Integration of water balance models in RIVERTWIN

Götzinger, J.; Jagelke, J.; Barthel, Roland; Bàrdossy, András

doi:10.5194/adgeo-9-85-2006

Cited by 5 publications

(3 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Several authors used dimensionless numbers of "similarity patterns" to relate physical form to hydrological impact in basin-wide transfer functions (Berne et al, 2005;Woods, 2002;Radulovič et al, 2011). Other authors calibrated parameters of the transfer functions such as soil properties (Ali et al, 2012) or LU/LC, soil and geology (Götzinger et al, 2006) or land forms such as depressions (Baalousha et al, 2018). Simple soil water models at the basin scale for daily recharge estimates in temperate climates were used by Dripps and Bradbury (2007) and by Finch (2001) as responses to land cover changes.…”

Section: General Approach Of Process Representationmentioning

confidence: 99%

Spatial distribution of groundwater recharge, based on regionalised soil moisture models in Wadi Natuf karst aquifers, Palestine

Messerschmid

Aliewi

2022

Hydrol. Earth Syst. Sci.

View full text Add to dashboard Cite

Abstract. While groundwater recharge is considered fundamental to hydrogeological insights and basin management and studies on its temporal variability are in great number, much less attention has been paid to its spatial distribution, by comparison. And in ungauged catchments it has rarely been quantified, especially on the catchment scale. For the first time, this study attempts such analysis, in a previously ungauged basin. Our work is based on the results of field data (as published in Messerschmid et al., 2020) of several soil moisture stations, which represent five geological formations of karst rock in Wadi Natuf, a semi-arid to sub-humid Mediterranean catchment in the occupied Palestinian West Bank. For that purpose, recharge was conceptualised as deep percolation from soil moisture under saturation excess conditions, which had been modelled parsimoniously and separately with different formation-specific recharge rates. For the regionalisation, inductive methods of empirical field measurements and observations were combined with deductive approaches of extrapolation, based on a new basin classification framework (BCF) for Wadi Natuf, thus following the recommendations for hydrological Prediction in Ungauged Basins (PUB), by the International Association of Hydrological Sciences (IAHS). Our results show an average annual recharge estimation in Wadi Natuf catchment (103 km2), ranging from 235 to 274 mm (24 to 28×106 m3) per year, equivalent to recharge coefficients (RCs) of 39 %–46 % of average annual precipitation (over a 7-year observation period but representative of long-term conditions as well). Formation-specific RC values, derived from empirical parsimonious soil moisture models, were regionalised and their spatial distribution was assessed and quantified on the catchment scale. Thus, for the first time, a fully distributed recharge model in a hitherto entirely ungauged (and karstic) aquifer basin was created that drew on empirical methods and direct approaches. This was done by a novel combination of existing methods and by creating a unified conceptual basin classification framework for different sets of physical basin features. This new regionalisation method is also applicable in many comparable sedimentary basins in the Mediterranean and worldwide.

show abstract

Section: General Approach Of Process Representationmentioning

confidence: 99%

Spatial distribution of groundwater recharge, based on regionalised soil moisture models in Wadi Natuf karst aquifers, Palestine

Messerschmid

Aliewi

2022

Hydrol. Earth Syst. Sci.

View full text Add to dashboard Cite

show abstract

“…Several authors used dimensionless numbers of 'similarity patterns' to relate physical form to hydrological impact in basin-wide transfer functions (Berne et al, 2005;Woods, 2003 andRadulovič, 2011). Other authors calibrated parameters of the transfer functions such as soil properties (Ali et al, 2012) or LU/LC, soil and geology (Götzinger, 2006). Simple soil water models at the basin scale for daily recharge estimates in moderate climates were used by Dripps et al (2007) and by Finch (2001) as responses to land cover changes.…”

Section: Regionalisation and Extrapolation Of Modelled Rc-valuesmentioning

confidence: 99%

Spatial distribution of groundwater recharge, based on regionalized soil moisture models in Wadi Natuf karst aquifers, Palestine

Messerschmid

Aliewi

2021

Preprint

View full text Add to dashboard Cite

Abstract. While groundwater recharge is considered fundamental to hydrogeological insights and basin management, only relatively little attention has been paid to its spatial distribution. And in ungauged catchments it has rarely been quantified, especially on the catchment scale. For the first time, this study attempts such analysis, in a previously ungauged basin. Our work based on field data of several soil moisture stations, which represent five geological formations of karst rock in Wadi Natuf, a semi-arid to sub-humid Mediterranean catchment in the occupied Palestinian West Bank. For that purpose, recharge was conceptualized as deep percolation from soil moisture under saturation excess conditions, which had been modelled parsimoniously and separately with different formation-specific recharge rates. For the regionalisation, inductive methods of empirical field-measurements and observations were combined with deductive approaches of extrapolation, following the recommendations for hydrological Prediction in Ungauged Basins (PUB), by the International Association of Hydrological Sciences (IAHS). Our results show an average annual recharge estimation in Wadi Natuf Catchment (103 km2), ranging from 24 to 28 Mm3/yr, equivalent to recharge coefficients (RC) of 39–46 % of average annual precipitation. Thus, for the first time, formation-specific RC-values could be derived, assessed and quantified in their spatial distribution, and by creating a schematic conceptual basin classification framework for regionalisation that is also applicable in many comparable sedimentary basins in the Mediterranean and worldwide.

show abstract

“…Baseflow is influenced by factors such as the aquifer type, the geology and geomorphology of the catchment [4,5] and land use [4,[6][7][8][9]. Therefore, quantifying baseflow is complex: it is not commonly readily measurable [10,11], and the data quality is often poor [10]. In southern Germany, there have been very few years with above-average precipitation since 2003 [12], and studies have shown that in many regions in Germany, a decline in groundwater recharge can be expected [13].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Baseflow Modeling with BlueM.Sim for Long-Term Hydrological Studies in the German Low Mountain Range of Hesse, Germany

Kissel,

Bach,

Schmalz

2023

Hydrology

View full text Add to dashboard Cite

So far, research with the hydrological model BlueM.Sim has been focused on reservoir management and integrated river basin modeling. BlueM.Sim is part of the official toolset for estimating immissions into rivers in Hesse (Germany) via long-term continuous modeling. Dynamic runoff modeling from rural catchments is permitted within the Hessian guidelines, but in practice, a constant flow or low flow is used. However, due to increasing water stress in the region caused by climate change, the dynamic modeling of runoff from rural catchments will become necessary. Therefore, dynamic baseflow modeling with BlueM.Sim is of the greatest importance. This study evaluated baseflow modeling with BlueM.Sim in a representative hard-rock aquifer in the German Low Mountain range. Two model setups (Factor Approach (FA): CN method + monthly baseflow; Soil Moisture Approach (SMA): physical soil moisture simulation) were calibrated (validated) for a 9-year (5-year) period. The FA achieved an NSE of 0.62 (0.44) and an LnNSE of 0.64 (0.60) for the calibration and validation periods. The selection of a solution for the successful validation of the FA was challenging and required a selection that overestimated baseflow in the calibration period. This is due to the major disadvantage of the FA, namely, that baseflow can only vary according to an estimated yearly pattern of monthly baseflow factors. However, the data requirements are low, and the estimation of monthly baseflow factors is simple and could potentially be regionalized for Hesse, leading to a better representation of baseflow than in current practice. The SMA achieved better results with an NSE of 0.78 (0.75) and an LnNSE of 0.72 (0.78). The data requirements and model setup are extensive and require the estimation of many parameters, which are limitations to its application in practice. Furthermore, a literature review has shown that a single linear reservoir, as in BlueM.Sim, is not optimal for modeling baseflow in hard-rock aquifers. However, for detailed climate change impact studies in the region with BlueM.Sim, the SMA should be preferred over the FA. It is expected that BlueM.Sim would benefit from implementing a more suitable model structure for baseflow in hard-rock aquifers, resulting in improved water balance and water quality outcomes.

show abstract

Integration of water balance models in RIVERTWIN

Cited by 5 publications

References 11 publications

Spatial distribution of groundwater recharge, based on regionalised soil moisture models in Wadi Natuf karst aquifers, Palestine

Spatial distribution of groundwater recharge, based on regionalised soil moisture models in Wadi Natuf karst aquifers, Palestine

Spatial distribution of groundwater recharge, based on regionalized soil moisture models in Wadi Natuf karst aquifers, Palestine

Evaluation of Baseflow Modeling with BlueM.Sim for Long-Term Hydrological Studies in the German Low Mountain Range of Hesse, Germany

Contact Info

Product

Resources

About