Hydrological foretelling uncertainty evaluation of water balance components and sediments yield using a multi-variable optimization approach in an external Rif’s catchment. Morocco

Ouallali, Abdessalam; Briak, Hamza; Aassoumi, Habiba; Beroho, Mohamed; Bouhsane, Naima; Moukhchane, Mohamed

doi:10.1016/j.aej.2020.02.017

Cited by 23 publications

(10 citation statements)

References 46 publications

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“…We will use these results in the same region by integrating them into an agro-hydrological modelling system in order to estimate and predict the impact of climate scenarios on water balance, sediment yield and agricultural practices ... etc. Moreover, we will apply the same approach for the same objective of a previous research that was carried out in the Northern Morocco watersheds ( Briak et al., 2016(b) ; Briak et al., 2019 ; Ouallali et al., 2020 ).…”

Section: Discussionmentioning

confidence: 99%

Analysis and prediction of climate forecasts in Northern Morocco: application of multilevel linear mixed effects models using R software

Beroho

Briak

Halimi

et al. 2020

Heliyon

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For many years, the application of mixed-effects modeling has received much attention for predicting scenarios in the fields of theoretical and applied sciences. In this study, a “new” Multilevel Linear Mixed-Effects (LME) model is proposed to analyze and predict multiply-nested and hierarchical data. Temperature and rainfall observation were carried out successively between 1979-2014 and 1984–2018; and the data input was organized on monthly basis for each year. Besides, a daily observation was made for “Dar Chaoui” zone of Northern Morocco. However, we chose in the first time a simple linear regression model, but the estimation has been just for fixed effects and ignoring the random effect. On the other hand, in multilevel linear mixed effects models, once the model has been formulated, methods are needed to estimate the model parameters. In this section, we first deal with the joint estimation of the fixed effects (β), random effects (ui) and then with estimation of the variance parameters (γ, ρ and σ 2 ). The study revealed that the predicted values are very close to the real value. Besides, this model is capable of modelling the error, fixed and random parts of the sample. Moreover, in this range, the results showed that there is three standard deviations measures for fixed and random effects, also the variance measure, which demonstrate us a great prediction. In conclusion, this model gives a decisive precision of results that can be exploited in studies for forecast of water balance and/or soil erosion. These results can also be used to inhibit the risk of erosion with possible arrangements for the environment and human security.

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Section: Discussionmentioning

confidence: 99%

Analysis and prediction of climate forecasts in Northern Morocco: application of multilevel linear mixed effects models using R software

Beroho

Briak

Halimi

et al. 2020

Heliyon

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“…For arid and semi-arid watersheds, calibration can be considered 'satisfactory' over a wide range of NSE values between 0.20 and 0.99 (Moriasi et al, 2007;Moriasi, Gitau, Pai, & Daggupati, 2015;Samimi et al, 2020). SWAT is widely and successfully used in semi-arid catchments in North Africa (Bouraoui et al, 2005;Briak et al, 2016Briak et al, , 2019Hallouz et al, 2017;Markhiet al, 2019;Ouallali et al, 2020;Zettam et al, 2017;Zettam, 2018).…”

Section: Discussionmentioning

confidence: 99%

“…Several studies have demonstrated the efficiency of the Soil and Water Assessment Tool (SWAT) model at predicting nitrates losses at catchment scale and evaluating the impacts of BMPs for developing adaptation strategies (Boithias, Srinivasan, Sauvage, Macary, & Sánchez-Pérez, 2014;Cerro et al, 2014;Fu, Merritt, Croke, Weber, & Jakeman, 2019). SWAT has been evaluated by several researchers in North Africa for run-off (Bouslihim, Rochdi, El Amrani Paaza, & Liuzzo, 2019;Khelifa et al, 2016;Mami, Yebdri, Sauvage, Mélanie, & Sánchez-Pérez, 2021), sediment yield (Briak, Moussadek, Aboumaria, & Mrabet, 2016;Hallouz, Meddi, Mahé, Alirahmani, & Keddar, 2018;Markhi, Laftouhi, Grusson, & Soulaimani, 2019;Ouallali et al, 2020;Zettam et al, 2017), climate and land-use scenarios (Azimi, Heshmati, Farahpour, Faramarzi, & Abbaspour, 2013;Brouziyne et al, 2018;Choukri et al, 2020) and nitrate yield (Bouraoui, Benabdallah, Jrad, & Bidoglio, 2005;Zettam, 2018;Zettam et al, 2020). Land management practices have also been evaluated using the SWAT model (Briak et al, 2019;Mtibaa, Hotta, & Irie, 2018), and are recommended as a way of reducing nitrate yield and nitrate flux at basin scale (Himanshu, Pandey, Yadav, & Gupta, 2019), mitigating nitrogen pollution at basin scale, and generating positive impacts for the economy, environment and public health.…”

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confidence: 99%

Efficiencies of best management practices in reducing nitrate pollution of the Sebdou River, a semi‐arid Mediterranean agricultural catchment (North Africa)

Zettam

Briak

Kebede

et al. 2021

River Research & Apps

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A major problem facing the water sector in Algeria is deteriorating water quality, which is strongly influenced by nutrient inputs to agricultural watersheds. To mitigate the effects of agricultural activities and enhance water quality, this study considered the impact of different best management practices (BMPs) in agriculture. The objective of the research was to evaluate the impacts of various agricultural BMPs on nitrate losses in the Sebdou catchment in north-west Africa using the Soil and Water Assessment Tool (SWAT) model in order to identify and recommend the most appropriate BMP. The study was carried out in two parts: first, the SWAT model was calibrated and validated to simulate discharge and nitrate losses at the outlet of the catchment, and second, the calibrated model was used to assess the effects of BMPs on nitrate losses. The hydrological modelling fitted well with the observed data for the calibration and validation periods (NSE between 0.63 and 0.65 and R 2 between 0.80 and 0.92). Nitrate simulation was also satisfactory (NSE = 0.58 and R 2 = 0.58), with the average nitrate exports at the outlet varying between 136 and 149 t N year À1 . Agricultural tillage practices were the main N input and plant uptake was the main N output. The simulation results of BMP scenarios (contour farming, strip cropping and terracing) showed a significant decrease in nitrate quantity in soil, nitrate yield in surface run-off and nitrate exports. The maximum reduction was observed from the use of parallel terraces, which reduced nitrate in soil by 17% (41 kg ha À1 ) and decreased nitrate flux exportation to below 133 t N year À1 (a reduction of about 11%). This study provided useful information for implementation of the most effective agricultural BMPs in the catchment for stakeholders who are interested in soil and water management.

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“…This model facilitates the assessment of sediment and water supply with optimal sensitivity parameters, and its main strength lies in ensuring the connectivity of hydrological systems within catchments. However, its application in Morocco is limited by the need for data measured by hydrometric stations over relatively long periods [19,20]. Other methods are based on a geographic information system (GIS) and remote sensing, such as the Revised Universal Soil Loss Equation (RUSLE) [21], Modified Universal Soil Loss Equation (MUSLE) [22], RUSLE-3D [23], and the Erosion Potential Method that is known as EPM [24] and which is a frequently used empirical model across the Balkan area, North Africa, and Europe along with the Middle East [25].…”

Section: Introductionmentioning

confidence: 99%

Assessment of the Erosion and Outflow Intensity in the Rif Region under Different Land Use and Land Cover Scenarios

Ouallali,

Kader,

Bammou

et al. 2024

Land

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The port of Tangier Med is essential due to its strategic location, as it is an important trading center linking Europe, North America, and Africa. However, the increased rates of downstream sediment transportation put pressure on the sustainable future of the port. Thus, assessing the existing erosion rates and future improvement scenarios is imperative for planning sustainable management at the catchment level. We utilize the Erosion Potential Model (EPM) combined with the Intensity of Erosion and Outflow (IntErO) algorithm to assess the erosion and outflow intensity and to distinguish the sediment-producing areas in the R’mel watershed. The port’s proximity at the bottom of the slope opposite the R’mel Dam is relevant in this context. Initial results show an average erosion rate of 13 t/ha/year. Quarry operations were identified as the primary sediment source, as indicated by the factors contributing to erosion. The qualitative PAP/RAC (Priority Actions Program/Regional Activity Center) model was used to assess the development trends in the watershed, confirming a clear tendency toward irreversible degradation in the quarry areas. Considering that the mined carbonate lithology represents 23.77% of the total area of the catchment, the situation in the region could deteriorate if quarry operations continue. The simulation of quarry rehabilitation scenarios through land use and land cover change (LULC) with IntErO shows that reforestation of quarries can significantly reduce erosion rates (4.78 t/ha/year) compared to their conversion to agricultural land. This study underlines the effectiveness of IntErO, based on the EPM model, in quickly and effectively mapping and quantifying water erosion.

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Hydrological foretelling uncertainty evaluation of water balance components and sediments yield using a multi-variable optimization approach in an external Rif’s catchment. Morocco

Cited by 23 publications

References 46 publications

Analysis and prediction of climate forecasts in Northern Morocco: application of multilevel linear mixed effects models using R software

Analysis and prediction of climate forecasts in Northern Morocco: application of multilevel linear mixed effects models using R software

Efficiencies of best management practices in reducing nitrate pollution of the Sebdou River, a semi‐arid Mediterranean agricultural catchment (North Africa)

Assessment of the Erosion and Outflow Intensity in the Rif Region under Different Land Use and Land Cover Scenarios

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