Integration of GIS and HEC-RAS in Floods Modeling of Martil River (Northern Morocco)

Azouagh, Amina; Bardai, Rabei El; Hilal, Ismail; Messari, Jamal Stitou El

doi:10.19044/esj.2018.v14n12p130

Cited by 17 publications

(14 citation statements)

References 1 publication

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“…The 1D model of HEC-RAS has been widely used in river flood analysis [17][18][19][20][21][22][23][24], as well as their two-dimensional model [24][25][26][27][28]. In their newest version, HEC-RAS added the ability to perform combined 1D and 2D unsteady-flow routing within the unsteady flow model, allowing work on a larger river system, and implementing 2D modeling only in the areas that require a higher level of hydrodynamic precision.…”

Section: Coupled 1d-2d Methodsmentioning

confidence: 99%

Case Study of HEC-RAS 1D–2D Coupling Simulation: 2002 Baeksan Flood Event in Korea

Dasallas

Kim

2019

Water

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Recent studies strongly suggest the possibility of more frequent extreme events as a result of the changing climate. These weather extremes, such as excessive rainfall, result in debris flow, river overflow and urban flooding, which can pose a substantial threat to the community. An effective flood model is therefore a crucial tool in flood disaster control and mitigation. A number of flood models have been established in recent years. However, the major challenge in developing effective and accurate flood models is the disadvantage of running multiple models for separate, individual conditions. Among the solutions in recent research is the development of combined 1D–2D flood modeling. Coupled 1D–2D flood modeling allows the channel flows to be represented in 1D and the overbank flow to be modeled in 2D. In order to test the efficiency of the approach, this research aims to assess the capability of the U.S. Army Corps of Engineers Hydrologic Engineering Center River Analysis System (HEC-RAS) model’s implementation of the combined 1D–2D hydraulic computation in simulating river overflow inundation. For verification, the simulation is applied to the Baeksan river levee breach event in South Korea in 2011. The simulation results show similarities of the observed data and the outputs from widely used flood models. This proves the applicability of the HEC-RAS 1D–2D coupling method as a powerful tool in simulating accurate inundations for flood events.

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Section: Coupled 1d-2d Methodsmentioning

confidence: 99%

Case Study of HEC-RAS 1D–2D Coupling Simulation: 2002 Baeksan Flood Event in Korea

Dasallas

Kim

2019

Water

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“…[33] identified the risk area for constructing flood control structures in the Barsa river, Bhutan, using the hybrid ArcGIS and HEC-RAS approach. Mapping and risk classification were carried out to determine the location, velocity and depth of floods in Morocco [34]. This model was also used in simulating flood flows and inundation levels for the downstream floodplain in the Huong River Basin, Vietnam [35].…”

Section: Introductionmentioning

confidence: 99%

A Model-Based Flood Hazard Mapping on the Southern Slope of Himalaya

Aryal

Adhikari

Zhou

et al. 2020

Water

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Originating from the southern slope of Himalaya, the Karnali River poses a high flood risk at downstream regions during the monsoon season (June to September). This paper presents comprehensive hazard mapping and risk assessments in the downstream region of the Karnali River basin for different return-period floods, with the aid of the HEC-RAS (Hydrologic Engineering Center’s River Analysis System). The assessment was conducted on a ~38 km segment of the Karnali River from Chisapani to the Nepal–India border. To perform hydrodynamic simulations, a long-term time series of instantaneous peak discharge records from the Chisapani gauging station was collected. Flooding conditions representing 2-, 5-, 10-, 50-, 100-, 200-, and 1000-year return periods (YRPs) were determined using Gumbel’s distribution. With an estimated peak discharge of up to 29,910 m3/s and the flood depths up to 23 m in the 1000-YRP, the area vulnerable to flooding in the study domain extends into regions on both the east and west banks of the Karnali River. Such flooding in agricultural land poses a high risk to food security, which directly impacts on residents’ livelihoods. Furthermore, the simulated flood in 2014 (equivalent to a 100-YRP) showed a high level of impact on physical infrastructure, affecting 51 schools, 14 health facilities, 2 bus-stops, and an airport. A total of 132 km of rural–urban roads and 22 km of highways were inundated during the flood. In summary, this study can support in future planning and decision-making for improved water resources management and development of flood control plans on the southern slope of Himalaya.

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“…Geographic Information System (GIS) is also used extensively to model surface water and flood damage assessment (Opolot 2013;Santillan et al 2016;Rimba et al 2017;Ogato et al 2020). The Hydrologic Engineering Center's River Analysis System (HEC-RAS) model developed by the U.S. Army Corps of Engineers (USACE) is generally used for investigating flooding and flood-related hazards worldwide (Smith and Ward 1998;U.S.Corps of Engineers 2002;Merz et al 2004;Brunner 2016;Azouagh et al 2018). The present study was taken up to delineate flood zones and prepare flood hazard maps of the vulnerable areas of Itang District in Gambella Region of Ethiopia by integrating remote sensing, GIS, and hydraulic simulation model, HEC-RAS.…”

Section: Introductionmentioning

confidence: 99%

GIS-Based Flood Hazard Mapping in Itang District of the Gambella Region, Ethiopia

Tadesse

Suryabhagavan

Nedaw

2021

Preprint

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Flood is one of the natural disasters that affect societies around the world. Every year, flood claims hundreds of human lives and causes damage to the global economy and environment. Consequently, the identification of flood-vulnerable areas is important for comprehensive flood risk management. This study aims to delineate flood hazard areas in Itang District of Gambella Region, Ethiopia, applying the Gumbel probability distribution and Analytical Hierarchy Process (AHP) method. Distribution models applied in the study involve the generalized extreme value, Gumbel, Log-Normal, and Log Pearson type III. The Gumbel distribution provides the best fit according to the extreme value analyses. After obtaining discharge level through the method, the region's flood inundation area was mapped at 5, 10, 25, 50, and 100-year recurrence intervals. The developed methodology processes six parameters, namely, slope, elevation, land-use/land-cover, rainfall, discharge, and soil. Each criterion was evaluated with the aid of AHP and mapped by GIS. Data were assorted into five suitability classes, viz., very high, high, moderate, low, and very low flooding areas, representing 29.7%, 27.8%, 18.5%, 12.7%, and 11.4%, respectively. The outcome is extremely useful for evacuation planning, damage assessment, and losses estimation, thereby minimizing the natural disaster's effect in the study area.

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Integration of GIS and HEC-RAS in Floods Modeling of Martil River (Northern Morocco)

Cited by 17 publications

References 1 publication

Case Study of HEC-RAS 1D–2D Coupling Simulation: 2002 Baeksan Flood Event in Korea

Case Study of HEC-RAS 1D–2D Coupling Simulation: 2002 Baeksan Flood Event in Korea

A Model-Based Flood Hazard Mapping on the Southern Slope of Himalaya

GIS-Based Flood Hazard Mapping in Itang District of the Gambella Region, Ethiopia

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