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発表 Prediction on sediment related disaster through the satellite rainfall data

作成年度 2013 年度
論文名 Prediction on sediment related disaster through the satellite rainfall data
論文名(和訳)
論文副題
発表会 USMCA 2013
誌名 USMCA2013
巻・号・回
発表年月日 2013/10/01
所属研究室/機関名 著者名(英名)
ICHARMYoshikazu SHIMIZU
ICHARMToshio OKAZUMI
Volcano and debris-flow Research team, PWRITadanori ISHIZUKA
抄録
In this study, the sediment-related disaster prediction method currently practiced in Japan was coupled with satellite rainfall data and applied to domestic large-scale sediment-related disasters. The study confirmed the feasibility of this integrated method. In Asia, large-scale sediment-related disasters which can sweep away an entire settlement occur frequently. Leyte Island suffered from a huge landslide in 2004, and Typhoon Molakot in 2009 caused huge landslides in Taiwan. In the event of these sediment-related disasters, immediate responses by central and local governments are crucial in crisis management.In developing countries, however, only limited rainfall information is available from regular and radar rain gauge networks. For this reason, the International Centre for Water Hazard and Risk Management (ICHARM) of the Public Works Research Institute has developed and has been disseminating the Integrated Flood Analysis System (IFAS) to establish flood warning and evacuation systems in developing countries with insufficient hydrological information. This study confirmed that it is possible to deliver information on the risk level of sediment-related disasters such as slope failures and debris flows in addition to flood warning by IFAS. The prediction method tested in this study is expected to assist sparsely gauged areas in timely emergency responses to rainfall-induced natural disasters.
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