Regional landslide hazard assessment based on rough set

Author

Yanhua, Liu ; Guohua, Ye ; Weiqing, Chen

Author_Institution

Fac. of Resource & Environ. Sci., Guangxi Teachers Coll., Nanning, China

Volume

1

fYear

2010

fDate

29-31 Oct. 2010

Firstpage

795

Lastpage

799

Abstract

With rough set theory, the study area is divided into regular grid cells, landslide hazard assessment indexes system and geohazards knowledge representation system and decision table in study area are designed. On this basis, specific algorithms for assessment indexes system optimization and weights confirmation are constructed. So that landslide hazard quantitative scores are calculated,and landslide hazard gradation is classified, that is, high hazard, medium hazard, low hazard and very low hazard four grades. To achieve visualization of assessment results,GIS is used to accomplish zoning mapping. Comparison by information content model and field survey, the results of assessment are verified correct.

Keywords

decision tables; geographic information systems; geomorphology; geophysics computing; hazards; knowledge representation; optimisation; rough set theory; GIS; assessment indexes system optimization; geohazards knowledge representation system; grid cell; information content model; landslide hazard assessment indexes system; landslide hazard gradation; rough set theory; weights confirmation; zoning mapping; Cities and towns; Geology; Indexes; Rail transportation; Road transportation; Visualization; GIS; geologic hazard; hazard assessment; landslide; rough set;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on

Conference_Location

Xiamen

Print_ISBN

978-1-4244-6582-8

Type

conf

DOI

10.1109/ICICISYS.2010.5658796

Filename

5658796