2021
DOI: 10.2478/jengeo-2021-0007
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Sensitivity Analysis for Effect of Changes in Input Data on Hydrological Parameters and Water Balance Components in the Catchment Area of Hungarian Lowland

Abstract: Extreme weather and climate changes are emerging more frequently in Central Europe, Hungary, and in the near future the increase in prolonged droughts, high-intensity precipitation events and the temporal variations of precipitation are expected, which may increase the magnitude of local water damages (OVF, 2016). As a result of climate change, these extreme weather events will be more frequent, however it is difficult to predict them, as until now insufficient amount of observations are available on smaller w… Show more

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Cited by 2 publications
(2 citation statements)
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“…Two catchments were chosen for the current study, where sufficient spatial data was available to enable the calibration of a proper model (Nagy et al, 2019). The calibration was performed by the sensitivity analysis of the changing input parameters of the model (Tran, 2021). By considering the future climatic scenarios and past extreme precipitation conditions, future trends of water balances were simulated.…”
Section: Methodsmentioning
confidence: 99%
“…Two catchments were chosen for the current study, where sufficient spatial data was available to enable the calibration of a proper model (Nagy et al, 2019). The calibration was performed by the sensitivity analysis of the changing input parameters of the model (Tran, 2021). By considering the future climatic scenarios and past extreme precipitation conditions, future trends of water balances were simulated.…”
Section: Methodsmentioning
confidence: 99%
“…ParFlow's water balance conceptual models are incomplete because, in fact, the groundwater division is difficult to determine; in many cases, the watershed of surface water and groundwater do not coincide, even in some basins, for example, in Dong-er catchment, surface water flow depends largely on underground flow from outside (Tran, 2021).…”
Section: Parflowmentioning
confidence: 99%