HEC-RAS Hydraulic Model for Floodplain Area in Sembrong River

Razi, Mohd Adib Mohammad; Marimin, Nor Azimah; Ahmad, Mustaffa Anjang; Adnan, Mohd Shalahuddin; Rahmat, Siti Nazahiyah

doi:10.30880/ijie.2018.10.02.029

Cited by 7 publications

(7 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Fig. 2 Assigned initial weights in the ANNs (Marimin et al 2018) because of its capabilities and abilities to simulate unsteady flow and identifies flood-prone areas where the surface ground level is lower than the computed water profile and allows the researcher to visualize the flood extent along a river course (Maidment 2017;Timbadiya et al 2011). The river geometries such as centerlines, bank lines, flow paths, and cross-sectional lines are the major parameters processed in HEC-RAS to generate flood-prone areas.…”

Section: Hec-ras Modelmentioning

confidence: 99%

Machine-learning and HEC-RAS integrated models for flood inundation mapping in Baro River Basin, Ethiopia

Tamiru

Wagari

2021

Model. Earth Syst. Environ.

View full text Add to dashboard Cite

This study presents an integrated machine-learning and HEC-RAS models for flood inundation mapping in Baro River Basin, Ethiopia. ANN and HEC-RAS models were integrated as a predictive hydrological and hydraulic model to generate runoff and the extent of flood, respectively. Daily rainfall and temperature data of 7-years (1999–2005), daily discharge (1999–2005) and 30 m × 30 m gridded Topographical Wetness Index (TWI) were used to train a predictive ANN hydrological model in RStudio. The predictive performance of the developed ANN hydrological model was evaluated in RStudio using Nash–Sutcliffe Efficiency (NSE) values of 0.86 and 0.88 during the training period (1999–2005) and testing period (2006–2008), respectively, with the corresponding observed daily discharge. The validated ANN predictive hydrological model was linked with HEC-RAS to generate the flood extent along the river course. The HEC-RAS model result was calibrated and validated using the water body delineated using Normal Difference Water Index (NDWI) from LANDSAT 8 imagery based on historical flood events of 2005 and 2008. It was found that about 96% of an agreement was made between the flood-prone areas generated in HEC-RAS and the water body delineated using NDWI. Therefore, it is logical to conclude that the integration of a machine-learning approach with the HEC-RAS model has improved the spatiotemporal uncertainties in traditional flood forecasting methods. This integrated model is powerful tool for flood inundation mapping to warn residents of this basin.

show abstract

Section: Hec-ras Modelmentioning

confidence: 99%

Machine-learning and HEC-RAS integrated models for flood inundation mapping in Baro River Basin, Ethiopia

Tamiru

Wagari

2021

Model. Earth Syst. Environ.

View full text Add to dashboard Cite

show abstract

“…The terrain data in HEC-RAS was generated using Digital Elevation Model (DEM) data of study area in float (.flt) format. The RAS Mapper extension in HEC-RAS will convert the float file to a GeoTIFF (.tif) file, resulting in a smaller storage capacity, faster computational speed, and a dynamic map [8]. Figure 3 shows the DEM data and drainage geometry in RAS Mapper.…”

Section: Survey Datamentioning

confidence: 99%

Flood modelling at Bandar Batu Pahat, Johor using HEC-RAS software

Razi

Adnan

Abustan

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

View full text Add to dashboard Cite

Flood catastrophe continuously hit Malaysia through monsoonal flood and flash flood as well posing threat towards people, infrastructure and environment. Batu Pahat is among the district in Johor affected by flood disaster for almost every year. This study conducted to determine the hydraulic and hydrological characteristic and the ability of drainage system in Parit Besar and Jalan Pontian-Batu Pahat catchment area at Batu Pahat using HEC-RAS software. Through HEC-RAS, floodplain map was also produced to access the overview of potential floodplain areas. Survey data, geometric data and flow data were computed in HEC-RAS to produce drainage flow and cross-sectional area along the catchment area. Four (4) flow rates of 0.05284, 0.05894, 0.06910 and 0.07113 (m3/s) were utilized to identify the drainage ability to accommodate additional water. Several stations in Parit Besar catchment cannot accommodate the runoff with the minimum flow rate of 0.05284 (m3/s). Meanwhile, Jalan Pontian-Batu Pahat catchment cannot accommodate flow rates of 0.06910 and 0.07113 (m3/s). This is due to the catchment area has low elevation and insufficient drainage system. From the results, floodplain areas were identified. Modification of drainage cross-section was proposed to reduce the floodplain areas. This study is vital for better understanding of flooding and help the authorities to produce better flood management plan.

show abstract

“…The flood incident is also inseparable from the drainage system's availability (river) being unable to accommodate the maximum flow rate of a watershed as the main problem as a flood inundation around the river area. Marimin [4] submerged in floods in 10 villages. Floods caused by high rainfall in the last 3 days in Langsa made the river unable to accommodate high water discharge resulting in water rising 50 -150 cm past the river cliffs [5], so that the culprit of this flood was high rainfall causing hundreds of houses agriculture, and public facilities and infrastructure were flooded.…”

Section: Introductionmentioning

confidence: 99%

A Flood Water Level and Risk Analysis in Langsa River Aceh Province

Ismida¹,

Isma²,

Fajri³

et al. 2021

Advances in Social Science, Education and Humanities Research

View full text Add to dashboard Cite

Langsa river that crosses the city during high rainfall often experiences flooding around the river's border. This is due to the river which is not being able to accommodate the excess discharge so that the overflow of water has a negative impact on the facilities and infrastructure around the river. In addition, flooding is also affected by the damage of Langsa watersheds which is characterized by a decrease in the ability of storing the water. There are few information available regarding the high potential impact and inundation of floods in detail caused by flood discharge plan, so that this investigation aims to determine the height and inundation of floods for a return period of 5 and 100 years as a basic information in flood disaster mitigation in Langsa City. The scope of the analysis was carried out by several methods, namely the analysis of the maximum rainfall frequency distribution with the normal distribution method, log normal, log-Pearson type III, and Gumbel, periodic analysis of planned flood discharge with the Nakayashu Synthetic Unit Hydrograph method and analysis of water level and flood inundation with the help of HECRAS 5.01 and GIS software to encounter the risk of flood inundation of the stream. The results of this study denote that the flood discharge which occurs in the river due to the maximum daily rainfall (CH) based on the Gumbel distribution results in a flood discharge (Q5) of 361.21 m3/second with a water level of 1.0 meter. Meanwhile, the flood discharge (Q100) produces 564.65 m3/second with a flood water level of 3.0 meters and 33.86 square kilometers area of indunation. Moreover, with the availability of discharge information (Q100), it is predicted that 15 villages are potentially affected by flooding. The proposed analysis has auspicious value in the practical implementation of flood disaster mitigation in Langsa City.

show abstract

HEC-RAS Hydraulic Model for Floodplain Area in Sembrong River

Cited by 7 publications

References 4 publications

Machine-learning and HEC-RAS integrated models for flood inundation mapping in Baro River Basin, Ethiopia

Machine-learning and HEC-RAS integrated models for flood inundation mapping in Baro River Basin, Ethiopia

Flood modelling at Bandar Batu Pahat, Johor using HEC-RAS software

A Flood Water Level and Risk Analysis in Langsa River Aceh Province

Contact Info

Product

Resources

About