2021
DOI: 10.1016/j.scitotenv.2020.142739
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Water quality sampling methods may bias evaluations of watershed management practices

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Cited by 11 publications
(3 citation statements)
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“…Several methods have been previously reported to increase sampling efficiency and reduce pollutant load estimation errors. These approaches include high‐frequency sampling, random subset generation, automated sampling based on flow, complementing low‐frequency fixed‐interval sampling with higher frequencies during storm events, and data‐model integration (Cassidy & Jordan, 2011; Jones et al., 2012; Minaudo et al., 2017; Reynolds et al., 2016; Rozemeijer et al., 2010; Thompson et al., 2021). In these cases, estimated biases ranged from 1% to 104%, with the best performance achieved by combining high‐frequency storm sampling with models (Minaudo et al., 2017; Rozemeijer et al., 2010).…”
Section: Discussionmentioning
confidence: 99%
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“…Several methods have been previously reported to increase sampling efficiency and reduce pollutant load estimation errors. These approaches include high‐frequency sampling, random subset generation, automated sampling based on flow, complementing low‐frequency fixed‐interval sampling with higher frequencies during storm events, and data‐model integration (Cassidy & Jordan, 2011; Jones et al., 2012; Minaudo et al., 2017; Reynolds et al., 2016; Rozemeijer et al., 2010; Thompson et al., 2021). In these cases, estimated biases ranged from 1% to 104%, with the best performance achieved by combining high‐frequency storm sampling with models (Minaudo et al., 2017; Rozemeijer et al., 2010).…”
Section: Discussionmentioning
confidence: 99%
“…Streamflow and water quality monitoring data are needed to characterize stream physical and ecological regimes, responses to climate and land use change, impairments, and pollutant loads for regulatory oversight and management (Bremer et al., 2020; Burns et al., 2019; Crawford et al., 2015; Pellerin et al., 2014; Pluth et al., 2021; Reynolds et al., 2016; Skeffington et al., 2015; Smith et al., 1997). Many studies agree that high‐frequency or even near‐continuous sampling is necessary to capture the dynamics of flow and concentration and to effectively estimate pollutant loads (Cassidy & Jordan, 2011; Gao et al., 2020; Jones et al., 2012; Kerr et al., 2018; Minaudo et al., 2017; Pellerin et al., 2014; Reynolds et al., 2016; Skeffington et al., 2015; Thompson et al., 2021). However, despite recent advances in sensor technology (Rode et al., 2016), high‐frequency sampling remains prohibitive and stream assessment still relies heavily on infrequent grab sampling, especially for emerging contaminants.…”
Section: Introductionmentioning
confidence: 99%
“…The BACI project is often used to monitor the success of renovations. The difficulty in evaluating success may result from the lack of relevant data or the inappropriate location of monitoring stations downstream [19,20]. Determining the impact of the activity of a protected species on changes in the quality of surface waters may be important in terms of planning a strategy to reduce the spread of pollutants in connection with their surface runoff from the catchment area, as well as in the development of plans for natural water protection.…”
Section: Introductionmentioning
confidence: 99%