Mobile Water Quality Sensors in Monitoring Hotspots of River Surface Water Pollution

Yi-Lin Zhou; Wen-Hui Wu

doi:10.35745/ijesp2024v04.03.0002

Research Article

Mobile Water Quality Sensors in Monitoring Hotspots of River Surface Water Pollution

Yi-Lin Zhou ¹ ^* , Wen-Hui Wu ¹

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¹ Environmental Protection Bureau of Tainan City Government, Tainan 701044, Taiwan^* Corresponding Author

International Journal of Environmental Sustainability and Protection, 4(3), September 2024, 13-17, https://doi.org/10.35745/ijesp2024v04.03.0002

Published: 07 November 2024

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ABSTRACT

Mobile water quality sensors in monitoring hotspots of river surface water pollution allow for an efficient and flexible inspection. Traditional fixed monitoring stations often fail to capture the dynamic changes in water pollution, whereas mobile sensors are used to monitor large water bodies and detect abnormalities in pollution hotspots in real-time. Utilizing the advantages of mobile sensors and data processing methods, river pollution inspection can be carried out effectively. Experiment results show that the sensitivity and accuracy of pollution monitoring are enhanced, enabling timely remediation actions.

Keywords: Mobile Sensors, Water Quality, River Pollution Monitoring, Environmental Analysis

CITATION (APA)

Zhou, Y.-L., & Wu, W.-H. (2024). Mobile Water Quality Sensors in Monitoring Hotspots of River Surface Water Pollution. International Journal of Environmental Sustainability and Protection, 4(3), 13-17. https://doi.org/10.35745/ijesp2024v04.03.0002

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[1] Lee, J. H., & Bang, K. W. Characterization of urban stormwater runoff. Water Research 2000, 34(6), 1773−1780.

[2] Meyer, J. L., Paul, M. J., & Taulbee, W. K. Stream ecosystem function in urbanizing landscapes. Journal of the North American Benthological Society 2005, 24(3), 602−612.

[3] Huber, W. C., & Dickinson, R. E. (1988). Stormwater Management Model, Version 4: User’s Manual. US Environmental Protection Agency, Athens, GA.

[4] Mitchell, R. J., McDonald, R. I., & Heller, N. E. The future of water in California: Using scenarios to evaluate management strategies in the face of complexity. Environmental Management 2014, 54(5), 1094−1109.

[5] Thompson, S. P., & Yates, A. G. Assessing the effectiveness of agricultural best management practices for reducing phosphorus loading to wetlands. Environmental Management 2014, 54(5), 1100−1109.

[6] Bhaduri, B., Harbor, J., Engel, B., & Grove, M. Assessing watershed−scale, long−term hydrologic impacts of land−use change using a GIS−NPS model. Environmental Management 2000, 26(6), 643−658.

[7] Jordan, T. E., Correll, D. L., & Weller, D. E. Effects of agriculture on discharges of nutrients from coastal plain watersheds of Chesapeake Bay. Journal of Environmental Quality 1997, 26(4), 836−848.

[8] Qin, N., He, W., Kong, X. Z., Liu, W. X., Wang, Y., & Yang, B. Distributions, sources, and ecological risks of selected trace elements in surface water and sediment of the Hanjiang River, China. Journal of Environmental Sciences 2014, 26(1), 118−128.

[9] Ahuja, S. Monitoring Water Quality: Pollution Assessment, Analysis, and Remediation. Amsterdam, The Netherlands: Elsevier, 2013.

[10] Shrestha, S., & Kazama, F. Assessment of surface water quality using multivariate statistical techniques: A case study of the Fuji River basin, Japan. Environmental Modelling & Software 2007, 22(4), 464−475.

[11] Chang, N. B., Wen, C. G., & Chen, H. W. Decision support system for planning water reuse system in small and isolated urban areas. Water Science and Technology 1998, 38(11), 15−22.

[12] Pesce, S. F., & Wunderlin, D. A. Use of water quality indices to verify the impact of Córdoba City (Argentina) on Suquía River. Water Research 2000, 34(11), 2915−2926.