Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B8, 125-132, 2016
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B8/125/2016/
doi:10.5194/isprs-archives-XLI-B8-125-2016
 
22 Jun 2016
ANALYSIS OF DEBRIS FLOW DISASTER DUE TO HEAVY RAIN BY X-BAND MP RADAR DATA
M. Nishio1 and M. Mori2 1Graduate School of Humanity-Oriented Science and Engineering, Kinki University, 8208555 Iizuka City, Fukuoka, Japan
2Dept. of Information Science, School of Humanity-Oriented Science and Engineering, Kinki University, 8208555 Iizuka City, Fukuoka, Japan
Keywords: M X-band MP radar, GIS, Disaster prevention, Web-based Abstract. On August 20 of 2014, Hiroshima City (Japan) was struck by local heavy rain from an autumnal rain front. The resultant debris flow disaster claimed 75 victims and destroyed many buildings. From 1:30 am to 4:30 am on August 20, the accumulated rainfall in Hiroshima City exceeded 200 mm. Serious damage occurred in the Asakita and Asaminami wards of Hiroshima City. As a disaster prevention measure, local heavy rain (localized torrential rains) is usually observed by the Automated Meteorological Data Acquisition System (AMeDAS) operated by the Japan Meteorological Agency (JMA) and by the C-band radar operated by the Ministry of Land, Infrastructure, Transport and Tourism (MLIT) of Japan, with spatial resolutions of 2.5 km and 1 km, respectively. The new X-band MP radar system enables more detailed rainfall observations than the C-band radar. In fact, this radar can observe local rainfall throughout Japan in near-real time over a minimum mesh size of 250 m. A fine-scale accumulated rainfall monitoring system is crucial for disaster prevention, and potential disasters can be alerted by the hazard levels of the accumulated rainfall.
Conference paper (PDF, 8378 KB)


Citation: Nishio, M. and Mori, M.: ANALYSIS OF DEBRIS FLOW DISASTER DUE TO HEAVY RAIN BY X-BAND MP RADAR DATA, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B8, 125-132, doi:10.5194/isprs-archives-XLI-B8-125-2016, 2016.

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