Urban storm-water modeling using EPA SWMM — a case study of Pune city


Journal article


N. Sonavane, Vinay Ashok Rangari, M. Waikar, Mahesh Patil
2020 IEEE Bangalore Humanitarian Technology Conference (B-HTC), 2020

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APA   Click to copy
Sonavane, N., Rangari, V. A., Waikar, M., & Patil, M. (2020). Urban storm-water modeling using EPA SWMM — a case study of Pune city. 2020 IEEE Bangalore Humanitarian Technology Conference (B-HTC).


Chicago/Turabian   Click to copy
Sonavane, N., Vinay Ashok Rangari, M. Waikar, and Mahesh Patil. “Urban Storm-Water Modeling Using EPA SWMM — a Case Study of Pune City.” 2020 IEEE Bangalore Humanitarian Technology Conference (B-HTC) (2020).


MLA   Click to copy
Sonavane, N., et al. “Urban Storm-Water Modeling Using EPA SWMM — a Case Study of Pune City.” 2020 IEEE Bangalore Humanitarian Technology Conference (B-HTC), 2020.


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@article{n2020a,
  title = {Urban storm-water modeling using EPA SWMM — a case study of Pune city},
  year = {2020},
  journal = {2020 IEEE Bangalore Humanitarian Technology Conference (B-HTC)},
  author = {Sonavane, N. and Rangari, Vinay Ashok and Waikar, M. and Patil, Mahesh}
}

Abstract

In the modern era, the development paradigm is inclined towards urban storm-water management and population growth, urbanization, and climate change are the major concerns in the development. Sequential flooding in urban areas has become a major concern to the city planners and modelers. The role of storm-water modeling is vital to check flash floods and issues related to the quantity and quality of storm-water. EPA SWMM has proven an effective tool for particularly in urban watersheds to effective analysis, management, and design of drainage system network. This study presents a storm-water modeling approach in concern with flooding's in urbanized watersheds using EPA SWMM 5.1 model. Pune-Urban, the cultural capital of Maharashtra State is considered as study area model development and simulated using critical rainfall events in the past. GIS approach is engaged in data handling and preparation. The simulation results show that the available drainage is not capable to handle the extreme rain intensities and overwhelm with a splash of rainfall. The surcharge junctions are identified as J-3, J-9, J-11, and J-21. Thus to avoid/reduce the flooding due to surcharging, the model suggests increasing the drain size joining these junctions or provide an alternate arrangement to carry the excessive flows.


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