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Storm Tide Recurrence Intervals - A Statistical Approach Using Beach Ridge Plains in Northern Australia

机译:风暴潮复发间隔-使用北澳大利亚海滩山脊平原的统计方法

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The marine inundation generated by Tropical Cyclone Yasi, north Queensland, February 2011, flooded at least 130 beachfront homes and many commercial businesses, becoming the most substantial marine inundation impact in Austral ia's modern history. As a consequence, guidelines for building in storm tide impact areas have been developed and discussions are beginning on whether Australia needs a national standard for buildings impacted by these events. Central to this will be determining which areas of coastal land need to be subjected to the standard, and this will likely be based upon the magnitude of a particular return interval event. The veracity of the current method for determin ing these return intervals is difficult to determine as there has been no objective way to assess the accuracy of this approach. One such method is developed here - applying extreme value theory statistics to millennial scale sedimentary records of tropical cyclone marine inundations. The approach is applied to a 5000-year-long beach ridge record of tropical cyclone inundations near Tully Heads and the results suggest that the inundation generated by Tropical Cyclone Yasi here had a return interval of approximately 1000 years. This is a substantially lower figure than the approximately 5000-year return interval suggested by the currently accepted approach. Irrespective of which method is more accurate, the marine inundation generated by Yasi was a very rare event and one that may become more common under a future altered climate.
机译:2011年2月,昆士兰州北部的热带气旋Yasi造成的海洋淹没淹没了至少130座海滨房屋和许多商业企业,成为澳大利亚现代历史上最大的海洋淹没影响。因此,已经制定了在风暴潮影响区进行建筑的准则,并开始讨论澳大利亚是否需要受这些事件影响的建筑的国家标准。对此的重点将是确定沿海地区的哪些区域需要接受该标准,这很可能基于特定回程间隔事件的严重性。当前确定这些返回间隔的方法的准确性很难确定,因为还没有客观的方法来评估这种方法的准确性。这里开发了一种这样的方法-将极值理论统计应用于热带气旋海洋淹没的千年规模沉积记录。该方法应用于塔利海兹附近5000年长的热带气旋泛滥的山脊记录,结果表明,热带气旋Yasi在这里产生的泛滥具有大约1000年的返回间隔。这比目前接受的方法建议的大约5000年的回报间隔要低得多。无论哪种方法更准确,Yasi造成的海洋淹没都是非常罕见的事件,并且在未来气候变化的情况下可能会变得更加普遍。

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