全二维气相色谱/飞行时间质谱联用监测环境空气中VOCs

采用全采样系统-全二维气相色谱/飞行时间质谱联用技术监测环境空气中的VOCs,优化了调制周期、升温程序、进样体积等分析条件.39种目标化合物在0 μg/m3～10.0 μg/m3范围内线性良好,检出限范围为0.03 μg/m3～0.09 μg/m3,标准气体平行测定的RSD为1.1％ ～5.3％.应用于化工园区环境空气样品测定,与热脱附-气相色谱/质谱法相比,目标物的分离效果更佳.     

固体吸附热脱附气相色谱质谱法测定半导体行业废气中的VOC_S

采用固体吸附热脱附气相色谱质谱法对半导体行业废气中的VOCs进行了测定,每个分析物质的方法捡出限0.02mg/m3,回收率73%～123%,线性范围宽.     

泰州市夏季大气典型VOCs污染特征及健康风险评估

于2019年8—9月,采用大气预浓缩-气相色谱质谱联用仪(GC-MS)对泰州市3个监测点位环境空气中57种挥发性有机物(VOCs)进行分析,并开展了VOCs组成特征、臭氧生成潜势(OFP)、VOCs来源及健康风险评价研究。结果表明:3个点位环境空气中φ(VOCs)范围为1.3×10^(-9)~46.9×10^(-9),平均值为8.5×10^(-9)。烷烃在VOCs中所占比例最大。各点位φ(VOCs)平均值依次为:工业园区>公园路>天德湖公园。公园路点位VOCs中苯系物受汽车尾气排放影响较大,天德湖公园和工业园区点位除了受汽车尾气排放影响,还受到有机溶剂和涂料的挥发影响,主要受本地污染主导。OFP中贡献最大的物质为乙烯,OFP值为5.5μg/m^(3),其次为烷烃。健康风险评价结果显示,各点位VOCs非致癌类风险均较低,处于安全范围内。各点位夏季环境空气中苯对人体均具有一定致癌风险。     

泰州市环境空气中挥发性有机物分布特征

于2018年4—9月对泰州市环境空气中挥发性有机物(VOCs)组分开展现场观测,结合观测数据分析该市大气中VOCs的时空分布特征。结果表明:观测期间泰州市环境空气中VOCs平均摩尔比为45.1 nmol/mol,其中含氧挥发性有机物占比为57.8%;受周边排放源和地理位置影响,下风向点位的VOCs测定值高于其他点位;VOCs月均最高值出现在6月,与臭氧月均最高值出现时间一致,7—9月气团出现老化,导致臭氧生成能力减弱;观测期间VOCs中甲苯/苯(T/B)比值范围为0.201 9～5.130 3,且大部分T/B比值2,说明溶剂、油气和液化石油气挥发等排放源对泰州市环境空气中VOCs的影响较为显著。     

菏泽市环境空气中VOCs污染特征研究

为研究菏泽市环境空气中VOCs的污染特征,参照EPA TO-15方法对菏泽市环境空气中的VOCs进行分析,并对VOCs的组成、浓度状况、来源和对臭氧生成潜势的贡献等进行探讨。结果表明,该市环境空气中共定性检出挥发性有机物82种,其中烷烃和苯系物分别占有机物种类的29%、22%,VOCs平均浓度为25.6μg/m3。监测期间,环境空气中的VOCs主要来自汽车尾气排放、汽油蒸汽、液态石油的挥发,其中交通尾气排放是该区域监测期间的主要排放源。烷烃、芳烃是对菏泽市环境空气中臭氧生成潜势贡献较大的关键活性组分,其对臭氧生产潜势的贡献率分别为32.6%、49.9%。     

气相色谱法同时测定制药企业废气中多种挥发性有机物

针对典型制药产品青霉素、阿莫西林、维生素C、对乙酰氨基酚生产过程的挥发性有机物(VOCs)排放特点,建立了吸附-解吸-气相色谱法同时检测制药企业废气中丙酮、乙酸乙酯、异丙醇、苯、甲苯、乙酸丁酯和正丁醇等7种特征VOCs的分析方法。采用活性炭采样管采样-二硫化碳解吸-毛细管色谱柱分离,在解吸时间30 min、柱温35℃保持6 min、30℃/min速率升温到200℃保持2 min的色谱分析条件下,各挥发性有机物可以实现良好的分离;7种物质标准曲线相关系数为0.999 8~0.999 9,相对标准偏差为1.1%~3.2%,检出限为0.004 mg/m3~0.014 mg/m3,7种物质的解吸效率为83.1%~105.1%。结果表明,该方法适用于典型制药企业固定污染源排放废气中特征VOCs的测定。     

SUMMA罐采样-GC×GC-TOFMS同时测定空气中有机硫化物

研究了SUMMA罐采样-全二维气相色谱-飞行时间质谱法测定环境空气中有机硫化物。采用SUMMA罐采集样品,自动进样器进样,三级冷阱预浓缩样品,全二维气相色谱-飞行时间质谱法(GC×GC-TOFMS)测试分析,以较长的非极性柱Rxi-5MS(30 m×320μm×1.0μm)作为第一维柱,较短的中等极性柱DB-17MS(2.0 m×0.1 mm×0.1μm)作为第二维柱,对环境空气中的有机硫化物进行了定性定量分析。结果表明,该方法特性不仅满足方法学要求,而且比《空气和废气监测分析方法》(第4版)推荐的方法更加优异,能够准确、快速地检测环境空气中有机硫化物。     

典型化工园区大气中挥发性有机物污染调查

对常州市某典型化工园区大气中挥发性有机物(VOCs)污染状况进行了调查。结果表明,该化工园区大气中检出挥发性有机物共有58种,组分有芳香烃、饱和烷烃、卤代烃、烯烃、醛酯类化合物及其他类;苯、甲苯、乙苯、二甲苯为主要挥发性有机污染物,质量浓度为1.0~194μg/m~3;均未超出参考标准的限值。背景点位和园区点位大气中主要ρ总(VOCs)在秋冬季最高,敏感点大气VOCs随季节变化也较为明显;园区T1和T2ρ总(VOCs)年均值高于敏感点位,背景点位年均值最低;园区点位除了汽车尾气排放之外,溶剂的挥发和生产工艺中污染物的排放也增加了大气中苯系物的浓度,同时也对敏感点位和对照点位的大气质量产生了一定的影响。     

预浓缩系统-全二维气相色谱-飞行时间质谱分析环境空气中挥发性有机物

采用SummA罐采集样品，自动进样器进样，三级冷阱预浓缩样品，全二维气相色谱／飞行时间质谱法（GC×GC／TOFMS）测试分析，以较长的非极性柱Rxi-5MS（60m×320μm×1．0μm）作为第一维柱，较短的中等极性柱DB-17MS（2．0×0．1mm×0．1μm）作为第二维柱，对环境空气中的VOC成分进行了定性定量分析。通过考察方法的线性范围、精密度、加标回收率、检出限与《空气和废气监测分析方法》（四版）给出的两个方法比较，证实该方法特性不仅满足方法学要求，而且能够更加准确快速监测环境空气中VOC。     

走航溯源耦合在线监测分析喷涂企业排放VOCs对大气臭氧污染的影响

选择某喷涂企业附近环境空气为采样点位,在3个监测时段（5、9、11月）基于成分监测车在线监测107种挥发性有机物（VOCs）,分析环境空气中VOCs污染特征和成分,结合走航监测车进行溯源分析,利用MCM模式结合敏感性实验研究了臭氧生成机制。结果表明：5月A时段的VOCs总浓度（247.43 μg/m³）高于其他2个监测时段（134.29、107.07 μg/m³）,体现了VOCs季节性的变化趋势;3个监测时段VOCs浓度均以含氧有机物为主,其占比分别为44.36%、55.30%和37.90%,其次为芳香烃和烷烃,但不同监测时段同类VOCs占比各不相同,体现了不同季节VOCs浓度的差异性。3个监测时段均排在浓度排名前10位的物种有6种,分别为乙醇、丙酮、对/间二甲苯、苯、二氯甲烷和甲苯,说明该监测点位存在稳定污染排放源。走航溯源监测获得空气点位及附近喷涂企业内VOCs浓度和成分特征,结果显示环境大气中的VOCs主要组分来自喷涂企业厂区使用的挥发性溶剂的排放和油性漆的挥发排放。研究臭氧生成潜势（OFP）可知,芳香烃的OFP值在3个监测时段占比最高,对臭氧生成贡献较高的物种主要有对/间二甲苯、甲苯等芳香烃,乙醇和甲基丙烯酸甲酯等含氧有机物,异戊二烯和丙烯等烯烃类物种。MCM模式结果显示：5月A时段监测期间的臭氧光化学生成速率大于9月B时段和11月C时段,O₃生成过程主要受甲基过氧自由基（CH₃O₂）+NO 和过氧化羟基自由基（HO₂）+NO 控制。相对增量反应敏感性实验结果显示：3个监测时段臭氧生成均处于VOCs控制区,5月A时段,控制异戊二烯、芳香烃类物种可以大幅减少臭氧的生成,9月B时段需主要控制芳香烃和含氧有机物的排放,11月C时段则需控制芳香烃物种的排放。就VOCs单体而言,3个监测时段减少对/间二甲苯的浓度,对臭氧生成影响较大。走航溯源耦合在线监测方法可以实现臭氧污染快速原位溯源。     

我国沙尘暴灾害及其治理对策初步研究

分析研究了沙尘暴的成因、时空分布、发展趋势及造成的灾害，结合国外经验提出了我国治理的对策建议。     

新疆室内环境污染监测和治理工作现状与建议

针对目前室内环境监测工作出现的种种问题，就如何规范的开展室内环境监测工作，更好地为社会提供真实、准确、有效的监测数据，本文提出相关的探讨。     

Disembodied and Disembedded? The Social and Economic Implications of Atmospheric Change and Biodiversity

The social and economic implications of atmospheric change on biodiversity need to be seen in a global context of major shifts in the conceptualization and management of our relationship with nature. Traditionally, we have conceptualized the atmosphere and the other creatures of the biosphere as separate from the human, but their quasi-autonomy is now becoming subject to more and more human management. This raises not only economic issues, but social, political, and ethical concerns that will have substantial influence on public policy. Among these are the commodification of genetic material; the privatization of traditional knowledge; and the management of information. In this broader context, the paper examines an array of current and proposed strategies of response to changes in biodiversity as a result of climatic and other stresses.     

Atmospheric Change and Biodiversity: Co-Networks and Networking

Canada responded to the Global Biodiversity Convention by completing the Canadian Biodiversity Strategy in 1995. At the same time, Environment Canada also completed a national Science Assessment on Biodiversity. During this period, the Smithsonian Institution, in partnership with Parks and Environment Canada, initiated the implementation of a global biodiversity monitoring program in Canada. Under the auspices of the United Nations Man and the Biosphere Program, the SI/MAB monitoring protocols and plots have spread across Canada at an unprecedented rate. National champions in the science and educational sectors, working within an inter-disciplinary ecological framework, have guided the development, education, quality control and sharing of atmosphere-biodiversity observations electronically.Atmospheric-Biodiversity Networks and Networking have traditionally operated within separate mandates with little degree of integration. Air-Bio Networks were designed within an integrated framework to better understand the atmospheric stress on biodiversity and the adaptation actions, nationally and regionally. Detailed examples of the cumulative effects of climate change, stratospheric ozone depletion, acid deposition, ground-level ozone, suspended particulate matter and hazardous air pollutants on biodiversity will be discussed using a Southern Ontario case study. In addition, recommendations will be presented for future paired SI/MAB plots, linked networks and networking for adaptation within the context of climate, chemical and ecological gradients.     

太原市冬、夏季醛酮化合物污染特征及来源分析

针对太原市空气臭氧污染较为严重的问题,开展臭氧主要前体物醛酮化合物质量浓度及其变化规律研究.利用2,4-二硝基苯肼固相吸附/高效液相色谱方法,通过对太原市2019年冬季和夏季大气的醛酮化合物进行分析,发现太原市冬季总醛酮化合物的平均质量浓度为13μg/m3,低于夏季的27μg/m3.其中甲醛、乙醛和丙酮质量浓度最高,且...     

Dissipation and residue of metalaxyl and cymoxanil in pepper and soil

A simple and accurate method of determining metalaxyl and cymoxanil in pepper and soil was developed by ultra-performance liquid chromatography–photodiode array detection. The limits of detection were 0.015 mg/kg for metalaxyl and 0.003 mg/kg for cymoxanil. The limits of quantification were 0.05 mg/kg for metalaxyl in pepper and soil as well as 0.01 mg/kg for cymoxanil in pepper and soil. Recoveries of pepper and soil were investigated at three spiking levels and ranged within 77.52 to 102.05 % for metalaxyl and 87.15 to 103.21 % for cymoxanil, with relative standard deviations below 9.30 %. For field experiments, the half-lives of metalaxyl were 3.2 to 3.9 days in pepper and 4.4 to 9.5 days in soil at the three experimental locations in China. At harvest, pepper samples were found to contain metalaxyl and cymoxanil well below the maximum residue limit MRLs of the European Union (EU) following the recommended dosage and the interval of 21 days after last application.     

Determination and study on dissipation and residue of bismerthiazol and its metabolite in Chinese cabbage and soil

A simple and accurate method for the determination of bismerthiazol and its metabolite 2-amino-5-mercapto-1,3,4-thiadiazole was developed in Chinese cabbage and soil by high-performance liquid chromatography-diode array detection in this study. The limits of detection were 0.06 mg/kg for bismerthiazol and 0.03 mg/kg for 2-amino-5-mercapto-1,3,4-thiadiazole, respectively. Recoveries of cabbage and soil were investigated at three spiking levels and were in the range of 84.0–96.0 % for bismerthiazol and 71.0–74.6 % for 2-amino-5-mercapto-1,3,4-thiadiazole, with relative standard deviations below 7.0 %. For field experiments, the half-life of bismerthiazol was 2.4–2.5 days in Chinese cabbage and 2.5–4.8 days in soil at the two experimental locations in China. Dissipation residues of 2-amino-5-mercapto-1,3,4-thiadiazole were lower than 0.72 mg/kg. Terminal residues of bismerthiazol and its metabolite were less than 3.0 and 0.3 mg/kg in Chinese cabbage, respectively. No bismerthiazol or metabolite residues were detected in soil on days 5, 7, 10, and 14 after the last spraying at the two dosage levels.     

废旧干电池的环境污染防治及回收利用

介绍了各种干电池的基本化学组成，分析了废旧干电池污染环境的主要途径及对人类的危害，并就回收利用问题提出建议。     

环境监理与环境管理的区别与联系

阐述了环境监理与环境管理的关系，指出了以制度和程序规范两者的分工与合作可充分发挥环境监理在环境管理中的作用     

Residues and dissipation of trifloxystrobin and its metabolite in tomatoes and soil

A simple residue analytical method using the quick, easy, cheap, effective, rugged, and safe (QuEChERS) procedure for the determination of trifloxystrobin and its metabolite trifloxystrobin acid (CGA321113) in tomato and soil was developed using high-performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS). The limits of detection were 0.0005 mg/kg for trifloxystrobin and 0.001 mg/kg for trifloxystrobin acid, respectively. The average recoveries in tomato and soil ranged from 73–99 % for trifloxystrobin and 75–109 % for trifloxystrobin acid, with relative standard deviations below 15 %. The method was then used to study the dissipation and residues in tomato and soil. The dissipation half-lives of trifloxystrobin in tomato were 2.9 days (Beijing) and 5.4 days (Shandong), while in soil were 1.9 days (Beijing) and 3.0 days (Shandong), respectively. The final results showed that the major residue compound was trifloxystrobin in tomato whereas it was its metabolite, trifloxystrobin acid, in soil. The final residues of total trifloxystrobin (including trifloxystrobin acid) were below the EU maximum residue limit of 0.5 mg kg^?1 in tomato 3 days after the treatment.