Research Journal of Applied Sciences, Engineering and Technology 3(7): 617-624, 2011 ISSN: 2040-7467 © Maxwell Scientific Organization, 2011 Received: April 21, 2011 Accepted: June 10, 2011 Published: July 25, 2011 Assessing Factors Controlling the Hydrochemistry and Suitability for Irrigation Purposes of Aquifer AQ-2 in Pointe-Noire, South-West Congo-Brazzaville 1 C. Tathy, 2L. Matini, 1G. Moukandi Nkaya and 1B. Mabiala 1 Equipe de Recherche en Matériaux et Ecoulements en Milieux Poreux, ENSP, U.M.NG., B.P 69 Brazzaville, Congo 2 Laboratoire de Chimie Minérale et Appliquée, Faculté des Sciences, U.M.NG. B.P 69 Brazzaville, Congo Abstract: The groundwater of AQ-2 in Pointe-Noire (south-west town of Congo-Brazzaville) was assessed for factors controlling the hydrochemistry and its irrigation suitability. Thirty three groundwater samples collected from 11 piezometers were analyzed for physical parameters such as: pH, temperature (T), Total Dissolved Solids (TDS); major cations: Ca2+, Mg2+, Na+, K+ and anions ClG , SO42G , HCO3G. Factor analysis revealed four factors associated with the mineralization, alkalinity, temperature and pH of the groundwater. Some indexes which can influence the groundwater quality for irrigation were determined: Sodium Adsorption Ratio (SAR), percent of sodium (%Na), Residual Sodium Carbonate (RSC), Permeability Index (PI) and Potential Salinity (PS). These indexes for water irrigation were compared with standard limits. They have been found within the safe limit suitable for irrigation. The total dissolved solids in the groundwater were lower than 1500 mg/L, this denotes that irrigation using groundwater of aquifer AQ-2 in Pointe-Noire would not cause salinity hazards. Key words: Factor analysis, groundwater, irrigation water, Pointe-Noire for agricultural purposes is revealed from groundwater chemistry (Mridha et al., 1996; Obiefuna and Sheriff, 2011). Irrigation water criteria take in account some variables such Sodium Adsorption Ratio (SAR), Total Dissolved Solids (TDS), Percentage of Sodium (%Na), Residual Sodium Carbonate (RSC), Permeability Index (PI) and Potential Salinity (PS). In a precedent study (Tathy et al., 2010), we have shown the drinking suitability of AQ-2 water. The aim of this one is to determine the controlling factors of the hydrochemistry of groundwater of aquifer AQ-2 in Pointe-Noire and its suitability for irrigation purposes. INTRODUCTION In term of development, the quality of water is an important factor as well in the use of groundwater like resources. Different quality problems characterize the groundwater (Gupta et al., 2004). Heavy metals, nitrates and fluoride in groundwater, to quote only the substances that can behave as hazardous pollutants and pollute it (Sharma et al., 2005). The quality requirement of groundwater depends upon its different uses like drinking, industrial and irrigation uses. The chemical quality of the groundwater is indispensable as a factor which enables its utilization for the different uses quoted above. Therefore chemical, physical and bacteriological parameters related to the quality criteria must be determined. In developing countries, overexploitation is a serious problem for the quality of groundwater in urban area, due to hightly dense population. This is the case of aquifer AQ-2 in PointeNoire (South West of Congo-Brazzaville). More than 500,000 people depend upon groundwater for their drinking water and other uses. Irrigation of agricultural lands accounted for 70% of the water used in the worldwide (Vineesha and Singh, 2008). The nature of water used for irrigation has effects in the production, quality and type of culture (Almeida et al., 2008). Important information on the suitability of groundwater MATERIALS AND METHODS Study area: This study was conducted in July and August 2009 at Pointe-Noire town. The area of Pointe-Noire which is chosen for this study is located on the Atlantic coast of central Africa at the south-western extremity of Congo-Brazzaville and its geographical coordinates lie between the meridian lines 11º30 and 12º East and parallels 4º30 and 5º South (Fig. 1). Its surface which is approximately about 15,660 ha spread out within a radius of 15 km. Presenting a dominating geographical position to which it owes its most characteristic features, the studied area is an ideal zone of the contact oceancontinent where the effects of the marine currents and Corresponding Author: C. Tathy, Equipe De recherche En Matériaux et Ecoulements En Milieux Poreux, ENSP, U.M.NG., B.P 69 Brazzaville, Congo 617 Res. J. Appl. Sci. Eng. Technol., 3(7): 617-624, 2011 Fig. 1: Localization of the piezometers in the study area mass of Atlantic maritime air were announced. Annual precipitations are relatively moderate on average 1200 mm compared to the whole of the country. The average temperatures range between 22.2 and 28ºC with weak thermal variations. Belonging to the coastal sedimentary basin of cretaceous and tertiary age, the area of PointeNoire is covered by formations with age plio-pleistocene formations other than the series of circuses (Fig. 2), made of very permeable sands including multiple resistant horizons. The soils of the region of Pointe-Noire are classified in the Ferralic Arenosols group (Mareschal et al., 2011) with a sandy texture (80-90%) on >1 m depth. The aquifer tank of Pointe-Noire is of deep sands type belonging to the category of the permeable layers to semi permeable which endows it with the potentiality in drinking water provisioning. The present study concerns one of the two deeper aquifers, aquifer AQ-2, and the most exploited of the region (Fig. 3). Sampling and analysis: To characterize the chemical composition of aquifer AQ-2, 11 piezometers of the National Company of Water Distribution (N.C.W.D) whose localization is shown in Fig. 1 were sampled. Sampling was carried out during the dry season (July and August, 2009). The hydrochemistry of groundwater was essentially based on the determination of the basic parameters which are pH, Temperature, Total Dissolved Solids (TDS), Calcium (Ca2+), Magnesium (Mg2+), Sodium (Na+), Potassium (K+), Chloride (ClG), sulphate (SO42G), Bicarbonate (HCO3G), Total Hardness (TH) and Total Alkalinity (TA). Determinations were performed using procedures recommended in the Standard Methods 618 Res. J. Appl. Sci. Eng. Technol., 3(7): 617-624, 2011 Fig. 2 : Cross section of the lithostratigraphic column of Pointe-Noire for Examination of Water and Wastewater (APHA, 1995). Calcium and magnesium (Ca2+ and Mg2+) cations were analyzed by complexation volumetry with EDTA. Sodium and potassium (Na+ and K+) were analyzed using flame photometry. Bicarbonate ions (HCO3-) were analyzed by acid-base volumetry using sulfuric acid (H2SO4) and the chloride ions (ClG) were analyzed by argentometric volumetry using silver nitrate (AgNO3). The determination of sulphate was carried out by the turbidimetric method. TDS and pH were measured using a portable multiparameter Consort C933. Total Hardness (TH) was calculated by the following equation (Todd, 1980): TH = 2.497 Ca2+ + 4.115 Mg2+ (mg/L CaCO3) (1) Sodium Adsorption Ratio (SAR) was calculated by the following equation given by Richard (1954) as: SAR = 619 Na + Ca 2+ + Mg 2 + 2 (2) Res. J. Appl. Sci. Eng. Technol., 3(7): 617-624, 2011 Fig. 3: Vertical cross section of the multi-layer aquiferous system of Pointe-Noire (Usunoff and Guzman-Guzman, 1989; Suk and Lee, 1999; Sing et al., 2005; Venugopal et al., 2009). FA reduces the analytical data of each sample, which are intercorrelated to a smaller set of factors that are then interpretable (Ramesh Kumar and Riyazuddin, 2008). Prior to analysis, the data are standardized by z-scale transformation (Pejman et al., 2009). The principal components extraction method has been used in this procedure. The factors retained are those with an eigenvalue > 1 (Kaiser, 1958). These factors will be easily interpretable in terms of particular process (Lee et al., 2001; Reghunath et al., 2002). The Percentage of Sodium (%Na) was computed by the equation (Todd, 1995): % Na = ( Na + ) + K + × 100 Ca 2 + + Mg 2 + + Na + + K + (3) The Residual Sodium Carbonate (RSC) was determined by the formula: RSC = HCO3G - (Ca2+ + Mg2+) (4) The Permeability Index (PI) was calculated according to Doneen (1964). The following equation was employed: PI = Na + + HCO3− Ca 2 + + Mg 2 + + Na + + K + × 100 RESULTS AND DISCUSSION The values of the hydrochemical data of the study area are shown in Table 1. Table 2 shows the descriptive statistics of the hydrochemical data. The pH values of groundwater in the aquifer AQ-2 ranged from 5.9 to 7.2. At the sight of the variance, which is 0.14, no distinct groupings of piezometers were observed. Total Dissolved Solids (TDS) of groundwater varied between 41.16 to 229.10 mg/L with a variance of 5334.37. This denotes a non-homogenous composition of the groundwater in the aquifer AQ-2. Temperature values of the groundwater do not exhibit significant variation and its distribution can be considered as normal. The concentrations of cations in the groundwater were small, 4.67-49, 0.70-60.48, 0.94-159.00 and 2.20-7.10 mg/L for Ca2+, Mg2+, Na+ and K+, respectively. Calcium, magnesium and sodium have a high variance, except potassium (Table 2). About the concentrations of anions ClG, SO42G and HCO3G, these ranged between 0.80-7.30, 2.47-35 and 15.13-61 mg/L, (5) The Potential Salinity (PS) was calculated according to Doneen (1964) by the formula: PS = Cl- + ½ SO42G (6) In the irrigation indexes, the concentrations of ions are expressed in meq/L. Statistical analysis: The factors controlling the hydrochemistry of aquifer AQ-2 were determined from factor analysis (Adams et al., 2001; Hajalilou and Khaleghi, 2009). Factor Analysis (FA) is one of the multivariate statistical analyses which differentiate the water samples on the basis of their composition and origin 620 Res. J. Appl. Sci. Eng. Technol., 3(7): 617-624, 2011 Table 1: Physico-Chemical parameters of groundwater in AQ-2 (Pointe-Noire, Congo-Brazzaville) Piezometer pH TDS T Ca2+ Mg2+ Na+ K+ ClSO42G HCO4G P1 6.8 41.16 26 6 .0 3.6 0.94 2.20 2.5 8.00 28.06 P2 6.7 43.12 26.2 6.2 3.48 1.45 2.41 1.9 8.61 30.02 P4 5.9 54.38 26.9 4.67 0.7 12.27 2.90 3.9 12.00 32.94 P6 6.6 47.13 26.6 19.4 0.96 16.06 5.00 1.2 9.52 15.13 P7 7.0 126.5 26.3 35.6 16.31 38.16 3.02 3.9 32.00 47.64 P8 6.6 53.21 26 11.9 0.96 2.67 3.60 1.7 6.87 28.06 P10 7.2 229.1 26.8 49.0 60.48 159 7.10 1.4 16.90 22.31 P11 7.2 140 26.8 38.0 17 35.52 3.70 4.9 35.00 61.00 P13 6.6 49.1 26.8 20.08 0.89 12.73 2.70 0.8 2.47 31.72 P14 7.0 140.8 26.8 43.0 20 65.34 6.10 7.3 8.00 46.36 P15 6.4 228.9 26 42.0 60 135.9 5.60 5.7 18.00 48.8 Table 2: Descriptive statistics of the hydrochemical data Parameter Minimum Maximum pH 5.90 7.20 TDS 41.16 229.10 T 26.00 26.90 Ca2+ 4.67 49.00 2+ Mg 0.70 60.48 Na+ 0.94 159.00 + K 2.20 7.10 ClG 0.80 7.30 2 SO4 G 2.47 35.00 HCO3G 15.13 61.00 TA 12.40 50.00 TH 14.54 371.41 Mean 6.73 104.85 26.47 25.08 16.76 43.64 4.03 3.20 14.31 35.64 29.21 131.64 TA 23.00 24.61 27.00 12.40 39.05 23.00 18.29 50.00 26.00 38.00 40.00 TH 29.81 29.81 14.54 52.4 156.06 33.67 371.41 164.89 53.8 189.73 351.95 Median 6.70 54.38 26.60 20.08 3.60 16.06 3.60 2.50 9.52 31.72 26.00 53.80 Table 3: Correlation matrix among 13 water quality parameters of groundwater in aquifer AQ-2 pH TDS T Ca2+ Mg2+ Na+ K+ pH 1.00 TDS 0.40 1.00 T 0.09 0.09 1.00 2+ Ca 0.61 0.90 0.28 1.00 2+ Mg 0.30 0.96 - 0.02 0.80 1.00 Na+ 0.29 0.96 0.11 0.83 0.98 1.00 K+ 0.32 0.77 0.28 0.78 0.76 0.84 1.00 ClG 0.08 0.47 0.08 0.48 0.32 0.30 0.29 SO42G 0.44 0.50 0.09 0.52 0.35 0.28 0.08 HCO3G 0.26 0.43 0.06 0.48 0.24 0.17 - 0.02 TA 0.26 0.43 0.06 0.48 0.24 0.17 - 0.02 TH 0.42 0.99 0.08 0.90 0.98 0.98 0.80 SAR 0.17 0.92 0.30 0.82 0.92 0.96 0.85 SAR 0.07 0.12 1.40 0.96 1.32 0.20 3.57 1.20 0.75 2.06 3.14 %Na 0.14 0.17 0.68 0.44 0.36 0.24 0.49 0.33 0.37 0.44 0.46 RSC - 0.14 - 0.11 0.25 - 0.80 - 2.36 - 0.22 - 7.12 - 2.32 - 0.56 - 3.06 - 6.30 PI 112.21 115.31 156.67 68.42 52.99 100.41 52.2 52.34 78.12 55.77 52.29 S.D 0.38 73.04 0.37 16.81 22.69 55.11 1.66 2.11 10.48 13.57 11.13 129.42 PS 0.15 0.14 0.23 0.13 0.44 0.12 0.22 0.50 0.05 0.29 0.35 Variance 0.14 5334.37 0.14 282.52 515.05 3036.87 2.74 4.44 109.73 184.27 123.80 16748.98 ClG SO42G HCO3G TA TH SAR 1.00 0.39 0.79 0.79 0.38 0.39 1.00 0.68 0.68 0.42 0.30 1.00 1.00 0.33 0.21 1.00 0.33 0.21 1.00 0.93 1.00 between various parameters of the groundwater of AQ-2 have been done and are presented in Table 3. Calcium values are moderately correlated to pH, TDS is strongly correlated to Na+, Mg2+ and Ca2+ (r = 0.90-0.96). The major exchangeable ions Na and Ca; Na and Mg are correlated positively. Among the anions, HCO3- shows moderate correlation with ClG and SO42G (r = 0.79 and r = 0.68). TH is strongly correlated with TDS (r = 0.99), consequently with the major cations (r = 0.80-0.98). Alkalinity exhibits high positive correlation with bicarbonates. Sodium adsorption ratio (SAR) is strongly correlated to TDS (r = 0.92), TH (r = 0.93) and consequently with the major cations (r = 0.82-0.96). We can therefore postulate that the concurrent increase/decrease in the composition of ions in the groundwater of aquifer AQ-2 could be due predominantly to the result of dissolution/precipitation reaction and concentration effects. respectively. Sulfate and bicarbonate ions have each one a high variance (109.73 and 184.27, respectively), compared to chloride ions with a variance equal to 4.4. Total Alkalinity (TA) varied from 12.4 to 50 mg/L CaCO3 with a high variance (Table 2). Groundwater in the aquifer AQ-2 presents a low alkalinity. Total Hardness (TH) values ranged from 14.54 to 371.41 mg/L CaCO3. TH exhibited a high variance. This denotes a great variability in the lithostratigraphy of the study area (Fig. 2). Following the water hardness, Environmental Canada (1979) classified water having 0-30 mg/L CaCO3 as very soft, 31-60 mg/L CaCO3 as soft, 61-120 mg/L CaCO3 as moderately soft, 120-180 mg/L as hard and > 180 mg/L CaCO3 as very hard. In the aquifer AQ-2, water in the piezometers P7, P10, P11, P14 and P15 are classified as hard while water in the other piezometers are soft to moderately soft based on TH values. Correlation analysis: Correlation coefficient is commonly used to establish the relation between variables (Nair et al., 2005). In this study, correlation analyses Factor analysis: Table 4 summarizes the sorted FA results, including the variable loadings, eigenvalues, 621 Res. J. Appl. Sci. Eng. Technol., 3(7): 617-624, 2011 Table 4: Varimax rotated factor loading matrix for groundwater chemistry data in aquifer AQ-2 Parameter Factor 1 Factor 2 Factor 3 Factor 4 pH 0.22 0.09 0.06 0.91 TDS 0.92 0.33 - 0.03 0.20 T 0.09 0.04 0.98 0.05 0.79 0.35 0.20 0.41 Ca2+ 0.96 0.14 - 0.15 0.12 Mg2+ Na+ 0.99 0.07 0.00 0.09 0.89 - 0.09 0.26 0.07 K+ ClG 0.29 0.84 0.09 - 0.19 0.18 0.64 - 0.02 0.54 SO42G 0.08 0.97 0.00 0.17 HCO3G TA 0.08 0.97 0.00 0.17 TH 0.95 0.22 - 0.04 0.22 SAR 0.96 0.15 0.20 - 0.03 Eigenvalue 7.28 2.69 1.1 1.07 Total variance (%) 55.99 20.67 8.49 8.23 Cumulative (%) 55.99 76.66 85.15 93.38 of variance than 10 as "excellent". With these SAR values, all groundwater samples fall in the low sodium class (S1). This implies that groundwater of aquifer AQ-2 is suitable for irrigation. Percentage of sodium (% Na): The %Na values varied from 0.14 to 0.68. According to Wilcox classification of groundwater on the basis of %Na (Wilcox, 1955), groundwater of two piezometers (P1 and P2) are in the water class "excellent" (%Na < 20); groundwater of four piezometers (P7, P8, P11 and P13) are in the water class "good" (20 # %Na #40); and groundwater of four piezometers (P6, P10, P14 and P15) are in the class "permissible" and groundwater of one piezometer (P4) fall in water class "doubtful" in the aquifer AQ-2. The particularity of the piezometer P4 is that groundwater collected has the lowest concentration of Ca2+ and Mg2+. percentage of explained variance and cumulative percentage of variance associated with each factor. Factor 1 account for 55.99% of the total variance and has a high loading value of TDS, Na+ , Mg2+ , K+ , Ca2+, TH and SAR. Factor 1 is related to the mineralization of groundwater of which Total Hardness (TH) and Sodium Adsorption Ratio (SAR) proceed. Factor 2 explains 20.67% of the total variance and includes HCO3G, TA and ClG. This factor was related to alkalinity of groundwater due to bicarbonate ions. Factor 2 shows also the competition between anions of same valence in the groundwater (HCO3G and ClG). Factor 3 which explains 8.49 % of the total variance includes the parameter T. Factor 3 could explains the importance of temperature in the solubility of some minerals which control the chemical composition of groundwater. Factor 4 explains 8.23 % of the total variance and includes pH. Ca2+ shows a medium correlation with SO42G (r = 0.54). Factor 4 characterized by pH could be a controlling factor of gypse solubility in the aquifer. Residual Sodium Carbonate (RSC): When water has high concentration of bicarbonate ions, there is a tendency for Ca2+ and Mg2+ to precipitate as carbonates. RSC index characterizes this effect (Eaton, 1950). If the RSC exceeds 2.5 meq/L, water is unsuitable for irrigation. For RSC between 1.25 to 2.5 meq/L, water is of marginal quality; on the other hand, when the values are lower than 1.25 meq/L or negative, water is suitable for irrigation. All the groundwater samples collected in the 11 piezometers showed negative value of RSC, except water in the piezometer P4 with a RSC value of 0.25 (Table 1). This indicates that dissolved calcium and magnesium contents were higher than bicarbonate content about the piezometer P4. The RSC values are negative and less than 1.25 meq/L, then groundwater in aquifer AQ-2 fall in excellent category. Permeability Index (PI) and Potential Salinity (PS): A long term use of irrigation water affects the soil permeability; the parameters which are influenced are soil type, Total Dissolved Solids (TDS), sodium as Na+ and bicarbonate as HCO3G. The groundwater PI values ranged from 52 to 154. According the classification of Doneen (1964), groundwater of 2 piezometers fall in the class I, 5 piezometers in class II and 4 piezometers in class II. PS values ranged from 0.05 to 0.50 meq/L, which are lower than 3 meq/L, then groundwater fall in the class I (Doneen, 1964). The results of PI and PS suggest that groundwater is suitable for irrigation. Groundwater quality for irrigation purposes: Total dissolved Solids (TDS): The concentration and composition of dissolved constituents in water determine its quality for irrigation use. Chemical constituents i.e., TDS and the relative proportion of sodium to calcium and magnesium affect water suitability for irrigation. TDS and SAR are some important parameters for the determination of suitability of irrigation water. The TDS contents of the groundwater in all the groundwater samples are less than 1500 mg/L. Waters are fresh in aquifer AQ-2, therefore TDS content is considered satisfactory. All the groundwater samples collected in the piezometers are considered suitable for irrigation uses according TDS values. CONCLUSION Factor analysis performed on the hydrochemical data highlighted the mineralization as a process controlling the composition of groundwater; alkalinity, temperature and pH are also some controlling factors. Total dissolved solids in groundwater of aquifer AQ-2 is less than 1500 Sodium Adsorption Ratio (SAR): SAR (sodium adsorption ratio) expresses the sodium hazard of irrigation water. SAR varied from 0.07 to 3.57 (Table 1). Todd (1980) classified irrigation water with SAR values lower 622 Res. J. Appl. Sci. Eng. Technol., 3(7): 617-624, 2011 mg/L and SAR values are to be less than 10. RSC values on the whole are less than 1.25 meq/L. Percentage of sodium and permeability index are also in acceptable range for irrigation. Hence, one can conclude that groundwater of aquifer AQ-2 in Pointe-Noire is suitable for irrigation. Mridha, M.A.K., M.H. Rashid and K.H. Talukder, 1996. Quality of groundwater for irrigation in Natore district. Bangladesh J. Agril. Res., 21: 15-30. Nair, A., G. Abdalla, I. Mohmed and K. Premkumar, 2005. Physicochemical parameters and correlation coefficient of ground waters of north-east Libiya. Pollut. Res., 24(1): 1-6. Obiefuna, G.I. and A. Sheriff, 2011. Assessment of shallow ground water quality of Pindiga Gombe area, Yola area, NE, Nigeria for irrigation and domestic purposes. Res. J. Environ. Earth Sci., 3(2): 132-142. Pejman, A.H., G.R. Nabi Bidhendi, A.R. Karbassi, N. Mehrdadi and M. Esmaeili Bidhendi, 2009. Evaluation of spatial and seasonal variations in surface water quality using multivariate statistical techniques. Int. J. Environ. Sci. Tech., 6(3): 467-476. Ramesh Kumar, A. and P. Riyazuddin, 2008. Application of chemometric techniques in the assessment of groundwater pollution in a suburban area of Chennai city, India. Curr. Sci., 94(8): 1012-1022. Reghunath, R., T.R.S. Murthy and B.R. Raghavan, 2002. The utility of multivariate statistical techniques in hydrochemical studies: An example from Karnataka, India. Water Res., 36(10): 2437- 2442. Richards, L.A., 1954. Diagnosis and Improvement of Saline and Alkali Soils Agric Handbook 60, USDA and IBH Pub. Coy Ltd., New Delhi, India, pp: 98-99. Sharma, J.D., M.K. Sharma, P. Jain and D. Sohu, 2005. Quality status of potable water of Tehsil-Sanganer, Distric-Jaipur, Rajasthan. Asian J. Exp. Sci., 19(2): 113-118. Sing, K.P., A. Malik, V.K. Singh, D. Mohan and S. Sinha, 2005. Chemometric analysis of ground water quality data of alluvial aquifer of Gangetic plain. North India. Anal. Chim. Acta., 550(1-2): 82-89. Suk, H. and K.K. Lee, 1999. Characterization of a ground water hydrochemical system through multivariate analysis: Clustering into ground water zones. Ground Water, 37(3): 358-366. Tathy, C., L. Matini, B. Mabiala, F. Antoine and G. Moukandi Nkaya, 2010. Hydrochemistry of groundwater in the aquifer AQ-2 in Pointe-Noire, south-west Congo-Brazzaville. Res. J. Appl. Sci., 5(5): 361-369. Todd, D.K., 1980. Groundwater Hydrology. 2nd Edn., John Wiley and Sons Inc., New York, ISBN: 047187616X, pp: 535. Todd, D.K., 1995. Groundwater Hydrology J. 3rd Edn., Wiley and Sons Inc., New York, US. Usunoff, E.J. and A. Guzman-Guzman, 1989. Multivariate analysis in hydrochemistry. An example of the use of factor and correspondence analysis. Ground Water, 27(1): 27-34. ACKNOWLEDGMENT We would like to thank the National Company of Water Distribution (NCWD) of Congo-Brazzaville for the authorization and the assistance that it granted to us to work on its piezometers, as well as the International Foundation of Sciences (IFS) for the support which it gave to Mr. Guy Moukandi NKaya uer grant W/45071. REFERENCES Almeida, C., S. Quintar, P. González and M. Mallea, 2008. Assessment of irrigation water quality. A proposal of a quality profile. Environ. Monit. Assess., 142: 149-152, DOI 10.1007/s10661-0079916-7. APHA, 1995. Standard Methods for the Examination of Water and Wastewater 17th Edn., American Public Health Association, Washington DC, USA. Doneen, L.D., 1964. Notes on water quality in agriculture. Published as a water science and engineering paper 4001, Department of Water Science and Engineering, University of California. Eaton, F.M., 1950. Significance of carbonate in irrigation waters. Soil Sci., 67(3): 128-133. Environmental Canada, 1979. Water Quality Source Book. A Guide to Water Quality Parameters. In: McNeely, R.N., V.P. Meimanis and L. Dwyer (Eds.), Inland Waters Directorate, Water Quality Branch, Ottawa, Canada, pp: 88. Gupta, S.C., 2004. Significance of micro-level studies in formulation of water supply schemes in fluoride prone areas: National Workshop on Control and Mitigation of Excess Fluoride in Drinking Water, 5-7 February, Jaipur. Kaiser, H.F., 1958. The varimax criterion for analytic rotation in factor analysis. Psychometrika, 23(3): 187-200. Lee, J.Y., J.Y. Cheon, K.K. Lee, S.Y. Lee and M.H. Lee, 2001. Statistical evaluation of geochemical parameter distribution in a ground water system contaminated with petroleum hydrocarbons. J. Environ. Qual., 30: 1548-1563. Mareschal, L., J.D.D. Nzila, M.P. Turpault, A. Thongo M’Bou, J.C. Mazoumbou, J.P. Bouillet, J. Ranger and J.P. Laclau, 2011. Mineralogical and physicochemical properties of ferralic arenosols derived from unconsolidated Plio-Pleistocenic deposits in the coastal plains of Congo. Geoderma, 162(1-2): 159-170. 623 Res. J. Appl. Sci. Eng. Technol., 3(7): 617-624, 2011 Venugopal, T., L. Giridharan and M. Jayaprakash, 2009. Application of chemometric analysis for identifying pollution sources: a case study on the River Adyar, India. Mar. Freshwater Res., 60: 1254-1264. Vineesha, S. and U.C. Singh, 2008. Assessment of groundwater quality of parts of Gwalior (India) for agricultural purposes. Ind. J. Sci. Technol., 1(4): 1-5. Wilcox, L.V., 1955. Classification and Uses of Irrigation Waters. USDA Circular No. 969, Washington, DC, pp: 19. 624