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

著者

    • Kumar, Manish
    • Munoz-Arriola, Francisco
    • Furumai, Hiroaki
    • Chaminda, Tushara

書誌事項

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

Manish Kumar ... [et al.], editors

（Springer transactions in civil and environmental engineering）

Springer, c2020

大学図書館所蔵 件 / 全2件

この図書・雑誌をさがす

注記

Includes bibliographical references

収録内容

  • 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

内容説明・目次

内容説明

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 description of the background processes and factors controlling resilience, risk, and response of water systems, contributing to the development of more efficient, sustainable technologies and management options. It integrates methodologies and techniques such as data science and engineering, remote sensing, modelling, analytics, synthesis and indices, disruptive innovations and their utilization in water management, policy making, and mitigation strategies. The book is intended to be a comprehensive reference for students, professionals, and researchers working on various aspects of science and technology development. It will also prove a useful resource for policy makers and implementation specialists.

目次

Section 1: Water Resilience: Vulnerability and Response i. Problem, perspective and challenges of water monitoring ii. Water resilience to natural and human disasters iii. Food-Energy-Water-Ecosystem Services Nexus iv. Water supply, urbanization and climate change v. Integrative risk assessment and water management Section 2: Data science and engineering for water system vi. Water Data: modeling, uncertainty, and security vii. Standardization, Interoperability, and data sharing viii. Analytics in Water Resource ix. Visualization and synthesis of the multi-dimensional water system x. Water Indices: specification, criteria and application Section 3: Innovation in operational water management xi. Engineering water supply for conservation, resiliency, and sustainability xii. Water quality treatments and natural remediation of water contaminants xiii. Shifts and trends of water quality analyses xiv. Paradigms of life cycle, vulnerability and cost benefit analyses for water xv. Modeling human behavior and decision making Section 4: Policy and Mitigation xvi. Bridging water quality and quantity for adaptive management xvii. Preparedness and awareness in sanitization for health and prosperity xviii. Science, sense and sensibility for water quality mitigation and policy making xix. Collaborations and conflicting interest across government and interstate conflicts xx. Language of water science: common ground for scientist, stake holders and managers

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