Changes on the Mar Menor Lagoon: Jellyfish Outbreaks
284(1)
11.4 Assessment of Ecosystem Services: Nutrient Removal
285(5)
11.4.1 Role of Wetlands and Effects of Measures to Reduce Nutrient Inputs into the Lagoon
285(1)
11.4.2 Cost-Effectiveness Analysis
286(3)
11.4.3 Economic Valuation of the Ecosystem Service of Nutrients Removal of Mar Menor Wetlands
289(1)
11.5 Assessment of Ecosystem Services: Biodiversity Conservation
290(12)
11.5.1 Changes in Aquatic Bird Populations in Relation to Nutrient Inputs and Related Trophic Variables: Indicator Species and Guilds
290(7)
11.5.2 Effects of Hydrological Changes on Habitats and Vegetation Dynamics
297(5)
11.6 Trade-Offs Between Ecosystem Services of Wetlands
302(3)
11.7 Concluding Remarks
305(6)
References
306(5)
Chapter 12 Structurally Dynamic Model and Ecological Indicators to detect the crayfish invasion in a lake ecosystem
311(26)
Michela Marchi
Sven Erik Jørgensen
Federico Maria Pulselli
Simone Bastianoni
12.1 Introduction
311(2)
12.2 The Case Study of Lake Chozas (Spain) to Describe the Response to Biological Invasion
313(8)
12.2.1 The Structurally Dynamic Model of Lake Chozas
316(4)
12.2.2 Re-organization of Chozas Lake in Response to Biological Invasion
320(1)
12.3 Joint Application of Ecological Indicators to Assess the Health Status of Two Spanish Lakes
321(9)
12.3.1 Ecological Indicators
321(2)
12.3.2 Application of Ecological Indicators to Lakes Sentiz and Chozas
323(7)
12.4 Conclusion
330(7)
References
332(5)
Chapter 13 Development of Ecological Models for the Effects of Macrophyte Restoration on the Ecosystem Health of a Large Eutrophic Chinese Lake (Lake Chaohu)
337(38)
Fu-Liu Xu
Sven Erik Jørgensen
Xiang-Zhen Kong
Wei He
Ning Qin
13.1 Introduction
337(3)
13.2 Methods
340(19)
13.2.1 Procedures for Ecosystem Health Assessment Based on Ecological Model
340(1)
13.2.2 Development of Ecological Model for Ecosystem Health Assessment
340(17)
13.2.3 Ecosystem Health Indicators Used in the Ecological Models
357(2)
13.3 Results
359(6)
13.3.1 Model 1 Calibration and Present Health State of Lake Chaohu Ecosystem
359(5)
13.3.2 Effects of Macrophytes on Lake Ecosystem Health
364(1)
13.4 Discussion
365(3)
13.5 Conclusions
368(7)
Acknowledgments
369(1)
References
369(6)
Chapter 14 Development of Structural Dynamic Model for the Ecosystem Evolution of a Large Shallow Chinese Lake (Lake Chaohu)
375(36)
Xiang-Zhen Kong
Sven Erik Jørgensen
Fu-Liu Xu
Wei He
Ning Qin
Qing-Mei Wang
Wen-Xiu Liu
14.1 Introduction
375(3)
14.1.1 Alternative States of Shallow Lakes
375(1)
14.1.2 Lake Chaohu as a Eutrophicated Shallow Lake
376(1)
14.1.3 Modeling Approaches for Restoration of Lake Chaohu
377(1)
14.2 Model Development
378(13)
14.2.1 Model Framework
378(8)
14.2.2 Parameter Determination
386(1)
14.2.3 Seasonal Simulation and Validation
386(5)
14.3 Restoration Methods and the Possible Effects
391(8)
14.3.1 Potential Restoration Methods
391(2)
14.3.2 Possible Effects of Various Restoration Methods
393(6)
14.4 Structural Dynamic Approaches
399(12)
14.4.1 Structural Dynamic Approaches on the Lake Shift
399(1)
14.4.2 SDMs Results and Discussion
400(6)
14.4.3 Conclusion
406(1)
References
407(4)
Chapter 15 Exploring the Mechanism of Catastrophic Regime Shift in a Shallow Plateau Lake: A Three-Dimensional Water Quality Modeling Approach
411(26)
Rui Zou
Yuzhao Li
Lei Zhao
Yong Liu
15.1 Introduction
411(2)
15.2 Materials and Methodology
413(15)
15.2.1 Study Area: Lake Yilong
413(1)
15.2.2 Modeling Framework
414(10)
15.2.3 Model Development for Lake Yilong
424(4)
15.3 Results and Discussions
428(4)
15.3.1 Hydrodynamic Simulation and Calibration
428(1)
15.3.2 Water Quality Simulation and Calibration
428(2)
15.3.3 Simulation of the Catastrophic Regime Shift in Lake Yilong
430(2)
15.4 Conclusions
432(5)
Acknowledgments
432(1)
References
432(5)
Chapter 16 Floating Treatment Wetlands for Nutrient Removal in a Subtropical Stormwater Wet Detention Pond with a Fountain
437(32)
Ni-Bin Chang
Martin P. Wanielista
Zhemin Xuan
Zachary A. Marimon
16.1 Overview of Stormwater Flow and Quality Impact
437(2)
16.2 Stormwater Treatment Capacity
439(4)
16.3 Field Pond Study
443(7)
16.3.1 Study Site
443(1)
16.3.2 Materials and Methods
443(7)
16.4 Results and Discussion
450(11)
16.4.1 Temporal and Spatial Nutrients Distributions
450(6)
16.4.2 Operating HRT and REs
456(3)
16.4.3 Hydrological Processes
459(2)
16.5 BMP Credit Assessment
461(2)
16.6 Conclusions
463(6)
Acknowledgments
464(1)
References
464(5)
Chapter 17 System Dynamics Modeling for Nitrogen Removal in a Subtropical Stormwater Wet Pond
469(32)
Ni-Bin Chang
Zachary A. Marimon
Zhemin Xuan
Benjamin Vannah
Jamie Jones
17.1 Introduction
469(1)
17.2 Limitations of Traditional Stormwater Ponds
470(3)
17.3 Floating Treatment Wetland Technologies
473(1)
17.4 Field Campaign for Investigating the Copper Impact
474(4)
17.5 Collection of Nutrient Data
478(3)
17.6 Investigation of Aquatic Nitrogen Cycling
481(2)
17.7 System Dynamics Modeling
483(2)
17.8 Results and Discussion
485(6)
17.8.1 Model Calibration and Validation
485(5)
17.8.2 Sensitivity Analysis for Addressing Copper-Related Ecotoxicity
490(1)
17.9 Conclusions
491(10)
Appendix A Stock Symbols Used in the STELLA Model
492(1)
Appendix B Flow Symbols Used in the STELLA Model
493(2)
Appendix C Converter Symbols Used in the STELLA Model
495(1)
References
496(5)
Chapter 18 Modeling Management Options for Controlling the Invasive Zebra Mussel in a Mediterranean Reservoir
501(18)
Carles Alcaraz
Nuno Caiola
Carles Ibanez
Enrique Reyes
18.1 Introduction
501(2)
18.2 Methods
503(4)
18.2.1 Study Area
503(1)
18.2.2 Model Description
503(2)
18.2.3 Zebra Mussel Mortality Rates and System Carrying Capacity
505(1)
18.2.4 Model Formulation and Calibration
506(1)
18.3 Scenario Analyses
507(1)
18.4 Results and Discussion
507(6)
18.4.1 Population Dynamics and Model Calibration
507(1)
18.4.2 Total Phosphorus Effect
508(2)
18.4.3 Scenario with Increased Mortality
510(3)
18.5 Final Remarks
513(6)
Acknowledgments
514(1)
References
514(5)
Chapter 19 SubWet 2.0. Modeling the Performance of Treatment Wetlands
519(20)
Annie Chouinard
Gordon C. Balch
Brent C. Wootton
Sven Erik Jørgensen
Bruce C. Anderson
19.1 Introduction
519(1)
19.2 Model Structure
520(1)
19.2.1 General Considerations
520(1)
19.2.2 Model Parameter Ranges and Default Values
521(1)
19.3 Model Calibration
521(12)
19.3.1 Field Trials from a Cold Climate Environment (Arctic Canada, Natural Tundra Wetland Examples)
524(6)
19.3.2 Field Trial from a Warm Climate Environment (Iringa, Tanzania---a Constructed Wetland Example)
530(3)
19.4 Advantages of SubWet in Comparison to Other Predictive Tools
533(2)
19.5 Summary and Conclusions
535(4)
References
536(3)
Chapter 20 Framing the Need for Applications of Ecological Engineering in Arctic Environments
539(14)
Colin N. Yates
Gordon C. Balch
Brent C. Wootton
20.1 Introduction
539(2)
20.2 Review of Application of Ecological Engineering in the Arctic: 1970s to Present
541(5)
20.2.1 Revegetation of Disturbed Tundra
542(1)
20.2.2 Soil Remediation
543(2)
20.2.3 Wetlands for Wastewater Treatment and Rehabilitation
545(1)
20.3 Barriers to the Application Ecological Engineering in the Arctic
546(1)
20.4 Moving Research to Application
547(1)
20.5 Conclusions
547(6)
References
548(5)
Chapter 21 Exploratory Performance Testing of a Pilot Scale HSSF Wetland in the Canadian Arctic
553(14)
Colin N. Yates
Brent C. Wootton
Stephen D. Murphy
Sven Erik Jørgensen
21.1 Introduction
553(1)
21.2 Methods
554(2)
21.3 Results/Discussion
556(8)
21.4 Conclusions
564(3)
Acknowledgments
564(1)
References
565(2)
Chapter 22 Practical Aspects, Logistical Challenges, and Regulatory Considerations for Modeling and Managing Treatment Wetlands in the Canadian Arctic
567(18)
Colin N. Yates
Gordon C. Balch
Brent C. Wootton
Sven Erik Jørgensen
22.1 Introduction
567(2)
22.1.1 Arctic Context
568(1)
22.2 Logistical Challenges
569(9)
22.2.1 The Wastewater System
571(6)
22.2.2 Current Regulatory Framework in the Canadian Arctic
577(1)
22.3 Best Practices
578(2)
22.3.1 Sampling
578(1)
22.3.2 Management/Infrastructure
578(1)
22.3.3 Modeling
579(1)
22.4 Recommendations
580(1)
22.4.1 Data Gaps/Science Needs
580(1)
22.4.2 Tundra Wetland as Part of the Treatment Chain
581(1)
22.5 Conclusions
581(4)
References
581(4)
Chapter 23 Modeling of Municipal Wastewater Treatment in a System Consisting of Waste Stabilization Ponds, Constructed Wetlands and Fish Ponds in Tanzania
585(16)
T.A. Irene
L. Yohana
M. Senzia
M. Mbogo
T.S.A. Mbwette
23.1 Introduction
585(1)
23.2 Previous Efforts in Modeling of Wastewater Treatment
586(2)
23.3 Sampling and Model Development
588(1)
23.3.1 Sampling and Analysis
588(1)
23.3.2 Model State Variables and Processes/Flows
588(1)
23.4 Mathematical Equations
588(3)
23.4.1 WSP (Maturation Pond)
588(2)
23.4.2 Horizontal Subsurface Constructed Wetlands
590(1)
23.4.3 Fish Pond
590(1)
23.5 Model Simulations and Output
591(6)
23.5.1 Waste Stabilization Pond (Maturation Pond)
591(1)
23.5.2 Nitrogen Mass Balance in WSP
591(2)
23.5.3 Horizontal Subsurface Flow Constructed Wetlands
593(1)
23.5.4 Mass Balance in the HSSFCW
593(2)
23.5.5 Fish Pond
595(1)
23.5.6 Mass Balance in the Fish Pond
595(2)
23.6 Conclusions and Recommendations
597(4)
23.6.1 Conclusions
597(1)
References
598(3)
Chapter 24 A Novel Subsurface Upflow Wetland with the Aid of Biosorption-Activated Media for Nutrient Removal
601(24)
Ni-Bin Chang
Martin P. Wanielista
Zhemin Xuan
24.1 Introduction
601(2)
24.2 Regulation and Policy
603(2)
24.2.1 Current Regulation of Water Quality and OSTDS Standards
603(1)
24.2.2 NSF 245 Standards
604(1)
24.3 Biosorption-Activated Media
605(1)
24.4 Field-Scale Study
606(15)
24.4.1 Process Design
606(4)
24.4.2 Selection of Plant Species
610(2)
24.4.3 Sampling and Analysis
612(2)
24.4.4 Performance-Based Comparisons Between Wetland Cells
614(2)
24.4.5 SUW Effluent Performance Concentrations
616(2)
24.4.6 SUW Mass Balance with Removal Performance Data
618(3)
24.5 Conclusions
621(4)
Acknowledgments
621(1)
References
622(3)
Chapter 25 Tracer-based System Dynamic Modeling for Designing a Subsurface Upflow Wetland for Nutrient Removal
625(23)
Ni-Bin Chang
Martin P. Wanielista
Zhemin Xuan
25.1 Introduction
625(2)
25.2 Site Description
627(2)
25.3 The Tracer Study
629(3)
25.3.1 Tracer Study
629(2)
25.3.2 Hydraulic Pathways of SUW
631(1)
25.4 Modeling the SUW System
632(11)
25.4.1 Conceptual Model
632(4)
25.4.2 Model Construction
636(2)
25.4.3 Model Equations
638(1)
25.4.4 Model Calibration and Validation
639(4)
25.5 Sensitivity Analysis
643(4)
25.6 Final Remarks
647(1)
25.7 Conclusions
647(1)
Acknowledgments 648(1)
References 648(3)
Index 651
Sven Erik Jųrgensen was the professor emeritus in environmental chemistry at the University of Copenhagen. He received a master of science in chemical engineering from the Danish Technical University (1958), a doctor of environmental engineering (Karlsruhe University) and a doctor of science in ecological modelling (Copenhagen University). He was the honourable doctor at Coimbra University, Portugal and at Dar es Salaam University (Tanzania). In 1975 he founded the journal Ecological Modelling and in 1978 the ISEM (International Society of Ecological Modelling). He has received several awards, the Ruder Boskovic Medal, the Prigogine Prize, the Pascal Medal, the Einstein professorship at the Chinese Academy of Sciences, the Santa Chiara Prize for multidisciplinary teaching and the very prestigious Stockholm Water Prize. He has published 366 papers of which 275 were published in peer-reviewed international journals and he has edited or authored 76 books, of which several have been translated to other languages (Chinese, Russian, Spanish and Portuguese). He has authored a successful textbook in ecological modelling Fundamentals of Ecological Modelling”, which was published as a fourth edition together with Brian Fath in 2011. It has been translated into Chinese and Russian (third edition). He authored a well received textbook in system ecology entitled Introduction to Systems Ecology”. It was published as an English edition in 2012 and as a Chinese edition in 2013. He was editor in chief of the Encyclopedia of Ecology, published in 2008, and of the Encyclopedia of Environmental Management, published in December 2012. He has taught courses in ecological modelling in 32 different countries. He is the editorial board member of 18 international journals in the fields of ecology and environmental management. He was the president of ISEM and he also was elected member of the European Academy of Sciences, for which he was the chairman of the Section for Environmental Sciences. Ni-Bin Chang is a professor in the Civil and Environmental Engineering Department and the Director of the Stormwater Management Academy, University of Central Florida (UCF) in the United States. From Aug. 2012 to Aug. 2014, he was the program director of the Hydrologic Sciences Program and Cyber-enabled Sustainability Science and Engineering Program for the National Science Foundation in the United States. He received a B.S. degree in Civil Engineering from National Chiao-Tung University (NCTU) in Taiwan in 1983, and M.S. and Ph.D. degrees in Water Resources and Environmental Systems Engineering from Cornell University in 1989 and 1991, respectively. Since 1992, Dr. Chang has been directing academic research in the core area of Environmental Sustainability, Water Resources Management, and Systems Analysis” based on various socio-technical system of systems engineering approaches. Ni-Bin is a new Renaissance-type scientist for whom cross-disciplinary research is the norm. With the formation of many cross-domain teams, his research areas include sustainable systems engineering, sustainability science, environmental and hydrological informatics/systems analysis, remote sensing and sensor networks, soft computing, industrial ecology, ecological engineering, green infrastructure planning and design, and system control/engineering optimization. Ni-Bin has received widespread recognition for his interdisciplinary research. He was elected as a Fellow of American Society of Civil Engineers (F.ASCE) in 2009 and the American Association for the Advancement of Science (F.AAAS) in 2011. He was also an elected Member of the European Academy of Sciences (M.EAS) in 2008 and has been a member of the Board of Earth Sciences and Environmental Sciences Division since then. He holds senior membership of the Institute of Electrical and Electronics Engineers (IEEE) and International Society of Optical Engineers (SPIE), Board Certified Environmental Engineer (BCEE), Diplomat of Water Resources Engineer (DWRE), Certificate of Leadership in Energy and Environment Design (LEED). He is the recipient of the Distinguished Visiting Fellowship of the Royal Academy of Engineering in United Kingdom (UK) in 2013, Fulbright Scholar Award in the U.S. in 2012, Bridging the Gaps Award from the Engineering and Physical Sciences Research Council (EPSRC) in the UK. in 2012, Outstanding Achievement Award (ASCE/EWRI) in the U.S. in 2010, and the Research Excellence Award from the National Research Council in Taiwan from 1997 to 2001. He has taught courses in Environmental Informatics and Remote Sensing, Environmental Systems Analysis etc. He is the editorial board member of 40+ international journals. As of Sept. 2013, Ni-Bin is the primary author or a co-author of over 208 peer-reviewed journal articles, 4 English books, 19 book chapters, and 175 conference papers. He was the guest editor of 11 special issues of academic journals, and the owner of 8 United States Patents. Dr. Fu-Liu Xu is a professor of environmental Sciences at Peking University, China. From 2001 to 2011, he was the director of the Environmental Sciences Division at the College of Urban and Environmental Sciences, Peking University. He received a B.S. degree in Geology from Hefei University of Technology in China in 1984, an M.S. degree in Geochemistry from Xian Geological College in China in 1988, and a Ph.D. degree in Ecological Modeling from the University of Copenhagen in Denmark in 1998. Since then, Dr. Xu have been conducting academic research in ecological and environmental sciences covering ecological modeling, ecological indicators, ecological health, ecological engineering, as well as the fate, transfer, ecotoxicology and risk assessment of toxic chemical pollutants. He was the recipient of the Marie Curie Fellowship in 1995, the Distinguished Visiting Fellowship from the University of Hawaii, the Chinese University of Hong Kong, and from the University of Kyoto in 2001, 2002 and 2003, respectively, as well as the National Foundation for Distinguished Young Scholars of China in 2007. He has taught courses in Ecological Modeling, Environmental Decision-Making Analysis, and Fundamentals of Geosciences. Dr. Xu is the editorial board member of three international journals, Ecological Modelling, Ecological Indicators, and Journal of Ecosystem. He has published 158 peer-reviewed journal articles. He was a co-author of the Handbook of Ecological Indicators for Assessment of Ecosystem Health published by CRC Press (First Edition in 1995 and Second Edition in 2010). He was the chief guest editor of the special issues on Toxic Chemical Pollutants in Freshwater Ecosystem for The Scientific World Journal with the Environmental Chemistry Domain in 2012. He is a Fellow of the International Society of Ecological Modelling (ISEM).