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Comparison of Aerosol Effects on Simulated Spring and Summer Hailstorm Clouds 被引量:1
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作者 Huiling YANG Hui XIAO +3 位作者 Chunwei GUO Guang WEN Qi TANG Yue SUN 《Advances in Atmospheric Sciences》 SCIE CAS CSCD 2017年第7期877-893,共17页
Numerical simulations are carried out to investigate the effect of cloud condensation nuclei(CCN) concentrations on microphysical processes and precipitation characteristics of hailstorms. Two hailstorm cases are si... Numerical simulations are carried out to investigate the effect of cloud condensation nuclei(CCN) concentrations on microphysical processes and precipitation characteristics of hailstorms. Two hailstorm cases are simulated, a spring case and a summer case, in a semiarid region of northern China, with the Regional Atmospheric Modeling System. The results are used to investigate the differences and similarities of the CCN effects between spring and summer hailstorms. The similarities are:(1) The total hydrometeor mixing ratio decreases, while the total ice-phase mixing ratio enhances, with increasing CCN concentration;(2) Enhancement of the CCN concentration results in the production of a greater amount of small-sized hydrometeor particles, but a lessening of large-sized hydrometeor particles;(3) As the CCN concentration increases, the supercooled cloud water and rainwater make a lesser contribution to hail, while the ice-phase hydrometeors take on active roles in the growth of hail;(4) When the CCN concentration increases, the amount of total precipitation lessens,while the role played by liquid-phase rainfall in the amount of total precipitation reduces, relatively, compared to that of icephase precipitation. The differences between the two storms include:(1) An increase in the CCN concentration tends to reduce pristine ice mixing ratios in the spring case but enhance them in the summer case;(2) Ice-phase hydrometeor particles contribute more to hail growth in the spring case, while liquid water contributes more in the summer case;(3) An increase in the CCN concentration has different effects on surface hail precipitation in different seasons. 展开更多
关键词 cloud convective aerosols sized mixing Aerosol nuclei seasonal polluted accumulated
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Gravimetric analysis for PM_(2.5) mass concentration based on year-round monitoring at an urban site in Beijing 被引量:5
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作者 Yanli Wang Wen Yang +3 位作者 Bin Han Wenjie Zhang Mindong Chen Zhipeng Bai 《Journal of Environmental Sciences》 SCIE EI CAS CSCD 2016年第2期154-160,共7页
Daily PM_(2.5)(particulate matter with an aerodynamic diameter of below 2.5 μm) mass concentrations were measured by gravimetric analysis in Chinese Research Academy of Environmental Sciences(CRAES), in the nor... Daily PM_(2.5)(particulate matter with an aerodynamic diameter of below 2.5 μm) mass concentrations were measured by gravimetric analysis in Chinese Research Academy of Environmental Sciences(CRAES), in the northern part of the Beijing urban area, from December 2013 to April 2015. Two pairs of Teflon(T1/T2) and Quartz(Q1/Q2) samples were obtained, for a total number of 1352 valid filters. Results showed elevated pollution in Beijing,with an annual mean PM_(2.5)mass concentration of 102 μg/m^3. According to the calculated PM_(2.5)mass concentration, 50% of our sampling days were acceptable(PM_(2.5)〈 75 μg/m^3), 30% had slight/medium pollution(75–150 μg/m^3), and 7% had severe pollution(〉 250 μg/m^3). Sampling interruption occurred frequently for the Teflon filter group(75%) in severe pollution periods,resulting in important data being missing. Further analysis showed that high PM_(2.5)combined with high relative humidity(RH) gave rise to the interruptions. The seasonal variation of PM_(2.5)was presented, with higher monthly average mass concentrations in winter(peak value in February, 422 μg/m^3), and lower in summer(7 μg/m^3 in June). From May to August, the typical summer period, least severe pollution events were observed, with high precipitation levels accelerating the process of wet deposition to remove PM_(2.5). The case of February presented the most serious pollution, with monthly averaged PM_(2.5)of 181 μg/m^3 and 32% of days with severe pollution. The abundance of PM_(2.5)in winter could be related to increased coal consumption for heating needs. 展开更多
关键词 PM_(2.5) Gravimetric analysis Sampling interruption pollution level Relative humidity(RH) Seasonal variation
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