Chapter
May 16, 2024

A Simplistic Approach for Evaluating Urban Flood Risk through the Integration of HEC-RAS 2D and GIS

Publication: World Environmental and Water Resources Congress 2024

ABSTRACT

Recent research in flood risk management has predominantly focused on employing hydrodynamic models to assess unpredictable flow changes resulting from uncontrolled urban development. Hydrodynamic models are part of the nascent drivers enhancing flood risk identification zones. In this research, flood risk in the region of a varying terrain of Sheffield City, located in South Yorkshire, England, was assessed through the integration of HEC-RAS 2D and GIS. For this study, terrain data (LiDAR data) and hydrological data (river flow) for the River Don in the case study area were acquired from the Department for Environment Food and Rural Affairs (DEFRA). These data were utilized to develop 2D hydrodynamic models using HEC-RAS-v6.2. The daily mean flow time series (flow hydrograph) from River Don during the flood event scenarios considered was used as the upstream boundary condition (input point), while the normal depth was considered the downstream boundary condition to simulate the unsteady flow condition. The simulated flood demonstrated satisfactory performance when compared to historical records of extreme flood events reported by the Sheffield City Council and the Environment Agency. Data produced from the simulation includes flow (floodwater) depth, flow velocity, and water surface elevation (WSE). The analyzed results indicated that more than 35% of the case study area will be underwater in the event of flooding of great magnitude. Also, it was observed that the northeastern portion of the study area displays a wide range of topographical features, including varying elevations, and is more susceptible to severe inundation. It was evident from the simulation that a 100% increase in river flow (discharge) would result in approximately 45% of the city becoming flooded. The results of this study offer decision-makers productive input to make informed choices promptly, minimizing casualties and property damage. This study aids in mitigating flood risk within vulnerable areas through the hydrodynamic models and execution of appropriate flood control measures. River flooding (fluvial flooding) is denoted as urban flood risk in the context of this study.

Get full access to this chapter

View all available purchase options and get full access to this chapter.

REFERENCES

Ahmed, Z., et al. (2013). ‘Urban Flooding – Case Study of Hyderabad’, 2(4), pp. 63–66.
Ashok, V., and Umamahesh, R. N. V. (2019). ‘Assessment of inundation risk in urban floods using HEC RAS 2D’, Modeling Earth Systems and Environment, 5(4), pp. 1839–1851. doi: https://doi.org/10.1007/s40808-019-00641-8.
Cea, L., and Costabile, P. (2022). ‘Flood Risk in Urban Areas: Modelling, Management and Adaptation to Climate Change: A Review’, Hydrology, 9(3). doi: https://doi.org/10.3390/hydrology9030050.
Davies, R. G., et al. (2008). ‘City-wide relationships between green spaces, urban land use and topography’, pp. 269–287. doi: https://doi.org/10.1007/s11252-008-0062-y.
Dimitriadis, P., et al. (2016). ‘Comparative evaluation of 1D and quasi-2D hydraulic models based on benchmark and real-world applications for uncertainty assessment in flood mapping’, Journal of Hydrology, 534(January), pp. 478–492. doi: https://doi.org/10.1016/j.jhydrol.2016.01.020.
Dong, B., et al. (2022). ‘Risk assessment for people and vehicles in an extreme urban flood: Case study of the “7.20” flood event in Zhengzhou, China’, International Journal of Disaster Risk Reduction, 80(July), p. 103205. https://doi.org/10.1016/j.ijdrr.2022.103205.
Ghimire, E., Sharma, S., and Lamichhane, N. (2022). ‘Evaluation of one-dimensional and two-dimensional HEC-RAS models to predict flood travel time and inundation area for flood warning system’, ISH Journal of Hydraulic Engineering, 28(1), pp. 110–126. doi: https://doi.org/10.1080/09715010.2020.1824621.
Idrees, M. O., et al. (2022). ‘Urban flood susceptibility mapping in Ilorin, Nigeria, using GIS and multi-criteria decision analysis’, Modeling Earth Systems and Environment, 8(4), pp. 5779–5791. doi: https://doi.org/10.1007/s40808-022-01479-3.
Janicka, E., and Kanclerz, J. (2023). ‘Assessing the Effects of Urbanization on Water Flow and Flood Events Using the HEC-HMS Model in the Wirynka River Catchment, Poland’, Water (Switzerland), 15(1). doi: https://doi.org/10.3390/w15010086.
Joyce, J., et al. (2018). ‘Environmental Modelling & Software Coupling infrastructure resilience and fl ood risk assessment via copulas analyses for a coastal green-grey-blue drainage system under extreme weather events’, Environmental Modelling and Software, 100, pp. 82–103. doi: https://doi.org/10.1016/j.envsoft.2017.11.008.
Lea, D., Yeonsu, K., and Hyunuk, A. (2019). ‘Case study of HEC-RAS 1D-2D coupling simulation: 2002 Baeksan flood event in Korea’, Water (Switzerland), 11(10), pp. 1–14. doi: https://doi.org/10.3390/w11102048.
Li, J., and Bortolot, Z. J. (2022). ‘Quantifying the impacts of land cover change on catchment-scale urban flooding by classifying aerial images’, Journal of Cleaner Production, 344(January), p. 130992. https://doi.org/10.1016/j.jclepro.2022.130992.
Nadeem, M. U., et al. (2022). ‘Application of HEC-HMS for flood forecasting in hazara catchment Pakistan, south Asia’, International Journal of Hydrology, 6(1), pp. 7–12. doi: https://doi.org/10.15406/ijh.2022.06.00296.
Nkwunonwo, U. C., Whitworth, M., and Baily, B. (2020). ‘A review of the current status of flood modelling for urban flood risk management in the developing countries.’, Scientific African, 7, p. e00269. https://doi.org/10.1016/j.sciaf.2020.e00269.
Ongdas, N., et al. (2020). ‘Application of HEC-RAS (2D) for Flood Hazard Maps’.
Pathan, A. I., et al. (2022). ‘Mesh grid stability and its impact on flood inundation through (2D) hydrodynamic HEC-RAS model with special use of Big Data platform—a study on Purna River of Navsari city’, Arabian Journal of Geosciences, 15(7). doi: https://doi.org/10.1007/s12517-022-09813-w.
Peng, J., and Zhang, J. (2022). ‘Urban flooding risk assessment based on GIS- game theory combination weight: A case study of Zhengzhou City’, International Journal of Disaster Risk Reduction, 77(January), p. 103080. https://doi.org/10.1016/j.ijdrr.2022.103080.
Quirogaa, V. M., et al. (2017). ‘Application of 2D numerical simulation for the analysis of the February 2014 Bolivian Amazonia flood : Application of the new HEC-RAS version 5’, 3781(February 2014). https://doi.org/10.1016/j.riba.2015.12.001.
Ramos, H. M., Pérez-Sánchez, M., Franco, A. B., and López-Jiménez, P. A. (2017). ‘Urban Floods Adaptation and Sustainable Drainage Measures’, pp. 1–18. doi: https://doi.org/10.3390/fluids2040061.
Rangari, V. A., et al. (2019). ‘Floodplain Mapping and Management of Urban Catchment Using HEC-RAS: A Case Study of Hyderabad City’, Journal of The Institution of Engineers (India): Series A, 100(1), pp. 49–63. doi: https://doi.org/10.1007/s40030-018-0345-0.
Rangari, V. A., Umamahesh, N. V., and Bhatt, C. M. (2019a). ‘Assessment of inundation risk in urban floods using HEC RAS 2D’, Modeling Earth Systems and Environment, 5(4), pp. 1839–1851. doi: https://doi.org/10.1007/s40808-019-00641-8.
Rangari, V. A., Umamahesh, N. V., and Bhatt, C. M. (2019b). ‘Assessment of inundation risk in urban floods using HEC RAS 2D’, Modeling Earth Systems and Environment, 5(4), pp. 1839–1851. doi: https://doi.org/10.1007/s40808-019-00641-8.
River, S. (2020). ‘Dam Breach Size Comparison for Flood Simulations.’, pp. 6–9.
Shah, Z., et al. (2022). ‘A single interface for rainfall-runoff simulation and flood assessment—a case of new capability of HEC-RAS for flood assessment and management’, Arabian Journal of Geosciences, 15(18). doi: https://doi.org/10.1007/s12517-022-10721-2.
Shaikh, A. A., et al. (2023). ‘Application of latest HEC-RAS version 6 for 2D hydrodynamic modeling through GIS framework: a case study from coastal urban floodplain in India’, Modeling Earth Systems and Environment, 9(1), pp. 1369–1385. doi: https://doi.org/10.1007/s40808-022-01567-4.
Suriya, S., and Mudgal, B. V. (2012). ‘Impact of urbanization on flooding : The Thirusoolam sub watershed – A case study’, Journal of Hydrology, 412–413, pp. 210–219. doi: https://doi.org/10.1016/j.jhydrol.2011.05.008.
Tanoue, M., Hirabayashi, Y., and Ikeuchi, H. (2016). ‘Global-scale river flood vulnerability in the last 50 years’, Nature Publishing Group, pp. 1–9. doi: https://doi.org/10.1038/srep36021.
Wang, X., et al. (2022). ‘Assessment of the joint impact of rainfall and river water level on urban flooding in Wuhan City, China’, Journal of Hydrology, 613(PA), p. 128419. https://doi.org/10.1016/j.jhydrol.2022.128419.
Xiao, S., et al. (2023). ‘Assessment of the urban waterlogging resilience and identification of its driving factors: A case study of Wuhan City, China’, Science of the Total Environment, 866(December 2022), p. 161321. https://doi.org/10.1016/j.scitotenv.2022.161321.

Information & Authors

Information

Published In

Go to World Environmental and Water Resources Congress 2024
World Environmental and Water Resources Congress 2024
Pages: 544 - 565

History

Published online: May 16, 2024

Permissions

Request permissions for this article.

ASCE Technical Topics:

Authors

Affiliations

Kehinde A. Ojasanya, S.M.ASCE [email protected]
1Energy and Environment Institute, Flood Risk Management, Univ. of Hull, Kingston upon Hull. Email: [email protected]
Blessing O. George-Kayode [email protected]
2School of Animal Plant and Environmental Sciences, Resource Conservation Biology, Univ. of Witwatersrand, Johannesburg. Email: [email protected]

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Paper
$35.00
Add to cart
Buy E-book
$286.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Paper
$35.00
Add to cart
Buy E-book
$286.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share