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| Titel |
Impact of spatial data resolution on simulated catchment water balances and model performance of the multi-scale TOPLATS model |
| VerfasserIn |
H. Bormann |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1027-5606
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| Digitales Dokument |
URL |
| Erschienen |
In: Hydrology and Earth System Sciences ; 10, no. 2 ; Nr. 10, no. 2 (2006-03-03), S.165-179 |
| Datensatznummer |
250007980
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| Publikation (Nr.) |
 copernicus.org/hess-10-165-2006.pdf |
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| Zusammenfassung |
| This paper analyses the effect of spatial input data resolution on the
simulated water balances and flow components using the multi-scale
hydrological model TOPLATS. A data set of 25m resolution of the central
German Dill catchment (693 km2) is used for investigation. After an
aggregation of digital elevation model, soil map and land use classification
to 50 m, 75 m, 100 m, 150 m, 200 m, 300 m, 500 m, 1000 m and 2000 m, water balances
and water flow components are calculated for the entire Dill catchment as
well as for 3 subcatchments without any recalibration. The study shows that
model performance measures and simulated water balances almost remain
constant for most of the aggregation steps for all investigated catchments.
Slight differences in the simulated water balances and statistical quality
measures occur for single catchments at the resolution of 50 m to 500 m
(e.g. 0–3% for annual stream flow), significant differences at the resolution
of 1000 m and 2000 m (e.g. 2–12% for annual stream flow). These differences
can be explained by the fact that the statistics of certain input data (land
use data in particular as well as soil physical characteristics) changes
significantly at these spatial resolutions. The impact of smoothing the
relief by aggregation occurs continuously but is barely reflected by the
simulation results. To study the effect of aggregation of land use data in
detail, in addition to current land use the effect of aggregation on the
water balance calculations based on three different land use scenarios is
investigated. Land use scenarios were available aiming on economic
optimisation of agricultural and forestry practices at different field sizes
(0.5 ha, 1.5 ha and 5.0 ha). The changes in water balance terms, induced by
aggregation of the land use scenarios, are comparable with respect to
catchment water balances compared to the current land use. A correlation
analysis between statistics of input data and simulated annual water fluxes
only in some cases reveals systematically high correlation coefficients for
all investigated catchments and data sets (e.g. actual evapotranspiration is
correlated to land use, surface runoff generation is correlated to soil
properties). Predominantly the correlation between catchment properties
(e.g. topographic index, transmissivity, land use) and simulated water flows
varies from catchment to catchment. Catchment specific properties determine
correlations between properties and fluxes, but do not influence the effect
of data aggregation. This study indicates that an aggregation of input data
for the calculation of regional water balances using TOPLATS type models
leads to significant errors from a resolution exceeding 500 m. Correlating
statistics of input data and simulation results indicates that a meaningful
aggregation of data should in the first instance aim on preserving the areal
fractions of land use classes. |
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