Simulation of saltwater intrusion in a poorly karstified coastal aquifer in Lebanon (Eastern Mediterranean)

Khadra, Wisam M.; Stuyfzand, Pieter J.

doi:10.1007/s10040-018-1752-z

Cited by 26 publications

(6 citation statements)

References 73 publications

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“…According to a survey conducted in 2011, wells within about 350 m from the channel (Figure S3, Supplementary Material) intercept bank-filtrated water as confirmed by δ 18 O (the ratio of oxygen-18 and oxygen-16) and chloride for a mixture of three end-members (river, local rain and infiltrated ocean water). These wells receive > 50% river water contribution (Khadra & Stuyfzand, 2014), summing up to a total discharge of about 3300 m 3 /d, a value that was corroborated by 3-D numerical modeling (Khadra & Stuyfzand, 2018).…”

Section: River Bank Filtrationsupporting

confidence: 62%

Problems and promise of managed recharge in karstified aquifers: the example of Lebanon

Khadra

Stuyfzand

2019

Water International

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Problems and promise of managed recharge in karstified aquifers: the example of LebanonManaged aquifer recharge can store surface water as safe and reliable groundwater for later recovery. However, most options are problematic in karstic aquifers due to complex hydrodynamics reducing their effectiveness and hence general applicability. River bank filtration and urban stormwater infiltration systems are among the main managed recharge approaches to cope with this complexity. Experiences in Lebanon demonstrate the viability of these and other options in karstic domains.

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Section: River Bank Filtrationsupporting

confidence: 62%

Problems and promise of managed recharge in karstified aquifers: the example of Lebanon

Khadra

Stuyfzand

2019

Water International

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“…Gundogdu and Aslan [77] in a similar case predicted the salinity maps. However, time-series prediction for salinity is associated with a number of drawbacks including accuracy and generalization [78], [79]. Artificial intelligence (AI) methods and applications have already been reported as efficient and popular methods in groundwater modeling.…”

Section: Introductionmentioning

confidence: 99%

Groundwater Salinity Susceptibility Mapping Using Classifier Ensemble and Bayesian Machine Learning Models

et al. 2020

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Risk and susceptibility mapping of groundwater salinity (GWS) are challenging tasks for groundwater quality monitoring and management. Advancement of accurate prediction systems is essential for the identification of vulnerable areas in order to raise awareness about the potential salinity susceptibility and protect the groundwater and top-soil in due time. In this study, three machine learning models of Stochastic Gradient Boosting (StoGB), Rotation Forest (RotFor), and Bayesian Generalized Linear Model (Bayesglm) are developed for building prediction models and their performance evaluated in the delineation of salinity susceptibility maps. Both natural and human effective factors (16 features) were used as predictors for groundwater salinity modeling and were randomly divided into the training (80%) and testing (20%) datasets. The models were evaluated using testing datasets after calibration using the selected features by recursive feature elimination (RFE) method. The RFE indicated that modeling with 8 features had better performance among 1 to 16 features (Accuracy = 0.87). Results of the groundwater salinity prediction highlighted that StoGB had a good performance, whereas the RotFor and Bayesglm had an excellent performance based on the Kappa values (> 0.85). Although spatial prediction of the models was different, all of the models indicated that central parts of the region have a very high susceptibility which matches with agricultural areas, lithology map, the locations with low depth to groundwater, low slope, and elevation. Additionally, areas near to the Maharlu lake and locations with a high decline in groundwater are also located in the very high susceptibility zone, which can confirm the effects of saltwater intrusion. The susceptibility maps produced in this study are of utmost importance for water security and sustainable agriculture.

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“…A more complex and data requiring approach is the one that make use of numerical models to deploy new characterization methods, for example, describing the linear and non-linear optimization approaches to manage seawater intrusion via numerical scenarios [144][145][146][147][148][149][150], or determining the long-term effects induced by pumping saline groundwater to feed desalination plants [151]. In addition, the employment of geophysical methods coupled with numerical models to quantify the aquifer salinization extension has been explored only in few studies [152][153][154][155], and only one reported the socio-economic aspects of SWI in the modeling procedure [156].…”

Section: Data Handling Techniquesmentioning

confidence: 99%

The Issue of Groundwater Salinization in Coastal Areas of the Mediterranean Region: A Review

Mastrocicco

Colombani

2021

Water

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The Mediterranean area is undergoing intensive demographic, social, cultural, economic, and environmental changes. This generates multiple environmental pressures such as increased demand for water resources, generation of pollution related to wastewater discharge, and land consumption. In the Mediterranean area, recent climate change studies forecast large impacts on the hydrologic cycle. Thus, in the next years, surface and ground-water resources will be gradually more stressed, especially in coastal areas. In this review paper, the historical and geographical distribution of peer-review studies and the main mechanisms that promote aquifer salinization in the Mediterranean area are critically discussed, providing the state of the art on topics such as actual saltwater wedge characterization, paleo-salinities in coastal areas, water-rock interactions, geophysical techniques aimed at delineating the areal and vertical extent of saltwater intrusion, management of groundwater overexploitation using numerical models and GIS mapping techniques for aquifer vulnerability to salinization. Each of the above-mentioned approaches has potential advantages and drawbacks; thus, the best tactic to tackle coastal aquifer management is to employ a combination of approaches. Finally, the number of studies focusing on predictions of climate change effects on coastal aquifers are growing but are still very limited and surely need further research.

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Simulation of saltwater intrusion in a poorly karstified coastal aquifer in Lebanon (Eastern Mediterranean)

Cited by 26 publications

References 73 publications

Problems and promise of managed recharge in karstified aquifers: the example of Lebanon

Problems and promise of managed recharge in karstified aquifers: the example of Lebanon

Groundwater Salinity Susceptibility Mapping Using Classifier Ensemble and Bayesian Machine Learning Models

The Issue of Groundwater Salinization in Coastal Areas of the Mediterranean Region: A Review

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