Research Journal of Environmental and Earth Sciences 4(3): 207-214, 2012 ISSN:2041-0492 © Maxwell Scientific Organization, 2012 Submitted: June 09, 2011 Accepted: August 08, 2011 Published: March 01, 2012 Distribution and Chemical Speciation of Some Elements in the Ground Waters of Oban Area (South-Eastern Nigeria) A.S. Ekwere and A. Edet Department of Geology, University of Calabar, Calabar, Nigeria Abstract: The computer modeling programs, PHREEQC and VISUAL MINTEQ were used to ascertain the distribution, chemical speciation and mineral saturation indices of groundwater in the Oban massif (SouthEastern Nigeria). The prime objective was to determine the potential risk of groundwater by potentially toxic Elements. Results reveals Fe, Mn, Ni, Pb, Cd and Cr are distributed as free ions. Oxides and hydroxides of iron and manganese are predominant, reflective of mineralogy/geology of the crystalline basement. The groundwater is super-saturated (SI>10), with respect to goethite, hematite, ferrihydrite, jarosite-k, hausmanite, manganite, pyrochroite and pyrolusite. These species are relatively mobile under the prevailing pH-Eh regime, but total concentrations are low and within permissible limits for safe water. Key words: Groundwater, Nigeria, Oban, speciation, saturation index, toxic elements predominance of isolated hills, largely on the eastern arm of the massif, with maximum heights of about 1,200 m above sea level (Ayi, 1987). The hills rise steeply and abruptly, often dissected by V-shaped valleys and are thickly forested to the summit of even the highest peaks. The western flank is more sub-dued topographically. Drainage within the massif is controlled by weathered zones, fractured and jointed areas. The massif is well drained with a network of rivers and associated streams, actively engaged in erosion of channels (juvenile stage). The drainage on the massif courses in two directions: southwards and seaward and northward to join the upper course of the Cross River in the Ikom depression (Ekwere, 2010). The study area is characterized by tropical climate with two distinct seasons viz wet and dry. The wet season spans a period of about six months (May to October) and the dry season lasts from November to April. General temperature trend for the study area is high with negligible diurnal and annual variations. The average monthly temperatures in the area ranged from 26-34ºC during the period of study. Mean annual rainfall of about 2,300 mm have been reported for the area, with annual mean daily relative humidity and evaporation of 76-86% and 3.85 mm/day respectively, (Petters et al., 1989). Peaks of precipitation usually are between the months of June to August, and vary annually. Regional run-off coefficient of the study area, are in the order of 0.21-0.61 and are due to topography and evaporation, (Petters et al., 1989). Geologically, the Oban Massif is described as being underlain by highly deformed Precambrian crystalline basement rocks, mainly migmatites, granites, gneisses and schists. These rocks exhibit varying degrees of weathering across the massif. They are intruded by pegmatites, INTRODUCTION The geochemical behavior, chemical and isotopic properties of water is related to its location in the hydrosphere (Langmuir, 1997). Chemical species of elements or group of elements have a direct bearing on their environmental chemistry. Speciation levels of these elements reflect their mobility, bioavailability to living organisms as well as their potential toxicity. The variations in chemical constituents of groundwater are believed to be indicators of the series of simple and highly complex geochemical processes within porous sub-surface units. These, resultant from reactive transport of fluids within the sub-surface, produce a vast array of chemical species existing in different phases. The ability to detect and quantify the reactive chemical phases has in recent times, been enhanced through computer based programs for hydrogeochemical modeling. These models provide an insight into the general features of natural phenomenon, rather than specific details. Thus, it probes the confidence of employing hydrogeochemical models for prediction of future evolution of groundwater systems. This article attempts to determine the distribution of mobile chemical phases of potentially toxic elements, through modeling, for groundwaters within the crystalline basement of the Oban Massif. Description of study area: The study area, Oban crystalline basement complex, lies between Longitudes 8º00! and 8º55! E and Latitudes 5º00! and 5º45!N covering an area of about 8,740 km2 (Edet et al., 1998), Fig. 1. The area lies at an average height of about 150 m a.m.s.l, rising gradually from the south northwards and falls away towards the Cross River to the North. There is a Corresponding Auther: A.S. Ekwere, Department of Geology, University of Calabar, Calabar, Nigeria 207 Res. J. Environ. Earth Sci., 4(3): 207-214, 2012 Fig. 1: Geologic map of the study area (Oban massif): Modified from Ekwueme (2003) Table 1: Some aquifer parameters across the Oban massif Location Hydraulic conductivity parameter Static water level (m)(m2/day) Abbiati 5.80" 13.42" Akamkpa 4.00‡ 6.0 13.15" Awi1 0.50‡ 13.18† Mbarakom 9.50‡ 10.14† Mfamosing 8.53† Oban 4.70‡ 12.46" Uyanga 3.89" 0.65‡ †: Edet and Okereke (2005); ‡: Edet et al. (1998); : Ekwere (2010) Yield (m3/day) 105.00‡ 190.80‡ 15.00‡ 180.00‡ 164.16‡ 129.60‡ Aquifer thickness (m) 24.00 58.00‡ 216.00‡ 55.00† 3.10‡ 40.50† 45.80‡ 50.40† 30.00‡ 22.00 Transmissivity (m2/day) 120.80‡ 150.80 159.12† 123.42† 51.00† 132.40 Some reported aquifer parameters from the study area are presented in Table 1. This presents data as determined from boreholes and wells across the massif. granodiorites, diorites, tonolites, monzonites, charnokites and dolerites (Ekwueme, 1990). Economic minerals that have been identified within this basement complex include feldspars, galena, gemstones, graphite, gold, ilmenite, kaolin, manganese, mica, quartz, rutile, tin and uranium (CRSG, 1989). Currently mining activities within the study area are limited to mining of aggregates for the construction industry. Weathered profiles, fractures and joints are prominent features within these rock suites and they control the movement and storage of groundwater as they are the main aquifers within the massif. Groundwater in the study area occurs under water table conditions in the weathered and fractured units, with static water level ranging from 0.00-7.00m across the massif (Ekwere, 2010). Rates and levels of recharge to porous aquiferous media in the study area, suffer impedance due to the top lateritic cover characteristic of the area, (Petters et al., 1989. This is attributed to the high clay contents of these lateritic top soils, hence their low permeability. METHODOLOGY A total of fifty six groundwater samples were collected from twenty eight locations during the dry season (February, 2009) and the wet season (June, 2009). These samples straddled the various geologic units within the study area. Two samples were collected from each location in 75Cl polyethylene bottles. The sample bottles were soaked in 10% HNO3 for 24 h and rinsed several times with de-ionized water prior to use. At the sampling locations, the bottles were thoroughly rinsed with aliquots of the sampled waters, prior to collection. One sample from each location was preserved by acidifying to pH Ca2 with 0.5 mL of concentrated HNO3 acid for trace metals analysis. Field measurements included temperature, electrical conductivity, total dissolved solids, pH and Eh were 208 Res. J. Environ. Earth Sci., 4(3): 207-214, 2012 Table 2: Results of analysis for ground water (dry season) Sample code Temp. pH EC TDS Fe Mn Ni Cr GWB 1 26 5.9 46.3 29.68 0.012 0.024 0.001 0.001 GWB 2 28 5.86 38.6 24.74 0.056 0.274 0.006 0.001 GWB 3 27 5.92 42.2 27.18 0.009 0.147 0.002 0.006 GWB 4 27 5.84 34.6 22.18 0.134 0.071 0.002 0.002 GWB 5 26 5.14 326 209.0 0.011 0.047 0.009 0.007 GWB 6 29 5.08 250 160.3 0.065 0.368 0.001 0.001 GWB 7 27 5.51 67.0 42.95 0.027 0.062 0.001 0.001 GWB 8 29 6.02 72.4 46.41 0.007 0.318 0.002 0.009 GWB 9 32 6.34 69.2 44.36 0.016 0.061 0.001 0.001 GWB 10 28 5.40 77.4 49.62 0.002 0.043 0.001 0.001 GWB 11 29 5.87 50.6 32.44 0.003 0.066 0.001 0.005 GWB 12 26 5.72 83.0 53.21 0.170 0.050 0.001 0.001 GWW 1 26 6.34 56.2 36.03 0.009 0.008 0.015 0.005 GWW 2 26 6.46 326 20.90 0.003 0.428 0.001 0.004 GWW 3 28 6.06 46.4 29.74 0.334 0.013 0.051 0.021 GWW 4 27 5.82 56.8 36.41 0.006 0.088 0.003 0.007 GWW 5 27 5.97 454 291.0 0.127 0.374 0.001 0.004 GWW 6 26 6.04 474 303.9 0.007 0.425 0.005 0.009 GWW 7 28 5.88 586 375.6 0.059 0.443 0.002 0.002 GWW 8 27 5.56 616 394.9 0.001 0.146 0.001 0.008 GWW 9 27 5.62 622 398.7 0.019 0.161 0.039 0.009 GWW 10 28 6.18 482 309.0 0.005 0.086 0.001 0.006 GWW 11 28 5.92 612 392.3 0.163 0.151 0.003 0.014 GWW 12 26 6.79 48.8 31.28 0.001 0.102 0.001 0.001 GWW 13 27 5.12 52.8 33.85 0.013 0.033 0.012 0.006 GWW 14 28 5.71 24.8 15.9 0.082 0.049 0.001 0.001 GWW 15 27 6.86 52.0 33.33 0.113 0.122 0.008 0.001 Mean 27.4 5.82 157.3 127.6 3.980 37.41 3.380 2.670 *: All values in ppm, except EC and temperature in :s/cm and ºC, respectively Table 3: Results of analysis for ground water (dry season) Sample code Temp. pH EC TDS Fe Mn GWB 1 30.4 6.96 160 110 1.472 0.048 GWB 2 28 6.74 76 120 1.513 0.197 GWB 3 28 7.02 94 140 0.916 0.102 GWB 4 27 6.27 60 40 1.436 0.053 GWB 5 29 6.32 370 570 0.872 0.023 GWB 6 28 6.29 180 120 0.655 0.089 GWB 7 28 7.12 60 40 1.759 0.039 GWB 8 26 7.86 240 370 0.104 0.224 GWB 9 28 8.65 320 190 0.137 0.056 GWB 10 28.5 7.29 430 280 0.176 0.097 GWB 11 27 7.85 180 280 0.120 0.082 GWB 12 28 7.89 120 80 0.201 0.114 GWB 13 28 6.90 310 210 0.046 0.005 GWW 1 28.6 7.69 90 60 2.421 0.068 GWW 2 28 7.06 190 130 0.012 0.082 GWW 3 27 6.55 240 370 4.018 0.128 GWW 4 29.4 6.45 100 70 0.731 0.104 GWW 5 30 6.76 410 290 9.115 0.007 GWW 6 28 6.82 430 570 2.264 0.119 GWW 7 29 6.64 520 780 2.784 0.201 GWW 8 28 5.88 240 170 0.004 0.014 GWW 9 27 5.94 376 540 0.028 0.017 GWW 10 28 6.70 200 140 0.003 0.093 GWW 11 27 6.48 578 890 0.107 0.127 GWW 12 28 7.06 80 120 0.001 0.086 GWW 13 28.5 7.14 120 180 0.009 0.028 GWW 14 27 7.62 580 470 9.800 0.015 GWW 15 27.5 6.98 310 480 8.760 0.094 GWW 16 27 7.64 110 80 0.027 0.046 Mean 28.0 6.75 247.38 233.54 1.710 0.081 Ni 0.018 0.036 0.004 0.003 0.019 0.014 0.005 0.012 0.013 0.015 0.006 0.007 0.041 0.009 0.016 0.024 0.012 0.014 0.019 0.010 0.008 0.044 0.005 0.009 0.012 0.009 0.061 0.010 0.003 0.016 Cr 0.008 0.019 0.007 0.009 0.016 0.012 0.027 0.034 0.019 0.014 0.020 0.003 0.006 0.006 0.004 0.008 0.003 0.011 0.007 0.004 0.012 0.009 0.005 0.017 0.011 0.021 0.036 0.003 0.007 0.012 Cd 0.001 0.001 0.002 0.002 0.001 0.001 0.002 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.003 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.058 Pb 0.001 0.001 0.001 0.001 0.001 0.001 0.004 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.008 0.003 0.001 0.001 0.001 0.001 0.003 0.001 0.001 0.001 0.001 0.001 0.001 0.154 Na 3.662 4.339 1.989 2.562 4.597 4.603 4.401 4.237 2.459 3.745 2.957 9.000 4.124 4.382 2.939 3.006 4.367 4.240 4.951 4.335 4.274 4.553 4.408 4.380 3.915 1.163 3.708 0.006 Ca 12.26 35.20 30.15 17.02 62.06 30.12 30.11 122.1 30.11 20.09 15.19 13.40 118.4 104.4 7.273 22.26 9.002 454.13 22.04 15.02 135.2 22.05 18.05 21.15 15.07 15.13 13.15 0.005 Mg 0.559 5.168 3.604 1.016 4.993 5.198 0.847 5.337 0.424 2.063 1.789 4.900 3.498 5.285 1.369 2.394 5.283 5.586 5.150 4.371 5.281 4.424 4.668 4.007 1.789 0.447 1.761 0.001 K 1.563 3.455 1.915 1.065 3.284 2.999 1.449 3.211 0.821 0.809 0.912 2.080 2.174 4.463 2.997 0.858 5.922 5.172 1.847 4.266 4.953 4.548 4.941 2.262 2.038 1.645 0.542 0.002 HCO3G 30.5 97.6 48.8 30.5 61.02 30.5 73.2 128.1 42.8 18.3 18.4 12.25 73.2 122.3 30.5 24.7 85.4 18.5 18.3 36.6 48.8 36.8 54.7 30.5 24.6 24.4 54.9 47.27 SO42G 2.94 30.77 9.091 1.092 113.6 61.54 564.1 136.4 13.64 5.88 29.41 1.22 40.91 45.47 68.18 29.41 0.572 47.06 43.59 50.07 1.282 91.18 117.9 32.35 27.05 5.128 12.83 58.62 NO3G 1.607 5.892 0.003 0.893 8.214 35.18 47.51 10.89 0.005 11.25 3.571 21.20 6.255 45.89 0.535 8.036 4.643 23.04 40.01 19.82 3.143 15.71 19.46 40.89 4.825 0.009 1.786 14.08 ClG 5.998 5.998 2.496 3.499 14.49 33.96 56.98 19.49 4.998 9.997 3.994 21.56 10.52 32.99 2.056 8.996 0.801 92.97 22.99 21.93 87.47 23.49 17.99 17.05 8.520 3.999 1.022 19.86 Cd 0.005 0.003 0.001 0.003 0.007 0.005 0.002 0.015 0.009 0.001 0.012 0.001 0.001 0.001 0.001 0.007 0.001 0.002 0.001 0.001 0.001 0.002 0.001 0.001 0.001 0.001 0.018 0.001 0.001 0.014 Pb 0.001 0.001 0.001 0.001 0.004 0.001 0.001 0.009 0.017 0.007 0.002 0.001 0.001 0.001 0.003 0.012 0.001 0.001 0.001 0.001 0.001 0.003 0.001 0.001 0.001 0.015 0.021 0.001 0.001 0.004 Ca 7.46 26.05 12.80 8.01 18.12 11.27 7.06 42.84 8.12 14.06 8.06 30.04 60.11 8.03 16.03 6.04 18.13 22.07 67.25 28.06 11.36 97.14 15.15 13.02 16.08 18.94 10.21 7.66 14.22 21.50 Mg 1.01 3.67 0.37 0.27 2.86 1.83 0.56 1.96 0.4 0.49 2.04 2.58 1.12 0.32 2.69 0.74 1.29 3.42 2.92 3.06 1.64 2.78 2.07 1.99 0.99 1.21 0.35 0.61 0.72 1.59 Na 4.65 5.71 2.42 2.07 4.79 5.6 4.93 5.09 2.3 2.96 3.01 4.97 1.76 2.45 6.7 2.72 4.06 6.97 5.87 6.76 4.32 4.45 5.66 5.69 5.02 3.72 2.65 4.02 4.41 4.35 K 1.01 4.69 2.11 0.19 4.04 0.96 1.35 1.62 0.74 0.6 1.32 3.86 0.74 0.99 29.81 1.21 32.18 30.16 28.72 32.04 3.26 3.62 9.79 10.13 3.26 2.56 2.58 1.02 32.18 8.51 Cl 128.5 256.4 56.74 27.99 98.2 149.9 232.9 187.5 123.6 596.6 126.4 50.62 103.1 103.5 75.48 26.74 105.5 130.9 180.2 194.6 104.5 126.8 48.49 33.46 28.05 22.14 308.7 27.29 37.99 127.35 HCOG3 72.14 97.55 52.14 24.16 58.74 18.25 36.47 94.56 67.1 213.5 186.2 54.89 127.9 30.41 42.63 12.62 48.64 66.98 24.22 12.14 24.34 21.92 36.49 48.64 28.2 36.48 384.3 32.14 30.48 68.42 SO42G 36.25 24.99 15.34 175.2 98.2 18.24 27.29 145.7 839.6 294.1 188.5 36.37 31.84 13.64 145.5 70.21 45.5 120.5 82.4 98.6 84.09 57.4 59.09 86.21 18.16 42.1 471.7 21.22 138.6 120.23 NO3G 0.69 0.95 0.09 0.18 1.25 2.57 0.26 10.04 8.27 4.14 2.14 1.8 1.94 0.48 2.88 0.23 0.53 3.18 11.72 7.27 1.18 0.34 1.04 1.01 8.49 2.13 1.98 0.63 0.73 2.69 carried out using standard field equipment (PHT-027 multi-parameter water quality probe). Prior to measurement of pH, the electrode was calibrated using pH 6.88 and 4.01 buffer solutions at a similar temperature to the water samples. The same meter and an ionode ORP electrode were used to measure Eh. Chemical analyses were carried out for the major ion concentrations of water samples using the standard procedures recommended by APHA (1995). Trace metal contents were also determined by Atomic Absorption Spectrometry (AAS). RESULTS AND DISCUSSION Concentrations of major and trace chemical species are presented in Table 2 and 3. The analytical results 209 Res. J. Environ. Earth Sci., 4(3): 207-214, 2012 respectively in the dry season. In the wet season ranges were 0.3-3.7mg/L for Mg and 0.2-32.18 mg/L for K. Potassium exh ibited the lowest concentration levels relative to other cations. This is common in natural waters due to its tendency to be fixed by clay minerals and precipitate in the formation of secondary minerals (Matheis, 1982). However K+ recorded the highest mean concentration of 13.97mg/L next to calcium (23.09 mg/L) in the wet season. The major anions and nutrient analyzed were bicarbonate (HCO32G), chloride (ClG), sulphate (SO42G) and nitrate (NO3G). Sulphate and bicarbonate were the dominant anions within the dry season with mean concentration values of 61 and 48 mg/l, respectively. In the wet season chloride was most dominant with an average concentration value of 130.5 mg/L. Sulphate had a mean value of 123 mg/L and bicarbonate lesser at 70 mg/L. Nitrate was least with mean values of 14 and 2.7 mg/L in the dry and wet seasons respectively. Concentrations of trace metals (Fe, Mn, Ni, Cr, Cd and Pb) are also presented in Table 2 and 3. Ranges of values of the selected trace metals exhibit a general trend of increase from the dry to wet season. Iron (Fe) concentration in groundwater ranged from 0.001 to 9.80 mg/L for both sampling seasons. Known primary sources of iron are silicates and aluminosilicates (olivine, pyroxene, amphibole mineral groups and the mica biotite), which characterize metamorphic and igneous rocks (Deer et al., 1992). Pyrite (FeS2) and magnetite (Fe2O4) are other common minor minerals. Iron (Fe2+) is largely mobilized and redistributed during the chemical weathering of igneous and metamorphic rocks. Relatively show the pH ranged from 5.08-6.86 in the dry season. The waters tended to be less acidic to alkaline in the wet season with pH range of 5.88-8.65. These differences in pH are related to variation in soil CO2 and bicarbonate concentration. The Electrical Conductivity (EC) which expresses ionic strength of solution, varied between 20.9 to 622/cm in the dry season and 60-800/cm in the wet season. The water in the massif exhibited average values of Total Dissolved Solids (TDS) concentration as 121ppm in the dry season and 265ppm in the wet season. Assessment shows that that EC and TDS concentration values are lower in the dry season compared to the wet season. The major cations analyzed included calcium, magnesium, sodium and potassium. The concentrations exhibited the relationship, Ca2+ > Na+ > Mg2+ > K+. Calcium (Ca2+) was the most dominant cation accounting for about 78 and 61% of total cation in the dry and wet seasons respectively. Concentration of Ca2+ ranged from 7.27-135.2 mg/L in the dry season and 6.04-97.14 mg/L in the wet season. This dominance of Ca2+ may reflect the process of chemical weathering of silicates and the common occurrence of calcium carbonate (Langmuir, 1997). Water-rock reactions of mineral phases such as plagioclase within the basement can be adjudged from this. Sodium (Na+) was next in dominance with concentration ranges of 1.2-9.0 and 1.8-7.0 mg/L in the dry and wet seasons respectively. The mean values were 3.98 and 4.35 mg/L for the dry wet seasons respectively. The other cations, magnesium (Mg2+) and potassium (K+) ranged between 0.4-5.4 and 0.5-5.9 mg/L Table 4: Correlation coefficient of parameters from the dry season Temp. EC TDS pH Na Temp. 1.000 EC 0.011 1.000 TDS 0.011 1.000 1.000 pH - 0.085 - 0.335 - 0.335 1.000 Na - 0.136 0.416 0.416 - 0.385 1.000 K - 0.080 0.735 0.735 - 0.321 0.514 Ca - 0.080 0.190 0.190 - 0.098 0.257 Mg - 0.098 0.642 0.642 - 0.306 0.695 Cl- 0.146 0.547 0.547 - 0.293 0.420 HCO3 0.029 0.012 0.012 0.022 0.199 SO4² - 0.026 0.014 0.014 - 0.199 0.119 NO 3 - 0.108 0.307 0.307 - 0.197 0.570 Table 5: Correlation coefficient of parameters from the wet season Temp. EC TDS pH Na Temp. 1.000 EC - 0.315 1.000 TDS - 0.292 0.844 1.000 pH - 0.209 - 0.062 - 0.251 1.000 Na 0.471 - 0.376 - 0.096 - 0.251 1.000 K 0.364 - 0.087 0.027 - 0.136 0.612 Ca 0.038 0.000 0.158 - 0.200 0.302 Mg 0.269 - 0.182 0.029 - 0.236 0.785 ClG - 0.114 0.385 0.221 0.064 - 0.203 HCO3 - 0.450 0.704 0.407 0.115 - 0.579 0.395 0.687 0.335 0.329 - 0.625 So42 − NO3G - 0.137 0.280 0.218 0.352 0.014 K Ca 1.000 0.428 0.800 0.552 0.454 0.020 0.352 1.000 0.512 0.533 0.625 0.069 0.187 K Ca Mg 1.000 0.532 - 0.036 - 0.236 - 0.296 0.186 1.000 - 0.103 - 0.387 - 0.448 0.111 1.000 0.221 0.537 - 0.145 - 0.298 - 0.270 0.126 210 Mg 1.000 0.503 0.438 - 0.061 0.493 ClG HCO3G SO4²G NOG3 1.000 0.100 0.314 0.513 1.000 0.285 0.214 1.000 0.475 1.000 ClG HCO3G SO42G NO3G 1.000 0.391 0.273 0.163 1.000 0.778 0.128 1.000 0.397 1.000 Res. J. Environ. Earth Sci., 4(3): 207-214, 2012 higher values in the wet season are attributed to leaching of iron (Fe) from soil material into the water table as water level increases alongside increase in precipitation. A reverse scenario for the dry season is related to precipitation of iron compounds with decrease or recession of water levels and amount of rainfall. These are related to the prevailing pH-Eh (redox potential) of the waters (Hem, 1986). Manganese (Mn) concentrations ranged from 0.0050.443 mg/L. The mean values were 0.154 and 0.081mg/L for the dry and wet seasons. Concentration levels of Ni, Cr, Cd and Pb were also recorded. Mean values during the dry and wet seasons respectively for these elements are; Ni (0.001, 0.016), Cr (0.005, 0.012), Cd (0.001, 0.004), and Pb (0.002, 0.004) with all values in mg/L Trace metals have been known to be deposited by precipitation in particulate form, associated with washout of windblown dust or aerosols (Nriagu, 1996). Higher levels of trace metals are noticeable on the western flank of the study site, characterized by higher human population density. This trend could be adjudged to biodegradation of organic wastes with release of metal loads eventually leached into sub-surface waters. The western sector of the study area also has a history of small scale mining activities. Studies have shown however that metal concentrations in groundwater are diminished by influx of unpolluted waters and by removal of metals by adsorption and precipitation processes (Rosner, 1998; Paulson, 1999; Berger et al., 2000). These series of processes could be adjudged from the concentration levels of metals which are within permissible limits of WHO (2001) standard for potable water. (Mg)-HCO3, Ca(Mg)-Cl and Na-K-Cl in the dry season. In the wet season the controlling species are Na(K)-HCO3 and Na(K)-SO4. Na and Cl exhibit a very subtle coefficient of 0.42 in the dry season. A rather significant but negative correlation exist between Na+ and SO42G. This could be from glauberite, possibly associated with evaporites from the sedimentary terrain in close proximity. Chloride and sulphate increase from the dry to the wet seasons. Sulphate behaves as a mobile ion in relatively oxidizing groundwater environment except in conditions of oversaturation of gypsum or anhydrite (Michard et al., 1996). This mobile SO42G could enhance CEC, leading to dissociation of NaCl waters from crystalline basement or other sources (Pearson et al., 1989). Hydro chemical modeling: The modeling package PHREEQC (Parkhurst, 1995) and VISUAL-MINTEQ were used to calculate distributions of aqueous species and mineral saturation indices using the measured ground and surface water compositions. The employment of VISUAL-MINTEQ as a complimentary modeling tool was due to its more extensive database of mineral and aqueous species for interpretation purposes, in comparison to PHREEQC. Mineral equilibrium calculations for groundwater are useful in predicting the presence of reactive minerals in groundwater system and estimating mineral activity; (Taylor et al., 1996; Deutsch, 1997; Zhu et al., 2008).The groundwater or solution is considered to be in equilibrium with regards to a particular mineral if the saturation index (SI) = 0. It is considered to be undersaturated if SI<1 and oversaturated if the SI>1. Correlation matrices: Pearson correlation matrix is normally used to find relationships between two or more variables. Variables showing r>0.7 are considered to be strongly correlated, whereas r>0.5-0.7 shows moderate correlation at a significance level (p) of <0.05 (Table 4 and 5). Correlation of samples from the dry season shows that there exist, a significant positive correlation between the following parameters; electrical conductivity (EC), TDS with potassium (K). A moderate positive correlation, exist between Ca-Mg, HCO3, Cl; Mg-EC, TDS, Na and Na-K, NO3 . Correlation analysis of wet season samples reveals a significant positive correlation for EC with TDS and HCO3 G, Mg HCO3G. Moderate positive correlation exist between; EC-SO4, Mg-Ca, K and negative for Na-HCO3, SO4. The major exchangeable ions Ca-Mg and Na-K correlate positively with correlation coefficients found to be within same order across sampling seasons. It can therefore be said that the concurrent increase or decrease in the cations is the result mainly of ion exchange effects. The recognizable chemical species association controlling the groundwater types from correlation results are; Ca Predicted aqueous species: Metals can exist in water as many aqueous species and the type(s) of species can effect mineral solubility, adsorption/desorption behavior and possibly bioavailability. The predicted predominant aqueous species from hydrochemical modeling are given below for the metals measured and detected in groundwater samples. Iron: Iron existed in many aqueous species which included; Fe2+, FeO(OH), Fe2O3, FeHCO3, FeSO4(aq), FeCO3, FeOH+(aq), FeCl+, FeHSO4+, FeCl3, Fe3(OH)45+ and Fe(OH)3G. Fe2+ was the dominant specie constituting about 94%. Other species FeHCO3 and FeSO4(aq), constituted (<6%) and (<2%), respectively. According to Reimann and Caritat (1998) Fe is toxic to humans in drinking water at levels of >200mg/L. For the Eh-pH systems [(Fe-O-H), (Fe-C-O-H), (Fe-Si-O-H), (Fe-O-HSi), (Fe-C-Si-O-H); Brookins (1988)], under the prevailing Eh-pH condition, Fe2+ is immobile. Its mobility will further be hindered in the area by precipitation as Fe oxides (hematite, magnetite), oxyhydroxides (goethite) and other co-precipitating metal phases (Edet et al., 2004). 211 Res. J. Environ. Earth Sci., 4(3): 207-214, 2012 Nickel showed a near equal concentration of the various aqueous species in most samples. Speciation of cadmium appeared to be dependent on pH for the various samples with no predominance of a particular species, but contents of Cd, its carbonate and chloride were common in most samples. Chromium with minimal concentrations in most samples, exhibited a predominance predicted to be Cr2+. Free metal species are the most bio-available and toxic form of trace elements that exist in natural water (Apte et al., 1995). The presences of considered metals as free ions are relatively mobile under prevailing Eh-pH conditions. Their low concentrations in addition to the presence of limiting mineral phases (carbonates and sulphates) reduce the risk of their contamination to groundwater. Manganese: The various species of manganese were, Mn2+, MnHCO3, MnSO4, MnCO3(aq), MnCl, Mn(OH)42G, Mn2(OH)3, MnCl2, Mn(NO3)2(aq) and Mn3+. Mn is nontoxic and the dominant phase was the ionic Mn2+ accounting for over 88% in the groundwaters. Lesser to this was MnHCO3 constituting <6%. Under the present pH- Eh of the groundwater, Mn2+ is immobile posing no problem in the area. Nickel: The Ni species in the groundwater were, Ni2+, Ni(OH)2(aq), Ni(OH)3G, Ni(SO4)22G, NiCl, NiCl2(aq), NiCO3(aq), NiHCO3G and NiOH, NiSO4(aq). Nickel showed a near equal concentration of the various aqueous species in the groundwaters. Ni2+ compounds are non-toxic (Reimann and Caritat, 1998) and its immobility under the present pH-Eh condition, Ni does not pose any threat to the groundwaters in the area. Mineral saturations states and control on groundwater composition: Mineral saturation states were calculated as part of the output from the modeling programs. They are useful for indicting what minerals might be dissolving or precipitating into or from groundwater, or controlling the groundwater composition. The calculations are based on an equilibrium model, so the results are only an indication, as kinetic factors may inhibit approach to equilibrium. The minerals which exhibited oversaturation (SI>1) were; goethite, hausmanite, hematite, jarosite-k, manganite, pyrochroite, pyrolusite and ferrihydrite, Fe(OH) . These species can be said to be supersaturated as they exhibited saturation of up to 10 orders of magnitude or more (i.e., SI>10 +). These were basically oxides, hydroxides and hydrated oxides of Fe and Mn, (Ekwere, 2010). Undersaturated mineral phases included the following; anhydrite, aragonite, calcite, dolomites, gypsum, rhodochrosite, siderite, melanterite and the vast species from the analyzed elements. These included carbonates, sulfates as well as chlorides. The waters were unsaturated or less supersaturated with respect to most of the minerals, reasons largely differences in physicochemical conditions. Reactions of groundwater with, CO3 and SO4 minerals are often expected to reach equilibrium within years in the aquifer. This however depends on the abundance of such mineral phases within the porous media. The modeling indicates that groundwater compositions are controlled by a complex set of minerals and processes. Dissolution, precipitation and cation exchange are the dominant of the processes within groundwater systems. Some elements tend to be controlled by mineral solubilities and equilibrium processes. Others invariably are controlled either by unknown minerals or kinetic reactions. Some elements e.g., Fe, are controlled by mineral solubilities and equilibrium processes, though not directly important to Lead: Species of lead (Pb) in the groundwaters included; [Pb2+, Pb(CO3)22+, Pb(NO3)2(aq), Pb(OH)2(aq), Pb(OH)3G, Pb(SO4)2, Pb2OH3, Pb3(OH)42+, Pb4(OH)44+, PbCl, PbCl2(aq), PbCl3G, PbCl42+, PbCO3(aq), PbHCO3+, PbNO3+, PbOH+, PbSO4(aq)]. The dominant dissolved specie was Pb2+ constituting > 70% of all species. Pb(CO3)22+ and PbCl are in the range of 2-17% and >8%, respectively. The distributions of the species show no marked difference for the various groundwater types. Pb2+ appears to be mobile but however poses no problem of contamination as Pb is low (mean 0.079 mg/L) and PbCO3 will restrict its mobility (Edet et al., 2004). Cadmium: The major ionic species of Cd in the groundwaters is Cd2+. Other species were, Cd(NO3)2(aq), Cd(CO3)22G, Cd(OH)2(aq), Cd(OH)3G, Cd(OH)42G, Cd(SO4)22G, Cd2OH3+, CdCl+, CdCl2(aq), CdCO3(aq), CdHCO3+, CdNO3+, CdOH+ and CdSO4(aq). Speciation of cadmium appeared to be dependent on pH for the various samples with no predominance of a particular species, but mixtures of Cd and its carbonate and chloride were common in most samples. At present Ph-Eh condition, Cd2+ which is toxic and carcinogenic is immobile and if present in high concentrations may be adsorbed by clay, thus reducing its danger potential (Edet et al., 2004). Chromium: Chromium with minimal concentrations in most samples, exhibited a predominance predicted to be Cr2+. The only other specie was CrOH+. This potentially toxic element is immobile posing no threat to groundwaters as its content was low at a mean of 0.009 mg/L. Iron exist as many aqueous species, but the predominant ones were invariably predicted to be siderite, goethite, haematite, ferrihydrite and Fe. Manganese had hausmanite, manganite, pyrochroite and pyrolusite as predominant species. Lead in aqueous form was predicted to be distributed in several species, but Pb2+, aqueous Pbsulphate and carbonate made up a greater percentage. 212 Res. J. Environ. Earth Sci., 4(3): 207-214, 2012 Edet, A.E., C.S. Okereke, S.C. Teme and E.O. Esu, 1998. Application of remote-sensing data to groundwater exploration: A case study of the Cross River State, SE Nigeria. Hydrogeol. J., 6: 394- 404. Edet, A.E. and C.S. Okereke, 2005. Hydrogeological and Hydrochemical character of the regolith aquifer, Northern Obudu Plateau, Southern Nigeria. Hydrogeol. J., 13: 391-415. Edet, A.E., B.J. Merkel and O.E. Offiong, 2004. Contamination risk assessment of fresh groundwater using the distribution and chemical speciation of some potentially toxic elements in Calabar (Southern Nigeria). Environ. Geol. 45: 1025-1035. Ekwere, A.S., 2010. Hydrogeological and hydrogeochemical framework of the oban massif, south-eastern Nigeria. Ph.D. Thesis, Department of Geology, University of Calabar, Calabar, Nigeria. Ekwueme, B.N., 1990. Rb-Sr ages and petrologic features of Precambrian rocks from the Oban massif, SouthEastern Nigeria. Precamb. Res., 47: 271-286. Ekwueme, B.N., 2003. The Precambrian geology and evolution of the Southeastern Nigerian basement complex. University Calabar Press, pp: 135. Hem, J.B., 1986. Study and interpretation of chemical characteristics of natural water. US Geological survey water supply paper 2245, pp: 263. Langmuir, D., 1997. Aqueous Environmental Geochem. Prentice Hall, Inc. Upper Saddle River, New Jersey, pp: 07458. Michard, G., F.J. Pearson Jr. and A. Gautschi, 1996. Chemical evolution of waters during long term interaction with granitic rocks in Northern Switzerland. Appl. Geochem., 11: 757-774. Matheis, G., 1982. The Properties of Groundwater. Wiley, New York. Nriagu, O.J., 1996. A history of global metal pollution. Sci., 272: 223-224. Parkhurst, D.L., 1995. Users guide to PHREEQC-A computer program for speciation, reaction-path, advective-transport and inverse geochemical calculations. US Geol. Survey Water Resource Inv. Rept., pp: 95-4227. Paulson, A.J., 1999. Modelling removal of Cd, Cu, Pb and Zn in acidic groundwater during neutralisation by ambient surface water and groundwaters. Environ Sci. Technol., 33: 3850-3856. Pearson, F.J., J.L. Lolcama and A. Scholtis, 1989. Chemistry of waters in the B ttsein, Weiach, Riniken, Schafisheim, Kaisten and Leugern boreholes: A hydrochemically consistent data set. NTB Nagra Baden, pp: 86-119, 102. Petters, S.W., C.I. Adighije, E.B. Essang and I.E. Ekpo, 1989. A Regional Hydrogeological Study of rural water supply options for planning and implementation of phase II rural water programme in Cross River State, Nigeria. Rept. for Direct of Rural Devt. CRSG, Nigeria. water quality, they can affect the precipitation or dissolution of other more toxic elements, e.g., Pb and Ni. CONCLUSION The groundwater status alternates from slightly acidic to slightly alkaline from the dry to the wet seasons. The concentration of potentially toxic elements resulting from hydrochemical processes is low and may be diminished by influx of unpolluted water and removal of metal by adsorption and precipitation processes. Correlation shows major exchangeable ions, Ca-Mg and Na-K, to correlate positively, indicating cation exchange as one of the major dynamics of the hydrochemical status. Speciation calculations show that Fe, Mn, Ni, Pb, Cd and Cr are present as free ions and as series of other species in all the analyzed groundwater samples. The groundwater is super-saturated with respect to goethite, hematite, ferrihydrite, jarosite-k, hausmanite, manganite, pyrochroite and pyrolusite (basically oxides and hydroxides of Fe and Mn). However the low concentrations of these metals in addition to the presence of limiting mineral phases (carbonates and sulphates) reduce the risk of their contamination to groundwater within the study area. REFERENCES APHA, 1995. Standard Methods for the Examination of Water and Waste Water. 19th Edn., Washington. Apte, S.C., W.I. Benko and G.M. Day, 1995. Partition and complexation of copper in the Fly River, Papua New Guinea. J. Geochem., Explor., 52: 67-79. Ayi, N.E., 1987. Geology and Geochemistry of the Eastern part of the Oban massif. M. Sc Thesis, Dept. of Geology, University of Calabar, Calabar, Nigeria. Berger , A.C., C.M. Bethke and J.L. Krumhansl, 2000. A process model of natural attenuation in drainage from historic mining district. Appl. Geochem., 15: 655666. Brookins, D.G., 1988. Eh-pH Diagrams for Geochemistry. Springer Berlin Heidelberg, New York. Cross River State Government (CRSG), 1989. Report on Preliminary Investigation of Economic Mineral Occurrences in Oban-Obudu Basement Complex. Cross River State, Nigeria, pp: 75. Deer, W.A., R.A. Howie and J. Zussman, 1992. An Introduction to the Rock Forming Minerals. John Wiley & Sons, New York. Deutsch, W.J., 1997. Groundwater Geochemistry, Fundamentals and Applications to contamination. Lewis Press, New York. 213 Res. J. Environ. Earth Sci., 4(3): 207-214, 2012 Reimann, C. and P. Caritat, 1998. Chemical Elements in the Environment: Fact Sheets for the Geochemist and Environmental Scientist. Springer, Berlin Heidelberg, New York, pp: 398. Rosner, U., 1998. Effects of historical mining activities on surface water and groundwater-an example from northwest Arizona. Environ. Geol., 33: 224-230. Taylor, J.R., T.R. Weaver, D.C. McPhail and N.C. Murphy, 1996. Characterization and impact assessment of mine tailings in the King River System and delta, Western Tasmania. Final Repot: Project No. 5 Mt. Lyell Remediation Res. and Demonst. Program. WHO, 2001. Guidelines for Drinking Water Quality. 3rd Edn., WHO/EO/20.1. WHO, New York, pp: 283. Zhu, G.F., Y.H. Su and Q. Feng, 2008. The hydrochemical characteristics and evolution of groundwater and surface water in the Heihe River Basin, northwest China. Hydrogeology J., 16: 167-182. 214