Thesis (Ph.D)-University of Birmingham, Dept of Civil Engineering.
|Statement||by Pao-Shan Yu.|
ADAPTING KINEROS2 TO REAL-TIME FLASH FLOOD FORECASTING. The obvious prerequisite for running a rainfall-runoff model in real time is access to real-time rainfall data. The Digital Hybrid Reflectivity Scan (DHR) product from the NWS WSRD (Weather Surveillance Radar 88 Doppler) radar was selected since it provides the highestCited by: 5. The use of GARR as input to the PBD model not only increases the forecast lead-time and its accuracy, but also the accuracy of forecast peak stage across a range of basin sizes. Useful lead-time and accurate forecast stage distributed throughout an urban area was obtained from the radar-based distributed flash flood forecasting by: Rainfall-based real-time flood forecasting. J. Hydrol., The use of conceptual rainfall-runoff models in real-time flood forecasting still presents problems, some of which relate to the updating of the mathematical model and to uncertainties associated with future by: flood forecasting information 3 to 10 days in advance. Durga Rao, Bhanumurthy, and Roy () have worked on developing a medium-range flood forecast model for the Brahmaputra Basin. They demonstrated the scope of using satellite-based rainfall products in flood forecasting and its limitations. Bogner and Kalas () tested for adjustingCited by: 8.
A distributed real-time semiarid flash-flood forecasting model utilizing radar data Table 1 Model parameters and multiplier ranges used in 1-parameter sensitivity tests. Element Model parameter** Explanation Ranges for Walnut Gulch Plane d p Soil pore size distribution index – i p Maximum interception depth – mmFile Size: KB. A distributed real-time semiarid flash-flood forecasting model utilizing radar data Soni Yatheendradas, Thorsten Wagener, Hoshin Gupta, Carl Unkrich, Mike Schaffner, David Goodrich Hydrology and Water ResourcesAuthor: Soni Yatheendradas, Thorsten Wagener, Hoshin Vijai Gupta, Carl Unkrich, Mike Schaffner, David Goodri. Operational Deployment of a Physics-based Distributed Rainfall-runoff Model for Flood Forecasting in Taiwan Article (PDF Available) January with 39 . 10th International Conference on Urban Drainage, Copenhagen/Denmark, August Vieux et al. 1 Real-time urban runoff simulation using radar rainfall and physics-based distributed modeling for site-specific forecasts B.E. Vieux1*, P.B. Bedient2 and E. Mazroi1 1 School of Civil Engineering and Environment Science, University of Oklahoma, West Boyd Street, CEC .
PCSWMM Real-Time provides flood forecasting for watershed, storm sewer and/or sanitary sewer networks. The system provides accurate near-term ( h) and generalized long-term (24 h +) forecasting of rainfall, runoff, flows, and water levels throughout the system, whether it is river-based, sewer-based, or both. Garrote, L., and R.L. Bras, , A distributed model for real-time forecasting using digital elevation models, J. Hydrol., , Hermida, J., and D. Sempere Torres, , A rainfall-runoff model to use spatial fields in Mediterranean basins, in WMO-INM International Conference on cyclones and. Flood forecasting is the use of forecasted precipitation and streamflow data in rainfall-runoff and streamflow routing models to forecast flow rates and water levels for periods ranging from a few hours to days ahead, depending on the size of the watershed or river basin. Flood forecasting can also make use of forecasts of precipitation in an attempt to extend the lead-time available. A real-time flood forecasting system based on44 GIS5 and DEM the flow length are affected by spatial discretization (cell size) of the basin. The same does not occur with the spatial flow velocity field, which presents invariance properties with the DEM scale, based on the behaviour of the cumulative drainage area curves.