基于多源卫星数据的淀山湖富营养化时空分布研究
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上海市水务局科研项目(沪水科2021-10);中国科学院上海技术物理研究所创新专项项目(CX-363)


Research on Spatiotemporal Distribution of Eutrophication in Dianshan Lake Based on Multi-Source Satellite Data
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    摘要:

    准确监测蓝藻水华是湖泊富营养化研究的基础,可为水环境部门的管理和决策提供依据。以淀山湖为研究对象,利用Sentinel-2/MSI、Landsat-8/OLI两种影像数据,并通过改进的浮游藻类指数(Floating Algae Index, FAI)监测了2019~2021年共21幅淀山湖区域影像的水华情况,然后在此基础上分析了淀山湖富营养化的分布规律。结果表明:(1)淀山湖连续三年都有蓝藻水华出现,存在富营养化情况;(2)每年的6~9月份是蓝藻水华的高发期,湖体富营养化发生的面积较大、频率较高,2020年9月和2021年8月爆发水华面积超过20 km2;(3)水华爆发速度较快,持续时间较短。

    Abstract:

    Accurate monitoring of cyanobacterial blooms is the basis of lake eutrophication research, which can provide a basis for the management and decision-making of water environment departments. In this paper, Dianshan Lake is chosen as the research object, Sentinel-2/MSI and Landsat-8/OLI image data are used to monitor a total of 21 algal bloom areas in Dianshan Lake from 2019 to 2021 through the improved floating algae index (FAI). The distribution of eutrophication in Dianshan Lake is also analyzed. The results show that cyanobacteria blooms and eutrophication have appeared in Dianshan Lake for three consecutive years. The high incidence period of cyanobacteria blooms in this lake is from June to September each year. The area of eutrophication is large and the frequency is high. In September 2020 and August 2021, the bloom area exceeds 20km2.The blooms burst quickly and last for a short time.

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刘君,戚浩强,黄奔,等.基于多源卫星数据的淀山湖富营养化时空分布研究[J].红外,2023,44(3):36-41.

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