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| Titel |
A monthly water balance model for climate change analysis in Hungary |
| VerfasserIn |
András Herceg, Péter Kalicz, Balázs Kisfaludi, Zoltán Gribovszki |
| Konferenz |
EGU General Assembly 2015
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 17 (2015) |
| Datensatznummer |
250109504
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| Publikation (Nr.) |
 EGU/EGU2015-9419.pdf |
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| Zusammenfassung |
| The currently ongoing climate changing progress can be typified with a global temperature
rising. The most significant effect of the climate change will impact for the water cycle.
The analysis of the effects of vegetation on the hydrological cycle in a climate
change context is especially important. In Hungary the impact of vegetation on water
balance was analyzed in the frame of small catchment research as well as paired plot
analysis.
The aim of this paper was to a model develop based on Thorntwaite-type monthly water
balance estimations. The main goals were to calibrate the model parameters, using remote
sensing based ET dataset. The calibrated model was used for prediction using 4 climate
model datasets. The 3 main periods of prediction were: 2010-2040, 2040-2070, and
2070-2100. The advantage of this model is its robust build-up. It can be applied
if temperature and precipitation time series are available. The parameter of the
calibration is the water storage capacity of the soil (SOILmax), which can be calibrated
using the available actual evapotranspiration data. If the soils physical properties are
known, the maximal rooting depth is also predictable. The model can primarily be
used at the catchment level or for areas without additional water amounts from
below.
For testing the model, a dataset of a corn field next to Mosonmagyaróvár, and a dataset of
a small forest covered catchment next to Sopron was successfully used. The latter can be used
for water balance validation too.
This publication has been supported by AGRARKLIMA.2 VKSZ_12-1-2013-0034
project. |
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