4.7 Article

Remote monitoring of total dissolved phosphorus in eutrophic Lake Taihu based on a novel algorithm: Implications for contributing factors and lake management

期刊

ENVIRONMENTAL POLLUTION
卷 296, 期 -, 页码 -

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.envpol.2021.118740

关键词

Total dissolved phosphorus; Lake eutrophication; Remote sensing; Lake Taihu

资金

  1. National Natural Science Foundation of China [U2102207, 42071299, 42101384]
  2. Major Projects of High Resolution Earth Observation Systems of National Sci-ence and Technology [05-Y30B01-9001-19/20-2]
  3. Natural Science Foundation of Jiangsu Province [BK20210043]
  4. Water Conservancy Science and Technology Project of Jiangxi Province [202124ZDKT29]
  5. Research Foundation of Nanjing Hydraulic Research Institute [Y921002, Y921008]
  6. Key Lab of Advanced Optical Manufacturing Technologies of Jiangsu Province, Soochow University [KJS2141]

向作者/读者索取更多资源

Understanding the spatiotemporal dynamics of total dissolved phosphorus concentration (C-TDP) and its regulatory factors is crucial for improving our understanding of its impact on inland water eutrophication. In this study, a novel bio-optical algorithm was developed and tested in Lake Taihu, China, yielding robust and portable results. Furthermore, analysis based on Geostationary Ocean Color Imager observations revealed significant spatiotemporal heterogeneity of C-TDP in Lake Taihu, with air temperature identified as the dominant regulating factor in its variations.
Understanding the spatiotemporal dynamics of total dissolved phosphorus concentration (C-TDP) and its regulatory factors is essential to improving our understanding of its impact on inland water eutrophication, but few studies have assessed this in eutrophic inland lakes due to a lack of suitable bio-optical algorithms allowing the use of remote sensing data. We developed a novel semi-analytical algorithm for this purpose and tested it in the eutrophic Lake Taihu, China. Our algorithm produced robust results with a mean absolute square percentage error of 29.65% and root mean square error of 9.54 mu g/L. Meanwhile, the new algorithm demonstrates good portability to other waters with different optical properties and could be applied to various image data, including Moderate Resolution Imaging Spectroradiometer (MODIS), Medium Resolution Imaging Spectrometer (MERIS), and Ocean and Land Color Instrument (OLCI). Further analysis based on Geostationary Ocean Color Imager observations from 2011 to 2020 revealed a significant spatiotemporal heterogeneity of C-TDP in Lake Taihu. Correlation analysis of the long-term trend between C-TDP and driving factors demonstrated that air temperature is the dominant regulating factor in variations of C-TDP. This study provides a novel algorithm allowing remote-sensing monitoring of C-TDP in eutrophic lakes and can lead to new insights into the role of dissolved phosphorus in water eutrophication.

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