重量法测定空气中PM10的不确定度评定研究

根据重量法测定空气中PM10的测量方法原理,建立数学模型,从样品现场采样与实验室测试相结合引入各不确定度分量,分析并评定用重量法测定空气中PM10的不确定度,确定合成不确定和扩展不确定度.从各不确定度分量大小,最终确定测量不确定度影响因素并加以有效控制及改进,改善测量方法和手段,从而为空气中PM10浓度测定提高检测数据准确性,提供科学检测依据.     

2013年1月邯郸市严重霾天气的污染特征分析

利用河北工程大学大气环境监测站点的PM₁₀、PM_2.5、SO₂和NO_x在线监测数据,并结合能见度、湿度数据,对邯郸市2012年12月1日到2013年1月31日的大气污染状况进行分析,特别是2013年1月持续发生的霾天气,以探讨严重霾污染的过程特征.结果表明,2013年1月,SO₂与NO_x的平均浓度分别为225.3 μg·m^-3和217.8 μg·m^-3,PM₁₀和PM_2.5的平均浓度分别为328.5 μg·m^-3和229.4 μg·m^-3,均超过新颁布的环境空气质量标准,是2012年12月平均浓度的1.4~3.5倍.重污染过程分析结果显示,污染峰值附近几天内PM₁₀、PM_2.5的时均浓度变化无明显规律.累积阶段的PM_2.5/PM₁₀在0.42~0.52之间,峰值前后上升并超过0.70,扩散阶段PM_2.5/PM₁₀降到0.70以下,且呈波动式变化.当PM_2.5/PM₁₀小于0.40时,能见度基本位于2~18 km之间;当PM_2.5/PM₁₀在0.40~0.60之间时,能见度在0.7~8 km之间;当PM_2.5/PM₁₀大于0.60时,能见度分布于2 km以下.     

南充市大气PM10污染水平的分布特征

本文对南充市环境监测站2002年城区5个监测点的PM10监测资料进行了分析。结果发现南充市大气污染物PM10污染严重，并存在明显的空间和季节差异。嘉陵环保局测点污染最严重，西南石油学院和炼油厂测点污染相对较轻；冬季污染最严重，夏季污染程度最小。最后，结合其他相关资料，对造成上述状况的原因作了探讨。     

On the horizontal homogeneity of mass-related aerosol properties

We studied the mass-related aerosol properties, simultaneously attwo sites at the urban roof top level in the same city. Nosystematic influence of the wind vector on the difference in theaerosol concentrations between the two locations could be found.These results are compared with results from a second, similarexperiment over a larger distance including one urban and onerural site. Surprisingly, we could not detect a tendency whichwould indicate that sampling air at distance in the order of 1 kmwould be less affected by the heterogeneity than samplingdistanced in the order of 10 km apart. On the contrary, theresults suggest that mass-related properties at two sites in thesame city are not necessarily more similar than at an urban and arural site outside the city. These results stress the limitedhorizontal homogeneity of urban atmospheric aerosol. As aconclusion it is suggested that single-site measurements of mass-related aerosol properties should be considered to berepresentative for an area smaller than 1 km² on size.     

Levels and Trend of Suspended Particles around Large Lignite Power Stations

The results of a 16 year long sampling program in a heavily industrialized area of NW Greece are presented and analyzed. Fourlignite power stations are operated in this area, which account forabout 70% of the total electrical energy produced in Greece.Ambient concentrations of Total Suspended Particles (TSP) over much of the period 1983–1998 as well as of particles of less than10 m aerodynamic diameter (PM₁₀) for three years were measured. Emphasis is given on the assessment of the levels of the daily average concentrations for the data period as well asthe determination of the spatial and temporal variation of suspended particle concentrations. Based on the data analysis, useful information is provided about air quality levels after taking into account air quality standards. The interannual concentrations trend is also investigated and an attempt is madeto examine the effectiveness of antipolluting procedures, which have occasionally been implemented in this industrial area. Finally the results are compared to those in the literature.     

Comparison of PM2.5 and PM10 in A Suburban Area in Korea During April, 2003

Airborne particulate matter (PM) concentrations were measured in Iksan, a suburban area in South Korea during April, 2003. PM_2.5 (particles with an aerodynamic diameter less than 2.5 μm) and PM₁₀ (particles with an aerodynamic diameter less than 10 μm) samples were collected, and the chemical characteristics of particles were examined for diurnal patterns, yellow dust/rainfall influences, and scavenging effects. Average concentrations of PM_2.5 and PM₁₀ mass measured were 37.3 ± 16.2 μg m⁻³ and 60.8 ± 29.5 μg m⁻³, respectively. The sum of ionic chemical species concentrations for PM_2.5 and PM₁₀ was 16.9 ± 7.3 and 23.1 ± 10.1 μg/m³, respectively. A significant reduction in PM mass concentrations during rainfall days was observed for coarse mode (PM_{2.5 − 10}) particles, but less reduction was found for fine (PM_2.5) mass concentration. SO₄ ²⁻, NH₄ ⁺, and K⁺ predominated in fine particulate mode, NO₃ ⁻ and Cl⁻ predominated in fine particle mode and coarse particle mode, but Na⁺, Mg²⁺, and Ca²⁺ mostly existed in coarse mode. The high concentration of ammonium due to local emissions and long-range transport neutralized sulfate and nitrate to ammonium sulfate and ammonium nitrate, which were major forms of airborne PM in Iksan. Average mass concentrations of PM₁₀ in daytime and at night were 57.6 and 70.0 μg m⁻³, and those of PM_2.5 were 35.4 and 42.5 μg m⁻³, respectively. NO₃ ⁻ and Cl⁻ in both PM_2.5 and PM₁₀ were about double at night than in the daytime, while the rest of the chemical species were equal or a little higher at night than in the daytime. The results suggest the formation of ammonium nitrate and chloride when high ammonia concentration and low air temperature are allowed. Backward air trajectory analyses showed that air masses arriving at the site during yellow dust period were transported from arid Chinese regions, which resulted in high concentrations of airborne PM mass concentrations. In the meantime, air mass trajectories during a rainfall period were mostly from the Pacific Ocean or the East China Sea, along with a relatively low PM concentration.     

The Relative Influences of Primary and Secondary Particulates to Urban Air Quality in the United Kingdom

This study uses a combination of data from U.K. monitoringstations and from modelling undertaken with the U.K.Meteorological Office's NAME Model to investigate therelative influences of primary and secondary particulateson total PM₁₀ levels at sites in the United Kingdom. Co-located PM₁₀ and sulphate aerosol measurementsindicate that sulphate has a disproportionately largeinfluence on the variation of PM₁₀ levels incomparison to its contribution to their total mass.Comparisons of measured PM₁₀ at urban centre, roadsideand rural sites suggest that local primary sources havevery little influence on daily mean levels. NAME has beenused to model both primary particles and sulphate aerosolfrom sources across the whole of Europe. The discrepanciesbetween modelled and observed PM₁₀ suggest that coarseparticles, such as windblown dust and resuspended roaddust,may comprise a very large, if not dominant, proportion ofobserved PM₁₀ levels. The apparently minor role ofprimary particles (especially locally-sourced ones) raisesa number of issues regarding the suitability of current U.K.and European legislation to addressing the particle problem.     

β射线衰减法与微量振荡天平法测定PM 10的比较

对现场监测环境空气中PM10 的两种测定方法—β射线衰减法和微量振荡天平法的测量作了对比实验。实验表明 ,两种测定方法的结果具有一致性、相关性和可比性 ,能用回归直线方程来描述两者之间的关系。β射线衰减法的测定结果平均高于微量振荡天平法 15 8% ,它们之间平均偏差为 7 5 %。微量振荡天平法在现场测定中受干扰物和不确定因素的影响较少 ,其测量准确性优于 β射线衰减法。两种监测仪的运行费用大致相同 ,维护量和故障率均 较低     

2018年长三角一次持续重污染过程分析

利用常州市6个环境空气质量评价点PM_2.5、PM₁₀、SO₂、NO₂、CO和水溶性离子数据,结合后向轨迹、激光雷达探空资料、气象资料等,分析了2018年1月29日—2月2日长三角区域一次持续重污染过程。结果表明,重度污染时次高达94 h,PM_2.5最高值达235 μg/m³,由外来输送污染物与本地排放的污染物叠加而成,在不利气象条件影响下,污染物在长三角区域长时间滞留;重污染期间,污染物日变化规律显示,PM_2.5受外来源影响更显著,而SO₂、NO₂受本地污染源影响更显著,水溶性粒子组分与常州市本地源存在较大差异,其中NO₃^-、NH₄⁺、K⁺、Mg²⁺和SO₄^2-值增加最为明显,较污染前分别增加了9.1,5.9,4.3,4.2和4.1倍;K⁺值升高较快,说明污染期间也受到了生物质燃烧的影响。此外,NO₃^-和SO₄^2-在空气质量较好时,在水溶性离子中的占比日变化幅度较大,而在重污染期间,NO₃^-和SO₄^2-日变化幅度明显减小。