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辽河流域非点源污染空间特征遥感解析
摘要点击 2443  全文点击 1698  投稿时间:2013-01-31  修订日期:2013-04-26
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中文关键词  环境卫星  非点源污染  遥感  估算  辽河流域
英文关键词  HJ satellite  non-point source pollution  remote sensing  estimation  Liaohe River Basin
作者单位E-mail
王雪蕾 环境保护部卫星环境应用中心, 北京 100094 wxlbnu@gmail.com 
蔡明勇 北京师范大学地理学与遥感科学学院, 北京 100875  
钟部卿 中国科学院地理科学与资源研究所, 北京 100101  
姚延娟 环境保护部卫星环境应用中心, 北京 100094  
殷守敬 环境保护部卫星环境应用中心, 北京 100094  
吴迪 环境保护部卫星环境应用中心, 北京 100094  
中文摘要
      应用遥感技术研究了辽河流域非点源污染发生特征. 将环境卫星遥感数据耦合非点源(non-point Source, NPS)污染负荷估算模型,探索基于遥感像元尺度的非点源污染估算方法,目的是分析2010年辽河流域非点源污染特征,从而明确非点源污染的重点防治区和防治措施,为辽河流域水环境污染防治提供技术支持. 结果表明, 2010年辽河流域总氮排放量为10.3万t,总磷排放量为0.68万t,化学需氧量排放量为13.1万t,氨氮排放量为1.8万t; 目前,对于辽河流域主要的非点源污染类型为农业面源; 2010年辽河流域面源污染对水质污染的贡献率表现为总氮 67.4%,总磷76.4%,化学需氧量39.4%和氨氮21.9%; 空间分布上辽河流域的南部是污染最严重的地区,其次是东北部. 本研究结合遥感技术发展了以遥感像元为基本模拟单位的非点源污染负荷估算方法,明确了2010年辽河流域的非点源污染产生量和空间分布特征,为辽河流域污染治理防治工作提供了理论依据.
英文摘要
      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 1.03×105 t, the total phosphorus (TP) was 6.8×103 t, the chemical oxygen demand (COD) was 1.31×105 t and the ammonia nitrogen (NH4+-N) was 1.8×104 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 NH4+-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.

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