为研究徐州冬季雾-霾天气形成过程中颗粒物粒径及气溶胶光学特性的变化特征,分析了2014年12月1日-2015年2月28日徐州大气颗粒物质量浓度（PM（10）、PM（2.5）、PM1）、数浓度（0-1μm、1-2.5μm、2.5-10μm）和气溶胶光学特性等数据....为研究徐州冬季雾-霾天气形成过程中颗粒物粒径及气溶胶光学特性的变化特征,分析了2014年12月1日-2015年2月28日徐州大气颗粒物质量浓度（PM（10）、PM（2.5）、PM1）、数浓度（0-1μm、1-2.5μm、2.5-10μm）和气溶胶光学特性等数据.结果表明：0-1μm粒径范围细颗粒物的大量增多是引发徐州冬季雾-霾天气的主要因素,徐州冬季地面风速小（静风或轻风天气）,较高的大气相对湿度对雾-霾的形成和维持起着重要影响作用.持续时间较长的雾霾天气,因颗粒物吸湿增长和水汽附着,1-10μm粒径范围大气颗粒物在雾霾时段易发生沉降而减少,后随相对湿度降低雾霾转为短时间的霾天气,1-10μm颗粒物数浓度大幅上升.徐州冬季500nm波段AOD total和AOD fine mode具有相同的变化趋势,雾-霾日AOD total和AOD fine mode显著高于非霾日.AOD fine mode与AOD coarse mode的比值雾-霾日亦明显高于非霾日,而且在雾-霾日Angstrom波长指数主要集中在1-1.6,表明徐州冬季雾-霾时段大气中细颗粒物为主控粒子.展开更多
Aerosol Optical Thickness （AOT）, water vapor content and derived Angstrom exponent acquired by a CIMEL sun photometer in Beijing are analyzed. Monthly means computed from quality-assured daily means, seasonal trends...Aerosol Optical Thickness （AOT）, water vapor content and derived Angstrom exponent acquired by a CIMEL sun photometer in Beijing are analyzed. Monthly means computed from quality-assured daily means, seasonal trends and inter-annual variations are presented and discussed. Summer has the highest seasonal average AOT at 440 nm （τa440）, Angstrom exponent （α440-870） and water vapor content with the values 0.93, 1.34 and 3.0 cm, respectively. The second highest seasonal average τa440 appears in spring with the largest variation of α440-870 and minimum α440-870 0.99 due to the impact of coarse particles. The minimum seasonal average τa440 （0.44） and water vapor content （0.4 cm） appear in winter. The annual average τa440 , α440-870 and water vapor content for about 4-year observation period are 0.70, 1.19 and 1.4 cm, respectively. All monthly average Angstrom exponents are within 0.8-1.4. which indicates aerosol in Beijing is a very complex mixture of both fine- and coarse-mode particles （from anthropogenic influence and natural mineral dust）.展开更多
This study presents detailed analysis of spatiotemporal variations and trend of dust optical properties i.e., Aerosol Optical Depth(AOD) and Angstrom component over Asian desert regions using thirteen years of data(i....This study presents detailed analysis of spatiotemporal variations and trend of dust optical properties i.e., Aerosol Optical Depth(AOD) and Angstrom component over Asian desert regions using thirteen years of data(i.e., 2001–2013) retrieved from Aerosol Robotic Network(AERONET), Moderate Resolution Imaging Spectroradiometer(MODIS) and Multi-angle Imaging Spectroradiometer(MISR). These regions include Solar Village, Dunhuang and Dalangzadgad and are considered as origin of desert aerosols in Asia. Mann–Kendall trend test was used to show the trend of AOD. The relationship of AOD with weather parameters and general AOD trend over different wavelengths has also been shown. AOD's trend has been observed significant throughout the year in Solar Village, while in Dunhuang and Dalanzadgad the significant trend has been found only in peak period(March–June).Analysis show high values of AOD and low values of angstrom in Solar Village during peak period. In Chinese desert regions, high values of AOD have been found during peak period and low values in pre-peak period. Significant relationship has been observed between AOD and average temperature in Solar Village and Dalanzadgad whereas rainfall and wind speed showed no significant impact on AOD in all desert regions.展开更多
文摘为研究徐州冬季雾-霾天气形成过程中颗粒物粒径及气溶胶光学特性的变化特征,分析了2014年12月1日-2015年2月28日徐州大气颗粒物质量浓度（PM（10）、PM（2.5）、PM1）、数浓度（0-1μm、1-2.5μm、2.5-10μm）和气溶胶光学特性等数据.结果表明：0-1μm粒径范围细颗粒物的大量增多是引发徐州冬季雾-霾天气的主要因素,徐州冬季地面风速小（静风或轻风天气）,较高的大气相对湿度对雾-霾的形成和维持起着重要影响作用.持续时间较长的雾霾天气,因颗粒物吸湿增长和水汽附着,1-10μm粒径范围大气颗粒物在雾霾时段易发生沉降而减少,后随相对湿度降低雾霾转为短时间的霾天气,1-10μm颗粒物数浓度大幅上升.徐州冬季500nm波段AOD total和AOD fine mode具有相同的变化趋势,雾-霾日AOD total和AOD fine mode显著高于非霾日.AOD fine mode与AOD coarse mode的比值雾-霾日亦明显高于非霾日,而且在雾-霾日Angstrom波长指数主要集中在1-1.6,表明徐州冬季雾-霾时段大气中细颗粒物为主控粒子.
基金This research is supported by a China-France PRA project, the National Science Foundation of China （40250120071）the Chinese Academy of Sciences （2003-2-9）
文摘Aerosol Optical Thickness （AOT）, water vapor content and derived Angstrom exponent acquired by a CIMEL sun photometer in Beijing are analyzed. Monthly means computed from quality-assured daily means, seasonal trends and inter-annual variations are presented and discussed. Summer has the highest seasonal average AOT at 440 nm （τa440）, Angstrom exponent （α440-870） and water vapor content with the values 0.93, 1.34 and 3.0 cm, respectively. The second highest seasonal average τa440 appears in spring with the largest variation of α440-870 and minimum α440-870 0.99 due to the impact of coarse particles. The minimum seasonal average τa440 （0.44） and water vapor content （0.4 cm） appear in winter. The annual average τa440 , α440-870 and water vapor content for about 4-year observation period are 0.70, 1.19 and 1.4 cm, respectively. All monthly average Angstrom exponents are within 0.8-1.4. which indicates aerosol in Beijing is a very complex mixture of both fine- and coarse-mode particles （from anthropogenic influence and natural mineral dust）.
基金supported by the National Natural Science Foundations of China (Nos.41475136 and 41590871)International Science & Technology Cooperation Program of China (No.2013DFG22820)
文摘This study presents detailed analysis of spatiotemporal variations and trend of dust optical properties i.e., Aerosol Optical Depth(AOD) and Angstrom component over Asian desert regions using thirteen years of data(i.e., 2001–2013) retrieved from Aerosol Robotic Network(AERONET), Moderate Resolution Imaging Spectroradiometer(MODIS) and Multi-angle Imaging Spectroradiometer(MISR). These regions include Solar Village, Dunhuang and Dalangzadgad and are considered as origin of desert aerosols in Asia. Mann–Kendall trend test was used to show the trend of AOD. The relationship of AOD with weather parameters and general AOD trend over different wavelengths has also been shown. AOD's trend has been observed significant throughout the year in Solar Village, while in Dunhuang and Dalanzadgad the significant trend has been found only in peak period(March–June).Analysis show high values of AOD and low values of angstrom in Solar Village during peak period. In Chinese desert regions, high values of AOD have been found during peak period and low values in pre-peak period. Significant relationship has been observed between AOD and average temperature in Solar Village and Dalanzadgad whereas rainfall and wind speed showed no significant impact on AOD in all desert regions.
