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Long-term trends and characteristics of visibility in two megacities in 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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摘要

Visibility is a good indicator of air quality because it reflects the combined influences of atmospheric pollutants and synoptic processes. Trends in visibility and relationships with various factors in Chengdu and Chongqing, two megacities in southwest China, were analyzed using daily data from National Climatic Data Center and the Air Pollution Index (API) of the Ministry of Environmental Protection of China. Average annual visibility during the period of 1973-2010 was 8.1 ± 3.9 in Chengdu and 6.2 ±4.3 km in Chongqing. PM_(10) dominates the reported primary pollutants in both cities, although concentrations have decreased from a high of 127.9 and 150 μg m~3 before 2005 to 100.4 and 93.5 μg m~(-3) in Chengdu and Chongqing, respectively. Low average visibility and extremely high levels of PM10 were observed in winter, whereas relative humidity had irregular and weak seasonal variations. Visibility in both cities has deteriorated in comparison to the 1960s and 1970s, mostly due to the elevation of optical depth caused by anthropogenic pollution. Correlations and principal component analysis (PCA) were undertaken to determine the key factors affecting visibility. Visibility was only moderately correlated with PM_(10). In Chengdu, visibility displayed weak correlations with various factors, whereas visibility in Chongqing was most strongly related to relative humidity due to the atmospheric particulates in the region containing more hygroscopic components. PCA results further confirmed that high relative humidity and low wind speed increased the occurrence of low visibility events under high PM_(10) concentrations. Temperature and pressure, as indicators of weather systems, also played important roles in affecting visibility. Mathematical models of visibility prediction indicated that wind speed had the largest coefficients among all meteorological factors, and reductions in PM_(10) concentration only led to minor improvements in visibility.
机译:能见度是空气质量的良好指标,因为它反映了大气污染物和天气过程的综合影响。利用来自国家气候数据中心的每日数据和中国环境保护部的空气污染指数(API),分析了中国西南部两个特大城市成都和重庆的能见度趋势以及与各种因素的关系。 1973-2010年期间,成都和重庆的年平均能见度分别为8.1±3.9和6.2±4.3 km。尽管两个城市的PM_(10)浓度都从2005年之前的127.9和150μgm〜(3)的高位分别降至成都和重庆的100.4和93.5μgm〜(-3),但仍是两个城市报告的主要污染物的主要来源。冬季观测到的平均能见度较低,PM10含量极高,而相对湿度则具有不规则且较弱的季节性变化。与1960年代和1970年代相比,这两个城市的能见度都有所下降,这主要是由于人为污染引起的光学深度的增加。进行了相关性和主成分分析(PCA),以确定影响可见性的关键因素。可见度仅与PM_(10)相关。在成都,能见度与各种因素之间的相关性较弱,而重庆的能见度与相对湿度之间的相关性最强,这是因为该地区的空气颗粒物含有更多的吸湿成分。 PCA结果进一步证实,在高PM_(10)浓度下,高相对湿度和低风速会增加低能见度事件的发生。温度和压力作为天气系统的指标,在​​影响能见度方面也起着重要作用。能见度预测的数学模型表明,风速在所有气象因素中具有最大的系数,而PM_(10)浓度的降低只会导致能见度的较小改善。

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  • 来源
    《Journal of the air & waste management association》 |2013年第9期|1058-1069|共12页
  • 作者

    Yuan Chen; Shao-dong Xie;

  • 作者单位

    College of Environmental Science and Engineering, Peking University, Beijing, P.R. China;

    College of Environmental Science and Engineering, Peking University, No. 5 Yiheyuan Rd, Haidian District, Beijing 100871, P.R. China;

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  • 正文语种 eng
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