• 关键词：湿清除  层状云  数值模拟

• 基金项目：国家自然科学基金资助

• 秦瑜
• 北京大学地球物理系

• 摘要：运用一维时变的层状云物理化学模式研究华南春季降水的酸化和对污染物的清除,其结果与外场观测大体一致.通常,在降水初期对气体和粒子的清除以云内为主,而后云下清除的比例增加.试验表明,H₂O₂ 的浓度对SO₂的湿清除起重要作用,它决定SO₄^2-的生成和沉降量;气流辐合可以补偿污染物因湿清除的减少,从而增加沉降量.

• Abstract：A one-dimensional, time-dependent. physico-chemical model of stratiform clouds is used to evaluate the acidification of precipitation and wet removal of pollutants in South China in spring season and results from the model are consistent with the mean field data. Usually, the in-cloud scavenging of gases and aerosols is the major removal process at the beginning of rainfall, and then the fraction of the below-cloud scavenging of pollutants increases gradually. Numerical tests show that the concentration of oxidant H₂O₂ determines the formation and deposition of S(Ⅵ) from SO₂. The convergence of airflow can partially compensate the deposition of pollutants by wet removal, so that aqueous concentrations and deposition amounts of pollution species will increase.

• Key words：wet removal  stratiform clouds  numerical model.

• 
  摘要点击次数： 1843 全文下载次数： 2725