本期目录

  • 郭健,李蕾,吴秀超,庄涛,刘善军,黄宪江.济南市冬季重污染过程重点工业源对空气质量影响模拟研究[J].环境科学学报,2019,39(1):134-142

  • 济南市冬季重污染过程重点工业源对空气质量影响模拟研究
  • Simulation study on the effect of key industrial sources on air quality in winter heavy pollution process in Jinan
  • 基金项目:中央环境保护专项资金(No.2110301);济财建指([2014]13号)
  • 作者
  • 单位
  • 郭健
  • 济南市环境研究院, 济南 250101
  • 李蕾
  • 济南市环境研究院, 济南 250101
  • 吴秀超
  • 济南市环境研究院, 济南 250101
  • 庄涛
  • 济南市环境研究院, 济南 250101
  • 刘善军
  • 济南市环境研究院, 济南 250101
  • 黄宪江
  • 济南市环境研究院, 济南 250101
  • 摘要:利用CALPUFF空气质量模式,结合济南市环境空气质量例行监测数据和气象观测资料,模拟分析冬季重污染过程中济南市重点工业高架点源对近地面环境空气质量的影响.结果表明:冬季地面受热后产生的热辐射减弱,大气受热辐射影响变小,易产生逆温天气,大气层结相对稳定,大气垂直运动减弱,使得近地面污染物和水汽不断积聚,形成重污染天气.该重污染过程中,济南市全部源贡献率最大为NO2,SO2次之,一次PM10最小,依次为30.64%、17.75%和3.60%;占标率最大为NO2,SO2次之,一次PM10最小,依次为8.01%、5.01%、0.72%.同时,上述3项污染物的占标率和贡献率均与监测值相关性较差,说明在不利气象条件下重点工业高架点源对近地面监测点位环境空气质量影响有限.
  • Abstract:Based on the CALPUFF model, the atmospheric environmental monitoring and meteorological observation data of Jinan City, the influence of elevated key industrial sources on the near ground environmental air quality was simulated and analyzed during one heavy pollution process. The results showed that the winter atmosphere was weakly heated by surface heat and was prone to inversion temperature. At this point the atmosphere was relatively stable, leading to pollutants was not easy to spread, hinder the vertical movement of the atmosphere, so that pollutants and water vapor continued to accumulate, thus heavily polluted weather was formed. In the heavy pollution process, the largest contribution rate of all the sources in Jinan was NO2, followed by SO2, primary PM10 was the smallest, which was 30.64%, 17.75% and 3.60% respectively. Accounting for the maximum rate was NO2, followed by SO2, primary PM10 was the smallest, which was 8.01%, 5.01% and 0.72% respectively. The correlation between the contribution rates of the above-mentioned three pollutants and the monitored data was poor, indicating that the key industrial elevated point sources had limited impact on the near ground environment under adverse weather.

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