๐๐ง๐ค๐๐๐๐ฉ๐๐ ๐๐๐๐ฃ๐๐๐ก๐ก ๐๐ฃ๐ฉ๐๐ฃ๐จ๐๐ฉ๐ฎ ๐ฟ๐ช๐ง๐๐ฉ๐๐ค๐ฃ ๐๐ง๐๐ฆ๐ช๐๐ฃ๐๐ฎ ๐๐๐ก๐๐ฉ๐๐ค๐ฃ๐จ๐๐๐ฅ๐จ ๐ช๐ฃ๐๐๐ง ๐พ๐ก๐๐ข๐๐ฉ๐ ๐พ๐๐๐ฃ๐๐: ๐ผ ๐พ๐๐จ๐ ๐๐ฉ๐ช๐๐ฎ ๐๐๐๐ฃ๐ ๐พ๐๐ฉ๐ฎ
Projected Rainfall Intensity Duration Frequency Relationships under Climate Change: A Case Study Thane City
Article ID: 4995
DOI: https://doi.org/10.30564/jees.v4i2.4995
Abstract
Climate change is the most important factor to increase in short-duration high-intensity rainfall and consequent flooding. Intensity-DurationFrequency (IDF) curves are commonly used tools in Stormwater design, so a method to derive future IDF curves including climate change effect could be necessary for the mainstreaming climate change information into storm water planning. The objective of the present study is to define a mechanism to reflect the effect of climate change into the projected rainfall IDF relationships. For this, the continuously observed hourly rainfall data from 1969 to 2018 were divided into five subgroups. Then the IDF curve of each subgroup is defined. The rainfall intensity for the next 30 years was then estimated using a linear regression model. The obtained result indicates that for the same duration and for the same return period, the rainfall intensity is likely to increase over time: 17% (2019-2028), 25% (2029-2038) and 32% (2039-2048). However, the findings presented in this paper will be useful for local authorities and decision makers in terms of improving stormwater design and future flood damage will be avoided.
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