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Relationship between flood/drought disasters and ENSO from 1857 to 2003 in the Taihu Lake basin, China

机译:太湖流域1857-2003年洪涝灾害与ENSO的关系

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In this paper, the relationship between flood/drought change in the Taihu Lake basin (TLB) and ENSO is investigated based on reconstructed flood/drought rank series (FD) and NINO-3.4 SST (DJF) data from 1857 to 2003. With the aid of empirical mode decomposition (EMD) method, the paper reveals that FD series and ENSO both contain strong inter-annual, decadal, multi-decadal and centennial signals, and have quite similar periodicities. The EMD method also obtains a monotonic trend for both series: the trend of FD series is upward, which suggests that flood trend is significant, and the trend of NINO-3.4 SST is also upward showing an increase of El Nino events. Continuous wavelet transform obtains similar oscillations for FD and NINO-3.4 SST series with those of EMD method. The results of cross wavelet and wavelet coherence suggest that there was stable in-phase relation between FD and NINO-3.4 SST from 1857 to 1950s, while this in-phase relation is not clear during recent decades. This conclusion is also verified by χ~2 test. These findings indicate weakening linkage between ENSO and flood/drought disasters in the TLB, which must be taken into account in the prediction of flood and drought disasters in the study area.
机译:本文基于1857年至2003年的重建洪水/干旱等级序列(FD)和NINO-3.4 SST(DJF)数据,研究了太湖流域(TLB)的洪水/干旱变化与ENSO之间的关系。借助经验模态分解(EMD)方法,本文揭示FD系列和ENSO都包含强的年际,年代际,多年代际和百年信号,并且具有非常相似的周期性。 EMD方法还获得了两个系列的单调趋势:FD系列的趋势向上,这表明洪水趋势很明显,NINO-3.4 SST的趋势也向上,表明厄尔尼诺事件增加了。连续小波变换获得了与EMD方法相似的FD和NINO-3.4 SST系列振荡。交叉小波和小波相干的结果表明,从1857年到1950年代,FD和NINO-3.4 SST之间存在稳定的同相关系,而这种同相关系在最近几十年中还不清楚。 χ〜2检验也证明了这一结论。这些发现表明ENSO与TLB中的洪水/干旱灾害之间的联系正在减弱,在研究区域的洪水和干旱灾害的预测中必须考虑到这一点。

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  • 来源
    《Quaternary International》 |2009年第2009期|93-101|共9页
  • 作者单位

    School of Geographic and Oceanographic Sciences, Nanjing University, 22 Hankou Road, Nanjing, Jiangsu 210093, PR China;

    School of Geographic and Oceanographic Sciences, Nanjing University, 22 Hankou Road, Nanjing, Jiangsu 210093, PR China;

    School of Geographic and Oceanographic Sciences, Nanjing University, 22 Hankou Road, Nanjing, Jiangsu 210093, PR China;

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