Papers by Mourad Guesri
Glasnik Srpskog geografskog društva, Dec 31, 2022
The current research examines the runoff response in the Bouhamdane watershed in Algeria using th... more The current research examines the runoff response in the Bouhamdane watershed in Algeria using the soil and water assessment tool (SWAT). The SWAT model is applied for the Bouhamane watershed, which includes three sub-watersheds and 45 Hydraulic Response Units (HRUs). To assess the ability and effectiveness of the model, one-gauge station in the basin (sabat) was chosen. Monthly discharge flow data are sourced from Algeria's National Water Resources Agency (NWRA). The soil and water assessment tool calibration uncertainty programs (SWAT-CUPs) with the sequential uncertainty fitting (SUFI 2) algorithm were used to calibrate and validate the model. The model was run from 1985 to 2004, with a calibration period between 1985 and 1994 and a validation period between 1995 and 2005. The model's runoff simulation efficiency has been improved by adjusting watershed input parameters. The SWAT model's performance was assessed statistically (coefficient of determination [R2], Nash-Sutcliffe Efficiency Coefficient [NSE], and Percent BIAS [PBIAS]). The monthly calibration R2, NSE, and PBIAS were 0.89, 0.68, and 43, respectively, and the monthly validation R2, NSE, and PBIAS were 0.78, 0.76, and 10.4, respectively. These results support that the SWAT model is an effective tool for simulating the surface runoff of the Bouhamdane watershed.
Arabian Journal of Geosciences, Mar 29, 2020
In semiarid areas, rainfall is often intense on dry soils with poor vegetation which might lead t... more In semiarid areas, rainfall is often intense on dry soils with poor vegetation which might lead to high soil erosion susceptibility. Therefore, an appropriate assessment of the rainfall erosivity is of particular importance due to negative effects caused by top soil depletion and excessive sediment loading to receiving waters of reservoirs. The present study was conducted on the Wadi K'sob watershed (1480 km 2) in northeast Algeria with an aim to examine the rainfall erosivity. The calculation of such an index is based on rains exceeding a specific threshold and requires rainfall data with a fine temporal resolution, which, often, are rare or difficult to acquire. The examination of daily rains occurring before a flood event carrying sediment load showed a spatial variability of the thresholds of rainfall erosivity. The seasonal values of the thresholds are low and lying between 2 mm in summer and 6 mm in winter, highlighting an erosivity process characteristically high in semi-arid regions. Empirical relationships, established at seasonal scale, were proposed as an alternative solution to the R-index calculation derived from the Revised Soil Loss Equation. The determined models allowed us to simulate the erosivity of rainfall events as a function of daily rain. Between 68 and 78% of the variance of rainfall erosivity is explained by the daily rainfall giving rise to an erosive rainfall event. Then, the spatial mean of the annual erosivity index fluctuated between 228 and 386 MJ mm ha −1 h −1 year −1 with an interannual average of 302 MJ mm ha −1 h −1 year −1 , which if underestimated by 6%, the erosivity index quantified according to the Revised Universal Soil Loss Equation. Rainfall erosivity is the determining factor in sediment yield with a different degree of binding during the year. In autumn, 68% of the variance in sediment production is explained by rainfall erosivity, compared with only 42% in spring due to changes in soil conditions, including the presence of a vegetation cover that protects the soil against rainfall erosivity.
Rainfall erosivity and sediment yield in Northeast Algeria: K’sob watershed case study, Apr 2020
In semiarid areas, rainfall is often intense on dry soils with poor vegetation which might lead t... more In semiarid areas, rainfall is often intense on dry soils with poor vegetation which might lead to high soil erosion susceptibility. Therefore, an appropriate assessment of the rainfall erosivity is of particular importance due to negative effects caused by top soil depletion and excessive sediment loading to receiving waters of reservoirs. The present study was conducted on the Wadi K’sob watershed (1480 km2) in northeast Algeria with an aim to examine the rainfall erosivity. The calculation of such an index is based on rains exceeding a specific threshold and requires rainfall data with a fine temporal resolution, which, often, are rare or difficult to acquire. The examination of daily rains occurring before a flood event carrying sediment load showed a spatial variability of the thresholds of rainfall erosivity. The seasonal values of the thresholds are low and lying between 2 mm in summer and 6 mm in winter, highlighting an erosivity process characteristically high in semi-arid regions. Empirical relationships, established at seasonal scale, were proposed as an alternative solution to the R-index calculation derived from the Revised Soil Loss Equation. The determined models allowed us to simulate the erosivity of rainfall events as a function of daily rain. Between 68 and 78% of the variance of rainfall erosivity is explained by the daily rainfall giving rise to an erosive rainfall event. Then, the spatial mean of the annual erosivity index fluctuated between 228 and 386 MJ mm ha−1 h−1 year−1 with an interannual average of 302 MJ mm ha−1 h−1 year−1, which if underestimated by 6%, the erosivity index quantified according to the Revised Universal Soil Loss Equation. Rainfall erosivity is the determining factor in sediment yield with a different degree of binding during the year. In autumn, 68% of the variance in sediment production is explained by rainfall erosivity, compared with only 42% in spring due to changes in soil conditions, including the presence of a vegetation cover that protects the soil against rainfall erosivity.
Thesis Chapters by Mourad Guesri
Influence de la variabilité climatique sur la production des sédiments, 2021
L’érosion du sol est un phénomène naturel qui rend compte de certains processus (détachement des ... more L’érosion du sol est un phénomène naturel qui rend compte de certains processus (détachement des particules, transport et dépôt) induits par différents agents érosifs. Dans les zones semi-arides, les précipitations sont souvent intenses sur les sols secs à végétation pauvre, ce qui peut entraîner une forte susceptibilité à l'érosion des sols. Par conséquent, une évaluation appropriée de l'érosivité des précipitations revêt une importance particulière en raison des effets négatifs causés par l'épuisement de la couche superficielle du sol et la charge excessive de sédiments dans les eaux réceptrices des réservoirs. La présente étude a été menée sur le bassin versant de l’Oued K'sob situé au Nord-Est de l'Algérie, dans le but d’étudier l’influence la variabilité climatique sur la production des sédiments. Le bassin draine une superficie de 1480 km² située entre les altitudes 585 et 1888 m. L’Oued principal s’écoule sur une longueur 73 km et alimente le barrage K’sob d’une capacité initiale de 29.5 Mm3, mis en service en 1940. La région d’étude présente un climat semi-aride à tendance continentale avec un hiver relativement pluvieux et un été sec et chaud, avec une pluie moyenne interannuelle est de 340 mm. La construction des courbes IDF a permis de déterminer un exposant climatique de la région, b=0.75. Pour l’érosivité des précipitations, le calcul d'un tel indice est basé sur les pluies dépassant un seuil spécifique et nécessite des données pluviométriques avec une fine résolution temporelle, qui, souvent, sont rares ou difficiles à acquérir. L'examen des pluies quotidiennes survenant avant une inondation portant une charge sédimentaire a montré une variabilité spatiale des seuils d'érosivité des précipitations. Les valeurs saisonnières des seuils sont faibles et se situent entre 2 mm en été et 6 mm en hiver, ce qui met en évidence un processus d'érosivité typiquement élevé dans les régions semi-arides. Des relations empiriques, établies à l'échelle saisonnière, ont été proposées comme solution alternative au calcul de l'indice R dérivé de l'équation révisée des pertes en sol. Les modèles déterminés ont permis de simuler l'érosivité des événements pluvieux en fonction de la pluie quotidienne. Entre 68 et 78 % de la variance de l'érosivité des précipitations s'explique par la pluie quotidienne donnant lieu à un événement pluvieux érosif. Ensuite, la moyenne spatiale de l'indice d'érosivité annuel a fluctué entre 228 et 386 MJ mm ha-1 h-1 an-1 avec une moyenne interannuelle de 302 MJ mm ha-1 h-1 an-1, ce qui a sous-estimé de 6% l'indice d'érosivité quantifié selon l'équation universelle révisée de perte de sol. L'érosivité des précipitations est le facteur déterminant du rendement en sédiments avec un degré de fixation différent au cours de l'année. En automne, 68 % de la variance de la production de sédiments s'explique par l'érosivité des pluies, contre seulement 42 % au printemps en raison des changements des conditions du sol, notamment la présence d'une couverture végétale qui protège le sol contre l'érosivité des pluies.
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Papers by Mourad Guesri
Thesis Chapters by Mourad Guesri