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

Yi Tang (), Yang Pan (), Lei Zhang, Hongchen Yi, Yiping Gu and Weihao Sun
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Yi Tang: Suzhou University of Science and Technology
Yang Pan: Suzhou University of Science and Technology
Lei Zhang: Suzhou University of Science and Technology
Hongchen Yi: Suzhou University of Science and Technology
Yiping Gu: Suzhou University of Science and Technology
Weihao Sun: Suzhou University of Science and Technology

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2023, vol. 37, issue 5, No 17, 2143-2160

Abstract: 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.

Keywords: Unmanned Aerial Vehicle (UAV); Urban water; Total Suspended Matter (TSM); Regression model; Water quality (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s11269-023-03484-2

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