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[辽河流域非点源污染空间特征研究]

[Research on spatial characteristic of non-point source pollution in Liaohe River basin].

作者信息

Wang Xue-Lei, Cai Ming-Yong, Zhong Bu-Qing, Yao Yan-Juan, Yin Shou-Jing, Wu Di

机构信息

Satellite Environment Center, Ministry of Environmental Protection, Beijing 100094, China.

School of Geography, Beijing Normal University, Beijing 100875, China.

出版信息

Huan Jing Ke Xue. 2013 Oct;34(10):3788-96.

PMID:24364294
Abstract

The spatial characteristic of non-point source pollution in the Liaohe River was studied. Coupling the remote sensing data and non-point source (NPS) models, a method of assessing NPS pollution by pixel unit was developed, aiming to analyse the NPS pollution characteristic of Liaohe River basin in 2010, in turn to identify the main polluted areas and prevention measures. The work will provide technical supports for pollution prevention in Liaohe River basin. The results showed that in 2010, the total discharge of total nitrogen (TN) was 1.03 x 10(5) t, the total phosphorus (TP) was 6.8 x 10(3) t, the chemical oxygen demand (COD) was 1.31 x 10(5) t and the ammonia nitrogen (NH+4 -N) was 1. 8 x 10(4) t. The main pollution source of NPS was from agriculture. The contributions of NPS pollution to water quality were 67.4% , 76.4% , 39.4% and 21.9% for TN, TP, COD and NH+4 -N, respectively. The south of Liaohe River basin was the most serious polluted area, followed by the northeast areas. In this research, a method was build to estimate the NPS loads based on remote sensing pixel and the spatial characteristic of non-point source pollution in Liaohe River in 2010 was analysed, which will provide support for pollution prevention in Liaohe River.

摘要

对辽河非点源污染的空间特征进行了研究。通过耦合遥感数据和非点源(NPS)模型,开发了一种以像元为单位评估非点源污染的方法,旨在分析2010年辽河流域的非点源污染特征,进而确定主要污染区域及防治措施。该工作将为辽河流域的污染防治提供技术支持。结果表明,2010年,总氮(TN)排放总量为1.03×10⁵t,总磷(TP)为6.8×10³t,化学需氧量(COD)为1.31×10⁵t,氨氮(NH₄⁺-N)为1.8×10⁴t。非点源的主要污染源来自农业。非点源污染对水质的贡献率分别为:TN为67.4%,TP为76.4%,COD为39.4%,NH₄⁺-N为21.9%。辽河流域南部是污染最严重的区域,其次是东北部地区。本研究构建了基于遥感像元估算非点源负荷的方法,分析了2010年辽河非点源污染的空间特征,这将为辽河流域的污染防治提供支持。

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引用本文的文献

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