Geological hazard susceptibility assessment under land use change: a case study of Dongchuan District, Kunming, Yunnan, China
To quantitatively reveal the dynamic impact of land use change on the susceptibility to geologic hazards. Based on Landsat images from 2000 to 2020, the relationship between land use change and geological hazard susceptibility in Dongchuan District, Kunming City, Yunnan Province, China, was analyzed...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2025-12-01
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| Series: | Geocarto International |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/10106049.2025.2508438 |
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| _version_ | 1850225412213309440 |
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| author | Mengling Zhang Ping Duan Cheng Huang Shunxing Peng Shasha Feng Kang Zhao Jia Li |
| author_facet | Mengling Zhang Ping Duan Cheng Huang Shunxing Peng Shasha Feng Kang Zhao Jia Li |
| author_sort | Mengling Zhang |
| collection | DOAJ |
| description | To quantitatively reveal the dynamic impact of land use change on the susceptibility to geologic hazards. Based on Landsat images from 2000 to 2020, the relationship between land use change and geological hazard susceptibility in Dongchuan District, Kunming City, Yunnan Province, China, was analyzed. Land use types were extracted using the Support Vector Machine (SVM) method. Geological hazard susceptibility was assessed using machine learning, and impacts were comprehensively analyzed. Results show: (1) Geological hazard frequency is significantly higher in areas with land use changes than in unchanged areas. (2) Land use changes from grassland to farmland and forest to grassland increased geological hazard risk in Dongchuan District. (3) Conversions to grassland and farmland showed lagged effects on hazard occurrence, while forest conversion showed immediate effects, though the Mann–Whitney U test (U = 28.5, p = 0.620) indicated no significant difference in frequency ratio distributions between contemporaneous and time-lag analyses. |
| format | Article |
| id | doaj-art-26fe197dcc604ee68e92f1d8c823f3c5 |
| institution | OA Journals |
| issn | 1010-6049 1752-0762 |
| language | English |
| publishDate | 2025-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Geocarto International |
| spelling | doaj-art-26fe197dcc604ee68e92f1d8c823f3c52025-08-20T02:05:21ZengTaylor & Francis GroupGeocarto International1010-60491752-07622025-12-0140110.1080/10106049.2025.2508438Geological hazard susceptibility assessment under land use change: a case study of Dongchuan District, Kunming, Yunnan, ChinaMengling Zhang0Ping Duan1Cheng Huang2Shunxing Peng3Shasha Feng4Kang Zhao5Jia Li6Faculty of Geography, Yunnan Normal University, Kunming, YunnanFaculty of Geography, Yunnan Normal University, Kunming, YunnanYunnan Key Laboratory of Geohazard Forecast and Geoecological Restoration in Plateau Mountainous Area, Kunming, ChinaFaculty of Geography, Yunnan Normal University, Kunming, YunnanFaculty of Geography, Yunnan Normal University, Kunming, YunnanYunnan Provincial Land and Resources Information Center, Kunming, ChinaFaculty of Geography, Yunnan Normal University, Kunming, YunnanTo quantitatively reveal the dynamic impact of land use change on the susceptibility to geologic hazards. Based on Landsat images from 2000 to 2020, the relationship between land use change and geological hazard susceptibility in Dongchuan District, Kunming City, Yunnan Province, China, was analyzed. Land use types were extracted using the Support Vector Machine (SVM) method. Geological hazard susceptibility was assessed using machine learning, and impacts were comprehensively analyzed. Results show: (1) Geological hazard frequency is significantly higher in areas with land use changes than in unchanged areas. (2) Land use changes from grassland to farmland and forest to grassland increased geological hazard risk in Dongchuan District. (3) Conversions to grassland and farmland showed lagged effects on hazard occurrence, while forest conversion showed immediate effects, though the Mann–Whitney U test (U = 28.5, p = 0.620) indicated no significant difference in frequency ratio distributions between contemporaneous and time-lag analyses.https://www.tandfonline.com/doi/10.1080/10106049.2025.2508438Geological hazard susceptibilityland use changemachine learning |
| spellingShingle | Mengling Zhang Ping Duan Cheng Huang Shunxing Peng Shasha Feng Kang Zhao Jia Li Geological hazard susceptibility assessment under land use change: a case study of Dongchuan District, Kunming, Yunnan, China Geocarto International Geological hazard susceptibility land use change machine learning |
| title | Geological hazard susceptibility assessment under land use change: a case study of Dongchuan District, Kunming, Yunnan, China |
| title_full | Geological hazard susceptibility assessment under land use change: a case study of Dongchuan District, Kunming, Yunnan, China |
| title_fullStr | Geological hazard susceptibility assessment under land use change: a case study of Dongchuan District, Kunming, Yunnan, China |
| title_full_unstemmed | Geological hazard susceptibility assessment under land use change: a case study of Dongchuan District, Kunming, Yunnan, China |
| title_short | Geological hazard susceptibility assessment under land use change: a case study of Dongchuan District, Kunming, Yunnan, China |
| title_sort | geological hazard susceptibility assessment under land use change a case study of dongchuan district kunming yunnan china |
| topic | Geological hazard susceptibility land use change machine learning |
| url | https://www.tandfonline.com/doi/10.1080/10106049.2025.2508438 |
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