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6篇 您的检索式:作者名="Ho Kinfai"
    题名 作者 年代 出处 被引量
1PM_(2.5) and PM_(10-2.5) chemical composition and source apportionment near a Hong Kong roadway显示文摘Twenty-four-hour PM_(2.5) and PM_(10) samples were collected simultaneously at a highly trafficked roadside site in Hong Kong every sixth day from October 2004 to September 2005.The mass concentrations of PM_(2.5),PM_(10-2.5)(defined as PM_(10)- PM_(2.5)),organic carbon(OC),elemental carbon(EC),water-soluble ions,and up to 25 elements were determined.Investigation of the chemical compositions and potential sources revealed distinct differences between PM_(2.5) and PM_(10-2.5).The annual average mass concentrations were 55.5±25.5 and 25.9±15.7 ug/m^3 for PM_(2.5) and PM_(10-2.5),respectively.EC,OM(OM =OC×1.4),and ammonium sulfate comprised over ~82% of PM_(2.5),accounting for^29%,~27%,and ~25%,respectively,of the PM_(2.5) mass.Low OC/EC ratios(less than 1) for PM_(2.5) suggested that fresh diesel-engine exhaust was a major contributor.Seven sources were resolved for PM_(2.5) by positive matrix factorization(PMF) model,including vehicle emissions(~29%),secondary inorganic aerosols(~27%),waste incinerator/biomass burning(~23%),residual oil combustion(~10%),marine aerosols(~6%),industrial exhaust(~4%),and resuspended road dust(~1%).EC and OM comprised only ~19%of PM_(10-2.5).The average OC/EC ratio of PM_(10-2.5) was 7.8±14.2,suggesting that sources other than vehicular exhaust were important contributors.The sources for PM_(10-2.5) determined by the PMF model included ~20%traffic-generated resuspension(e.g.,tire dust/brake linear/petrol evaporation),~17% locally resuspended road dust,~17% marine aerosols,~12% secondary aerosols/field burning,and ~11%vehicle emissions.Yan Cheng Shuncheng Lee Zhaolin Gu Kinfai Ho Yunwei Zhang Yu Huang Judith C.Chow John G.Watson Junji Cao Renjian Zhang 2015Particuology2015,13,1:14
2西汉张安世墓葬M1墓室内的大气环境调查显示文摘了解待发掘封闭墓葬内的大气环境,可为考古发掘和文物保存环境研究提供科学依据。西汉张安世墓园中的M1墓葬是一座未被盗扰的墓室,本研究在墓室开启前,有针对性地监测了墓室内的微气候参数和大气污染物。结果显示,相对于外界大气,密闭的墓室内低温、高湿、缺氧,且酸性气态污染物浓度较低。因此,在考古发掘及后续保存文物时,应针对不同文物材料采取密闭容器、保湿、避光等措施,避免由于环境骤变导致文物的风化损坏。本研究建立的待发掘墓葬大气环境测试体系及基础数据,可为相关考古和文保工作提供有益的借鉴。曹军骥 杨军昌 胡塔峰 Lee Shuncheng 王新明 Ho Kinfai 董俊刚 丁岩 2013文物保护与考古科学2013,25,2:4
3Impact of PM 2.5 chemical compositions on aerosol light scattering in Guangzhou — the largest megacity in South China显示文摘Jun Tao Leiming Zhang Kinfai Ho Renjian Zhang Zejian Lin Zhisheng Zhang Mang Lin Junji Cao Suixing Liu Gehui Wang 2014Atmospheric Research2014,,:1
4Real-time characterization of particle-bound polycyclic aromatic hydrocarbons at a heavily trafficked roadside site 显示文摘CHENG Yan HO Kinfai WU Wenjing 2012Aerosol and Air Quality Research2012,12,6:1
5Chemical characterization of aerosol collected at Mt. Yulong in wintertime on the southeastern Tibetan Plateau显示文摘Ningning Zhang Junji Cao Kinfai Ho Yuanqing He 2011Atmospheric Research2011,,:1
6Light attenuation cross-section of black carbon in an urban atmosphere in northern China显示文摘Fine particulate matter(PM_(2.5)) samples were collected over two years in Xi'an,China to investigate the relationships between the aerosol composition and the light absorption efficiency of black carbon(BC).Real-time light attenuation of BC at 880 nm was measured with an aethalometer.The mass concentrations and elemental carbon(EC) contents of PM_(2.5) were obtained,and light attenuation cross-sections(σ_(ATN))of PM_(2.5) BC were derived.The mass of EC contributed ~5% to PM2.5 on average.BC σ_(ATN) exhibited pronounced seasonal variability with values averaging 18.6,24.2,16.4,and 26.0 m^2/g for the spring,summer,autumn,and winter,respectively,while averaging 23.0 m^2/g overall.σ_(ATN) varied inversely with the ratios of EC/PM_(2.5),EC/[SC_4^(2-)],and EC/[NO_3^-].This study of the variability in σ_(ATN) illustrates the complexity of the interactions among the aerosol constituents in northern China and documents certain effects of the high EC,dust,sulfate and nitrate loadings on light attenuation.Junji Cao Chongshu Zhu Kinfai Ho Yongming Han Zhenxing Shen Changlin Zhan Jiaquan Zhang 2015Particuology2015,13,1:0
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