2019
DOI: 10.2134/jeq2018.12.0442
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Nitrogen Removal in Woodchip‐based Biofilters of Variable Designs Treating Agricultural Drainage Discharges

Abstract: The hydraulic design influences seasonal and annual N removal efficiency.• Water temperature and hydraulic residence time control N removal efficiency.• Operational models can be used for dimensioning biofilters for N removal efficiency.

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Cited by 18 publications
(19 citation statements)
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“…Absolute removal was reported relative to mitigation measures surface area in our review, however, another possibility would be to report absolute removal per catchment area, however, the estimate of catchment areas are often very uncertain, adding more uncertainty to the removal estimate. The HLR also influence relative removal, where the removal efficiency tends to increase with decreasing HLR (Vymazal 2017 ; Hoffmann et al 2019 ) (Fig. S2 ), though temperature is at least as important.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Absolute removal was reported relative to mitigation measures surface area in our review, however, another possibility would be to report absolute removal per catchment area, however, the estimate of catchment areas are often very uncertain, adding more uncertainty to the removal estimate. The HLR also influence relative removal, where the removal efficiency tends to increase with decreasing HLR (Vymazal 2017 ; Hoffmann et al 2019 ) (Fig. S2 ), though temperature is at least as important.…”
Section: Discussionmentioning
confidence: 99%
“…Denitrification requires anoxic conditions, electron donors and availability of organic carbon. If these requirements are met, the rate of the denitrification is mainly controlled by temperature and the hydraulic retention time (HRT), which is inversely proportional to the water flow rate (Kadlec and Knight 1996 ; Hoffmann et al 2019 ). The water flow from subsurface drainage systems is driven by precipitation and snowmelt and, thus, varies greatly on a temporal as well as a spatial scale (Skaggs and van Schilfgaarde 1999 ).…”
Section: Introductionmentioning
confidence: 99%
“…These bioreactors are based on microbial conversion of NO 3 − to atmospheric N gases and are well suited to treat the polluted water coming directly from subsurface drains [ 7 , 8 ]. Nitrate removal may be virtually complete under conditions with high hydraulic residence time and temperature [ 9 ], but WBRs typically show annual mean efficiencies of about 50% [ 10 , 11 , 12 ]. This reflects that the NO 3 − removal efficiency may drop to 10–20% at low water temperatures (~5 °C), due to the temperature response of the woodchip microbiome [ 11 , 12 , 13 ].…”
Section: Introductionmentioning
confidence: 99%
“…Nitrate removal may be virtually complete under conditions with high hydraulic residence time and temperature [ 9 ], but WBRs typically show annual mean efficiencies of about 50% [ 10 , 11 , 12 ]. This reflects that the NO 3 − removal efficiency may drop to 10–20% at low water temperatures (~5 °C), due to the temperature response of the woodchip microbiome [ 11 , 12 , 13 ]. This drop in NO 3 − removal efficiency is a notable drawback in climate zones where the temperature is low during the main agricultural drainage season [ 14 ].…”
Section: Introductionmentioning
confidence: 99%
“…Nitrate‐nitrogen removal rate (NRR) of WDBRs is strongly dependent on hydraulic residence time (HRT) and temperature (Hoffman, Larsen, & Kjaergaard, 2019; Hoover, Bhandari, Soupir, & Moorman, 2016). Bioreactors typically operate with HRTs from 6 to 20 h (Addy et al., 2016), with longer times required during colder springtime conditions (Hoover et al., 2016) when a substantial portion of annual tile drainage flows in the northern U.S. Corn Belt (Jin & Sands, 2003).…”
Section: Introductionmentioning
confidence: 99%