The general downward trend in rainfall in West Africa since the 1970s has favored long periods of drought. The rainfall decrease has not only caused the depletion of water resources, but has also led to a disruption of the runoff regime of rivers. The objective of this study is to carry out a spatial and temporal characterization of the rainfall regime in the Bagoé watershed over the period from 1928 to 2000 in order to analyze its influence on the rivers runoff to better predict adaptation solutions. Statistical approaches and a GIS were used to characterize the rainfall variability which was then analyzed in relation to the runoff regime of rivers over the period from 1961 to 1986. The average annual precipitation recorded is 1397.04 mm with two dry periods (1928-1949 and 1976-2000) which frame the only wet period (1950-1975). A secondary rainfall rupture in 1949 and a principal rainfall rupture in 1975 were highlighted. The principal rainfall rupture in 1975 suggests a significant drop in precipitation from 1976 to 2000 marked geo-spatially by the predominance of 1100 mm and 1200 mm isohyets during the decade 1991-2000. This drop in rainfall led to a decrease in the water flow of rivers, also due to hydraulic activities in the basin. Adaptation solutions should therefore be found in the planning of development projects.

Fractured aquifers of gneiss are the main drinking water sources for population living in the north area of Alépé. Neglecting geochemical monitoring of such groundwater is able to deliver water consumers taking unacceptable risks. The quality of water from bedrock in terms of taste can lead people to drink surface water whose chemical quality is lower in comparison with the reference quality. The aim of this study is to estimate the major cations concentration of gneiss groundwater in which mineralization was almost due to silicate hydrolysis. To achieve the aim in view, a study of main mineral of the gneiss aquifer was carried out and a geochemical simulation through inverse modeling by PHREEQCI code was applied on water rock process. The study showed that the main silicate minerals of gneiss that contained major cations were albite, K feldspar, plagioclases and amphibole. The dissolution mean rates of minerals able to increase groundwater mineralization by hydrolysis were 1.3 x 10-5 mol L-1 for K-feldspar, 3.8 x 10-4 mol L-1 and 1.0 x 10-4 mol L-1 for oligoclase and amphibole (ferro-tshermakite), respectively. Through these results, it shown that oligoclase would be the mineral more favourable for hydrolysis among feldspars studied in the gneiss. In gneiss groundwater, sodium was mainly supplied by oligoclase, potassium was supplied by K-feldspar and ferro-tshermakite, magnesium was supplied by ferro-tshermakite only and calcium was supplied by oligoclase and ferro-tshermakite.

The layers lithology traversed by Abouabou drilling was studied using successively 32 samples to a depth of about 240 m. The log established indicates a high level of clay about 63 m, the bottom to the surface. This level is followed by alternating average levels (about 26 m) of sandy clays and sands rich in limestone, with a thickness of 72 m. This assembly is surmounted by average to low levels sandy (40 to 09 m), with calcareous intercalation to the surface. These sands alternate with clay banks of 16 to 10 m. the grain size analyses show essentially coarse to very coarse sands. They have generally bad standings with a strong asymmetry to the fines. Although their characteristics argue for a reduction in their water holding capacity, these sandy levels are still favorable hydrogeological tanks.

The objective of this study is to develop statistical models to predict the depth limit stop of water drilling in crystalline and crystallophyllian rocks using physical parameters of drilling. The study was conducted using data from physical parameters (depth of drilling, depth of the first water supply significant, alteration thickness and thickness of base drilled) from geological units of Archean and Paleoproterozoïcal domains of Ivory Coast. The methodology consisted of first analyze the physical parameters from the simple statistical features and frequency class distribution of these parameters. Then, a normalized principal components analysis (NPCA) was applied for the identification of explanatory variables relevant and expressive of drilling depth limit. Finally, a calibration was performed with a sample of 1,605 wells representing two thirds of the total sample to determine the coefficients of the linear regressions and the associated standard errors. The analysis of the distribution of physical parameters of drilling shows that only the depth of drilling is homogeneous (24.50%) with an average of 68.17 m. The most relevant and expressive variables for predicting the depth limit stop of water drilling in crystalline and crystallophyllian rocks are the depth of the first significant water arrival and the thickness of alteration. The errors associated with the regression coefficients generally low (below 1%) reflect the close relationship between the dependent variables and the explanatory variables. Two models for predicting the depth limit stop of water drilling (PROLIFE models) in crystalline and crystallophyllian rocks were developed.

The objective of this study is to develop statistical models to predict the drilling flow on rock aquifers. The study area is the former region of N'zi-Comoé (Central-East of Ivory Coast) that is located between longitude 3° 40' and 4°55' West and latitude 6° 20' and 8°10' North. The geological formations are composed of igneous rocks and metamorphic rocks. The methodology has been first applied to the approach of principal component analysis normalized, for identifying relevant and expressive variables of the drilling flow. Then, a calibration was performed with a sample of 100 drillings representing two thirds of the total sample to determine the coefficients of linear regressions and associated standard errors. Finally, an evaluation of the developed models was performed using the criteria of performance and robustness. The most relevant and expressive variables for modeling the drilling flow are the transmissivity, the thickness of healthy base drilled, the depth of the first significant water inlet and the total number of water inlet. Thus, two models were developed. Models assessment shows that they are performing with correlation coefficients ranging around 0.7, biases varying between 10-7 and 10-2 and quadratic errors in the order of 2.5 to 2.9. These models have also demonstrated their robustness with rates fluctuating between 3.2 and 5.3%. However, the model 2 is more efficient and more robust than model 1.