Understanding groundwater geochemical evolution is crucial for sustainable water management, particularly in Algeria's semi-arid regions, where water scarcity is a major challenge. Sixty-five groundwater samples were collected and analyzed in March 2021 from the study area to identify hydrogeochemical processes, water–rock interactions, and groundwater suitability for drinking and irrigation. Results indicate significant variations in mineralization, with over 90% of samples highly mineralized, reaching 31,700 µS/cm. The abundance of major ions was Na2+ > Ca2+ > Mg2+ > K+ for cations and Cl > HCO3 > SO42− > NO32− for anions. Most samples are classified as very hard-brackish or hard-brackish, with Ca-Mg-Cl-SO4, Na-Cl, and Ca-Mg-HCO3 as the main water types. The increase in salinity is primarily due to geogenic processes, with some anthropogenic influence. Water–rock interactions and evaporation are the key factors controlling groundwater chemistry, with the dissolution of halite, gypsum, anhydrite, calcite, and dolomite playing a major role. Additionally, cation exchange and silicate weathering are prevalent processes in the groundwater system. Saturation index analysis reveals that anhydrite, gypsum, and halite are unsaturated, whereas aragonite, dolomite, and calcite are saturated. Regarding usability, over 73% of groundwater samples require treatment before drinking, while more than 80% are suitable for irrigation.

  • Hydrogeochemical characteristics of a semi-arid region are investigated.

  • The relationship between ions reveals hydrogeochemical processes and water–rock interactions.

  • The main types of rocks involved in water-rock interactions.

  • Cation exchange (Ca2+, Mg2+ with Na+, K+) and silicate weathering are major processes in the water system.

  • Groundwater quality is assessed using WQI, SAR, and % Na.

Groundwater is essential for the development of the socio-economy and eco-environment in many parts of the world, especially in arid and semi-arid regions (Zongjun et al. 2019; Haohao et al. 2024). Groundwater geochemistry is the main factor in its use for domestic, irrigation, and industrial purposes. However, interaction of groundwater with aquifer mineral species greatly controls the groundwater chemistry (Subramani et al. 2010). The hydrogeochemical processes responsible for the modification of the chemical composition of groundwater vary in space and time and are responsible for spatiotemporal variations of their chemistry (Krishna et al. 2009; Dehnavi et al. 2011). In the aquifer system, these processes help to clarify the contributions of the water–rock interaction as well as anthropogenic influences on the groundwater. Whereas, groundwater chemistry depends on a number of factors, such as the geological nature of aquifer rocks, recharge water quality, decay of organic matter, partial pressure of soil carbon dioxide (CO2), the dissolution of mineral species, and the degree of chemical weathering of rocks (Lakshmanan et al. 2003; Krishna et al. 2009; Refat & Humayan 2021). These factors and their interactions result in complex groundwater quality (Simge & Aysen 2013; Lakhvinder et al. 2019; Ratri et al. 2022).

In the Laouinet-Morsott region (Medjerda-Mellegue watershed) as in other semi-arid regions in Algeria, groundwater constitutes the main source exploited for various needs of the populations due to the shortage of surface water caused by weak and irregular rains. The demand for groundwater in this region has increased significantly in recent years due to rapid urbanization, significant expansion of irrigation, as well as increasing domestic needs of the population. The overexploitation of groundwater is revealed by the reduction of piezometric surfaces and the degradation of water quality. The Laouinet-Morsott aquifer is exploited extensively and continuously, and the chemical load of its waters is spatially variable, generally high, in the absence of means of treatment and/or softening of these waters, which constitutes a permanent concern for all populations of these areas. This situation requires searching for solutions to this worrying observation which involves a better knowledge of water chemistry and its determining factors.

Around the world, extensive research has been conducted on evaluating hydrogeochemical processes, water–rock interactions, and the suitability of groundwater for different purposes. Unfortunately, there is a lack of research on groundwater chemistry covering the Laouinet-Morsott area, with the exception of a study carried out in 2009 on part of the plain (Fehdi et al. 2009). This study examines the Laouinet-Morsott plain under different temporal and environmental conditions than the previous study, in order to provide a new database for scientific management and sustainable development, particularly for the protection of groundwater resources. This study aims to:

  • 1. Identify groundwater chemistry characteristics, origins, and water–rock interactions controlling hydrogeochemical processes using physicochemical parameters, multiple graphical approaches, chloro-alkaline indices (CAI-1 and CAI-2), and the saturation index (SI).

  • 2. Assess and classify the groundwater quality for drinking and irrigation using the water quality index (WQI), SAR, %Na, and QGIS. Overall, these studies provide useful insights and data for rational development and protection of groundwater resources in the region, and also seek to understand the current status of these resources to identify potential challenges and opportunities for their management.

Study area

The study region is part of the Medjerda-Mellegue watershed, located in the extreme northeast of Algeria on the Algerian-Tunisian border at 40 km. It lies between the latitudes 35°57′ N to 35°35′ N and longitude 8°7′E to 7°47′E. It covers a total area of 791.19 km2. This area (Figure 1) is located 49 km north of the city of Tébessa and 120 km from the Mediterranean Sea. The plain of Laouinet-Morsott has a semi-arid atmosphere with an alternating climate of a hot-dry season and a cold-wet season. The annual average precipitation is 362.23 mm (1985–2016) and the annual average temperature is 16.75 °C. The dominant characteristic of the climate is the tendency toward aridity which is characterized by the irregularity of precipitation and by high summer temperatures which lead to high evaporation and a significant water deficit. As a result, the supply of the basin is very variable in time and space. The study area bears witness to a well-hierarchical hydrographic channel, moderately dense and temporary but quite branched, flowing into large wadis, the most important of which are Mellegue and Chabro wadis (Figure 1). The confluence of Chabro wadi with Meskiana wadi to the south of the Laouinet plain gives rise to the Mellegue wadi, which flows from south to north to Tunisia (Fehdi 2008).
Figure 1

Location map of the study area and sampling locations.

Figure 1

Location map of the study area and sampling locations.

Close modal
The Laouinet-Morsott area consists of different geological ages, ranging from secondary to quaternary (Figure 2). The Triassic formations are the oldest found in the central parts of the uplifted anticlinal structures to the north, east, and west of the area. The Triassic is represented by a mixture of variegated clays, marls, sandstones, and gypsum containing blocks of black and red dolomites, micaceous sandstones, limestones, cargneules, and ophites, rich in bipyramidal quartz grains and pyrites. The study area is mainly made up of Lower and Middle Cretaceous terrain, represented by carbonate formations, composed of black limestone in platelets with intercalations of dark gray to black clay. While the Upper Cretaceous forms broad flanks of anticlines and synclines often overturned (Vila 1980; Fehdi 2008). The stratigraphic series is represented by beige to gray gypsiferous marls, marl-limestone plates rich in organic matter. The Miocene formations are thin (100 m) and exist in the center of the study area; they begin with a transgressive and discordant marine formation on Cretaceous lands. The Miocene consists of red limestone followed in order by green-colored clay and clay with coarse sandstone, respectively. The Quaternary deposits are distributed in the lower parts of the landforms, and cover large areas, particularly in the center of Morsott. The Quaternary of continental origin (10–30 m) is made up of conglomerates of Maestrichtian limestone gravel with sand cement (Fehdi 2008; Belloula 2016), while the upper part is characterized by a series of thick layers of poorly cemented quartz sandstone with large grains of marl or carbonate. The recent alluvium made up of fine silt, fine sand, gravel, and clay alluvium are deposited on both sides of Wadi Chabro (Fehdi 2008; Chellat & Djerrab 2011).
Figure 2

Geological map of the study area.

Figure 2

Geological map of the study area.

Close modal

Sampling and analysis

In this study, 65 water samples from wells and boreholes were collected in March 2021, covering scattered settlements and agricultural plots spread over most of the plain. The depth of the water points ranged from 30 to 200 m. Geographical coordinates were obtained using a GPS Status (Figure 1). Groundwater was sampled after pumping for more than 15 min. Water samples were collected in polyethylene plastic bottles. Before sampling, all bottles were cleaned three times with the water to be sampled, then refrigerated and promptly sent to the laboratory for analysis. Physical parameters such as pH, electrical conductivity (EC), and total dissolved solids (TDS) were measured in the field using a portable multi-parameter instrument (HORIBA U-5000, Kyoto, Japan). Total hardness (TH) was determined by a titrimetric method using EDTA (ethylene diamine tetra-acetic acid) at 0.01 mol/L. Major ions (Ca²⁺, Mg²⁺, Na⁺, K⁺, HCO₃⁻, Cl⁻, SO₄²⁻, and NO₃⁻) were analyzed by ion chromatography using a HACH DR-3900 at the Quality Control and Compliance Laboratory in Annaba, Algeria (Berrahmoune Laboratory). The ion balance percentage error for most water samples was within the acceptable limit of 5%, indicating the reliability of the laboratory analyses (WHO 2011).

Hydrogeochemical processes and water–rock interaction

In this study, the Piper diagram, Gibbs diagrams, ion exchange, CAIs, plots and ratios of major cations and anions, and the SI of major minerals were commonly used to describe the water chemistry, understand the hydrogeochemical processes resulting from rock–water interaction, and the factors controlling these processes.

Water quality assessment

The WQI is an important method for assessing the quality of groundwater and its suitability for private use. The WQI was calculated based on the weighted arithmetic method introduced by Horton 1965 (Hamlat & Guidoum 2018; Talhaoui et al. 2020; Ram et al. 2021). The WQI is represented as follows:
(1)
where Qn is the quality rating (sub-index) of the nth water quality parameter. Wn is the unit weight of the nth water quality parameter.
The unit weight (Wn) factors for each parameter are calculated by using the formula:
(2)
where Sn is the standard permissible value of the nth water quality parameter. K is the constant of proportionality and it is calculated by using the following expression:
(3)
According to Brown et al. (1972), the value of quality rating or sub-index (Qn) is calculated using the following equation:
(4)
where Vn is the concentration of the nth parameters. Sn is the standard desirable value of the nth parameters. V0 is the ideal value of the parameters in pure water.
All the ideal values (V0) are taken as zero for drinking water except pH and dissolved oxygen (Ram et al. 2021; Akhtar et al. 2021). In the case of pH, the ideal value is 7.0 (for natural/pure water), while the permissible value is 8.5 (for polluted water). Similarly, for dissolved oxygen, the ideal value is 14.6 mg/L, while the standard permissible value for drinking water is 5 mg/L. Therefore, the quality rating for pH and dissolved oxygen are calculated from the equations, respectively, as shown below:
(5)
(6)
where VpH is the observed value of pH and VDO is the observed value of dissolved oxygen.

If Qn = 0 implies the complete absence of contaminants, while 0 < Qn < 100 implies that the contaminants are within the prescribed standard. When Qn > 100 implies that the contaminants are above the standards (Poonam et al. 2013; Randriamahefa et al. 2020; Talhaoui et al. 2020). The calculated WQI was divided into five categories, as shown in Table 1.

Table 1

Water quality classification based on WQI, SAR, and %Na+ values (Sahu & Sikdar 2008; Hamlat & Guidoum 2018; Tiwari et al. 2018)

ParameterRangeType of water
WQI <50 Excellent 
50–100 Good 
100–200 Poor 
200–300 Very poor 
>300 Unfit for drinking 
SAR <10 Excellent 
10–18 Good 
18–26 Doubtful 
>26 Unsuitable 
%Na <20 Excellent 
20–40 Good 
40–60 Permissible 
60–80 Doubtful 
>80 Unsuitable 
ParameterRangeType of water
WQI <50 Excellent 
50–100 Good 
100–200 Poor 
200–300 Very poor 
>300 Unfit for drinking 
SAR <10 Excellent 
10–18 Good 
18–26 Doubtful 
>26 Unsuitable 
%Na <20 Excellent 
20–40 Good 
40–60 Permissible 
60–80 Doubtful 
>80 Unsuitable 

Groundwater from the study area is used not only for domestic and drinking applications but also for agricultural irrigation. Therefore, the suitability of the groundwater for irrigation was evaluated by calculating the sodium adsorption ratio (SAR) and percentage of sodium (%Na) (Wilcox 1948; Richards 1954). The classification of water quality according to SAR and Na levels is presented in Table 1.
(7)
(8)

Major ion chemistry

Statistical analysis of the major ions (Mg2+, Na+, K+, Ca2+, , , and Cl) is the basis of understanding the hydrogeochemical characteristics of groundwater (Zhou et al. 2016; Zongjun et al. 2019). The statistics of groundwater chemical parameters are presented in Table 2. The pH values ranged from 4.38 to 8.40, with an average of 7.52. Most of the sampled groundwater was a basic type (89.23%) and 10.76% was an acidic type. The variation in pH is essentially due to the change in geological facies and the variation in the CO2 content dissolved in the water during its infiltration into the soil and subsoil. EC ranged from 530 to 31,700 μS/cm with an average value of 4,101.01 μS/cm. In most cases, the EC value increases when it rains; rainwater dissolves various salts present in rocks and other chemical elements, which adds charged ions to groundwater, not forgetting the contribution of high evaporation from the topsoil to increasing the concentration of chemical parameters (Alsharifa et al. 2017; Ratri et al. 2022).

Table 2

Descriptive statistics, WHO standards, and assigned unit weights of the major parameters of groundwater

ParametersMaximumMinimumAverageWHO standards (2011)Relative weight (Wi)
pH 8.4 4.38 7.52 6.5–8,5 0,41721716 
EC (μS/cm) 31,700 530 4,101.04 1,000 0,00354635 
TDS (mg/L) 19,300 376 2,451.98 500 0,00709269 
TH (mg/L) 4,800 340 1,111.23 300 0,01182115 
Ca2+ (mg/L) 1,090.4 61 225.80 75 0,04728461 
Mg2+ (mg/L) 595.6 45.96 133.25 50 0,07092692 
Na+ (mg/L) 4,780 46.2 267.63 200 0,01773173 
K+ (mg/L) 190.42 31.39 12 0,29552882 
(mg/L) 3,610.83 218.79 562.73 120 0,02955288 
Cl (mg/L) 9,470.92 103 619.66 250 0,01418538 
(mg/L) 897.94 85 321.76 250 0,01418538 
(mg/L) 69.7 26.11 50 0,07092692 
CAI-1 0.56 −0.54 0.21 – – 
CAI-2 2.13 −0.33 0.24 – – 
SI (Halite) −3.14 −6.93 −5.96 – – 
SI (Gypsum) −0.37 −1.84 −1.14 – – 
SI (Anhydrite) −0.59 −2.06 −1.36 – – 
SI (Aragonite) 2.9 3.18 0.83 – – 
SI (Calcite) 3.05 −3.03 0.97 – – 
SI (Dolomite) 6.17 −5.84 2.11 – – 
Total 1 
ParametersMaximumMinimumAverageWHO standards (2011)Relative weight (Wi)
pH 8.4 4.38 7.52 6.5–8,5 0,41721716 
EC (μS/cm) 31,700 530 4,101.04 1,000 0,00354635 
TDS (mg/L) 19,300 376 2,451.98 500 0,00709269 
TH (mg/L) 4,800 340 1,111.23 300 0,01182115 
Ca2+ (mg/L) 1,090.4 61 225.80 75 0,04728461 
Mg2+ (mg/L) 595.6 45.96 133.25 50 0,07092692 
Na+ (mg/L) 4,780 46.2 267.63 200 0,01773173 
K+ (mg/L) 190.42 31.39 12 0,29552882 
(mg/L) 3,610.83 218.79 562.73 120 0,02955288 
Cl (mg/L) 9,470.92 103 619.66 250 0,01418538 
(mg/L) 897.94 85 321.76 250 0,01418538 
(mg/L) 69.7 26.11 50 0,07092692 
CAI-1 0.56 −0.54 0.21 – – 
CAI-2 2.13 −0.33 0.24 – – 
SI (Halite) −3.14 −6.93 −5.96 – – 
SI (Gypsum) −0.37 −1.84 −1.14 – – 
SI (Anhydrite) −0.59 −2.06 −1.36 – – 
SI (Aragonite) 2.9 3.18 0.83 – – 
SI (Calcite) 3.05 −3.03 0.97 – – 
SI (Dolomite) 6.17 −5.84 2.11 – – 
Total 1 

Na+ is the dominant cation present in the collected water samples, and the concentration of Na+ varied from 46.2 to 4,780 mg/L, with an average of 267.63 mg/L. The dissolution of halite is the main source of sodium concentration in samples (Fehdi 2008; Halimi & Djabri 2024). In addition, the dissolution of silicates and cation exchange can increase the concentration of Na+ in groundwater (Fehdi 2008; Li et al. 2016). Ca2+ and Mg2+ were the secondary cations in groundwater, with concentrations ranging from 61 to 1,090 mg/L and 45.96 to 595.6 mg/L, respectively. The concentration of K+ was found to be relatively low compared with other cations and ranged between 7 and 190.42 mg/L. The source of potassium in the groundwater of the study area is the weathering of potassic clays and leaching of evaporites as well as the dissolution of chemical fertilizers used in agricultural activities. The average concentrations of Ca2+, Mg2+, and K+ are 225.80, 133.25, and 31.39 mg/L, respectively. The average concentration of cations in the groundwater samples for this study was Na2+ > Ca2+ > Mg2+ > K+.

Cl is the dominant anion in groundwater samples, with average contractions in the order Cl > > > . Cl ranges from 103 mg/L (G13) to 9,470 mg/L (G60) with an average of 619.61 mg/L. The mean concentrations of , , and are 562.73, 321.76, and 26.11 mg/L, respectively. The maximum concentration of was found in sample G5, while G60 and G46 had the highest concentrations of . The presence of in groundwater is mainly due to anthropogenic inputs such as agricultural activities and naturally to the dissolution of marly-gypsum formations. The concentration of nitrite ranges from 7 to 69.8 mg/L, with a mean value of 26.11 mg/L. The highest concentration of was found in sample G53. The concentrations of TDS and TH vary from 376 to 19,300 mg/L and 340 to 4,800 mg/L, with an average of 2,451.98 to 1,111.23 mg/L, respectively. Groundwater samples were plotted in the integrated water quality diagram of the TDS versus the TH. Figure 3 shows that the groundwater samples of the study area belong to five categories: very hard-brackish (52.30%), hard-brackish (24.61%), hard-fresh (13.87%), moderately hard-fresh (6.15%), and two samples (G5, G33) belonged to the very hard-saline category (3.07%).
Figure 3

Plot of total dissolved solids (TDS) versus total hardness (TH) of groundwater.

Figure 3

Plot of total dissolved solids (TDS) versus total hardness (TH) of groundwater.

Close modal

Water types

The characterization of hydrogeochemical data can be accomplished by identifying the hydrochemical facies of water in the area (Zongjun et al. 2019; Ratri et al. 2022). This identification can be made by analyzing water data in various diagram plots. The Piper diagram is a simple and widely used method for determining groundwater types in this work. The analysis of chemical parameters shows that the groundwater samples are characterized by the abundance ions [Na+/Ca2+, Cl/], [Mg2+/Ca2+, Cl], and [Mg2+/Ca2+, /]. The triangle of anions shows a tendency toward chlorides, while that of cations shows a tendency toward sodium (Figure 4). The diamond-shaped fields are divided into three types, namely mixed Ca–Mg–Cl–SO4 (G1.G6.G11.G18 …), Na–K–Cl (G65.G63.G54.G7), and mixed Ca–Mg– (G5, G39). This transition of one facies to another indicates the complexity of the processes of hydrogeochemicals that govern the salinity of waters. In addition to the climatic factors, it is generally observed that the chemistry of groundwaters is mostly governed by the mineralogical and chemical composition of various lithology with which the rainwater interacts during its passage through rocks/soil down to the aquifer (Djabri 1987; Naima et al. 2012; Elzien & Hamed 2016).
Figure 4

Piper diagram of 65 groundwater samples.

Figure 4

Piper diagram of 65 groundwater samples.

Close modal

Water–rock interaction

The geological formations, water–rock interaction, and relative mobility of ions are prime factors influencing the geochemistry of groundwater (Lakshmanan et al. 2003; Shajedul & Mostafa 2022). Where the ion concentrations in groundwater depend on the hydrogeochemical processes involved in the aquifer system. Water–rock interaction reflects the differences in mineral composition of the aquifer, and existence of fissures, faults, and cracks which affect groundwater movement in the subsurface medium (Krishna et al. 2009; Awadh et al. 2016). Generally, different chemical processes occur during rock–water interaction, which includes dissolution/precipitation, rock weathering, ion exchange processes, oxidation, and reduction (Dehnavi et al. 2011).

Gibbs plot: The Gibbs diagram is a widely used graphical representation to establish the relationship between water composition and aquifer lithology (Edukondal et al. 2020). It classified the water into three distinct fields such as precipitation dominance, evaporation dominance, and rock–water interaction dominance (Gibbs 1970). Gibbs ratios are calculated using the following equations:
(9)
(10)
where all ions are expressed in meq/L.
As shown in Figure 5, most of the samples are located in the rock weathering dominant field, and a few samples are placed in the evaporation zone, which indicates that water–rock interactions are the predominant natural mechanism in determining the groundwater chemistry with the influence of evaporation in this area. The Na+/(Na+ + Ca2+) ratios ranged from 0.241 to 0.877 with a mean of 0.45, suggesting strong cation exchange in the groundwater system (Wu et al. 2015, 2018; Fenglin et al. 2022).
Figure 5

Gibbs diagram of groundwater samples.

Figure 5

Gibbs diagram of groundwater samples.

Close modal
Ion exchange: Represented in Equations (11) and (12) is another important process responsible for the concentration of ions in groundwater in the study area (Subramani et al. 2010; Zhou et al. 2016; Zhang et al. 2018a, 2018b). A plot of [Na+ + K+ − Cl] versus [Ca2+ + Mg2+ − HCO3 − SO42−] is a method that can be used to examine the occurrence of cation exchange in the aquifer (Qichen et al. 2020). Figure 6(a), most of the water samples are close to the line y = −x, indicates that the cation exchange reaction plays a significant role in controlling the composition of major ions in groundwater.
Figure 6

Scatter plots of (a) [Na+ + K+ − Cl] versus [Ca2+ + Mg2+] and (b) [Mg2+/Na+] versus [Mg2+/Ca2+].

Figure 6

Scatter plots of (a) [Na+ + K+ − Cl] versus [Ca2+ + Mg2+] and (b) [Mg2+/Na+] versus [Mg2+/Ca2+].

Close modal
The relationship of [Mg2+/Na+] versus [Mg2+/Ca2+] can be used to analyze soil salt leaching and evaporation (Xiao et al. 2015; Zhou et al. 2016; Ali et al. 2023). Figure 6(b) shows that when evaporation increases, the Mg2+ concentration remains constant due to soil salt leaching and saline precipitation (Naima et al. 2012; Zongjun et al. 2019). The results were divided into two parts, the first being low Mg2+/Na+ ratios and somewhat high Mg2+/Ca2+ ratios, indicating that evaporation was an important geochemical process controlling groundwater chemistry. Samples from the second part showed an increase in the Mg2+/Na+ and Mg2+/Ca2+ ratios, suggesting that the chemical composition of these samples is subject to water–rock/soil interactions and evaporation processes.
(11)
(12)
Chloro-alkaline indices (CAIs) are suggested by Schoeller (1965, 1967), which indicate the ion exchange between the groundwater and its host environment (Simge & Aysen 2013; Krishna Kumar et al. 2014; Edukondal et al. 2020). Chloro-alkaline indices (CAI-1 and CAI-2) can be expressed using Equations (13) and (14) (Schoeller 1965; Narsimha et al. 2018; Edukondal et al. 2020). When Na+ and K+ in the groundwater system exchange with Mg2+ or Ca2+, CAI values are positive. In this system, Na+ and K+ will decrease in groundwater, representing a direct ion exchange (Zongjun et al. 2019). Conversely, the CAIs are negative, and this represents the reverse reaction (Simge & Aysen 2013; Tajinder et al. 2017). If the CAI value is zero, there is no exchange, which explains the state of equilibrium between the chemical components present in groundwater and aquifer material. As shown in Figure 7, most of the CAI values for the groundwater samples in CAI-1 and CAI-2 are positive (86%), with an average of 0.208 and 0.248, respectively (Table 2), while few of the samples (14%) show a negative value. This indicates that cation exchange is the predominant process between Ca2+ and Mg2+ in the host rocks and Na+ and K+ in the groundwater (Equation (11)) (Qian et al. 2016; Lakhvinder et al. 2019).
(13)
(14)
Figure 7

Bar diagram of chloro-alkaline indices.

Figure 7

Bar diagram of chloro-alkaline indices.

Close modal

All values in meq/L.

As mentioned earlier, water–rock interactions are the predominant processes regulating the hydrogeochemical composition of groundwater samples in the watershed. To further illustrate the rocks and minerals involved in water–rock interactions, major ion ratios were used in this study. The bivariate plot [Ca2+/Na+ to Mg2+/Na+ and /Na+] is used mainly to identify the different types of rocks, and this diagram (Figure 8(a)) is separated into three dominances: the dominance of evaporites, carbonates, and silicates (Fenglin et al. 2022; Shajedul & Mostafa 2022; Aissam et al. 2023). Most water samples (Figure 8(a)) are distributed successively between carbonates, evaporites, and silicates, suggesting that the dissolution of carbonates and evaporites are the predominant hydrochemical reactions compared with the dissolution of silicates which includes some samples in the aquifer system of the study region.
Figure 8

Plots showing (a) Ca2+/Na+ versus Mg2+/Na+ and /Na+, (b) Na+ versus Cl, (c) versus Ca2+, (d) [ + ] + versus [Ca2+ + Mg2+], (e) versus Ca2+ and Ca2+ + Mg2+, and (f) Na + versus Ca2+.

Figure 8

Plots showing (a) Ca2+/Na+ versus Mg2+/Na+ and /Na+, (b) Na+ versus Cl, (c) versus Ca2+, (d) [ + ] + versus [Ca2+ + Mg2+], (e) versus Ca2+ and Ca2+ + Mg2+, and (f) Na + versus Ca2+.

Close modal

In general, if the ratio between Na+ and Cl equal to 1 implies halite dissolution (Equation (15)) (Dehnavi et al. 2011), while the increased concentration of Na+ than Cl means that Na+ comes from silicate weathering and/or the ion exchange process (Mayback 1987). As shown in Figure 8(b), most of the water samples are distributed along the line x = y = 1, which indicates that halite dissolution is the main source of Na+ and Cl in groundwater. However, in the study area, the average annual rainfall reached 362 mm. In this situation, the free halite might not be available for dissolution in the soil zone, but the irrigation in the study area could increase the concentration of Na+ in the groundwater.

The milliequivalent ratio of Ca2+ and equal to 1 indicates that the main origin of , Ca2+ coming from the dissolution of gypsum (Equation (16)) and anhydrite (Equation (17)). As shown in Figure 8(c) that all groundwater samples were situated below the 1:1 line of gypsum dissolution, we suggest that there are another hydrochemical processes can decrease the concentration of Ca2+ such as the cation exchange processes (Sadek 2011; Fenglin et al. 2022; Ali et al. 2023).
(15)
(16)
(17)

Datta & Tyagi (1996), Rajmohan & Elango (2004), and Sandow (2009) suggest that using the diffusion diagram [Ca2+ + Mg2+ vs. + ] can help to determine the sources of these ions by evaluating the trend line formed by these ions (Figure 8(d)). If water samples are located above the equiline (1:1) indicate a dominance of carbonate weathering. A dominance of silicate weathering if the water samples are distributed below the 1:1 line, while those falling along the equiline (Ca2+ + Mg2+ = + ) imply that these ions are due to both carbonate weathering (Equations (18)–(20)) and silicate weathering (Equation (21)) (Dehnavi et al. 2011; Collins 2021).

On the other hand, the ratio [Ca2+ + Mg2+ vs. + ] can be used to determine the ion exchange in the water system (Equations (11) and (12)). The cation exchange process exists in groundwater if the samples lie below the line x = y = 1. While the samples above the x = y = 1 line suggest that the reverse cation exchange is a prevalent reaction in groundwater (Zhang et al. 2018a, 2018b). As shown in Figure 8(d), most of the water samples are located along the equiline (x = y), implying that these ions are produced from the weathering of carbonate and silicate minerals. Moreover, according to McLean & Jaukwski (2000), the ratio between ( + ) and (Ca2+ + Mg2+) is 1:1; the dissolution of gypsum, calcite, anhydrite, and dolomite is the predominant process controlling the chemical composition of groundwater. While the few points above the equiline indicate the effect of carbonate weathering in the system (Krishna et al. 2009; Refat & Humayan 2021). In this reaction, CO2 reacts with saturated water to form carbonic acid (Equation (18)), and the latter reacts with calcium carbonate present in the soil to form calcium and bicarbonate ions (Equation (19)).
(18)
(19)
(20)
(21)

Figure 8(e) shows the bivariate plot [ to Ca2+ and Ca2+ + Mg2+], the equivalent ratio of [/Ca2+] would be 1:1 to 2:1 depending on the partial contribution of carbonic acid and strong acid (nitric acid and sulfuric acid), while this ratio equals 1:1 to 1:2 implies weathering of dolomite (Equation (20)) (Jianwei et al. 2020; Ali et al. 2023). If the equivalent ratio of [/(Ca2+ + Mg2+)] equals 1:1 to 2:1, the Ca2+, Mg2+ and ions come only from the carbonate weathering, while water samples located on the 1:1 line indicate that the dissolution of dolomite takes place in the chemical composition of the groundwater. As shown in Figure 8(e), the dissolution of calcite and dolomite are the main processes affecting the chemistry of these samples. Additionally, a few water samples falling below the 1:1 line show decreased concentrations of Ca2+ and Mg2+ relative to , suggesting the presence of other hydrogeochemical processes such as silicate weathering and/or cation exchange (El Alfy et al. 2017; Zongjun et al. 2019; Refat & Humayan 2021).

The alteration of carbonates by carbonic acid and water saturated with CO2 is a dense process in the groundwater of the study area. Whereas this water can easily dissolve the carbonate minerals available in its flow path, which leads to an increase in the concentration of calcium, magnesium, and bicarbonate ions in the groundwater. Furthermore, the Na/Ca scatter plot (Figure 8(f)) shows that ion exchange (Ca/Na) also increased the calcium concentration in the groundwater (Dehnavi et al. 2011; Mohsen et al. 2014). The dissolution of magnesium calcite (Equation (20)), gypsum, and/or dolomite provides the magnesium ion, if the weathering of carbonates and silicates (Equation (21)) in the same place, bicarbonate and sodium ions are dominant to other ions present in the groundwater.

Saturation index

The SI is a crucial indicator of the chemical equilibrium between water and minerals in the aquifer matrix (Zaidi et al. 2016; Ahmed et al. 2022; Jingzhong et al. 2024). The SI measures the degree of saturation of water with respect to a specific mineral, indicating whether the water will dissolve more of the mineral (undersaturation, SI < 0), is in equilibrium (SI = 0), or will precipitate the mineral (supersaturation, SI > 0). The SI is calculated as follows:
(22)
where IAP signifies the ion activity product and KT mineral is the solubility constant of the mineral. In this study, PHREEQC software was used to calculate the SI of groundwater samples. As shown in Table 2, the SI values for aragonite, dolomite, and calcite range from −3.18 to 2.9, −3.03 to 3.05, and −5.84 to 6.17, with a mean of 0.83, 0.977, and 2.11, respectively. These values indicate that most of the samples are supersaturated with these minerals, except for samples G6, G35, G60, and G62 (Figure 9). The SI values for anhydrite, gypsum, and halite vary from −2.06 to −0.59, −1.84 to −0.37, and −6.93 to −3.14, with averages of −1.36, −1.14, and −5.96, respectively. It was found that all water samples were not saturated with anhydrite, gypsum, and halite. This indicates that the samples can dissolve these minerals continuously.
Figure 9

Saturation index (SI) for relevant minerals (a and b).

Figure 9

Saturation index (SI) for relevant minerals (a and b).

Close modal
Figure 10

Spatial distribution of WQI in the study area.

Figure 10

Spatial distribution of WQI in the study area.

Close modal

Several environmental factors influence the SI, such as evaporation, temperature, pH, and pressure. Evaporation plays a significant role in concentrating dissolved minerals in groundwater, often leading to oversaturation and the precipitation of these minerals. At higher temperatures, the solubility of halite, gypsum, and anhydrite increases, which can lower the SI and prevent precipitation. However, the increase in temperature decreases the solubility of calcite, dolomite, and aragonite, thereby increasing the SI and promoting precipitation.

The pH of water influences the chemical form and solubility of many minerals; alkaline conditions decrease the solubility of calcite, dolomite, and aragonite, increasing the SI and promoting precipitation, whereas acidic conditions increase their solubility and decrease the SI. Generally, halite, gypsum, and anhydrite are less affected by pH changes. Furthermore, pressure impacts the solubility of gases in water, such as CO2, which can affect the pH and, consequently, the SI. Higher pressure increases the solubility of CO2, which can form carbonic acid and lower the pH, thus decreasing the SI. Lower pressure decreases CO2 solubility, potentially increasing the pH and the SI.

Water quality assessment

Groundwater quality assessment is an important topic around the world because water quality is directly related to human health. In this study, the WQI was used to define the quality of groundwater intended for consumption (Suneetha et al. 2015; Twana et al. 2019; Mohamed et al. 2021). According to the groundwater quality standards of the World Health Organization (WHO 2011), the relative weight (Wi) of each physicochemical parameter (pH, EC, TDS, TH, Ca2+, Mg2+, Na+, K+, , Cl, , ) were calculated to assess water quality and are represented in Table 2.

Results of the quality of the groundwater for drinking purposes are shown in (Figure 10), using the inverse distance weighted (IDW) interpolation. The WQI values range from 69.44 to 844.7 with a mean of 173.71. According to the WQI classification in Table 1, the WQI results range from II to V, suggesting that the groundwater quality ranges from good to unfit for drinking. The results showed that more than half of the samples were of poor quality, while (26.15%) were good, (13.84%) unfit for drinking, and (7.69%) very poor water.

The poor quality of groundwater in the study area can be attributed to various factors: natural effects like water interacting with different geological formations, anthropogenic influences such as the infiltration of agrochemical products, manures, and wastewater. Without forgetting the overexploitation of aquifers and the drought that has hit the region in recent years, are among the reasons leading to the deterioration of groundwater quality.

The quality of groundwater can also determine its suitability for irrigation, as high levels of ions in the water can affect plants and soil. In order to determine the quality of groundwater for agricultural and irrigation activities, SAR and %Na were calculated, and the results were represented in spatial maps obtained using the IDW method.

The SAR values for the 65 groundwater samples range from 1.72 to 190.05. Where 49.23% of these groundwater samples were found to be excellent water for irrigation, while 32.30% of the samples belonged to good water, 15.38% of samples were unsuitable quality for irrigation, and two samples (G5, G54) were classified as doubtful water (3.07%) (Figure 11(a)).
Figure 11

Distributed map of SAR (a) and %Na (b).

Figure 11

Distributed map of SAR (a) and %Na (b).

Close modal

Sodium concentration is important in grading water for irrigation purposes because it can reduce the permeability and the structure of the soil (Todd 1980). The results obtained show that irrigation water can be divided into three groups according to the %Na classification standards (Table 2). The %Na values of the groundwater samples range from 22.41 to 79.70. Most of the groundwater samples are good water (73.84%), while 24.61% of the samples belong to permissible water and 3.07% of all samples are classified as doubtful water (Figure 11(b)).

The quality of drinking water and economic development, especially agricultural development on which the region depends are linked to groundwater security. For this reason, groundwater quality should be improved through rational exploitation of resources and control of pollution sources to stimulate economic development.

The hydrogeochemical properties, the water–rock interaction processes, and the groundwater's quality intended for drinking and irrigation uses were evaluated. The main findings are as follows:

  • (1) Groundwater in the study area consists of dominant cation and anion sequence Na2+ > Ca2+ > Mg2+ > K+ and Cl > > > , respectively. The excess mineralization and salinity in almost all of the study areas are due to the influence of natural processes and anthropogenic activities. Most of the water samples belong to very hard-brackish or hard-brackish water, and the dominant water types are mixed Ca–Mg–Cl–SO4, Na–K–Cl, and Ca–Mg–.

  • (2) After correlation analysis and water–rock interaction analysis, the water–rock interactions and evaporation are the predominant processes in the formation of hydrochemical components. In general, the main rocks involved in water–rock interactions are evaporites, carbonates, and silicates. Dissolutions of halite, gypsum, anhydrite, calcite, and dolomite are the predominant processes contributing to defining the groundwater chemistry. Additionally, cation exchange (exchange of Ca2+ and Mg2+ with Na+ and K+) and silicate weathering are also the prevalent processes in the water system.

  • (3) Through geochemical calculations, the SI of halite, gypsum, and anhydrite in the aquifers is less than zero, indicating that these minerals are unsaturated and can dissolve continuously in the aquifers. In contrast, aragonite, calcite, and dolomite in the aquifers are in a saturated state.

  • (4) Based on the WQI, more than 73% of all groundwater samples are categorized as poor, very poor, or unfit for drinking, indicating that the water from this groundwater is not suitable for drinking. In this result, the groundwater must be treated before use. According to SAR and %Na, more than 80% of samples are suitable for the purpose of irrigation.

The studied region, facing an increasing shortage of groundwater, is encountering major challenges in managing its resources. Rapid urbanization, the intensification of agricultural activities, and the overexploitation of groundwater are worsening the situation. Additionally, the infiltration of untreated wastewater and the discharge of pollutants are further degrading the quality of groundwater. To address these issues, urgent and specific measures are required to protect and improve these vital resources:

  • (1) Strengthening the control of illegal drilling and sustainable management of aquifers

    • Action: Implement a strict permit system for all wells, requiring annual reports on groundwater use.

    • Timeline: Within the first 2 years, all wells should be registered and monitored, with annual follow-up on extracted volumes.

    • Goal: Reduce illegal wells by 70% within 5 years and maintain groundwater levels at a sustainable threshold over the next 10 years.

  • (2) Progressive modernization of wastewater treatment infrastructure

    • Action: Upgrade wastewater treatment systems in critical industrial and agricultural areas, with a 5-year investment plan to ensure effluents are treated before discharge.

    • Timeline: Begin infrastructure audits within the first year and complete the modernization program over the next 5 years.

    • Goal: Achieve 100% wastewater treatment in major urban and agricultural areas within 6 years.

  • (3) Establishment of a continuous water quality monitoring network

    • Action: Install automatic sensors to monitor pollution levels, salinity, and other water quality indicators in key groundwater extraction areas.

    • Timeline: Implement the monitoring system within 3 years, with annual reports on groundwater quality.

    • Goal: Obtain continuous data on water quality and adjust policies based on these results to ensure adaptive management over a 10-year period.

  • (4) Long-term training and awareness programs for farmers

    • Action: Launch ongoing training programs for farmers on efficient irrigation practices, such as drip irrigation, and reduced use of fertilizers and pesticides.

    • Timeline: Start training within the first 6 months, with annual follow-up to ensure the adoption of sustainable practices over the next 5 years.

    • Goal: Reduce chemical fertilizer use and water consumption for irrigation by 40% in agricultural operations within 7 years.

  • (5) Public awareness campaigns on water management and environmental risks

    • Action: Organize regular (quarterly) awareness campaigns to educate the public on best water management practices, the risks of untreated discharges, and the impact of human activities on aquifers.

    • Goal: Improve environmental awareness among 80% of residents and farmers over the next 5 years.

  • (6) Promotion of climate-adapted crops and long-term sustainable irrigation

    • Action: Encourage the planting of crops suited to semi-arid climates and the adoption of water-efficient irrigation systems through subsidies and incentives.

    • Timeline: Expand subsidy programs within the next 2 years, with biennial reviews to assess progress.

    • Goal: Reduce water consumption in large agricultural operations by 35% within 7 years and increase the proportion of climate-adapted crops by 50% within 10 years.

  • (7) Investment in long-term research to adjust policies

    • Action: Fund scientific research on the impacts of climate change and pollutant discharges on groundwater quality, with studies published every 3 years to adjust policies accordingly.

    • Timeline: First publication within the next 3 years, followed by regular updates every 3–5 years.

    • Goal: Update water management policies every 5 years based on research findings.

The rigorous implementation of these recommendations is essential to ensure sustainable water resource management in this region. This approach will promote balanced economic growth, particularly in the sectors of urban development and agriculture, while protecting public health, preserving resources for future generations, and ensuring rational development.

All relevant data are included in the paper or its Supplementary Information.

The authors declare there is no conflict.

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