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Chemical characteristics of PM_(2.5) during dust storms and air pollution events in Chengdu,China 被引量:23
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作者 Qiyuan Wang Junji Cao +5 位作者 Zhenxing Shen JunTao Shun Xiao Lei Luo Qingyang He Xinying Tang 《Particuology》 SCIE EI CAS CSCD 2013年第1期70-77,共8页
Daily fine particulate (PM2.5) samples were collected in Chengdu from April 2009 to February 2010 to investigate their chemical profiles during dust storms (DSs) and several types of pollution events, including ha... Daily fine particulate (PM2.5) samples were collected in Chengdu from April 2009 to February 2010 to investigate their chemical profiles during dust storms (DSs) and several types of pollution events, including haze (HDs), biomass burning (BBs), and fireworks displays (FDs). The highest PM2.5 mass concentrations were found during DSs (283.3 μg/m^3), followed by FDs (212.7 μg/m^3), HDs (187.3 μg/m^3 ), and BBs (130.1 μ g/m^3). The concentrations of most elements were elevated during DSs and pollution events, except for BBs. Secondary inorganic ions (NO3^- , SO4^2-, and NH4^+) were enriched during HDs, while PM2.5 from BBs showed high K^+ but low SO4^2- , FDs caused increases in K^+ and enrichment in SO4^2-. Ca^2+. was abundant in DS samples, Ion-balance calculations indicated that PM2.5 from HDs and FDs was more acidic than on normal days, but DS and BB particles were alkaline. The highest organic carbon (OC) concentration was 26.1 μg/m^3 during FDs, followed by BBs (23.6 μg/m^3 ), HDs (19.6 μg/m^3 ), and DSs (18.8 μg/m^3 ). In contrast, elemental carbon (EC) concentration was more abundant during HDs (10.6μg/m^3) and FDs (9.5 μg/m^3) than during BBs (6.2μg/m^3) and DSs (6.0 μg/m^3). The highest OC/EC ratios were obtained during BBs, with the lowest during HDs. SO4^2+ /K^+ and TCA/SO4^2- ratios proved to be effective indicators for differentiating pollution events. Mass balance showed that organic matter, SO4^2-, and NO3^- were the dominant chemical components during pollution events, while soil dust was dominant during DSs. 展开更多
关键词 pm2.5 chemical species pollution events mass balance
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Elemental Compositions and Chemical Mass Closure of Fine Particulate in an Animal Feeding Operation Facility and Its Vicinity
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作者 Qian-Feng Li Lingjuan Wang-Li +1 位作者 R. K. M. Jayanty Sanjay Shah 《Journal of Environmental Protection》 2015年第5期409-425,共17页
Particulate matter (PM) emissions from animal feeding operations (AFOs) have been considered as an important contributor to ambient PM in rural areas. Investigation of the chemical compositions of PM2.5 inside and in ... Particulate matter (PM) emissions from animal feeding operations (AFOs) have been considered as an important contributor to ambient PM in rural areas. Investigation of the chemical compositions of PM2.5 inside and in the vicinity of AFOs can enhance our understanding of the AFO emissions impact on ambient PM characteristics. This year-long field study was conducted on a commercial egg production farm to investigate ambient PM chemical compositions as impacted by the air emissions from the production houses. The PM2.5 samples were collected from five sampling stations (one in-house station and four ambient locations in four wind directions). The trace elements, major ions, organic carbon (OC) and element carbon (EC) were analyzed by X-ray florescence (XRF), ion chromatography (IC), and thermo-optical analyzer, respectively. There were significant differences in elemental compositions between PM samples from in-house station (ST1) and ambient stations (ST2-ST5). The chemical mass balance analysis revealed that OC accounted for above 50% of PM2.5 mass at in-house and ambient stations;NH4+, SO42-, and NO3- accounted for about 40.0% of the total PM2.5 mass in ambient locations and for only 12% of the total PM2.5 mass in house. The measured PM2.5 masses agreed with the sums of the masses of chemical compositions at all stations except for the in-house station. Knowledge gained from this study, with additional consideration of NH3 concentrations and emissions, will lead to better understanding of PM2.5 source and formation, fate and transport, and their atmospheric dynamics. 展开更多
关键词 Animal Feeding Operations pm2.5 chemical SPECIATION ELEMENTAL composition mass balance
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北京PM_(2.5)化学物种的质量平衡特征 被引量:63
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作者 杨复沫 贺克斌 +4 位作者 马永亮 张强 Cadle S H Chan T Mulawa P A 《环境化学》 CAS CSCD 北大核心 2004年第3期326-333,共8页
以北京 2个采样点连续采集的样品对PM2 5中的元素、水溶性离子和含碳组分进行分析 .车公庄和清华园PM2 5中有机物的含量分别为 2 7 8%和 30 9% ,是含量最丰富的物种 ,其次是二次无机粒子、土壤尘、元素碳和微量元素 .PM2 5中约有 2 ... 以北京 2个采样点连续采集的样品对PM2 5中的元素、水溶性离子和含碳组分进行分析 .车公庄和清华园PM2 5中有机物的含量分别为 2 7 8%和 30 9% ,是含量最丰富的物种 ,其次是二次无机粒子、土壤尘、元素碳和微量元素 .PM2 5中约有 2 4 %的质量未能鉴别成分 ,相关性分析表明 ,含碳物种的估算所引起的偏差可能是主要的原因 .采暖期重污染周和春季沙尘周PM2 5的化学物种构成悬殊 ,反映了季节性变化的源排放和特殊气象条件的综合作用 . 展开更多
关键词 pm2.5 化学物种 污染源 质量平衡法 分析方法 有机物 微量元素 大气污染
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龙游县PM 2.5化学组分特征及来源解析 被引量:1
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作者 杨圣 陈雳华 +2 位作者 武燕燕 韩黎霞 叶心妤 《环境污染与防治》 CAS CSCD 北大核心 2021年第1期52-56,共5页
为明确浙江省龙游县环境中PM 2.5的化学组分特征及来源,于2018年在龙游县3个代表性点位采集4个季节的环境PM 2.5样品,分析了PM 2.5中的无机元素、水溶性无机离子和碳组分含量,并采用化学质量平衡模型(CMB)计算了7类污染源的贡献率。结... 为明确浙江省龙游县环境中PM 2.5的化学组分特征及来源,于2018年在龙游县3个代表性点位采集4个季节的环境PM 2.5样品,分析了PM 2.5中的无机元素、水溶性无机离子和碳组分含量,并采用化学质量平衡模型(CMB)计算了7类污染源的贡献率。结果表明:3个点位PM 2.5平均质量浓度春季为39.63μg/m^3、夏季为29.93μg/m^3、秋季为62.80μg/m^3、冬季为92.33μg/m^3,季节差异较为明显;PM 2.5的主要化学组分为NO3^-、SO4^2-、NH4^+、有机碳和元素碳;机动车尾气尘、工业、二次硝酸盐和二次硫酸盐为龙游县PM 2.5主要污染源。 展开更多
关键词 pm 2.5 来源解析 化学组分特征 化学质量平衡模型
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