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Temporal changes in sedimentation patterns within Haboro Harbor

机译:哈伯罗港内沉积模式的时间变化

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Haboro Harbor is located on the Teshio coast of Hokkaido, Japan, and faces the Sea of Japan. Both sides of Haboro Harbor feature coastal terraces of 20-30 m elevation. The Haboro River flows into the north side of Haboro Harbor. The Haboro Harbor area is commonly buried under sand and silt that has been transported by long-shore drift along the Teshio coast, as well as sediment transported from the Haboro River. In this study, we investigate changes in the sedimentation patterns around Haboro Harbor via cluster analysis of sediments and field-based wave data. We first carried out a cluster analysis of the five predictor variables of coarse sand fraction, fine sand fraction, silt fraction, median diameter of grains, and specific gravity of sediments. The samples were classified into six groups on the basis of the cluster analysis. We then carried out a second cluster analysis using eight predictor variables, adding wave height, water depth, and bottom slope to the five predictor variables listed above. This second cluster analysis revealed five groupings of samples. As a result, we estimated the transportation routes of sediment from the outer to inner Haboro Harbor on the basis of the cluster analysis data, soundings data, and aerial photography. On the basis of the relationship between relative water depth and the Shields number, we classified transported sediments into five groups from the cluster analysis that involved eight predictor variables.
机译:Haboro港位于日本北海道的Teshio海岸,面对日本海。哈伯罗港的两侧都设有海拔20-30 m的沿海阶地。哈伯罗河流入哈伯罗港的北侧。哈伯罗港区通常埋在沙子和淤泥下,沙石通过Teshio海岸的长距离漂流以及从哈伯罗河运来的沉积物运输。在这项研究中,我们通过对沉积物的聚类分析和基于场的波浪数据来研究哈伯罗港附近的沉积模式的变化。我们首先对粗砂分数,细砂分数,淤泥分数,颗粒中值直径和沉积物比重的五个预测变量进行了聚类分析。在聚类分析的基础上,将样品分为六组。然后,我们使用八个预测变量进行了第二次聚类分析,将波高,水深和底坡度添加到上面列出的五个预测变量中。第二个聚类分析揭示了五个样本分组。结果,我们基于聚类分析数据,测深数据和航空摄影,估计了沉积物从外部到内部Haboro港的运输路线。基于相对水深与Shields数之间的关系,我们从聚类分析中将运输的沉积物分为五个组,涉及八个预测变量。

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