Translated Titles

Warning Model for Predicting the Risk Zones of Rainfall-Induced Slopeland Disasters




陳振宇(Chen-Yu Chen);陳均維(Jyun-Wei Chen);陳國威(Kuo-Wei Chen);林詠喬(Yung-Chiau Lin)

Key Words

災害 ; 脆弱度 ; 危害度 ; 崩塌 ; 預警系統 ; Disaster ; fragility ; hazard ; landslide ; warning system



Volume or Term/Year and Month of Publication

50卷1期(2019 / 03 / 01)

Page #

1 - 10

Content Language


Chinese Abstract


English Abstract

Slopeland disasters triggered by rainfall are related to geology, topography, and vegetation conditions; however, most warning models are only quantified for rainfall indicators. For example, although the current debris flow warning model in Taiwan and the sediment-related disaster warning model in Japan employ different critical lines, indicating the differences in the geology and terrain of the two regions, these models do not comprise a defined set of quantitative assessment methods for expressing the physiographic fragility of each region. In this study, we used historical relative rainfall data from QPESUMS to define a rainfall hazard index (H_R) and adopted the frequency and scale of new collapses in each QPESUMS mesh to determine a physiographic fragility index (F_P). Then, we integrated these two indicators to obtain the risk level of rainfall-induced hazard (R_h) for each QPESUMS mesh during a typhoon or heavy rainfall. Finally, we considered rainfall events from 2005 through 2017 in Liougui District of Kaohsiung City as an example. The results indicate that the warning model can predict the occurrence and location of new collapses and also display the risk zones of rainfall-induced slopeland disasters through a visualization platform.

Topic Category 生物農學 > 農業
生物農學 > 森林
生物農學 > 畜牧
生物農學 > 漁業
生物農學 > 生物環境與多樣性
工程學 > 土木與建築工程
工程學 > 市政與環境工程