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| Titel |
Holistic versus monomeric strategies for hydrological modelling of human-modified hydrosystems |
| VerfasserIn |
I. Nalbantis, A. Efstratiadis, E. Rozos, M. Kopsiafti, D. Koutsoyiannis |
| 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 ; 15, no. 3 ; Nr. 15, no. 3 (2011-03-04), S.743-758 |
| Datensatznummer |
250012678
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| Publikation (Nr.) |
 copernicus.org/hess-15-743-2011.pdf |
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| Zusammenfassung |
| The modelling of human-modified basins that are inadequately measured
constitutes a challenge for hydrological science. Often, models for such
systems are detailed and hydraulics-based for only one part of the system
while for other parts oversimplified models or rough assumptions are used.
This is typically a bottom-up approach, which seeks to exploit knowledge of
hydrological processes at the micro-scale at some components of the system.
Also, it is a monomeric approach in two ways: first, essential interactions
among system components may be poorly represented or even omitted; second,
differences in the level of detail of process representation can lead to
uncontrolled errors. Additionally, the calibration procedure merely accounts
for the reproduction of the observed responses using typical fitting
criteria. The paper aims to raise some critical issues, regarding the entire
modelling approach for such hydrosystems. For this, two alternative
modelling strategies are examined that reflect two modelling approaches or
philosophies: a dominant bottom-up approach, which is also monomeric and,
very often, based on output information, and a top-down and holistic approach
based on generalized information. Critical options are examined, which
codify the differences between the two strategies: the representation of
surface, groundwater and water management processes, the schematization and
parameterization concepts and the parameter estimation methodology. The
first strategy is based on stand-alone models for surface and groundwater
processes and for water management, which are employed sequentially. For
each model, a different (detailed or coarse) parameterization is used, which
is dictated by the hydrosystem schematization. The second strategy involves
model integration for all processes, parsimonious parameterization and
hybrid manual-automatic parameter optimization based on multiple objectives.
A test case is examined in a hydrosystem in Greece with high complexities,
such as extended surface-groundwater interactions, ill-defined boundaries,
sinks to the sea and anthropogenic intervention with unmeasured abstractions
both from surface water and aquifers. Criteria for comparison are the
physical consistency of parameters, the reproduction of runoff hydrographs
at multiple sites within the studied basin, the likelihood of uncontrolled
model outputs, the required amount of computational effort and the
performance within a stochastic simulation setting. Our work allows for
investigating the deterioration of model performance in cases where no
balanced attention is paid to all components of human-modified hydrosystems
and the related information. Also, sources of errors are identified and their
combined effect are evaluated. |
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