Numerical analysis of the groundwater regime in the western Dead Sea escarpment, Israel + West Bank

Gräbe, Agnes; Rödiger, Tino; Rink, Karsten; Fischer, Thomas; Sun, Feng; Wang, Wenqing; Siebert, Christian; Kolditz, Olaf

doi:10.1007/s12665-012-1795-8

Cited by 44 publications

(24 citation statements)

References 42 publications

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“…Even though sophisticated professional tools for structural modeling exist (e.g., GOCAD, PETREL), the translation of structural to accurate numerical models remains a demanding task due to different (i) classic, and even (ii) new aspects. (i) The complex-physics-simple-structure vs. complex-structure-simple-physics paradigm is still valid (Fletcher, 1991), whether this concerns, e.g., data acquisition and model parameterization through data scarcity (Ritzema et al, 2010;Gräbe et al, 2013) or model validity (Nguyen and de Kok, 2007). Also, (ii) modern geophysical exploration methods provide increasingly detailed information and high data accuracy, so that adequate numerical representation is required (Thorleifson et al, 2010;Schmelzbach et al, 2011;Van Dam, 2012;Lucia et al, 2015).…”

Section: Discussionmentioning

confidence: 99%

GO2OGS 1.0: a versatile workflow to integrate complex geological information with fault data into numerical simulation models

et al. 2015

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Abstract. We offer a versatile workflow to convert geological models built with the Paradigm ™ GOCAD © (Geological Object Computer Aided Design) software into the opensource VTU (Visualization Toolkit unstructured grid) format for usage in numerical simulation models. Tackling relevant scientific questions or engineering tasks often involves multidisciplinary approaches. Conversion workflows are needed as a way of communication between the diverse tools of the various disciplines. Our approach offers an open-source, platform-independent, robust, and comprehensible method that is potentially useful for a multitude of environmental studies. With two application examples in the Thuringian Syncline, we show how a heterogeneous geological GO-CAD model including multiple layers and faults can be used for numerical groundwater flow modeling, in our case employing the OpenGeoSys open-source numerical toolbox for groundwater flow simulations. The presented workflow offers the chance to incorporate increasingly detailed data, utilizing the growing availability of computational power to simulate numerical models.

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Section: Discussionmentioning

confidence: 99%

GO2OGS 1.0: a versatile workflow to integrate complex geological information with fault data into numerical simulation models

et al. 2015

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“…Those formations which consist partly of carbonates and sandstones are hydraulically conducive to groundwater flow. The hydraulic parameters of the discussed sequence and the groundwater regime in this area were described by Stanislavsky and Gvirtzman (1999) and Grabe et al (2013). The flow directions in the study area as obtained by the particle tracking procedure of the FeFlow model (Diersch, 2005) are shown on Figure 3.…”

Section: Subsurface Seawater Intrusion (Ssi) Into the Dsbmentioning

confidence: 99%

Subsurface Seawater Intrusion, an Additional Factor Influencing the Limnological History of the Dead Sea Basin

Kafri

2016

EMSD

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A deep core hole, drilled in the middle of the Dead Sea penetrated the Pleistocene-Holocene section, revealed an alternating sequence of fresh water and evaporitic (gypsum, halite) deposits. The vertical facies variations were interpreted as related mainly to lake level changes during this period. The present study, however, proposes an additional factor that influenced these changes, namely subsurface seawater intrusion from the Mediterranean Sea to the endorheic Dead Sea Basin. This proposed process is controlled by the elevation and head difference between both base levels at a given time, because the Mediterranean Sea level also fluctuated during the discussed period. We find that in times of smaller head differences, and assumed lower seawater intrusion, a gypsum facies prevailed in the Dead Sea Basin. In times of greater head differences and assumed more abundant seawater intrusion a halite facies prevailed because of greater sodium chloride input into the Dead Sea.

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“…We use large scale to refer to models in the scale of 100 to 1000 km 2 or larger. Examples are water resources management in water-scarce regions (Gräbe et al, 2012;Laronne Ben-Itzhak and Gvirtzman, 2005), groundwater depletion (Scanlon et al, 2012), contamination (Li and Merchant, 2013;Mukherjee et al, 2007), agricultural impacts on hydrogeological systems (Rossman and Zlotnik, 2013), and well-capture zone delineation (Moutsopoulos et al, 2007;Selle et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Performance evaluation of groundwater model hydrostratigraphy from airborne electromagnetic data and lithological borehole logs

Marker

Foged

et al. 2015

Hydrol. Earth Syst. Sci.

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Abstract. Large-scale hydrological models are important decision support tools in water resources management. The largest source of uncertainty in such models is the hydrostratigraphic model. Geometry and configuration of hydrogeological units are often poorly determined from hydrogeological data alone. Due to sparse sampling in space, lithological borehole logs may overlook structures that are important for groundwater flow at larger scales. Good spatial coverage along with high spatial resolution makes airborne electromagnetic (AEM) data valuable for the structural input to large-scale groundwater models. We present a novel method to automatically integrate large AEM data sets and lithological information into large-scale hydrological models. Clayfraction maps are produced by translating geophysical resistivity into clay-fraction values using lithological borehole information. Voxel models of electrical resistivity and clay fraction are classified into hydrostratigraphic zones using kmeans clustering. Hydraulic conductivity values of the zones are estimated by hydrological calibration using hydraulic head and stream discharge observations. The method is applied to a Danish case study. Benchmarking hydrological performance by comparison of performance statistics from comparable hydrological models, the cluster model performed competitively. Calibrations of 11 hydrostratigraphic cluster models with 1-11 hydraulic conductivity zones showed improved hydrological performance with an increasing number of clusters. Beyond the 5-cluster model hydrological performance did not improve. Due to reproducibility and possibility of method standardization and automation, we believe that hydrostratigraphic model generation with the proposed method has important prospects for groundwater models used in water resources management.

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Numerical analysis of the groundwater regime in the western Dead Sea escarpment, Israel + West Bank

Cited by 44 publications

References 42 publications

GO2OGS 1.0: a versatile workflow to integrate complex geological information with fault data into numerical simulation models

GO2OGS 1.0: a versatile workflow to integrate complex geological information with fault data into numerical simulation models

Subsurface Seawater Intrusion, an Additional Factor Influencing the Limnological History of the Dead Sea Basin

Performance evaluation of groundwater model hydrostratigraphy from airborne electromagnetic data and lithological borehole logs

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