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Efficient Monitoring of Total Suspended Matter in Urban Water Based on UAV Multi-spectral Images

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Abstract

Water is not only an indispensable part of the natural environment but also an important component and basic guarantee of the urban ecological environment. Total Suspended Matter (TSM) is an important parameter to measure urban water quality. Therefore, it is essential to carry out real-time and efficient monitoring of the total suspended matter of urban water bodies to ensure water quality safety of urban water bodies. In this paper, the inversion model of TSM concentration of urban water is constructed using Unmanned Aerial Vehicle (UAV) multi-spectral images and measured TSM concentration data. The results show that: (1) The NIR band of the UAV image is highly sensitive to TSM concentration. (2) When the sample size is small, it is found that the TSM regression model is more stable and explanatory than the machine learning model. (3) The overall water quality of urban water bodies is poor, especially in areas with intense human activities such as shipping and construction. The TSM concentration in the river reaches is high, and the TSM concentration in the wider river reaches is higher than that in the narrow river channels and Landscape Lakes, and the TSM concentration remains stable in a certain length of river reaches. It can lay a foundation for further realizing real-time and efficient water quality parameter inversion in the future, and also provide an important scientific reference value for other water quality parameter inversion research, and provide theoretical basis and technical support for the scientific management of water ecological environment in urban water bodies.

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The data generated and/or analyzed during the current study are available from the corresponding author on reasonable request.

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Funding

This research was supported by grants awarded by Suzhou University of science and technology, the Youth Science Foundation Project of China (41801148).

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Authors and Affiliations

  1. School of Environmental Science and Engineering, Suzhou University of Science and Technology, Suzhou, 215009, China

    Yi Tang, Yang Pan, Lei Zhang, Hongchen Yi, Yiping Gu & Weihao Sun

Authors
  1. Yi Tang
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  2. Yang Pan
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  3. Lei Zhang
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  4. Hongchen Yi
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  5. Yiping Gu
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  6. Weihao Sun
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Contributions

All authors contributed to the research conception and design. Material preparation, data collection and analysis were performed by Lei Zhang, Hongchen Yi, Yiping Gu, and Weihao Sun. The first draft of the manuscript was written by Yi Tang and Yang Pan, and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

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Correspondence to Yi Tang or Yang Pan.

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Tang, Y., Pan, Y., Zhang, L. et al. Efficient Monitoring of Total Suspended Matter in Urban Water Based on UAV Multi-spectral Images. Water Resour Manage 37, 2143–2160 (2023). https://doi.org/10.1007/s11269-023-03484-2

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