Abstract:
Management of the quantity and quality of storm water runoff from urban areas is a complex
task which has become an increasingly important environmental issue for urban communities.
Together with economic and social issues, this increased awareness of the impacts of urban
drainage systems has resulted in a need for system managers to obtain information regarding
the drainage system response to varying climatic conditions. In an ideal situation, storm water
systems would be designed and analyzed with catchment modeling systems which fully
replicated the important processes involved with the generation and transmission of storm
water. This ideal situation, however, requires catchment modeling systems, generally
mathematical in form, to be developed that include all potential and feasibility. Effective
urban storm water management is highly dependent on appropriate consideration of the
spatial variability of urban watershed characteristics. This realization has prompted
increasing use of physically based urban watershed models such as the Environmental
Protection Agency (EPA) Storm-Water Management Model (SWMM). The use of spatially
distributed, physically based models enhance the ability to simulate the dynamic runoff
response of urbanizing catchments.
The available historical hydrological data, which is suitable for urban hydrological
studies, have been evaluated in GHMC Zone XII of Hyderabad city. No flood inundation
maps, short terms rainfall and water level data is available for the study area. However
historical hourly rainfall within study area at Hyderabad station has been collected and
analyzed. The hourly rainfall computed for 2, 5, 10, and 25 years return periods using
Extreme Value Type 1 distribution and developed the IDF formula. During the project period
five tipping bucket rain gauges and one automatic water levels recorder have been installed in
the study area. The storm water drainage network details were collected and GIS database has
been prepared. Using thematic layers of DEM delineated the 15 sub-catchments and drainage
network. Using these thematic layers, the study area has been schematized using 15 nodes
and 13 links in the EPA-SWMM model. Based on measured rainfall and water level data in
the study area, the EPA-SWMM model performance has been evaluated in terms of stage
computation in the study area. The average runoff coefficient found in the study area is 0.863.
After successful testing of the model, the design storm for 2, 5 10 and 25 years return periods
have been considered as input into the model and found that the present storm water drainage
network is not sufficient to drain two-year return period storm. The data monitored in the
basin may act as benchmark dataset for further research and to explore other flood mitigation
measures in the study area.