Abstract
Understanding catchment behaviour through rainfall-runoff models allows decision makers for proper planning and operation in context of flood risk management. However accurate rainfall-runoff and flood modelling at high spatio-temporal resolutions still remains a significant challenge in any hydrologic and hydraulic studies. This study seeks to develop Hydrologic Engineering Centre’s Hydrologic Modelling System (HEC-HMS) and Hydrologic Engineering Centre’s River Analysis System (HEC-RAS) models to simulate the effects of rainfall on surface runoff and generate flood inundation maps for Kankai and Kävlinge river. The Kankai River is rainfed perennial river of eastern Nepal which recieves concentrated precipitation mostly during summer months. Whereas Kävlinge river is situated in the southern part of Sweden in Skåne county and has temperate climate with precipitation, mostly in the form of snow occurring throughout the year. Being in a complete different hydrological and geographical setting, model parameters of these catchment models have varied significance level to modelling methods, which have been critically analyzed here through sensitivity analysis. Using HEC-RAS 1D model, flood inundation maps for 100-year flood are also generated and their potential impacts across the adjoing area have been discussed with possible recommendation on flood management strategies for each region.
Original language | English |
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Publication status | Published - 2018 Dec 14 |
Event | AGU (American Geophysical Union) Fall Meeting, 2018 - Washington, United States Duration: 2018 Dec 10 → 2018 Dec 14 |
Conference
Conference | AGU (American Geophysical Union) Fall Meeting, 2018 |
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Country/Territory | United States |
City | Washington |
Period | 2018/12/10 → 2018/12/14 |
Subject classification (UKÄ)
- Oceanography, Hydrology and Water Resources