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. 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.
Authors
- Yongkang Cao
- Chang Su (ORCID: https://orcid.org/0000-0002-9282-6402)
- Min Yang (ORCID: https://orcid.org/0000-0003-2658-3075)
- Ximo Wang
- Di Zhu
- Shu Yan Jiang (ORCID: https://orcid.org/0000-0002-6272-7649)
Institutions
- Conservation International (US)
- Shanghai Jiao Tong University (CN)
Publication Details
- Journal
- Geomatics Natural Hazards and Risk
- Published
- 2025-07-21
- DOI
- https://doi.org/10.1080/19475705.2025.2529927
- Primary Topic
- Landslides and related hazards
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Key Research and Development Program of China