Assessment and comparison of combined bivariate and AHP models with logistic regression for landslide susceptibility mapping in the Chaharmahal-e-Bakhtiari Province, Iran
Landslide is one of the most important natural hazards that make numerous financial damages and life losses each year in the worldwide. Identifying the susceptible areas and prioritizing them in order to provide an efficient susceptibility management is very vital. In current study, a comparative an...
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| Format: | Article |
| Language: | English |
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Springer Verlag
2016
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| Online Access: | http://psasir.upm.edu.my/id/eprint/55136/ http://psasir.upm.edu.my/id/eprint/55136/1/Assessment%20and%20comparison%20of%20combined%20bivariate%20and%20AHP%20models%20with%20logistic%20.pdf |
| _version_ | 1848852722532483072 |
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| author | Sangchini, Ebrahim Karimi Emami, Seyed Naim Tahmasebipour, Naser Pourghasemi, Hamid Reza Naghibi, Seyed Amir Arami, Seyed Abdolhossein Pradhan, Biswajeet |
| author_facet | Sangchini, Ebrahim Karimi Emami, Seyed Naim Tahmasebipour, Naser Pourghasemi, Hamid Reza Naghibi, Seyed Amir Arami, Seyed Abdolhossein Pradhan, Biswajeet |
| author_sort | Sangchini, Ebrahim Karimi |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Landslide is one of the most important natural hazards that make numerous financial damages and life losses each year in the worldwide. Identifying the susceptible areas and prioritizing them in order to provide an efficient susceptibility management is very vital. In current study, a comparative analysis was made between combined bivariate and AHP models (bivariate-AHP) with a logistic regression. At first, landslide inventory map of the study area was prepared using extensive field surveys and aerial photographs interpretation. In the next step, nine landslide causative factors were selected including altitude, slope percentage, slope aspect, lithology, distance from faults, streams and roads, land use, and precipitation which affect occurrence of the landslides in the study area. Subsequently, landslide susceptibility maps were produced using weighted (AHP) bivariate and logistic regression models. Finally, receiver operating characteristics (ROC) curve was used in order to evaluate the prediction capability of the mentioned models for landslide susceptibility mapping. According to the results, the combined bivariate and AHP models provided slightly higher prediction accuracy than logistic regression model. The combined bivariate and AHP, and logistic regression models had the area under the curve (AUC-ROC) values of 0.914, and 0.865, respectively. The resultant landslide susceptibility maps can be useful in appropriate watershed management practices and for sustainable development in the regions with similar conditions. |
| first_indexed | 2025-11-15T10:42:36Z |
| format | Article |
| id | upm-55136 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T10:42:36Z |
| publishDate | 2016 |
| publisher | Springer Verlag |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-551362018-08-13T08:09:53Z http://psasir.upm.edu.my/id/eprint/55136/ Assessment and comparison of combined bivariate and AHP models with logistic regression for landslide susceptibility mapping in the Chaharmahal-e-Bakhtiari Province, Iran Sangchini, Ebrahim Karimi Emami, Seyed Naim Tahmasebipour, Naser Pourghasemi, Hamid Reza Naghibi, Seyed Amir Arami, Seyed Abdolhossein Pradhan, Biswajeet Landslide is one of the most important natural hazards that make numerous financial damages and life losses each year in the worldwide. Identifying the susceptible areas and prioritizing them in order to provide an efficient susceptibility management is very vital. In current study, a comparative analysis was made between combined bivariate and AHP models (bivariate-AHP) with a logistic regression. At first, landslide inventory map of the study area was prepared using extensive field surveys and aerial photographs interpretation. In the next step, nine landslide causative factors were selected including altitude, slope percentage, slope aspect, lithology, distance from faults, streams and roads, land use, and precipitation which affect occurrence of the landslides in the study area. Subsequently, landslide susceptibility maps were produced using weighted (AHP) bivariate and logistic regression models. Finally, receiver operating characteristics (ROC) curve was used in order to evaluate the prediction capability of the mentioned models for landslide susceptibility mapping. According to the results, the combined bivariate and AHP models provided slightly higher prediction accuracy than logistic regression model. The combined bivariate and AHP, and logistic regression models had the area under the curve (AUC-ROC) values of 0.914, and 0.865, respectively. The resultant landslide susceptibility maps can be useful in appropriate watershed management practices and for sustainable development in the regions with similar conditions. Springer Verlag 2016-03 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/55136/1/Assessment%20and%20comparison%20of%20combined%20bivariate%20and%20AHP%20models%20with%20logistic%20.pdf Sangchini, Ebrahim Karimi and Emami, Seyed Naim and Tahmasebipour, Naser and Pourghasemi, Hamid Reza and Naghibi, Seyed Amir and Arami, Seyed Abdolhossein and Pradhan, Biswajeet (2016) Assessment and comparison of combined bivariate and AHP models with logistic regression for landslide susceptibility mapping in the Chaharmahal-e-Bakhtiari Province, Iran. Arabian Journal of Geosciences, 9 (201). pp. 1-15. ISSN 1866-7511; ESSN: 1866-7538 10.1007/s12517-015-2258-9 |
| spellingShingle | Sangchini, Ebrahim Karimi Emami, Seyed Naim Tahmasebipour, Naser Pourghasemi, Hamid Reza Naghibi, Seyed Amir Arami, Seyed Abdolhossein Pradhan, Biswajeet Assessment and comparison of combined bivariate and AHP models with logistic regression for landslide susceptibility mapping in the Chaharmahal-e-Bakhtiari Province, Iran |
| title | Assessment and comparison of combined bivariate and AHP models with logistic regression for landslide susceptibility mapping in the Chaharmahal-e-Bakhtiari Province, Iran |
| title_full | Assessment and comparison of combined bivariate and AHP models with logistic regression for landslide susceptibility mapping in the Chaharmahal-e-Bakhtiari Province, Iran |
| title_fullStr | Assessment and comparison of combined bivariate and AHP models with logistic regression for landslide susceptibility mapping in the Chaharmahal-e-Bakhtiari Province, Iran |
| title_full_unstemmed | Assessment and comparison of combined bivariate and AHP models with logistic regression for landslide susceptibility mapping in the Chaharmahal-e-Bakhtiari Province, Iran |
| title_short | Assessment and comparison of combined bivariate and AHP models with logistic regression for landslide susceptibility mapping in the Chaharmahal-e-Bakhtiari Province, Iran |
| title_sort | assessment and comparison of combined bivariate and ahp models with logistic regression for landslide susceptibility mapping in the chaharmahal-e-bakhtiari province, iran |
| url | http://psasir.upm.edu.my/id/eprint/55136/ http://psasir.upm.edu.my/id/eprint/55136/ http://psasir.upm.edu.my/id/eprint/55136/1/Assessment%20and%20comparison%20of%20combined%20bivariate%20and%20AHP%20models%20with%20logistic%20.pdf |