基于遥感的官厅水库水质监测研究  

Remote sensing of water quality monitoring in Guanting Reservoir

作　　者：田野[1] 郭子祺[1] 乔彦超[1] 雷霞[1] 谢飞[1] 

机构地区：[1]中国科学院遥感与数字地球研究所,遥感科学国家重点实验室,北京100101

出　　处：《生态学报》2015年第7期2217-2226,共10页Acta Ecologica Sinica

基　　金：国家自然科学基金资助项目(41240005)

摘　　要：遥感监测具有监测面积广、速度快、成本低等优势,常用于大面积水质监测。以北京官厅水库为研究对象,通过野外和实验室测量数据建立水质参数遥感反演的生物光学模型,对夏季官厅水库的非色素颗粒物浓度、叶绿素a浓度和有色可溶性有机物(CDOM)浓度进行了反演。该模型研究的目的就是通过建立反演模型,利用卫星数据进行水质参数反演,从而得到大面积水体的水质分布图。采用CHRIS/Proba高光谱数据反演官厅水库的水体组分浓度,对库区水质反演要素的空间分布规律进行了分析。结果表明,所采用的遥感反演模型基本适用于官厅水库水质监测,反演出的叶绿素a、总悬浮物和CDOM的空间分布与实际测量值的空间分布基本吻合。Because of the advantages of rapidness, wide coverage, low cost, and dynamic monitoring over a long period of time, remote sensing has been widely used for water quality monitoring in recent decades.However, monitoring inland water quality by remote sensing is far behind ocean color remote sensing in both development of remote sensors and monitoring approaches. The development of hyperspectral remote sensing technique has brought much more new possibilities to inland water quality remote sensing. In this study, Guanting Reservoir, which lies between Zhangjiakou （HeBei） and Bering and once upon a time was one of Beijing＇s drinking water sources, is selected to be the research area. In-situ hyper-spectral measurements were conducted by using the ASD FieldSpec Pro FR spectroradiometer at 7 different points in Guanting Reservoir in May and at other 18 different points in August. Water samples were also simultaneously collected for laboratory analyses. Sample site position information was recorded via portable GPS and chlorophyll-a concentration of the water samples were measured in laboratory by Lambda950 spectraphotometric. The data indicates that Guanting Reservoir water＇s chlorophyll-a concentration and tripton concentration was low. With the data obtained in situ and in the laboratory, the bio- optical model was built to retrieve the concentrations of tripton, chlorophyll-a and colored dissolve organic matter （CDOM） of summer Guanting water. The retrieve results shows that all-bands matrix inversion method gained the best accuracy, then was five-bands method. Four-bands method got the worst accuracy. Then combining with the aerospace hyper-spectral data CHRIS/Proba, the water quality parameters at the whole reservoir was obtained and spatial analysis was conducted at last. Upstream region of chlorophyll a concentration were less than the downstream region and the Yongding River entrance in the reservoir. Aquatic plants in the upstream area was relatively lush area, because aquatic plants for photosynt

关 键 词：遥感监测 水质监测 水质反演 高光谱数据 

分 类 号：X87[环境科学与工程—环境工程] X832