DocumentCode
143630
Title
Risk evaluation of Karst collapse using GIS and RS
Author
Guoqing Zhou ; Sunan He ; Kunhua Chen ; Hongbo Yan
Author_Institution
GuangXi Key Lab. for Spatial Inf. & Geomatics Eng., Guilin Univ. of Technol. Guilin, Guilin, China
fYear
2014
fDate
13-18 July 2014
Firstpage
3089
Lastpage
3092
Abstract
This article extracts and analyzes disaster information by using GIS and RS technology. It determines the weights by using the Analytic Hierarchy Process (AHP), and it constructs risk evaluation model to do risk evaluation of geological disasters. In this paper, Lai bin, Jili of Guangxi Province is selected as an example to evaluate the risk of Karst collapse because of its strong karst landform. This paper obtains karst collapse geological hazards risk zoning by using GIS and RS technology for the first time. Through analyzing the geological environment in the study area, it selects 10 evaluation factors to evaluate the risk of Karst collapse. At last, it gets the zoning evaluation map. The evaluation result is consistent with the actual situation in the study area, and it provides reference data to the economic development as well as for the prevention of karst collapse.
Keywords
analytic hierarchy process; disasters; geographic information systems; geology; remote sensing; risk management; terrain mapping; GIS technology; Guangxi Province; Jili; Lai bin; RS technology; analytic hierarchy process; economic development; evaluation factors; geological disaster information; geological environment; karst collapse geological hazard risk zoning evaluation map; karst collapse prevention; risk evaluation model; strong karst landform; Data mining; Geographic information systems; Hazards; Remote sensing; Rocks; Terrain factors; Analytic Hierarchy Process (AHP); GIS; Hazard evaluation; Karst collapse; RS;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location
Quebec City, QC
Type
conf
DOI
10.1109/IGARSS.2014.6947130
Filename
6947130
Link To Document