Sources of PM10 and PM2.5 in Cairo’s ambient air

A source attribution study was performed to assess the contributions of specific pollutant source types to the observed particulate matter (PM) levels in the greater Cairo Area using the chemical mass balance (CMB) receptor model. Three intensive ambient monitoring studies were carried out during the period of February 21–March 3, 1999, October 27–November 27, 1999, and June 8–June 26, 2002. PM₁₀, PM_2.5, and polycyclic aromatic hydrocarbons (PAHs) were measured on a 24-h basis at six sampling stations during each of the intensive periods. The six intensive measurement sites represented background levels, mobile source impacts, industrial impacts, and residential exposure. Major contributors to PM₁₀ included geological material, mobile source emissions, and open burning. PM_2.5 tended to be dominated by mobile source emissions, open burning, and secondary species. This paper presents the results of the PM₁₀ and PM_2.5, source contribution estimates.     

SPE-GCMS法分析饮用水源水中痕量半挥发性有机物

采用C 18固相萃取柱富集,乙酸乙酯、二氯甲烷和丙酮混合溶剂以1∶1∶1比例洗脱、自动固相萃取的前处理方法,气相色谱质谱连用,分析水源水中33种半挥发性有机物,并与液液萃取前处理方法进行比较。结果表明:在500~5 000μg/L范围内,33种SVOC线性良好,相关系数0.990,回收率为70.1%~114.2%,相对标准偏差为2.4%~13.4%,方法检出限为0.06~0.25μg/L;而且该方法较液液萃取,检出样品种类多。适用于饮用水源水中半挥发性有机物的监测。     

不同环境介质中抗生素的污染现状及其检测方法研究进展

综述了环境中抗生素的来源、国内外不同环境介质中抗生素的污染水平及检测方法。现有研究表明,抗生素污染已遍布土壤、水体、动植物组织等介质中,且国内抗生素污染水平较国外相对偏高。通过不同检测技术的优劣对比,得出固相萃取技术与液相色谱质谱联用技术是目前最常用的样品前处理技术和检测方法,具有灵敏度高和精确度好的特点。     

Receptor modeling for source apportionment of polycyclic aromatic hydrocarbons in urban atmosphere

This study reports source apportionment of polycyclic aromatic hydrocarbons (PAHs) in particulate depositions on vegetation foliages near highway in the urban environment of Lucknow city (India) using the principal components analysis/absolute principal components scores (PCA/APCS) receptor modeling approach. The multivariate method enables identification of major PAHs sources along with their quantitative contributions with respect to individual PAH. The PCA identified three major sources of PAHs viz. combustion, vehicular emissions, and diesel based activities. The PCA/APCS receptor modeling approach revealed that the combustion sources (natural gas, wood, coal/coke, biomass) contributed 19–97% of various PAHs, vehicular emissions 0–70%, diesel based sources 0–81% and other miscellaneous sources 0–20% of different PAHs. The contributions of major pyrolytic and petrogenic sources to the total PAHs were 56 and 42%, respectively. Further, the combustion related sources contribute major fraction of the carcinogenic PAHs in the study area. High correlation coefficient (R ² > 0.75 for most PAHs) between the measured and predicted concentrations of PAHs suggests for the applicability of the PCA/APCS receptor modeling approach for estimation of source contribution to the PAHs in particulates.     

质谱直接测量法解析盐城市大气细颗粒物来源

为全面了解盐城市大气颗粒物的组成,摸清以PM2.5为首要污染物的来源,说清其化学组分和源贡献率,于2014年12月16日00:00—2014年12月21日09:00,利用在线单颗粒气溶胶质谱仪,对盐城市细颗粒物进行实时在线源解析。结果表明,盐城首要污染物为燃煤,占比为23.7%,其次是机动车尾气,占比为18.3%,第三位是扬尘,占总颗粒数的15.7%,生物质燃烧占比为14.8%位列第四,工业工艺源、二次无机源和其他源贡献率相对较小。     

同位素技术在环境科学研究中的应用进展

综述了近年来同位素技术在国内外环境科学研究中的应用状况,简要介绍了同位素技术的应用原理与分析方法。总结了放射性同位素技术和稳定同位素技术在环境史重建、污染物示踪及源解析等方面的应用,重点介绍了稳定同位素技术在水、大气和土壤污染物源解析中的应用进展。对未来同位素技术在环境科学研究中的应用进行了展望,提出了多种同位素联合解析、建立和完善定量源解析模型等建议。     

基于高通量定量PCR研究城市化小流域微生物污染特征

水体微生物污染(包括致病菌、病毒、寄生虫)会引起多种传染病和寄生虫病,对生产生活用水安全和人体健康造成重要威胁。本研究应用基于Taq Man探针的高通量荧光定量PCR技术对厦门市后溪流域冬季微生物污染进行检测,包含了5种粪便污染源(人源、反刍动物源、猪源、家禽源、狗源)微生物源示踪分子标记物与12种病原微生物。结果表明,该流域在上游及水库5个位点没有粪便污染,仅在其中一个水库位点检测出棘阿米巴,微生物污染极小;中下游检测出人类、反刍动物、猪、家禽、狗粪便污染,并且检测出产气荚膜梭菌、肠聚集性大肠杆菌、肠毒素型大肠杆菌、幽门螺杆菌、霍乱弧菌、副溶血弧菌、棘阿米巴、克雷伯氏肺炎杆菌等病原菌,其中流经旧城区居民生活生产区水样微生物污染严重,下游新城区微生物污染较小。这些结果暗示着城市人类活动是流域微生物污染主要来源,应从污染源头加强微生物污染控制。     

四川省游客流时间分布特征及成因分析

将四川省作为旅游目的地,以旅游人数为指标,运用季节性强度指数、季节指数以及数理统计方法比较分析了四川省入境游客流与国内游客流的时间分布特征,主要从年际变化特征与月变化特征两个方面进行研究。依据四川省主要旅游景点季节性强度指数的时间变化特征,从旅游主体、旅游客体和旅游媒体三方面分别探讨了游客流时间变化的成因,重点研究了旅游客体类型、知名度、区位等因素对游客流时间分布特征的影响。     

PM(10)-bound polycyclic aromatic hydrocarbons: biological indicators, lung cancer risk of realistic receptors and 'source-exposure-effect relationship' under different source scenarios

Cancer has become a critical health issue in the world heritage city Kandy, Sri Lanka. Polycyclic aromatic hydrocarbons (PAHs), one of persistent organic pollutants, in the atmosphere may be a major etiological factor in lung carcinogenicity. Over the very high concentrations of ambient air PAHs reported in Kandy, this paper is focused on setting priorities to control human exposure to PAHs in prevention of cancer.On re-appraisal of the classical indicator benzo(a)pyrene (B[a]P) for atmospheric PAHs-related carcinogenicity, B[a]P failed to reflect the toxicity completely and may not be the sole indicator for risk assessment studies in complex multi-sourced urban environments. The excess lifetime lung cancer risks of atmospheric PAHs with ‘less than lifetime exposure’ were assessed based on both ‘B[a]P toxic equivalents’ and ‘B[a]P surrogate epidemiological’ approach of risk quantification, over emissions characterized urban, suburban, and rural areas of Kandy. In urban heavy traffic areas, PAH-related additional cancer burden has been 942 million⁻¹ over 30 y of exposure. Over the whole study area, ∑p-PAHs show strong correlation (r = 0.8) to the predicted risk levels. While the urban and suburban predicted cancer risk levels could not show significant correlation to their emission sources indicating the real complexity in mega urban environments, the rural lung cancer risk levels correlated perfectly with the source, firewood combustion.Policy decisions on environment and health could be based on established correlations among ‘emission sources-exposures-health effects’. The priority for “analysis of options and policy formulation to reduce inhalation PAHs exposure of population in Kandy” was considered “moderate to high”.     

Application of positive matrix factorization in characterization of PM(10) and PM(2.5) emission sources at urban roadside

The 24-h average coarse (PM₁₀) and fine (PM_2.5) fraction of airborne particulate matter (PM) samples were collected for winter, summer and monsoon seasons during November 2008-April 2009 at an busy roadside in Chennai city, India. Results showed that the 24-h average ambient PM₁₀ and PM_2.5 concentrations were significantly higher in winter and monsoon seasons than in summer season. The 24-h average PM₁₀ concentration of weekdays was significantly higher (12-30%) than weekends of winter and monsoon seasons. On weekends, the PM_2.5 concentration was found to slightly higher (4-15%) in monsoon and summer seasons. The chemical composition of PM₁₀ and PM_2.5 masses showed a high concentration in winter followed by monsoon and summer seasons.The U.S.EPA-PMF (positive matrix factorization) version 3 was applied to identify the source contribution of ambient PM₁₀ and PM_2.5 concentrations at the study area. Results indicated that marine aerosol (40.4% in PM₁₀ and 21.5% in PM_2.5) and secondary PM (22.9% in PM₁₀ and 42.1% in PM_2.5) were found to be the major source contributors at the study site followed by the motor vehicles (16% in PM₁₀ and 6% in PM_2.5), biomass burning (0.7% in PM₁₀ and 14% in PM_2.5), tire and brake wear (4.1% in PM₁₀ and 5.4% in PM_2.5), soil (3.4% in PM₁₀ and 4.3% in PM_2.5) and other sources (12.7% in PM₁₀ and 6.8% in PM_2.5).