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国家自然科学基金(21277003)

作品数:7 被引量:121H指数:5
相关作者:云慧黄晓锋宫照恒何凌燕张远航更多>>
相关机构:北京大学更多>>
发文基金:国家自然科学基金国家重点基础研究发展计划深圳市科技计划项目更多>>
相关领域:环境科学与工程更多>>

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Development of an on-line measurement system for water-soluble organic matter in PM_(2.5) and its application in China被引量:5
2018年
Water-soluble organic matter(WSOM) represents a critical fraction of fine particles(PM2.5)in the air, but its changing behaviors and formation mechanisms are not well understood yet, partly due to the lack of fast techniques for the ambient measurements. In this study,a novel system for the on-line measurement of water-soluble components in PM2.5, the particle-into-liquid sampler(PILS)–Nebulizer–aerosol chemical speciation monitor(ACSM), was developed by combining a PILS, a nebulizer, and an ACSM. High time resolution concentrations of WSOM, sulfate, nitrate, ammonium, and chloride, as well as mass spectra, can be obtained with satisfied quality control results. The system was firstly applied in China for field measurement of WSOM. The mass spectrum of WSOM was found to resemble that of oxygenated organic aerosol, and WSOM agreed well with secondary inorganic ions. All evidence collected in the field campaign demonstrated that WSOM could be a good surrogate of secondary organic aerosol(SOA). The PILS–Nebulizer–ACSM system can thus be a useful tool for intensive study of WSOM and SOA in PM2.5.
Huiying LiXiaofeng HuangLiming CaoYuhong ZhaiLiwu ZengLingyan He
关键词:PM2.5
基于在线观测的大气PM2.5中棕色碳吸光贡献估算被引量:5
2017年
使用三波长光声黑碳光度计(PASS-3)和气溶胶质谱仪(AMS),于2011年秋季在浙江城市点金华和2014年夏季河北区域点望都进行了大气在线观测,采用改进的光吸收Angstrom指数(AAE)的方法统计外推黑碳AAE值,估算这2个典型地区PM_(2.5)中棕色碳的吸光贡献.结果表明:经统计外推获得的金华和望都的黑碳AAE在405nm下的基准值分别是1.12和0.77,532nm下的基准值分别是0.87和0.63;进而估算金华和望都PM_(2.5)中的棕色碳在405nm下的吸光贡献分别为9.8%和22.3%;532nm下的吸光贡献分别为5.9%和15.2%,表明我国大气中气溶胶棕色碳在短波段下的吸光贡献和辐射强迫影响不可忽视.
崔杰黄晓锋袁金凤曹礼明王川兰紫娟何凌燕
Source apportionment and secondary organic aerosol estimation of PM_(2.5) in an urban atmosphere in China被引量:31
2014年
PM2.5 is the key pollutant in atmospheric pollution in China.With new national air quality standards taking effect,PM2.5 has become a major issue for future pollution control.To effectively prevent and control PM2.5,its emission sources must be precisely and thoroughly understood.However,there are few publications reporting comprehensive and systematic results of PM2.5 source apportionment in the country.Based on PM2.5 sampling during 2009 in Shenzhen and follow-up investigation,positive matrix factorization(PMF)analysis has been carried out to understand the major sources and their temporal and spatial variations.The results show that in urban Shenzhen(University Town site),annual mean PM2.5 concentration was 42.2μg m?3,with secondary sulfate,vehicular emission,biomass burning and secondary nitrate as major sources;these contributed30.0%,26.9%,9.8%and 9.3%to total PM2.5,respectively.Other sources included high chloride,heavy oil combustion,sea salt,dust and the metallurgical industry,with contributions between 2%–4%.Spatiotemporal variations of various sources show that vehicular emission was mainly a local source,whereas secondary sulfate and biomass burning were mostly regional.Secondary nitrate had both local and regional sources.Identification of secondary organic aerosol(SOA)has always been difficult in aerosol source apportionment.In this study,the PMF model and organic carbon/elemental carbon(OC/EC)ratio method were combined to estimate SOA in PM2.5.The results show that in urban Shenzhen,annual SOA mass concentration was 7.5μg m?3,accounting for 57%of total organic matter,with precursors emitted from vehicles as the major source.This work can serve as a case study for further in-depth research on PM2.5 pollution and source apportionment in China.
HUANG XiaoFengYUN HuiGONG ZhaoHengLI XiangHE LingYanZHANG YuanHangHU Min
关键词:PM2.5
Characterization of particle number size distribution and new particle formation in Southern China被引量:5
2017年
Knowledge of particle number size distribution(PND) and new particle formation(NPF)events in Southern China is essential for mitigation strategies related to submicron particles and their effects on regional air quality,haze,and human health.In this study,seven field measurement campaigns were conducted from December 2013 to May 2015 using a scanning mobility particle sizer(SMPS) at four sites in Southern China,including three urban sites and one background site.Particles were measured in the size range of15-515 nm,and the median particle number concentrations(PNCs) were found to vary in the range of 0.3× 10~4-2.2 × 10~4 cn^(-3) at the urban sites and were approximately 0.2 × 10~4 cm^(-3) at the background site.The peak diameters at the different sites varied largely from 22 to 102 nm.The PNCs in the Aitken mode(25-100 nm) at the urban sites were up to 10 times higher than they were at the background site,indicating large primary emissions from traffic at the urban sites.The diurnal variations of PNCs were significantly influenced by both rush hour traffic at the urban sites and NPF events.The frequencies of NPF events at the different sites were0%-30%,with the highest frequency occurring at an urban site during autumn.With higher SO_2 concentrations and higher ambient temperatures being necessary,NPF at the urban site was found to be more influenced by atmospheric oxidizing capability,while NPF at the background site was limited by the condensation sink.This study provides a unique dataset of particle number and size information in various environments in Southern China,which can help understand the sources,formation,and the climate forcing of aerosols in this quickly developing region,as well as help constrain and validate NPF modeling.
Xiaofeng HuangChuan WangJianfei PengLingyan HeLiming CaoQiao ZhuJie CuiZhijun WuMin Hu
PM_(2.5)中水溶性有机物吸光特性的模拟研究被引量:8
2013年
研究建立了超声雾化器与光声光谱仪,扫描电迁移率颗粒物粒径谱仪联用的分析系统,将深圳市2011年夏季采集的PM2.5膜样品提取液雾化发生气溶胶,使之进入光声光谱仪检测其吸光强度以研究气溶胶中水溶性有机物(WSOM)的吸光特征.结果表明:观测期间PM2.5中WSOM平均质量浓度为(4.3±2.3)μg/m3,分别占PM2.5和OM质量浓度的11.9%±4.8%和49.2%±18.5%.WSOM在405,532,781nm波长下的质量吸收效率值(MAE)分别为(0.55±0.31),(0.54±0.31),(0.21±0.13)m2/g.经计算所得:深圳市夏季大气PM2.5中WSOM在405,532,781nm波长下的平均吸收系数分别为(2.30±1.08),(2.25±1.26),(0.86±0.45)Mm-1,对应的WSOM对大气PM2.5整体吸光效应的贡献率分别为7.6%,10.6%和5.8%,说明WSOM对PM2.5整体吸光效应的贡献不容忽视,有机气溶胶在大气灰霾中的能见度损害作用值得进一步深入研究.
吴一凡黄晓锋兰紫娟宫照恒云慧何凌燕
关键词:光声光谱仪
Chemical characterization and source apportionment of atmospheric submicron particles on the western coast of Taiwan Strait, China被引量:1
2017年
Taiwan Strait is a special channel for subtropical East Asian Monsoon and its western coast is an important economic zone in China. In this study, a suburban site in the city of Xiamen on the western coast of Taiwan Strait was selected for fine aerosol study to improve the understanding of air pollution sources in this region. An Aerodyne high-resolution time-of-flight aerosol mass spectrometer(HR-To F-AMS) and an Aethalometer were deployed to measure fine aerosol composition with a time resolution of 5 min from May 1to 18, 2015. The average mass concentration of PM1 was 46.2 ± 26.3 μg/m^3 for the entire campaign. Organics(28.3%), sulfate(24.9%), and nitrate(20.6%) were the major components in the fine particles, followed by ammonium, black carbon(BC), and chloride. Evolution of nitrate concentration and size distribution indicated that local NOx emissions played a key role in high fine particle pollution in Xiamen. In addition, organic nitrate was found to account for 9.0%–13.8% of the total measured nitrate. Positive Matrix Factorization(PMF)conducted with high-resolution organic mass spectra dataset differentiated the organic aerosol into three components, including a hydrocarbon-like organic aerosol(HOA) and two oxygenated organic aerosols(SV-OOA and LV-OOA), which on average accounted for 27.6%,28.8%, and 43.6% of the total organic mass, respectively. The relationship between the mass concentration of submicron particle species and wind further confirmed that all major fine particle species were influenced by both strong local emissions in the southeastern area of Xiamen and regional transport through the Taiwan Strait.
Liming CaoQiao ZhuXiaofeng HuangJunjun DengJinsheng ChenYouwei HongLingling XuLingyan He
深圳大气PM_(2.5)来源解析与二次有机气溶胶估算被引量:73
2014年
PM2.5是我国大气复合污染的关键污染物,随着新的国家空气质量标准的实施,PM2.5成为未来我国大气污染防控的重点对象.准确细致地掌握PM2.5的来源结构是有效防控PM2.5的前提条件,但全面系统的我国PM2.5源解析研究结果在国内外文献中却鲜有报道.研究基于2009年全年在深圳开展的PM2.5样品采集与分析,应用正向矩阵因子解析(PMF)模型对其主要来源及时空变化规律进行了解析,结果表明,深圳市区(大学城点)大气PM2.5年均浓度为42.2μg m-3,其中二次硫酸盐生成、机动车排放、生物质燃烧和二次硝酸盐生成是最主要来源,对PM2.5总质量分别贡献了30.0%,26.9%,9.8%和9.3%;高氯源、重油燃烧、海盐、扬尘和冶金工业分别贡献了PM2.5总质量的2%~4%.不同源贡献的时空变化规律显示,机动车排放主要为本地源,二次硫酸盐和生物质燃烧主要为区域源,而本地排放和区域传输对二次硝酸盐生成都有重要贡献.二次有机气溶胶(SOA)的识别一直是颗粒物源解析的难点,在本研究中结合了PMF模型与OC/EC比值法对PM2.5中SOA进行了估算,结果表明,深圳市区(大学城点)PM2.5中SOA年均浓度为7.5μg m-3,占有机物质量的57%,机动车排放是SOA前体物的最主要来源.研究可为国内今后更广泛深入地开展PM2.5污染与源解析研究提供相关案例借鉴.
黄晓锋云慧宫照恒李响何凌燕张远航胡敏
关键词:PM2源解析二次有机气溶胶
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