Structure and Tectonic Development of the Kinneret Basin

Ben‐Avraham, Zvi; Rosenthal, Michal; Tibor, Gideon; Navon, Hila; Wust-Bloch, Hillel; Hofstetter, Rami; Rybakov, Michael

doi:10.1007/978-94-017-8944-8_2

Cited by 7 publications

(5 citation statements)

References 53 publications

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“…All of the groundwater is extracted from the shallowest Cretaceous Judea aquifer. The basin fill sediments (fluvial and lacustrine sediments) beneath the lake are 5–8 km thick and have very low permeability (Ben‐Avraham et al, 1996, 2014; Hurwitz et al, 2000; Marcus & Slager, 1985).…”

Section: Conceptual Model Of Induced Earthquakesmentioning

confidence: 99%

Earthquake Swarms Triggered by Groundwater Extraction Near the Dead Sea Fault

Wetzler

Shalev

Göbel

et al. 2019

Geophysical Research Letters

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In 2013 and 2018, earthquake swarms with a maximum moment magnitude of 4.5 occurred ~5 km from the northern section of the Dead Sea Transform Fault. Here we show that aquifer pressure data, interferometric synthetic aperture radar surface deformation time series, and seismic monitoring suggest that groundwater withdrawal triggered these earthquakes. Continuous groundwater extraction from several wells located ~10 km west of the swarms has accelerated since 2010 and resulted in a total decrease of ~50 m of the groundwater level at the time of the 2018 earthquake swarm. The withdrawal also corresponds to surface subsidence of ~10 mm/year based on repeat interferometric synthetic aperture radar measurements. The temporal correlation, extensive subsidence, anomalous swarm characteristics, and normal faulting orientation suggest a connection between the groundwater withdrawal and recent earthquakes. Poroelastic modeling demonstrates that pumping‐induced pore pressure decrease west of the earthquake could have caused significant dilatational stresses that led to normal faulting events outside the aquifer.

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Section: Conceptual Model Of Induced Earthquakesmentioning

confidence: 99%

Earthquake Swarms Triggered by Groundwater Extraction Near the Dead Sea Fault

Wetzler

Shalev

Göbel

et al. 2019

Geophysical Research Letters

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“…The SoG developed within the Kinarot‐Beit‐Shean pull‐apart basin where the sedimentary infill thickens toward the Eastern border of the DSF (Magri et al., 2015). Across Northern Israel and around the SoG, sediments alternate with magmatic formations as confirmed by deep‐penetrating wells and geophysical data (including active seismic, magnetic field modeling and gravimetry) (Ben‐Avraham et al., 2014; Eppelbaum et al., 2004; Reznikov et al., 2004; Sneh & Weinberger, 2003). Portions of the Levant volcanism (Figure 1b) flank the Eastern side of the SoG and the magmatic units extend across Syria, Jordan and Saudi Arabia (Weinstein & Heimann, 2017).…”

Section: Introductionmentioning

confidence: 85%

Rifting‐Driven Magmatism Along the Dead Sea Continental Transform Fault

Haddad

Chiarabba

Lazar

et al. 2023

Geophysical Research Letters

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The Dead Sea Fault (DSF) is a crustal sharp-cut (Rosenthal et al., 2019) continental transform fault running for more than a thousand kilometers spreading to the Red Sea toward the South and bridging with collision in Turkey. This prominent geological feature was a major morphological corridor that allowed the migration of Hominids from Africa into Eurasia (Ben-avraham et al., 2005). The DSF, active since the Miocene (Matmon et al., 2003;Nuriel et al., 2012), is characterized by extensional structures such as the Dead Sea (Hofstetter et al., 2000) and the Sea of Galilee (SoG) (Hurwitz et al., 2000). The SoG developed within the Kinarot-Beit-Shean pull-apart basin where the sedimentary infill thickens toward the Eastern border of the DSF (Magri et al., 2015). Across Northern Israel and around the SoG, sediments alternate with magmatic formations as confirmed by deep-penetrating wells and geophysical data (including active seismic, magnetic field modeling and gravimetry) (

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“…The Sea of Galilee occupies the LK basin along the active Dead Sea fault. It developed by several tectonic processes (Ben-Avraham et al, 2014). The regional morphology is characterized by Cretaceous to Eocene carbonate rocks with extensive karst and Neogene and Pleistocene basalts (Sneh et al, 1998).…”

Section: Study Areamentioning

confidence: 99%

New probabilistic methods for quantitative climate reconstructions applied to palynological data from Lake Kinneret

Netzel,

Miebach,

Litt

et al. 2023

Preprint

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Abstract. Quantitative local paleoclimate reconstructions are an important tool for gaining insights into the climate history of the Earth. The complex age–sediment–depth and proxy–climate relationships must be described in an appropriate way. Bayesian hierarchical models are a promising method for describing such structures. In this study, we present a new age–depth transformation in a Bayesian formulation by determining the uncertainty information of depths in lake sediments at a given age. This enables data-driven smoothing of past periods, which allows for better interpretation. Furthermore, we introduce a systematic way to establish transfer functions that map climate variables to biome distributions. This includes consideration of various machine learning algorithms for solving the classification problem of biome presence and absence, taking into account uncertainties in the proxy–climate relationship. For the models and biome distributions used, a simple feedforward neural network wins. Based on this, we formulate a new Bayesian hierarchical model that generates local paleoclimate reconstructions. This is applied to plant-based proxy data from the lake sediment of Lake Kinneret. Here, a priori information on the recent climate in this region and data on arboreal pollen from this lake are used as boundary conditions. To solve this model, we use Markov chain Monte Carlo sampling methods. During the inference process, our new method generates taxa weights and biome climate ranges. The former shows that less weight needs to be given to Olea europaea to ensure the influence of the other taxa. In contrast, the highest weights are found in Quercus calliprinos and Amaranthaceae, resulting in appropriate flexibility under the given boundary conditions. In terms of climate ranges, the posterior probability of the Mediterranean biome reveals the greatest change, with an average boreal winter (December–February) temperature of 10 °C and an annual precipitation of 700 mm for Lake Kinneret during the Holocene. The paleoclimate reconstruction for this period shows comparatively low precipitation of about 400 mm during 9–7 and 4–2 cal ka BP. The respective temperature fluctuate much less and stays around 10 °C.

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Structure and Tectonic Development of the Kinneret Basin

Cited by 7 publications

References 53 publications

Earthquake Swarms Triggered by Groundwater Extraction Near the Dead Sea Fault

Earthquake Swarms Triggered by Groundwater Extraction Near the Dead Sea Fault

Rifting‐Driven Magmatism Along the Dead Sea Continental Transform Fault

New probabilistic methods for quantitative climate reconstructions applied to palynological data from Lake Kinneret

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