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Urban floods in Hyderabad, India, under present and future rainfall scenarios: a case study

  • Swathi Vemula
  • K. Srinivasa Raju
  • S. Sai Veena
  • A. Santosh Kumar
Original Paper

Abstract

This study assesses and evaluates the impacts of future extreme rainfall event(s) on conveyance capacity of urban Storm Water Network (SWN) of Hyderabad City, India, along with flood risk analysis and inundation mapping. The catchment runoff volume was simulated using Storm Water Management Model (SWMM). The runoff simulations were carried out for historic and future extreme rainfall event(s). Future rainfall events were simulated under climate change scenarios using Global Climate Model (GCM), GFDL-CM3 of Coupled Model Intercomparison Project Phase 5 (CMIP5). Nonlinear regression-based statistical downscaling was used to obtain rainfall at regional scale for Representative Concentration Pathways (RCPs) 2.6, 4.5, 6.0 and 8.5. It was found that RCPs 2.6, 4.5, 6.0 and 8.5 predicted a future extreme rainfall of 693 mm, 431 mm, 282 mm and 564 mm for the years 2088, 2098, 2040 and 2068, respectively. SWMM results indicated that the future extreme rainfall in Hyderabad can result in increased runoff volumes causing flooding. The existing SWN was capable of handling RCP 6.0 with 82% runoff. However, it was inadequate to convey runoff from RCPs 2.6, 4.5 and 8.5. Modelling results suggest that the conveyance capacity of storm drains can be increased by 25–30% by desilting major drains and outlets.

Keywords

Climate change Extreme rainfall events Representative concentration pathways Storm water management model Urban floods Hyderabad 

Notes

Acknowledgements

This work is supported by Information Technology Research Academy (ITRA), Government of India under, ITRA-water grant ITRA/15(68)/water/IUFM/01. Authors thank officials of Greater Hyderabad Municipal Corporation (GHMC) for providing storm water network data, brain storming discussions, valuable suggestions and facilitating for field surveys. Special acknowledgments to Mr D. Ravinder, Superintending Engineer, GHMC, for providing data and valuable thought provoking discussions. We acknowledge the World Climate Research Programme’s Working Group on Coupled Modelling, which is responsible for CMIP5, and we thank the climate modelling groups for producing and making their model output available. For CMIP, the US Department of Energy’s Program for Climate Model Diagnosis and Intercomparison provides coordinating support and led development of software infrastructure in partnership with the Global Organisation for Earth System Science Portals. We thank the India Meteorological Department (IMD) and National Centers for Environmental Prediction (NCEP) for providing rainfall data. We thank United States Environmental Protection Agency (US EPA) for making Storm Water Management Model (SWMM) an open source software, and authors also thank Google Earth for its open source images. We extend special acknowledgments to Dr Murari RR Varma, Prof D.Nagesh Kumar and Prof N. V. Umamahesh for suggesting improvements in the manuscript.

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Copyright information

© Springer Nature B.V. 2018

Authors and Affiliations

  • Swathi Vemula
    • 1
  • K. Srinivasa Raju
    • 1
  • S. Sai Veena
    • 1
  • A. Santosh Kumar
    • 1
  1. 1.Department of Civil EngineeringBirla Institute of Technology and ScienceHyderabadIndia

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