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DOI10.1007/s11069-021-04718-5
GIS-based landslide susceptibility mapping using hybrid MCDM models
Salehpour Jam A.; Mosaffaie J.; Sarfaraz F.; Shadfar S.; Akhtari R.
发表日期2021
ISSN0921030X
起始页码1025
结束页码1046
卷号108期号:1
英文摘要Landslide susceptibility mapping plays an important role in integrated watershed management planning, especially in the field of land-use planning in landslide-prone areas. This study aims to evaluate the performance of widely used hybrid multi-criteria decision-making (MCDM) models including the integrated index method (IIM), AHP-TOPSIS, and AHP-VIKOR to produce landslide susceptibility maps (LSMs) in the Alamut watershed, Iran. Ten causal layers including slope angle, slope aspect, rainfall, lithology, altitude, land use, and the most common distance maps including distance to fault, distance to stream, and distance to road were used to produce LSMs. Meanwhile, the landslide distribution map was used to evaluate the accuracy of the produced LSMs. The weights of the causal factors were also calculated using the analytic hierarchy process (AHP) method based on the viewpoints of 14 experts. Finally, the quality sum (Qs) index as well as the receiver operating characteristic (ROC) curves were used to validate the performance of the MCDM models. The Qs values for AHP-TOPSIS, IIM, and AHP-VIKOR were calculated 0.355, 0.903, and 0.703, respectively. Therefore, IIM and AHP-VIKOR methods are more efficient than AHP-TOPSIS to create LSM. The area under the curve (AUC) values of the ROC curves for AHP-TOPSIS, IIM, and AHP-VIKOR were calculated 0.784, 0.853, and 0.844, respectively. Therefore, the accuracy of the MCDM models is acceptable for TOPSIS and excellent for IIM and AHP-VIKOR. In general, results of the performance assessment of MCDM models indicated the good performance of the models to produce LSMs, so that the IIM was introduced as the best model. Also, the performance of IIM and AHP-VIKOR are more than the AHP-TOPSIS model to produce LSMs. Overall, the application of the AHP method in combination with other MCDM models as a hybrid model to produce LSMs is recommended under the principles of group decision-making in AHP for land-use planning and landslide risk management. © 2021, The Author(s), under exclusive licence to Springer Nature B.V.
关键词Causal factorsConsistency ratioGroup decision-makingHybrid MCDM methodsSlope instability
语种英语
来源期刊Natural Hazards
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/206539
作者单位Agricultural Research, Education and Extension Organization (AREEO), Soil Conservation and Watershed Management Research Institute (SCWMRI), Asheri St. 10Th Km of Karaj Special Rd., Shafiyi St, Tehran, 1389817611, Iran; Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Qazvin, Iran
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Salehpour Jam A.,Mosaffaie J.,Sarfaraz F.,et al. GIS-based landslide susceptibility mapping using hybrid MCDM models[J],2021,108(1).
APA Salehpour Jam A.,Mosaffaie J.,Sarfaraz F.,Shadfar S.,&Akhtari R..(2021).GIS-based landslide susceptibility mapping using hybrid MCDM models.Natural Hazards,108(1).
MLA Salehpour Jam A.,et al."GIS-based landslide susceptibility mapping using hybrid MCDM models".Natural Hazards 108.1(2021).
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