Landslide susceptibility assessment and attribution analysis in Yunnan Province based on weighted information value-logistic regression model
Landslide susceptibility assessment and attribution analysis of triggering factors are essential for regional risk management. However, existing methods face challenges such as subjectivity in determining factor weights and insufficient capacity to reveal the complex nonlinear mechanisms and causal...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2025-12-01
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| Series: | Geomatics, Natural Hazards & Risk |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/19475705.2025.2525428 |
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| author | Yilin Zhu Shuangyun Peng Zhiqiang Lin Bangmei Huang Ting Li Rui Zhang Rong Jin |
| author_facet | Yilin Zhu Shuangyun Peng Zhiqiang Lin Bangmei Huang Ting Li Rui Zhang Rong Jin |
| author_sort | Yilin Zhu |
| collection | DOAJ |
| description | Landslide susceptibility assessment and attribution analysis of triggering factors are essential for regional risk management. However, existing methods face challenges such as subjectivity in determining factor weights and insufficient capacity to reveal the complex nonlinear mechanisms and causal relationships of landslide occurrences. To address these issues, this study proposes a GeoDetector-based Weighted Information Value-Logistic Regression (WIV-LR) model for Yunnan Province, combined with the Geographical Convergent Cross Mapping (GCCM) method to explore the complex causal relationships between susceptibility and influencing factors. The results show that: (1) the WIV-LR model achieves high predictive accuracy (AUC = 0.886), effectively predicting landslide occurrences in Yunnan; (2) landslide susceptibility exhibits significant spatial heterogeneity, with very high and high susceptibility zones mainly distributed in western, central, and northeastern Yunnan, accounting for 41.14% of the total area; (3) GCCM reveals significant bidirectional causal relationships between elevation, slope, soil moisture, rainfall, and landslide susceptibility, while lithology and seismic magnitude show unidirectional causal relationships. Elevation, slope, and relief control the distribution of gravitational potential energy and serve as the main driving forces for landslides. This study provides a scientific basis for landslide risk assessment, targeted prevention, and disaster reduction planning in Yunnan and similar regions. |
| format | Article |
| id | doaj-art-0607321ec55c40a4b06fa0292b8f57df |
| institution | Kabale University |
| issn | 1947-5705 1947-5713 |
| language | English |
| publishDate | 2025-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Geomatics, Natural Hazards & Risk |
| spelling | doaj-art-0607321ec55c40a4b06fa0292b8f57df2025-08-20T03:29:18ZengTaylor & Francis GroupGeomatics, Natural Hazards & Risk1947-57051947-57132025-12-0116110.1080/19475705.2025.2525428Landslide susceptibility assessment and attribution analysis in Yunnan Province based on weighted information value-logistic regression modelYilin Zhu0Shuangyun Peng1Zhiqiang Lin2Bangmei Huang3Ting Li4Rui Zhang5Rong Jin6Department of Geography, Yunnan Normal University, Kunming, ChinaDepartment of Geography, Yunnan Normal University, Kunming, ChinaDepartment of Geography, Yunnan Normal University, Kunming, ChinaKunming No.10 High School, Kunming, ChinaDepartment of Geography, Yunnan Normal University, Kunming, ChinaDepartment of Geography, Yunnan Normal University, Kunming, ChinaDepartment of Geography, Yunnan Normal University, Kunming, ChinaLandslide susceptibility assessment and attribution analysis of triggering factors are essential for regional risk management. However, existing methods face challenges such as subjectivity in determining factor weights and insufficient capacity to reveal the complex nonlinear mechanisms and causal relationships of landslide occurrences. To address these issues, this study proposes a GeoDetector-based Weighted Information Value-Logistic Regression (WIV-LR) model for Yunnan Province, combined with the Geographical Convergent Cross Mapping (GCCM) method to explore the complex causal relationships between susceptibility and influencing factors. The results show that: (1) the WIV-LR model achieves high predictive accuracy (AUC = 0.886), effectively predicting landslide occurrences in Yunnan; (2) landslide susceptibility exhibits significant spatial heterogeneity, with very high and high susceptibility zones mainly distributed in western, central, and northeastern Yunnan, accounting for 41.14% of the total area; (3) GCCM reveals significant bidirectional causal relationships between elevation, slope, soil moisture, rainfall, and landslide susceptibility, while lithology and seismic magnitude show unidirectional causal relationships. Elevation, slope, and relief control the distribution of gravitational potential energy and serve as the main driving forces for landslides. This study provides a scientific basis for landslide risk assessment, targeted prevention, and disaster reduction planning in Yunnan and similar regions.https://www.tandfonline.com/doi/10.1080/19475705.2025.2525428Landslide susceptibility assessmentGeodetectorinformation valuelogistic regressioncausality |
| spellingShingle | Yilin Zhu Shuangyun Peng Zhiqiang Lin Bangmei Huang Ting Li Rui Zhang Rong Jin Landslide susceptibility assessment and attribution analysis in Yunnan Province based on weighted information value-logistic regression model Geomatics, Natural Hazards & Risk Landslide susceptibility assessment Geodetector information value logistic regression causality |
| title | Landslide susceptibility assessment and attribution analysis in Yunnan Province based on weighted information value-logistic regression model |
| title_full | Landslide susceptibility assessment and attribution analysis in Yunnan Province based on weighted information value-logistic regression model |
| title_fullStr | Landslide susceptibility assessment and attribution analysis in Yunnan Province based on weighted information value-logistic regression model |
| title_full_unstemmed | Landslide susceptibility assessment and attribution analysis in Yunnan Province based on weighted information value-logistic regression model |
| title_short | Landslide susceptibility assessment and attribution analysis in Yunnan Province based on weighted information value-logistic regression model |
| title_sort | landslide susceptibility assessment and attribution analysis in yunnan province based on weighted information value logistic regression model |
| topic | Landslide susceptibility assessment Geodetector information value logistic regression causality |
| url | https://www.tandfonline.com/doi/10.1080/19475705.2025.2525428 |
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