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Resilience, response, and risk in water systems shifting management and natural forcings paradigms /

This book talks about the dynamics of the surface water-groundwater contaminant interactions under different environmental conditions across the world. The contents of the book highlight trends of monitoring, prediction, awareness, learning, policy, and mitigation success. The book provides a descri...

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Other Authors: Manish Kumar,, Munoz-Arriola, Francisco, 1969-, Furumai, Hiroaki,, Chaminda, Tushara., SpringerLink (Online service)
Format: eBook
Language: English
Published: Singapore : Springer, 2020.
Singapore : 2020.
Physical Description: 1 online resource.
Series: Springer transactions in civil and environmental engineering.
Subjects:
Water-supply -- Management.
Hydrogeology.
Groundwater -- Pollution.
Water -- Pollution.
Quality control.
Sustainable development.
Environmental management.
Industrial safety.
Table of Contents:
  • Intro
  • Foreword by Dr. Virendra M. Tiwari
  • Acknowledgements
  • Contents
  • Editors and Contributors
  • Part I Risk Management and Data Science (Engineering) for Water Supply
  • 1 History, Evolution, and Future of Rapid Environmental Assays Used to Evaluate Water Quality and Ecosystem Health
  • 1.1 Introduction
  • 1.2 Background and Theory of Immunoassays
  • 1.3 History
  • 1.4 Accreditation/Validation of Environmental Rapid/Field Tests
  • 1.5 Current and Future Directions in Rapid Screening Methods
  • 1.6 Summary and Conclusion
  • References.
  • 2 Development of Operational Resilience Metrics for Water Distribution Systems
  • 2.1 Water Distribution Networks
  • 2.1.1 Disruption in Water Distribution Networks
  • 2.2 Nodal-Level Performance of Water Distribution Networks
  • 2.2.1 Head Ratio
  • 2.2.2 Flow Ratio
  • 2.3 Case Studies
  • 2.3.1 Effect of Disruptions on Performance Measures
  • 2.3.2 Sensitivity Analysis
  • 2.4 Conclusion
  • References
  • 3 An Overview of Big Data Analytics: A State-of-the-Art Platform for Water Resources Management
  • 3.1 Introduction
  • 3.2 Big Water Data and Associated Characteristics.
  • 3.3 Big Data Analytical Methods
  • 3.4 Big Data and Water Resources Management
  • 3.4.1 Types of Water Data and Data-Sharing Methodologies
  • 3.4.2 Appositeness of Big Data to Water Resources
  • 3.4.3 Limitations of the Big Water Data Analytics
  • 3.5 Big Water Data Platform Components and Structure
  • 3.6 Modern Big Data Cycle in the Context of Water Resources
  • 3.7 Future Perspectives of Big Data for Water Resources Management
  • 3.8 Conclusion
  • References
  • 4 Role of Physical Parameters in Developing a Geogenic Contaminant Risk Approach
  • 4.1 Introduction.
  • 4.2 Parameters Impacting the Water Quality-Mode of Acquisition and Assessment
  • 4.2.1 Method of Integrating Multiparameter Data into a Common Index
  • 4.3 Potential of Satellite Imageries in Developing an Ensemble
  • 4.4 Understanding the Geogenic Impact and Sediment Connectivity on Water Quality
  • 4.5 Conclusion
  • References
  • 5 Water Indices: Specification, Criteria, and Applications-A Case Study
  • 5.1 Introduction
  • 5.1.1 Categories of WQI (Tirkey et al. 2013)
  • 5.1.2 Steps in Developing Water Quality Index (Sutadian et al. 2016, 2017)
  • 5.1.3 Benefits of Application of WQIs.
  • 5.2 Overview of WQIs and Its Applications
  • 5.2.1 Advantages and Disadvantages of Some Selected Water Quality Indices
  • 5.2.2 Applications of Water Quality Indices in Groundwater Quality Assessment of Anuppur District of Madhya Pradesh
  • 5.2.3 Entropy Weighted Irrigation Water Quality Index (EIWQI)
  • 5.2.4 Classification of Water Quality in the Overall Pollution Index (Sargaonkar et al. 2008)
  • 5.2.5 Result and Discussions
  • 5.2.6 WQI Studies from Worldwide
  • 5.2.7 Conclusion
  • References
  • Part II Water Resilence: Vulnerability and Response.

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