Determining Areas Prone to the Occurrence of Landslides in the Nir-Sarab Communication Route

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Abedini Mousa; Piroozi Elnaz

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Journal Paper

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Journal: Geography and Development Year:2024 | Volume: | Issue: Page(s): 82-110

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Information Journal Paper

Title

Determining Areas Prone to the Occurrence of Landslides in the Nir-Sarab Communication Route

Author(s)

Abedini Mousa | Piroozi Elnaz | Issue Writer Certificate

Keywords

Mass movementQ4

HazardQ4

GISQ4

ROCQ4

Nair-Sarab roadQ4

Potential occurrenceQ4

Abstract

Nir-Sarab communication Route; Due to special geological, climatic, geomorphological features and human activities, it has been affected by landslides for a long time. Therefore, according to the importance of the subject, the current research aims to evaluate the risk of landslides in this communication route by producing risk zoning maps and comparing two multi-criteria decision-making models, MARCOS and CODAS. For this purpose, first by examining research sources related to the subject, some of the most important factors affecting the occurrence of this phenomenon include; Height, slope, direction, lithology, land use, distance from the fault, distance from the road, distance from the river and precipitation were prepared as independent variables. Valuation and standardization of the layers were done by using the fuzzy membership function and weighting of the criteria, using the CRITIC method. Finally, modeling was done using MARCOS and CODAS multi-criteria decision-making methods. The results of the study showed, respectively; The factors of the slope, land use, and lithology have the greatest influence on the occurrence of landslides in the region with weight coefficients of 0.176, 0.152, and 0.124, respectively. According to the output of the CODAS method, respectively; 121.25 and 187.96 square kilometers of the range area, and according to the results of applying the MARCOS method, 85.32 and 201.76 square kilometers of the range area are in high-risk and very high-risk categories. Validation of the used multi-criteria decision-making methods, using the ROC curve method, very good accuracy of the CODAS method, with an area under the curve of 0.76, and excellent accuracy of the MARCOS method, with an area under the curve of 0.87, is an expression.

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