2004
DOI: 10.1016/j.ecoleng.2004.09.003
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Effects of wetland depth and flow rate on residence time distribution characteristics

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Cited by 139 publications
(77 citation statements)
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“…An inverse correlation between wetland size and water quality (104) supports this inference. Finally, long residence times due to intermittent or slow connections (105,106) facilitate completion of kinetically limited reactions (e.g., P sorption into minerals, complex organic molecule mineralization), enhancing sink functions. Although maximum retention efficiency occurs when reaction rates and residence times align (107), loss of high reactivity and long residence time landscape elements alters overall fluxes, particularly when GIWs are embedded in solute-generating areas (e.g., where fertilizer is applied) (101).…”
Section: Fig 2 Across Blocks (A-h Maps Inmentioning
confidence: 99%
“…An inverse correlation between wetland size and water quality (104) supports this inference. Finally, long residence times due to intermittent or slow connections (105,106) facilitate completion of kinetically limited reactions (e.g., P sorption into minerals, complex organic molecule mineralization), enhancing sink functions. Although maximum retention efficiency occurs when reaction rates and residence times align (107), loss of high reactivity and long residence time landscape elements alters overall fluxes, particularly when GIWs are embedded in solute-generating areas (e.g., where fertilizer is applied) (101).…”
Section: Fig 2 Across Blocks (A-h Maps Inmentioning
confidence: 99%
“…However, this removal rate was obviously lower than that reported by Chen et al, who reported that the mean concentration removal efficiencies in the eco-ditch for TN, NO 3 − -N, and NH4 + -N were 75.8%, 63.7%, and 77.9%, respectively [38]; this difference may have been caused by higher initial concentrations of these substances than those reported by Chen et al Pond wetlands are ecological purification systems composed of muddy sediments, plants, and microbes. Multiple factors affect purification effects, such as wetland surface area, physical and chemical properties of sediments, wetland plants, microbial growth, physiological and biochemical activities, hydraulic retention time, and water depth [39][40][41]. This study showed that the respective removal rates for TN and TP can reach above 8.6% and 22.9% through dredging of sediments, selection of appropriate wetland plants, and control of hydraulic retention time and paddy to wetland area ratio.…”
Section: Discussionmentioning
confidence: 93%
“…Flow and mixing patterns through backwater systems like the Finger Lakes are typically not at steady state or fully mixed reactors (Holland et al 2004). Bathymetric complexity, embayments, dendritic shoreline features, and aquatic macrophytes affect the distribution of flow patterns, resulting in spatial differences in nitrate nitrite-N delivery, which would be a determinant in overall nitrate nitrite-N uptake capacity and efficiency.…”
Section: Resultsmentioning
confidence: 99%