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Temporospatial variations and Spearman correlation analysis of ozone concentrations to nitrogen dioxide, sulfur dioxide, particulate matters and carbon monoxide in ambient air, China

机译:臭氧浓度与二氧化氮,二氧化硫,颗粒物,颗粒物及一氧化碳在中国环境空气中的渗透性变化及普拉曼

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Ozone has been an important pollutant in China since 2013. The increasing number of days with over-standard ozone (O3) has been observed in many cities. In this study, what we mainly focus on are shown as follows: sampling of ambient air in 365 days in 2017 from 338 main cities; comparing concentration levels of ozone, nitrogen dioxide, sulfur dioxide, particulate matters and carbon monoxide in ambient air; investigating air quality conditions related to monthly variations of ozone, in this study, five areas with relatively higher O3-8?h over-standard days were identified and illustrated. An inverted “V” shape curve in North and a multiple “M” shape curve in South were identified in ozone monthly changes. Furthermore, possible reasons for spatial and temporal distribution were discussed. Spearman correlation analyses of ozone to nitrogen dioxide (NO2), sulfur dioxide (SO2), particulate matters (PM) and carbon monoxide (CO) in every chosen city were performed, and the distribution patterns were illustrated in maps. The results revealed that ozone concentrations in most north cities have negative correlations with concentrations of other pollutants in 2017, while some cities in south appeared positive correlations. As ozone pollution is not easily monitored by ordinary people without equipment, people in the cities where ozone concentrations were significantly related to PM or other pollutants, could primarily predict ozone pollution and take protective actions.
机译:自2013年以来,臭氧是中国重要的污染物。在许多城市中观察到越来越多的臭氧(O3)的天数。在这项研究中,我们主要关注的是如下:2017年365天的环境空气从338个主要城市取样;在环境空气中比较臭氧,二氧化氮,二氧化硫,颗粒物和一氧化碳的浓度水平;在本研究中调查与月度臭氧的每月变化有关的空气质量条件,确定并说明了6-8次相对较高的五个区域的五个区域。南北的倒置的“V”形曲线和南方的多个“M”形曲线在臭氧月度变化中被识别。此外,讨论了空间和时间分布的可能原因。在每个所选城市进行臭氧与二氧化氮(NO2),二氧化硫(SO2),颗粒物质(PM)和一氧化碳(CO)的臭氧的相关分析,并在地图中说明了分布模式。结果表明,大多数北城市的臭氧浓度与2017年的其他污染物浓度负相关,而南部的一些城市出现了正相关。由于普通人没有设备的普通人不容易监测臭氧污染,臭氧浓度与PM或其他污染物显着相关的城市,可以主要预测臭氧污染并采取保护作用。

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