Main particulate matter components in Saxony (Germany)

Aerosol filter samples have been collected nearby the industrialised basin of Leipzig in Saxony (Germany) at the research station Melpitz of the Institut für Troposphärenforschung e.V. (IfT). Time series (1992–1998) and a three year comparison (1995–1997) of two different aerosol filter sampling systems, the Sierra-Andersen-PM 10 high volume sampler (daily sample, PM 10 inlet) and the Rupprecht and Patashnik Co. Inc. Model Partisol 2000 (weekly sample, PM 10 and PM 2.5 inlet) are presented and discussed. The comparison of the different sampling systems and strategies yields small differences between the daily and weekly samples for mass and different ions, which may be influenced by sampling duration and flow rates. A general trend of change in aerosol composition was observed: Soot and Sulphate concentrations decreased whereas Nitrate and Ammonium concentrations increased. During summers the mass of coarse particles is higher than in other seasons. One reason could be found in the occurence of longer periods of dry ground surfaces enabling reemission of crustal and biological material. The time series have been integrated in a longer historical aerosol mass trend for Saxony and do show a good agreement. Since 1990 a significant downward trend in gravimetric mass concentration was found.     

A review of biomarker compounds as source indicators and tracers for air pollution

An overview of the application of organic geochemistry to the analysis of organic matter on aerosol particles is presented here. This organic matter is analyzed as solvent extractable bitumen/ lipids by gas chromatography-mass spectrometry. The organic geochemical approach assesses the origin, the environmental history and the nature of secondary products of organic matter by using the data derived from specific molecular analyses. Evaluations of production and fluxes, with cross-correlations can thus be made by the application of the same separation and analytical procedures to samples from point source emissions and the ambient atmosphere. This will be illustrated here with typical examples from the ambient atmosphere (aerosol particles) and from emissions of biomass burning (smoke). Organic matter in aerosols is derived from two major sources and is admixed depending on the geographic relief of the air shed. These sources are biogenic detritus (e.g., plant wax, microbes, etc.) and anthropogenic particle emissions (e.g., oils, soot, synthetics, etc.). Both biogenic detritus and some of the anthropogenic particle emissions contain organic materials which have unique and distinguishable compound distribution patterns (C₁₄-C₄₀). Microbial and vascular plant lipids are the dominant biogenic residues and petroleum hydrocarbons, with lesser amounts of the pyrogenic polynuclear aromatic hydrocarbons (PAH) and synthetics (e.g., chlorinated compounds), are the major anthropogenic residues. Biomass combustion is another important primary source of particles injected into the global atmosphere. It contributes many trace substances which are reactants in atmospheric chemistry and soot paniculate matter with adsorbed biomarker compounds, most of which are unknown chemical structures. The injection of natural product organic compounds into smoke occurs primarily by direct volatilization/steam stripping and by thermal alteration based on combustion temperature. Although the molecular composition of organic matter in smoke particles is highly variable, the molecular tracers are generally still source specific. Retene has been utilized as a tracer for conifer smoke in urban aerosols, but is not always detectable. Dehydroabietic acid is generally more concentrated in the atmosphere from the same emission sources. Degradation products from biopolymers (e.g., levoglucosan from cellulose) are also excellent tracers. An overview of the biomarker compositions of biomass smoke types is presented here. Defining additional tracers of thermally-altered and directly-emitted natural products in smoke aids the assessment of the organic matter type and input from biomass combustion to aerosols. The precursor to product approach of compound characterization by organic geochemistry can be applied successfully to provide tracers for studying the chemistry and dispersion of ambient aerosols and smoke plumes. Presented at the 6th FECS Conference on Chemistry and the Environment, Atmospheric Chemistry and Air Pollution, August 26–28, 1998, Copenhagen.     

Trends of air pollution in the Fichtelgebirge Mountains, Bavaria

We analyzed 13 years of hourly measurements of SO₂, NO_x, and O₃, at forest ecosystem research sites in SE Germany. A quasi-continuous data record was obtained by combining data sets from two locations. Before interpreting trends in the combined data set, we analyzed if the change of location introduced a systematic bias. We employed autocorrelation functions, Hurst statistics, complexity analysis, and recurrence quantification and found that the partial data sets exhibited no indication of the presence of any bias. For SO₂, we also compared the data from the forest sites with data obtained in nearby cities and also found no indications for any systematic effects. Applying nonparametric trend statistics we found a significant decrease of the SO₂. Most of the observed decrease is due to the reductions of SO₂ emissions in eastern Germany, but reductions in western Germany and the Czech Republic also played important roles. For O₃, we observed a significant increase, the causes of which are unclear from our data alone. No trend was identified for NO_x.     

北京市大气细颗粒物对Balb/c 3T3细胞周期的影响

研究了北京市大气细颗粒物有机提取物 (EOC)对Balb c 3T3细胞周期及调节因子的影响 .实验发现 116 μg mL细颗粒物EOC即有明显的细胞毒性 ,抑制细胞生长 ,并存在剂量 反应关系 ,IC50 为 4 0 2 2 μg mL ;流式细胞仪分析显示 136 6 μg mLPM2 5EOC可造成细胞周期改变 ,G0 G1期、G2 M期细胞分布增加 ,分别为 16 2 4 % (P <0 0 1)与 3 17% (P <0 0 5 ) ,S期细胞分布减少 2 0 4 % (P <0 0 1) ,并伴有P5 3含量的增加 ;4 0 9 8、4 78 1μg mL的PM2 5EOC可诱导Balb c3T3细胞凋亡 .提示PM2 5有机提取物可能通过P5 3途径引起Balb c 3T3细胞周期阻滞 ,并诱导细胞凋亡 .     

A new prediction method of industrial atmospheric pollutant emission intensity based on pollutant emission standard quantification

● Established a quantification method of pollutant emission standard. ● Predicted the SO₂ emission intensity of single coking enterprises in China. ● Evaluated the influence of pollutant discharge standard on prediction accuracy. ● Analyzed the SO₂ emissions of Chinese provincial and municipal coking enterprises. Industrial emissions are the main source of atmospheric pollutants in China. Accurate and reasonable prediction of the emission of atmospheric pollutants from single enterprise can determine the exact source of atmospheric pollutants and control atmospheric pollution precisely. Based on China’s coking enterprises in 2020, we proposed a quantitative method for pollutant emission standards and introduced the quantification results of pollutant emission standards (QRPES) into the construction of support vector regression (SVR) and random forest regression (RFR) prediction methods for SO₂ emission of coking enterprises in China. The results show that, affected by the types of coke ovens and regions, China’s current coking enterprises have implemented a total of 21 emission standards, with marked differences. After adding QRPES, it was found that the root mean squared error (RMSE) of SVR and RFR decreased from 0.055 kt/a and 0.059 kt/a to 0.045 kt/a and 0.039 kt/a, and theR² increased from 0.890 and 0.881 to 0.926 and 0.945, respectively. This shows that the QRPES can greatly improve the prediction accuracy, and the SO₂ emissions of each enterprise are highly correlated with the strictness of standards. The predicted result shows that 45% of SO₂ emissions from Chinese coking enterprises are concentrated in Shanxi, Shaanxi and Hebei provinces in central China. The method created in this paper fills in the blank of forecasting method of air pollutant emission intensity of single enterprise and is of great help to the accurate control of air pollutants.     

城市区域土壤铅含量空间变异的多尺度研究进展

我国城市土壤仍存在Pb的严重富集,准确地评价土壤Pb污染水平和范围是进行科学的土壤Pb污染风险评估和管理的基础.城市土壤Pb含量的空间变异性强且结构复杂,现有的大多数研究在单一空间尺度上开展,不足以全面揭示空间结构特征,不利于促进更加科学的风险评估和管理.因此,探寻一种能够全面揭示城市土壤Pb含量的空间结构信息的方法尤为重要.为了实现这一目的,本文首先分析了造成城市土壤Pb含量高空间变异性的主要因素:污染源的多样性、污染过程的层次性,以及城市景观的异质性.在此基础上归纳出城市土壤Pb含量的空间变异特征——由3个空间层次嵌套而成的等级结构.在此概念性的空间结构之上提出一个基于地统计学理论、以线性混合效应模型为核心的方法框架,可以将城市土壤Pb含量的空间结构划分为3个层次:全局趋势、具有空间自相关的随机变异以及异常高值点.最后,提出完善城市土壤Pb含量空间变异多尺度研究的重点是:探讨更加高效的空间抽样策略;确定特征尺度.     

哈大绥城市“十三五”期间大气环境容量分析

根据2016—2020年哈尔滨市、大庆市、绥化市(以下称哈大绥)国控环境空气自动监测站的SO₂、NO₂、PM_2.5监测资料,统计年鉴中行政区划、污染物排放及气象等监测数据,分析哈大绥区域环境空气质量的变化趋势和测算因子,采用A值法核定了哈大绥区域SO₂、NO₂、PM_2.5的大气环境容量。结果表明:哈大绥SO₂、NO₂、PM_2.5 3项污染物采暖季的大气环境容量均呈逐年递增趋势。通过计算环境承载能力发现,哈大绥SO₂、NO₂、PM_2.5 3项污染物在非采暖季均具有高承载能力,哈大绥非采暖季环境容量高于采暖季。哈尔滨的个别污染物仍然处于临界超载状态,为减少重污染天气,应进一步削减采暖季污染物排放量。     

基于区域环境空气质量和碳排放数据的减污降碳协同效果评估

化石燃料燃烧产生的温室气体与大气污染物具有同根同源性,但具体治理中减污降碳的协同效果尚不明确。以浙江省11个设区市为研究样本,对环境空气质量和二氧化碳(CO₂)排放数据进行分析研究,结果显示：2016—2020年浙江省环境空气质量持续改善,但CO₂排放总量仍处于增长阶段。11个设区城市PM_2.5年均浓度降幅在26%～41%之间,二氧化氮(NO₂)年均浓度下降趋势不明显,大部分城市呈现碳排放增加、NO₂浓度下降的特征,只有杭州和温州两市呈现碳排放总量和NO₂、PM_2.5浓度协同下降的趋势。因子相关性分析结果表明,各设区市呈现NO₂浓度与碳排放相关性较大、协同性强,PM_2.5浓度与碳排放相关性较小的特点。进一步通过减污降碳协同定量评价分析表明,浙江地区在环境空气质量改善和温室气体减排已表现出一定成效,但各设区市因产业结构、环境基础条件、协同程度等不同导致减污降碳综合绩效有明显差异。从源头减排实现...     

城市空气质量达标规划编制中的关键技术及其案例应用

本文结合重庆市空气质量限期达标规划编制案例,介绍了城市空气质量达标规划编制中的几个关键技术及其具体应用,包括本地化污染源排放清单编制、污染物来源解析、污染物排放形势预测与减排潜力分析以及大气环境容量核算等。本地化污染源排放清单是城市空气质量达标规划编制的基础,针对现有污染源制定科学合理的减排方案是达标规划的核心内容。分析不同区域的污染物组分浓度特征、污染源贡献以及未来污染排放形势预测,有助于识别出制约未来空气质量达标的关键因素及污染源。基于污染源减排潜力和污染传输矩阵制定的污染源减排方案更具合理性和可行性,应用空气质量模型估算大气环境容量可为规划目标可达性提供依据。     

雷达吸波涂层海洋大气环境适用性试验研究

目的 分析一种雷达吸波隐身涂层在海洋大气自然环境下性能的变化规律。方法 对12个月不同阶段涂层的常规物理性能和电性能进行检测,其中常规物理性能包括宏观形貌、金相形貌、微观性能、附着力、抗冲击强度和红外光谱。结果 从宏观形貌看,涂层明度和色差值呈上升趋势,12个月明度增加1.22,色差值增加2.91,颜色向绿色和蓝色发展,失光率先增大、后减小,最大失光率为9个月时的34%。涂层附着力和试验时间呈现非线性关系,6个月时,附着力降低了18%,12个月时增大了24%。涂层在2～18GHz的频率范围内,吸波曲线大体呈“U”形,最低反射率随时间向低频方向偏移。涂层金相形貌、微观性能、抗冲击强度和红外光谱特征总体变化不明显。结论 在1a内,自然海洋大气环境对雷达吸波隐身涂层常规物理性能和电性能产生了一定影响,但在试验时间相对较短情况下,海洋大气环境对涂层老化的影响作用尚未充分显示,需要结合更长周期的试验数据进一步分析。