Assessing seasonal geohazard risk related to precipitation on traditional villages under climate change: a region-level analysis of southwest Yunnan, China
The geohazard risks of traditional villages are seasonally differentiated, yet the spatial-temporal distribution pattern of the risks has not been effectively assessed. This study aims to provide an analysis example for seasonal risk assessment and therefore to promote evidence-based risk prevention...
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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/10.1080/19475705.2025.2529927 |
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| author | Ximo Wang Yongkang Cao Shu Jiang Di Zhu Mianlin Yang Chang Su |
| author_facet | Ximo Wang Yongkang Cao Shu Jiang Di Zhu Mianlin Yang Chang Su |
| author_sort | Ximo Wang |
| collection | DOAJ |
| description | The geohazard risks of traditional villages are seasonally differentiated, yet the spatial-temporal distribution pattern of the risks has not been effectively assessed. This study aims to provide an analysis example for seasonal risk assessment and therefore to promote evidence-based risk prevention. We constructed a comprehensive risk assessment framework and quantitatively assessed the spatiotemporal risk dynamics for 98 traditional villages in southwest Yunnan, China. The framework integrated 12 indicators across 3 dimensions, including hazard, exposure and vulnerability. To characterize seasonality, four seasons were delineated (I: March-May, II: June-August, III: September-November, IV: December-February). The findings show that: (1) Temporally, the season II has the highest comprehensive risk, followed by the season III, I and IV, with 31%, 17%, 12% and 3% of villages at high risk level, respectively. (2) Spatially, the high-risk villages are predominantly in the western and northern regions. Differently, the southern and eastern regions exhibit significantly greater overall risk during seasons II and III compared to seasons I and IV, due to intense precipitation hazard. (3) With jurisdiction over a large number of villages, about 33% of counties face persistent high risk in all seasons. The study provides decision-making foundations for temporally targeted geohazard prevention in traditional villages. |
| format | Article |
| id | doaj-art-9fe46bade35c44ed9e49be49a8317fb2 |
| 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-9fe46bade35c44ed9e49be49a8317fb22025-08-20T03:28:18ZengTaylor & Francis GroupGeomatics, Natural Hazards & Risk1947-57051947-57132025-12-0116110.1080/19475705.2025.2529927Assessing seasonal geohazard risk related to precipitation on traditional villages under climate change: a region-level analysis of southwest Yunnan, ChinaXimo Wang0Yongkang Cao1Shu Jiang2Di Zhu3Mianlin Yang4Chang Su5School of Design, Shanghai Jiao Tong University, Shanghai, ChinaSchool of Design, Shanghai Jiao Tong University, Shanghai, ChinaSchool of Design, Shanghai Jiao Tong University, Shanghai, ChinaSchool of Design, Shanghai Jiao Tong University, Shanghai, ChinaSchool of Design, Shanghai Jiao Tong University, Shanghai, ChinaSchool of Design, Shanghai Jiao Tong University, Shanghai, ChinaThe geohazard risks of traditional villages are seasonally differentiated, yet the spatial-temporal distribution pattern of the risks has not been effectively assessed. This study aims to provide an analysis example for seasonal risk assessment and therefore to promote evidence-based risk prevention. We constructed a comprehensive risk assessment framework and quantitatively assessed the spatiotemporal risk dynamics for 98 traditional villages in southwest Yunnan, China. The framework integrated 12 indicators across 3 dimensions, including hazard, exposure and vulnerability. To characterize seasonality, four seasons were delineated (I: March-May, II: June-August, III: September-November, IV: December-February). The findings show that: (1) Temporally, the season II has the highest comprehensive risk, followed by the season III, I and IV, with 31%, 17%, 12% and 3% of villages at high risk level, respectively. (2) Spatially, the high-risk villages are predominantly in the western and northern regions. Differently, the southern and eastern regions exhibit significantly greater overall risk during seasons II and III compared to seasons I and IV, due to intense precipitation hazard. (3) With jurisdiction over a large number of villages, about 33% of counties face persistent high risk in all seasons. The study provides decision-making foundations for temporally targeted geohazard prevention in traditional villages.https://www.tandfonline.com/doi/10.1080/19475705.2025.2529927Traditional villagesgeological hazardsrisk assessmentseasonal differencesprecipitation |
| spellingShingle | Ximo Wang Yongkang Cao Shu Jiang Di Zhu Mianlin Yang Chang Su Assessing seasonal geohazard risk related to precipitation on traditional villages under climate change: a region-level analysis of southwest Yunnan, China Geomatics, Natural Hazards & Risk Traditional villages geological hazards risk assessment seasonal differences precipitation |
| title | Assessing seasonal geohazard risk related to precipitation on traditional villages under climate change: a region-level analysis of southwest Yunnan, China |
| title_full | Assessing seasonal geohazard risk related to precipitation on traditional villages under climate change: a region-level analysis of southwest Yunnan, China |
| title_fullStr | Assessing seasonal geohazard risk related to precipitation on traditional villages under climate change: a region-level analysis of southwest Yunnan, China |
| title_full_unstemmed | Assessing seasonal geohazard risk related to precipitation on traditional villages under climate change: a region-level analysis of southwest Yunnan, China |
| title_short | Assessing seasonal geohazard risk related to precipitation on traditional villages under climate change: a region-level analysis of southwest Yunnan, China |
| title_sort | assessing seasonal geohazard risk related to precipitation on traditional villages under climate change a region level analysis of southwest yunnan china |
| topic | Traditional villages geological hazards risk assessment seasonal differences precipitation |
| url | https://www.tandfonline.com/doi/10.1080/19475705.2025.2529927 |
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