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Hydrochemical Assessment and Quality of Groundwater in Tchamba Prefecture, Upstream of the Mono River Basin, Togo

Agbessi Koffi Sodomon*, Seyf-Laye Alfa-Sika Mande, Lallébila Tampo, Kossitse Venyo Akpataku, Moudassirou Sedou, Kossi Jorge Komlan

Department of Chemistry, Faculty of Sciences and Techniques, University of Kara, Togo

Abstract: Groundwater is the most important source of water supply in Tchamba prefecture. Groundwater quality contaminations have emerged in many geographical areas due to natural environmental processes and human intervention in the geosystems. Hydrochemical evolution of groundwater quality in the study area was investigated. The physicochemical parameters such as major ions were determined. Factor analysis was used to identify key parameters that described groundwater quality in the study area. The first two factors were considered: Factor 1 explained 53.43% of the total variance and translates the natural rainwater recharge and water-soil/rock interaction process. The second factor (F2) explained 22.05% of the total variance and expresses the anthropogenic pressure such as domestic sewage, uncontrolled landfill waste, fertilizers, and wastewater. The results showed that silicate mineral dissolution and cation exchange in aquifers play an important role in groundwater chemistry evolution.

Keywords: groundwater, hydrochemical, mineral dissolution, factor analysis

Received August 28, 2023; Revised October 03, 2023; Accepted October 13, 2023

Citation: Agbessi Koffi Sodomon, Seyf-Laye Alfa-Sika Mande, Lallébila Tampo, Kossitse Venyo Akpataku, Moudassirou Sedou, Kossi Jorge Komlan, Hydrochemical Assessment and Quality of Groundwater in Tchamba Prefecture, Upstream of the Mono River Basin, Togo. American Journal of Water Resources, 11 (4). 142-148. January 2023. doi:10.12691/ajwr-11-4-3

1. Introduction

Access to safe drinking water is a prerequisite for health, an essential human right, and a key component of effective health protection policies. Water is necessary for life, and all people must have access to a satisfactory water supply. Improved access to safe drinking water can result in tangible health benefits. Every human action should made to obtain drinking water that is as safe as possible [1,2]. Water resources in Togo are diverse, but groundwater is the primary source of drinking water for people in rural areas [3]. Groundwater is much less vulnerable than surface water [4,5]. Given the population growth and the socio-economic pressures in prefectures of Togo', particularly in Tchamba area, the water demand is increasingly high. The urban and peri-urban areas of Tchamba are not supplied with the water of the Togolese Society of Water, except a few urban areas. To meet this demand for drinking water, the authorities of water management carried out some boreholes..

Togo is committed to achieving the Sustainable Development Goals (SDGs)) including SDG6, which aims to ensure people at access to safe drinking water and sanitation by 2030 [1]. Safe drinking water is necessary for domestic uses including drinking, food preparation, and personal hygiene. However, the most of populations at risk from water-borne diseases are infants, young children, the weak, and the elderly, mainly when they live in unsanitary conditions [6]. Therefore, the assessment of the quality and hydrochemical study of water resources in urban, peri-urban, and rural areas play a significant role in the socio-economic development [2]. In the upstream of Mono River basin such as Tchamba, the intensification of agriculture with uncontrolled use of fertilizers, the poor management of household waste and untreated domestic wastewater released into the environment lead to the pollution of aquifers [7].

This study evaluated groundwater hydrochemistry and quality in Tchamba prefecture. The physicochemical parameters were determined and factor analysis, and classic graphs are used to identify the most important factors contributing to the drinking water quality. This paper may contribute to improved water resource management in the Tchamba prefecture. The findings may be applied to future planning and implementation measures to control groundwater quality.

2. Study Area

The study area is located between latitudes 8°15'0" to 9°15'0" N and longitudes 1°15'0" to 2°0'0" E, (Figure 1). The study area covers the urban and preurban areas of Tchamba The study area is in a tropical climate with one rainy season (from March to October) and one dry season (from April to September). However, the average of annual precipitation in the region is 1,208 mm per year. Winter is hot and dry with maximum temperatures above 30 °C. The average temperature in the region is about 26.4°C, with the high temperature recorded at 36.7°C and the lowest at 18,8°C [8]. Most of the area is a flat plain, with surface elevations ranging from 219 to 433 m a.s.l.(from DEM) [9].

3. Geology and Hydrogeology

The study area is in the structural unit of the Benino-Togolese plain, formed essentially by crystalline rocks. The geology is predominantly basic, with metamorphic rocks such as amphibole gneisses, massive metadiorites, and amphibolites.(Figure 2). These metamorphic rocks are spatially associated with mafic to ultramafic massifs that have retained mainly their magmatic texture. The mineralogical composition is generally as follows: green hornblende, epidote, plagioclase andesine or oligoclase, biotite, chlorite, interlocking quartz, muscovite and incidentally apatite, sphene and scapolite, interstitial brown hornblende, orthopyroxene, clinopyroxene, quartz, feldspars, zoïsite and garnets [10,11].

There are two main types of aquifers: Fissure and alteration aquifers. The frequency of fracturing varies according to the nature of the rock, its structural position, and bedding. The hardest rocks are generally the most fractured; schistose rocks, which are more deformable, are less fractured. The products of weathering are unevenly distributed and form porous media containing aquifers of limited volume. The permeability of alterites is generally low, around m/s. The average thickness of the weathering varies from 3 to 15 m. The storage capacity of a fissured massif is low due to the low useful porosity of 1 to 5% [12].

Figure 1. Study area map, showing the distribution of boreholes.

Figure 2. Geological map of Tchamba prefecture in the upstream of the Mono River basin, Togo

4. Material and Methods

4.1. Method of Investigation

Groundwater samples from 25 monitoring boreholes were collected to provide a uniform distribution over most of the drinking water supply area. The geographic coordinates of the wells were obtained using a GPS and used to create a distribution map using ArcGIS 10.7 software [13]. Water samples were collected in October 2021 in polyethylene bottles. The temperature, electrical conductivity, pH, and total dissolved solids (TDS) values were measured in situ. The concentration of ions, such as , , was measured in the laboratory within seven days after sampling. Samples were stored in a dark and cold place at 4°C. Volumetric analysis was used fo and [14]; were analyzed using a Molecular Adsorption Spectrophotometer METASH, 5200 and a flame spectrophotometer for [14].

4.2. Data Processing

The results were analyzed using a Piper diagram created by origin software [15], also used to perform multivariate statistical analysis. Nine standardized chemical parameters (Table 3) have been used in factor analysis. Before analysis, the data were normalized to a distribution with a mean of zero and a standard deviation of one. Factor extraction was performed using principal component analysis [16,17].

5. Results and Discussion

5.1. Groundwater Chemical Characterization

Table 1 shows descriptive statistics: minimum (Min), mean, maximum (Max), and standard deviation (SD) of groundwater quality parameters from 25 samples collected in October 2021.

Table 1. Descriptive statistic of groundwater quality parameter

The temperature varied by 1°C among the samples, and the minimum and maximum temperatures were 26.40°C and 26.66°C, respectively. Approximately 96% of samples were slightly acidic (pH<7.0), and 100% of samples were nearly neutral (pH 6.5 to 7.5). The acidity of the water in the study area is mainly related to CO₂ in surface soil layers, which is produced by biological activity or infiltration of precipitation [18].

The EC ranged from 140 to 680 μS. and then compliant with the World Health Organization (WHO) standard for drinking water (500 -1500 μs.) However, only 76 % of the samples had EC < 500 μS., and 24% could be classed as moderately mineralized (EC=500–1000 μS. ). The EC values range from 140 to 680 μS. and translate the interference of numerous natural processes [6].

Figure 3 shows the correlation between parameters. The correlation of EC and each of the ions was calculated using data from all the wells as follows (ion, r) : , 0.71; , 0.39; , 0.58; , 0.65; , 0.72; , 0.92; , 0.76; and , 0.26. These correlation coefficients show that the EC is strongly influenced by , , , , and (Figure 3) [19].

The most abundant cation in the groundwater was with values ranging from 4.80 to 51.20 mg/L. This was followed by Na (6,13 to 38.72mg/L), (3,16 to 19.93 mg/L), and (1,6 to 8.10 mg/L). The dominant anion in the groundwater was (34,16 to 240.34mg/L). The groundwater concentration of , , and ranges from 7.10 to 62.13, 0.01 to 3.97, and 0.21 to 43.08 mg/L, respectively. The concentrations at some locations show a pollution. Nitrate in groundwater reflects the anthropogenic impact of domestic sewage, uncontrolled landfill waste, fertilizers, and manure on the study area [20].

Figure 3. Correlation matrix with a correlogram

Table 2. Boreholes with slight nitrate (mg/L) pollution

The correlation coefficients among various groundwater quality parameters were obtained to investigate their interdependence. This shows that nitrate has a negative relationship with sulfate, bicarbonate alkalinity, and potassium, whereas the relationship with calcium, magnesium, sodium, chloride, and EC is positive (Figure 3).

5.2. Water Type

The major ions in groundwater from monitoring boreholes are plotted on a Trilinear diagram [21] shown in Figure 4. The trilinear plot of groundwater samples shows that the dominant water type in the area is mixed cation- type.

A Schoeller diagram (Figure 5) was used to compare the different boreholes and highlight the dominant anions and cations in each borehole [22]. Figure 5 showed that the groundwater in the study area was characterized by abundant of , ,. The Schoeller diagram also illustrated the impact of boreholes location on water quality, and samples from different boreholes had different dominant chemical species. The graphs show that most of these boreholes contained moderate nitrate levels. The peaks in a Schoeller diagram indicate the water type. In this case, the groundwater samples mainly contained and (Ca- type).

Figure 4. Piper diagram of groundwater wells in the study area

Figure 5. Schoeller diagram in the study area

5.3. Factor Analysis

The factor loadings of the variables (Table 3) reflect their correlation with the extracted factors. The first factor (F1) is a component built by , and explained 53.43% of the total variance. Factor 1 is strongly determined by the concentration, which could originate from the presence of dissolved . This factor reflects the dissolution of minerals (Table 3) and concentrations of major ions in the groundwater [23]. The second factor (F2) is a component built by and , and explained 22.05% of the total variance. is naturally present in groundwater at very low concentrations, and its source is human activities such as domestic or industrial waste or agriculture. Therefore, F2 also reflects the anthropogenic impact of domestic sewage [24], uncontrolled landfill waste, fertilizers, and wastewater on the study area. Indeed, some groundwater samples show a well-defined relationship between and cation ( and ) (Figure 3), highlighting that both elements are mostly originated from the excessive use of fertilizers [25].

Table 3. Factor loadings

These two factors express 75.48% of the variability of groundwater quality. The related parameters include , , , , , for F1; and for F2. However, the measurement of only two parameters ( and ) is sufficient for regular monitoring of the quality of groundwater. The other parameters can be determined by simple linear regression because of their correlation to these two parameters (Figure 3).

5.4. Hierarchical Cluster Analysis

According to cluster analysis, the boreholes can be grouped into three clusters (C1, C2 and C3) with similar parameters using hierarchical cluster analysis (Figure 6) [15,16]. C1 included boreholes B1, B5, B6, B9, B11, B16, B19, B20, B23 and B29. C2 included boreholes B2, B7, B24, B25, B26, B27 and B30 and C3 contained boreholes B3, B4, B10, B14, B15, B17 and B28. It is showed that all boreholes within each group have very similar pH, TDS, EC, and major and minor element content. Clustering reduces the number of sampling sites that would be required in any future studies. For example, during the exploration of a new field campaign for reconfiguring the water supply network and assessing the proposed network's reliability, it will be essential to map the changes in groundwater quality chemistry.

5.5. Minerals Dissolution

Previous studies [17] [26-32] had shown that c()/c() linear distribution of water samples denotes carbonate dissolution, and c()/c() nonlinear water sample distribution refers to silicate dissolution. The monitoring data from October 2021 shows that their plot in c()/c() are linear with axe y = x of most of the observation points in the study area. The scatter diagram (Figure 7) of c()/c() shows that the source of and originates from silicate mineral dissolution. Therefore, can indicate the water-rock interaction region. The high concentrations of , , and reflect mineral dissolution and rock weathering processes in the study area. The origin of in the study area should be the dissolution of and other processes.

Figure 6. Hierarchical cluster analysis dendrogram using Ward's method

Figure 7. Scatter plot of c() vs. c()

5.6. Ion Exchange

As previously mentioned, the main sources of and in the study area is related to a silicate mineral dissolution process. This process demonstrates that an increase in the concentration of should increase the concentration of . However, if Na/Ca exchange takes place, the concentration of will be lower, while the concentration of will be higher [2] [33-36]. A common feature/process of Ca/Na exchange is that when the concentration of increases, will decrease, and will increase. This type of region is the typical region of Ca/Na exchange. In the study area, and increased while the concentration of decreased. This shows that the Ca/Na ion exchange occurred in this area.

6. Conclusion

Hydrochemical assessment were performed using different techniques. The main water-rock interactions in the study area include mineral dissolution processes and cation exchange. The ranks of the abundance of the ions are as follows: > > > for anions and > > > for cations. Two factors, F1 and F2 extracted from the dataset represent the dissolution of minerals and the anthropogenic impact of domestic sewage, uncontrolled landfill waste, fertilizers, and wastewater on the study area. However, measuring only two parameters ( and ) is sufficient for regular monitoring of borehole water quality. The other parameters can be determined by simple linear regression because of their correlation to these two parameters. Hierarchical cluster analysis shows that the boreholes water were grouped into three clusters. All boreholes within each group have very similar pH, TDS, EC, major and minor elements content. Clustering of samples reduces the number of sampling sites that would be required in any future studies.

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