Modeling regional landslide susceptibility using dynamic soil moisture profiles

作     者：RAY Ram L JACOBS Jennifer M DOUGLAS Ellen M 

作者机构：Cooperative Agricultural Research Center College of Agriculture and Human Sciences Prairie View A&M University Department of Civil Engineering University of New Hampshire Environmental Earth and Ocean Sciences Department University of Massachusetts Boston 

出 版 物：《Journal of Mountain Science》 (山地科学学报（英文）)

年 卷 期：2018年第15卷第8期

页      面：1807-1824页

核心收录：

学科分类：0709[理学-地质学] 0819[工学-矿业工程] 09[农学] 0303[法学-社会学] 0708[理学-地球物理学] 0818[工学-地质资源与地质工程] 0705[理学-地理学] 0815[工学-水利工程] 0706[理学-大气科学] 0816[工学-测绘科学与技术] 0813[工学-建筑学] 0704[理学-天文学] 0833[工学-城乡规划学] 0713[理学-生态学] 0834[工学-风景园林学（可授工学、农学学位）] 

基　　金：NASA’s research funding through Earth System Science Fellowship  Grant No: NNG05GP66H  for this research 

主　　题：Landslide susceptibility Vadose zone Soil moisture Infiltration capacity VIC-3L Groundwater 

摘      要：A landslide susceptibility mapping study was performed using dynamic hillslope hydrology. The modified infinite slope stability model that directly includes vadose zone soil moisture(SM) was applied at Cleveland Corral, California, US and Krishnabhir, Dhading, Nepal. The variable infiltration capacity(VIC-3L) model simulated vadose zone soil moisture and the wetness index hydrologic model simulated groundwater(GW). The GW model predictions had a 75% NASH-Sutcliffe efficiency when compared to California s in-situ GW measurements. The model performed best during the wet season. Using predicted GW and VIC-3L vadose zone SM, the developed landslide susceptibility maps showed very good agreement with mapped landslides at each study region. Previous quasi-dynamic model predictions of Nepal s hazardous areas during extreme rainfall events were enhanced to improve the spatial characterization and provide the timing of hazardous conditions.