Drought prediction with standardized precipitation and evapotranspiration index and support vector regression models

Deo, Ravinesh C. and Salcedo-Sanz, Sancho and Carro-Calvo, Leopoldo and Saavedra-Moreno, Beatriz (2018) Drought prediction with standardized precipitation and evapotranspiration index and support vector regression models. In: Integrating disaster science and management. Global Case Studies in Mitigation and Recovery. Elsevier, Amsterdam, Netherlands, pp. 151-174. ISBN 978-0-12-812056-9


Description: Integrated Disaster Science and Management: Global Case Studies in Mitigation and Recovery bridges the gap between scientific research on natural disasters and the practice of disaster management. It examines natural hazards, including earthquakes, landslides and tsunamis, and uses integrated disaster management techniques, quantitative methods and big data analytics to create early warning models to mitigate impacts of these hazards and reduce the risk of disaster. It also looks at mitigation as part of the recovery process after a disaster, as in the case of the Nepal earthquake. Edited by global experts in disaster management and engineering, the book offers case studies that focus on the critical phases of disaster management.

Key Features:
Identifies advanced techniques and models based on natural disaster science for forecasting disasters and analyzing risk
Offers a holistic approach to the problem of disaster management, including preparation, recovery, and resilience
Includes coverage of social, economic, and environmental impacts on disasters

Graduate students, postgraduate students, researchers, and practitioners in disaster/emergency management Secondary audience: Researchers in disaster science

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Item Type: Book Chapter (Commonwealth Reporting Category B)
Refereed: Yes
Item Status: Live Archive
Additional Information: Permanent restricted access to Published version, in accordance with the copyright policy of the publisher.
Faculty/School / Institute/Centre: Current - Faculty of Health, Engineering and Sciences - School of Agricultural, Computational and Environmental Sciences
Date Deposited: 18 May 2018 02:23
Last Modified: 19 Sep 2018 03:53
Fields of Research : 05 Environmental Sciences > 0502 Environmental Science and Management > 050204 Environmental Impact Assessment
09 Engineering > 0915 Interdisciplinary Engineering > 091507 Risk Engineering (excl. Earthquake Engineering)
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970109 Expanding Knowledge in Engineering
URI: http://eprints.usq.edu.au/id/eprint/34109

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