南通市大气污染物浓度变化特征及其与气象因素的关系
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X513

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江苏省气象局科研基金(KQ201814)和南通市科技计划项目(JCZ18014)


Variation Characteristics of Atmospheric Pollutants’ Concentration and Its Relations with Meteorological Factors in Nantong
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Jiangsu Meteorological service Research Fund(KQ201814)and Nantong Science and Technology Project(JCZ18014)

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    摘要:

    为了厘清南通市大气污染浓度的变化情况以及与气象因素之间存在的关系,分析南通市大气污染物潜在的输送来源。文章利用南通市2018年全年大气污染物资料和同期气象观测要素资料,对SO2、NO2、CO、O3、PM10、PM2.5污染物的时、日、月、季浓度变化规律及其与气象因素之间的关系进行分析,并结合南通市2次重污染天气过程,使用后向轨迹模式HYSPLIT4分析南通市大气污染物的主要来源。结果表明:SO2、NO2、CO、PM10和PM2.5浓度均呈现夏季最低,其次是秋季,冬、春季浓度最高,O3浓度呈现明显春、夏季高于秋、冬季。SO2、NO2、CO、O3年平均排放量均较低。一天当中不同时间段,气象因素影响情况不同导致污染物的浓度不同。O3浓度变化跟NO2浓度变化呈明显负相关性。O3污染最高的天气,一般是气压较低,能见度较好的晴朗天气。而研究发现,PM2.5在气温较低、湿度高、气压高、日降水量较小、能见度低且风速较小的气象条件下,污染浓度更容易升高。NO2在低温高湿,气压高且风速较小的气象条件下时跟容易堆积。NO2、CO、O3与6种常规气象要素均存在显著相关性。O3跟气象要素之间相关性关系正好与其他5种污染物相反(湿度除外)。通过两次重污染天气过程的后向轨迹分析,南通市大气污染物来源既有西北和偏北气流的长距离输送,也有偏西和偏南气流的区域性源。

    Abstract:

    In order to clarify the variation of air pollution concentration in Nantong and the relationship between it and meteorological factors, the potential sources of air pollutants transport in Nantong were analyzed. The article with the relevant data on concentrations of targeted atmospheric pollutants and the corresponding meteorological observations collected and analyzed, the hourly, daily, monthly and seasonal characteristics of concentrations of SO2、NO2、CO、O3、PM10 and PM2.5 were determined, as well as relationships between the concentrations and local meteorological conditions. The primary source of the atmospheric pollutants in Nantong was identified by combining HYSPLIT4 model with two typical pollution processes in Nantong. The results showed that the lowest concentrations of SO2、NO2、CO、PM10 and PM2.5 were identified in summer, followed by in autumn, while during spring and winter the concentrations were higher. Concentrations of O3 were higher in spring and summer than in autumn and winter. The average annual emissions of SO2, NO2, CO and O3 were relatively low. Differences in concentrations of these pollutants were determined during various periods of a day, due to the impacts imposed by various meteorological factors. Specifically, O3 concentrations were negatively correlated with NO2 concentrations, and higher O3 concentrations could generally be detected in sunny days with low air pressure and good visibility. However, higher PM2.5 concentrations were related to such meteorological conditions as lower temperature, higher humidity, higher air pressure, lower daily precipitation, lower visibility, and lower wind speed. Meanwhile, NO2 could accumulate easily with low temperature, high humidity, high air pressure, and low wind speed. Significant correlations were found between concentrations of NO2, CO, and O3 and the 6 conventional meteorological elements. The relationship between O3 concentrations and these meteorological elements (with humidity being an exception) was exactly opposite to the other five pollutants. Based on the backward trajectory analysis of the two heavy pollution weather processes, it could be concluded that long-distance transportation from northwest and north directions and regional sources of west and southern air currents might be the primary source of atmospheric pollutants in Nantong.

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缪明榕,吴 辉,朱 毅,等. 南通市大气污染物浓度变化特征及其与气象因素的关系[J]. 科学技术与工程, 2020, 20(22): 9248-9254.
MIAO Ming-rong, WU Hui, ZHU Yi, et al. Variation Characteristics of Atmospheric Pollutants’ Concentration and Its Relations with Meteorological Factors in Nantong[J]. Science Technology and Engineering,2020,20(22):9248-9254.

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  • 收稿日期:2019-10-14
  • 最后修改日期:2020-04-26
  • 录用日期:2020-01-07
  • 在线发布日期: 2020-08-25
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