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http://localhost:8081/jspui/handle/123456789/20925Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Satish | - |
| dc.date.accessioned | 2026-05-15T10:04:17Z | - |
| dc.date.available | 2026-05-15T10:04:17Z | - |
| dc.date.issued | 2022-05 | - |
| dc.identifier.uri | http://localhost:8081/jspui/handle/123456789/20925 | - |
| dc.guide | Kumar, P.C. Ashwin & Srikrishnan, S. | en_US |
| dc.description.abstract | This paper presents the most recent achievements in flood forecasting and simulation as they relate to river flood analysis and risk prediction. Water flow predictions and river simulation are investigated using a variety of models and methods. The paper describes a cutting-edge method for river flood monitoring, modelling, and forecasting. To complement the traditional approach to modelling river physical processes, it incorporates a variety of technologies and models, including input data filtering and river terrain maps, inundation visualization, remotely scenes data, hydrological 1D OR 2D models for time scale modelling water flows and geo simulation, and daily flood warning. By using the hydraulic model as a tool to do the assessment the same is used for accessing the flood risk. So, hydraulic tools are the next-generation way to accessing the flood risk. Hydraulic model is a set of equations that depict reality in a straightforward manner. River channel flow, water level, and velocity are all estimated, as are pipe networks, tidal systems, and floodplains. Applying appropriate inflow boundary conditions to hydraulic models after determining them. The paths and receptors of a fluvial or pipe system are represented by these hydraulic models. Using historical data on maximum peak discharges, this paper estimates the flood risk in the River Ayr and its tributaries. Based on our analysis, determine which bridges, culverts/conduits, pipes, barrages, and reservoirs need to be updated in capacity, as well as whether additional structures are required. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | IIT Roorkee | en_US |
| dc.title | FLOOD RISK ASSESSMENT ON RIVER AYR AND ITS TRIBUTARIES | en_US |
| dc.type | Dissertations | en_US |
| Appears in Collections: | MASTERS' THESES (CENTER OF EXCELLENCE IN DISASTER MITIGATION AND MANAGEMENT) | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 20552008_Satish.pdf | 6.97 MB | Adobe PDF | View/Open |
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