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Improving Flood Management, Prediction and Monitoring
Case Studies in Asia. Community, Environment and Disaster Risk Management
Genres:
Engineering, Applied Science & Agriculture, Environmental science, engineering & technology, Environmental monitoring, Flood control
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Synopsis
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 in 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 where 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 of be particular interest to students, researchers and policy specialists involved with examining flood related risk reduction methods and systems for key decision makers. New & Used
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What Reviewers Are Saying
This volume compiles 13 chapters first presented at the Conference on Flood Catastrophes in a Changing Environment, held in Kuala Lumpur, Malaysia, in November 2016. Engineers and other researchers from Asia, Europe, and Nigeria explore improving flood management, prediction, and monitoring based on case studies from Asia, particularly Malaysia. They address phases of disaster before, during, and after floods in terms of adaptation strategies for flood mitigation, the application of an interactive dam safety decision support system for a flood emergency response plan, health-related issues and community empowerment, runoff prediction accuracy, detecting the origin of sediment using environmental forensics, the evaluation of transportation modes and routes for disaster relief using a geographical information system, experimental investigation of a lightweight composite slab for floating structures, facts and trends related to urban exposure to flash flooding, a flood disaster prediction model based on artificial neural networks, a flood monitoring system using mobile SCADA (Supervisory Control and Data Acquisition) based on multiple environment indications, the study of daily rainfall datasets, and time-based and non-time-based clustering in the identification of river discharge patterns. -- Annotation (c)2018 * (protoview.com) *