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MODERN TECHNOLOGIES FOR WATER QUALITY MONITORING IN RESERVOIRS
Abstract
Modern water quality monitoring in reservoir systems increasingly involves the use of multiparameter sensors and mobile measurement platforms capable of providing accurate, high-resolution data in both spatial and temporal domains. This study presents the results of a field campaign conducted at the Dobczyce Reservoir in southern Poland, where two complementary measurement strategies were employed: manual vertical profiling at fixed points, and continuous near-surface monitoring during in-motion transects using a small unmanned surface vehicle (USV). The study focused on assessing the effectiveness of these technologies for capturing key physicochemical indicators of water quality, including temperature, pH, electrical conductivity, dissolved oxygen, turbidity, and blue-green algae concentrations. The results demonstrated a relatively uniform distribution of parameters in the vertical profiles, as well as spatial variability along the surface transect. Practical limitations related to sensor positioning during motion were also identified, particularly the upward drift of the probe due to hydrodynamic forces, which impacted the accuracy of depth-resolved measurements. These findings support the use of USV-based platforms and multiparameter sensing systems as valuable tools for enhancing the spatial coverage and operational flexibility of water quality monitoring programs in dam reservoirs.
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Szewczyk M., Tomczyk P., Wiatkowski M., Water Management on Drinking Water Reservoirs in the Aspect of Climate Variability: A Case Study of the Dobromierz Dam Reservoir, Poland, Sustainability, Switzerland, 16, 15, 2024, 6478, ISSN 2071-1050, DOI: 10.3390/su16156478
Zhang Y., Shen J., He L., Feng J., Chi L., Wang X., Challenge to Lake Ecosystems: Changes in Thermal Structure Triggered by Climate Change, Water, Switzerland, 16, 6, 888, 2024, ISSN 2073-4441, DOI: 10.3390/w16060888
Smucker N. J., Beaulieu J. J., Nietch C. T., Young J. L., Increasingly severe cyanobacterial blooms and deep water hypoxia coincide with warming water temperatures in reservoirs, Global Change Biology, UK, 27, 11, pp 2507�2519, 2021, ISSN 1354-1013, DOI: 10.1111/gcb.15618
Chavhan N., APAH: An autonomous IoT driven real-time monitoring system for Industrial wastewater, Digital Chemical Engineering, Netherlands, 14, 100217, 2025, ISSN 2590-178X, DOI: 10.1016/j.dche.2025.100217
Bresciani M., Monitoring water quality in two dammed reservoirs from multispectral satellite data, European Journal of Remote Sensing, UK, 52, pp 1�10, 2019, ISSN 2279-7254, DOI: 10.1080/22797254.2019.1686956
Wang J., Garthwaite M. C., Wang C., Hellen L., Development of a Multi-Sensor GNSS-IoT System for Precise Water Surface Elevation Measurement, Sensors, Switzerland, 25, 11, 3566, 2025, ISSN 1424-8220, DOI: 10.3390/s25113566
Bozzano M., Varni F., De Martino M., Quarati A., Tambroni N., Federici B., An Integrated Approach to Riverbed Morphodynamic Modeling Using Remote Sensing Data, Journal of Marine Science and Engineering, Switzerland, 12, 11, 2055, 2024, ISSN 2077-1312, DOI: 10.3390/jmse12112055
Muniz D. H. F., Oliveira-Filho E. C., Multivariate Statistical Analysis for Water Quality Assessment: A Review of Research Published between 2001 and 2020, Hydrology, Switzerland, 10, 10, 196, 2023, ISSN 2306-5338, DOI: 10.3390/hydrology10100196
Ioele G., Assessment of Surface Water Quality Using Multivariate Analysis: Case Study of the Crati River, Italy, Water, Switzerland, 12, 8, 2214, 2020, ISSN 2073-4441, DOI: 10.3390/w12082214
Mazur R., Kowalewski Z., Glowienka E., Santos L., Jakubiak M., Sustainability in Aquatic Ecosystem Restoration: Combining Classical and Remote Sensing Methods for Effective Water Quality Management, Sustainability, Switzerland, 16, 9, 3716, 2024, ISSN 2071-1050, DOI: 10.3390/su16093716
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