首页> 外文期刊>International Journal of Climatology: A Journal of the Royal Meteorological Society >Regional analysis of trend and non-stationarity of hydro-climatic time series in the Southern Alborz Region, Iran
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Regional analysis of trend and non-stationarity of hydro-climatic time series in the Southern Alborz Region, Iran

机译:伊朗南方南方水利气候时间系列趋势与非公平性的区域分析

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摘要

Analysis of the trend of climatic records is necessary for better climate modelling and subsequently adopting effective planning and management strategies. In this research, the Southern Alborz Range, Iran was selected to analyse the trends and stationarity of hydro-climatic time series. The Mann-Kendall (M-K) classic test was considered to identify the monotonic trend, while trend free pre-whitening approach was applied for eliminating serial correlation from the time series. Meanwhile, time series stationarity was tested by Kwiatkowski-Phillips-Schmidt-Shin (KPSS) test. The results indicated both increasing and decreasing trends for precipitation, mean air temperature and pan evaporation in annual time-scale which were insignificant in most of the stations. The western parts of the area illustrated the highest positive trend (2.018 mm.year(-1)) in annual precipitation; while the south of the study region showed the highest negative trend (-0.999 mm.year(-1)). The highest warming trend belongs to the northern parts of the region (0.035 degrees C.year(-1)); while the western parts show the highest negative trend in temperature variable (-0.07 degrees C.year(-1)); on the other hand, in the entire of the region, an insignificant decreasing trend is observed in most of the evaporation records. Non-stationarity tested with the KPSS suggested annual time series to be significantly stationary after de-trending and removing lag-1 serial correlation. The findings of this investigation may provide important information about the climate of the region and consequently help to implement better management and planning strategies for scarce water resources of the region.
机译:对更好的气候建模以及随后采用有效的规划和管理策略,对气候记录趋势分析是必要的。在这项研究中,选择了南方南方的伊朗,分析了水力气候时间序列的趋势和实用性。 Mann-Kendall(M-K)经典测试被认为是识别单调趋势,而趋势免费预美化方法应用于消除时间序列的串联相关性。与此同时,时间序列由Kwiatkowski-Phillips-Schmidt-shin(KPSS)测试测试。结果表明,沉淀趋势的增加和降低趋势,平均空气温度和平底锅在大部分车站中微不足道的年度规模蒸发。该地区的西部地区的阳性趋势最高(2.018 mm.year(-1))中降水;虽然研究区域的南部显示出最大的负趋势(-0.999 mm.year(-1))。最高的变暖趋势属于该地区的北部(0.035摄氏度(-1));虽然西部零部件显示温度变量的最高负趋势(-0.07度C.year(-1));另一方面,在整个区域中,在大多数蒸发记录中观察到微不足道的降低趋势。使用KPSS测试的非公平性建议年时间序列在去趋势和去除LAG-1序列相关后明显静止。该调查的调查结果可以提供有关该地区气候的重要信息,从而有助于实施该地区稀缺水资源的更好管理和规划战略。

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