A best-fit probability distribution for the estimation of rainfall in northern regions of Pakistan-Reference-Cited by-同舟云学术

A best-fit probability distribution for the estimation of rainfall in northern regions of Pakistan

Published:2016-01-01 Issue:1 Volume:11 Page:432-440
ISSN:2391-5412
Container-title:Open Life Sciences
language:
Short-container-title:

Author:

Amin M. T.¹²,Rizwan M.³,Alazba A. A.²

Affiliation:

1. 1Department of Environmental Sciences, COMSATS Institute of Information Technology, Abbottabad, 22060, Pakista

2. 2Alamoudi Water Research Chair, King Saud University, P.O. Box 2460, Riyadh 11451, Kingdom of Saudi Arabia

3. 3Department of Civil and Environmental Engineering, Hanyang University, Seoul, South Korea

Abstract

AbstractThis study was designed to find the best-fit probability distribution of annual maximum rainfall based on a twenty-four-hour sample in the northern regions of Pakistan using four probability distributions: normal, log-normal, log-Pearson type-III and Gumbel max. Based on the scores of goodness of fit tests, the normal distribution was found to be the best-fit probability distribution at the Mardan rainfall gauging station. The log-Pearson type-III distribution was found to be the best-fit probability distribution at the rest of the rainfall gauging stations. The maximum values of expected rainfall were calculated using the best-fit probability distributions and can be used by design engineers in future research.

Publisher

Walter de Gruyter GmbH

Subject

General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Neuroscience

Link

https://www.degruyter.com/downloadpdf/journals/biol/11/1/article-p432.xml

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