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Addressing uncertainty in extreme rainfall intensity for semi-arid urban regions: case study of Delhi, India

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Abstract

Classical approaches are used to develop rainfall intensity duration frequency curves for the estimation of design rainfall intensities corresponding to various return periods. The study modelled extreme rainfall intensities at different durations and compared the classical Gumbel and generalized extreme value (GEV) distributions in semi-arid urban region. The model and parameter uncertainties are translated to uncertainties in design storm estimates. A broader insight emerges that rainfall extremes in 1 h and 3 h are sensitive to the choice of frequency analysis (GEV in this case) and helps address anticipated intensification of extreme events for short duration at urban local scale. In comparison with Gumbel, GEV predicts higher extreme rainfall intensity corresponding to various return periods and duration (for 1-h duration the increase in extreme rainfall intensity is from 27 to 33% for return periods 10 years and higher, 3-h and 50-year return period—20%, 3-h and 100-year return period—20.6%, 24 h at similar return periods—10%). The Bayesian posterior distribution has a calibration effect on the GEV predictions and reduces the upper range of uncertainty in the GEV probability model prediction from a range of 16–31% to 10–28.4% for return period varying from 10 to 50 year for 1-h storms. In geographically similar areas these extreme intensities may be used to prepare for the rising flash flood risks.

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Fig. 1

Source: (Delhi Traffic Police 2013) Elevation map of Delhi is shown using SRTM 30-m DEM

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Acknowledgements

The India Meteorological Department (IMD) is acknowledged for providing hourly rainfall data. This research did not receive any specific grant from the funding agencies in the public, commercial, or not for profit sectors. This research received a seed grant from TERI School of Advanced Studies, New Delhi. The authors wish to thank their colleague Dr. Sherly MA for going through the manuscript.

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The research methodology was designed by Prof. Prateek Sharma, Ms. RRC carried out the research and data analysis and wrote the manuscript. Professor PS supervised the research and data analysis and refined the ideas and contributed in finalizing the paper.

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Correspondence to Ranjana Ray Chaudhuri.

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The authors would like to report no conflict of interest. The study is a part of the first author’s Ph.D. research work.

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Chaudhuri, R.R., Sharma, P. Addressing uncertainty in extreme rainfall intensity for semi-arid urban regions: case study of Delhi, India. Nat Hazards 104, 2307–2324 (2020). https://doi.org/10.1007/s11069-020-04273-5

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  • DOI: https://doi.org/10.1007/s11069-020-04273-5

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