Simulation of Urban Drainage System Using Disaggregated Rainfall Data

Abstract

Urban flooding is one of the major challenges that India is facing every year to which a solid solution is not yet available. Rapid-growing urban areas are responsible for the ground sealing which affects the natural drainage system. As a result, all the rainwater is going to flow through drainage system. Most of the drainage network in the country is old and deteriorated that needs immediate attention. Proper design and maintenance of drainage system can solve the problem to a maximum extent. But one of the difficulties encountered in design of drainage network of urban area is unavailability of peak runoff data for shorter time intervals at most of the locations. In this study, the preliminary assessment of drainage discharge for Zone V area of Hyderabad City is carried out. Hourly precipitation data is disaggregated using artificial neural networks (ANN) in order to obtain sub-hourly data. Intensity duration frequency (IDF) curves are constructed using the disaggregated sub-hourly data. The existing drainage network is simulated in Storm Water Management Model (SWMM) to check its hydraulic performance. The simulations carried out using design hydrographs constructed from IDF curves. Results indicate that existing drainage network is inadequate at certain locations.