Journal of Kirkuk University For Administrative and Economic Sciences

Using Markov Chains to Predict Precipitation Probabilities in Sulaymaniyah Governorate for the Years (1993 - 2019)

Authors

Bestan B. Marwf
Sham A. Rahim
Botan K. Ahmed
Hendren A. Tahir

University of Kirkuk Journal For Administrative and Economic Science

Abstract
The issue of estimating the rainfall rate is one of the important issues that need to be studied and analyzed through the interrelationship between the years and the rate of rain. The precipitation was from (1993 to 2019), and the lowest rainfall was 154 mm and the highest was 1137 mm. We classified the data into four categories (dry state, low state, and normal state, high state) and the results of the predictions were a Markov matrix in 28 years Next, the percentage of precipitation will be in the normal state and high, which means that it will be between (551 to 1137) milliliters, and this is a good indicator of the increase in the water revolution in the Kurdistan region.

 

Keywords

rainfall
drought
water revolution
Journal of Kirkuk University For Administrative and Economic Sciences
Volume 11, Issue 2
Autumn 2021
Pages 324-339

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