Development of generalized loss functions for rapid estimation of flood damages: a case study in Kelani River basin, Sri Lanka

2017 ◽  
Vol 10 (1) ◽  
pp. 13-30 ◽  
Author(s):  
Akinola Adesuji Komolafe ◽  
Srikantha Herath ◽  
Ram Avtar
Keyword(s):  
Sri Lanka ◽  
River Basin ◽  
Loss Functions ◽  
Rapid Estimation ◽  
Flood Damages ◽  
Kelani River

Modeling of Event and Continuous Flow Hydrographs with HEC–HMS: Case Study in the Kelani River Basin, Sri Lanka

2014 ◽  
Vol 19 (4) ◽  
pp. 800-806 ◽  
Author(s):  
M. M. G. T. De Silva ◽  
S. B. Weerakoon ◽  
Srikantha Herath
Keyword(s):  
Sri Lanka ◽  
River Basin ◽  
Continuous Flow ◽  
Kelani River

scholarly journals Soil loss estimation using rusle model to prioritize erosion control in KELANI river basin in Sri Lanka

2019 ◽  
Vol 7 (2) ◽  
pp. 130-137 ◽  
Author(s):  
Cassim Mohamed Fayas ◽  
Nimal Shantha Abeysingha ◽  
Korotta Gamage Shyamala Nirmanee ◽  
Dinithi Samaratunga ◽  
Ananda Mallawatantri
Keyword(s):  
Sri Lanka ◽  
River Basin ◽  
Soil Loss ◽  
Erosion Control ◽  
Loss Estimation ◽  
Rusle Model ◽  
Kelani River

scholarly journals Flood inundations and risk mapping in a tidal river:  a case study for the Kelani River basin, Sri Lanka

2021 ◽  
Author(s):  
Jayanaga Thanuka Samarasinghe ◽  
Eranda Perera ◽  
Fang Yenn Teo ◽  
Andy Chan ◽  
Surajit Ghosh
Keyword(s):  
Sri Lanka ◽  
River Basin ◽  
Hydrodynamic Model ◽  
Hydrological Model ◽  
Tidal River ◽  
Return Periods ◽  
Coefficient Of Correlation ◽  
Pearson Coefficient ◽  
Inundation Extent ◽  
Kelani River

Abstract The downstream low-lying regions of the Kelani River, including some areas in the Districts of Colombo and Gampaha, Sri Lanka, frequently face severe inundations due to extreme rainfalls in the upper basin. In the present study, 1-D and 2-D hydrodynamic models in HEC-RAS have been used to examine the flood inundations in the tidal influenced Kelani River with ground observations and remote sensing. The HEC-RAS model has been used to produce a flood hazard map for hazard assessment in the lower Kelani River basin under different return periods. Furthermore, expected discharges for different return periods have been estimated using the hydrological model HEC–HMS with the updated intensity depth frequency curves for the Kelani River basin. Sentinel 1 imagery and field survey results are used to validate the simulated flood inundation extent; hydrodynamic model results validated against observed stage measurements; hydrological model validated against discharge measurements. Further, the validated hydrodynamic model showed the high capability to capture flow processes (Nash-Sutcliffe coefficient = 0.90 and Pearson coefficient of correlation = 0.95) along with inundation extent (Success Index = 0.90) of selected historical extreme events. Then the hydrological model is used to predict the flows of the Kelani River basin with a good agreement (Nash-Sutcliffe coefficient = 0.91 and the Pearson coefficient of correlation = 0.93). Finally, flood risk zoning for different return periods are developed based on the present model which would be a useful benchmark to design and implement flood control and mitigation measures for the river basin.

Sign in / Sign up

Export Citation Format

Share Document