Denitrification in the vadose zone: Modelling with percolating water prognosis and denitrification potential.

dc.contributor.authorLenhart, Simon
dc.contributor.authorOrtmeyer, Felix
dc.contributor.authorBanning, Andre
dc.date.accessioned2021-11-24T12:41:48Z
dc.date.available2021-11-24T12:41:48Z
dc.date.issued2021-05-29
dc.date.updated2021-11-23T14:34:07Z
dc.description.abstractTransport and transformation processes of nitrogen in the soil are an essential part of understanding the relationship between agricultural input and nitrate (NO3−) concentrations in groundwater. The presented study describes these transformation processes around NO3− degradation at a water catchment in the Lower Rhine Embayment, Germany. Despite intensive agriculture, extracted groundwater at a depth of 21 to 22 m shows unexpectedly very low NO3− levels, below 3 mg/L NO3− for all wells. The local water supplier therefore carried out investigations in this area and generated soil data from 22 representative areas (142 soil samples from 82 drilling meters from the surface to a max. depth of 5.5 m) and groundwater analyses from 17 groundwater monitoring wells (from 3 to 5 m below ground surface). Soil types are predominantly luvisol and gleysol. The substrate in the topsoil is mainly clayey silt; underneath there are mostly medium-grained sands with partial silt intercalations which appear as a separate layer. Based on this dataset, the percolating water residence times and the NO3− leaching potential were calculated in this study. Together with the nitrogen surplus and with the help of reactive transport modelling, the denitrification potential in the vadose zone was simulated. The comparison of simulation results with laboratory-measured data shows a high correlation. Substantial NO3− reduction in the vadose zone was observed: dependent on soil type, reduction capacity and water residence time, up to 25% of the NO3− was reduced here. The applied modelling is considered an improvement in NO3− degradation potential assessment because it considers many relevant variables such as precipitation, soil parameters (grain size, field capacity, available water capacity, coarse fragments) and nitrogen input. Therefore, a transfer to other sites with comparable hydro(geo)logical conditions is possible, also due to relatively easily determinable input data. This assessment of nitrogen degradation in the vadose zone will be a useful tool for NO3− levels forecast in groundwater.en
dc.description.statusPeer revieweden
dc.description.versionPublished Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.articleid103843en
dc.identifier.citationLenhart, S., Ortmeyer, F. and Banning, A. (2021) 'Denitrification in the vadose zone: Modelling with percolating water prognosis and denitrification potential', Journal of Contaminant Hydrology, 242, 103843 (10 pp). doi: 10.1016/j.jconhyd.2021.103843en
dc.identifier.doi10.1016/j.jconhyd.2021.103843en
dc.identifier.endpage10en
dc.identifier.issn1873-6009
dc.identifier.journaltitleJournal of Contaminant Hydrologyen
dc.identifier.startpage1en
dc.identifier.urihttps://hdl.handle.net/10468/12256
dc.identifier.volume242en
dc.language.isoenen
dc.publisherElsevieren
dc.relation.urihttps://www.sciencedirect.com/science/article/pii/S0169772221000826
dc.rights© 2021 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectNitrateen
dc.subjectGroundwateren
dc.subjectAgricultureen
dc.subjectDegradationen
dc.subjectHydrogeochemistryen
dc.titleDenitrification in the vadose zone: Modelling with percolating water prognosis and denitrification potential.en
dc.typeArticle (peer-reviewed)en
Files
Original bundle
Now showing 1 - 2 of 2
Loading...
Thumbnail Image
Name:
1-s2.0-S0169772221000826-main.pdf
Size:
2.49 MB
Format:
Adobe Portable Document Format
Description:
Published version
Loading...
Thumbnail Image
Name:
1-s2.0-S0169772221000826-mmc1.docx
Size:
31.37 KB
Format:
Microsoft Word XML
Description:
Supplementary material
License bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
2.71 KB
Format:
Item-specific license agreed upon to submission
Description: