Abstract
Rainfall-triggered debris flow has caused multiple impacts to the environment. It. is regarded as the most severe secondary hazards of volcanic eruption. However, limited access to the active volcano slope restricts the ground rain measurement as well as the direct delivery of risk information. In this study, an integrated information system is proposed for volcanic-related disaster mitigation under the framework of X-Plore/X-band Polarimetric Radar for Prevention of Water Disaster. In the first part, the acquisition and processing of high-resolution X-band dual polarimetric weather/X-MP radar data in real-time scheme for demonstrating the disaster-prone region are described. The second part presents the design of rainfall resource database and extensive maps coverage of predicted hazard information in GIS web-based platform accessible both using internet and offline. The proposed platform would be useful for communicating the disaster risk prediction based on weather radar in operational setting.
Highlights
Debris flow disaster triggered by heavy rain is noticed as the most serious secondary impact of volcanic disaster
Compared to the conventional radar, X-band multiparameter weather radar/X-MP radar provides more fine rainfall information (Kato and Maki, 2009) which is very advantageous for hydrological purpose
In the V.1.0 version, the application of X-MP radar installed in Merapi Volcano, Indonesia, is developed as a softcountermeasures of multimodal sediment disaster caused by eruption, which is historically one of the most active volcanoes in Indonesia
Summary
Debris flow disaster triggered by heavy rain is noticed as the most serious secondary impact of volcanic disaster. Rainfall critical line is broadly applied in sediment flow researches and operations (Neary et al, 1987) for determining the triggering rain which causes material movement. They were not developed by using the data form weather radar observations. In the V.1.0 version, the application of X-MP radar installed in Merapi Volcano, Indonesia, is developed as a softcountermeasures of multimodal sediment disaster caused by eruption, which is historically one of the most active volcanoes in Indonesia This attempt will complement the aforesaid utilization of radar technology and the forecasting model under the intelligent network as part of a unified flood management in volcanic basins
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