Evaluation of the impact of land-use change on earthquake risk distribution in different periods: An empirical analysis from Sichuan Province
文献类型：期刊论文
| 作者 | Wang, Jun1,3; Yang, Fengshuo2,3; Kang, Junmei1; Liu, Yang1; Fang, Dengmao1 |
| 刊名 | OPEN GEOSCIENCES
 |
| 出版日期 | 2025-08-18 |
| 卷号 | 17期号:1页码:20250847 |
| 关键词 | land-use change earthquake disaster vulnerability risk Sichuan Province |
| ISSN号 | 2391-5447 |
| DOI | 10.1515/geo-2025-0847 |
| 产权排序 | 2 |
| 文献子类 | Article |
| 英文摘要 | Assessing the impacts of land-use change on seismic risk distribution is crucial for enhancing land-use planning and earthquake mitigation strategies. This study establishes a comprehensive evaluation system integrating geographic information system technology and entropy-weighted Technique for Order Preference by Similarity to Ideal Solution methodology (incorporating 14 indicators across hazard, vulnerability, and risk dimensions) to quantify county-level earthquake risk in Sichuan Province, China, and investigates the effects of land-use changes on seismic risk patterns. Results show that (1) dominant land-use transitions involved cropland (decreasing from 24.74% to 22.76%), forest cover (+17,702 km2), and impervious surfaces (+3,558 km2). Landscape metrics indicated reduced patch density, diminished edge complexity, and simplified shape irregularity alongside increased spatial aggregation. (2) From 1990 to 2023, earthquake risk distribution showed strong spatial autocorrelation (Global Moran's I = 0.58, p < 0.001), with more than 75% of the province classified as very low-risk. The very high-risk areas were mainly concentrated in the western, central, and southern regions, while the eastern region was predominantly very low-risk, covering a wide area. (3) Land use composition displayed distinct gradients across risk zones: forest expansion in very-low-risk (+4.38%) and high-risk (+28.47%) areas reflected successful Grain-for-Green policy implementation. Notable grassland fluctuations and wetland degradation highlighted ecological fragility, underscoring the urgency for risk-adaptive land management interventions. (4) As land-use intensity and landscape fragmentation decrease, the area of high earthquake risk zones declines, suggesting that scientific land-use planning and effective disaster mitigation measures can reduce regional earthquake risk. Additionally, inter-city earthquake risk in Sichuan Province exhibits significant spatial heterogeneity, with western cities forming high-high risky clusters and eastern cities forming low-low risky clusters. These results provide actionable insights for provincial-scale disaster mitigation frameworks and municipal-level prioritization. The study advances methodological innovation and theoretical foundations for regional earthquake risk assessment and sustainable land-use optimization. |
| URL标识 | 查看原文 |
| WOS关键词 | AREAS ; MODEL ; COVER ; UNCERTAINTY ; VEGETATION ; DISASTERS ; LOSSES |
| WOS研究方向 | Geology |
| 语种 | 英语 |
| WOS记录号 | WOS:001552790500001 |
| 出版者 | DE GRUYTER POLAND SP Z O O |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/215583]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 通讯作者 | Yang, Fengshuo |
| 作者单位 | 1.Xian Inst Prospecting & Mapping, Xian 710054, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China; 3.Shandong Jianzhu Univ, Sch Surveying & Geoinformat, Jinan 250101, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Wang, Jun,Yang, Fengshuo,Kang, Junmei,et al. Evaluation of the impact of land-use change on earthquake risk distribution in different periods: An empirical analysis from Sichuan Province[J]. OPEN GEOSCIENCES,2025,17(1):20250847. |
| APA | Wang, Jun,Yang, Fengshuo,Kang, Junmei,Liu, Yang,&Fang, Dengmao.(2025).Evaluation of the impact of land-use change on earthquake risk distribution in different periods: An empirical analysis from Sichuan Province.OPEN GEOSCIENCES,17(1),20250847. |
| MLA | Wang, Jun,et al."Evaluation of the impact of land-use change on earthquake risk distribution in different periods: An empirical analysis from Sichuan Province".OPEN GEOSCIENCES 17.1(2025):20250847. |
入库方式： OAI收割
来源：地理科学与资源研究所
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