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Application of the Random Forest Model to Predict the Plasticity State of Vertisols

Al Masmoudi Yassine, Bouslihim Yassine, Doumali Kaoutar, El Aissaoui Abdellah, Namr Khalid Ibno

Journal of Ecological Engineering

2021

Vol. 22, nr 2

36--46

Vertisol plasticity is related to moisture content, and it requires an in-depth physicochemical characterization. This information allows us to use the land under the most adequate conditions and avoid soil physical degradation, especially its compaction. The objective of this study was to characterize the Vertisol in the Moroccan region of Doukkala-Abda and to predict soil plasticity based on the physicochemical parameters of soil, such as texture, electrical conductivity, Soil Organic Matter (SOM) and other chemical parameters for 120 samples. Determination of soil plasticity using Atterberg limits is a challenging and time-consuming method. Thus, this study aimed to develop a new model that can predict soil plasticity using the Random Forest algorithm. The soils presented homogeneity in the majority of physicochemical parameters, except a significant difference observed in the SOM and the electrical conductivity, which in turn influenced the soil plasticity state. The results showed significant and positive correlations between SOM, Soil Clay Content (SCC), Electrical Conductivity (EC), and plasticity in the Vertisol fields of the region. For the training phase, the model gave excellent results with a coefficient of determination of 0.995 and an RMSE of 0.164. Almost the same results were observed in the validation phase with a coefficient of determination of 0.974 and an RMSE of 0.361, which shows that the model succeeded in predicting plasticity in both phases. On the basis of these results, this model can be used for the plasticity prediction using other physicochemical parameters and the Random Forest Model. The prediction of soil plasticity is an important parameter to respect the timing of introducing machines/tools in the fields and avoid Vertisol degradation.

Multi-Site Calibration and Validation of SWAT Model for Hydrologic Modeling and Soil Erosion Estimation: A Case Study in El Grou Watershed, Morocco

Ait M'Barek Samir, Rochdi Aicha, Bouslihim Yassine, Miftah Abdelhalim

Ecological Engineering & Environmental Technology

2021

Vol. 22, iss. 6

45--52

Water management is one of the critical challenges facing humanity due to increasing demand and limited resources resulting from the rapid growth of population, urban planning, agricultural and industrial sectors. Hydrological modeling is one of the key solutions used by researchers for estimating and monitoring the spatial and temporal variability of water resources in a watershed. This paper aims to evaluate the Soil & Water Assessment Tool (SWAT) performances and simulates the water cycle components of El Grou watershed (3504 km2 ), one of the main basins in the landscape hydrology of Morocco. It points to the need for developmrent of better model input data sets in Africa which are unlimted available when they are crucial for a detailed study of water resources. The model was built under ArcSWAT, and all other processes such as sensitivity analysis, calibration (10 years) and validation (4 years) were done with SWAT-CUP software using the SUFI-2 algorithm. The coefficient of determination (R2), the Nash–Sutcliffe efficiency (NSE) and the square error (RSR) were used to evaluate model performances. The results show that calibration and validation are considered very good, with R2 and NSE >0.81 and RSR <0.5. The hydrological regime of the El Grou watershed points out a predominance of evapotranspiration (75%). Moreover, soil erosion estimation for the period (2000–2015) indicates a low to medium potential of soil erosion with an average of 11.3 t/ha/year.