The objective of this study is to analyses long-term trends and rainfall breaks in the Bandama River catchment. To achieve this objective, the study used data from nineteen (19) rainfall stations from 1950 - 2020. The methodology adopted was based on the Mann Kendall (classical and modified), Krusal Wallis and Cumulative Deviation statistical tests to detect and analyses significant changes in the rainfall series. The results show that 58% of the stations show a significant downward trend at the 5% risk without taking into account the Hurst effect, while with the Hurst effect only 32% of the stations show significant downward trends at the 5% risk. The breaks detected in this study oscillate around 1970 with a deficit ranging from -6% to 23 %. Furthermore, the Moran Index (MI) revealed a spatial dependence in the rainfall series of the catchment.
The drinking water supply of rural populations is mainly provided by groundwater contained in the fissured and discontinuous aquifers of the crystalline basement. The objective of this work is to evaluate the productivity of fissure aquifers according to the hydrodynamic and geo-structural characteristics in the Poro region. The data used concern the Thickness of Alterites (EA), the depths of the water inlets (AE), the nature of the crystalline basement, the Total depth drilled (Pt) and the different flow rates obtained during the pumping tests. These data come from. technical data sheets of 263 productive boreholes selected out of a total of 500 boreholes drilled during a vast village water supply campaign. A statistical analysis of the drilling and hydrodynamic parameters was carried out on the basis of the references drawn up by the Inter-African Hydraulics Committee (CIEH). The distribution of hydrogeological parameters in the Poro region reveals an uneven distribution of weathering thicknesses, flow and transmissivity. Regarding the average depth of water inlets, three distinct fringes are identified, namely 37 m, 44 m and 47 m deep. As for the litho stratigraphy; it highlights three distinct horizons and the construction of the transepts revealed the irregularity of the roof of the base with the presence of two major fractures, both in SW-NE direction. The hydrogeological study revealed that the productivity of the aquifers depends on the geology of the land. There is therefore a correlation between productivity and certain hydrodynamic parameters, in particular the thickness of alteration, the geology of the terrain and the depth of the fractured fringe.
This study aims to explain the dynamics of the local climate in southwestern of Côte d'Ivoire in a context of strong human pressure and climate variability. The methodological approach, based on the use of climate data an opportunity to discuss the impact of environmental change on natural resources. Southwestern Côte d'Ivoire has suffered a sharp change in vegetation cover. Since the climate out of 1970, the region observed spatiotemporal variation of rainfall regularly changing down. She sees an emphasis on the occurrence of extreme weather events, especially in terms of temperatures. These changes have resulted in a reduction of consecutive wet months and threatening storm agriculture practice in this area.
Schistosomiasis is a parasitic disease widespread in Côte d'Ivoire. Due to lack of attention, little is currently known about the pattern of the spread of schistosomiasis and the potential links with climate variability. The aim of this study to examine the relationship between the variability of climate parameters and the spatiotemporal distribution urinary schistosomiasis. The data used in rainfall, temperature and the number bilharzia cases recorded over the period 1996-2013. Overall, the results show a significant decrease of schistosomiasis in region Marahoué. The spatial distribution shows that large cities and areas near rivers and lakes are the most endemic. The analyzes indicate a decrease in schistosomiasis during the rainy season from april to july and increased during the dry season from december to march. In addition, a significant linear correlation was found between the annual mean maximum temperature (0.8 to Bouaflé, 0.66 and 0.34 to Sinfra Zuénoula).