Several sediment disasters have occurred in recent years as a result of heavy rainfall. Furthermore, nonstructural measures have been implemented to mitigate these disasters using precipitation information, including continuous precipitation and soil water index. Currently, the precipitation information used for non-structural measures, including 48-hour precipitation, continuous precipitation, and soil rainfall index, need to be calculated individually based on the hourly precipitation data provided by the Japan Meteorological Agency and other similar sources. In this study, we have developed a program that computes precipitation information, including 48-hour precipitation, arbitrary time period precipitation, continuous precipitation, and soil water index. This program is based on radar measurements and helps simplify the development of diverse precipitation information using hourly precipitation data. The program allows users to change the calculation conditions, when assessing diverse precipitation information, to generate the desired output. Furthermore, we have demonstrated that various types of precipitation information can be generated for the Kure region in Hiroshima Prefecture by using the precipitation data obtained during the heavy rain disaster in July, 2018. Moreover, we compared the rainfall observation results with the calculation results and showed that the maximum values of both are almost the same.
This paper reports a result of roadside landslide disasters along national highways from the year 1996 to the year 2004, and we describe that a roadside landslide hazard map is useful to prevent highways from disasters.Ministry of Land, Infrastructure and Transport (MLIT) encountered 477 landside disasters with road traffic closures on national highways in the past fifteen years after the campaign. We divided 477 disasters into groups by both of evaluation ranks and disaster types. It results that half of disasters occurred at non-predictive sites in the former road facility inspection campaign of MLIT.In order to solve these problems, we applied a roadside landslide hazard map to a road in a mountain. The hazard map shows weakness in heavy rainfall and countermeasure on roadside at a glance. The hazard map integrated results of road facility comprehensive inspection, daily patrol and disaster records into a map at a scale of 1:5,000. Weakness is a causative factor of landslides such as such as rock-fall, slope failure, rock-mass failure, debris flows, and so on. These were recognized as geographical features by air-photo interpretation. In the other hand, countermeasure shows roadside slope stability. These countermeasures are divided into three ranks on a guideline of road facility comprehensive inspection in 1996.It resulted that our hazard map newly picked up 8 slopes along the highway. The map was useful to evaluate risks to a highway effectively.
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