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A database of modeled gridded dry deposition velocities for 45 gaseous species and three particle size ranges across North America
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作者 Leiming Zhang Zhuanshi He +3 位作者 Zhiyong Wu Anne Marie Macdonald Jeffrey R.Brook Shailesh Kharol 《Journal of Environmental Sciences》 SCIE EI CAS CSCD 2023年第5期264-272,共9页
The dry deposition process refers to the flux loss of an atmospheric pollutant due to uptake of the pollutant by the earth’s surfaces.Dry deposition flux of a chemical species is typically calculated as the product o... The dry deposition process refers to the flux loss of an atmospheric pollutant due to uptake of the pollutant by the earth’s surfaces.Dry deposition flux of a chemical species is typically calculated as the product of its surface-layer concentration and its dry deposition velocity(V_(d)).Field measurement based V_(d) data are very scarce or do not exist for many chemical species considered in chemistry transport models.In the present study,gaseous and particulate dry deposition schemes were applied to generate a database of hourly V_(d) for 45 gaseous species and three particle size ranges for two years(2016–2017)at a 15 kmby 15 km horizontal resolution across North America.Hourly V_(d) of the 45 gaseous species ranged from<0.001 to 4.6 cm/sec across the whole domain,with chemical species-dependentmedian(mean)values being in the range of 0.018–1.37 cm/sec(0.05–1.43 cm/sec).The spatial distributions of the two-year average V_(d) showed values higher than 1–3 cm/sec for those soluble and reactive species over certain land types.Soluble species have the highest V_(d) over water surfaces,while insoluble but reactive species have the highest V_(d) over forests.Hourly V_(d) of PM_(2.5) across the whole domain ranged from 0.039 to 0.75 cm/sec with median(mean)value of 0.18(0.20)cm s^(−1),while the mean V_(d) for PM_(2.5)–10 is twice that of PM_(2.5).Uncertainties in the modeled V_(d) are typically on the order of a factor of 2.0 or larger,which needs to be considered when applying the dataset in other studies. 展开更多
关键词 Air quality modeling atmospheric pollutant atmospheric deposition dry deposition velocity Spatiotemporal distribution
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大气中硫污染物的干沉降模式 被引量:10
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作者 高会旺 黄美元 +1 位作者 管玉平 林一骅 《环境科学》 EI CAS CSSCI CSCD 北大核心 1997年第6期1-4,共4页
建立了计算SO2和硫酸盐气溶胶干沉降速度的数值模式,模式中考虑了气象条件、下垫面特征等因素对不同污染物干沉降速度的影响.并利用该模式计算了典型下垫面上SO2和SO2-4的干沉降速度,其变化范围分别为0.2—1.0cm... 建立了计算SO2和硫酸盐气溶胶干沉降速度的数值模式,模式中考虑了气象条件、下垫面特征等因素对不同污染物干沉降速度的影响.并利用该模式计算了典型下垫面上SO2和SO2-4的干沉降速度,其变化范围分别为0.2—1.0cm/s和0.1—0.8cm/s,与文献给出的结果对比表明,该模式用于计算硫污染物的干沉降速度是可行的。最后给出了包括我国大部分地区白天和夜晚的硫污染物干沉降速度的区域分布. 展开更多
关键词 硫污染物 干沉降 大气
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