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PM 2.5 Characteristics and Regional Transport Contribution in Five Cities in Southern North China Plain, During 2013–2015

机译:2013-2015年华北南部五个城市PM 2.5的特征和区域交通贡献

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PM 2.5 data from major cities in the southern North China Plain during 2013–2015 were comprehensively analyzed relative to variation features, meteorology effects, and regional transport contributions. The annual average ranged from 87 to 123 μg m ?3 , with the highest in Baoding and Shijiazhuang, the moderate in Handan and Hengshui, and the lowest in Cangzhou, which revealed an evident concentration gradient with distance from the mountains. PM 2.5 pollution indicated significantly regional characteristics and high correlations in daily PM 2.5 changes and similar seasonal and diurnal variations in five cities. The highest concentrations mainly occurred in the winter, then autumn, spring, and summer, and the diurnal variations were bimodal with peaks during the morning rush hours and at night, which were mostly dominated by the differences in source emissions and the boundary layer. The PM 2.5 concentrations were significantly positively correlated with relative humidity, especially during winter. The highest PM 2.5 concentrations in all cities were associated with the south, southeast, and southwest pathways, while the short northwest pathway in the winter for Baoding and Shijiazhuang experienced the highest concentration. Regional contributions ranged from 19.6 to 33.7% annually, with the largest in Baoding and Shijiazhuang. These results provide a scientific basis for pollution forecasting and control in these heavily polluted cities.
机译:根据变化特征,气象效应和区域交通贡献,对华北平原南部主要城市2013-2015年的PM 2.5数据进行了综合分析。年平均浓度在87〜123μgm 3之间,保定和石家庄最高,邯郸和衡水适中,沧州最低,表明距山的浓度梯度明显。 PM 2.5污染显示了五个城市的显着区域特征和每日PM 2.5变化以及类似的季节性和昼夜变化的高度相关性。最高浓度主要发生在冬季,然后是秋季,春季和夏季,其日变化呈双峰态,在高峰时段和夜间呈峰值,主要由源排放和边界层的差异决定。 PM 2.5浓度与相对湿度呈显着正相关,尤其是在冬季。在所有城市中,最高的PM 2.5浓度与南,东南和西南路径有关,而保定市和石家庄的冬季较短的西北路径浓度最高。区域贡献每年从19.6%到33.7%不等,其中最大的是保定和石家庄。这些结果为这些重污染城市的污染预测和控制提供了科学依据。

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