Flood Assessment Using Hydrodynamic HEC-RAS Modelling

Flood Assessment Using Hydrodynamic HEC-RAS Modelling

Vaishali I. Rana, Azazkhan I. Pathan, Dhruvesh P. Patel, Prasit G. Agnihotri, Samir B. Patel
ISBN13: 9781668439814|ISBN10: 1668439816|EISBN13: 9781668439838
DOI: 10.4018/978-1-6684-3981-4.ch011
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MLA

Rana, Vaishali I., et al. "Flood Assessment Using Hydrodynamic HEC-RAS Modelling." Artificial Intelligence of Things for Weather Forecasting and Climatic Behavioral Analysis, edited by Rajeev Kumar Gupta, et al., IGI Global, 2022, pp. 164-176. https://doi.org/10.4018/978-1-6684-3981-4.ch011

APA

Rana, V. I., Pathan, A. I., Patel, D. P., Agnihotri, P. G., & Patel, S. B. (2022). Flood Assessment Using Hydrodynamic HEC-RAS Modelling. In R. Gupta, A. Jain, J. Wang, V. Singh, & S. Bharti (Eds.), Artificial Intelligence of Things for Weather Forecasting and Climatic Behavioral Analysis (pp. 164-176). IGI Global. https://doi.org/10.4018/978-1-6684-3981-4.ch011

Chicago

Rana, Vaishali I., et al. "Flood Assessment Using Hydrodynamic HEC-RAS Modelling." In Artificial Intelligence of Things for Weather Forecasting and Climatic Behavioral Analysis, edited by Rajeev Kumar Gupta, et al., 164-176. Hershey, PA: IGI Global, 2022. https://doi.org/10.4018/978-1-6684-3981-4.ch011

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Abstract

River flooding causes several human and financial casualties, and hence, it is necessary to perform research studies and implement subsequent actions consistent with the nature of the river. To minimize flood damage, floodplain zoning is a prominent non-structural measure in planning the areas surrounding the river. The present study uses HEC-RAS Version 5 to develop a flood model for the Chandan River, situated in the southern part of Balaghat district. The Digital Elevation Model (DEM) used for this analysis is 30m open source CartoDEM V-3 R1. The peak floods of 1990, 2002, and 2006 are taken into consideration. The river reach is divided into 48 cross sections, and a one-dimensional steady flow analysis is performed on HEC-RAS to assess the flood. The depths observed in the floods of 1990, 2005, and 2006 are 5.99 m, 3.2 m, and 3.49 m, respectively. The coefficient of correlation (R2) is obtained as 0.954 which shows the consistency and accuracy of the model. This study can help governing bodies to plan the city and attenuate the losses caused by floods in the Chandan River.

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