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首页> 外文期刊>Atmospheric environment >Classification of large-scale circulation patterns and their spatio-temporal variability during High-PM_(10) events over the Korean Peninsula
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Classification of large-scale circulation patterns and their spatio-temporal variability during High-PM_(10) events over the Korean Peninsula

机译:大规模循环模式的分类及其在朝鲜半岛的高PM_(10)事件中的时空变异性

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The typical spatio-temporal evolutions of large-scale weather patterns before and after high-concentration events of particulate matter with an aerodynamic diameter = 10 mu m (PM10) (High-PM10) over the Korean Peninsula were investigated. Using the K-means clustering method, five significant large-scale weather patterns associated with High-PM10 events were identified. Among the 91 High-PM10 events that occurred during winter/spring of 2007-2018, approximately 41% (38 cases) belonged to Cluster 1 and 5, characterized by upper-tropospheric downstream amplification of pressure anomaly originating from the Barents/Kara Sea of the Arctic Ocean. We refer to this pattern as the wave-train type. Concurrently with this pattern, southwesterly wind anomalies from southeastern China and significant descending air occurred over the Korean Peninsula, causing PM10 accumulation. Despite its dominance of occurrence, the wave-train type exhibited a relatively shorter mean duration of 1-2 days owing to its rapid development and traveling characteristics. Cluster 2 corresponded to approximately 29% (27 cases) of the total cases, and was characterized by a stagnant anticyclone over the northeastern Eurasia region. In the lower atmosphere, southerly winds dominated the Korean Peninsula. Vertical diffusion of PM10 was restricted by a vertically stable condition in the lower-to-mid-troposphere and a notably weak wind speed. Cluster 2 had the longest duration of 3 days and the highest mean PM10 concentration compared to the other clusters. Cluster 3 corresponded to approximately 13% (12 cases) of the total cases and exhibited a stagnant anticyclone centered at the Kamchatka region. In this case, weakened westerly is observed resulting in the characteristics of a circulation pattern that easily accumulates pollutants. Cluster 4 accounted for approximately 15% (14 cases) of all cases, and is a pattern in which air of PM10 inflows following the back of the cyclone located in the northern part of the Korean Peninsula. We emphasize that most of High-PM10 events occurring over the Korean Peninsula are linked to the preceding upper-tropospheric large-scale circulation patterns. They control the low-level transports and accumulation of pollutants.
机译:研究了具有空气动力学直径的颗粒物质的高浓度事件之前和之后的大规模天气模式的典型时空演进。研究了朝鲜半岛上的气动直径。使用K-means聚类方法,确定了与高PM10事件相关的五种显着的大规模天气模式。在2007 - 2018年冬季/春季发生的91个高PM10事件中,约41%(38例)属于簇1和5,其特征在于源自受损的压力异常的上部对流层下游扩增北冰洋。我们将此模式称为波列车类型。与这种模式同时,来自东南部的西南风异常,并在朝鲜半岛发生了显着下降的空气,导致PM10积累。尽管其主导地位发生,因此由于其快速发展和旅行特征,波动火车型呈现相对较短的平均持续时间为1-2天。集群2对应于总案件的大约29%(27例),其特征在于东北欧亚地区的停滞不环。在较低的大气层中,南风风占据了朝鲜半岛。 PM10的垂直扩散受到下层对流层中垂直稳定的条件的限制,风速较弱的风速。集群2具有3天的最长持续时间,与其他簇相比最高的平均PM10浓度。群集3对应于总案件的大约13%(12例),并在堪察加地区展示了滞留的抗气旋。在这种情况下,观察到Westerly削弱,导致循环模式的特性容易累积污染物。集群4占所有案件的约15%(14起案件),是在位于朝鲜半岛北部的飓风后面的PM10流入的空气。我们强调,在朝鲜半岛上发生的大部分高PM10事件与前面的上部对流层大规模循环模式相关联。他们控制低级运输和污染物的积累。

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