【摘要】 基于2014～2017年江苏省13个市的PM_2.5浓度和O₃₈h_max数据,探讨了其时空分布特征.在此基础上,研究了日益升高的近地层O₃浓度与气象因子的关系.结果表明:江苏省2014～2017年PM_2.5浓度整体上呈下降的趋势,年均浓度减少率为6.06μg/m³,而O₃₈h_max整体上呈上升趋势,年均浓度增长率为3.84μg/m³.总体上,PM_2.5浓度呈现冬春高、夏秋低的V型月变化特征,O₃₈h_max则基本呈现不规则的M型,在5月份达到峰值后逐渐降低,又在7～9月份保持平缓,而后又逐渐下降.空间上,江苏省PM_2.5浓度呈现"内陆高,沿海低"的状态,而O₃₈h_max却呈现"沿海高,内陆低"的状态.与气象因子的相关性表明,O3浓度与气温和太阳辐射呈正相关关系,与相对湿度呈负相关关系,太阳辐射对O₃浓度的影响最大,其次是温度和相对湿度.当日平均气温在20～30℃、相对湿度在50%～70%、太阳辐射强度高于150w/m²时O₃浓度容易出现超标.更多还原

【Abstract】 In this study, we analyzed the temporal and spatial distribution characteristics of PM_2.5 and O₃₈ h_max in 13 cities of Jiangsu province based on the PM_2.5 and O₃₈ h_max data. In addition, we also analyzed the influence of meteorological conditions on O₃ concentration. The annual average concentration of PM_2.5 in Jiangsu Province showed a decreasing trend from 2014 to 2017, with an average annual reduction of 6.06μg/m³, while O₃₈ h_max showed an upward trend, with an average annual increase of 3.84μg/m³. On the whole, the monthly variations of PM_2.5 showed a "V" pattern, with high concentration appearing in winter and spring and low concentration in summer and autumn. The monthly variations of O₃₈ h_max showed an irregular "M" pattern, with the maximum concentration in May and then gradually decreased, and it remained steady from July to September, and then gradually decreased. Spatially, the concentration of PM_2.5 was higher in western inland cities than in in the eastern coastal cities, whereas O₃₈ h_max was opposite. The concentration of O₃ showed positive correlations with temperature and solar radiation and negative correlation with humidity. Solar radiation was the greatest influence on O₃ concentration, followed by temperature and humidity. The concentration of O₃ was very probable to exceed the new NAAQS in China while daily average temperature was between 20℃ to 30℃, the relative humidity was between 50% to 70%, and the solar radiation was higher than 150 w/m².更多还原