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Improving flood management, prediction and monitoring : case studies in Asia / edited by Zulkifli Yusop, Azmi Aris, Nor Eliza Alias, Kogila Vani Annammala, William L. Waugh. Jr.

Contributor(s): Material type: TextTextSeries: Community, environment and disaster risk management ; v. 20.Publisher: Bingley : Emerald Publishing Limited, 2019Edition: First editionDescription: 1 online resource : illustrations (some color)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781787565517
  • 1787565513
  • 1787565521
  • 9781787565524
Subject(s): Genre/Form: Additional physical formats: Print version:: Improving flood management, prediction and monitoring.DDC classification:
  • 627/.4095 23
LOC classification:
  • TC499
Online resources:
Contents:
Adaptation strategies for flood mitigation in Pahang River Basin -- Application of interactive dam safety decision support system (INSPiRE) for flood emergency response plan (ERP) of Sultan Abu Bakar Dam Malaysia -- Burden of health-related issues and community empowerment in Malaysia's east coast flood -- Deviation of region-specific curve number for an improved runoff prediction accuracy -- Environmental forensics: a multi-catchment approach to detect origin of sediment featuring two pilot projects in Malaysia -- Evaluating transportation modes and routes for disaster relief in Kelantan using geographical information system -- Experimental investigation on lightweight composite slab for floating structures. Facts and trends of urban exposure to flash flood: a case of Kuala Lumpur City -- Flood disaster management in Sungai Pahang Basin: case of Temerloh -- Flood disaster prediction model based on artificial neural network: a case study of Kuala Kangsar, Perak -- Flood monitoring system using mobile SCADA based on multiple environment indications -- Kelantan daily rainfall datasets: persistence in nature -- Performance of time-based and non-time-based clustering in the identification of river discharge patterns.
Summary: Flood risk management requires a multi-disciplinary approach with experts from the fields of health, town planning, civil engineering, computer science and mathematical statistics. This volume presents chapters highlighting the methodologies and tools developed to improve flood management and flood risk reduction. Chapters in this important volume consider research on emerging economies and developing countries and the case studies are focused on Malaysia, China and South-East Asia. The book presents key research from areas of the globe where flood management has not traditionally been studied but the effects of climate change and natural disasters present huge challenges for societies in the region. This volume, edited by leaders in the field of disaster management, would be of particular interest to students, researchers and policy specialists involved with examining flood-related risk reduction methods and systems for key decision makers.
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Electronic-Books Electronic-Books OPJGU Sonepat- Campus E-Books EBSCO Available

Online resource; title from PDF title page (EBSCO, viewed November 14, 2018).

Includes bibliographical references and index.

Adaptation strategies for flood mitigation in Pahang River Basin -- Application of interactive dam safety decision support system (INSPiRE) for flood emergency response plan (ERP) of Sultan Abu Bakar Dam Malaysia -- Burden of health-related issues and community empowerment in Malaysia's east coast flood -- Deviation of region-specific curve number for an improved runoff prediction accuracy -- Environmental forensics: a multi-catchment approach to detect origin of sediment featuring two pilot projects in Malaysia -- Evaluating transportation modes and routes for disaster relief in Kelantan using geographical information system -- Experimental investigation on lightweight composite slab for floating structures. Facts and trends of urban exposure to flash flood: a case of Kuala Lumpur City -- Flood disaster management in Sungai Pahang Basin: case of Temerloh -- Flood disaster prediction model based on artificial neural network: a case study of Kuala Kangsar, Perak -- Flood monitoring system using mobile SCADA based on multiple environment indications -- Kelantan daily rainfall datasets: persistence in nature -- Performance of time-based and non-time-based clustering in the identification of river discharge patterns.

Flood risk management requires a multi-disciplinary approach with experts from the fields of health, town planning, civil engineering, computer science and mathematical statistics. This volume presents chapters highlighting the methodologies and tools developed to improve flood management and flood risk reduction. Chapters in this important volume consider research on emerging economies and developing countries and the case studies are focused on Malaysia, China and South-East Asia. The book presents key research from areas of the globe where flood management has not traditionally been studied but the effects of climate change and natural disasters present huge challenges for societies in the region. This volume, edited by leaders in the field of disaster management, would be of particular interest to students, researchers and policy specialists involved with examining flood-related risk reduction methods and systems for key decision makers.

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