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Long-Term Dynamics of Chlorophyll-a Concentration and Its Response to Human and Natural Factors in Lake Taihu Based on MODIS Data

Author

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  • Zihong Qin

    (South China Institute of Environmental Science, Ministry of Ecology and Environment, NO.18 Ruihe RD., Guangzhou 510535, China
    School of Geography and Planning, Nanning Normal University, Nanning 530001, China
    These authors contributed equally to this work.)

  • Baozhen Ruan

    (School of Geography and Remote Sensing, Guangzhou University, Guangzhou 510006, China
    These authors contributed equally to this work.)

  • Jian Yang

    (South China Institute of Environmental Science, Ministry of Ecology and Environment, NO.18 Ruihe RD., Guangzhou 510535, China)

  • Zushuai Wei

    (South China Institute of Environmental Science, Ministry of Ecology and Environment, NO.18 Ruihe RD., Guangzhou 510535, China)

  • Weiwei Song

    (South China Institute of Environmental Science, Ministry of Ecology and Environment, NO.18 Ruihe RD., Guangzhou 510535, China)

  • Qiang Sun

    (South China Institute of Environmental Science, Ministry of Ecology and Environment, NO.18 Ruihe RD., Guangzhou 510535, China)

Abstract

Chlorophyll-a plays an essential biochemical role in the eutrophication process, and is widely considered an important water quality indicator for assessing human activity’s effects on aquatic ecosystems. Herein, 20 years of moderate resolution imaging spectroradiometer (MODIS) data were applied to investigate the spatiotemporal patterns and trends of chlorophyll-a concentration (Chla) in the eutrophic Lake Taihu, based on a new empirical model. The validated results suggested that our developed model presented appreciable performance in estimating Chla, with a root mean square error (MAPE) of 12.95 μg/L and mean absolute percentage error (RMSE) of 29.98%. Long-term MODIS observations suggested that the Chla of Lake Taihu experienced an overall increasing trend and significant spatiotemporal heterogeneity during 2002–2021. A driving factor analysis indicated that precipitation and air temperature had a significant impact on the monthly dynamics of Chla, while chemical fertilizer consumption, municipal wastewater, industrial sewage, precipitation, and air temperature were important driving factors and together explained more than 81% of the long-term dynamics of Chla. This study provides a 20 year recorded dataset of Chla for inland waters, offering new insights for future precise eutrophication control and efficient water resource management.

Suggested Citation

  • Zihong Qin & Baozhen Ruan & Jian Yang & Zushuai Wei & Weiwei Song & Qiang Sun, 2022. "Long-Term Dynamics of Chlorophyll-a Concentration and Its Response to Human and Natural Factors in Lake Taihu Based on MODIS Data," Sustainability, MDPI, vol. 14(24), pages 1-15, December.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:24:p:16874-:d:1005082
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    References listed on IDEAS

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    1. Fernanda Sayuri Yoshino Watanabe & Enner Alcântara & Thanan Walesza Pequeno Rodrigues & Nilton Nobuhiro Imai & Cláudio Clemente Faria Barbosa & Luiz Henrique da Silva Rotta, 2015. "Estimation of Chlorophyll-a Concentration and the Trophic State of the Barra Bonita Hydroelectric Reservoir Using OLI/Landsat-8 Images," IJERPH, MDPI, vol. 12(9), pages 1-27, August.
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