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Flood occurrence change-point analysis in the paleoflood record from Lake Mondsee (NE Alps)

机译:Mondsee湖古福德记录洪水发生变点分析(NE Alps)

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Knowledge about changes of flood occurrence patterns is important for risk estimation of the future. Robust and well-calibrated paleoflood records, derived e.g. from lake sediments, are excellent natural archives to investigate flood variability of the past and to use the data for further modelling. In this paper, we analyse a 7100 year summer flood record recovered from Lake Mondsee (NE Alps), using a statistical approach. We identify a point process of renewal type, with a significant change-point of the occurrence pattern around 350 CE, switching from the overlay of two mechanisms of event recurrences of 5 and 50 years before to 2 and 17 years after this change-point. This change-point approach enables a comparison to other flood records, and possibly to relate event frequencies to climatic conditions. We also highlight how lower temporal resolution of flood records can hamper the analysis of relations to climatic signals. Hence high-resolution records with robust chronologies and flood information (e.g. seasonality and event characteristics) are essential to improve the understanding of the interplay between climatic signals and flood occurrences, which is an important ingredient for proper risk estimation and risk management.
机译:关于洪水发生模式变化的知识对于未来的风险估算是重要的。衍生的强大且校准良好的古红色记录。来自湖泊沉积物,是优秀的自然档案,用于调查过去的洪水可变性,并使用数据进行进一步建模。在本文中,我们使用统计方法分析了从Mondsee湖(NE Alps)恢复的7100年夏季洪水记录。我们识别续期类型的点过程,发生了大约350 CE的发生模式的显着变化点,从在此变更点后2和17年之前的两个事件复发机制的叠加转换。这种变化点方法可以比较其他洪水记录,并且可能将事件频率与气候条件相关联。我们还突出了洪水记录的较低时间分辨率如何妨碍与气候信号的关系分析。因此,具有稳健的时间顺序和洪水信息(例如季节性和事件特征)的高分辨率记录对于改善对气候信号和洪水发生之间的相互作用的理解至关重要,这是适当风险估算和风险管理的重要成分。

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