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首页> 外文期刊>Journal of Applied Meteorology and Climatology >Snowmelt-Related Flood Risk in Appalachia: First Estimates from aHistorical Snow Climatology
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Snowmelt-Related Flood Risk in Appalachia: First Estimates from aHistorical Snow Climatology

机译:与阿巴拉契亚的雪花相关的洪水风险:来自Ahistorical雪气候学的首先估计

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摘要

A first attempt has been made toward quantifying the risk of snowmelt-related flooding in the central and southern Appalachian Mountains of the United States (from 35 degree to 42 degree N). In the last decade, two major events occurred within the region, prompting this study. Snowfall and snow depth data were collected from the cooperative observer network, quality controlled, and summarized at seasonal resolution (December-March). For establishing regional patterns, the period of 1971-2000 was selected. For testing fits of candidate probability distributions, and for focusing on the sparsely sampled higher elevations, this criterion was relaxed to include as many data from the mid- to late century as were reasonably admissible. Results indicate that the two-parameter Gumbel distribution fit best both the seasonal total snowfall and seasonal maximum snow depth. That distribution was then used to map return periods associated with critical seasonal snowfall and maximum snow depth masses. Seasonal snowfall amounts linked to a role for snowmelt in flooding were found to occur at return periods of from 2-5 yr in Pennsylvania and West Virginia to 10-200 yr in North Carolina. More generally, at elevations of at least 600 m throughout the region, return periods of 10-25 yr were estimated for critical levels of two flood-related criteria: seasonal total snowfall and maximum snow depth. In addition to providing valuable climatological information to aid forecasters and analysts, the results also support the need for further work toward understanding the role of snow in Appalachian floods.
机译:第一次尝试朝着美国中央和南部阿巴拉契亚山脉(35度至42度N)中的雪花型洪水风险。在过去十年中,该地区发生了两项重大活动,提示这项研究。从合作观察员网络,质量控制,并以季节性分辨率(12月至3月)的总结,收集降雪和雪深。为了建立区域模式,选择了1971 - 2000年的时间。为了测试候选概率分布的适合,并且为了专注于稀疏采样更高的高度,这一标准被放宽,包括从中期到期的多种数据,正如合理允许的那样。结果表明,两参数伸缩式分配适合季节性降雪和季节性最大雪深。然后使用该分布来映射与关键季节降雪和最大雪深度群体相关的返回期。发现与洪水融资的角色有关的季节性降雪量在宾夕法尼亚州和西弗吉尼亚州2-5岁的返回期间发生在北卡罗来纳州的10-200年。更一般地,在整个地区的至少600米的升高时,估计了10-25岁的返回期对于两个与洪水相关的标准的临界水平:季节性总降雪和最大的雪深。除了提供有价值的气候学信息来援助预测员和分析师之外,结果还支持进一步努力了解雪在阿巴拉契亚洪水中的作用。

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