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Temporal Variation of Trend in Seasonal and Annual Rainfall in Southwest Ethiopia in Case of Drought Prone Wolaita Zone

机译:干旱多发的沃莱塔地区西南埃塞俄比亚季节性和年度降雨趋势的时间变化

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Monthly total rainfall data of ten stations were obtained from the south region meteorology office for cash. Stations data vary in time of record and the number of missing values. Stations which have more than ten percent missing data over their recording period are excluded from the study. This reduces the number of stations to eight. Missing values were estimated using linear regression of neighbor stations with none missing value. After infilling, seasonal Spring ('Belg', February-May) and summer ('Kiremt', June-September) and annual total data were prepared by summing monthly values in respective time scale. Following the test for the presence of autocorrelation, Mann–Kendall (Modified Mann–Kendall) test was applied to non-auto correlated (auto correlated) series to detect the trends in rainfall data. Theil and Sen's slope estimator test was used for quantifying the magnitude of change over a time period. In addition, the percentage change of the mean over a period of time was determined too. In annual rainfall data three stations show decreasing trend while the rest five stations show an increasing trend, however, all trends observed in annual data were non-significant. Based on seasonal trend analysis, non-significant trends were observed in seven stations(four increasing and three decreasing) and one station show a significant decreasing trend in spring. During summer seven (six increasing and one decreasing) non-significant and one significant decreasing trends were observed.
机译:从南部地区气象局获取了十个站点的月总降雨量数据,以获取现金。测站数据的记录时间和缺失值的数量会有所不同。该研究排除了在其记录期间丢失数据超过百分之十的台站。这样可以将站数减少到八个。使用不丢失值的相邻站的线性回归来估计丢失值。填充后,通过汇总各个时间范围内的月度值来准备季节性春季(“ Belg”,2月至5月)和夏季(“ Kiremt”,6月至9月)和年度总计数据。在测试了自相关的存在之后,将Mann-Kendall(修改后的Mann-Kendall)测试应用于非自相关(自相关)序列,以检测降雨数据的趋势。 Theil和Sen的斜率估计器测试用于量化一段时间内的变化幅度。此外,还确定了一段时间内平均值的百分比变化。在年降水量数据中,三个站呈下降趋势,而其余五个站呈上升趋势,但是,年度数据中观察到的所有趋势均不显着。根据季节趋势分析,春季7个站(4个增加和3个减少)观察到非显着趋势,而1个站显示出明显的减少趋势。在夏季,观察到七个(六个增加和一个减少)无显着变化和一个显着下降的趋势。

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