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极干旱地区沙尘与非沙尘天气PM_(2.5)及所含金属元素的浓度特征分析 被引量:10
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作者 玉散.吐拉甫 迪丽努尔.塔力甫 +4 位作者 王新明 丁翔 阿布力克木.阿不力孜 买丽克扎提.买合木提 米吉提.依明 《生态环境学报》 CSCD 北大核心 2017年第9期1529-1538,共10页
大气PM_(2.5)污染和金属元素健康风险已成为大气环境研究热点。研究目标区域位于塔克拉玛干沙漠南缘,气候极其干旱,全年降水稀少,风沙较多,沙尘天气一定程度上影响着该区域的大气环境。于2014年1月、4月、7月和10—11月在和田市城区采集... 大气PM_(2.5)污染和金属元素健康风险已成为大气环境研究热点。研究目标区域位于塔克拉玛干沙漠南缘,气候极其干旱,全年降水稀少,风沙较多,沙尘天气一定程度上影响着该区域的大气环境。于2014年1月、4月、7月和10—11月在和田市城区采集PM_(2.5)样品,采用电感耦合等离子体质谱仪(ICP-MS)测定了样品中的17种金属元素,分析了金属元素在不同季节沙尘和非沙尘气象状况下的暴露特征及与气象参数的关系,采用富集因子(EF)和正交矩阵因子(PMF)法对金属元素来源进行了分析并对健康风险进行了评价。结果表明,(1)PM_(2.5)质量浓度季节性特征表现为春季(973.5 9μg·m^(-3))>夏季(728.08μg·m^(-3))>秋季(366.51μg·m^(-3))>冬季(259.84μg·m^(-3)),并且PM_(2.5)质量浓度与风速和温度呈正相关。(2)PM_(2.5)中金属元素质量浓度在沙尘天气(108.12~268.25μg·m^(-3))明显高于非沙尘天气(43.19~126.41μg·m^(-3)),秋季金属元素Ni、Cd和Pb出现富集,EF值分别为10.26、42.06、27.39;冬季Ni、Zn、As、Cd和Pb出现富集,EF值分别为22.46、11.03、18.49、84.35、206.03。(3)金属元素在沙尘期间的来源主要为汽车排放(17.66%)、生物质燃烧(10.58%)、化石燃料9.97%和扬沙(61.78%),非沙尘期间4种排放源的贡献分别为23.63%、20.34%、18.39%、37.63%。(4)健康风险评价结果表明,金属元素风险指数小于阈值1,可以忽略;致癌金属Cr的致癌风险值小于10^(-6),没有致癌风险,但Co、Ni、As和Cd的致癌风险值在10^(-6)~10^(-4)之间,有一定的致癌风险。 展开更多
关键词 和田市城区 沙尘/非沙尘天气 PM2.5 金属元素 PMF
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Humidity and PM_(2.5) composition determine atmospheric light extinction in the arid region of northwest China 被引量:5
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作者 Xiaoxiao Zhang Xiang Ding +4 位作者 Dilinuer Talifu Xinming Wang Abulikemu Abulizi mailikezhati maihemuti Suwubinuer Rekefu 《Journal of Environmental Sciences》 SCIE EI CAS CSCD 2021年第2期279-286,共8页
Atmospheric visibility can directly reflect the air quality.In this study,we measured watersoluble ions(WSIs),organic and element carbon(OC and EC)in PM 2.5 from September 2017 to August 2018 in Urumqi,NW China.The re... Atmospheric visibility can directly reflect the air quality.In this study,we measured watersoluble ions(WSIs),organic and element carbon(OC and EC)in PM 2.5 from September 2017 to August 2018 in Urumqi,NW China.The results show that SO4^2-,NO 3^(-)and NH4^(+)were the major WSIs,together accounting for 7.32%-84.12%of PM 2.5 mass.Total carbon(TC=OC+EC)accounted for 12.12%of PM 2.5 mass on average.And OC/EC>2 indicated the formation of secondary organic carbon(SOC).The levels of SO4^2-,NO3^(-)and NH4^(+)in low visibility days were much higher than those in high visibility days.Relative humidity(RH)played a key role in affecting visibility.The extinction coefficient(b ext)that estimated via Koschmieder formula with visibility was the highest in winter(1441.05±739.95 Mm-1),and the lowest in summer(128.58±58.00 Mm^(-)1).The b ext that estimated via IMPROVE formula with PM 2.5 chemical component was mainly contributed by(NH 4)2 SO4 and NH4 NO3.The b ext values calculated by both approaches presented a good correlation with each other(R^2=0.87).Multiple linear regression(MLR)method was further employed to reconstruct the empirical regression model of visibility as a function of PM 2.5 chemical components,NO_(2) and RH.The results of source apportionment by Positive Matrix Factorization(PMF)model showed that residential coal combustion and vehicle emissions were the major sources of b ext. 展开更多
关键词 Aerosol chemical composition VISIBILITY IMPROVE Light extinction Source apportionment South of Urumqi
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