Numerical characterization of torrential floods in the plain of Saïdia (North-East of Morocco)

Grari, Abdellatif; Chourak, Mimoun; Boushaba, F.; Cherif, Seif-eddine; Alonso, Elisa

doi:10.1007/s12517-019-4288-1

Cited by 7 publications

(3 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The simulation using IBER needs an input data; especially the Hydrographs, which are used to study the temporal variation of the water flow rate, this hydrography, represent the limit condition should be affected in the chosen area. In our case study, the mono frequency Flood Hydrographs for return periods T = 50 Years, calculated by using the (QDF) model flow (12). Moreover, the generation of the Moulouya DTM watershed was based on the processing of WorldView-2 and Spot-6 satellite images, the georeferenced of altimetry was carried out using a network of high precision GPS levels.…”

Section: Methodsmentioning

confidence: 99%

Two-dimensional flooding model using IBER software case Study: Saidia City North east of Morocco

Adil,

Chourak,

Farid

et al. 2024

E3S Web Conf.

View full text Add to dashboard Cite

In the last two decades, Morocco has suffered a lot from catastrophic flooding, resulting in enormous damage to materials and loss of human life. The Sadia City (northeast Morocco), in our case of this study, is the most urbanized area with a high concentration of socio-economic activities in the region. Sadia is located downstream of the Moulouya watershed known for its low topography, and high vulnerability to fluvial and torrential flooding. The study aims to simulate the flood hazard index in the city of Saidia and consists of developing a two-dimensional (2D) flooding model using IBER software, and then producing maps of water flow and water velocity based on a 1-meter DTM. Then, we use GIS to map the hazard index of the areas with a high risk of flooding over a return period of 50 years. These hydraulic models were used to elucidate the risk of the Moulouya River overflowing its catchment area and to assist the stakeholders in decision-making about adequate measures to protect human life in Saidia City.

show abstract

Section: Methodsmentioning

confidence: 99%

Two-dimensional flooding model using IBER software case Study: Saidia City North east of Morocco

Adil,

Chourak,

Farid

et al. 2024

E3S Web Conf.

View full text Add to dashboard Cite

show abstract

“…According to Rossman [55], the catchment width depends on the total surface and mean runoff length. In order to estimate the width, the geometrical shape of each sub-catchment is simplified to a rectangle, but also a divergent and convergent shape with the corresponding surface area [165]. In the case of partial catchments which are symmetrical in terms of pipe placement, the catchment width can be determined solely on the basis of pipe length.…”

Section: Subcatchment Areamentioning

confidence: 99%

Development of Rainfall-Runoff Models for Sustainable Stormwater Management in Urbanized Catchments

Szeląg

Łagód

Musz-Pomorska

et al. 2022

Water

View full text Add to dashboard Cite

Modelling of stormwater networks and the related object (combined sewer overflows, diversion chambers, retention tanks) is a complex task requiring colleting of data with appropriate time and spatial resolution as well as application of adequate models. Often there is a need to find balance between the costs of conducting measurement (period, resolution) and the uncertainty of the model results. This paper presents an overview of simulation tools for sewerage networks modelling, related objects, as well as low-impact development (LID) systems in relation to the hydrodynamic and statistical models. Consecutive stages of data collection, sources of data uncertainty, limitations resulting from the adopted measurement methodology, as well as their influence on the simulation results and possible decision-making using the developed hydrodynamic or statistical model, are discussed. Attention is drawn to the optimization methods enabling reduction in the uncertainty of statistical models. The methods enabling the analysis of model uncertainty, as well as evaluation of its influence on the calculation results pertaining to stormwater hydrographs, retention tank capacity and combined sewers overflows, are also discussed. This is a very important aspect in terms of optimizing construction works in the sewerage network and designing their appropriate dimensions to achieve the assumed hydraulic effects.

show abstract

“…Like in many developing countries, detailed records of rainfall and runoff data are seldom available in North Africa [12]. In our study area, such research is virtually non-existent, with only a few studies in nearby areas like Nador [13], Saidia [14] [15], and Zaio [16].…”

Section: Introductionmentioning

confidence: 97%

GIS Application in Urban Flood Risk Analysis: Midar as a Case Study

Akallouch,

Al Mashoudi,

Ziani

et al. 2024

OJE

View full text Add to dashboard Cite

The significance of this study lies in its exploration of the advanced applications of Geographic Information Systems (GIS) in assessing urban flood risks, with a specific focus on Midar, Morocco. This research is pivotal as it showcases that GIS technology is not just a tool for mapping, but a critical component in urban planning and emergency management strategies. By meticulously identifying and mapping flood-prone areas in Midar, the study provides invaluable insights into the potential vulnerabilities of urban landscapes to flooding. Moreover, this research demonstrates the practical utility of GIS in mitigating material losses, a significant concern in flood-prone urban areas. The proactive approach proposed in this study, centered around the use of GIS, aims to safeguard Midar's population and infrastructure from the devastating impacts of floods. This approach serves as a model for other urban areas facing similar challenges, highlighting the indispensable role of GIS in disaster preparedness and response. Overall, the study underscores the transformative potential of GIS in enhancing urban resilience, making it a crucial tool in the fight against natural disasters like floods.

show abstract

Numerical characterization of torrential floods in the plain of Saïdia (North-East of Morocco)

Cited by 7 publications

References 26 publications

Two-dimensional flooding model using IBER software case Study: Saidia City North east of Morocco

Two-dimensional flooding model using IBER software case Study: Saidia City North east of Morocco

Development of Rainfall-Runoff Models for Sustainable Stormwater Management in Urbanized Catchments

GIS Application in Urban Flood Risk Analysis: Midar as a Case Study

Contact Info

Product

Resources

About