Trend Analysis Using Mann-kendall And Sen’s Slope Estimator Test for Annual And Monthly Rainfall for Sinjar District, Iraq

By Fawaz Kh. Aswad, A. Yousif, S. A. Ibrahim. The Journal of The University of Duhok, 2020

50 citations recorded by the source corpus.

The time series rainfall data of 70 years (1940 – 2010) of Sinjar District used to identify the trend and slope magnitude of this series. To analyze the trend, the non-parametric test (Mann-Kendall test) and Sen’s slope estimator were used. For developing a functional relationship between variables, a linear trend of rainfall data for the studied area evaluated using the linear regression. The annual trend analysis showed decreasing trend because the value of MannKendall’s tau and the magnitude of Sen’s slope estimator were both negative and was found to be 0.06501 and -0.7283, respectively. Also for the slope of the linear regression was negative and equal to −0.916 mm/year, which represents the rate of decreasing in trend for yearly annual rainfall. In addition, the results showed that the trend analysis of monthly rainfall has a varied trend of rainfall in the rainy months. Finally, the results showed a positive trend (increasing) for the months of October and April and negative trend (decreasing) for the other months.

Subfields: Environmental Engineering, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/423e9d7e5bef07469ff4981e6bfc060a2ac6dc8e