2021
DOI: 10.1016/j.chemosphere.2021.130736
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Seasonal and spatial dynamics of selected pesticides and nutrients in a small lake catchment – Implications for agile monitoring strategies

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Cited by 10 publications
(4 citation statements)
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“…The measurement of a few grab samples spatially distributed proved to be an agile, efficient and effective strategy to narrow down influential contamination sources. Successful results for sources identification by means of non-intensive spatial monitoring are also obtained by Warner et al (2021). Our monitoring relying upon previous knowledge about diel fluctuations in dry periods further revealed the large variability per compound depending on the time of the day.…”
Section: Surface Watermentioning
confidence: 61%
“…The measurement of a few grab samples spatially distributed proved to be an agile, efficient and effective strategy to narrow down influential contamination sources. Successful results for sources identification by means of non-intensive spatial monitoring are also obtained by Warner et al (2021). Our monitoring relying upon previous knowledge about diel fluctuations in dry periods further revealed the large variability per compound depending on the time of the day.…”
Section: Surface Watermentioning
confidence: 61%
“…The area surrounding the lake is only sparsely populated with small villages, and no industry is located in the catchment. Residential wastewater is not allowed to be discharged into the lake, nor the inflow; the absence of such contamination has been recently confirmed [21]. Most of the catchment area is used for agriculture; the resulting inputs of pesticides and their metabolites into the lake have recently been characterized [21].…”
Section: Sampling Locationmentioning
confidence: 99%
“…Intensive anthropogenic pressure such as high inputs of nutrients and pesticides severely threaten most European water bodies (Warner et al, 2021;Kalinowska et al, 2020). Agriculture is the leading source of non-point sources of water pollution (Ribaudo and Johansson, 2020), especially in terms of the runoff process (Ross et al, 2022;Zajíček et al, 2018).…”
Section: Introductionmentioning
confidence: 99%