Szczegóły publikacji

Opis bibliograficzny

Modern technologies for water quality monitoring in reservoirs / Tymoteusz TURLEJ // W: SGEM 2025 [Dokument elektroniczny] : proceedings of 25th international multidisciplinary Scientific GeoConference : 29 June–6 July 2025, Albena, Bulgaria. Vol. 25, iss. 3.1 , Water resources, forest, marine, and ocean ecosystems / eds. Baiba Rivza, Ildiko Tulbure, Oleksandr Trofymchuk. — Wersja do Windows. — Dane tekstowe. — [Sofia] : STEF92 Technology, [2025]. — ( International Multidisciplinary Scientific GeoConference SGEM ; ISSN  1314-2704 ). — e-ISBN: 978-619-7603-81-1. — S. 169–177. — Wymagania systemowe: Adobe Reader. — Tryb dostępu: https://epslibrary.at/sgem_jresearch_publication_view.php?pag... [2025-12-17]. — Bibliogr. s. 176–177, Abstr. — Dostęp po zalogowaniu

Autor

Słowa kluczowe

USVunmanned surface vehiclemultiparameter sensorsreservoir modellingwater quality monitoringDobczyce Reservoir

Dane bibliometryczne

ID BaDAP165047
Data dodania do BaDAP2026-01-08
DOI10.5593/sgem2025/3.1/s11.21
Rok publikacji2025
Typ publikacjimateriały konferencyjne (aut.)
Otwarty dostęptak
Czasopismo/seriaInternational Multidisciplinary Scientific GeoConference SGEM

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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