Mixed spatial scale effects of landscape structure on water quality in the Yellow River
文献类型：期刊论文
| 作者 | Dou, Jinghui4,5,6; Xia, Rui3,5,6; Chen, Yan2,5,6; Chen, Xiaofei5,6; Cheng, Bingfen1; Zhang, Kai5,6; Yang, Chen5,6 |
| 刊名 | JOURNAL OF CLEANER PRODUCTION
 |
| 出版日期 | 2022-09-25 |
| 卷号 | 368页码:12 |
| 关键词 | Landscape structure Water quality Mixed buffer Yellow river |
| ISSN号 | 0959-6526 |
| DOI | 10.1016/j.jclepro.2022.133008 |
| 通讯作者 | Xia, Rui(xiarui@craes.org.cn) |
| 英文摘要 | Scientific understanding of the scale effects of landscape structure on water quality is essential for national land planning and water environment management. However, there is no consensus on the optimal spatial landscape scale affecting water quality. To this end, we developed a novel mix scale division method, which is consist of the intersection of sub-basin, stream buffer zone and circular buffer zone. Based on the water quality data from 113 monitoring stations of the Yellow River Basin, we quantitatively identified the spatial scale effects of various landscape indexes on water quality, as well as the nonlinear response of the water quality along the gradient of landscape indicators in the Yellow River, by using the Redundancy analysis (RDA) and Generalized Additive Model (GAM). We show that landscape indexes related to buildup and agricultural lands had significant impact on water quality changes, and this impact was more influential during the rainy season compared with the dry season. We also identified that the optimal scale and landscape pattern corresponding to the main non-point source factors, i.e., CODCr, total nitrogen (TN), and total phosphorus (TP). The variations of these three water quality indicators were predominated by buildup land (B-CA) at sub-basin (with a contribution percentage of 43.7%), agricultural land (A-CA) at the scale of stream buffer (bs) = 1000 m and circular buffer (bc) = 20 km (50.2%), and the largest patch index of agriculture (A-LPI) at the scale of bs = 1000m and bc = 25 km (41.7%), respectively. The B-CA>50000 ha at the sub-basin scale and A-LP = 50% at the mixed scale (bs = 1000m, bc = 25 km) would accelerate the deterioration of water quality. Results implied that water quality could be improved by implementing landscape regulation within an appropriate scale and considering the non-linear effects of landscape structure on water quality. |
| 资助项目 | National Key R&D Program of China[2021YFC3201003] ; National Natural Science Founda-tion of China[51879252] ; Fundamental Research Funds for the Central Public-interest Scientific Institution[2021KSKY-04] |
| WOS研究方向 | Science & Technology - Other Topics ; Engineering ; Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:000835535000002 |
| 出版者 | ELSEVIER SCI LTD |
| 源URL | [http://119.78.100.138/handle/2HOD01W0/16423]  |
| 专题 | 中国科学院重庆绿色智能技术研究院 |
| 通讯作者 | Xia, Rui |
| 作者单位 | 1.North China Inst Sci & Technol, Coll Emergency Technol & Management, Langfang 065201, Peoples R China 2.Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Chongqing 400714, Peoples R China 3.Chinese Res Inst Environm Sci, State Environm Protect Key Lab Estuarine & Coastal, Beijing 100012, Peoples R China 4.Northwest Univ, Northwest Univ Coll Urban & Environm Sci, Xian 710127, Peoples R China 5.Chinese Res Inst Environm Sci, Natl Engn Lab Lake Pollut Control & Ecol Restorat, Beijing 100012, Peoples R China 6.Chinese Res Inst Environm Sci, State Key Lab Environm Criteria & Risk Assessment, Beijing 100012, Peoples R China |
| 推荐引用方式 GB/T 7714 | Dou, Jinghui,Xia, Rui,Chen, Yan,et al. Mixed spatial scale effects of landscape structure on water quality in the Yellow River[J]. JOURNAL OF CLEANER PRODUCTION,2022,368:12. |
| APA | Dou, Jinghui.,Xia, Rui.,Chen, Yan.,Chen, Xiaofei.,Cheng, Bingfen.,...&Yang, Chen.(2022).Mixed spatial scale effects of landscape structure on water quality in the Yellow River.JOURNAL OF CLEANER PRODUCTION,368,12. |
| MLA | Dou, Jinghui,et al."Mixed spatial scale effects of landscape structure on water quality in the Yellow River".JOURNAL OF CLEANER PRODUCTION 368(2022):12. |
入库方式： OAI收割
来源：重庆绿色智能技术研究院
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