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Iranian rainfall series analysis by means of nonparametric tests

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Abstract

The study of the trends and fluctuations in rainfall has received a great deal of attention, since changes in rainfall patterns may lead to floods or droughts. The objective of this study was to analyze the annual, seasonal, and monthly rainfall time series at seven rain gauge stations in the west of Iran for a 40-year period (from October 1969 to September 2009). The homogeneity of the rainfall data sets at the rain gauge stations was checked by using the cumulative deviations test. Three nonparametric tests, namely Kendall, Spearman, and Mann–Kendall, at the 95 % confidence level were used for the trend analysis and the Theil–Sen estimator was applied for determining the magnitudes of the trends. According to the homogeneity analysis, all of the rainfall series except the September series at Vasaj station were found to be homogeneous. The obtained results showed an insignificant trend in the annual and seasonal rainfall series at the majority of the considered stations. Moreover, only three significant trends were observed at the February rainfall of Aghajanbolaghi station, the November series of Vasaj station, and the March rainfall series of Khomigan station. The findings of this study on the temporal trends of rainfall can be implemented to improve the water resources strategies in the study region.

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Acknowledgments

The author would like to thank the anonymous reviewers for their valuable comments and suggestions which improved the content of the paper. The author would like also to acknowledge the Hamedan Regional Water Co. for providing the data.

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Correspondence to P. Hosseinzadeh Talaee.

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Talaee, P.H. Iranian rainfall series analysis by means of nonparametric tests. Theor Appl Climatol 116, 597–607 (2014). https://doi.org/10.1007/s00704-013-0981-2

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  • DOI: https://doi.org/10.1007/s00704-013-0981-2

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