Application of Storm Water Management Model of JNTUK Campus Kakinada, Andhra Pradesh, India
D. TejaswiniSindhura1, P. Harishankar2, M. Siri3, V. Harini4, T. Aswitha5, Talari Anuhya6 .
1,2,3,4,5 Department of Civil Engineering, University College of Engineering Kakinada (Autonomous), JNTUK, Kakinada, Andhra Pradesh- 533003.
6Junior Resource Person, Deltaic Regional Centre, National Institute of Hydrology, Kakinada, Andhra Pradesh- 533003
Corresponding author’s E-mail:harinivemali@gmail.com
ABSTRACT
Urban flooding and poor stormwater management are becoming increasingly prominent issues in fast-developing areas like Kakinada City. In this study, we will use the Storm Water Management Model (SWMM 5.0) to help design and simulate a successful and sustainable urban drainage system for Jawaharlal Nehru Technological University, Kakinada (JNTUK), which is about 110 acres. An integrated geospatial and hydrologic modeling approach was taken using Remote Sensing (RS), Geographic Information Systems (GIS), and hydrologic simulation systems to design and simulate the system. The satellite images and other topographic data were downloaded from Earth Explorer, ArcGIS (Map Viewer). The satellite imagery was analyzed to extract important surface parameters including land use/land cover, slope, and impervious surfaces. This data was then used to delineate the drainage sub catchments and determine the runoff coefficients to define the hydrologic input parameters for SWMM. The EPA SWMM 5.0 model was used to simulate rainfall-runoff processes and hydraulic behavior of the drainage network. During the analysis of proposed drainage systems, design storms with various intensities were used to assess system performance. Simulations indicated areas with potential water accumulation and flooding within the campus. The analysis provided input to optimize the drainage system with effective inlets, conduits, and outlet configuration to convey water with minimal pooling on the surface. This opportunistic study offers a tangible solution to existing drainage problems on the JNTUK Kakinada campus and illustrates the potential of geospatial technologies to enhance hydrologic modelling tools. The deliverables provide a scalable method to design urban drainage networks that are hydrologically resilient, as well as a planning guide for campus development and sustainably manage the stormwater within urban environments in the future.
Key words: EPA SWMM, runoff modeling, storm drainage, urban flooding, GIS hydrology, drainage optimization
