中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Tracing coastal nonpoint sources of agricultural organic pollution based on soil sequestration and retention processes: A case study of the Yellow River Delta, China

文献类型:期刊论文

作者Wang, Youxiao2,5; Zhang, Zhaomin2,3; Zhao, Zhonghe4; Li, He5; Sun, Yingjun2; Huang, Chong5; Zhang, Banghua2; Liu, Gaohuan1,5
刊名JOURNAL OF CONTAMINANT HYDROLOGY
出版日期2026-02-01
卷号277页码:104871
关键词Agricultural nonpoint source pollution Livestock and poultry Soil organic matter Chemical oxygen demand Yellow River Delta
ISSN号0169-7722
DOI10.1016/j.jconhyd.2026.104871
产权排序2
文献子类Article
英文摘要China has been confronted with severe agricultural nonpoint source pollution (AGNSP) from livestock and poultry, which increases chemical oxygen demand (COD). To explore the sources of COD in surface waters from the perspective of ecosystem processes, taking the coastal watershed of the Yellow River Delta (YRD) of China as a typical study area, we have adopted a method that integrates the scale and positioning of livestock and poultry breeding, a pollutant generation coefficient, and kernel density estimation (KDE) to assess the COD diffusion risk during watershed soil erosion processes. Moreover, verification and analysis were performed by combining soil sampling data with hydrological and water quality monitoring data for the estuary. Additionally, we selected Spearman's coefficient for correlation analysis between surface soil organic matter (SOM) and related naturalanthropogenic factors. The main conclusions are as follows: the terrestrial COD pollution risks generated by livestock and poultry significantly influence SOM (p < 0.001) and are most strongly correlated in non-arable lands, especially saline-alkali land (r(s) = 0.86) mainly because of natural soil erosion process. Arable land has the highest SOM concentrations but has lower correlations with the COD generation risks obtained by the KDE method, mainly because of cultivation activities. At the watershed scale, surface runoff is the dominant driver of estuarine COD fluxes but has certain dilution effects on COD concentrations. Furthermore, there usually exists the spillover effects of AGNSP from livestock and poultry usually occur due to the imbalanced distributions between the area of arable land and the supply of manure within watersheds. Our study provides an effective and rapid assessment method for determining the AGNSP risk of COD derived from livestock and poultry.
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WOS关键词NITROGEN ; MANAGEMENT ; CROPLAND ; CARBON ; SYSTEM
WOS研究方向Environmental Sciences & Ecology ; Geology ; Water Resources
语种英语
WOS记录号WOS:001681187600001
出版者ELSEVIER
源URL[http://ir.igsnrr.ac.cn/handle/311030/221015]  
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Zhao, Zhonghe; Sun, Yingjun
作者单位1.Jiangsu Ctr Collaborat Innovat Geog Informat Resou, Nanjing 210023, Peoples R China
2.Shandong Jianzhu Univ, Sch Surveying & Geoinformat, Jinan 250101, Peoples R China;
3.Shandong Inst Coalfield Geol Planning & Invest, Jinan 250104, Peoples R China;
4.Chinese Acad Agr Sci, Agr Informat Inst, Beijing 100081, Peoples R China;
5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Geog Informat Sci & Technol, Beijing 100101, Peoples R China;
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GB/T 7714
Wang, Youxiao,Zhang, Zhaomin,Zhao, Zhonghe,et al. Tracing coastal nonpoint sources of agricultural organic pollution based on soil sequestration and retention processes: A case study of the Yellow River Delta, China[J]. JOURNAL OF CONTAMINANT HYDROLOGY,2026,277:104871.
APA Wang, Youxiao.,Zhang, Zhaomin.,Zhao, Zhonghe.,Li, He.,Sun, Yingjun.,...&Liu, Gaohuan.(2026).Tracing coastal nonpoint sources of agricultural organic pollution based on soil sequestration and retention processes: A case study of the Yellow River Delta, China.JOURNAL OF CONTAMINANT HYDROLOGY,277,104871.
MLA Wang, Youxiao,et al."Tracing coastal nonpoint sources of agricultural organic pollution based on soil sequestration and retention processes: A case study of the Yellow River Delta, China".JOURNAL OF CONTAMINANT HYDROLOGY 277(2026):104871.

入库方式: OAI收割

来源:地理科学与资源研究所

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