在线分析宁波市北仑区VOCs组成、趋势及来源

利用VOCs在线监测技术,对2010年宁波市北仑区空气内的VOCs的浓度、组成、变化规律及来源进行分析研究。结果表明,在北仑区域内的16种VOCs中,苯、甲苯、二甲苯、乙苯和己烷的比例占到了总数的82．9％,且该5种有机物浓度存在较为典型的季节性变化规律和日变化规律;采用CMD模型法对VOCs的来源进行解析后发现,北仑区域内的VOCs主要来源于汽车尾气、汽油蒸气和石油液化气,而且汽车尾气的贡献值要比一些大城市低得多,且夏季和冬季的成分源贡献率存在明显差异。     

电石法生产聚氯乙烯行业危险废物判定要点分析

聚氯乙烯树脂是用途极广的热塑性高分子材料,然而,电石法生产聚氯乙烯树脂(PVC)的过程中会产生大量的危险废物,如处置不当会对环境造成严重污染。本文对电石法生产聚氯乙烯树脂(PVC)过程中产生危险废物的类型、环节和产生特性进行了分析,以供环保部门和相关企业作为针对危险废物环境管理的判定依据。     

北京地区冬季典型PM2.5重污染案例分析

对2013年1月10—14日发生的持续性PM2.5重污染过程从污染过程演变、气象条件影响、与气态污染物关系、区域污染背景、PM2.5浓度空间分布演变及其与地面风场的关系、PM2.5组分特征等多个方面进行全面的分析,较为完整地还原了该次重污染案例的形成原因以及主要影响因素。主要结论包括:该次重污染过程是稳定气象条件下导致的局地污染物积累,再叠加华北区域性污染的影响共同造成,其中10、12日北京地区PM2.5浓度的快速增长反映了周边污染传输的显著影响;逆温不但造成污染物难以扩散,且不同的逆温类型对PM2.5浓度水平有显著影响,同时还发现逆温的破坏导致近地面高浓度污染物向上扩散,造成百花山出现峰值高污染浓度现象;NO2与PM2.5浓度水平的高相关性反映交通污染二次转化对PM2.5浓度水平的影响,在较高湿度条件下,SO2浓度水平对湿度敏感且表现为负相关性;该次污染过程中OM、SO2-4、NO-3、NH+4等组分在PM2.5质量浓度中的占比超过70%,说明燃煤、机动车等仍是北京地区最主要的污染来源,同时SO2-4占比最高也说明区域污染传输对该次重污染的显著贡献。     

济南市环境空气VOCs污染特征及来源识别

对济南市2010年6月至2012年5月环境空气中56种挥发性有机污染物(VOCs)进行在线气相色谱监测,研究其污染特征并识别其主要来源。结果表明,该期间总挥发性有机化合物(TVOCs)变化规律基本一致,其平均浓度水平夏季冬季秋季春季;TVOCs浓度的日变化趋势呈双峰分布,与早晚交通高峰相吻合;济南市城区环境空气中VOCs的主要物种是C3~C5的烷烃、丙烯、顺-2-丁烯、甲苯和间、对二甲苯等;不同季节环境空气中VOCs的主要物种基本一致,夏季烯烃所占比重高于其他季节;烷烃、烯烃与TVOCs的浓度日变化趋势相似,呈明显的双峰状,而芳香烃浓度日变化规律双峰特征不明显。济南市城区VOCs的主要来源为汽车尾气、工业源、燃烧源。     

镇江地区土壤中重金属Cu和Pb污染状况与空间分布

为了锯镇江地区土壤中重金属Cu和Ph的污染状况与空间分布,对镇江地区表层土壤中的Cu和Pb进行了采样监测。结果表明,镇江地区表层土壤中cu的含量为19．2～273mg／kg,Pb的含量为20．6～3846mg／kg。与全省土壤背景值相比,均有一定程度的富集。对cu和Pb的相互关系进行分析可得出,镇江地区土壤在一定程度上受到农业面源的污染。     

城市大气重污染事件预警机制研究

分析了中国城市大气重污染预警机制的现状和存在问题。通过对比分析,得出了适合中国国情的大气重污染事件预警等级的划分方法,并构建了合理的预警运行体系,优化了预警机制的运行流程,为政府有效应对重污染天气给出了合理的建议。     

2013年北京市PM2.5重污染日时空分布特征研究

根据2013年北京市环境保护监测中心监测的PM2.5数据,系统分析了北京市重污染日PM2.5污染的时空分布特征,并利用克里格插值初步统计了全年和重污染日PM2.5不同浓度区间的国土面积。2013年全市PM2.5年均浓度为89.5μg/m3,重污染日平均浓度为218μg/m3,重污染日主要集中在冬季;PM2.5年均浓度呈现明显的南高北低梯度分布特征,而重污染日空间分布较均匀,南部及城六区存在明显的高污染区,平均浓度在180μg/m3以上;2013年北京市重污染日PM2.5平均浓度为150~250μg/m3,其对应的国土面积约为12 656 km2,PM2.5平均浓度在250μg/m3以上的国土面积约为883 km2,而全年无PM2.5平均浓度在150μg/m3以上所对应的国土面积。     

Carbon Monoxide Concentration in a Street Canyon of Buenos Aires City (Argentina)

The analysis of three years of 8-h CO concentration values registered in a deep street canyon downtown shows high frequency of values that exceed WHO health protection guidelines. An inverse relationship between opposing percentiles of the distributions of CO concentrations and mean wind speed could be found. Data also showed a variation of mean CO values with prevailing wind direction. The averaged concentration value obtained when the sampler probe is on the leeward side is lower than the obtained when it is on the windward wall. A preliminary explanation of this feature may be related to the advection of polluted air from a high traffic density area nearby.     

Characterisation of Particulate Matter Sampled during a Study of Children's Personal Exposure to Airborne Particulate Matter in a UK Urban Environment

The personal exposure of children aged 9 – 11 years to particulate matter (PM₁₀ and PM_2.5) was carried out between January and September 1997 in the London Borough of Barnet. Personal sampling along with home, garden and classroom microenvironmental monitoring was completed for all ten children. Each child was monitored for five days during winter, spring and summer. All children completed daily time activity diaries to provide information on any potential activities that could influence their exposure to particulate matter. Each evening a household activity questionnaire was also completed by the parents. Personal Environmental Monitors were used to sample personal exposure to PM₁₀ and PM_2.5. Harvard Impactors were used for the microenvironmental sampling of both size fractions. The children's mean personal exposure concentrations for PM₁₀ during winter, spring and summer were 72, 54 and 35 µg/m³ respectively and for PM_2.5 22, 17 and 18 µg/m³ respectively. In order to determine the potential sources of particulate matter, analysis of the Teflon filters has been undertaken. The physical characteristics of the particles have been identified using Scanning Electron Microscopy. The relationships between personal exposure concentrations and the different microenvironments will be discussed.     

Measurements and Modelling of Air Pollution in a Street Canyon in Helsinki

A measuring campaign was conducted in the street canyon 'Runeberg street' in Helsinki in 1997. Hourly concentrations of carbon monoxide (CO), nitrogen oxides (NO_X), nitrogen dioxide (NO₂) and ozone (O₃) were measured at the street and roof levels, and the relevant hourly meteorological parameters were measured at the roof level. The hourly street level measurements and on-site electronic traffic counts were conducted during the whole year 1997, and roof level measurements were conducted during approximately two months, from 3 March to 30 April in 1997. The Operational Street Pollution Model (OSPM) was used to calculate the street concentrations and the results were compared with the measurements. The overall agreement between measured and predicted concentrations was good for CO and NO_x, but the model slightly overestimated the measured concentrations of NO₂. The database, which contains all measured and predicted data, is available for a further testing of other street canyon dispersion models.