Publication Details |
| Category | Text Publication |
| Reference Category | Journals |
| DOI | 10.1016/j.jhydrol.2020.125818 |
| Document | author version |
| Title (Primary) | Spatial validation of a semi-distributed hydrological nutrient transport model |
| Author | Ghaffar, S.; Jomaa, S.; Meon, G.; Rode, M.
|
| Source Titel | Journal of Hydrology |
| Year | 2021 |
| Department | ASAM |
| Volume | 593 |
| Page From | art. 125818 |
| Language | englisch |
| Topic | T4 Coastal System T5 Future Landscapes |
| Supplements | https://ars.els-cdn.com/content/image/1-s2.0-S0022169420312798-mmc1.docx |
| Keywords | HYPE model; Nitrate-N; Phosphorus; Internal validation; Uncertainty analysis; Archetypical gauging station |
| Abstract | Semi-distributed hydrological and water quality models
are increasingly used as innovative and scientific-based management tools.
However, their application is usually restricted to the gauging stations where
they are originally calibrated, limiting their spatial capability. In this
study, the semi-distributed hydrological water quality model HYPE (HYdrological
Predictions for the Environment) was tested spatially to represent nitrate-N (NO3-N)
and total phosphorus (TP) concentrations and loads of the nested and
heterogeneous Selke catchment (463 km2) in central Germany. First,
an automatic calibration procedure and uncertainty analysis were conducted
using the DiffeRential Evolution Adaptive Metropolis (DREAM) tool to simulate
discharge, NO3-N and TP concentrations. A multi-site and multi-objective
calibration approach was applied using three main gauging stations, covering
the most important hydro-meteorological and physiographical characteristics of
the whole catchment. Second, the model’s capability was tested to represent
further internal stations, which were not initially considered for calibration.
Results showed that discharge was well represented by the model at all three
main stations during both calibration (1994-1998) and validation (1999-2014)
periods with lowest Nash-Sutcliffe Efficiency (NSE) of 0.71 and maximum
Percentage BIAS (PBIAS) of 18.0%. The model was able to reproduce the seasonal
dynamics of NO3-N and TP concentrations with low predictive uncertainty at the
three main stations, reflected by PBIAS values in the ranges from -16.1% to
6.4% and from -20.0% to 11.5% for NO3-N and TP load simulations, respectively.
At internal stations, the model could represent reasonably well the seasonal
variation of nutrient concentrations with PBIAS values in the ranges from -9.0%
to 14.2% for NO3-N and from -25.3% to 34.3% for TP concentration simulations.
Overall, results suggested that the spatial validation of a nutrient transport
model can be better ensured when a multi-site and multi-objective calibration
approach using archetypical gauging stations is implemented. Further, results
revealed that the delineation of sub-catchments should put more focus on
hydro-meteorological conditions than on land-use features. |
| Persistent UFZ Identifier | https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=24013 |
| Ghaffar, S., Jomaa, S., Meon, G., Rode, M. (2021): Spatial validation of a semi-distributed hydrological nutrient transport model J. Hydrol. 593 , art. 125818 10.1016/j.jhydrol.2020.125818 |
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