2019
DOI: 10.3390/ijerph16030301
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Continuous and Periodic Monitoring System of Surface Water Quality of an Impounding Reservoir: Sulejow Reservoir, Poland

Abstract: Keywords: online monitoring; dam reservoir; water quality; multi-parameter probe; eutrophication

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Cited by 6 publications
(4 citation statements)
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“…However, due to the growing water demand, real estate speculation, and fishing activities in this ecosystem, this scenario may change and lead to the degradation of its water, thus implying the need for constant monitoring strategies for the proper management of water and correct decision-making (Ziemińska-Stolarska et al, 2019).…”
Section: Discussionmentioning
confidence: 99%
“…However, due to the growing water demand, real estate speculation, and fishing activities in this ecosystem, this scenario may change and lead to the degradation of its water, thus implying the need for constant monitoring strategies for the proper management of water and correct decision-making (Ziemińska-Stolarska et al, 2019).…”
Section: Discussionmentioning
confidence: 99%
“…The collected data were used for the calibration and validation of the modeling results. Detailed results of water and air measurements have been published by Ziemińska-Stolarska et al [64,65].…”
Section: Methodsmentioning
confidence: 99%
“…The flow of water in the Luciąża is in the range of 0.8 to 9.2 m 3 /s, with an average annual flow of 1.91 m 3 /s [57]. The results of studies on water quality in the reservoir confirm significant loading with biogenic compounds from both Pilica and Luciaza rivers [62][63][64][65].…”
Section: Study Areamentioning
confidence: 99%
“…In addition, previous studies conducted in the field have demonstrated strong correlations between sensor data and cell counts in single phytoplankton assemblages: Planktothrix rubescens, r = 0.899, n = 110 [44]; Fragilaria crotonensis, r 2 = 0.70, n = 25 [45]; and Ceratium sp., r = 0.984, n = 19 [46]. Ziemi ńska-Stolarska et al [47] examined a dataset of 650-700 data points, of which only 30 were analyzed in the laboratory. Consequently, obtaining sensor data via conventional laboratory analysis methods (e.g., microscopy) is limited and inefficient in terms of analyses, expenses, and time.…”
Section: Stage Criteriamentioning
confidence: 99%