东篱科研大数据发现系统（DRDS）

位置：成果数据库 > 期刊 > 期刊详情页

Regional Scale Rainfall- and Earthquake-triggered Landslide Susceptibility Assessment in Wudu County, China

ISSN号：1000-0690
期刊名称：《地理科学》
时间：0
分类：P642.22[天文地球—工程地质学;天文地球—地质矿产勘探;天文地球—地质学] TE258[石油与天然气工程—油气井工程]
作者机构：[1]College of Geographical Sciences, Key Laboratory of Virtual Geographic Environments (National EducationAdministration), Nanjing Normal University, Nanjing 21o046, China
相关基金：supported by the National Natural Science Foundation of China (Grant No.40930531);the National Key Technology R & D Program (Grant No. 2011BAK12B06);the Opening Fund of State Key Laboratory of Geohazard Prevention and Geoenvironment Protection of Chengdu University of Technology (SKLGP2012K012);the Priority Academic Program Development of Jiangsu Higher Education Institutions, and the 51st Chinese PostDoc Science Foundation (Grant No. 2012M511298)

作者： BAI Shi-biao CHENG Chen WANG Jian Benni THIEBES ZHANG Zhi-gang[1]

关键词：敏感性评价, 山体滑坡, 中国西北部, 武都县, 地震, 引发, 降雨, 区域尺度, Landslides, Susceptibility assessment, Earthquake, Wudu County, China

中文摘要：

在西北的中国的 Wudu 县经常经历大规模山崩事件。高大小的地震和重降雨事件是在这个区域的主要被触发因素。这研究的目的是用地理信息系统(GIS ) 和一个逻辑回归模型在学习区域比较并且联合对被触发降雨、被触发地震的山崩事件的山崩危险性评价。二张分开的危险性地图用反映单个被触发山崩的事件的库存被生产，即，地震和大雨暴风雨。二组山崩被利用：包含在 1995 和 2003 之间的极端降雨事件触发的所有山崩的一个组和包含斜坡失败的另外的组由 2008 Wenchuan 地震引起了。随后，单个地图被联合说明最大的山崩概率的地点。三山崩危险性为山崩印射预报的结果的使用，空间计划并且为开发紧急情况反应，行动被讨论。联合危险性地图在学习区域说明全部的山崩危险性。

英文摘要：

Wudu County in northwestern China frequently experiences large-scale landslide events. High-magnitude earthquakes and heavy rainfall events are the major triggering factors in the region. The aim of this research is to compare and combine landslide suseeptibility assessments of rainfall- triggered and earthquake-triggered landslide events in the study area using Geographical Information System （GIS） and a logistic regression model. Two separate susceptibility maps were produeed using inventories reflecting single landslide-triggering events, i.e., earthquakes and heavy rain storms. Two groups of landslides were utilized： one group eontaining all landslides triggered by extreme rainfall events between 1995 and 2003 and the other group containing slope failures caused by the 2008 Wenchuan earthquake. Subsequently, the individual maps were combined to illustrate the loeations of maximum landslide probability. The use of the resulting three landslide susceptibility maps for landslide forecasting, spatial planning and for developing emergency response actions are discussed. The eombined susceptibility map illustrates the total landslide susceptibility in the study area.

同期刊论文项目