Currently, many Pedotransfer Functions (PTFs) are being developed to predict certain soil properties worldwide, especially for difficult and time-consuming parameters to measure. However, very few studies have been done to assess the feasibility of using PTFs (regression or machine learning methods) for predicting soil aggregate stability. Also, the Random Forest (RF) method has never been used before to predict this parameter, and no study was found concerning the use of PTFs methods to estimate soil parameters in Morocco. Therefore, the current study was conducted in the three watersheds of Settat-Ben Ahmed Plateau, located in the center of Morocco and covering approximately 1000 km 2. The purpose of this study is to compare the capabilities of the machine learning technique (Random Forest) and Multiple Linear Regression (MLR) to predict the Mean Weight Diameter (MWD) as an index of soil aggregate stability using soil properties from two sources data sets and remote sensing data. The performance of the models was evaluated using a 10-fold cross-validation procedure. The results achieved were acceptable in predicting soil aggregate stability and similar for both models. Thus, the addition of remote sensing indices to soil properties does not improve models. Results also show that organic matter is the most relevant variable for predicting soil aggregate stability for both models. The developed models can be used to predict the soil aggregate stability in this region and avoid waste of time and money deployed for analyses. However, we recommend using the largest and most uniform possible data set to achieve more accurate results.
Analysis of 171 samples taken from the Neogene cohesive soils of the Southeastern edge of the Granada basin shows inverse correlation between carbonate content and dispersion index and swelling behaviour and direct correlations between carbonate content and shear strength. This paper shows that carbonate content and clay fraction activity have a great influence on the compaction characteristics of soils. Marls of the middle and upper Tortonian age ( lower marls) are inadequate for use as subgrade because of their high plasticity. In addition, marls of lower and upper Messinian age (upper marls) are inadequate for use as subgrade because of their high carbonate content. The relationship between carbonate content and geotechnical properties is particularly important because the changes caused by pedogenic dissolution and precipitation processes lead to changes in mechanical behaviour.
In recent years, the town of Settat has seen a considerable industrial growth, which has resulted in increased environmental pollution. This includes pollution by household and industrial wastewaters, which are released into the Boumoussa River without any preliminary treatment. The river valley crosses the community of Mzamza 8 km to the north of the town. Years of drought forced members of the community to use this polluted ground water for irrigation and put themselves and the environment at risk. The aim of this study was to determine the physicochemical and metal profi le of Settat wastewaters and to assess their impact on the water table. The second objective was to investigate the genotoxic potential of wastewater on human peripheral blood lymphocytes in vitro, using the micronucleus test and cellular proliferation index. This study demonstrated signifi cant pollution of Boumoussa valley groundwater and of the local wells. Sampled water induced a clear increase in the frequency of micronucleated cells and a lower cell proliferation in human peripheral blood lymphocytes in vitro.
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