Mishra, SushreeSardar, Abusajid (14DCES50)Mirza, Nafeesa (14DCES66)Ansari, Fahad (14DCES51)Siddique, Adnan (13CES57)2017-06-052017-06-052017-04http://www.aiktcdspace.org:8080/jspui/handle/123456789/1995Mumbai is experiencing wide variation in spatial-temporal distribution of rainfall and subsequent water scarcity and flooding conditions. Hence, rainfall analysis was carried out in Mumbai metropolitan region using the daily rainfall data of 20 years at Colaba and Santacruz stations. It was observed that aberrant variation in rainfall event in monsoon months causes heavy rainfall resulting in water logging and subsequent flooding conditions. An analysis of monthly one day maximum rainfall, yearly one day maximum rainfall and seasonal one day maximum rainfall of colaba and Santacruz raingauge stations showed that the study area was facing huge variation in rainfall pattern which often causes flooding conditions. The maximum rainfall recorded was 944.2 mm/day on 26thjuly 2005 which caused flooding in Mumbai city which caused in loss of human life and property. By considering 944.2 mm/day, of rainfall return period was calculated using Weibull’s formula it is observed that the highest return period is 20 years and the lowest return period is 1 year. So we have taken this return periods into account and generated IDF curves for 2,3,5,.10,15,20,30,50,70,100 years. Intensity duration frequency (IDF) curves were generated by using Gumbel’s Equation. The IDF curves at a duration of 24 hours predicted the intensity of rainfall for Colaba raingauge station as 346.944 mm/day and for santacruz raingauge station as 821.64 mm/day, for 100 year return period . This obtained rainfall was then used to calculate runoff for Mumbai city by using rational formula and calculated as 2072.5 m3/sec.en-USProject Report - CEDesign and management of urban storm water drainage system in coastal citiesProject Report