Sensitivity of mGROWA-simulated groundwater recharge to changes in soil and land use parameters in a Mediterranean environment and conclusions in view of ensemble-based climate impact simulations

Ehlers, L.B.; Herrmann, Frank; Blaschek, Michael; Duttmann, Rainer; Wendland, Frank

doi:10.1016/j.scitotenv.2015.04.122

Cited by 18 publications

(9 citation statements)

References 34 publications

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“…In the case of land use/land cover, it usually influences infiltration and recharge rates as well as the relationship between surface water and groundwater [151]. This is also in agreement with earlier reports, which showed that there is a strong relationship between land use/land cover factor and groundwater recharge [152,153].…”

Section: Spatial Modeling Of Karst Spring Potentialsupporting

confidence: 91%

Mapping of Groundwater Spring Potential in Karst Aquifer System Using Novel Ensemble Bivariate and Multivariate Models

Nhu

Rahmati

Falah

et al. 2020

Water

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Groundwater is an important natural resource in arid and semi-arid environments, where discharge from karst springs is utilized as the principal water supply for human use. The occurrence of karst springs over large areas is often poorly documented, and interpolation strategies are often utilized to map the distribution and discharge potential of springs. This study develops a novel method to delineate karst spring zones on the basis of various hydrogeological factors. A case study of the Bojnourd Region, Iran, where spring discharge measurements are available for 359 sites, is used to demonstrate application of the new approach. Spatial mapping is achieved using ensemble modelling, which is based on certainty factors (CF) and logistic regression (LR). Maps of the CF and LR components of groundwater potential were generated individually, and then, combined to prepare an ensemble map of the study area. The accuracy (A) of the ensemble map was then assessed using area under the receiver operating characteristic curve. Results of this analysis show that LR (A = 78%) outperformed CF (A = 67%) in terms of the comparison between model predictions and known occurrences of karst springs (i.e., calibration data). However, combining the CF and LR results through ensemble modelling produced superior accuracy (A = 85%) in terms of spring potential mapping. By combining CF and LR statistical models through ensemble modelling, weaknesses in CF and LR methods are offset, and therefore, we recommend this ensemble approach for similar karst mapping projects. The methodology developed here offers an efficient method for assessing spring discharge and karst spring potentials over regional scales.

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Section: Spatial Modeling Of Karst Spring Potentialsupporting

confidence: 91%

Mapping of Groundwater Spring Potential in Karst Aquifer System Using Novel Ensemble Bivariate and Multivariate Models

Nhu

Rahmati

Falah

et al. 2020

Water

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“…These researchers applied the fully distributed, semi-empirical GROWA model (Herrmann et al, 2015;Kunkel and Wendland, 2002;Panagopoulos et al, 2015Panagopoulos et al, , 2016 and the fully distributed deterministic mGROWA model (Panagopoulos et al, 2017), which enables spatiotemporal discretization of the soil zone hydrodynamic evolution. Although the application of the mGROWA model to other Mediterranean basins and beyond (Ehlers et al, 2016;Herrmann et al, 2016;Tetzlaff et al, 2015) produced accurate results, the outcome for the RPB remained questionable due to a lack of reliable model input data and profound knowledge about the hydrodynamic evolution mechanisms (pathways of groundwater recharge from the surrounding marginal aquifer systems into the basin). These problems, accompanied by other critical questions and issues, resulted in eight motives that led us to establish the PHO.…”

Section: Motivationmentioning

confidence: 99%

“…Significant parts of the mountain ranges and their transition zone to the basin are coved by Mediterranean scrubland, suggesting that evapotranspiration, and thus runoff formation processes in the transition zone, are significantly controlled by this vegetation type, as they are by the soil water storage capacity of the prevailing Leptosol soils. Ehlers et al (2016) emphasized that comprehensive modeling studies dealing with soil moisture and evapotranspiration of Mediterranean scrublands are rare. Thus, a solid and well-proven parameter set to determine ET rates with the mGROWA model is lacking for these site conditions and vegetation types.…”

Section: Motive 2: Missing Parameters With Relation To Calculation Of...mentioning

confidence: 99%

Hydrologic and Geochemical Research at Pinios Hydrologic Observatory: Initial Results

Pisinaras¹,

Παναγόπουλος²,

Herrmann

et al. 2018

Vadose Zone Journal

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The Pinios Hydrologic Observatory (PHO) is located in the River Pinios basin, which is one of the most productive basins in Greece. The PHO was established to develop deep knowledge of water balance at the river basin scale and to improve understanding of the major hydrodynamic mechanisms to improve hydrological modeling and ultimately sustainable water resource management. The PHO comprises three meteorological stations, 12 groundwater monitoring sites, and one soil moisture monitoring site, which includes frequency domain reflectometry sensors (SoilNet) and a cosmic-ray neutron sensor (CRNS) probe. Although the PHO was recently established (at the end of 2015), the preliminary findings from data analysis are promising. Calculated reference evapotranspiration (ETo) gradients demonstrate differences regarding their annual cycle, total amount, and altitude level. Moreover, climate analysis indicates nocturnal mountain-valley winds. Groundwater level spatial distribution indicates the dominant recharge mechanisms to the alluvial aquifer system. These findings are also supported by the hydrochemical data analysis (electrical conductivity and, secondarily, NO 3 distribution). Locally elevated NO 3 concentrations are attributed to agricultural activities and call for review of the adopted farming practices. Results from the soil moisture monitoring site indicate a very good match between the CRNS probe and the average SoilNet data. Future perspectives of the PHO include geophysical surveys to accurately delineate the geometry of the groundwater system, the expansion of groundwater and soil moisture observation networks, and the application of the mGROWA hydrologic model to accurately simulate the hydrological processes in the PHO and upscale in the entire River Pinios basin. Finally, in support of the local farmers, we plan to develop and implement a distributed irrigation programming protocol in the entire area of the PHO.

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“…The runoff separation part deals with runoff components such as natural interflow in hard rock aquifers, drainage runoff from artificially drained agricultural land and groundwater recharge which are separated from the total runoff by using the empirical approach of Base Flow Indices (BFI). The concept of BFI-values has been successfully used in several studies in Europe, e.g., in applications of the GROWA/mGROWA modelling approach [9][10][11] or the hydrological model ARC/EGMO [12]. The idea behind the BFI-approach is that characteristic site conditions are decisive for the shares of runoff components and groundwater recharge in total runoff.…”

Section: The Mgrowa Model For Determining Groundwater Recharge Ratesmentioning

confidence: 99%

Impact of Climate Change on Irrigation Need and Groundwater Resources in Pinios Basin

Παναγόπουλος¹,

Herrmann²,

Pisinaras³

et al. 2018

EWaS3 2018

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Initially an area-differentiated modelling of groundwater recharge in River Pinios Basin (Greece) was carried out for the reference period 1971–2000 based on the mGROWA model. Subsequently, the model was applied to assess the impacts of climate change on groundwater recharge and irrigation need. For this purpose one bias-corrected RCM–GCM combination from the EURO-CORDEX ensemble of climate models for two emission scenarios (RCP 4.5 and RCP 8.5) have been used as input data for the projected periods 2011–2040 and 2040–2070 and 2700–2100. Results of the mGROWA model runs for the projected periods and the two emission scenarios indicate a different evolution of groundwater recharge and a general increase in irrigation need, however with different degrees of intensity.

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Sensitivity of mGROWA-simulated groundwater recharge to changes in soil and land use parameters in a Mediterranean environment and conclusions in view of ensemble-based climate impact simulations

Cited by 18 publications

References 34 publications

Mapping of Groundwater Spring Potential in Karst Aquifer System Using Novel Ensemble Bivariate and Multivariate Models

Mapping of Groundwater Spring Potential in Karst Aquifer System Using Novel Ensemble Bivariate and Multivariate Models

Hydrologic and Geochemical Research at Pinios Hydrologic Observatory: Initial Results

Impact of Climate Change on Irrigation Need and Groundwater Resources in Pinios Basin

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