Statistical Aspects of Ice Gouging on the Alaskan Shelf of the Beaufort Sea
Statistical Aspects of Ice Gouging on the Alaskan Shelf of the Beaufort Sea
复制标题
波弗特海阿拉斯加陆架刨冰的统计数据
DOI：
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发表时间：
1983
期刊：
影响因子：
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通讯作者：
E. Reimnitz
中科院分区：
文献类型：
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作者：
W. Weeks;P. Barnes;D. M. Rearic;E. Reimnitz
摘要：凿井深度的概率密度函数表示为一个简单的负指数超过四十年的凿井频率。因此，超声波的概率函数是e的-λ d，其中d是以米为单位的断层泥深度，λ是一个常数。λ值随水深的增加而普遍降低，从浅水中的9/m降低到30至35 m深的水中的小于3/m。从20，354个深度大于或等于0.2米的凿痕样本中，观察到的最深凿痕为3.6米。主要的断层泥方向通常是单峰的，并合理地聚集，最常见的路线大致平行于海岸线的总趋势。N（bar）sub 1的值，即垂直于泥槽趋势测量的每公里泥槽（深度超过0.2 m）的平均数量，从受保护泻湖的0.2到未受保护近海区域20 - 38 m深水域的80不等。沿沿着取样轨道测量的沟槽之间的间距的分布是负指数的。N子1的频率分布的形式随水深而变化，泻湖和浅海区呈指数分布，以前在障壁岛外10至20米深的地方呈偏斜分布，深水区接近正常分布。由于泊松分布给出了一个合理的适合所有水深的N分1分布，它建议，刨削可以被视为在空间和时间上近似泊松过程。最大值每公里的断层深度，断层宽度，以及从断层犁出的沉积物的侧堤的高度的分布也进行了研究。
Abstract : The probability density function of the gouge depths into the sediment is represented by a simple negative exponential over four decades of gouge frequency. The exceedance probability function is, therefore, e to the -lambda d, where d is the gouge depth in meters and lambda is a constant. The value of lambda shows a general decrease with increasing water depth, from 9/m in shallow water to less than 3/m in water 30 to 35 m deep. The deepest gouge observed was 3.6 m, from a sample of 20,354 gouges that have depths greater than or equal to 0.2 m. The dominant gouge orientations are usually unimodal and reasonably clustered, with the most frequent alignments roughly parallel to the general trend to the coastline. The value of N(bar) sub 1, the mean number of gouges (deeper than 0.2 m) per kilometer measured normal to the trend of the gouges, varies from 0.2 for protected lagoons to 80 in water between 20 and 38 m deep in unprotected offshore regions. The distribution of the spacings between gouges as measured along a sampling track is a negative exponential. The form of the frequency distribution of N sub 1 varies with water depth and is exponential for lagoons and shallow offshore areas, previously skewed for 10 to 20 m depths off the barrier islands, and near-normal for deeper water. As a Poisson distribution gives a reasonable fit to the N sub 1 distributions for all water depths, it is suggested that gouging can be taken as approximating a Poisson process in both space and time. The distributions of the largest values per kilometer of gouge depths, gouge widths, and the heights of the lateral embankment of sediments plowed from the gouges are also investigated.