Resilience, response, and risk in water systems : shifting management and natural forcings paradigms /: shifting management and natural forcings paradigms. (2020)
- Record Type:
- Book
- Title:
- Resilience, response, and risk in water systems : shifting management and natural forcings paradigms /: shifting management and natural forcings paradigms. (2020)
- Main Title:
- Resilience, response, and risk in water systems : shifting management and natural forcings paradigms
- Further Information:
- Note: Manish Kumar, Francisco Munoz-Arriola, Hiroaki Furumai, Tushara Chaminda, editors.
- Other Names:
- Manish Kumar
Munoz-Arriola, Francisco, 1969-
Furumai, Hiroaki
Chaminda, Tushara - 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 -- 3.7Intro -- 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 … (more)
- Publisher Details:
- Singapore : Springer
- Publication Date:
- 2020
- Extent:
- 1 online resource
- Subjects:
- 363.6/1
Water-supply -- Management
Hydrogeology
Groundwater -- Pollution
Water -- Pollution
Electronic books
Electronic books - Languages:
- English
- ISBNs:
- 9789811546686
9811546681 - Related ISBNs:
- 9811546673
9789811546679 - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
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- Physical Locations:
- British Library HMNTS - ELD.DS.517528
- Ingest File:
- 03_103.xml