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Climatological study of the Boundary-layer air Stagnation Index for China and its relationship with air pollution

机译:中国边界层空气滞留指数的气候学研究及其与空气污染的关系

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The Air Stagnation Index (ASI) is a vital meteorological measure of the atmosphere's ability to dilute air pollutants. The original metric adopted by the US?National Climatic Data Center?(NCDC) is found to be not very suitable for China, because the decoupling between the upper and lower atmospheric layers results in a weak link between the near-surface air pollution and upper-air wind speed. Therefore, a new threshold for the ASI–Boundary-layer air Stagnation Index?(BSI) is proposed, consisting of daily maximal ventilation in the atmospheric boundary layer, precipitation, and real latent instability. In the present study, the climatological features of the BSI are investigated. It shows that the spatial distribution of the BSI is similar to the ASI; that is, annual mean stagnations occur most often in the northwestern and southwestern basins, i.e., the Xinjiang and Sichuan basins (more than 180?days), and least over plateaus, i.e., the Qinghai–Tibet and Yunnan plateaus (less than 40?days). However, the seasonal cycle of the BSI is changed. Stagnation days under the new metric are observed to be maximal in winter and minimal in summer, which is positively correlated with the air pollution index?(API) during?2000–2012. The correlations between the BSI and the concentration of fine particulate matter?(PM sub2.5/sub ) during January?2013 and November to December in?2015–2017 of Beijing are also investigated. It shows that the BSI matches the day-by-day variation of PM sub2.5/sub concentration very well and is able to catch the haze episodes.
机译:空气停滞指数(ASI)是衡量大气稀释空气污染物能力的重要气象指标。美国“国家气候数据中心”(NCDC)所采用的原始度量标准不适用于中国,因为上层和下层大气层之间的去耦导致近地表空气污染与高层大气之间的联系薄弱。风速。因此,提出了一个新的ASI-边界层空气停滞指数?(BSI)的阈值,该阈值包括大气边界层的每日最大通风量,降水和实际潜伏不稳定性。在本研究中,对BSI的气候特征进行了研究。结果表明,BSI的空间分布与ASI相似。也就是说,年平均停滞最常发生在西北和西南流域,即新疆和四川流域(超过180天),而最少发生在高原,即青藏高原和云​​南高原(不到40天)。天)。但是,BSI的季节性周期已更改。新指标下的停滞天数在冬季最大,在夏季最小,这与2000-2012年期间的空气污染指数(API)成正相关。还研究了北京地区2013年1月至2015年11月至11月至12月2015年至2017年11月的BSI与细颗粒物浓度(PM 2.5 )之间的相关性。结果表明,BSI与PM 2.5 浓度的逐日变化非常匹配,并且能够捕捉到雾霾发作。

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