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Reconstruction of a Storm Map and New Approach in the Definition of Categories of the Extreme Rainfall, Northeastern Sicily

机译:西西里岛东北部暴雨图的重建和极端降雨类别定义的新方法

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After more than 350 mm of rainfall fell in a few hours on 22 November 2011, thousands of landslides and floods were induced in two main zones of Northeastern Sicily. The total rainfall has been reconstructed integrating available rain gauge data with Tropical Rainfall Measuring Mission (TRMM) satellite data from NASA (National Aeronautics and Space Administration); the landslide distribution in the field has confirmed the pattern of rainfall accumulated on 22 November 2011. Precipitation maxima of 1, 3, 6, 12, and 24 h was recognized as the hazardous events, which marks the evidence of a changing climate, with a shift toward more intense rainfalls in recent times. To investigate the sequence of the annual maxima, the historical time series have been transformed in the Standard normal distribution, from the cumulative probability of the GEV (Generalized Extreme Value) distribution. Following a similar definition of the Standard Precipitation Index (SPI), the transformation of the historical data in the standardized values allows the definition of categories of hourly maxima in term of extreme, severe, moderate, or mild. This transformation allows to eliminate the asymmetry of the time series, so that trends and fluctuations have been highlighted by the progressive accumulation of data (Rescaled Adjust Partial Sum). This statistical approach allows the improvement of the interpretability of the hydrological extreme events, and could also be used in other cases.
机译:在2011年11月22日的几个小时内,超过350毫米的降雨量下降之后,西西里岛东北两个主要区域引发了数千次滑坡和洪水。总雨量已经重建,将可用的雨量计数据与来自NASA(国家航空航天局)的热带雨量测量任务(TRMM)卫星数据相结合;现场的滑坡分布已确认了2011年11月22日的降雨模式。最大的1、3、6、12和24 h降水被认为是危险事件,这标志着气候变化的证据,转向最近的强降雨。为了研究年度最大值的序列,已从GEV(广义极值)分布的累积概率将历史时间序列转换为标准正态分布。按照标准降水指数(SPI)的类似定义,通过将历史数据转换为标准值,可以定义小时最大值的类别,包括极端,严重,中度或轻度。这种转换可以消除时间序列的不对称性,因此趋势和波动已通过逐步积累的数据(重新定标的调整部分和)而突出显示。这种统计方法可以改善水文极端事件的可解释性,也可以在其他情况下使用。

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