GIS Supported Landslide Susceptibility Modeling at Regional Scale: An Expert-Based Fuzzy Weighting Method

被引：38

作者：

Chalkias, Christos ^{[1
]}

Ferentinou, Maria ^{[2
]}

Polykretis, Christos ^{[1
]}

机构：

[1] Harokopio Univ, Dept Geog, Athens 17671, Greece

[2] Univ KwaZulu Natal, Dept Geol Sci, Westville, South Africa

来源：

ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION | 2014年 / 3卷 / 02期

关键词：

landslide susceptibility modeling; expert-based fuzzy weighting; GIS; Peloponnese; Greece; ANALYTICAL HIERARCHY PROCESS; MULTICRITERIA DECISION; BIVARIATE STATISTICS; LOGISTIC-REGRESSION; TURKEY; INFORMATION; HAZARD; RATIO; FAULT; PART;

D O I：

10.3390/ijgi3020523

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The main aim of this paper is landslide susceptibility assessment using fuzzy expert-based modeling. Factors that influence landslide occurrence, such as elevation, slope, aspect, lithology, land cover, precipitation and seismicity were considered. Expert-based fuzzy weighting (EFW) approach was used to combine these factors for landslide susceptibility mapping (Peloponnese, Greece). This method produced a landslide susceptibility map of the investigated area. The landslides under investigation have more or less same characteristics: lateral based and downslope shallow movement of soils or rocks. The validation of the model reveals, that predicted susceptibility levels are found to be in good agreement with the past landslide occurrences. Hence, the obtained landslide susceptibility map could be acceptable, for landslide hazard prevention and mitigation at regional scale.

引用

页码：523 / 539

页数：17

共 67 条

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