2016
DOI: 10.1016/j.jhydrol.2016.02.001
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Exposure times rather than residence times control redox transformation efficiencies in riparian wetlands

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Cited by 18 publications
(14 citation statements)
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“…For many compounds, such as pharmaceuticals and nitrate, hyporheic reactivity is, furthermore, dependent on redox conditions in the HZ. To properly assess the relative contribution of the HZ to overall in-stream removal of these compounds, it could, therefore, be more appropriate to not only quantify the overall residence time in the HZ but also to disentangle reach-scale exposure times to different redox conditions in streambed sediments [241]. The hyporheic turnover length (i.e., the distance that is required for streamflow to be entirely exchanged with the HZ) increases with river discharge [18].…”
Section: Innovative Modelling Approachesmentioning
confidence: 99%
“…For many compounds, such as pharmaceuticals and nitrate, hyporheic reactivity is, furthermore, dependent on redox conditions in the HZ. To properly assess the relative contribution of the HZ to overall in-stream removal of these compounds, it could, therefore, be more appropriate to not only quantify the overall residence time in the HZ but also to disentangle reach-scale exposure times to different redox conditions in streambed sediments [241]. The hyporheic turnover length (i.e., the distance that is required for streamflow to be entirely exchanged with the HZ) increases with river discharge [18].…”
Section: Innovative Modelling Approachesmentioning
confidence: 99%
“…Whilst riparian wetlands have been shown to act as biogeochemical cycling hotspots, with the potential to transform and attenuate the nutrient and geochemistry signal from the catchment as it moves from land to water [1,3,[17][18][19], the efficacy of this function in real terms is controlled by the specific distribution of functional zones or biogeochemical cycling hotspots within the wetland. These in turn are controlled by the chemical character and distribution of contributing source areas of flow to the wetland between and within a water year, flow routing through the wetland, the residence time of water within the wetland and contact or exposure time between the microbial community and the nutrient parcel transitioning through the wetland; while soil organic carbon content and dissolved organic matter in porewaters acts as an energy resource to support denitrification, with redox status varying laterally, vertically and over time [7,11,20,21]. Reported denitrification rates vary widely within and between riparian wetlands, and over time, with annual rates reported to vary from <3 kg N ha −1 to >500 kg N ha −1 in denitrification hotspots in wet meadow systems, and <4 kg N ha −1 to >65 kg N ha −1 in riparian forests [22].…”
Section: Introductionmentioning
confidence: 99%
“…The latter might comprise any, or a combination, of diffuse flow into the wetland from adjacent hillslopes, road runoff, diffuse influx from groundwater recharge through the valley gravels underlying the wetland, or influx of water from the adjacent river. The dominant hydraulic gradient and thus the source of wetland soil porewaters is likely to vary both in time and space, altering the rate and origins of nutrient influx to the wetland, and the contact time between the wetland plant and microbial communities and the nutrient load in transit which has been reported in previous studies to be a key control on processes such as soil redox and ultimately denitrification in wetland soils [11,20]. This in turn would influence the speciation of the nutrient load as it moves through the wetland.…”
mentioning
confidence: 97%
“…In the latter approach, the exposure to conditions suitable for a reaction was defined as a binary switch: the exposure‐time clock stopped in nonreactive zones while it progressed with a constant speed in reactive zones. Frei and Peiffer () defined the exposure time for denitrification as the travel time in which the oxygen concentration was below an inhibitory concentration, thus also using a binary, although dynamic, switch.…”
Section: Introductionmentioning
confidence: 99%