Seasonal Variation in the Chemical Facies of Turonian-Coniacian Waters Exploited in the Benn-Togo Sedimentary Basin
Cherguie Mellone Extraila Gléssougbé1,2orcid, Abdoukarim Alassane1, Arouna Yessoufou1, Bio Guidah Chabi1, Akilou Socohou Amadou2,3, Kodjo Apelete Raoul Kpegli1, Kissao Gnandi4, Huguete Emvoutou5, Sérigne Faye6, Daouda Mama1
1Laboratory of Applied Hydrology (LHA), National Water Institute (INE), University of Abomey-Calavi (UAC), Cotonou, Benin.
2International Chair in Mathematical Physics and Applications (ICMPA-UNESCO Chair), Cotonou, Benin.
3Laboratory of Water and Environmental Sciences and Technologies (LSTEE), National Water Institute (INE), University of Abomey-Calavi (UAC), Cotonou, Benin.
4Waste Management, Treatment and Recovery Laboratory, Faculty of Sciences, University of Lomé, Lomé, Togo.
5Laboratory of Geosciences, Natural Resources and Environment (LGRNE), Faculty of Sciences, University of Douala, Douala, Cameroon.
6Geology Department, Faculty of Sciences and Techniques, Cheikh Anta Diop University of Dakar (UCAD), Dakar, Senegal.
DOI: 10.4236/jwarp.2026.186020   PDF    HTML   XML   11 Downloads   66 Views  

Abstract

Hydrogeochemistry of the Turonian-Coniacian aquifer was studied over the northern part of the Benin-Togo Coastal Sedimentary Basin to enhance groundwater facies knowledge, mineralization processes, and probable interactions between groundwater and surface water. The study employed geochemical analyses and hydrochemical diagrams which revealed that groundwater chemistry changes seasonally and differs between Benin and Togo. In Benin, bicarbonate-type waters dominated during the dry season, while chloride-type waters were more common during the rainy season. Sodium chloride waters dominated in the dry season in Togo, whereas bicarbonate waters were more prevalent in the rainy season. Three main processes controlling water mineralization were identified in this study as follows: dissolution/concentration, impacts from human activities, and ion exchange mechanisms. Hierarchical Cluster Analysis (HCA) further showed evidence of probable interconnection between groundwater and surface water in both seasons. Ultimately, the study improved understanding of the aquifer system and provided useful information for a sustainable water resource management in the Benin-Togo Coastal Sedimentary Basin, while highlighting the need for further lithostratigraphic and isotopic studies.

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Gléssougbé, C.M.E., Alassane, A., Yessoufou, A., Guidah Chabi, B., Socohou Amadou, A., Kpegli, K.A.R., Gnandi, K., Emvoutou, H., Faye, S. and Mama, D. (2026) Seasonal Variation in the Chemical Facies of Turonian-Coniacian Waters Exploited in the Benn-Togo Sedimentary Basin. Journal of Water Resource and Protection, 18, 392-410. doi: 10.4236/jwarp.2026.186020.

1. Introduction

The variation in global water resources is linked to climate change and population growth. According to [1], the aquifers of the coastal sedimentary basin of the Gulf of Guinea, extending from Ghana to Nigeria, are under increasing human pressure. Population settlements in this area are often not accompanied by the implementation of basic sanitation systems, meaning that human activities threaten the quality of water resources in general, and groundwater resources in particular. Only half of the freshwater contained in groundwater (0.3% of the total water on Earth) is accessible to humans for direct consumption [2]. Consequently, population growth, agricultural development, and increasing industrialization in these countries have led to greater exploitation of groundwater resources and high levels of human-caused pollution. Water quality deterioration is often irreversible, at least in shallow aquifers. Benin and Togo are not spared from these difficulties.

In both Togo and Benin, groundwater constitutes a significant part of the country’s water resources, and access to drinking water for the population is a major concern for the government. For decades, these countries have developed adequate water infrastructure to guarantee a drinking water supply for rural communities.

Togo shares the coastal sedimentary aquifer with Ghana, Benin, and Nigeria; there are no significant transboundary problems. Benin and Togo are characterized by fairly similar hydrogeological situations. The Benin-Togo coastal sedimentary basin, defined from a geometric point of view, contains productive aquifer levels separated by aquiclude formations [3]. The hydrogeology of these coastal sedimentary aquifers has been studied for about thirty years [4]-[6].

Groundwater resources, primarily located in deep aquifers, are often relatively resistant to pollution. However, for deep aquifers with outcropping zones experiencing increasing population settlement, their vulnerability to pollution warrants careful consideration. This is the case for the deep aquifers of the coastal sedimentary basin of Benin and Togo (Kéta Basin), particularly the Upper Cretaceous aquifer. This aquifer is the deepest (oldest) and outcrops in the northern part of the basin, specifically on the northern plateaus, thus exposing it to pollution. The work of [3] and [7], addressing the piezometrics of the Turonian-Coniacian aquifer, shows that its recharge zone is located north of the northern plateaus of the Benin-Togo Sedimentary Basin, where it outcrops.

The following questions urgently need to be addressed:

1) Is the water in the wells drawn from these outcrop zones contaminated or polluted?

2) Are there any connections between surface water and the Turonian-Coniacian reservoir?

3) How can we assess the risk of contamination of this deep groundwater, which is exposed at the surface in some areas?

Hydrogeochemistry is an important discipline in the work of hydrogeologists. The concentrations of chemical compounds present in water depend on the water’s origin, the geological formations it has passed through, and the time it has spent in these formations. Groundwater mineralization has been extensively studied [7]-[12].

The overall objective of this work is to evaluate the geochemical functioning of Turonian-Coniacian aquifers. Specifically, it aims to assess the aquifer’s vulnerability to contamination; to determine the mineralization process of Turonian-Coniacian groundwater in the coastal sedimentary basin of Benin-Togo; and to understand the dynamics of surface water-groundwater exchange for integrated water resource management.

2. Study Area

The coastal sedimentary basin occupies the southern tip of both countries, with the Mono River marking the border. Known in Togo as the Togolese Coastal Sedimentary Basin, it covers an area of approximately 3300 km2, representing 6% of the national territory. In Benin, it is known as the Beninese Coastal Sedimentary Basin and covers an area of approximately 11,476 km2, representing 10% of the national territory [13]. The Benin-Togo Coastal Sedimentary Basin (BSCB-T) covers a total area of approximately 14,776 km2 and is bounded to the north by outcrops of its bedrock (Pan-African crystalline basement) and extends southward into the offshore portion under the Atlantic Ocean, widening from west to east, from the border between Ghana and Togo to that between Benin and Nigeria.

The Turonian-Coniacian aquifer, which is the subject of our study, outcrops in the north of the Benin-Togo Coastal Sedimentary Basin on the four northern plateaus of Benin (Kétou, Zagnanado, Abomey, and Aplahoué) and the three of Togo (Kouvé, Tchévié, and Fogbé) [3]. The region, subject to a sub-equatorial climate, is characterized by two distinct rainy seasons linked to the movement of the Intertropical Convergence Zone (a longer rainy season from mid-March to July and a shorter rainy season from mid-September to November) and two dry seasons from August to mid-September and from December to mid-March, respectively.

Geomorphologically, the coastal sedimentary basin of Benin-Togo is organized, on either side of the NNE-SSW-oriented Lama depression, into a series of sloping plateaus dissected by river valleys. This basin is drained by the main rivers: the Zio, Haho, Mono, Couffo, Zou, and Ouémé. From a geological perspective, the Keta Basin, spanning the Benin-Togo region, comprises sedimentary formations (sands, gravels, sandy clays, clays, marls, and limestones) ranging from the Cretaceous to the Quaternary periods. These formations exhibit a monoclinal structure characterized by differential subsidence, increasing towards the SSE [14].

The sedimentary aquifers of the coastal basin (Keta Basin) are multilayered aquifers, generally exhibiting high productivity. The Coastal Sedimentary Basin comprises four aquifer units separated by thick aquicludes of low permeability. These aquifers range from the youngest to the oldest: the Quaternary sand aquifer, the Mio-Pliocene sand aquifer, the Paleocene limestone aquifer, and the Upper Cretaceous (Turonian-Coniacian) sand aquifer. The Quaternary and Mio-Pliocene aquifers are shallow and can be accessed with large-diameter wells. The Paleocene and Cretaceous aquifers are deep, but the Cretaceous aquifer is unique in that it outcrops in the northern part of the coastal basin, from where it is recharged.

Figure 1. Location of the study area showing sampling points (first campaign March 2023) and hydrogeological information (modified from GIZ, 2012).

3. Materials and Methods

3.1. Sampling and Measurements

To assess the water quality of the studied reservoir, surface water samples (from rivers) and groundwater samples (from hand-dug wells, boreholes, and a spring) were collected. Initially, using the Integrated Database (IDB) of boreholes in Benin, we ensured that only boreholes and hand-dug wells tapping the Turonian-Coniacian aquifer were selected for sampling. It is important to remember that the reservoir studied in this research is the deepest and oldest in the Benin-Togo Coastal Sedimentary Basin [14] [15]. It is very deep and very difficult to access in the southern part of the Basin but outcrops in the north [3] [7], which reassured us regarding the use of the Integrated Borehole Database. A total of two field campaigns were conducted. For the first campaign, seventy-four (74) samples were collected (19 in Togo and 55 in Benin). Water from boreholes and wells tapping the Turonian-Coniacian aquifer and seven (7) surface water samples (March 2023: low water) were collected (Figure 1). During the second sampling campaign, which took place in July 2023 (high water), the number of samples collected was reduced due to the inaccessibility of some sites during the flood season. This limited us to a total of fifty-six (56) samples (14 in Togo and 42 in Benin). Our seasonal comparative study was conducted at these 56 sampling points during the flood season, which were also sampled during the first campaign. It should be noted that before any sampling, the boreholes were purged to obtain a representative sample of the groundwater [7]. We allowed the borehole water to drain for a few minutes. For the first campaign at the end of the dry season, for each sampling point For the water samples, we collected them in 1 L polyethylene bottles, which were transported in ice-filled coolers to the Waste Management, Treatment, and Recovery Laboratory at the Faculty of Sciences, University of Lomé, Togo (for water samples collected in Togo) and to the Applied Hydrology Laboratory (LHA) at the National Water Institute of the University of Abomey-Calavi, Benin (for water samples collected in Benin) for analysis. For the second campaign during the rainy season, samples from each water point were collected in 1 L polyethylene bottles for analysis in Togo. Those collected in Benin were stored in 350 mL bottles for transport to the Geology Department of the Faculty of Sciences and Techniques at Cheikh Anta Diop University in Dakar, Senegal, for analysis. Figure 2 below shows the spatial distribution of the sampled points for the second campaign.

Figure 2. Spatial distribution showing the sampling points for the second campaign July 2023.

3.2. Data Analysis and Processing Methods

3.2.1. Methods

Physicochemical parameters such as electrical conductivity, TDS, and temperature were measured in situ during the field campaigns. Chemical elements such as Na+, Ca2+, Mg2+, K+, Cl, SO 4 2 , NO 3 , and HCO 3 were analyzed at the Applied Hydrology Laboratory of the University of Abomey-Calavi, Benin, during the first field campaign. Analysis was performed using DIONEX ICS1000 ion chromatography equipped with the IonPac CS12A analytical column for cations, using methanesulfonic acid as the eluent, and the IonPac AS14A-7 μm analytical column for anions. The overall limit of detection for ions was 0.04 mg/L. This same method was used in Senegal for the major element analyses conducted there. In Togo, samples were analyzed by atomic absorption spectrophotometry (thermo-electron spectroscopy) coupled to a VP100 hydride generator. The ionic balance of all samples ranged from −5% to +5%.

The analysis data for the groundwater samples studied for the two seasons are presented in Table S1 for the dry season and Table S2 for the rainy season, respectively (Data available in the attached file).

3.2.2. Data Processing

Hydrochemical data were used to determine water types using the Piper diagram generated with Grapher 15. To support the Piper diagram results, a hypothetical salt combination was used to estimate different assemblages. Hierarchical cluster analysis (HCA) was used to examine any similarities in chemical composition between river and groundwater. Cluster analysis has already proven effective in identifying waters with similar and different chemical compositions ([16]-[18], cited in [19]). This approach is based on Ward’s coupling method (Ward 1963) with squared Euclidean distances as a measure of similarity between samples [19]-[22]. The R statistical package version 4.3.2 (October 31, 2023) was used for the statistical analyses.

4. Results and Discussions

4.1. Physico-Chemical Parameters

The parameters directly measured on site, namely electrical conductivity (EC), pH, water temperature (T˚C), and major element concentrations measured during the dry and rainy seasons, are recorded in Table S1 and Table S2 respectively (available in the attached document). The pH varies between 5.08 and 7.71 throughout the year, with an average value of 6.34, indicating that the deep Turonian-Coniacian groundwater is acidic. Surface water temperature during the dry season varies between 30˚C and 35˚C, with an average of 31.45˚C, while during the rainy season it varies between 28˚C and 35˚C, with an average of 30.35˚C. Groundwater temperature during the dry season ranges from 17˚C to 42˚C, with an average of 30.5˚C (Table S1, available in the attached document) while during the rainy season it varies between 28˚C and 41˚C with an average of 30.75˚C. These values are close to the average atmospheric temperature in southern Benin (28˚C) and indicate a thermal equilibrium between groundwater, surface water, and the atmosphere.

In water samples taken during periods of low water (in both Benin and Togo), electrical conductivity varies between 8 and 1770 µS/cm, with an average of 256.19 µS/cm. During the rainy season, it varies between 11 and 2740 µS/cm, with an average of 289.82 µS/cm. Electrical conductivity is higher during the rainy season than during the dry season (Table S1 and Table S2 in the attached document).

The waters of the Turonian-Coniacian aquifer are found to be weakly mineralized (Table S1 and Table S2 in the attached document). This reservoir contains detrital deposits (gravel, sand, sandstone).

4.2. Hydrochemical Types

(a)

(b)

Figure 3. Diagramm of piper.

Projecting the chemical analysis results onto the Piper diagram clearly shows little variation in water chemistry in both Benin and Togo. In the Benin sedimentary basin, three facies are generally represented, with a predominance of the bicarbonate type (86% CaHCO3 and 8% MgHCO3) during the dry season and the chloride type (66.8% CaClNO3 and 30.8% NaCl) during the rainy season (Figure 3(a) and Figure 3(b)). In Togo, four facies are represented, with a predominance of the sodium chloride type (61.11%) during the dry season and the bicarbonate type (38.89% CaHCO3 and 27.78%) during the rainy season (Figure 3(a) and Figure 3(b)). Of the 56 sites where water samples were collected during the dry and rainy seasons, the main hydrochemical characteristics are, in order, CaCO3, NaKCO3, MgCO3, NaKCl, and CaMgClNO3 (dry season) and CaMgClNO3, NaKCl, NaKCl, and MgClNO3 (rainy season). Borehole and river water samples taken in Benin, which exhibit a bicarbonate facies (dry season), shift towards a chloride facies (rainy season). This phenomenon is called dissolution-concentration. 97.41% of the sampled water sources drawing from the Turonian-Coniacian aquifer undergo this process. The opposite effect occurs for water samples taken in Togo. Chloride facies (dry season) change to bicarbonate facies (rainy season), while bicarbonate facies during periods of low water retain their characteristics during the rainy season. We can observe lateral facies variation within the Turonian-Coniacian reservoir extending from Benin to Togo. Thus, the points representing groundwater and surface water are grouped together during the rainy season and similarly during the dry season (Figure 3(a) and Figure 3(b)). Hydraulic connectivity could be the underlying cause. Furthermore, certain cations, such as calcium, are converted to sodium, and vice versa, as is magnesium, which is converted to sodium or calcium. This demonstrates the phenomenon of cation exchange between the Turonian-Coniacian matrix and the resident water. The Haho River, for its part, transitions from a bicarbonate to a sulfate facies. This is due to water pollution from rice cultivation fertilizers observed in the field during the rainy season, mainly due to excess nitrogen and phosphorus.

(a)

(b)

Figure 4. Dendrogram based on hierarchical grouping (Ward’s method) in dry season (a) and rainy season (b).

For the dendrogram, all major elements were used to identify the different phenomena occurring in the reservoir and to study the similarity between surface water and groundwater. The 56 groundwater and surface water samples (considered for the seasonal comparison mentioned above) from both seasons were analyzed separately for the dendrogram. During the dry season, three groups, namely 1, 2, and 3, are observed on the dendrogram (Figure 4(a)). Group 1 comprises the groundwater samples with very high electrical conductivities (EC), i.e., EC > 500 µS/cm, and the highest concentrations of Cl, Na, HCO3, Ca, and NO3. These are the boreholes GEM-F4-T, GEM-F14-T, GEM-F8-T, GEM-F1-T and the wells GEM-P2-T, GEM-P3-T, GEM-P6-T. These are structures located in urban areas and not well maintained according to our observations on the sites and located totally north of the Fogbé plateau in the outcropping part of the studied aquifer. These varying concentrations of Cl, Na, CE, and especially NO3 (strictly above 50 mg/L according to WHO, 1993) indicate anthropogenic input, as determined from the Piper diagram. Groups 2 and 3 contain a set of surface and groundwater samples showing similarity in the analyzed parameters (Figure 4(a)), with EC below 100 and between 100 and 500 µS/cm. These waters are of the calcium bicarbonate type. Next, three groups are observed based on the rainy season dendrogram (Figure 4(b)). However, Group 1 comprises all surface and groundwater samples with the same similarity in analyzed parameters observed in the dry season for Groups 2 and 3, and with the same variation in electrical conductivity observed previously. These waters undergo dissolution, changing from calcium carbonate to calcium chloride and sodium chloride. This indicates an interconnection between surface water and groundwater [7] [17] [19] [23]-[25]. Group 2 comprises water samples with Electrical Conductivities (EC) greater than 500 µS/cm, corresponding to Group 1 of the dry season. Group 3 includes only groundwater samples with very high Electrical Conductivities (EC) (i.e., EC > 500 µS/cm) and the highest concentrations of Cl, Na, HCO3, Ca, and NO3, corresponding to Group 1 of the rainy season.

4.3. Correlations between Chemical Elements

The study of binary correlations allowed us to determine the geological and anthropogenic origin of the chemical elements based on the degree of correlation between them. The binary correlations between the parameters support and confirm the principal component analysis (PCA) to explain the acquisition process of each ion.

The dissolution phenomenon observed on the Piper diagram led us to extend our analysis to determine the origin of the transformations of chloride and bicarbonate ions in Benin and Togo, respectively, during the rainy season. Based on the hypothesis that the sudden appearance of chloride ions is linked to the dilution of salt from sea spray, we used physicochemical analysis data from seawater samples used in the doctoral research for the coastal sedimentary basin and the same parameters from rainwater collected at the Bohicon meteorological station (the station covering our study area) to verify the feasibility of this hypothesis (Figure 5). All samples showed a chloride concentration lower than that of rainwater. We therefore concluded that the chlorides could not have originated from sea spray, either in Benin or Togo. We then verified the anthropogenic origin using Figure 6(a) and Figure 6(b). These graphs illustrate the evolution of chloride concentration as a function of nitrate ion concentration in Benin and Togo, respectively. The majority of samples initially showed a zero nitrate concentration, while chloride concentrations increased. Only seven samples showed a simultaneous increase in both nitrate and chloride concentrations. This is inevitably due to anthropogenic pollution. These samples came from wells GME-P5-T, GME-F14-T, GME-F4-T, and GME-P2-T in Togo, and from traditional wells GME-P9-B, GME-P7-B, and GME-P5-B in Benin. To more precisely identify the source of chlorides in Benin and bicarbonates in Togo during the rainy season, we created Figure 6(c) and Figure 6(d) after excluding wells with anthropogenic pollution in Benin and Togo, respectively. Figure 6(c) illustrates the evolution of chloride concentrations as a function of sodium content. A clustering of samples (groundwater and rivers) is observed along the dissolution line. This confirms the presence of the sodium chloride facies in the reservoir studied in Benin. The Na+ and Cl ions originate from the dissolution of halite. Therefore, a halite source exists in the Turonian-Coniacian reservoir of Benin, where halite dissolved during the rainy season.

Figure 6(d) illustrates the evolution of magnesium and calcium ion concentrations as a function of bicarbonate ion concentration. The grouping of samples (groundwater and rivers) along the dissolution line indicates the presence of carbonate rocks (limestone and dolomite) in the Turonian-Coniacian reservoir, which dissolved during the rainy season. The base exchange phenomenon that occurs in aquifers is illustrated by the relationship [(Ca2+ + Mg2+) – ( HCO 3 + SO 4 2 )]/[(Na+ + K+) – Cl], as shown in Figure 6(e) and Figure 6(f). Subtracting the two parameters [(Ca2+ + Mg2+) – ( HCO 3 + SO 4 2 )] and [(Na2+ + K+) – Cl] eliminates ions that may originate from other reactions, such as the dissolution of carbonate minerals and evaporites. In the absence of these base exchange reactions, all sampling points should be located near the origin, in accordance with [26], as is the case for our water samples. The calcium deficit and sodium excess that characterize some sampling points during the rainy season are attributed to ion exchange mechanisms. This process has already been demonstrated in other aquifers [19] [22] [27]. During the rainy season, clays and sandstones can easily exchange their sodium and potassium ions for calcium and magnesium from the water.

Figure 5. Dilution-concentration graph showing the probable contribution of chlorides from seawater

Three phenomena govern the acquisition of minerals by groundwater. The first is the Dissolution/Concentration phenomenon observed during the rainy season, which transforms all bicarbonate ions into chloride ions in Benin and chloride ions into bicarbonates in the Turonian-Coniacian reservoir. The second mechanism is the impact of human activities. Human waste reaches the deep reservoir through direct infiltration because this aquifer is unconfined in these sampling areas (Dogbo-honto, Zounkpa Centre, Sinwé Gbodjèmè, Have, Kodzo, Ledicopé). The subsequent mechanism of ionic base exchange involves a decrease or elimination of the concentration of certain cations (Ca2+, Mg2+) to make way for new cations (Na+, K+). All three of these observed mechanisms occur simultaneously in surface and groundwater, highlighting the interconnectivity between groundwater and surface water.

Hydrochemical types, dendrograms, and ionic combinations allowed us to determine the ionic compositions of the Turonian-Coniacian reservoir, their acquisition processes by the waters, and their interactions with the matrix.

Figure 6. (a)-(f) Correlations between chemical elements.

5. Conclusions

Our study was based on a hydrogeochemical approach to try to provide an understanding of the functioning of the Turonian Coniacian aquifer system captured for exploitation, more easily in the North of the Coastal Sedimentary Basin of Benin-Togo. The aim was to determine the hydrogeochemical type of the reservoir waters, to study the process of water mineralization, and to verify the possible existence of an interconnection between the reservoir and surface waters.

The geochemical parameters analyzed show significant variations over time for both groundwater and surface water. Groundwater and surface water exhibit similar hydrochemical facies during the rainy and dry seasons. The chemical compositions of the analyzed samples were plotted on the Piper diagram [28]. Projecting the results of the chemical analyses onto this diagram clearly shows a low variation in water chemistry, indicating very low mineralization and an average acidic pH. The waters of the Turonian-Coniacian stage exhibit lateral facies variation. In the Benin Sedimentary Basin, they are generally composed of three facies, with a predominance of the bicarbonate type (86% Ca-HCO3 and 8% Mg-HCO3) during the dry season and the chloride type (66.8% Ca-Cl-NO3 and 30.8% Na-Cl) during the rainy season. In Togo, four facies are represented, with a predominance of the sodium chloride type (61.11%) during the dry season and the bicarbonate type (38.89% Ca-HCO3 and 27.78%) during the rainy season. The facies changes observed between the dry and rainy seasons allowed us to identify three processes of mineral acquisition by Turonian-Coniacian waters: dissolution/concentration, the impact of human activities, and the base exchange mechanism. The HCA results initially confirm this mineral acquisition process and subsequently demonstrate a probable interconnection between surface and groundwater during the dry and rainy seasons. Combinations of different ions yielded the same results. Our work, through our various findings, confirms the work of our predecessors [5] [7] and can significantly contribute to the efficient management of surface water and the common reservoir waters of the Benin-Togo Coastal Sedimentary Basin. Nevertheless, they warrant further investigation through lithostratigraphy to identify evaporite and carbonate rocks in Benin and Togo. It will also be necessary to determine how the interconnection between Turonian and Coniacian surface waters is occurring. Once obtained, all these results can be confirmed by isotopic analysis.

Acknowledgements

This research was carried out as part of the Africa Water and Sanitation Excellence Center (C2EA) project funded by the World Bank, the French Development Agency (AFD), and the Beninese government.

Supplement Electronics Paper 2

Table S1. Physico-chemical analysis data from the first low water campaign.

Sample names

Label

CODE

Nature

Temperature

TDS

EC

pH

meq HCO3

meq SO4

meq Cl

meq NO3

meq Cl + NO3

meq Ca

meq Mg

meq K

meq Na

meq Na + K

Cations

Anions

Ionic balance

DEKANDJI BOHOUNGOHOUE

FA

GEM-F12-B

Borehole

29.8

4

0

6.2

0.85

0.02

0.29

0.12

0.41

0.51

0.53

0.06

0.3

0.36

1.41

1.28

4.9

AYEKOU ARAROMI

F

GEM-F23-B

Borehole

30

15

30

5.83

0.87

0

0.29

0

0.29

0.59

0.37

0

0.1

0.1

1.05

1.16

−4.87

OGBOLOUWA

F

GEM-F6-B

Borehole

17

28

34

5.81

0.67

0

0.28

0.05

0.33

0.52

0.54

0.01

0.05

0.06

1.11

1

4.92

DOKPA HLAVLAMEHOHE

F

GEM-F14-B

Borehole

31

17

34

5.98

0.47

0

0.24

0

0.24

0.39

0.32

0.01

0.06

0.07

0.79

0.71

4.95

IGBO EWE

F

GEM-F4-B

Borehole

28.4

18

36

5.66

0.66

0

0.22

0

0.22

0.57

0.32

0.01

0.05

0.06

0.95

0.88

4.11

HLAGBA-ZAKPO

F

GEM-F17-B

Borehole

30.3

18

37

6

0.67

0.03

0.34

0.06

0.4

0.52

0.43

0.05

0.19

0.24

1.19

1.11

3.67

AWODOKPODJI

Puits

GEM-P19-B

Well

30

21

42

5.98

0.8

0

0.36

0.01

0.38

0.64

0.57

0.02

0.04

0.06

1.28

1.17

4.35

HLAFANDJI

F

GEM-F34-B

Borehole

30

21

42

5.96

0.81

0

0.32

0.02

0.35

0.54

0.43

0

0.08

0.08

1.05

1.15

−4.81

Davou

F

GEM-F12-T

Borehole

73.3

43.8

5.37

0.28

0.21

0.17

0.04

0.21

0.05

0.04

0.02

0.58

0.6

0.7

0.7

0.04

GLANDJANGON

F

GEM-F29-B

Borehole

30

22

44

6.07

1.11

0

0.48

0

0.48

0.39

1.19

0.02

0.09

0.11

1.69

1.59

3.1

SAMIONTA FORAGE

FA

GEM-F32-B

Borehole

30

22

44

6.01

0.91

0.01

0.2

0.02

0.22

0.39

0.53

0.01

0.12

0.13

1.06

1.15

−3.97

AYIHOUGON

F

GEM-F27-B

Borehole

31

23

44

5.98

0.62

0

0.38

0.03

0.41

0.5

0.37

0.01

0.08

0.08

0.95

1.03

−4.26

AGONGBO

F

GEM-F26-B

Borehole

30

24

48

6

0.93

0

0.32

0.05

0.37

0.54

0.37

0.06

0.22

0.28

1.19

1.31

−4.91

HLAHONOU FA

FA

GEM-F16-B

Borehole

31

25

48

6.09

0.5

0.01

0.32

0.04

0.36

0.31

0.43

0.02

0.13

0.15

0.9

0.88

1.24

KOTOKPA

F

GEM-F19-B

Borehole

31

25

48

6.29

0.5

0.05

0.34

0.03

0.36

0.44

0.47

0.01

0.09

0.1

1

0.92

4.13

HEHOUNU

F

GEM-F10-B

Borehole

30

27

54

6

0.7

0

0.32

0.02

0.34

0.55

0.41

0.03

0.13

0.16

1.12

1.04

3.64

EDOUAGNON

F

GEM-F24-B

Borehole

29

28

56

5.6

0.78

0

0.46

0.03

0.49

0.58

0.37

0.01

0.22

0.22

1.17

1.27

−4.27

SAGON ILLAKA

F

GEM-F33-B

Borehole

33

28

58

5.78

0.5

0

0.26

0

0.26

0.32

0.29

0.01

0.09

0.09

0.7

0.76

−4.34

KPOHOUEGBEGON

F

GEM-F22-B

Borehole

30

30

60

5.95

0.9

0

0.44

0.03

0.47

0.64

0.53

0.02

0.1

0.11

1.28

1.37

−3.38

DJAYIDOSSOU

F

GEM-F35-B

Borehole

35

32

62

5.8

0.71

0

0.24

0

0.24

0.43

0.36

0

0.08

0.08

0.87

0.95

−4.56

RIVIERE ZAGBO

River

GEM-R3-B

River

30

32

64

6.72

0.72

0.01

0.24

0

0.24

0.54

0.27

0.04

0.2

0.23

1.04

0.98

2.77

ZOUKOU ALIKPA

F

GEM-F31-B

Borehole

30

32

64

6.08

0.58

0

0.19

0.11

0.29

0.14

0.68

0.02

0.11

0.13

0.95

0.88

4.13

TINDJI-HELOU KPEDJO

Puits

GEM-P1-B

Well

30

32

64

6.21

0.5

0

0.28

0

0.28

0.45

0.26

0.02

0.13

0.15

0.86

0.78

4.74

Lobokondji

F

GEM-F11-T

Borehole

111.5

65.6

5.63

0.29

0.04

0.13

0.06

0.19

0.09

0.22

0.02

0.2

0.23

0.53

0.53

0.09

AKANTE-ZOUNGO

F

GEM-F8-B

Borehole

35

31

66

5.86

0.69

0.14

0.34

0

0.34

0.61

0.54

0.01

0.13

0.13

1.28

1.17

4.42

Kpessécopé

F

GEM-F10-T

Borehole

110.7

66.6

5.23

0.34

0.17

0.21

0.05

0.26

0.04

0.03

0.02

0.68

0.7

0.77

0.77

0.04

OUNHI WOKON AYIHOUEDJI

FA

GEM-F9-B

Borehole

39.2

35

68

6

0.75

0.06

0.3

0

0.3

0.54

0.5

0.01

0.11

0.13

1.17

1.11

2.38

Houingbesso

F

GEM-F9-T

Borehole

120

70.6

5.6

0.64

0.06

0.38

0.2

0.58

0.08

0.09

0.02

1.09

1.11

1.28

1.28

0.04

AGRIMEY-KABOHOUE

F

GEM-F11-B

Borehole

29

41

82

6.08

0.85

0

0.26

0.07

0.34

0.49

0.53

0.05

0.22

0.28

1.3

1.19

4.62

OUINHI-ZOUNGUE

FA

GEM-F7-B

Borehole

42

41

84

5.86

0.71

0.03

0.24

0

0.24

0.45

0.49

0.03

0.09

0.11

1.06

0.98

3.75

Zio GAPEKPEDZI

River

GEM-R1-T

River

150.6

90

7.14

1.27

0.02

0.12

0

0.12

0.44

0.43

0.06

0.48

0.54

1.41

1.41

0.07

AGRIMEY KPASSASSA

F

GEM-F2-B

Borehole

31

45

91

6

0.74

0.08

0.36

0.03

0.39

0.55

0.47

0.04

0.21

0.25

1.27

1.21

2.29

EPP GBONOU

F

GEM-F1-B

Borehole

29

45

92

6.37

0.66

0.04

0.38

0.01

0.39

0.5

0.39

0.03

0.25

0.27

1.17

1.08

3.71

TINDJI ZOUGOUDO

Well

GEM-P6-B

Well

30

46

92

6.17

0.6

0.02

0.28

0.07

0.35

0.56

0.33

0.03

0.15

0.18

1.07

0.97

4.94

ADJIDO

Well

GEM-P17-B

Well

31

46

94

6.15

0.6

0.02

0.24

0.11

0.35

0.54

0.39

0.01

0.13

0.14

1.07

0.97

4.87

AIDJEDO KPOTO F2

F

GEM-F28-B

Borehole

32

50

100

6.16

1.07

0

0.26

0

0.26

0.36

0.72

0.01

0.13

0.14

1.21

1.33

−4.57

FLEUVE OUEME AHLAN

River

GEM-R1-B

Fleuve

33

52

102

6.71

0.82

0.02

0.28

0

0.28

0.25

0.66

0.05

0.27

0.32

1.22

1.12

4.4

AGBOZOUNDJI

Well

GME-P20-B

Well

30

56

110

6.53

0.77

0

0.26

0.04

0.3

0.54

0.43

0.02

0.17

0.19

1.16

1.07

4

Akoudokpo

Well

GEM-P1-T

Well

185

110

5.97

0.45

0.1

0.72

0.08

0.8

0.51

0.26

0.03

0.56

0.58

1.35

1.35

0.08

DAKOHOUE

Well

GEM-P18-B

Well

30.2

57

112

6.1

0.6

0

0.28

0.07

0.35

0.18

0.54

0.02

0.15

0.17

0.89

0.96

−4.02

GBOLI MIGNON HITO

Well

GME-P8-B

Well

30

58

118

6.3

0.99

0

0.36

0.09

0.45

0.57

0.54

0.02

0.17

0.19

1.3

1.43

−4.84

TANKPA TANKPA

Well

GME-P11-B

Well

30

60

122

6.27

0.91

0

0.28

0.05

0.33

0.5

0.5

0.03

0.18

0.21

1.21

1.24

−1.1

N'SSOUGANHOUE

F

GME-F3-B

Borehole

29.7

125

125

5.98

0.89

0

0.38

0.03

0.41

0.53

0.49

0.08

0.28

0.35

1.37

1.3

2.7

Kougnrowou copé

F

GEM-F13-T

Borehole

30.775

208

127

5.23

0.33

0.02

1.12

0.67

1.79

0.67

0.4

0.03

1.04

1.07

2.14

2.14

0.04

Anagali

F

GEM-F2-T

Borehole

224

131

6.03

0.49

0.35

0.75

0.02

0.77

0.61

0.36

0.05

0.6

0.65

1.62

1.62

0.03

FLEUVE MONO ATIEME

River

GME-R2-B

Fleuve

31.8

77

136

7.07

0.84

0.07

0.2

0

0.2

0.47

0.41

0.09

0.22

0.32

1.19

1.11

3.77

LAGBAKADA-MAKUI

Puits

GME-P2-B

Well

29.8

69

138

6.2

0.8

0

0.26

0.06

0.32

0.52

0.43

0.06

0.22

0.29

1.23

1.13

4.44

FLEUVE OUEME A AYOGO

River

GME-R6-B

River

35

72

146

6.98

0.87

0

0.37

0

0.37

0.53

0.52

0.03

0.22

0.24

1.29

1.24

2.04

KPODJI ZOUDJAME

F

GME-F30-B

Borehole

28.2

75

150

6.08

0.71

0

0.38

0.11

0.49

0.54

0.43

0.05

0.26

0.32

1.28

1.2

3.44

Tonakondji

Well

GEM-P4-T

Well

265

160

6

0.46

0.04

2.12

1.17

3.29

0.92

0.37

0.03

2.48

2.51

3.8

3.79

0.02

FLEUVE ZOU

River

GME-R5-B

River

33.6

82

162

7.02

1.01

0.02

0.36

0

0.36

0.51

0.72

0.05

0.19

0.23

1.47

1.39

2.59

GBOZOUME SOURCE BANAME

Source

GEM-S-B

Source

26

84

164

6.66

0.87

0.01

0.37

0

0.37

0.51

0.48

0.07

0.28

0.35

1.35

1.25

3.71

CENTRE DE SANTE HOUETAN

F

GEM-F20-B

Borehole

29

93

168

6.28

0.58

0.04

0.3

0.23

0.53

0.51

0.32

0.05

0.39

0.45

1.27

1.16

4.86

SOKEHOU SOKEHOUE PUITS

Well

GEM-P12-B

Well

36.2

84

168

6.22

1.19

0

0.36

0.14

0.5

0.57

0.68

0.05

0.22

0.27

1.53

1.69

−4.99

BABOHOUE PUITS

Well

GEM-P15-B

Well

29

88

174

6.11

0.81

0

0.38

0.21

0.59

0.76

0.39

0.05

0.25

0.3

1.45

1.39

2.1

LEGBAHOLI MIGNANHOUNGON

Well

GEM-P13-B

Well

30

99

192

6.3

0.91

0

0.38

0.42

0.79

0.48

1.06

0.05

0.21

0.26

1.79

1.7

2.64

KPOTO AIDJEDO voie

F

GEM-F21-B

Borehole

31

96

192

6.76

1.97

0.01

0.18

0

0.18

0.79

0.82

0.05

0.36

0.41

2.03

2.17

−3.25

USP Assomé

F

GEM-F6-T

Borehole

357

205

5.96

1.75

0.06

1.09

1.47

2.56

1.42

0.42

0.03

2.5

2.53

4.37

4.36

0.06

FLEUVE COUFFO

River

GEM-R4-B

River

30

106

212

0.81

0.06

0.34

0.01

0.35

0.58

0.45

0.07

0.19

0.25

1.28

1.22

2.57

LOKOSSOUHOUE PUITS

Well

GEM-P16-B

Well

29

106

214

6.19

0.89

0

0.34

0.3

0.63

0.58

0.71

0.07

0.33

0.39

1.68

1.52

4.93

LAINTA ADJA HOUEKO

F

GEM-F15-B

Borehole

29

106

214

6.11

0.8

0.01

0.32

0.14

0.46

0.51

0.51

0.07

0.3

0.38

1.39

1.28

4.18

ZOUNKPA CENTRE PUITS

Well

GEM-P9-B

Well

30

128

250

5.23

0.96

0

1.04

0.42

1.47

1.11

0.65

0.1

0.37

0.47

2.22

2.42

−4.37

KPODJI CENTREPUITS

Well

GEM-P3-B

Well

30.8

129

258

6.58

0.8

0.01

0.39

0

0.39

0.55

0.43

0.08

0.22

0.3

1.27

1.19

3.34

KEMODJI YAGBE

Well

GEM-P14-B

Well

30

132

264

6.87

0.7

0

0.34

0.1

0.44

0.54

0.48

0.06

0.18

0.24

1.26

1.15

4.58

TOHOUEHOUE

Well

GEM-P4-B

Well

29

140

286

6.74

0.84

0.03

0.28

0.13

0.41

0.51

0.51

0.08

0.27

0.35

1.37

1.28

3.53

Fleuve HAHO à Gati

River

GEM-R2-T

Borehole

559

326

7.66

3.78

0.1

1.86

0.16

2.02

1.37

2.58

0.43

1.53

1.96

5.91

5.9

0.03

Kpédévi kopé (musulman don)

F

GEM-F3-T

Borehole

568

333

6.24

2.76

0.92

1.55

0.06

1.61

1.22

2.23

0.04

1.79

1.84

5.29

5.29

0.02

ISSABA GBAGUI

F

GEM-F5-B

Borehole

28.4

186

376

7.34

0.82

0.13

0.22

0.08

0.3

0.4

0.66

0.08

0.22

0.29

1.35

1.25

4.12

SINWE GBODJEME

Well

GEM-P7-B

Well

30

195

390

6.18

3.48

0

0.52

0.7

1.22

3.64

0.04

0.15

0.64

0.79

4.47

4.7

−2.51

GNONGBE PUITS

Well

GEM-P10-B

Well

29.2

204

408

6.08

0.75

0

1

0.06

1.06

0.76

0.93

0.06

0.22

0.28

1.97

1.82

4.06

Yobo

Well

GEM-P6-T

Well

652

421

6.61

2.65

1.13

3.88

1.35

5.23

1.89

3.93

1.16

2.03

3.19

9.01

9.01

0.02

Kpédévi kopé (DGEA)

F

GEM-F7-T

Borehole

850

503

7.11

5.54

0.21

1.99

0.07

2.06

3.69

2.22

0.37

1.53

1.91

7.82

7.81

0.05

Essè Zogbedji

F

GEM-F1-T

Borehole

1320

744

6.74

4.77

1.1

2.49

2.46

4.95

2.57

5.17

0.05

3.04

3.1

10.83

10.83

0.03

Essé Nadjè

F

GEM-F8-T

Borehole

1292

780

6.57

3.22

1.25

3.4

2.26

5.67

1.65

4.53

0.71

3.25

3.96

10.14

10.14

0.02

DOGBO-HONTO

Well

GEM-P5-B

Well

29.8

460

940

6.83

0.6

0.18

1.06

0.65

1.71

1.25

0.92

0.11

0.33

0.44

2.61

2.5

2.26

Lédicopé

Well

GEM-P5-T

Well

1403

940

4.87

0.65

0.04

3.43

4.12

7.54

2.68

2.85

0.07

2.65

2.71

8.24

8.24

0.03

Havé puits 2

Well

GEM-P3-T

Well

2060

1310

6.96

5.24

2.25

1.9

3.13

5.04

3.23

5.56

0.89

2.86

3.74

12.53

12.53

0.02

Havé

F

GEM-F14-T

Borehole

2010

1330

6.34

2.3

3.13

4.08

5.34

9.41

4.26

5.71

0.96

3.91

4.87

14.84

14.83

0.03

TOCHIKEMEY

F

GEM-F18-B

Borehole

28

712

1424

7.22

0.81

0.04

0.67

0.16

0.83

0.42

1.03

0.12

0.28

0.4

1.85

1.67

4.93

Kodzo

F

GEM-F4-T

Borehole

2710

1720

6.5

4.22

4.5

4.97

1.04

6.01

5.07

5.64

0.71

3.32

4.03

14.74

14.73

0.03

Havé puits

Well

GEM-P2-T

Well

2740

1770

6.94

5.78

2.04

1.54

2.7

4.24

3.88

4.08

0.6

3.5

4.11

12.07

12.06

0.03

Table S2. Physico-chemical analysis data from the second campaign, July 2023.

Sample names

Nature

CODE

Temperature

TDS

EC

pH

meq HCO3

meq SO4

meq Cl

meq NO3

meq Cl + NO3

meq Ca

meq Mg

meq K

meq Na

meq Na + K

Cations

Anions

ionic balance

FLEUVE OUEME AHLAN

River

GME-R1-B

28.4

35

11

6.83

0.06

0.04

1.03

0.02

1.05

0.5

0.09

0.01

0.1

0.11

0.7

1.15

−24.55

OGBOOLUWA

Borehole

GME-F6-B

29.9

12

23

5.58

0.06

0.02

0.26

0.04

0.29

0.08

0.06

0.01

0.12

0.13

0.27

0.37

−16.13

ARAROMI

Borehole

GME-F23-B

29.3

13

27

6.08

0.06

0.03

0.26

0.05

0.31

0.08

0.12

0.01

0.08

0.09

0.29

0.4

−16.07

DOKPA HLAVLAMEHOUE

Borehole

GME-F14-B

30.4

15

30

6.01

0.07

0.02

0.17

0.06

0.23

0.11

0.09

0.01

0.08

0.09

0.29

0.32

−4.8

SAMIONTA

Borehole

GME-F32-B

31

17

34

5.4

0.07

0.03

0.34

0.07

0.42

0.21

0.12

0.01

0.08

0.09

0.42

0.52

−10.39

HLA FANDJI

Borehole

GME-F34-B

30.5

17

35

5.8

0.07

0.03

0.34

0.06

0.4

0.11

0.13

0.01

0.13

0.14

0.38

0.5

−13.57

AWOLOKPODJI

Well

GME-P19-B

30.3

18

37

6.72

0.09

0.03

0.34

0.05

0.4

0.18

0.13

0.01

0.09

0.09

0.4

0.52

−12.43

EGBO EWE

Borehole

GME-F4-B

29.7

19

38

6.63

0.07

0.13

0.34

0.03

0.37

0.2

0.13

0.01

0.1

0.11

0.45

0.57

−12.48

AGONGBO

Borehole

GME-F26-B

30

20

40

5.57

0.08

0.02

0.34

0.14

0.48

0.27

0.08

0.01

0.1

0.11

0.46

0.59

−12.63

OUINHI-ZOUNGUE

Borehole

GME-F7-B

41

25

41

7.15

0.08

0.09

0.52

0.02

0.54

0.16

0.24

0.01

0.1

0.11

0.51

0.71

−16.82

HLAHONOU

Borehole

GME-F16-B

31

21

42

5.08

0.08

0.03

0.17

0.18

0.35

0.19

0.13

0.01

0.09

0.1

0.42

0.47

−5.11

ZAGBO

River

GME-R3-B

28.6

23

46

6.19

0.1

0.03

0.52

0.04

0.56

0.2

0.19

0.01

0.11

0.12

0.5

0.68

−15.13

KPOHOUEGBEGON

Borehole

GME-F22-B

36

23

47

5.14

0.09

0.03

0.34

0.14

0.48

0.2

0.18

0.01

0.1

0.11

0.49

0.6

−10.08

TINDJI HELOU KPEDJO

Well

GME-P1-B

30.4

25

50

5.82

0.08

0.03

0.34

0.16

0.5

0.22

0.13

0.01

0.19

0.2

0.55

0.61

−5.23

EDOUAGNON (K.Ville)

Borehole

GME-F24-B

34

25

50

5.44

0.06

0.06

0.34

0.17

0.51

0.22

0.11

0.01

0.18

0.19

0.52

0.63

−10.02

ZOUKOU ALIKPA

Borehole

GME-F31-B

30.6

24

51

5.43

0.09

0.05

0.34

0.18

0.52

0.28

0.17

0.01

0.1

0.1

0.55

0.66

−8.97

Houingbesso

Borehole

GME-F9-T

42.6

65.5

5.7

0.36

0.06

0.73

0.1

0.83

0.45

0.14

0.03

0.63

0.65

1.25

1.25

0

TINDJI ZOUNGOUDO

Well

GME-P6-B

29.4

33

66

7.19

0.11

0.04

0.52

0.23

0.74

0.27

0.25

0.01

0.18

0.19

0.71

0.9

−11.82

HLAGBA-ZAKPO

Borehole

GME-F17-B

31.5

33

66

5.87

0.12

0.13

0.52

0.2

0.71

0.29

0.23

0.02

0.27

0.29

0.81

0.96

−8.75

GBOLI-MIGNONHITO

Well

GME-P8-B

31.6

35

71

6.29

0.14

0.03

0.52

0.18

0.7

0.26

0.21

0.02

0.22

0.24

0.71

0.88

−10.35

LoBokondji

Borehole

GME-F11-T

46.6

71.1

5.78

0.41

0.06

0.65

0.13

0.78

0.48

0.19

0.03

0.55

0.58

1.25

1.25

0.04

Zio à GAPEKPEDZI

River

GME-R1-T

47

72.3

7.07

0.96

0.23

0.3

0.03

0.33

0.69

0.43

0.04

0.36

0.4

1.52

1.52

0.04

Davou

Borehole

GME-F12-T

43.8

73.3

5.37

0.28

0.21

0.17

0.04

0.21

0.05

0.04

0.02

0.58

0.6

0.7

0.7

0.04

TANKPA

Puits

GME-P11-B

30

37

75

6.63

0.12

0.09

0.52

0.15

0.67

0.28

0.2

0.02

0.2

0.23

0.7

0.88

−10.98

DAKOHOUE

Puits

GME-P18-B

32.4

38

76

6.71

0.14

0.03

0.69

0.16

0.85

0.35

0.22

0.02

0.2

0.21

0.79

1.02

−12.87

DEKANDJI

Borehole

GME-F12-B

29.5

90

90

5.98

0.16

0.11

0.52

0.21

0.73

0.42

0.28

0.01

0.18

0.19

0.88

1

−6.07

LAINTA ADJA HOUEKO

Borehole

GME-F15-B

31

45

91

6.31

0.14

0.04

0.52

0.51

1.02

0.38

0.37

0.02

0.21

0.22

0.98

1.21

−10.4

HAHO à Gati

River

GME-R2-T

60.2

91.8

7.1

0.56

0.77

0.78

0.11

0.9

0.68

0.64

0.06

0.85

0.91

2.23

2.23

0

FLEUVE ZOU

River

GME-R5-B

29.5

50

100

6.11

0.12

0.05

1.55

0.03

1.58

0.61

0.17

0.01

0.19

0.2

0.98

1.74

−27.95

TCHIDEHOU SOKEHOUE

Puits

GME-P12-B

31

52

105

6.23

0.26

0.03

0.69

0.46

1.15

0.41

0.35

0.04

0.49

0.53

1.29

1.43

−5.06

FLEUVE MONO

River

GME-R2-B

28.6

109

109

7.11

0.1

0.06

1.55

0.02

1.57

0.54

0.31

0.02

0.18

0.19

1.04

1.74

−24.96

Kpessécopé

Borehole

GME-F10-T

30.98

66.6

110.7

5.23

0.34

0.17

0.21

0.05

0.26

0.04

0.03

0.02

0.68

0.7

0.77

0.77

0.04

Anagali

Borehole

GME-F2-T

76.3

118.3

6.12

0.56

0.31

0.38

0.13

0.5

0.63

0.32

0.04

0.39

0.43

1.38

1.38

0.01

S. GBATEZOUME

Spring

GME-SB

28

56

120

7.19

0.24

0.03

1.2

0.02

1.22

0.38

0.39

0.02

0.26

0.27

1.05

1.49

−17.53

BABOHOUE

Well

GME-P15-B

29.4

70

140

5.62

0.36

0.03

0.69

0.4

1.09

0.47

0.33

0.05

0.51

0.57

1.37

1.48

−3.85

CS HOUETAN

Borehole

GME-F20-B

29.4

70

140

6.2

0.21

0.06

1.2

0.42

1.63

0.55

0.53

0.02

0.31

0.33

1.41

1.89

−14.69

Kougnonrou copé

Borehole

GME-F13-T

96.3

144.7

5.45

0.32

0.04

1.13

0.19

1.33

0.44

0.47

0.01

0.77

0.78

1.69

1.69

0

FLEUVE OUEME AYOGO

River

GME-R6-B

35

72

146

6.11

0.09

0.04

1.03

0.02

1.05

0.39

0.18

0.02

0.18

0.2

0.78

1.18

−20.55

KEMONDJI YAGBE

Well

GME-P14-B

29.6

84

169

6.31

0.5

0.13

1.55

0.22

1.77

0.66

0.44

0.07

0.86

0.93

2.02

2.4

−8.48

FLEUVE COUFFO

River

GME-R4-B

29

86

172

7.57

0.14

0.07

2.93

0.02

2.95

1.03

0.59

0.05

0.31

0.37

1.99

3.15

−22.63

Tonakondji

Well

GME-P4-T

117

173.5

6.27

0.35

0

0.93

0.12

1.05

0.73

0.34

0.03

0.3

0.32

1.4

1.4

0.07

USP Assomé

Borehole

GME-F6-T

115

176.4

6

0.33

0.08

1.46

0.61

2.07

1.64

0.41

0.05

0.39

0.44

2.49

2.49

0.06

KPOTO AIDJEDO

Borehole

GME-F21-B

31.5

91

182

6.76

0.07

0.12

2.75

0.05

2.8

0.67

0.49

0.04

0.59

0.63

1.79

2.99

−25.09

Akoudokpo

Well

GME-P1-T

110

185

5.97

0.45

0.1

0.72

0.08

0.8

0.51

0.26

0.03

0.56

0.58

1.35

1.35

0.08

AGRIMEY KPASSASSA

Borehole

GME-F2-B

30

106

212

6.18

0.46

0.42

1.38

0.37

1.75

0.9

0.53

0.06

0.79

0.85

2.29

2.63

−6.88

LOKOSSOUHOUE

Well

GME-P-B

29

106

214

6.58

0.34

0.05

1.2

0.48

1.69

0.8

0.56

0.03

0.4

0.43

1.79

2.07

−7.45

ZOUNKPA CENTRE

Well

GME-P9-B

30.3

145

291

6.48

0.36

0.15

1.89

1.13

3.02

1

1.08

0.05

0.75

0.8

2.88

3.53

−10.04

GNONGBE

Well

GME-P10-B

31.2

168

336

6.59

1.74

0.08

1.2

0.17

1.38

1.44

1.06

0.08

1.31

1.39

3.88

3.2

9.59

SINWE GBODJEME

Well

GME-P7-B

32

185

371

6.04

0.71

0.11

1.55

2.28

3.83

1.82

1.27

0.09

1.27

1.36

4.44

4.65

−2.28

Kpédévi copé (DGEA)

Borehole

GME-F7-T

303

449

7.2

5.05

0.27

1.65

0.34

1.99

5.34

1.09

0.05

0.85

0.9

7.32

7.31

0.07

DOGBO HONTO

Well

GME-P5-B

29.5

698

698

6.35

1.17

0.89

5.16

1.53

6.69

2.22

3.18

0.1

1.72

1.82

7.23

8.75

−9.53

Yobo

Well

GME-P6-T

525

758

6.8

2.97

1.52

0.6

1.46

2.06

3.38

1.76

1.31

0.11

1.42

6.56

6.55

0.08

Essé Nadjè

Borehole

GME-F8-T

527

781

6.72

2.77

1.44

0.58

1.26

1.84

2.98

1.62

1.34

0.12

1.46

6.06

6.05

0.08

Lédicopé

Well

GME-P5-T

727

1055

5.36

0.48

0.04

1.97

4.5

6.47

4.36

2.16

0.02

0.46

0.48

7

6.99

0.06

Havé

Borehole

GME-F14-T

937

1340

6.42

2.53

3.17

1.42

3.18

4.6

6.79

2.55

0.29

0.66

0.95

10.3

10.29

0.03

Kodzo

Borehole

GME-F4-T

1.01

1445

6.71

3.94

3.25

2.52

3.06

5.58

9.48

2.58

0.06

0.67

0.73

12.79

12.77

0.07

Havé puits

Well

GME-P2-T

1770

2740

6.94

5.78

2.04

1.54

2.7

4.24

3.88

4.08

0.6

3.5

4.11

12.07

12.06

0.03

Conflicts of Interest

The authors declare that there is no conflict of interest.

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