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Long-term Trends and Characteristics of Visibility in Two Megacities of Southwest China: Chengdu and Chongqing

机译:西南两个大城市成都和重庆的长期趋势和能见度特征

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From 1981 to 2010, visibility in Chengdu and Chongqing has been preserved at a rather low level with averages of 7.8±3.6 and 5.6±3.7 km, respectively. The ridit values showed that the best visibility periods in Chengdu and Chongqing mainly concentrated in 1980s and 1990s. During 2000s, PM_(10) levels in both cities degraded consistently to around 110 μg m~(-3) in 2011. Still, PM_(10) dominated the primary pollutants and was the major obstacle for air quality improvement in southwest China. Results of the correlation analysis and PCA suggested the complex chemical and synoptic mechanism involved in visual range formation, as visibility was significantly correlated with all the meteorological factors. Particularly, high pressure and relative humidity and low wind speed under stable weather system increased the low visibility frequency. Empirical models for visibility prediction demonstrated that visibility improvement was most sensitive to reduction in PM_(10) concentrations. The regression coefficients between observed and calculated visibility would be significantly improved when more data about PM_(2.5) and other gaseous pollutants were included in the models.
机译:从1981年到2010年,成都和重庆的能见度一直保持在较低水平,平均分别为7.8±3.6 km和5.6±3.7 km。骑乘值表明,成都和重庆的最佳能见期主要集中在1980年代和1990年代。在2000年代期间,两个城市的PM_(10)水平一直下降到2011年的110μgm〜(-3)左右。尽管如此,PM_(10)仍是主要污染物,仍是中国西南地区改善空气质量的主要障碍。相关分析和PCA的结果表明,可视范围的形成涉及复杂的化学和天气机制,因为能见度与所有气象因素均显着相关。特别地,在稳定天气系统下的高压和相对湿度以及低风速增加了低能见度。能见度预测的经验模型表明,能见度的提高对降低PM_(10)浓度最敏感。当模型中包含更多有关PM_(2.5)和其他气态污染物的数据时,观测到的可见性与计算出的可见性之间的回归系数将得到显着改善。

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