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The renewable energy is the best energy potential to exploit, because they are economic, not pollutant and permanent. As a kind of renewable energy, geothermic which becomes more and more widely used in this field. In a geological setting regional on the effectiveness of the process solar thermal, offering a greater supply of geothermal energy, the study of Ghardaia's case are based on data of soil temperature and especially using local meteorological data, Accurate estimates of mean daily soil temperature (MDST) are needed. In this study, we will use the capability of Gaussian process regression (GPR) for modeling MDST using 3 years of measurement (2005-2008), in a semi-arid climate. It was found that GPR-model based on mean air temperature as input, give accurate results in term of mean absolute bias error, root mean square error, relative square error, and correlation coefficient. The obtained values of these indicators are 0.0021, 0.5036, 0.0029 and 100 %, respectively, which shows that GPR is highly qualified for MDST estimation in semi-arid climate.

This paper reports the results of our studies, the chemical analysis of thermal spring’s waters and their geological settings, the use of different statistical methods to evaluate the origin of the dissolved constituents of spring waters and the estimation of the reservoir temperature of the associated geothermal fields of the Guelma region, Algeria. A major component in 13 spring water samples was analyzed using various techniques. The waters of the thermal springs at Guelma basin vary in temperature between 20 and 94°C. Q-mode hierarchical cluster analysis suggests three groups. The water springs were classified as low, moderate and high salinity. Mineral saturation indices (SI) calculated from major ions indicate the spring waters are supersaturated with the most of the carbonate minerals, and all of the spring water samples are under-saturated with evaporite minerals. The thermal spring waters have a meteoric origin, and all samples are immature with strong mixing between warm and shallow waters, where the temperatures of reservoirs to which the thermal waters are related ranged between 64° and 124°C. The deep circulation of meteoric waters in the study area is supplied by the high geothermal gradient around 4.5°C per 100 m and reaches a high temperature before rising to the surface. The estimated circulation depths ranged from 1425 and 3542 m.

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