Climate change projections in the Ghis-Nekkor region of Morocco and potential impact on groundwater recharge

Asri, Hanane; Larabi, Abdelkader; Faouzi, Mohamed

doi:10.1007/s00704-019-02834-8

Cited by 23 publications

(4 citation statements)

References 5 publications

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“…Moreover, the study area has been the subject of several mainly geophysical studies such as electrical geophysics studies [3,4] for qualitative purposes, remote sensing, GIS for mapping potential groundwater zones [5], and isotopic techniques for characterizing groundwater composition [6]. More recently, El Asri et al [7] simulated the climate change impact following different projections on groundwater recharge in the region.…”

Section: Introductionmentioning

confidence: 99%

Determination of Physicochemical Water Quality of the Ghis-Nekor Aquifer (Al Hoceima, Morocco) Using Hydrochemistry, Multiple Isotopic Tracers, and the Geographical Information System (GIS)

Nouayti

Cherif

Algarra

et al. 2022

Water

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The chemical characterization of the Ghis-Nekor groundwater has become a concern of many researchers in Morocco. It is a crucial indicator for the environment situation and the socioeconomic development of this Moroccan region. Indeed, it helps decisionmakers carry out conscious and sustainable management. For this reason, 20 samples of the Ghis-Nekor aquifer were examined in terms of physicochemical parameters such as pH, temperature, electrical conductivity (EC), and total alkalinity (Alk), major cations–anions (Ca2+, Mg2+, Na+, K+, HCO3−, Cl−, SO42−, NO3−, and TDS), isotopic elements (δ18O, δ2H, and δ13C), and concentrations of Br and Sr anions in 2020. Furthermore, spatial data analysis with a geographic information system (GIS) using the ArcGis software (Redlands, California, USA). Indeed, static maps show significant water quality information that helps characterize the groundwater of the study area. The spatial analysis by the GIS indicates that except the EC (from 2630 to 6950 mS/cm), all the physical parameters showed standard concentration values in most of the samples. A significant concentration above the Moroccan norm of groundwater quality for sodium (Na+) from 264.3 to 1500 mg/L, chlorides (Cl−) concentrations from 408.3 to 1510 mg/L, SO42− from 313.1 to 999.2 mg/L, and bicarbonate (HCO3−) from 283.7 to 679.8 mg/L was observed, while all the points exceeded the recommended standards norm for SO42−. Most of the points met the potability standards for potassium (K+). In terms of the isotopic elements, the concentration values of δ18O were from −3.92‰ to –5.60‰, while the δ2H concentration values varied between −28.67‰ and −39.99‰. The analysis revealed values of carbon isotope δ13C ranging between −3.15‰ and −8.61‰, thus suggesting that the origin of the carbon is mineral, mainly deriving from calcite dissolution. The analysis of the bromide and strontium contents made it possible to discriminate the origin of the salinity anomalies. The Cl/Br, Br/Cl, and Sr/Ca molar ratios distinguished the areas of influence of geological setting (saliferous facies outcrops) or anthropogenic effect (wastewater). The results of the analysis shed light on factors of contamination, which are as follows: urban zones (Imzourene, Ait Youssef, and Souani) and agricultural activities. Therefore, the use of these waters could pose a risk to the health of humans and animals. Similarly, the GIS is a practical and effective tool for the Ghis-Nekor groundwater quality diagnostics and could help decisionmakers establish solutions.

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Section: Introductionmentioning

confidence: 99%

Determination of Physicochemical Water Quality of the Ghis-Nekor Aquifer (Al Hoceima, Morocco) Using Hydrochemistry, Multiple Isotopic Tracers, and the Geographical Information System (GIS)

Nouayti

Cherif

Algarra

et al. 2022

Water

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“…However, agriculture consumes a very high percentage of the global groundwater [1]. These natural resources are dealing with a variety of problems that endanger their long-term viability, including the results of environmental issues, human impacts, and natural forces [2][3][4][5][6]. In general, these issues degrade the physical and chemical composition of groundwater, rendering it unfit for agriculture.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Groundwater Quality for Irrigation in Deep Aquifers Using Multiple Graphical and Indexing Approaches Supported with Machine Learning Models and GIS Techniques, Souf Valley, Algeria

Eid

Elbagory

Tamma

et al. 2023

Water

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Irrigation has made a significant contribution to supporting the population’s expanding food demands, as well as promoting economic growth in irrigated regions. The current investigation was carried out in order to estimate the quality of the groundwater for agricultural viability in the Algerian Desert using various water quality indices and geographic information systems (GIS). In addition, support vector machine regression (SVMR) was applied to forecast eight irrigation water quality indices (IWQIs), such as the irrigation water quality index (IWQI), sodium adsorption ratio (SAR), sodium percentage (Na%), soluble sodium percentage (SSP), potential salinity (PS), Kelly index (KI), permeability index (PI), potential salinity (PS), permeability index (PI), and residual sodium carbonate (RSC). Several physicochemical variables, such as temperature (T°), hydrogen ion concentration (pH), total dissolved solids (TDS), electrical conductivity (EC), K+, Na2+, Mg2+, Ca2+, Cl−, SO42−, HCO3−, CO32−, and NO3−, were measured from 45 deep groundwater wells. The hydrochemical facies of the groundwater resources were Ca–Mg–Cl/SO4 and Na–Cl−, which revealed evaporation, reverse ion exchange, and rock–water interaction processes. The IWQI, Na%, SAR, SSP, KI, PS, PI, and RSC showed mean values of 50.78, 43.07, 4.85, 41.78, 0.74, 29.60, 45.65, and −20.44, respectively. For instance, the IWQI for the obtained results indicated that the groundwater samples were categorized into high restriction to moderate restriction for irrigation purposes, which can only be used for plants that are highly salt tolerant. The SVMR model produced robust estimates for eight IWQIs in calibration (Cal.), with R2 values varying between 0.90 and 0.97. Furthermore, in validation (Val.), R2 values between 0.88 and 0.95 were achieved using the SVMR model, which produced reliable estimates for eight IWQIs. These findings support the feasibility of using IWQIs and SVMR models for the evaluation and management of the groundwater of complex terminal aquifers for irrigation. Finally, the combination of IWQIs, SVMR, and GIS was effective and an applicable technique for interpreting and forecasting the irrigation water quality used in both arid and semi-arid regions.

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“…Galvão et al (2018) proposed a GIS framework for mapping PGR by incorporating a water budget analysis. There are also an increasing number of studies focused on the long‐term temporal variations of PGR due to climate change (Chen et al, 2004; Epting et al, 2021; Green et al, 2011; Herrera‐Pantoja & Hiscock, 2008; Holman et al, 2012; Jyrkama & Sykes, 2007; Meixner et al, 2016; Taylor et al, 2013; Woldeamlak et al, 2007), where climate change is found to affect the quantity and distribution of PGR (Busico et al, 2021; Crosbie, Pickett, et al, 2013; Crosbie, Scanlon, et al, 2013; El Asri et al, 2019; Flint & Flint, 2014; Ng et al, 2010). While some existing studies are at the global scale (Mohan et al, 2018), regional studies are valuable for identifying potential impact of climate change on sustainable groundwater management.…”

Section: Introductionmentioning

confidence: 99%

Groundwater recharge over the past 100 years: Regional spatiotemporal assessment and climate change impact over the Saguenay‐Lac‐Saint‐Jean region, Canada

Boumaiza

Walter

Chesnaux

et al. 2022

Hydrological Processes

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Proper knowledge of potential groundwater recharge (PGR) and its spatiotemporal distribution are essential for sustainable groundwater management, especially within the context of climate change. Here, a robust GIS‐based water budget framework was developed to estimate PGR at a regional scale and map its spatial distribution. This framework is demonstrated over the Saguenay‐Lac‐Saint‐Jean region (13 200 km2) of Quebec (Canada). The PGR mapping process was based on a model incorporating water budget components. The vertical inflows (VI) include water amounts from rainfall and snowmelt, whereby the latter was assessed using HYDROTEL model. VI were combined with the maximum and minimum temperatures to estimate actual evapotranspiration (AET), while the surface runoff (RuS) was assessed using the curve number method. Field observations of annual variation in temperatures and the water budget components, over a period of 100 years (1910–2009), were used to provide a comprehensive overview of the effects of climate change on PGR. The last 10 years of the observation period (i.e., 2000–2009) indicate that 6% of the study area has PGR rates of 35%–50%. PGR rates of 20%–35% occur in 58% of the study area, while 36% have PGR of 5%–20%. The trend analysis of temperature time series reveals an average of 1.1 ± 0.6°C increase over 100 years. Also, an increase in the water budget components is observed. Despite the increasing trends of RuS and AET, PGR still showed an increasing trend with an average increase of 0.7 ± 0.4 mm/year over the past 100 years. This observation indicates that the increase in VI was enough to compensate for the increases in AET and RuS. This finding of an increasing PGR in the study area provides useful information for future studies focusing on predicting long‐term PGR evolution and for the development of efficient long‐term groundwater management strategies.

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Climate change projections in the Ghis-Nekkor region of Morocco and potential impact on groundwater recharge

Cited by 23 publications

References 5 publications

Determination of Physicochemical Water Quality of the Ghis-Nekor Aquifer (Al Hoceima, Morocco) Using Hydrochemistry, Multiple Isotopic Tracers, and the Geographical Information System (GIS)

Determination of Physicochemical Water Quality of the Ghis-Nekor Aquifer (Al Hoceima, Morocco) Using Hydrochemistry, Multiple Isotopic Tracers, and the Geographical Information System (GIS)

Evaluation of Groundwater Quality for Irrigation in Deep Aquifers Using Multiple Graphical and Indexing Approaches Supported with Machine Learning Models and GIS Techniques, Souf Valley, Algeria

Groundwater recharge over the past 100 years: Regional spatiotemporal assessment and climate change impact over the Saguenay‐Lac‐Saint‐Jean region, Canada

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