1Research Scholar, Department of Civil Engineering, BMS Institute of Technology and Management, Bangalore
2Professor, Department of Civil Engineering, BMS Institute of Technology and Management, Bangalore, (Affiliated to Visvesvaraya Technological University, Belagavi)
Flooding in an urban environment is increasingly becoming more of a man-made disaster waiting to occur than a natural calamity in the recent past. Expansion of cities and its population are taking a toll on resources required to maintain a sustainable balance, escalating socio-economic losses and environmental impact. Rainfall dynamicity study assesses flood risks and strategies assisting in monitoring and mitigating urban flood scenarios. Rainfall departure from the normal of 846 mm has seen an average yearly increase of 6% and an average of 7% year-on-year deviation from1963 to 2023. Terrain analysis during satellite image classification, highlighted the maximum urban development of 24%, and the highest loss of open lands of 13%, during the last decade from 2003 to 2013. Rainfall Intensity-Duration-Frequency curves are developed for Bangalore city using historical daily rainfall data from 2004, i.e. 20-year data. The equation generated y = 27.861×-0.667 for a 5-year recurrence interval, will assist in estimating flood peak discharge for urban watershed planning, and management of flood control programs. Correlating rainfall and runoff, the R2 value, coefficient of determination, is 0.9919, close to unity, showing the NRCS curve number runoff estimation model used is a good fit for the study area.
Rainfall Trends, IDF Curves, Urbanization, Runoff Estimation, Geographical Information System, Remote Sensing
