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Alternatively, a 1D network may be imported or dynamically linked to an external database. Surveys of key hydraulic controls such as levees / embankments (3D breaklines), culverts, bridges, etc.ġD link-node networks are developed in XPSWMM with the graphic toolset. Peak levels should be attached as attributes to the calibration points. ocean water levels, catchment inflows, rainfall, evaporation, etc).Ĭalibration data locations as points in a GIS layer. If bed resistance varies over the model, geo-corrected aerial photography or other GIS layer from which material (land-use) zones are digitized for setting Manning’s n values.īoundary conditions (e.g. The vertical accuracy is dependent on the typical depths of inundation in key areas. However, for large scale models ± 0.2m is preferred, whilst for fine-scale urban models < ± 0.1m is recommended. The vertical accuracy depends on the modeling objectives and budget constraints. The minimum data requirements for setting up a 2D/1D hydraulic model are:Ī DTM with sufficient resolution and accuracy to depict the topography of all flowpaths and storage areas in the 2D domain(s). The overflowing nodes suggest the need of improvement of drainage in the area to safely dispose of the storm water and minimize the flooding.General Considerations for building a 2D Model Data Requirements The flood risk maps identify the low lying areas which need immediate attention in case of emergency. The simulation run results identifies overflowing drainage nodes and flood inundation maps and risk maps prepared. The model is simulated for extreme flood event occurred in past. A web based GIS platform INPPINS is used to geo reference the existing network details and exported to 1D SWMM model. 1D model for pilot area is developed using storm water management model (SWMM) and coupled with 2D PCSWMM. A coupled 1D-2D flood modelling approach is used to identify flood prone areas and develop flood inundation and flood risk maps.
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The entire Hyderabad city is divided into 16 zones and each zone having details of existing drain network. The present study focuses on recognizing the highly effected areas which are liable to flooding when extreme rainfall occurs for part of Hyderabad city (Zone XIII). So better modelling provides minimizing loss of life and property. As like in river flooding satellite images are not available for unban flooding scenario. This runoff generates urban flooding which poses challenges to modeling urban flood hazard and risk. Complexities in the urban environment and drainage infrastructure have an inherent influence on surface runoff. The origin for urban floods is floodplains encroachment and unplanned drainage systems. People occupy floodplain areas in low flood years and when larger flood occurs it causes high damage. Urban development in developing countries like India usually occurs with high population concentrating in small areas, with poor drainage conditions. Space for water is now becoming guiding principle of urban planning because urban flooding is the major problem facing by most of the cities in India.