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卫星影像和高程数据在农村环境质量试点监测中的应用
引用本文:蒋明,李维,文建辉.卫星影像和高程数据在农村环境质量试点监测中的应用[J].中国环境监测,2014,30(6):184-187.
作者姓名:蒋明  李维  文建辉
作者单位:桂林市环境监测中心站, 广西 桂林 541002;桂林市环境监测中心站, 广西 桂林 541002;桂林市环境监测中心站, 广西 桂林 541002
基金项目:桂林市环保专项资金(市财建[2011]137号)
摘    要:大量长期地使用农用塑料薄膜,导致邻苯二甲酸酯类的监测结果出现超标。邻苯二甲酸酯类的污染形势不容乐观。结合桂林市农村环境质量试点监测工作,参考全国生态环境监测与评价工作的技术方法,利用高分辨率卫星遥感影像对试点监测村进行了农膜覆盖面积的统计。针对桂林市的丘陵地貌特征,利用高程数据对统计结果进行修正,提高了农膜覆盖面积统计的准确度。同时还对试点监测村周边区域的农膜覆盖情况进行了粗略统计和分析,确定了将来的重点调查目标区域,为将来深入调查邻苯二甲酸酯类污染状况、制定防治方案提供了一定的参考。

关 键 词:卫星影像  高程数据  覆盖调查  遥感监测  农村环境质量监测
收稿时间:2013/11/6 0:00:00
修稿时间:1/1/2014 12:00:00 AM

Application of Satellite Image and Digital Elevation Model in Rural Environmental Quality Monitoring
JIANG Ming,LI Wei and WEN Jian-hui.Application of Satellite Image and Digital Elevation Model in Rural Environmental Quality Monitoring[J].Environmental Monitoring in China,2014,30(6):184-187.
Authors:JIANG Ming  LI Wei and WEN Jian-hui
Institution:Guilin Environmental Monitoring Centre, Guilin 541002, China;Guilin Environmental Monitoring Centre, Guilin 541002, China;Guilin Environmental Monitoring Centre, Guilin 541002, China
Abstract:Heave and long-term usage of agricultural plastic film caused the concentration of PAEs (Phthalate esters) to exceed control standard. The situation of PAEs pollution was not optimistic. In this paper, combined with the work of rural environmental quality monitoring in Guilin, referring to the technical methods of national work of monitoring and evaluating of ecological environment, area estimation of the coverage of agricultural plastic film in the pilot monitoring village was carried out using high-resolution satellite remote sensing images. According to the hilly landform characteristics of Guilin, digital elevation model was used to correct the area estimation. In addition, the coverage situation of agricultural plastic film around the pilot monitoring village was roughly estimated and analyzed to determine the key area for further investigation and to provide reference for pollution survey of PAEs and making countermeasure in the future.
Keywords:satellite image  digital elevation model  survey on coverage  remote sensing monitoring  rural environmental quality monitoring
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