Landslides susceptibility mapping using fuzzy logic and AHP
Landslide, due to its dangerous nature in mountainous areas, usually causes morphology to suddenly collapse and causes major damage to residential areas, roads, agricultural lands, and so on. In this study, using the AHP model and fuzzy logic operators, we evaluated and zoned the landslide sensitivi...
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Kharazmi University
2018-03-01
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| Series: | تحقیقات کاربردی علوم جغرافیایی |
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| Online Access: | http://jgs.khu.ac.ir/article-1-2646-en.pdf |
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| author | Malihe Mohammadnia GholamAbbas Fallah |
| author_facet | Malihe Mohammadnia GholamAbbas Fallah |
| author_sort | Malihe Mohammadnia |
| collection | DOAJ |
| description | Landslide, due to its dangerous nature in mountainous areas, usually causes morphology to suddenly collapse and causes major damage to residential areas, roads, agricultural lands, and so on. In this study, using the AHP model and fuzzy logic operators, we evaluated and zoned the landslide sensitivity in the Pseudogene basin in Razavi Khorasan province. The eight main criteria of elevation, slope, tilt direction, distance from the waterway, distance from the road, distance from the fault, geology and land use associated with the occurrence of landslide phenomena were examined in total. The sub-criteria were weighted and fuzzy using the Frequency Ratio Model. The weight of the criteria was also determined using the AHP model. Then the landslide susceptibility map was prepared using fuzzy operators 9 / 0.8 / 0 and 0.7 and verified using the ROC curve. The results showed that the gradient factor had the most effect and land use factor had the least effect on the occurrence of slip in the basin. Validation results of the model showed a 90% accuracy of the landslide sensitivity map with a 0.7% operator in the basin. Therefore, the fuzzy gamma model with the 7th operator provides the best form of landslide susceptibility map in the Pseudogene basin. |
| format | Article |
| id | doaj-art-f84b2579ed28426abdd4986c6f1fb340 |
| institution | Kabale University |
| issn | 2228-7736 2588-5138 |
| language | fas |
| publishDate | 2018-03-01 |
| publisher | Kharazmi University |
| record_format | Article |
| series | تحقیقات کاربردی علوم جغرافیایی |
| spelling | doaj-art-f84b2579ed28426abdd4986c6f1fb3402025-01-31T17:24:18ZfasKharazmi Universityتحقیقات کاربردی علوم جغرافیایی2228-77362588-51382018-03-011848115130Landslides susceptibility mapping using fuzzy logic and AHPMalihe Mohammadnia0GholamAbbas Fallah1 Hakim Sabzevari university Hakim Sabzevari university Landslide, due to its dangerous nature in mountainous areas, usually causes morphology to suddenly collapse and causes major damage to residential areas, roads, agricultural lands, and so on. In this study, using the AHP model and fuzzy logic operators, we evaluated and zoned the landslide sensitivity in the Pseudogene basin in Razavi Khorasan province. The eight main criteria of elevation, slope, tilt direction, distance from the waterway, distance from the road, distance from the fault, geology and land use associated with the occurrence of landslide phenomena were examined in total. The sub-criteria were weighted and fuzzy using the Frequency Ratio Model. The weight of the criteria was also determined using the AHP model. Then the landslide susceptibility map was prepared using fuzzy operators 9 / 0.8 / 0 and 0.7 and verified using the ROC curve. The results showed that the gradient factor had the most effect and land use factor had the least effect on the occurrence of slip in the basin. Validation results of the model showed a 90% accuracy of the landslide sensitivity map with a 0.7% operator in the basin. Therefore, the fuzzy gamma model with the 7th operator provides the best form of landslide susceptibility map in the Pseudogene basin.http://jgs.khu.ac.ir/article-1-2646-en.pdflandslidesensitivity zoningthe ahpfuzzy logicpyvhzhn basin. |
| spellingShingle | Malihe Mohammadnia GholamAbbas Fallah Landslides susceptibility mapping using fuzzy logic and AHP تحقیقات کاربردی علوم جغرافیایی landslide sensitivity zoning the ahp fuzzy logic pyvhzhn basin. |
| title | Landslides susceptibility mapping using fuzzy logic and AHP |
| title_full | Landslides susceptibility mapping using fuzzy logic and AHP |
| title_fullStr | Landslides susceptibility mapping using fuzzy logic and AHP |
| title_full_unstemmed | Landslides susceptibility mapping using fuzzy logic and AHP |
| title_short | Landslides susceptibility mapping using fuzzy logic and AHP |
| title_sort | landslides susceptibility mapping using fuzzy logic and ahp |
| topic | landslide sensitivity zoning the ahp fuzzy logic pyvhzhn basin. |
| url | http://jgs.khu.ac.ir/article-1-2646-en.pdf |
| work_keys_str_mv | AT malihemohammadnia landslidessusceptibilitymappingusingfuzzylogicandahp AT gholamabbasfallah landslidessusceptibilitymappingusingfuzzylogicandahp |