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Detecting trends of extreme rainfall series in Sicily

机译:西西里岛极端降雨序列的趋势检测

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The objective of the study is to assess the presenceof linear and non linear trends in annual maximum rainfallseries of different durations observed in Sicily. In particular,annual maximum rainfall series with at least 50 years ofrecords starting from the 1920’s are selected, and for each duration(1, 3, 6, 12 and 24 h) the Student’s t test and theMann-Kendall test, respectively, for linear and non linear trend detection,are applied also by means of bootstrap techniques.The effect of trend on the assessment of the return period ofa critical event is also analysed. In particular, return periodsrelated to a storm, recently occurred along the East Coast ofSicily, are computed by estimating parameters based on severalsub-series extracted from the whole observation period.Such return period estimates are also compared with confidenceintervals computed by bootstrap. Results indicate thatfor shorter durations, the investigated series generally exhibitincreasing trends while as longer durations are considered,more and more series exhibit decreasing trends.
机译:该研究的目的是评估西西里岛观测到的不同持续时间的年度最大降雨序列中线性和非线性趋势的存在。特别是,选择了从1920年代开始至少有50年记录的年度最大降雨量序列,并且对于每个持续时间(1、3、6、12和24 h),分别对学生的t检验和Mann-Kendall检验进行线性检验。此外,还通过引导技术应用非线性趋势检测。还分析了趋势对关键事件返回期评估的影响。特别是,通过基于从整个观察期中提取的几个子系列估算参数来计算最近在西西里岛东海岸发生的与风暴有关的返回期,并将此类返回期估计值与通过自举计算的置信区间进行比较。结果表明,对于较短的持续时间,所研究的序列通常呈现出增加的趋势,而当考虑较长的持续时间时,越来越多的序列呈现出下降的趋势。

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