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Information Journal Paper

Title

Trend analysis of maximum wind speeds of Sistan 120-days wind using Mann-Kendall and Sens Estimators slope tests

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Abstract

 The aim of this article is to examin the trend of wind speed changes in Zabol synoptic station by using of nonparametric statistical methods. Mann-Kendall and Sens Estimators slope tests were used for Trend analysis of mean monthly wind velocity, maximum wind and maximum wind frequency in Zabol synoptic station during 1963-2014. The results showed that two methods in all months in %95 confidence level were nearly in the same. Besides Mann-Kendall test has not shown special trend while in the method of Sens Estimators slope has shown special trend. The results showed that non-trend in maximum wind velosity in Sens Estimators slope in%95 confidence level and%99 while in Mann-Kendall test during August confidence level was different. The results of velosity changes in Zabol synoptic station during 1963-2014 which the 120 days winds increased were increasingly and positive which this increase in the wind maximum speed were sensible than average wind speed. The results of this study show that there is significance positive trend in both average quantity velosity wind and maximum wind.

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    APA: Copy

    Poudineh, e., SALAHI, B., KHOSRAVI, M., & Hamidianpour, m.. (2018). Trend analysis of maximum wind speeds of Sistan 120-days wind using Mann-Kendall and Sens Estimators slope tests. RESEARCHES IN EARTH SCIENCES, 9(34 ), 0-0. SID. https://sid.ir/paper/366863/en

    Vancouver: Copy

    Poudineh e., SALAHI B., KHOSRAVI M., Hamidianpour m.. Trend analysis of maximum wind speeds of Sistan 120-days wind using Mann-Kendall and Sens Estimators slope tests. RESEARCHES IN EARTH SCIENCES[Internet]. 2018;9(34 ):0-0. Available from: https://sid.ir/paper/366863/en

    IEEE: Copy

    e. Poudineh, B. SALAHI, M. KHOSRAVI, and m. Hamidianpour, “Trend analysis of maximum wind speeds of Sistan 120-days wind using Mann-Kendall and Sens Estimators slope tests,” RESEARCHES IN EARTH SCIENCES, vol. 9, no. 34 , pp. 0–0, 2018, [Online]. Available: https://sid.ir/paper/366863/en

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