the DRASTIC method was chosen because it can be adapted to different environments and because it combines the seven criteria that directly influence groundwater: depth, recharge, geology, soil, slope, unsaturated zone and conductivity. Located in the North West of Morocco, the Temara aquifer is a very important water resource, but it is overexploited and deteriorated as never before. This issue is of concern to decision-makers in the field of water management. The objective of this work is to create a map of vulnerability to pollution by the Bay of Geographic Information Systems (GIS) and the DRASTIC model. Thus, the highest vulnerabilities are located around the drinking water treatment plant of Ain Atiq, at the mouth of the Bouregreg River and scattered in places throughout the study area. The results of the physico-chemical analysis showed compatibility with the results of the DRASTIC model.
Water is a major strategic issue and a key factor in sustainable development for all countries around the world. In Morocco, groundwater has a major importance in the national economic policy. For this reason, sustainable water resources management programs are periodically installed to prevent their qualitative and quantitative degradation, which conditions future development and is part of the research strategy to optimize and mitigate environmental problems. The Temara water table, which extends over nearly 350 km 2 is part of these water resources that must be preserved. This issue is of increasing concern to researchers and decision makers in the field of water resources management. The hydrochemical study carried out on 48 samples taken in the study area during a sampling campaign carried out during the low water period showed that the water table has facies of chloride and sulphate calcic and magnesian type according to the Piper diagram. While the classification diagrams of Wilcox and Richards waters revealed the suitability of these waters for irrigation except for some points that present high contents of Nitrate (NO 3 -), Magnesium (Mg 2+ ), Sulphate (SO 4 2-) and Chloride (Cl -), linked to both the lithological nature of the enclosing formations and the effect of the agricultural activity which induces the phenomenon of return of irrigation water loaded with salts from the fertilizers used, towards the water table.
The objective of this study is to detect land cover changes in fact of flood risks, with using a new method, fast and efficient. This technique needs only a diachronic satellite images in input data. The variability of reflectance spectral indexes is a characteristic of land cover changes. For applying this theory, we were including four spectral indexes those look on the principal indicator for land cover changes which are (Brightness index, Color index, Salinity index and clay index). To applying this method, we choose the Souss Massa basin as a study area. In 2014, this basin especially rounded of Guelmim city was affected by floods which caused a lot of damages in different ecosystems. Another step is used in the laboratory to validate our procedure; we talk about the physic-chemical analysis of land cover taken in two different dates, before and after floods. …………………………………………………………………………………………………….... Introduction:-Availability increased free download data of remote sensing has allowed to make environmental studies much more temporal multi easy. A huge advantage has summer for the study of the degradation of soils under the effect dare floods and erosion of the soil. This decline in the quality of the soil leads to a reduction of productivity land that is more uniform, the same landscape lies in a deteriorated condition. The space images provide an effective way for the management costs of this degradation direct on the ground then the methods are expensive and tedious (Mumby et al, 1999). Thus, this information extracted on the land cover, using remote sensing and geographic information systems tools, provide data on a large scale and to better identify the areas exposed to the risk of change with their geographical distribution (Yuan et al.., 2005).Previous studies on the detection of land cover changes, using remote sensing and geographic information systems tools showed that there are several approaches to detect them.
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