Author
Listed:
- Mohammed Foudil Bourouba
(Computer Sciences Department, College of Applied Sciences, Al Maarefa University, Riyadh)
- Mustfa Faisal Alkhanani
(Biology Department, College of Sciences, University of Hafr Al Batin)
- Oumar Loni Lafouza
(Ministry of Environment, Water and Agriculture, Riyadh Saudi Arabia)
Abstract
This study uses the Frequency analysis of the maximum daily and annual rainfall recorded during the period 1976-2020 at eight rain-measuring stations in the Ha’il region: Jubbah (106H-196), Baqa’a (103H-193), Simirah (105H-793), Uqlah Ibn Jibrin (208H-508) and Faydat Ibn Suwaylim (108H-198), Al Ha’it (111H-797), Al Ghazalah (215H-812) and Ha’il (101H-191), currently supervised by the Ministry of Environment, Water and Agriculture (MEWA). These stations were selected due to their locations in the Hail region, which is in great urban development causing an increase in demand for water resources to meet the growing population in urban centers. This paper compares four probability distributions (Normal, Log Normal, Gumbel and Exponential) using the rainfall data recorded in eight rain stations located in Ha’il area. Sets of data cover a period of about 45 years. Therefore, this study aims to estimate the maximum daily and annual rainfall by applying 4-four probability distributions, which are the Normal, the Log-Normal, the Exponential, and the Extreme Values-type 1, using the (Chow) model estimation. Results showed that Gumbel (EV 1) distribution has the least critical values in the tests. Hence, it is considered the best fit distribution for annual rainfall in Simirah and Baq’a. Furthermore, based on the results, it is evident that the exponential distribution is the best in Al Ha’it, Faydat Ibn Suwaylim, Al Ghazalah, Ha’il, and Jubbah. Whilst, the log normal distribution is the best in Al Uqlat. The results also showed that Gumbel (EV 1) distribution has the least critical values in the tests. Thus, it is regarded as the best-fit distribution for the maximum daily rainfall in Simirah and Ha’il, and the normal distribution is considered the best for the rest of the rain stations.
Suggested Citation
Mohammed Foudil Bourouba & Mustfa Faisal Alkhanani & Oumar Loni Lafouza, 2023.
"Frequency Analysis Of Annual And Maximum Daily Rainfall In Ha’Il Area Using Probability Distribution Models,"
Earth Sciences Malaysia (ESMY), Zibeline International Publishing, vol. 7(2), pages 130-141, May.
Handle:
RePEc:zib:zbesmy:v:7:y:2023:i:2:p:130-141
DOI: 10.26480/esmy.02.2023.130.141
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zib:zbesmy:v:7:y:2023:i:2:p:130-141. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Zibeline International Publishing (email available below). General contact details of provider: https://earthsciencesmalaysia.com/ .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.