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作 者:李旭文[1] 张悦[1] 姜晟[1] 王甜甜[1] 崔嘉宇 纪轩禹 陈冰 魏玉强 陈栋 LI Xuwen;ZHANG Yue;JIANG Sheng;WANG Tiantian;CUI Jiayu;JI Xuanyu;CHEN Bing;WEI Yuqiang;CHEN Dong(Jiangsu Provincial Environmental Monitoring Center,Jiangsu Taihu Lake Water Quality Monitoring Center Station,Nanjing 210019,China;School of Remote Sensing and Geomatics Engineering,Nanjing University of Information Science&Technology,Nanjing 210044,China)
机构地区:[1]江苏省环境监测中心江苏省太湖水质监测中心站,江苏南京210019 [2]南京信息工程大学遥感与测绘工程学院,江苏南京210044
出 处:《中国环境监测》2024年第3期271-282,共12页Environmental Monitoring in China
基 金:国家水体污染控制与治理科技重大专项(2017ZX07302-003);江苏省环保科研课题(2019010);江苏省环境监测科研基金项目(2116)。
摘 要:利用太湖2019—2022年冬春季“哨兵-2”卫星10 m分辨率的MSI影像和SNAP软件C2RCC(Case 2 Regional CoastColour)模块,以适合浑浊、富营养程度较高、光学复杂的“二类水体”的C2X-nets为模式,开展太湖叶绿素a、总悬浮物浓度、透明度等水色参数反演。结果表明:冬春季太湖各湖区叶绿素a浓度处于较低水平,但4月中旬起有明显抬升;太湖西部沿岸区、南部沿岸区和湖心区总悬浮物浓度较高,表明这些湖区易受风浪影响,造成沉积物再悬浮;太湖东部沿岸区、北部湖湾及东太湖遥感反演的水体清澈度较高,可能与这些湖区冬春季沉水植物菹草的分布有关,菹草生长对水质有较好的净化效果。总体来看,基于C2X-nets模式的C2RCC反演算法从较高分辨率卫星遥感影像中提取的水色信息,能有效反映太湖冬春季水色指标的空间分布特征,可为湖体生态状况及动态变化的长期监测评估提供有价值的参考。The C2RCC(Case 2 Regional CoastColour)module of SNAP software,with specific case-2 mode(C2X-nets)catered for turbid,eutrophic and therefore optically complex waters,was applied to the water color retrieval from 10m resolution Sentinel-2 MSI images of the Taihu Lake for the winter to spring time spans of year 2019 to 2022,and the water color indices of chlorophyll-a,total suspended substance and transparency of the 8 sub-regions of the Taihu Lake were obtained.It was shown that during the winter to spring span,chlorophyll-a usually had low concentration,but had an evident rise since mid-April.In the western,southern and central sub-region of the lake,total suspended substance showed higher concentration than other subregions,which implies they are susceptible to wind induced resuspension of sediments.The remote sensing retrieved water clarity showed higher values in the eastern,northern bays and in eastern Taihu Lake,it is related to the growth of potamogeton crispus,a typical submerged macrophytes which has prominent water clarification effects in these sub-regions.In summary,water color information retrieved by C2RCC algorithm under C2X-nets mode from high resolution MSI images is capable of demonstrating the spatial and temporal pattern,and can aid in the long term appraisal of lake aquatic eco-system status and variation.
分 类 号:X87[环境科学与工程—环境工程]
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