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首页> 外文期刊>International Journal of Climatology: A Journal of the Royal Meteorological Society >Analyses of extreme flooding in Austria over the period 1951-2006
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Analyses of extreme flooding in Austria over the period 1951-2006

机译:1951-2006年奥地利的特大洪灾分析

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摘要

Analyses of extreme flooding in Austria is performed using daily discharge time series from 27 stations over the period 1951-2006. The main research questions revolve around: (1) temporal non-stationarities in the flood record, (2) upper tail and scaling properties of the flood peak records, and (3) relation between magnitude and frequency of flooding and the North Atlantic Oscillation (NAO). Two datasets are derived from the daily discharge time series: annual maximum daily discharge and peaks-over-threshold (POT) data. The validity of the stationarity assumption in the annual maximum discharge record is assessed by investigating the presence of abrupt and slowly varying changes using nonparametric tests. The time series are tested for abrupt changes both in the mean and variance of the flood peak distributions by means of the Pettitt test. The presence of monotonic trends is investigated by means of the Mann-Kendall and Spearman tests. Violations of the stationarity assumption are associated with abrupt rather than gradual changes. These step changes generally involve river regulation through construction of dams or other major engineering works. It is not possible to make conclusive statements about the presence of an anthropogenic climate change signal in the flood peak record. Similar conclusions are obtained when focussing on the frequency of POT floods. The Generalised Extreme Value distribution is used to study the upper tail and scaling properties of annual maximum daily discharge records. The location and scale parameters exhibit power-law behaviour as a function of drainage area. The shape parameters indicate that the flood peak distributions for Austria have a heavy tail. Non-stationary modelling of the annual maximum daily discharge and POT time series is used to explore the relation between flood magnitude and frequency and NAO. The results indicate that NAO is a significant covariate in explaining the magnitude and frequency of occurrence of flooding over a large part of Austria.
机译:使用1951-2006年期间来自27个站点的每日排放时间序列,对奥地利的极端洪水进行了分析。主要研究问题围绕以下几个方面展开:(1)洪水记录中的时间非平稳性;(2)洪水峰记录的上尾部和标度特性;(3)洪水的幅度和频率与北大西洋涛动之间的关系( NAO)。从每日排放时间序列中得出两个数据集:年度最大每日排放量和阈值峰值(POT)数据。通过使用非参数检验调查突变的存在和缓慢变化的存在,可以评估年度最大流量记录中平稳性假设的有效性。通过Pettitt检验测试了时间序列中洪水峰值分布的均值和方差的突然变化。通过Mann-Kendall和Spearman检验研究单调趋势的存在。违反平稳性假设与突变而不是逐渐变化有关。这些步骤更改通常涉及通过建造大坝或其他主要工程来调节河流。关于洪水高峰记录中是否存在人为气候变化信号,不可能做出结论性声明。当关注POT洪水的频率时,可以得出类似的结论。广义极值分布用于研究年度最大日排放量记录的上尾和标度属性。位置和比例参数显示出幂律行为与流域面积的关系。形状参数表明,奥地利的洪峰分布具有较重的尾巴。利用年最大日流量和POT时间序列的非平稳模型来研究洪水量和频率与NAO之间的关系。结果表明,NAO是解释奥地利大部分地区洪水发生的程度和频率的重要协变量。

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