2010
DOI: 10.1016/j.envsoft.2009.10.012
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A sensor network for high frequency estimation of water quality constituent fluxes using surrogates

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Cited by 99 publications
(61 citation statements)
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“…However, due to resource constraints and the complex temporal distribution of naturally transported fine sediment, these approaches are typically biased towards lower flows and concentrations (Carere et al, 2012;Johnes, 2007). These strategies rarely capture the state of the system when erosive processes, and connectivity across the catchment are most active (Ockenden et al, 2016;Perks et al, 2015), failing to reflect the nature of sedimentassociated pollutant transport at appropriately high temporal and spatial scales (Eriksson et al, 2007;Horsburgh et al, 2010). As such, these monitoring campaigns are not robust or rigorous enough to provide realistic estimates of fluxes, or average pollutant concentrations (Etchells et al, 2005;Gray, 1999;Irvine et al, 2002).…”
Section: Introductionmentioning
confidence: 99%
“…However, due to resource constraints and the complex temporal distribution of naturally transported fine sediment, these approaches are typically biased towards lower flows and concentrations (Carere et al, 2012;Johnes, 2007). These strategies rarely capture the state of the system when erosive processes, and connectivity across the catchment are most active (Ockenden et al, 2016;Perks et al, 2015), failing to reflect the nature of sedimentassociated pollutant transport at appropriately high temporal and spatial scales (Eriksson et al, 2007;Horsburgh et al, 2010). As such, these monitoring campaigns are not robust or rigorous enough to provide realistic estimates of fluxes, or average pollutant concentrations (Etchells et al, 2005;Gray, 1999;Irvine et al, 2002).…”
Section: Introductionmentioning
confidence: 99%
“…For short-lived erroneous events, anomalies were removed through linear interpolation of adjacent values (cf. Horsburgh et al, 2010). …”
Section: Hydrometeorologymentioning
confidence: 99%
“…Such intensive manual sampling programmes are, however, impractical to sustain for prolonged periods, both in terms of physical and financial resources, and because samples, returned to the laboratory for analysis, are also subject to issues of sample stability (Halliday et al, 2012). Automated instrumental methods are needed to make progress by minimising sample degradation and allowing the study of short-term dynamics when the instream biological response is likely to be most evident (Horsburgh et al, 2010).…”
Section: Introductionmentioning
confidence: 99%