Estimate Probability Distribution of Monthly Maximum Daily Rainfall of Iraq
| Autor: | Wedyan G. Nassif, Hasanain K. A. AL-Shamarti, Ali J. Mohammed, Osama T. Al-Taai |
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| Rok vydání: | 2021 |
| Předmět: | |
| Zdroj: | Journal of Physics: Conference Series. 1804:012078 |
| ISSN: | 1742-6596 1742-6588 |
| DOI: | 10.1088/1742-6596/1804/1/012078 |
| Popis: | Precipitation is very important to humankind, as it represents a pure source of water beside the earth. Therefore, many researchers are interested in rain. In this study, the monthly data for the amount of rainfall for fourteen stations (Baghdad, Basra, Diwania, Kirkuk, Smaw, Tikirit, Rutb, Mousl, Alialgarbi, talafer, Kut, samara, Hali, and Nasiriya) in Iraq was collected from the General Authority for Meteorology and Seismic Monitoring, the maximum understanding of precipitation behavior, was tested the data according to tests Kolmogorov-Smirnov. Anderson, Chi-Squared, The 20 probability distributions were applied to find the appropriate distribution of this data. Was found that the Mosul station has the largest amount of rain from other stations and that this data follows the distribution Log-Gamma Which is considered the best distribution according to the tests, while Basra station takes to distribute Burr (4p), while, Rutba Station takes logistical distribution while Baghdad Log-Pearson 3 Station, despite the maximum monthly precipitation, Baghdad has more statistics than Rutba. |
| Databáze: | OpenAIRE |
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