Modeling urban floods and drainage using SWMM and MIKE URBAN: a case study

Deepak Singh Bisht (), Chandranath Chatterjee, Shivani Kalakoti, Pawan Upadhyay, Manaswinee Sahoo and Ambarnil Panda
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Deepak Singh Bisht: Indian Institute of Technology Kharagpur
Chandranath Chatterjee: Indian Institute of Technology Kharagpur
Shivani Kalakoti: Indian Institute of Technology Kharagpur
Pawan Upadhyay: Indian Institute of Technology Kharagpur
Manaswinee Sahoo: Indian Institute of Technology Kharagpur
Ambarnil Panda: Indian Institute of Technology Kharagpur

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2016, vol. 84, issue 2, No 2, 749-776

Abstract: Abstract To avoid the nuisance of frequent flooding during rainy season, designing an efficient stormwater drainage system has become the need of the hour for present world engineers and urban planners. The present case study deals with providing a solution to stormwater management problem in an urbanized area. Mann–Kendall and Sen’s slope tests are used to perform the trend analysis of rainfall events using daily rainfall data (1956–2012), while the L-moments-based frequency analysis method is employed to estimate the design storm for a small urbanized area in West Bengal, India, using daily annual maximum rainfall (1975–2013). SWMM (Storm Water Management Model) and MIKE URBAN models are used to design an efficient drainage system for the study area. Two-dimensional (2D) MIKE URBAN model is primarily used to overcome the limitation of one-dimensional (1D) SWMM in simulating flood extent and flood inundation. Model simulation results from MIKE URBAN are shown for an extreme rainfall event of July 29, 2013. A multi-purpose detention pond is also designed for groundwater recharge and attenuating the peak of outflow hydrograph at the downstream end during high-intensity rainfall. This study provides an insight into the importance of 2D model to deal with location-specific flooding problems.

Keywords: SWMM; MIKE URBAN; Trend analysis; Design storm; L-moments; Drainage system design; Urban flood modeling (search for similar items in EconPapers)
Date: 2016
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DOI: 10.1007/s11069-016-2455-1

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