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Full Description
This book presents an overview of modeling and simulation of environmental systems via diverse research problems and pertinent case studies. It is divided into four parts covering sustainable water resources modeling, air pollution modeling, Internet of Things (IoT) based applications in environmental systems, and future algorithms and conceptual frameworks in environmental systems. Each of the chapters demonstrate how the models, indicators, and ecological processes could be applied directly in the environmental sub-disciplines. It includes range of concepts and case studies focusing on a holistic management approach at the global level for environmental practitioners.
Features:
Covers computational approaches as applied to problems of air and water pollution domain.
Delivers generic methods of modeling with spatio-temporal analyses using soft computation and programming paradigms.
Includes theoretical aspects of environmental processes with their complexity and programmable mathematical approaches.
Adopts a realistic approach involving formulas, algorithms, and techniques to establish mathematical models/computations.
Provides a pathway for real-time implementation of complex modeling problem formulations including case studies.
This book is aimed at researchers, professionals and graduate students in Environmental Engineering, Computational Engineering/Computer Science, Modeling/Simulation, Environmental Management, Environmental Modeling and Operations Research.
Contents
1. Computational models for water resource management: opportunities and challenges
2. Applicability of Soft Computational Models for Integrated Water Resource Management
3. Computational Models for Exchange of Water between Ground Water and Surface Water Resources over a Sub-basin
4. Computational and Field Approach to Assess Artificial Recharge of Groundwater
5. Multi-Objective Optimization in Water Resource Management
6. Tools in Decision Making of Allocation of Non-traditional Resources for Sustainable Water Development
7. Soft Computing Techniques for Forecasting of Water Demand
8. Intervention of Computational Models for Groundwater Pollution Source Characterization
9. Artificial Intelligence for Air Quality and Control Systems: Status and Future Trends
10. Fuzzy and Neural Network Model based Environmental Quality Monitoring System: Past, Present, and Future
11. Internet of Things (IoT) - Powered Enhancements to Industrial Pollution Monitoring Systems
12. Impact of Temporary COVID-related lockdowns on air quality across the globe: A systematic review
13. Impact of Lockdown on Air Quality during COVID-19 Outbreak: A Global Scenario
14. Integration of Geospatial Techniques in Environment Monitoring Systems
15. Agent Based Modeling for Integrated Urban Water Management
16. Data-Driven Modelling Approach in Model Rainfall-Runoff for a Mountainous Catchment
17. Geospatial Technology-based Artificial Groundwater Recharge Site Selection for Sustainable Water Resource Management: A Case Study of Rajkot District, Gujarat
18. Rainfall-Runoff Estimation for Rapti River Catchment Using Geospatial Technology
19. Methodologies of Scenario Development for Water Resource Management: A Review
20. Process-based Scenario Analyses of Future Socio-environmental Systems: Recent Efforts and a Salient Research Agenda for Decision Making
21. From Quantitative to Qualitative Environmental Analyses: Translating Mental Modeling into Physical Modeling
22. An Interdisciplinary Modeling Approach for Dynamic Adaptive Policy Pathways
