Disentangling multi-scale impacts on surface water quality: A hierarchical modeling approach
文献类型：期刊论文
| 作者 | Li, Zhihui2,3,4; Fang, Kehang1; Wu, Haowei2,3,4; Gao, Xing3,5; Wu, Feng2,3,4 |
| 刊名 | ECOLOGICAL INDICATORS
 |
| 出版日期 | 2025-09-01 |
| 卷号 | 178页码:114061 |
| 关键词 | Water quality index Land use Socioeconomic factors Scale effects Multi-level modeling |
| ISSN号 | 1470-160X |
| DOI | 10.1016/j.ecolind.2025.114061 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | Surface water quality is critically shaped by diverse natural and anthropogenic drivers operating at different spatial scales. However, few studies have systematically quantified how these drivers vary in strength and importance across scales. This study develops an innovative multi-level modeling framework to disentangle and quantify the scale-dependent effects of natural and socioeconomic factors on surface water quality. By integrating sub-watershed-level natural indicators with county-level socioeconomic metrics, our hierarchical model partitions variance across spatial levels. Taking China's Red River Basin as case study area, the model results show that natural factors at the sub-watershed level explain 51.03% of water quality variation, while countylevel socioeconomic factors account for 22.58%. Scale-specific effects are evident: meteorological variables such as precipitation and humidity dominate at the sub-watershed scale, while primary industry intensity and livestock density have stronger impacts at the county scale, both contributing to water quality deterioration. In contrast, modernized facility agriculture contributes positively, with effects concentrated at the county level. These findings underscore the importance of scale-matched indicators in policy design. The proposed framework offers a robust method for multiscale environmental diagnosis and supports adaptive, spatially differentiated water quality governance. |
| URL标识 | 查看原文 |
| WOS关键词 | POLLUTION ; INDEXES |
| WOS研究方向 | Biodiversity & Conservation ; Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:001559354300001 |
| 出版者 | ELSEVIER |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/216104]  |
| 专题 | 陆地表层格局与模拟院重点实验室_外文论文 |
| 通讯作者 | Wu, Feng |
| 作者单位 | 1.Donghua Univ, Coll Math & Stat, Shanghai 200051, Peoples R China; 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China; 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China; 4.Chinese Acad Sci, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China; 5.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Zhihui,Fang, Kehang,Wu, Haowei,et al. Disentangling multi-scale impacts on surface water quality: A hierarchical modeling approach[J]. ECOLOGICAL INDICATORS,2025,178:114061. |
| APA | Li, Zhihui,Fang, Kehang,Wu, Haowei,Gao, Xing,&Wu, Feng.(2025).Disentangling multi-scale impacts on surface water quality: A hierarchical modeling approach.ECOLOGICAL INDICATORS,178,114061. |
| MLA | Li, Zhihui,et al."Disentangling multi-scale impacts on surface water quality: A hierarchical modeling approach".ECOLOGICAL INDICATORS 178(2025):114061. |
入库方式： OAI收割
来源：地理科学与资源研究所
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