Evaluation of Long Term Trend of Different Drought Indices Using Mann-Kendall and Sen’s Slope Estimator Over Iran

Abstract

Abstract. Historically droughts have had a huge impact on conditions of life on earth. With growing population of the Earth the impacts of droughts grow even more severe. Human beings are also affected by drought like other life forms. Studies have taken place to understand and thereby mitigate the effects of these climatological phenomena on humans. The study of drought trends is of great importance since it is directly related to food and water resources availability, that could become scarce in case of droughts. In this paper by using SPI, SSI and TSDI indices we try to understand the drought behaviour in Iran using Mann-Kendall and Sen’s slope methods. Canonical correlation analysis between SPI and SSI shows a positive correlation for the most parts of Iran. Also the correlation between TSDI and SPI/SSI is positive for majority of the Iran. Drought trends in Iran are analysed using Mann-Kendall and Sen’s slope estimator with 95% confidence level.

Variations in actual evapotranspiration and their influence on the seasonal drought in China's Southeastern River basin

“…The Mann-Kendall (M-K) nonparametric trend test method is widely employed in analyzing climate parameters and hydrological series due to its robustness against outliers and independence from distributional assumptions [29][30][31] . In this study, the M-K method was employed to calculate trends and mutations in ET a variation, and Sen's estimation was used to estimate trend rates 32,33 .…”