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Utilizing satellite data to establish rainfall intensity-duration-frequency curves for major cities in Iraq

Zeri, Sarah Jabbar and Hamed, Mohammed Magdy and Wang, Xiaojun and Shahid, Shamsuddin (2023) Utilizing satellite data to establish rainfall intensity-duration-frequency curves for major cities in Iraq. Water, 15 (5). pp. 1-22. ISSN 2073-4441

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Official URL: http://dx.doi.org/10.3390/w15050852

Abstract

This study generates intensity-duration-frequency curves for three important cities in Iraq using Global Precipitation Measurement Integrated Multi-Satellite Retrievals for Global Precipitation Measurement (IMERG), Global Satellite Mapping of Precipitation near real-time (GSMaP NRT), and gauge corrected (GSMaP GC) satellite precipitation datasets. Many probability distribution functions were used to fit the maximum yearly rainfall data. The Sherman equation was used to create intensity-duration-frequency (IDF) curves for rainfall intensities with 2-, 5-, 10-, 25-, 50-, and 100-year return periods, with the estimated coefficients of the best-fit distribution serving as the fitting parameters. The discrepancy between the IDF curves produced from the satellites and the observed data was used to bias correct the satellite IDF curves. The Generalized Extreme Value Distribution model best describes the hourly rainfall distribution of satellite data. GSMaP GC was the best option for creating IDF curves with higher correlations with observed data at Baghdad, Basra, and Mosul. The study indicates the necessity of gauge correction of satellite rainfall data to reduce under- and over-estimating observed rainfall. GSMaP GC can reasonably estimate rainfall in a predominantly arid climate region like Iraq. The generated IDF curves may be an important step toward achieving sustainable urban stormwater management in the country.

Item Type:Article
Uncontrolled Keywords:IDF curve, information shortage, stormwater management, urban flooding
Subjects:T Technology > TA Engineering (General). Civil engineering (General)
Divisions:Civil Engineering
ID Code:107562
Deposited By: Yanti Mohd Shah
Deposited On:23 Sep 2024 06:13
Last Modified:23 Sep 2024 06:13

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