Journal of East China Normal University(Natural Science) >

2022 , Vol. 2022 >Issue 1: 135 - 147

DOI: https://doi.org/10.3969/j.issn.1000-5641.2022.01.015

Geography

Remote sensing inversion and time-series analysis of critical parameters for eutrophication assessment of urban waters in Shanghai

  • Jiahao LI ,
  • Bo TIAN ,
  • Fang CAO ,
  • Yuekai HU ,
  • Yuanqiang DUAN ,
  • Zehao XIE ,
  • Ya PENG ,
  • Wenhao JIANG ,
  • Huifang FAN
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  • State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai　200241, China

Received date: 2020-10-16

  Online published: 2022-01-18

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Abstract

Estuarine cities are heavily influenced by anthropogenic activities. In turn, their water bodies often face serious eutrophication and pollution problems, thereby exerting significant pressure on the urban production and living environment. This study focuses on the water bodies in the city of Shanghai, an important estuarine megacity in China. Using the Sentinel-2 satellite and in situ measured water spectrum data, we built an inversion model for rapid identification of two critical parameters for eutrophication assessment, namely chlorophyll-a concentration and turbidity. We subsequently analyzed the spatial and temporal variability of these two parameters using time-series satellite data. Our results showed that the correlation coefficient (R2) of turbidity and chlorophyll-a concentration inversion based on remote sensing was 0.95 and 0.87, respectively; the root mean square error (RMSE) was 4.33 μg/L and 8.93 NTU, respectively. Time-series analysis from 2019 showed that both chlorophyll-a concentration and turbidity in different urban water bodies were highest in the summer and lowest in the winter in Shanghai. Specifically, chlorophyll-a concentrations across water bodies decreased in the following sequence: aqua-culture/planting ponds, permanent freshwater lakes, reservoir ponds, permanent rivers, and canals/transportation rivers. In the case of turbidity, the water bodies ordered from highest to the lowest followed the sequence: aqua-culture/planting ponds, permanent rivers, canals/water delivery rivers, permanent freshwater lakes, and reservoir ponds. Time series analysis of chlorophyll-a concentrations and turbidity from 2019 showed that in water bodies with less human disturbance, the correlation between chlorophyll-a concentration and turbidity was stronger than those that were heavily influenced by anthropogenic activities. The use of Sentinel-2 satellite images to retrieve the chlorophyll-a concentration and turbidity in water bodies can generally provide information on the eutrophication status of water bodies in Shanghai; the data, moreover, can serve as a reference for aquatic environmental monitoring of inland water bodies in other cities.

Key words： Sentinel-2; eutrophication; chlorophyll-a; turbidity; temporal and spatial changes; Shanghai

Cite this article

Jiahao LI , Bo TIAN , Fang CAO , Yuekai HU , Yuanqiang DUAN , Zehao XIE , Ya PENG , Wenhao JIANG , Huifang FAN . Remote sensing inversion and time-series analysis of critical parameters for eutrophication assessment of urban waters in Shanghai[J]. Journal of East China Normal University(Natural Science), 2022 , 2022(1) : 135 -147 . DOI: 10.3969/j.issn.1000-5641.2022.01.015

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