In Morocco, irrigated agriculture is still very much linked to the climate and the water retention of dams. With climate change, this country is experiencing recurrent drought, which has led to deficits in water inflow from the rivers to the various dams. The Al Massira dam, the area of study, does not escape this trend. This dam is the only surface water source for the irrigated area of Doukkala. Therefore, special attention must be paid to monitoring this resource at this dam. Thus, the proposed study examined the possibilities offered by spatial remote sensing to improve the current information system. It aims to evaluate this dam’s reservoir by exploiting the data generated by using satellite images. The Landsat satellite images were used to assess the area of this dam by adopting an approach combining spectral indices with thresholding. Then, the existing relationship between the area of the dam lake were examined, determined by spatial remote sensing and its water retention measured in situ. The results obtained revealed a strong correlation between the two parameters. Therefore, a study was conducted to find the best model for predicting the dam’s impoundment based on its lake. The second-degree polynomial model showed a better performance. Given the results obtained, it is recommended to use geospatial methods in the current and prospective monitoring and steering system of water resources.
Studies assessing the environmental risks related to metal pollution in agricultural soils are lacking in the coastal area of Doukkala, with is one of Morocco’s most agricultural regions. To overcome the shortcomings of such studies, trace element (As, Cd, Pb, and Zn) analyses were carried out at four sampling points in agricultural surface soils, a total of sixty-six surface soil samples were raised with an auger at a depth of (0–20 cm) from the study area. This study examined the classification and levels of heavy metals in agricultural soil and applied the pollution score and ecological risk index to the Doukkala coastal area (Morocco). This study used pollution indicators, a geo-accumulation index, and potential ecological risk indices to examine the distribution and quantity of heavy metals in agricultural soils in the coastal region of Doukkala (Morocco). This study provides significant information for policymakers and environmental specialists to quantify soil contamination in the coastal area of Doukkala (Morocco).
This research aimed to determine the physicochemical characteristics and heavy metal concentrations of agricultural soils used for grape and wheat production in Morocco in the Mohammedia Benslimane area. The organic matter (OM) content ranged from 0.6% to 2.93%. The degree of total nitrogen was higher in the wheat plots than in the vine plots in the Mohammedia and Benslimane regions. Total nitrogen average rates ranged from 0.04 to 0.5% and from 0.07 to 0.8% in the vine and wheat plots. These results imply that the soil was silty clay and clay texture, neutral to slightly acidic at all stations. The P2O5 concentrations were 11.15 ppm and 68.14 ppm under the vine and the wheat plots, respectively, while the potassium concentration ranged from 33.1 to 287.9 ppm and from 26.9 to 184.75 ppm under the vine and the wheat plots, respectively. Furthermore, the concentrations of Cd at a few stations exceeded the standard value (2 ppm), reaching 10.375 ppm. The Pb and Zn concentrations were higher in vineyard plots than in wheat plots. The Pb and Zn concentrations were 20.22 ppm and 148.60 ppm, respectively. This study reports updated information on the states of eight stations in Mohammedia and Benslimane. However, further research is necessary to determine the pollution factors in local practice crops and naturally growing plants at these stations to assess their impact on livestock and humans.
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