透過您的圖書館登入
IP:3.142.200.226
  • 期刊

土石流發生降雨警戒模式

A Debris-Flow Rainfall-Based Warning Model

摘要


The product of rainfall intensity and effective accumulated rainfall is defined as a debris-flow rainfall triggering index (RTI). A new rainfall-based debris-flow warning model is developed in which a diagram is set up with the RTI-data on the ordinate and the time of rainfall on the abscissa in order to evaluate debris-flow occurrence probability. A method is proposed to determine the lower critical warning line (RTI=RTI10) and the upper critical warning line (RTI=RTI90), based on the RTI-values of historical rainfalls. The lower and upper critical warning lines divide the debris-flow occurrence probability into three parts. The RTI-values smaller than RTI10 suggest that the debris-flow occurrence probability is less than 10%, the RTI-values higher than RTI90 suggest that the occurrence probability is larger than 90%, and the RTI-values between RTI10 and RTI90 suggest that the debris-flow occurrence probability is between 10% and 90%. The proposed model was applied at Shueili, Nantou County, central Taiwan to evaluate the temporal variations of debris-flow occurrence probabilities caused by two rainfall events. The results show that the proposed model could effectively evaluate the temporal variations of debris-flow occurrence probability during a rainfall event.

並列摘要


The product of rainfall intensity and effective accumulated rainfall is defined as a debris-flow rainfall triggering index (RTI). A new rainfall-based debris-flow warning model is developed in which a diagram is set up with the RTI-data on the ordinate and the time of rainfall on the abscissa in order to evaluate debris-flow occurrence probability. A method is proposed to determine the lower critical warning line (RTI=RTI10) and the upper critical warning line (RTI=RTI90), based on the RTI-values of historical rainfalls. The lower and upper critical warning lines divide the debris-flow occurrence probability into three parts. The RTI-values smaller than RTI10 suggest that the debris-flow occurrence probability is less than 10%, the RTI-values higher than RTI90 suggest that the occurrence probability is larger than 90%, and the RTI-values between RTI10 and RTI90 suggest that the debris-flow occurrence probability is between 10% and 90%. The proposed model was applied at Shueili, Nantou County, central Taiwan to evaluate the temporal variations of debris-flow occurrence probabilities caused by two rainfall events. The results show that the proposed model could effectively evaluate the temporal variations of debris-flow occurrence probability during a rainfall event.

被引用紀錄


楊凱翔(2017)。霧社水庫集水區土壤沖蝕預測模式研究〔碩士論文,淡江大學〕。華藝線上圖書館。https://doi.org/10.6846/TKU.2017.00549
馮威嘉(2013)。以雨量為基礎之猴山岳邊坡警戒系統〔碩士論文,國立臺北科技大學〕。華藝線上圖書館。https://doi.org/10.6841/NTUT.2013.00135
黃孟璇(2015)。降雨誘發之坡地崩塌潛勢評估〔碩士論文,長榮大學〕。華藝線上圖書館。https://doi.org/10.6833/CJCU.2015.00052
王宣惠(2009)。花蓮地區土砂潛勢災害風險評估模式建置之研究〔碩士論文,長榮大學〕。華藝線上圖書館。https://doi.org/10.6833/CJCU.2009.00115
周欽源(2015)。老佛野溪土砂災害整治效益探討〔碩士論文,國立屏東科技大學〕。華藝線上圖書館。https://doi.org/10.6346/NPUST.2015.00263

延伸閱讀