Conference Papers

Permanent URI for this collectionhttps://idr.nitk.ac.in/handle/123456789/28506

Browse

Filters

20241

Settings

Author: search.filters.author.Sahu, M.K.Subject: search.filters.subject.Flood modelling

Search Results

Now showing 1 - 1 of 1
  • No Thumbnail Available
    Item
    Flood Modelling and Mapping of Harangi River, Tributary of Cauvery River
    (Springer Science and Business Media Deutschland GmbH, 2024) Sahu, M.K.; Shwetha, H.R.; Dwarakish, G.S.
    Identifying and mapping the flood-prone area is a vital element of any flood management programme. Hydraulic modelling and remote sensing have been used for decades to predict flood events. In this study, unsteady flow analyses have been performed using the Hydrologic Engineering Centre-River Analysis System (HEC-RAS) software. The geometry file is created using the RAS Mapper tool. The study area selected is a 68 km stretch of the Harangi River from Kudige (12° 31′N, 75° 57′E) to Chunchunkatte (12° 30′24′′N, 76° 18′0′′E) gauging station in Karnataka. The required discharge data is collected from Central Water Commission, Bangalore. Manning’s roughness coefficient (n) is used as a simulating parameter to perform inundation mapping for the years 2018 and 2019, as the discharge in the river is high (2435, 2297 m3/s). Gumbel, Log-Pearson Type-3 (LP3) and Log-Normal (LN) distributions have been used to calculate peak discharges with return periods of 5, 10, 25, 50 and 100 years. The calibration and validation of the model is carried out by using data of simulated and observed discharge at the Chunchunkatte gauging station, which shows that the model developed in the present study is accurate. The result of the study shows that Manning’s n ranges between 0.003 and 0.005. For n = 0.005, the performance indices NSE, RMSE and R2 during calibration for the year 2018 are 0.663, 397.061 m3/s and 0.896; validation for the year 2019 is 0.72, 346.621 m3/s and 0.914; and the peak discharge for 100 years return period is 3419.48 m3/s via Gumbel distribution. The output of this study could be useful for flood control authorities to take necessary actions to prevent losses due to floods in the area. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.