Development of a Hybrid Water-Related Disaster Risk Assessment Technology for Sustainable Local Economic Development Policy under Climate Change
Disaster Prevention and Mitigation
Republic of the Philippines
Prof. Fernando C. Sanchez, Jr
University of the Philippines Los Baños (UPLB)Republic of the Philippines
University of Tokyo / International Centre for Water Hazard and Risk Management (ICHARM), Public Works Research Institute (PWRI) / Tohoku University / Kyoto University / University of Shiga Prefecture / Nagoya University
University of the Philippines Los Baños (UPLB) / University of the Philippines Diliman (UPD) / University of the Philippines Mindanao (UPMin)
FY 2019
5 Years
Hybrid water-related disaster risk assessment combining climatic, hydrological, agricultural, and economic models
It is feared that frequent water-related disasters in the Republic of the Philippines brought on by future climate change will hinder sustainable development of regional cities and exacerbate overconcentration in Metro Manila. This project creates hybrid water-related disaster risk assessment models that combine future climate change, hydrological, agricultural, and economic models and conducts an objective assessment of the effectiveness of investing in disaster prevention measures in the Pampanga River basin and the Pasig-Marikina River and Laguna Lake basins in the environs of Metro Manila.
Contributing to sustainable economic development through policy recommendations based on water-related disaster risk assessment
Utilizing hybrid water-related disaster risk assessment models for these river basins, this project will predict future economic development scenarios in line with disaster prevention measures formulated in advance and present policy recommendations for enhanced resilience to water-related disasters caused by climate change and sustainable economic development through balanced national development.
Japan Science and Technology Agency (JST)
Department of International Affairs
SATREPS Group
TEL : +81-3-5214-8085
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