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Synoptic pressure patterns associated with major wind erosion events in southern Sweden (1973-1991)

机译:与瑞典南部主要风蚀事件有关的天气压力模式(1973-1991)

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摘要

Wind erosion causes severe damage on sandy soils in agricultural areas of north-west Europe. The weather conditions during erosion events are the result of the general atmospheric circulation and are key components in the erosion process. Principal component analysis (PCA) in combination with a non-hierarchical cluster analysis was conducted on de-seasonalized daily mean-sea-level pressure (MSLP) patterns of north-western Europe between 1973 and 1991 to determine the main synoptic types associated with wind erosion on sugar beet fields in Scania, southern Sweden. Cluster analysis of the PCA scores indicated that the observations should be grouped into 14 classes for which average MSLP patterns were computed. To assess the relationship between the patterns and wind erosion, 2 indices were computed. Index of Occurrence (10) is the ratio between the occurrence of the patterns during days with wind erosion and the occurrence during the entire wind erosion season. Index of Erosion Severity (IES) is computed by weighting the 10 with the area damaged by wind erosion associated with each pressure pattern. The IES identifies 2 pressure patterns that have significantly larger values than the other patterns. The most important is a pattern showing easterly flow over Scania, associated with 74 % (912 ha of 1235 ha) of the total damage in the study area. The second most important is a pattern showing westerly flow over Scania, associated with 5 % (63 ha) of the total damage. Both pressure patterns contain strong pressure gradients (in different directions) located over Scania. Depending on the location of the maximum gradient these patterns could be associated with wind erosion in other regions of north-western Europe.
机译:风蚀对西北欧洲农业地区的沙质土壤造成了严重破坏。侵蚀事件期间的天气条件是整个大气环流的结果,是侵蚀过程中的关键因素。结合主成分分析(PCA)和非分层聚类分析,对1973年至1991年之间西北欧的非季节性日平均海平面压力(MSLP)模式进行了研究,以确定与风有关的主要天气类型瑞典南部斯堪尼亚的甜菜田遭受侵蚀。 PCA分数的聚类分析表明,应将观察结果分组为14个类别,为其计算平均MSLP模式。为了评估模式与风蚀之间的关系,计算了两个指标。发生指数(10)是风蚀天数中的模式发生与整个风蚀季节中的发生之间的比率。侵蚀严重度指数(IES)通过对10加权,然后将与每个压力模式相关的受风蚀破坏的面积加权来计算。 IES识别出两个压力模式,这些模式具有比其他模式大得多的值。最重要的是一种模式,显示斯堪尼亚的东风,占研究区域总损失的74%(912公顷,共1235公顷)。第二个最重要的模式是显示在斯堪尼亚上空的西风,占总伤害的5%(63公顷)。两种压力模式都包含位于Scania上方的强压力梯度(沿不同方向)。根据最大梯度的位置,这些模式可能与西北欧洲其他地区的风蚀有关。

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