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首页> 外文期刊>Journal of the air & waste management association >Identification and Interpretation of Representative Ozone Distributions in Association with the Sea Breeze from Different Synoptic Winds over the Coastal Urban Area in Korea
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Identification and Interpretation of Representative Ozone Distributions in Association with the Sea Breeze from Different Synoptic Winds over the Coastal Urban Area in Korea

机译:韩国沿海城市不同天气风与海风相关的代表性臭氧分布的识别和解释

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摘要

To aid the studies of long-term impact assessment of cumulative ozone (O_3) exposures, the representative 8-hr O_3 pollution patterns have been identified over the Greater Seoul Area (GSA) in Korea. Principal component analysis and two-stage clustering techniques were used to identify the representative O_3 patterns, and numerical and observational analyses were also used to interpret the identified horizontal distribution patterns. The results yielded three major O_3 distribution patterns, and each of the three patterns was found to have strong correlations with local and synoptic meteorological conditions over the GSA. For example, pattern 1, accounting for 46% of O_3 concentration distributions, mostly occurred under relatively weak westerly synoptic winds. The predominant features of this pattern were infrequent high O_3 levels but a distinct gradient of O_3 concentration from the western coastal area to the eastern inland area that was mainly induced by the local sea breeze. Pattern 2, accounting for 31% of O_3 concentration distributions, was found with higher O_3 levels in the western coastal area but lower in the eastern inland area. This is due to the modified sea breeze under the relatively stronger easterly opposing synoptic wind, affecting the high O_3 occurrence in the western coastal area only. However, pattern 3, accounting for 21% of O_3 concentration distributions, showed significantly higher O_3 concentrations over the whole GSA mainly due to the retarded and slow-moving sea-breeze front under the weak opposing synoptic flow. Modeling study also indicated that local and synoptic meteorological processes play a major role in determining the high O_3 concentration distribution patterns over the GSA.
机译:为了帮助对累积臭氧(O_3)暴露进行长期影响评估的研究,已经确定了韩国大首尔地区(GSA)的代表性8小时O_3污染模式。主成分分析和两阶段聚类技术被用来识别代表性的O_3模式,数值和观察分析也被用来解释所识别的水平分布模式。结果产生了三个主要的O_3分布模式,并且发现这三个模式中的每一个都与GSA上的局部和天气气象条件密切相关。例如,模式1占O_3浓度分布的46%,主要发生在相对弱的西风天气下。这种模式的主要特征是罕见的高O_3水平,但O_3浓度从西部沿海地区到东部内陆地区有明显的梯度变化,这主要是由当地海风引起的。模式2占O_3浓度分布的31%,在西部沿海地区的O_3水平较高,而在内陆东部地区的O_3水平较低。这是由于在相对较强的向东逆风天气下海风经过改良,仅影响西部沿海地区的高O_3发生率。然而,占O_3浓度分布21%的模式3显示,在整个GSA中,O_3浓度明显更高,这主要是由于在微弱的对流天气下海风锋面的延迟和缓慢移动。建模研究还表明,局部和天气气象过程在确定GSA上的高O_3浓度分布模式中起着重要作用。

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