Hydrological modeling of water and soil resources in the basin upstream of the Allal El Fassi dam (Upper Sebou watershed, Morocco)

Boufala, M’hamed; Hmaidi, Abdellah El; Chadli, Khalid; Essahlaoui, Ali; Ouali, Abdelhadi El; Taia, Soufiane

doi:10.1007/s40808-019-00621-y

Cited by 24 publications

(9 citation statements)

References 10 publications

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“…After finding the sensitive parameters on stream flow simulation it is important to identify key parameters and the parameter precision required for calibration [54]. To simulate the hydrological components of the watershed, the model validation proficiency was done using the calibrated parameters.…”

Section: Calibration and Validationmentioning

confidence: 99%

Hydrological Responses of Watershed to Historical and Future Land Use Land Cover Change Dynamics of Nashe Watershed, Ethiopia

Leta

Demissie

Tränckner

2021

Water

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Land use land cover (LULC) change is the crucial driving force that affects the hydrological processes of a watershed. The changes of LULC have an important influence and are the main factor for monitoring the water balances. The assessment of LULC change is indispensable for sustainable development of land and water resources. Understanding the watershed responses to environmental changes and impacts of LULC classes on hydrological components is vigorous for planning water resources, land resource utilization, and hydrological balance sustaining. In this study, LULC effects on hydrological parameters of the Nashe watershed, Blue Nile River Basin are investigated. For this, historical and future LULC change scenarios in the Nashe watershed are implemented into a calibrated Soil and Water Assessment Tool (SWAT) model. Five LULC scenarios have been developed that represent baseline, current, and future periods corresponding to the map of 1990, 2005, 2019, 2035, and 2050. The predicted increase of agricultural and urban land by decreasing mainly forest land will lead till 2035 to an increase of 2.33% in surface runoff and a decline in ground water flow, lateral flow, and evapotranspiration. Between 2035 and 2050, a gradual increase of grass land and range land could mitigate the undesired tendency. The applied combination of LULC prognosis with process-based hydrologic modeling provide valuable data about the current and future understanding of variation in hydrological parameters and assist concerned bodies to improve land and water management in formulating approaches to minimize the conceivable increment of surface runoff.

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Section: Calibration and Validationmentioning

confidence: 99%

Hydrological Responses of Watershed to Historical and Future Land Use Land Cover Change Dynamics of Nashe Watershed, Ethiopia

Leta

Demissie

Tränckner

2021

Water

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“…The storage capacity lost due to the siltation of dam reservoirs is estimated at 75 million m³ / year, which is equivalent to the loss of an average dam every two years [1]. This situation may be further accentuated by the increased degradation of soils and vegetation cover, which will lead to the erosion aggravation [2]. Water that fails to infiltrate and sinks to the soil surface is the agent of water erosion soil and transport of soluble soil components, including contaminants [3].…”

Section: Introductionmentioning

confidence: 99%

“…This situation may be further accentuated by the increased degradation of soils and vegetation cover, which will lead to the erosion aggravation [2]. Water that fails to infiltrate and sinks to the soil surface is the agent of water erosion soil and transport of soluble soil components, including contaminants [3]. It results from the detachment, under the effect of the kinetic energy of the drops of rain and the transport of particles of the soil of their original site by water, degrading the quality of water and the fertility of the soil and reducing the capacity of the dams [4].…”

Section: Introductionmentioning

confidence: 99%

“…Sub-Saharan Africa has a variable tendency towards erosion, so that Asia, Latin America and the Caribbean, the Near East and North Africa have adverse or awful erosion conditions and a tendency to deterioration. In the latter region, wind erosion is the leading cause of deplorable conditions soil and the propensity to the decline [3]. The emergence of remote sensing and geographic information systems (GIS) technologies is a significant solution for solving both the problem of data access and the implementation of spatialized models.…”

Section: Introductionmentioning

confidence: 99%

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Assessment of the risk of soil erosion using RUSLE method and SWAT model at the M’dez Watershed, Middle Atlas, Morocco

et al. 2020

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The preservation of soil resources is a primary global concern and a permanent challenge for all Mediterranean countries. In Morocco, the capacity of dam reservoirs continues to decline from one year to the next due to the rate of siltation, mainly due to the phenomenon of water erosion. Indeed, the origins of this erosion are generally related to land use planning, deforestation, agricultural practices and low vegetation cover. However, it is imperative to quantify soil erosion and its spatial distribution to achieve sustainable land use and governance of this resource. The SWAT hydro-agricultural model and the integrated RUSLE model were used to assess soil losses and characterize the degraded areas of the M’dez watershed, located in the upper Sebou, north of the Middle Atlas, and extend on an area of 3350 km2. The results obtained during this work show that the average soil losses estimated by the two models are consistent. For the SWAT model, the specific degradation of the watershed is estimated at 3.95 t/ha/year, whereas for the RUSLE model, the average loss of the basin is estimated at 2.94 t/ha/year). However, the use of these two models (SWAT and RUSLE), for the assessment and characterization of degraded areas at the level of Moroccan watersheds, has become a much sought-after approach for good soil conservation management.

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“…As an important tool to analyze the hydrological process of a river basin, the hydrological models have shown very strong capabilities in solving many problems such as water resource planning, flood control and disaster reduction, and nonpoint source pollution in recent decades (Boufala et al 2019;Wang et al 2019;Mahmoodi et al 2020;Rudra et al 2020). According to the different physical perfection of model structure and parameters, hydrological models can be divided into lumped conceptual models and distributed models based on physical mechanism.…”

Section: Introductionmentioning

confidence: 99%

Influence of multisite calibration on streamflow estimation based on the hydrological model with CMADS inputs

Song

Zhang

Lai

2021

Journal of Water and Climate Change

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Due to the spatial heterogeneity, the hydrological model calibration results only at the total outlet of the basin may not represent the whole basin. To more accurately simulate the historical streamflow process within the Qujiang River Basin, we set up three calibration strategies (single-site, S1; multisite simultaneous, S2; and multisite sequential, S3) for four hydrological stations based on the SWAT (Soil and Water Assessment Tool) model driven by CMADS (China Meteorological Assimilation Driving Datasets for the SWAT model). In addition, the implications of these calibration issues are extended to future streamflow projections using multimodel ensemble data in CMIP6 (Coupled Model Intercomparison Project Phase 6). In the model calibration phase, the SWAT model achieved very satisfactory results in the study area. Compared with S1 and S2, S3 can effectively improve the accuracy of streamflow simulation of stations within the basin and reduce the simulation deviation. Especially at the daily scale, the average NSE values of the four stations with S3 increased by 0.26 and 0.07, and the overall deviation decreased by 0.25 and 6.43%, respectively. Parameter sensitivity analysis also shows that spatial heterogeneity can be more adequately considered when using S3 to calibrate the model. As for the results of future streamflow projection, when using the S3, the average annual streamflow of four stations in the three climate scenarios from 2021 to 2050 is about 44.21, 130.00, 321.55 and 713.24 m3/s, respectively. Correspondingly, the use of S1 and S2 would bring certain risks to future water resource management.

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Hydrological modeling of water and soil resources in the basin upstream of the Allal El Fassi dam (Upper Sebou watershed, Morocco)

Cited by 24 publications

References 10 publications

Hydrological Responses of Watershed to Historical and Future Land Use Land Cover Change Dynamics of Nashe Watershed, Ethiopia

Hydrological Responses of Watershed to Historical and Future Land Use Land Cover Change Dynamics of Nashe Watershed, Ethiopia

Assessment of the risk of soil erosion using RUSLE method and SWAT model at the M’dez Watershed, Middle Atlas, Morocco

Influence of multisite calibration on streamflow estimation based on the hydrological model with CMADS inputs

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