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Investigating precipitation extremes in South Carolina with focus on the state's October 2015 precipitation event

机译:调查南卡罗来纳州的降水极值,重点关注国家2015年10月降水事件

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The October 2015 precipitation event in the Southeastern United States brought large amounts of rainfall to South Carolina, with particularly heavy amounts in Charleston and Columbia. The subsequent flooding resulted in numerous casualties and hundreds of millions of dollars in property damage. Precipitation levels were so severe that media outlets and government agencies labeled this storm as a 1 in 1000-year event in parts of the state. Two points of discussion emerged as a result of this event. The first was related to understanding the degree to which this event was anomalous; the second was related to understanding whether precipitation extremes in South Carolina have changed over recent time. In this work, 50 years of daily precipitation data at 28 locations are used to fit a spatiotemporal hierarchical model, with the ultimate goal of addressing these two points of discussion. Bayesian inference is used to estimate return levels and to perform a severity-area-frequency analysis, and it is determined that precipitation levels related to this event were atypical throughout much of the state, but were particularly unusual in the Columbia area. This analysis also finds marginal evidence in favor of the claim that precipitation extremes in the Carolinas have become more intense over the last 50 years.
机译:2015年10月,美国东南部的降水事件为南卡罗来纳州带来了大量的降雨,在查尔斯顿和哥伦比亚的众多繁多的数量。随后的洪水导致了许多伤亡和数亿美元的财产损失。降水水平如此严重,媒体网点和政府机构将这场风暴标记为州内部的1000年活动中的1个。由于此活动而出现了两点讨论。第一个与理解这一事件异常的程度有关;第二次与了解南卡罗来纳州的降水极端的降水是否发生了有关。在这项工作中,28个地点的50年的日降水数据用于适应时空等级模型,具有解决这两个讨论点的最终目标。贝叶斯推断用于估计返回水平并进行严重性区域频率分析,并确定与此事件相关的降水水平在整个状态下都是非典型的,但在哥伦比亚地区特别异常。该分析还发现了边缘证据,有利于索赔,在过去50年里,Carolinas的降水极端降水变得更加激烈。

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