Comparative analysis of landslide susceptibility evaluation models based on coefficient of determination method：A case study of Baoshan Basin, Yunnan Province
As urbanization continues to progress in the Baoshan Basin, geological conditions have deteriorated and leading to frequent landslide natural hazards. To provide prevention and control recommendations, landslide susceptibility assessment was carried out in the study area. Nine evaluation factors, in...
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Editorial Office of The Chinese Journal of Geological Hazard and Control
2025-02-01
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| Series: | Zhongguo dizhi zaihai yu fangzhi xuebao |
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| Online Access: | https://www.zgdzzhyfzxb.com/en/article/doi/10.16031/j.cnki.issn.1003-8035.202306021 |
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| author | Yubo CHEN Shiguang XU Mengrui CHEN |
| author_facet | Yubo CHEN Shiguang XU Mengrui CHEN |
| author_sort | Yubo CHEN |
| collection | DOAJ |
| description | As urbanization continues to progress in the Baoshan Basin, geological conditions have deteriorated and leading to frequent landslide natural hazards. To provide prevention and control recommendations, landslide susceptibility assessment was carried out in the study area. Nine evaluation factors, including elevation, slope, slope direction, normalized vegetation cover (NDVI), engineering geological rock group, distance from roads, distance from faults, distance from water systems, and density of disaster sites, were selected based on the regional geological background, human activities and disaster development characteristics. Four models were established: deterministic coefficient method (CF), the coupled model of deterministic coefficient method and hierarchical analysis method (CF-AHP), the coupled model of deterministic coefficient method and index of entropy method (CF-IOE), and the coupled model of deterministic coefficient method and distance function-combined weights method (CF-AHP-IOE). The results show that the hazard density and frequency ratios of CF, CF-AHP, CF-IOE, and CF-AHP-IOE models landslide susceptibility grading have significantly increased, effectively assessing the landslide susceptibility in the study area. The AUC values of the three models were 0.890, 0.911, 0.921, and 0.916, respectively, indicating higher evaluation accuracy for the coupled models. Among them, the CF-AHP-IOE model has a ratio of disaster frequency and disaster quantity exceeding 90% in the extremely high susceptibility zone, demonstrating a more reasonable weighting approach. The study can provide preemptive recommendations for the urbanization process in the Baoshan Basin. |
| format | Article |
| id | doaj-art-a2642f1e8d3d4fab9fe592ab82be7a1b |
| institution | DOAJ |
| issn | 1003-8035 |
| language | zho |
| publishDate | 2025-02-01 |
| publisher | Editorial Office of The Chinese Journal of Geological Hazard and Control |
| record_format | Article |
| series | Zhongguo dizhi zaihai yu fangzhi xuebao |
| spelling | doaj-art-a2642f1e8d3d4fab9fe592ab82be7a1b2025-08-20T03:21:32ZzhoEditorial Office of The Chinese Journal of Geological Hazard and ControlZhongguo dizhi zaihai yu fangzhi xuebao1003-80352025-02-0136111913010.16031/j.cnki.issn.1003-8035.202306021202306021Comparative analysis of landslide susceptibility evaluation models based on coefficient of determination method：A case study of Baoshan Basin, Yunnan ProvinceYubo CHEN0Shiguang XU1Mengrui CHEN2School of Public Safety and Emergency Management, Kunming University of Science and Technology, Kunming, Yunnan 650093, ChinaSchool of Public Safety and Emergency Management, Kunming University of Science and Technology, Kunming, Yunnan 650093, ChinaSchool of Land and Resources Engineering, Kunming University of Science and Technology, Kunming, Yunnan 650000, ChinaAs urbanization continues to progress in the Baoshan Basin, geological conditions have deteriorated and leading to frequent landslide natural hazards. To provide prevention and control recommendations, landslide susceptibility assessment was carried out in the study area. Nine evaluation factors, including elevation, slope, slope direction, normalized vegetation cover (NDVI), engineering geological rock group, distance from roads, distance from faults, distance from water systems, and density of disaster sites, were selected based on the regional geological background, human activities and disaster development characteristics. Four models were established: deterministic coefficient method (CF), the coupled model of deterministic coefficient method and hierarchical analysis method (CF-AHP), the coupled model of deterministic coefficient method and index of entropy method (CF-IOE), and the coupled model of deterministic coefficient method and distance function-combined weights method (CF-AHP-IOE). The results show that the hazard density and frequency ratios of CF, CF-AHP, CF-IOE, and CF-AHP-IOE models landslide susceptibility grading have significantly increased, effectively assessing the landslide susceptibility in the study area. The AUC values of the three models were 0.890, 0.911, 0.921, and 0.916, respectively, indicating higher evaluation accuracy for the coupled models. Among them, the CF-AHP-IOE model has a ratio of disaster frequency and disaster quantity exceeding 90% in the extremely high susceptibility zone, demonstrating a more reasonable weighting approach. The study can provide preemptive recommendations for the urbanization process in the Baoshan Basin.https://www.zgdzzhyfzxb.com/en/article/doi/10.16031/j.cnki.issn.1003-8035.202306021geological hazard susceptibility assessmentdeterministic coefficient methodhierarchical analysis methodentropy index methoddistance function-combination weighting method |
| spellingShingle | Yubo CHEN Shiguang XU Mengrui CHEN Comparative analysis of landslide susceptibility evaluation models based on coefficient of determination method：A case study of Baoshan Basin, Yunnan Province Zhongguo dizhi zaihai yu fangzhi xuebao geological hazard susceptibility assessment deterministic coefficient method hierarchical analysis method entropy index method distance function-combination weighting method |
| title | Comparative analysis of landslide susceptibility evaluation models based on coefficient of determination method：A case study of Baoshan Basin, Yunnan Province |
| title_full | Comparative analysis of landslide susceptibility evaluation models based on coefficient of determination method：A case study of Baoshan Basin, Yunnan Province |
| title_fullStr | Comparative analysis of landslide susceptibility evaluation models based on coefficient of determination method：A case study of Baoshan Basin, Yunnan Province |
| title_full_unstemmed | Comparative analysis of landslide susceptibility evaluation models based on coefficient of determination method：A case study of Baoshan Basin, Yunnan Province |
| title_short | Comparative analysis of landslide susceptibility evaluation models based on coefficient of determination method：A case study of Baoshan Basin, Yunnan Province |
| title_sort | comparative analysis of landslide susceptibility evaluation models based on coefficient of determination method a case study of baoshan basin yunnan province |
| topic | geological hazard susceptibility assessment deterministic coefficient method hierarchical analysis method entropy index method distance function-combination weighting method |
| url | https://www.zgdzzhyfzxb.com/en/article/doi/10.16031/j.cnki.issn.1003-8035.202306021 |
| work_keys_str_mv | AT yubochen comparativeanalysisoflandslidesusceptibilityevaluationmodelsbasedoncoefficientofdeterminationmethodacasestudyofbaoshanbasinyunnanprovince AT shiguangxu comparativeanalysisoflandslidesusceptibilityevaluationmodelsbasedoncoefficientofdeterminationmethodacasestudyofbaoshanbasinyunnanprovince AT mengruichen comparativeanalysisoflandslidesusceptibilityevaluationmodelsbasedoncoefficientofdeterminationmethodacasestudyofbaoshanbasinyunnanprovince |