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Abstract

Biodiversity Online J

Assessment of Annual Rainfall Probabilities of Zabol Using Fuzzy Probability Rules

  • Parviz HJ1*, Jamshid P1 and Mohammad G2

    1Department of Water Engineering, Faculty of Water and Soil, University of Zabol, Iran

    2Technical and Infrastructural Unit of the Agricultural Jihad Management of Kouhpayeh, Iran

    *Corresponding author:Parviz Haghighat Jou, Associate and Assistant professors, Department of Water Engineering, Faculty of Water and Soil, University of Zabol, Iran

Submission: June 23, 2024;Published: July 30, 2024

DOI: 10.31031/BOJ.2024.04.000599

ISSN : 2640-9275
Volume4 Issue5

Abstract

This article is devoted to assessment of annual precipitation probabilities of Zabol using fuzzy probability rules along with comparing the obtained results with classical probability rules. Annual precipitation data of Zabol synoptic station during 1961 to 2010 which consists a sample size of 50 years are collected from Iranian meteorological organization yearbooks. The classical and fuzzy probabilities are calculated with respect to relative frequency distribution of mentioned data. The results showed that the probability of very low, low and relatively low rainfall is equal to 78 and 61%, respectively, based on classical and fuzzy probability. Also, the probability of heavy rainfall based on classical and fuzzy probability is 12 and 13 percent, respectively. The results and evidences show that it is preferable to use the fuzzy probability rules.

Keywords:Classical probability rules; Relative frequency distribution; Data categorizing

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