Radarsat-2全极化数据在湖泊水质监测中的应用——以江苏省苏州市四大湖泊为例
Application of Radarsat-2 Full-polarization Data in Water Quality Monitoring of Lakes——A Case of Four Lakes in Suzhou City of Jiangsu Province
曹仕 1蔡乐 1吴盛 1黄敏1
作者信息
- 1. 湖南省第二测绘院,湖南长沙410000
- 折叠
摘要
[目的]探索一种优良的大范围监测湖泊污染的方法.[方法]以江苏省苏州市周边四大淡水湖泊(太湖(东岸水域)、阳澄西湖、金鸡湖以及独墅湖)为试点,采用随机采点的方法,利用Radarsat-2全极化数据对不同物理散射机制的反映,对湖泊水体散射情况及其所含悬浮颗粒物浓度进行监测.[结果]苏州市四大湖泊基本类属于中熵区的3、4、5类散射机制(即中熵多次散射、中熵偶极子散射以及中熵表面散射),其中熵偶极子散射类在各大湖泊区域内所占比例高达65.0％以上,说明四大湖泊水体主体较为浑浊,悬浮颗粒物较多,其中独墅湖66.6％、阳澄西湖66.7％、太湖68.3％、金鸡湖73.3％.四大湖泊中水体水质最优的是独墅湖,其次为阳澄西湖、太湖,最劣为金鸡湖.[结论] Radarsat-2全极化数据不仅可以应用于湖泊水体污染研究,还可以进一步反映水体中各要素的分布状况,在水环境污染研究方面具有很大的潜力.
Abstract
[Objective] To discuss a good method for large-scale monitoring of lake pollution.[Method] Four lakes around Suzhou City were used as the pilot sites, which were Tai Lake, Yangcheng West Lake, Jinji Lake, Dushu Lake.Sites were randomly selected.Physical scattering mechanism was used to monitor the scattering situation of water bodies and the concentration of suspended particles by Radarsat-2 full-polarization data.[Result] The four lakes in Suzhou City belonged to 3,4 and 5 scattering mechanisms in middle entropy region.Among them,entropy dipole scattering class accounted for more than 65.0％ ,indicating that the water bodies of four lakes were relatively turbid with many suspended particles.The entropy dipole scattering classes of Dushu Lake,Yangcheng West Lake,Tai Lake and Jinji Lake accounted for 66.6％ ,66.7％ ,68.3％ and 73.3％ ,respectively.Dushu Lake had the optimal water quality ,followed with Yangcheng West Lake and Tai Lake.And Jinji Lake had the poorest water quality.[Conclusion] Radarsat-2 full-polarization data can be applied in the research on water body pollution of lakes, and further reflect the distribution status of each element in water body.Radarsat-2 full-polarization data has great potential in the research of water environment pollution.
关键词
Radarsat-2/H_α分类/水质监测/湖泊污染Key words
Radarsat-2/H_α classification/Water quality monitoring/Lake pollution引用本文复制引用
出版年
2016
国家科技期刊平台
NSTL
维普
万方数据