南京地区2013年12月重霾污染事件成因分析
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国家自然科学基金青年科学基金项目(D0512/41305123;D0510/41505109)


Heavy haze events during December 2013 in Nanjing
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    摘要:

    利用2013年12月在南京地区针对气溶胶化学成分及其前体物进行的一个月的强化观测资料,结果发现,期间观测到了两次严重的灰霾污染事件(事件1和事件2),其PM2.5的平均浓度分别达到267和150 μg/m3。事件1过程中,气团主要起源于长三角及南京地区,天气系统稳定,混合层低矮,空气相对湿热,气溶胶多来自于前体物集聚后的二次转化;事件2过程中,来自华北地区的污染物长距离传输则有显著贡献。事件1中的化学转化机制较为复杂,白天的气相均相氧化以及夜间的非均相或液相转化均对硫酸盐和硝酸盐的二次形成有所贡献;而事件2中则主要为白天均相氧化机制,夜间的化学转化过程不明显。

    Abstract:

    Particular matter (PM) is one of the major pollutants in China.The radiation balance,visibility and human health can be strongly influenced by high concentrations of PM.Also,roduction rates of relevant heterogeneous reactions can be dramatically enhanced by significant levels of PM.Due to local anthropogenic emissions and the effect of regional transport,haze events occur frequently in the Yangtze River Delta (YRD),severely impacting upon the everyday and working lives of citizens.In this study,an intensive field campaign was conducted in December 2013 at a regional background site in Nanjing referred to as SORPES (Station for Observing Regional Processes of the Earth System) and,based on the data collected,the formation mechanism of haze pollution in wintertime was discussed and analyzed with a focus on the aerosol chemical composition and synoptic pattern.An online composition analysis instrument named MARGA (Monitoring Instrument for Aerosols and Gases) was used to measure water-soluble ions such as NO3-,SO42-,NH+4,Cl-,K+,Na+,Ca2+ and Mg2+ in the fine PM (PM2.5) fraction.Meanwhile,the gases SO2,NOx and O3 were measured by a trace gas instrument manufactured by Thermo Fisher Scientific (Massachusetts,USA).In order to study the synoptic pattern during hazy days,weather systems were analyzed using data from NECP.Moreover,the HYSPLIT model was used to simulate the atmospheric transport and dispersion of pollutant plumes originating from various air mass sources.HYSPLIT has capabilities ranging from simple trajectories to complex dispersion and deposition calculations for both puffs and particles.It can simulate dispersion based on input variables (wind,temperature,pressure etc.) from various meteorological models.These fields can then be integrated both in space and time to with respect to particles' positions in order to simulate the dispersive nature of the atmosphere.The results showed that the monthly average concentration of PM2.5 was 142 μg·m-3 and the water soluble ions (NO3-,SO42-,NH4+,Cl-,K+,Na+,Ca2+and Mg2+) contributed about 62% to the total mass concentration of PM2.5.Two heavy haze events were observed during the campagin.The concentration of PM2.5 reached 267 μg·m-3 in the first event and 150 μg·m-3in the second event,during which three major inorganic ions (sulfate,nitrate and ammonium)accounted for 63.6% and 66.4%,respectively.Both haze events lasted for several continuous days with very low visibility-only 1.9 km in the first event and 4.7 km in the second.Aerosols in the first event were mostly secondarily formed,with a stable weather system and lower mixing layer.The higher temperature and humidity compared to the second event provided appropriate conditions for the heterogeneous transformation of particles in the surface layer.HYSPLIT showed that the air masses of the first event mainly originated from local Nanjing and the surrounding YRD.However,the second event was largely influenced by long-range transport from the North China Plain.The formation of sulfate and nitrate in daytime was observed during both haze events,which mainly came from homogeneous reactions.Meanwhile,nighttime heterogeneous or aqueous-phase reactions contributed to the first event only.The catalytic oxidation of metal ions or liquid-phase oxidation of NO2 may have been important mechanisms through which sulfate formed at night in first haze event.

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郑龙飞,谢郁宁,刘强,黄昕,聂玮,丁爱军,2016.南京地区2013年12月重霾污染事件成因分析[J].大气科学学报,39(4):546-553. ZHENG Longfei, XIE Yuning, LIU Qiang, HUANG Xin, NIE Wei, DING Aijun,2016. Heavy haze events during December 2013 in Nanjing[J]. Trans Atmos Sci,39(4):546-553. DOI:10.13878/j. cnki. dqkxxb.20160212001

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  • 收稿日期:2016-02-12
  • 最后修改日期:2016-04-08
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  • 在线发布日期: 2016-08-01
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