Modelling of Intensity-Duration Frequency curves for Upper Cauvery Karnataka through Normal Distribution
Mohammed Badiuddin Parvez1, Amritha Thankachan2, Chalapathi k3, M .Inayathulla4
1Mohammed Badiuddin Parvez, Research Scholar, Department of Civil Engineering, UVCE, Bangalore University, Bangalore, Karnataka, India.
2Amritha Thankachan, Research Scholar, Department of Civil Engineering, UVCE, Bangalore University, Bangalore, Karnataka, India.
3Chalapathi k, Research Scholar, Department of Civil Engineering, UVCE, Bangalore University, Bangalore, Karnataka, India.
4M .Inayathulla, Professor, Department of Civil Engineering, UVCE, Bangalore University, Bangalore, Karnataka, India.
Manuscript received on October 12, 2019. | Revised Manuscript received on 22 October, 2019. | Manuscript published on November 10, 2019. | PP: 4480-4502 | Volume-9 Issue-1, November 2019. | Retrieval Number: A4410119119/2019©BEIESP | DOI: 10.35940/ijitee.A4410.119119
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The IDF Curves accessible are for the most part done by fitting arrangement of yearly greatest precipitation force to parametric dispersions. Intensity-duration-frequency (IDF) curves represent the relationship between storm intensity, storm duration and return period. Environmental change is relied upon to intensify the boundaries in the atmosphere factors. Being prone to harsh climate impacts, it is very crucial to study extreme rainfall-induced flooding for short durations over regions that are rapidly growing. One way to approach the extremes is by the application of the Intensity-Duration-Frequency (IDF) curves. The annual maximum rainfall intensity (AMRI) characteristics are often used to construct these IDF curves that are being used in several infrastructure designs for urban areas. Thus, there is a necessity to obtain high temporal and spatial resolution rainfall information. Many urban areas of developing countries lack long records of short-duration rainfall. The shortest duration obtained is normally at a daily scale/24 h. Thus, it is very crucial to find a methodology to construct IDF curves for short-duration rainfall (sub-daily) for these urban areas. The fast extension of urban area that does not have adequate preparedness to cope with climate change is certainly a big risk to life and economy. The study region lies in Karnataka India. The sub-daily IDF curves for current and future climate for the region were constructed from 1 to 24 h based on the Normal Distribution approach. Rainfall data of 23 (Twenty three) hydrological years of all stations were used. Maximum rainfall frequency analysis was made by Normal Distribution method. Finally Equations were developed for different return periods.
Keywords: Climate change, Intensity Duration Frequency (IDF), Normal Distribution, Rainfall Duration.
Scope of the Article: Frequency Selective Surface