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| Titel |
Diagnostic calibration of a hydrological model in a mountain area by hydrograph partitioning |
| VerfasserIn |
Z. H. He, F. Q. Tian, H. V. Gupta, H. C. Hu, H. P. Hu |
| 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 ; 19, no. 4 ; Nr. 19, no. 4 (2015-04-17), S.1807-1826 |
| Datensatznummer |
250120684
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| Publikation (Nr.) |
 copernicus.org/hess-19-1807-2015.pdf |
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| Zusammenfassung |
| Hydrological modeling can exploit informative signatures extracted from long
time sequences of observed streamflow for parameter calibration and model
diagnosis. In this study we explore the diagnostic potential of hydrograph
partitioning for model calibration in mountain areas, where meltwater from
snow and glaciers is an important source for river runoff (in addition to
rainwater). We propose an index-based method to partition the hydrograph
according to dominant runoff water sources, and a diagnostic approach to
calibrate a mountain hydrological model. First, by accounting for the
seasonal variability of precipitation and the altitudinal variability of
temperature and snow/glacier coverage, we develop a set of indices to
indicate the daily status of runoff generation from each type of water
source (i.e., glacier meltwater, snow meltwater, rainwater, and
groundwater). Second, these indices are used to partition a hydrograph into
four parts associated with four different combinations of dominant water
sources (i.e., groundwater, groundwater + snow meltwater, groundwater +
snow meltwater + glacier meltwater, and groundwater + snow meltwater +
glacier meltwater + rainwater). Third, the hydrological model parameters
are grouped by the associated runoff sources, and each group is calibrated
to match the corresponding hydrograph partition in a stepwise and iterative
manner. Similar to use of the regime curve to diagnose seasonality of
streamflow, the hydrograph partitioning curve based on a dominant runoff
water source (more briefly called the partitioning curve, not necessarily
continuous) can serve as a diagnostic signature that helps relate model
performance to model components. The proposed methods are demonstrated via
application of a semi-distributed hydrological model (THREW, Tsinghua Representative Elementary Watershed) to the Tailan
River basin (TRB) (1324 km2) in the Tianshan Mountains of China. Results show
that the proposed calibration approach performed reasonably well. Cross-validation and comparison to an automatic calibration method indicated its
robustness. |
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