Behaviors of volatile inorganic components in urban aerosols

Behaviors of volatile inorganic components in urban aerosols
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城市气溶胶中挥发性无机成分的行为

DOI:
10.1016/s1352-2310(99)00383-0
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发表时间:
2000
影响因子:
5
通讯作者:
W. Sha
W. Sha
中科院分区:
环境科学与生态学2区
文献类型:
--
作者:
H. Ueda;T. Takemoto;Young Kim;W. Sha

文献摘要

被引文献

相似文献

采用多组分气体-气溶胶平衡模型(Kim et al., 1993a,b; Kim and Seinfeld, 1995)来解释在日本中部污染气团中观测到的气溶胶中含水量和其他挥发性物质的行为。研究发现,污染气团从排放源区远距离输送(如50km)后达到气-气溶胶平衡,而在大排放源区不完全达到气-气溶胶平衡。该模型能较准确地预测偏远地区铵、硝、氯的气-气溶胶平衡。氨的相关系数R=0.98,气态硝酸的相关系数R=0.86以上。对于气态盐酸,R=0.94,这意味着在高温低湿条件下也能准确预测出明显的氯亏。预测的含水量与半理论的Winkler公式计算的含水量一致(气溶胶科学,1973,13,373-387)。在RH=90%时,其含水量几乎达到与干气溶胶相同的重量,而在RH=60%左右时,其含水量不到10%。相反,除了夏季非常高的气温条件外,含水量的温度依赖性较弱。最后,强调了多组分方法相对于二元组分方法的优越性。
A multicomponent gas–aerosol equilibrium model (Kim et al., 1993a,b; Kim and Seinfeld, 1995) was used to explain the behaviors of water content and other volatile species in the aerosols observed in polluted air mass in Central Japan. It was found that gas–aerosol equilibrium was attained after long-range transport of polluted air mass (e.g., 50km) from emission source area, while it was not completed in large emission source areas. The present model predicted with high accuracy the gas–aerosol equilibrium of ammonium, nitrate and chloride at remote sites. The correlation coefficient was R=0.98 for ammonia and more than R=0.86 for gaseous nitric acid. It was R=0.94 for gaseous hydrochloric acid, which meant significant chlorine deficit under high-temperature and low humidity conditions was also predicted accurately. The predicted water content was consistent with that calculated by the semi-theoretical Winkler's formula (Aerosol Sceince, 13, 1973, 373–387). At RH=90% the water content attained almost the same weight as that of dry aerosol, while at about RH=60% it was less than 10%. In contrast, temperature dependency of the water content was weak except for very high air temperature conditions in summer. Finally, it emphasized the superiority of the multicomponent approach for gas–aerosol equilibrium, compared with the binary-component approach.