Japanese early-warning for debris flows and slope failures using rainfall indices with Radial Basis Function Network |
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Authors: | Nobutomo Osanai Takeshi Shimizu Kazumasa Kuramoto Shinichi Kojima and Tomoyuki Noro |
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Institution: | (1) Erosion and Sediment Control Division, National Institute for Land and Infrastructure Management (NILIM), MLIT, 1, Asahi, Tsukuba Ibaraki Prefecture, 305-0804, Japan;(2) Volcano and Debris Flow Research Team, Public Works Research Institute (PWRI), 1-6, Minamihara, Tsukuba, Ibaraki Prefecture, Japan;(3) Chuden Engineering Consultants Co., Ltd, 2-3-30 Deshio, Minami-ku, Hiroshima, Hiroshima Prefecture, Japan;(4) Fujikawa Sabo Office, MLIT, Fujimi, Japan;(5) Snow Avalanche and Landslide Research Center, PWRI, 2-6-8 Nishiki Town, Myoukou, Niigata Prefecture, Japan |
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Abstract: | Early-warning systems for natural disasters are important tools for disaster risk reduction and for achieving sustainable
development and livelihoods. In 2005, the Japanese government initiated a new nationwide early-warning system for landslides
disasters. The main methodology of the system is to set a criterion for occurrences of debris flows and slope failures based
on several rainfall indices (60-min cumulative rainfall and soil–water index) in each 5-km grid mesh covering all of Japan.
Because many of the records of mass movements are lacking in scientific precision on timing and location, the system applies
Radial Basis Function Network methods to set the criterion based primarily on rainfall data recorded as not triggering disasters.
Since the end of March 2007, under torrential rainfall conditions, early-warning information has been disseminated as part
of weather news using TV, radio, and the Internet. Because of the increasing worldwide recognition of the importance of early-warning
systems for natural disaster reduction, the aim of this article is to introduce the new Japanese early-warning system to the
international landslide community. In this article, the method, the system, and the result of its application to landslide
disasters in 2009 are presented. |
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