Comparing the effectiveness of landslide susceptibility mapping by using the frequency ratio and hybrid MCDM models
The present study involved the landslide susceptibility mapping of Indian state of Meghalaya by using the frequency ratio (FR) and Analytical Hierarchy Process (AHP)- VlseKriterijuska Optimizacija I Komoromisno Resenje (VIKOR) (AHP-VIKOR), and the outcomes were validated and compared. Therefore, fou...
Saved in:
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-12-01
|
| Series: | Results in Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123024014609 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850112373607628800 |
|---|---|
| author | Jonmenjoy Barman Syed Sadath Ali Teachersunday Nongrem Brototi Biswas K. Srinivasa Rao Malay Pramanik Fahdah Falah Ben Hasher Mohamed Zhran |
| author_facet | Jonmenjoy Barman Syed Sadath Ali Teachersunday Nongrem Brototi Biswas K. Srinivasa Rao Malay Pramanik Fahdah Falah Ben Hasher Mohamed Zhran |
| author_sort | Jonmenjoy Barman |
| collection | DOAJ |
| description | The present study involved the landslide susceptibility mapping of Indian state of Meghalaya by using the frequency ratio (FR) and Analytical Hierarchy Process (AHP)- VlseKriterijuska Optimizacija I Komoromisno Resenje (VIKOR) (AHP-VIKOR), and the outcomes were validated and compared. Therefore, fourteen landslide conditioning factors were selected after a multi-collinearity test by tolerance and variance Inflation Factor. Based on 70 % of the training data, the relative frequency and predictive rate value was used to generate final output. In opposite, the overall ranking was used to generate landslide susceptibility map (LSM) for the AHP-VIKOR model. Subsequently, the generated LSM was classified into five hierarchical zones from very low to very high based on the natural breaking classification. The area under the curve of receiver operating characteristics from 30 % of validation landslides shown more predictive accuracy of AHP-VIKOR model than FR model under similar geo-environmental condition. The spatial distribution of landslide susceptibility zones shows that 37 % of the region under the threat of having a high landslip risk. Landslides are primarily found in barren Cretaceous sedimentary rocks, with increased risk near roadsides. This is due to slope cutting for roads, making hilly terrain unstable. Areas with more annual rainfall face greater landslide threats. Therefore, the outcome of the study may contain the useful information that helps the local administration to recognize vulnerability of landslides as well as to take up the hazard mitigative measures. |
| format | Article |
| id | doaj-art-abc29d214e9b4c26bd21b76539826fec |
| institution | OA Journals |
| issn | 2590-1230 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Results in Engineering |
| spelling | doaj-art-abc29d214e9b4c26bd21b76539826fec2025-08-20T02:37:24ZengElsevierResults in Engineering2590-12302024-12-012410320510.1016/j.rineng.2024.103205Comparing the effectiveness of landslide susceptibility mapping by using the frequency ratio and hybrid MCDM modelsJonmenjoy Barman0Syed Sadath Ali1Teachersunday Nongrem2Brototi Biswas3K. Srinivasa Rao4Malay Pramanik5Fahdah Falah Ben Hasher6Mohamed Zhran7Department of Geography and Resource Management, Mizoram University, Aizawl 796004, IndiaBallari Institute of Technology and Management, Ballari, IndiaDepartment of Geology, Mizoram University, Aizawl 796004, IndiaDepartment of Geography and Resource Management, Mizoram University, Aizawl 796004, IndiaDepartment of Geology, Mizoram University, Aizawl 796004, IndiaDepartment of Development and Sustainability, Asian Institute of Technology (AIT), PO. Box 4, Klong Luang, Pathumthani 12120, ThailandDepartment of Geography and Environmental Sustainability, College of Humanities and Social Sciences, Princess Nourah bint Abdulrahman University, P.O. BOX 84428, Riyadh 11671, Saudi ArabiaPublic Works Engineering Department, Faculty of Engineering, Mansoura University, Mansoura 35516, Egypt; Corresponding author.The present study involved the landslide susceptibility mapping of Indian state of Meghalaya by using the frequency ratio (FR) and Analytical Hierarchy Process (AHP)- VlseKriterijuska Optimizacija I Komoromisno Resenje (VIKOR) (AHP-VIKOR), and the outcomes were validated and compared. Therefore, fourteen landslide conditioning factors were selected after a multi-collinearity test by tolerance and variance Inflation Factor. Based on 70 % of the training data, the relative frequency and predictive rate value was used to generate final output. In opposite, the overall ranking was used to generate landslide susceptibility map (LSM) for the AHP-VIKOR model. Subsequently, the generated LSM was classified into five hierarchical zones from very low to very high based on the natural breaking classification. The area under the curve of receiver operating characteristics from 30 % of validation landslides shown more predictive accuracy of AHP-VIKOR model than FR model under similar geo-environmental condition. The spatial distribution of landslide susceptibility zones shows that 37 % of the region under the threat of having a high landslip risk. Landslides are primarily found in barren Cretaceous sedimentary rocks, with increased risk near roadsides. This is due to slope cutting for roads, making hilly terrain unstable. Areas with more annual rainfall face greater landslide threats. Therefore, the outcome of the study may contain the useful information that helps the local administration to recognize vulnerability of landslides as well as to take up the hazard mitigative measures.http://www.sciencedirect.com/science/article/pii/S2590123024014609Landslide susceptibilityFrequency ratioHybrid modelMeghalaya plateau |
| spellingShingle | Jonmenjoy Barman Syed Sadath Ali Teachersunday Nongrem Brototi Biswas K. Srinivasa Rao Malay Pramanik Fahdah Falah Ben Hasher Mohamed Zhran Comparing the effectiveness of landslide susceptibility mapping by using the frequency ratio and hybrid MCDM models Results in Engineering Landslide susceptibility Frequency ratio Hybrid model Meghalaya plateau |
| title | Comparing the effectiveness of landslide susceptibility mapping by using the frequency ratio and hybrid MCDM models |
| title_full | Comparing the effectiveness of landslide susceptibility mapping by using the frequency ratio and hybrid MCDM models |
| title_fullStr | Comparing the effectiveness of landslide susceptibility mapping by using the frequency ratio and hybrid MCDM models |
| title_full_unstemmed | Comparing the effectiveness of landslide susceptibility mapping by using the frequency ratio and hybrid MCDM models |
| title_short | Comparing the effectiveness of landslide susceptibility mapping by using the frequency ratio and hybrid MCDM models |
| title_sort | comparing the effectiveness of landslide susceptibility mapping by using the frequency ratio and hybrid mcdm models |
| topic | Landslide susceptibility Frequency ratio Hybrid model Meghalaya plateau |
| url | http://www.sciencedirect.com/science/article/pii/S2590123024014609 |
| work_keys_str_mv | AT jonmenjoybarman comparingtheeffectivenessoflandslidesusceptibilitymappingbyusingthefrequencyratioandhybridmcdmmodels AT syedsadathali comparingtheeffectivenessoflandslidesusceptibilitymappingbyusingthefrequencyratioandhybridmcdmmodels AT teachersundaynongrem comparingtheeffectivenessoflandslidesusceptibilitymappingbyusingthefrequencyratioandhybridmcdmmodels AT brototibiswas comparingtheeffectivenessoflandslidesusceptibilitymappingbyusingthefrequencyratioandhybridmcdmmodels AT ksrinivasarao comparingtheeffectivenessoflandslidesusceptibilitymappingbyusingthefrequencyratioandhybridmcdmmodels AT malaypramanik comparingtheeffectivenessoflandslidesusceptibilitymappingbyusingthefrequencyratioandhybridmcdmmodels AT fahdahfalahbenhasher comparingtheeffectivenessoflandslidesusceptibilitymappingbyusingthefrequencyratioandhybridmcdmmodels AT mohamedzhran comparingtheeffectivenessoflandslidesusceptibilitymappingbyusingthefrequencyratioandhybridmcdmmodels |