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Investigating the variation and non-stationarity in precipitation extremes based on the concept of event-based extreme precipitation

机译:基于基于事件的极端降水概念研究极端降水的变化和非平稳性

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Extreme precipitations (EP) could induce a series of social, environmental and ecological problems. Traditional EP analysis usually investigated the characteristics based on a fixed time scale and therefore ignored the continuity of EP occurrence. As a result, a comprehensive assessment on the influence and consequence of the EP occurring during consecutive time periods were largely eliminated. On the other hand, the characteristics of EP, including variables such as frequency, intensity and extreme volume, were commonly defined without sufficient consideration of the local tolerance capacity (which can be represented by a threshold level of EP) and therefore would sometimes be inappropriate. In this study, we proposed a concept of event-based extreme precipitation (EEP) by considering the continuity of EP and defined the statistical variables for the characteristics of an EEP event by taking account of local tolerance capacity. An EEP was identified as a collection of precipitation data over the consecutive time period in which all the precipitation amounts are above the pre-defined threshold, and EEP events are separated by at least one time step (e.g., day or hour) with precipitation amount below the threshold. As a case study which in fact motivated our proposal, we investigated the changes and variations of EEP with the consideration of potential non-stationarity in the Hanjiang River Basin of China (HJRB) during the time period of 1960-2013. Results showed that the concept of EEP, which could reflect the impact of continuity of EP occurrence and mirror the differences of local tolerance capacity, was more appropriate than the traditional method in the EP analysis. Crown Copyright (C) 2015 Published by Elsevier B.V. All rights reserved.
机译:极端降水(EP)可能引发一系列社会,环境和生态问题。传统的EP分析通常基于固定的时间尺度来研究特征,因此忽略了EP发生的连续性。结果,很大程度上消除了对EP在连续时间段内发生的影响和后果的综合评估。另一方面,EP的特征(包括频率,强度和极限体积之类的变量)通常是在没有充分考虑局部公差能力(可以由EP的阈值水平表示)的情况下定义的,因此有时是不合适的。在这项研究中,我们通过考虑EP的连续性提出了基于事件的极端降水(EEP)的概念,并通过考虑局部耐受能力来定义EEP事件特征的统计变量。 EEP被确定为连续时间段内的降水数据的集合,其中所有降水量均高于预定阈值,并且EEP事件与降水量之间至少间隔了一个时间步长(例如,天或小时)低于阈值。作为一个实际上激发了我们的提议的案例研究,我们考虑了1960-2013年期间中国汉江流域(HJRB)潜在的非平稳性,研究了EEP的变化和变化。结果表明,在EP分析中,EEP的概念比传统方法更合适,它可以反映EP连续性的影响并反映局部耐受能力的差异。官方版权(C)2015,Elsevier B.V.保留所有权利。

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