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Long-Term Winter Inversion Properties in a Mountain Valley of the Western United States and Implications on Air Quality

机译:美国西部山谷的长期冬季反演特性和对空气质量的影响

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Because of the geography of a narrow valley and surrounding tall mountains, Cache Valley (located in northern Utah and southern Idaho) experiences frequent shallow temperature inversions that are both intense and persistent. Such temperature inversions have resulted in the worst air quality in the nation. In this paper, the historical properties of Cache Valley's winter inversions are examined by using two meteorological stations with a difference in elevation of approximately 100 m and a horizontal distance apart of similar to 4.5 km. Differences in daily maximum air temperature between two stations were used to define the frequency and intensity of inversions. Despite the lack of a long-term trend in inversion intensity from 1956 to present, the inversion frequency increased in the early 1980s and extending into the early 1990s but thereafter decreased by about 30% through 2013. Daily mean air temperatures and inversion intensity were categorized further using a mosaic plot. Of relevance was the discovery that after 1990 there was an increase in the probability of inversions during cold days and that under conditions in which the daily mean air temperature was below -15 degrees C an inversion became a certainty. A regression model was developed to estimate the concentration of past particulate matter of aerodynamic diameter 2.5 m (PM2.5). The model indicated past episodes of increased PM2.5 concentrations that went into decline after 1990; this was especially so in the coldest of climate conditions.
机译:由于狭窄的山谷和周围的高山地理位置,缓存谷(位于犹他州北部和爱达荷州南部)经常经常发生浅薄的温度反转,既激烈则持久。这种温度反转导致了国家的最严重的空气质量。在本文中,通过使用两个气象站来检查高速缓存谷冬季逆转的历史特性,该气象站具有大约100米的升高和水平距离,而4.5 km。两个站之间的日常最大空气温度的差异用于定义逆转的频率和强度。尽管缺乏1956年的反转强度缺乏长期趋势至今,但在20世纪80年代初,反演频率增加,并延伸到20世纪90年代初,但此后通过2013年的约30%减少了约30%。每日平均空气温度和反转强度分类为约30%进一步使用马赛克图。相关性是发现,在1990年之后,寒冷时期的逆转概率增加,并且在日常平均空气温度低于-15度C的条件下,反转变得肯定。开发了一种回归模型以估计空气动力学直径2.5m(PM2.5)的过去颗粒物质的浓度。该模型表明,过去的PM2.5浓度增加了剧集,其在1990年之后下降;这尤其如此在寒冷的气候条件下。

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