2016
DOI: 10.1016/j.scitotenv.2016.07.053
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Disentangling the influence of hydroclimatic patterns and agricultural management on river nitrate dynamics from sub-hourly to decadal time scales

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Cited by 113 publications
(144 citation statements)
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“…6). In addition to this lateral differentiation of NO − 3 , DOC and SRP sources, a vertical distribution has previously been observed (e.g., Musolff et al, 2016a) or hypothesized (e.g., Dupas et al, 2016b) for NO − 3 , with higher NO − 3 concentrations in the uppermost soil layers compared to deeper soil layers, leading to higher NO − 3 concentrations in the stream during the wet season due to activation of shallow flow pathways. The hypothesis of a vertical differentiation of concentrations controlling seasonal variations in concentrations cannot apply to DOC and SRP because these two elements are also expected to be present in higher concentrations in the uppermost soil layers and this should therefore lead to seasonal DOC and SRP variations similar to NO − 3 .…”
Section: Land-to-stream Transfermentioning
confidence: 58%
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“…6). In addition to this lateral differentiation of NO − 3 , DOC and SRP sources, a vertical distribution has previously been observed (e.g., Musolff et al, 2016a) or hypothesized (e.g., Dupas et al, 2016b) for NO − 3 , with higher NO − 3 concentrations in the uppermost soil layers compared to deeper soil layers, leading to higher NO − 3 concentrations in the stream during the wet season due to activation of shallow flow pathways. The hypothesis of a vertical differentiation of concentrations controlling seasonal variations in concentrations cannot apply to DOC and SRP because these two elements are also expected to be present in higher concentrations in the uppermost soil layers and this should therefore lead to seasonal DOC and SRP variations similar to NO − 3 .…”
Section: Land-to-stream Transfermentioning
confidence: 58%
“…In contrast to DOC and SRP, NO − 3 storm dynamics exhibited a majority of dilution patterns in LS-Agr and a combination of dilution and accretion pattern in US-Agr. This suggests that soil NO − 3 concentrations in LS-Agr were lower than in the subsoil, due to plant uptake in the soil and presence of legacy NO − 3 in the subsoil of LS-Agr (Outram et al, 2016), whereas soil NO − 3 concentrations in US-Agr could be lower or higher than in the subsoil according to seasonal variability in soil NO − 3 availability and possibility lateral difference between non-cultivated riparian soils and cultivated upslope soils (Dupas et al, 2016b). Therefore, both lateral and vertical gradients of N sources can explain variability in NO − 3 storm responses.…”
Section: Land-to-stream Transfermentioning
confidence: 99%
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“…Responses of NO 3 -N and DOC concentration dynamics varied between nutrients and between storm events (as discussed in more detail below). NO 3 -N concentrations were typically diluted on the rising limbs of storm hydrographs, most likely due to the rapid delivery of relatively low-concentration water transferred to the stream channel from near-surface soil flow paths in the early stages of each event [Outram et al, 2014;Dupas et al, 2016], whereas patterns in DOC concentrations generally exhibited flushing behavior through storm events. In contrast to the relatively high variability between NO 3 -N and DOC …”
Section: Temporal Dynamics Of Streamflow No 3 -N and Docmentioning
confidence: 99%
“…[3]): L=Ki=1nCiQii=1nQiQr where C i and Q i are instantaneous high‐frequency concentration and discharge data, L is the load estimate, Q r is the average flow discharge based on the long‐term data, K is a unit conversion factor, and n is the number of concentration measurements. Storm events were detected from 15‐min flow data and defined as events with an increase in discharge of at least 0.2 m 3 s −1 and a decrease in discharge of at least 50% after the peak discharge (Bieroza and Heathwaite, 2015; Dupas et al, 2016). …”
Section: Methodsmentioning
confidence: 99%