Environmental management and risk assessment activities are often based on limited, imprecise or uncertain observations and numerical simulations. Since the 1960s, fuzzy systems modeling has been applied successfully in many scientific and technological fields, and has proven to be extremely useful when dealing with environmental problems. The main idea of the application of fuzzy logic is presentation of all systems parameters and variables as a matter of degree or partial belief, which will, nevertheless, allow one to produce acceptable, but definite, outputs in response to incomplete, ambiguous, distorted, or imprecise inputs. Fuzzy Systems Modeling in Environmental and Health Risk Assessment presents a compendium of the theoretical and practical aspects of using fuzzy systems modeling methods about solving environmental problems and analyzing health risks.
Volume highlights include:
- Environmental quality assessment and human health risk analysis
- Solving environmental problems related to air and water pollution, solid waste, indoor swimming pool and landfill risk assessments, wastewater treatment, hydrology, etc.
- Practical applications of fuzzy systems modeling in hydrogeology and environmental science
Fuzzy Systems Modeling in Environmental and Health Risk Assessment is an invaluable resource for environmental engineers, environmental scientists, hydrogeologists, mathematical geologists, numerical modelers, geohealth and for researchers and practitioners interested in application of soft computing theories to solving a variety of environmental problems.
Boris Faybishenko is a Staff Scientist in the Earth Sciences Division at the Lawrence Berkeley National Laboratory, Earth and Environmental Sciences Area in California, USA.
Rehan Sadiq is Professor and Associate Dean of the Faculty of Applied Science in the School of Engineering at the University of British Columbia, Kelowna Center in Canada.
Ashok Deshpande (deceased) was a Professor in the College of Engineering, Pune (COEP), India, as well as Chair, Guest Faculty, and Scientist at the Berkeley Initiative in Soft Computing (BISC)-Special Interest Group (SIG)-Environment Management Systems (EMS) at the University of California, Berkeley.
Introduction
Part I: Theoretical Considerations
1. Fuzzy Logic and Fuzzy Set Theory: Overview of Mathematical Preliminaries
Part II: Water and Air Risk Assessment
2. Fuzzy-Based Integrated Risk Assessment of Methyl Mercury in Lake Phewa, Nepal
3. A Fuzzy Approach to Analyze Data Uncertainty in the Life Cycle Assessment of a Drinking Water System: A Case Study of City of Penticton (CA)
4. Environmental Quality Assessment using Fuzzy Logic
5. Assessing Spatiotemporal Water Quality Variations in Polluted Rivers with Uncertain Flow Variations: An Application of Triangular Type-2 Fuzzy Sets
6. Optimal Ranking of Air Quality Monitoring Stations and Thermal Power Plants in a Fuzzy Environment
Part III: Fuzzy Logic Application in Healthcare Decision-making
7. Health Effects Due to Environmental Pollution Based on Belief and Possibility
8. Respiratory Disease Risk Assessment Among Solid Waste Workers Using Fuzzy Rule-Based System Approach
9. Risk Analysis for Indoor Swimming Pools: A Fuzzy-Based Approach
Part IV: Fuzzy Logic Applied for Management of Water Distribution Networks
10. Fuzzy Parameters in Analysis of Water Distribution Networks
11. Selection of Wastewater Treatment for Small Canadian Communities: An Integrated Fuzzy AHP and Grey Relational Analysis Approach
12. Fuzzy Logic Applications for Water Pipeline Risk Analysis
13. Fuzzy Logic Applications for Water Pipeline Performance Analysis
Part V: Using fuzzy logic for optimization of water treatment and waste management
14. Developing a Fuzzy Based Model for Regional Waste Management
15. Development of a Fuzzy-Based Risk Assessment Model for Process Engineering
16. Application of Fuzzy Theory to Investigate the Effect of Innovation Power in the Emergence of Advanced Reusable Packaging System
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