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dc.contributor.author
Doppler, Tobias
dc.contributor.author
Honti, Mark
dc.contributor.author
Zihlmann, Urs
dc.contributor.author
Weisskopf, Peter
dc.contributor.author
Stamm, Christian H.
dc.date.accessioned
2019-06-06T10:53:00Z
dc.date.available
2017-06-11T13:19:36Z
dc.date.available
2019-06-06T10:53:00Z
dc.date.issued
2014
dc.identifier.issn
1027-5606
dc.identifier.issn
1607-7938
dc.identifier.other
10.5194/hess-18-3481-2014
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/91463
dc.identifier.doi
10.3929/ethz-b-000091463
dc.description.abstract
Spatially distributed models are popular tools in hydrology claimed to be useful to support management decisions. Despite the high spatial resolution of the computed variables, calibration and validation is often carried out only on discharge time series at specific locations due to the lack of spatially distributed reference data. Because of this restriction, the predictive power of these models, with regard to predicted spatial patterns, can usually not be judged. An example of spatial predictions in hydrology is the prediction of saturated areas in agricultural catchments. These areas can be important source areas for inputs of agrochemicals to the stream. We set up a spatially distributed model to predict saturated areas in a 1.2 km2 catchment in Switzerland with moderate topography and artificial drainage. We translated soil morphological data available from soil maps into an estimate of the duration of soil saturation in the soil horizons. This resulted in a data set with high spatial coverage on which the model predictions were validated. In general, these saturation estimates corresponded well to the measured groundwater levels. We worked with a model that would be applicable for management decisions because of its fast calculation speed and rather low data requirements. We simultaneously calibrated the model to observed groundwater levels and discharge. The model was able to reproduce the general hydrological behavior of the catchment in terms of discharge and absolute groundwater levels. However, the the groundwater level predictions were not accurate enough to be used for the prediction of saturated areas. Groundwater level dynamics were not adequately reproduced and the predicted spatial saturation patterns did not correspond to those estimated from the soil map. Our results indicate that an accurate prediction of the groundwater level dynamics of the shallow groundwater in our catchment that is subject to artificial drainage would require a model that better represents processes at the boundary between the unsaturated and the saturated zone. However, data needed for such a more detailed model are not generally available. This severely hampers the practical use of such models despite their usefulness for scientific purposes.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Copernicus
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/3.0/
dc.title
Validating a spatially distributed hydrological model with soil morphology data
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 3.0 Unported
dc.date.published
2014-09-09
ethz.journal.title
Hydrology and Earth System Sciences
ethz.journal.volume
18
en_US
ethz.journal.issue
9
en_US
ethz.journal.abbreviated
Hydrol. Earth Syst. Sci.
ethz.pages.start
3481
en_US
ethz.pages.end
3498
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.wos
ethz.identifier.nebis
001881462
ethz.publication.place
Göttingen
en_US
ethz.publication.status
published
en_US
ethz.relation.isSupplementedBy
10.5194/hess-18-3481-2014-supplement
ethz.date.deposited
2017-06-11T13:20:03Z
ethz.source
ECIT
ethz.identifier.importid
imp59365274c1fa672918
ethz.ecitpid
pub:143837
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2017-07-12T23:38:21Z
ethz.rosetta.lastUpdated
2023-02-06T17:10:16Z
ethz.rosetta.versionExported
true
ethz.COinS
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