2020
DOI: 10.1007/s10661-019-7927-9
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Implementation of a monitoring approach: the Palic-Ludas lake system in the Republic of Serbia

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Cited by 12 publications
(12 citation statements)
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“…After implementing an exhaustive analysis of the existing water quality data of Lake Palic, we concluded that it would be beneficial to conduct a short-term measuring campaign focusing on increased sampling frequency. Namely, regular samplings are performed monthly, suggesting there are 12 data sets each year for the selected locations [1,2,3]. As our previous research determined [1,2,3], this is not the case since, during the years, the monitored water quality parameters were known to be replaced.…”
Section: Measurementsmentioning
confidence: 99%
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“…After implementing an exhaustive analysis of the existing water quality data of Lake Palic, we concluded that it would be beneficial to conduct a short-term measuring campaign focusing on increased sampling frequency. Namely, regular samplings are performed monthly, suggesting there are 12 data sets each year for the selected locations [1,2,3]. As our previous research determined [1,2,3], this is not the case since, during the years, the monitored water quality parameters were known to be replaced.…”
Section: Measurementsmentioning
confidence: 99%
“…The sensitive water quality of Lake Palic has caused numerous task groups to implement different investigations to determine the causes of poor water quality and provide suggestions for its enhancement [1,2,3]. One major issue is the restricted spatial and temporal water quality data [2,3].…”
Section: Introductionmentioning
confidence: 99%
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“…This paper describes further research regarding the spatial water quality distribution along the shoreline of Lake Palic's fourth sector (Autonomous Province of Vojvodina, Republic of Serbia). Namely, after the previously conducted all-inclusive analysis of the existing monthly water quality data [1,2,3], the Authors concluded additional research could prove beneficial. Proper understanding of the gathered data highly depends on the quality of the measurements.…”
Section: Introductionmentioning
confidence: 99%