Suppr超能文献

涪江流域农业面源污染的空间分布及污染源识别

[Spatial distribution and pollution source identification of agricultural non-point source pollution in Fujiang watershed].

作者信息

Ding Xiao-Wen, Shen Zhen-Yao

机构信息

Key Laboratory of Regional Energy and Environmental Systems Optimization, Ministry of Education, Resources and Environmental Research Academy, North China Electric Power University, Beijing 102206, China.

出版信息

Huan Jing Ke Xue. 2012 Nov;33(11):4025-32.

Abstract

In order to provide regulatory support for management and control of non-point source (NPS) pollution in Fujiang watershed, agricultural NPS pollution is simulated, spatial distribution characteristics of NPS pollution are analyzed, and the primary pollution sources are also identified, by export coefficient model (ECM) and geographic information system (GIS). Agricultural NPS total nitrogen (TN) loading was of research area was 9.11 x 10(4) t in 2010, and the average loading was intensity was 3.10 t x km(-2). Agricultural NPS TN loading mainly distributed over dry lands, Mianyang city and gentle slope areas; high loading intensity areas were dry lands, Deyang city and gentle slope areas. Agricultural land use, of which contribution rate was 62. 12%, was the most important pollution source; fertilizer loss in dry lands, of which contribution rate was 50.49%, was the prominent. Improving methods of agricultural cultivation, implementing "farm land returning to woodland" policy, and enhancing treatment efficiency of domestic sewage and livestock waster wate are effective measures.

摘要

为了给涪江流域非点源污染的管理与控制提供监管支持,利用输出系数模型(ECM)和地理信息系统(GIS)对农业非点源污染进行模拟,分析非点源污染的空间分布特征,并识别主要污染源。2010年研究区域农业非点源总氮(TN)负荷为9.11×10⁴吨,平均负荷强度为3.10吨/平方千米。农业非点源TN负荷主要分布在旱地、绵阳市和缓坡地区;高负荷强度区域为旱地、德阳市和缓坡地区。农业土地利用是最重要的污染源,贡献率为62.12%;旱地化肥流失贡献率为50.49%,尤为突出。改进农业种植方式、实施“退耕还林”政策以及提高生活污水和畜禽废水处理效率是有效措施。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验