干旱区生态环境知识资源中心(Arid): Gully erosion susceptibility mapping using GIS-based multi-criteria decision analysis techniques

Arid

DOI	10.1016/j.catena.2019.04.032
	Gully erosion susceptibility mapping using GIS-based multi-criteria decision analysis techniques
	Arabameri, Alireza 1; Pradhan, Biswajeet 2,3; Rezaei, Khalil 4; Conoscenti, Christian 5
通讯作者	Arabameri, Alireza ; Pradhan, Biswajeet
来源期刊	CATENA
ISSN	0341-8162
EISSN	1872-6887
出版年	2019
卷号	180 页码:282-297
英文摘要	This research introduces a scientific methodology for gully erosion susceptibility mapping (GESM) that employs geography information system (GIS)-based multi-criteria decision analysis. The model was tested in Semnan Province, Iran, which has an arid and semi-arid climate with high susceptibility to gully erosion. The technique for order of preference by similarity to ideal solution (TOPSIS) and the analytic hierarchy process (AHP) multi criteria decision-making (MCDM) models were integrated. The important aspect of this research is that it did not require gully erosion inventory maps for GESM. Therefore, the proposed methodology could be useful in areas with missing or incomplete data. Fifteen variables reflecting topographic, hydrologic, geologic, environmental and soil characteristics were selected as proxies for gully erosion conditioning factors (GECFs). The experiment was conducted using 200 sample points that were selected randomly in the study area, and the weights of criteria (GECFs) were obtained using the AHP model. In the next step, the TOPSIS model was applied, and the weight of each alternative (sample points) was obtained. Kriging and inverse distance-weighted (IDW) methods were used for interpolation and GESM. Natural break method was used for classifying gully erosion susceptibility into five classes, from very low to very high. The area under the ROC curve (AUC) was used for validation. AHP results showed that distance to stream (0.14), slope degree (0.13) and distance to road (0.12) played major roles in controlling gully erosion in the study area. The values of points obtained by using the TOPSIS model ranged from 0.321 to 0.808. Verification results showed that kriging had higher prediction accuracy than IDW. The GESM results obtained by this methodology can be used by decision makers and managers to plan preventive measures and reduce damages due to gully erosion.
英文关键词	Gully erosion Susceptibility GIS MCDM TOPSIS AHP
类型	Article
语种	英语
国家	Iran ; Australia ; South Korea ; Italy
收录类别	SCI-E
WOS记录号	WOS:000472244900026
WOS关键词	ANALYTICAL HIERARCHY PROCESS ; SOIL-EROSION ; LOGISTIC-REGRESSION ; HILLSLOPE EROSION ; HAZARD ASSESSMENT ; CHECK DAMS ; SELECTION ; TOPSIS ; BIVARIATE ; ENSEMBLE
WOS类目	Geosciences, Multidisciplinary ; Soil Science ; Water Resources
WOS研究方向	Geology ; Agriculture ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/214846
作者单位	1.Tarbiat Modares Univ, Dept Geomorphol, Tehran 3658117994, Iran; 2.Univ Technol Sydney, Fac Engn & IT, CAMGIS, Ultimo, NSW 2007, Australia; 3.Sejong Univ, Dept Energy & Mineral Resources Engn, 209 Neungdong Ro, Seoul 05006, South Korea; 4.Kharazmi Univ, Fac Earth Sci, Tehran 1491115719, Iran; 5.Univ Palermo, Dept Earth & Marine Sci DISTEM, Palermo, Italy
推荐引用方式 GB/T 7714	Arabameri, Alireza,Pradhan, Biswajeet,Rezaei, Khalil,et al. Gully erosion susceptibility mapping using GIS-based multi-criteria decision analysis techniques[J],2019,180:282-297.
APA	Arabameri, Alireza,Pradhan, Biswajeet,Rezaei, Khalil,&Conoscenti, Christian.(2019).Gully erosion susceptibility mapping using GIS-based multi-criteria decision analysis techniques.CATENA,180,282-297.
MLA	Arabameri, Alireza,et al."Gully erosion susceptibility mapping using GIS-based multi-criteria decision analysis techniques".CATENA 180(2019):282-297.