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@ARTICLE{Wendland:874242,
author = {Wendland, Frank and Bergmann, Sabine and Eisele, Michael
and Gömann, Horst and Herrmann, Frank and Kreins, Peter and
Kunkel, Ralf},
title = {{M}odel-{B}ased {A}nalysis of {N}itrate {C}oncentration in
the {L}eachate—{T}he {N}orth {R}hine-{W}estfalia {C}ase
{S}tudy, {G}ermany},
journal = {Water},
volume = {12},
number = {2},
issn = {2073-4441},
address = {Basel},
publisher = {MDPI},
reportid = {FZJ-2020-01333},
pages = {550 -},
year = {2020},
abstract = {Reaching the EU quality standard for nitrate (50 mg NO3/L)
in all groundwater bodies is a challenge in the Federal
State of North Rhine-Westfalia (Germany). In the research
project GROWA+ NRW 2021 initiated by the Federal States’
Ministry for Environment, Agriculture, Nature and Consumer
Protection, amongst other aspects, a model-based analysis of
agricultural nitrogen inputs into groundwater and nitrate
concentration in the leachate was carried out. For this
purpose, the water balance model mGROWA, the agro-economic
model RAUMIS, and the reactive N transport model DENUZ were
coupled and applied consistently across the whole territory
of North Rhine-Westfalia with a spatial resolution of 100 m
× 100 m. Besides agricultural N emissions, N emissions from
small sewage plants, urban systems, and NOx deposition were
also included in the model analysis. The comparisons of the
modelled nitrate concentrations in the leachate of different
land use influences with observed nitrate concentrations in
groundwater were shown to have a good correspondence with
regard to the concentration levels across all regions and
different land-uses in North Rhine-Westphalia. On the level
of ground water bodies (according to EU ground water
directive) N emissions exclusively from agriculture led to
failure of the good chemical state. This result will support
the selection and the adequate dimensioning of regionally
adapted agricultural N reduction measures},
cin = {IBG-3},
ddc = {690},
cid = {I:(DE-Juel1)IBG-3-20101118},
pnm = {255 - Terrestrial Systems: From Observation to Prediction
(POF3-255)},
pid = {G:(DE-HGF)POF3-255},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000519846500241},
doi = {10.3390/w12020550},
url = {https://juser.fz-juelich.de/record/874242},
}