成都市餐饮源大气污染物排放清单研究

为全面、准确地获得成都市餐饮源大气污染物排放清单,针对成都市社会餐饮、家庭餐饮和食堂餐饮分别选择监测对象进行细颗粒物(PM2.5)、非甲烷总烃(NMHCs)、油烟、氮氧化物(NOx)、SO2和CO 6种大气污染物排放浓度监测.分别按照用油量、就餐人次和灶头风量3种核算依据计算了6种大气污染物的排放因子,并计算成都市餐饮...     

Chemical response of transplanted lichen Canomaculina pilosa to different emission sources of air pollutants

The lichen Canomaculina pilosa was transplanted to 21 sampling sites, plus two controls sites in a north-western area of Córdoba City, Argentina. The transplantation sites were set according to traffic levels, industry condition and distances from the power plant. On the transplanted lichens chlorophyll a, chlorophyll b, phaeophytin a, soluble proteins, hydroperoxy-conjugated dienes, malondialdehyde concentration and sulphur accumulation were determined. A pollution index was calculated for each sampling site. The present study provides information about chemical parameters showing variations as the response of C. pilosa to different emission sources of air pollutants. The C. pilosa chemical response was mainly associated to industries. Significant higher values were observed in phaeophytin a/chlorophyll a ratio, sulphur content and pollution index values in lichen material transplanted at sites with industry. For the distance from the power plant category, only the hydroperoxy-conjugated dienes concentration showed significant differences. For the different traffic levels no significant variations were observed for any of the chemical parameters quantified.     

Polycyclic aromatic hydrocarbons in the ambient air of Greek towns in relation to other atmospheric pollutants

Polycyclic aromatic hydrocarbons (PAHs) were determined in the ambient air of six towns in N. Greece. This paper presents the variability of the particle-bound PAHs concentrations and the particle PAH content during the cold and the warm months. Correlations of total PAHs with other atmospheric pollutants were largely different among towns indicating that the relative contribution of emission sources is different in each location. In the warm months PAHs were significantly correlated with vehicular pollutants thus suggesting traffic as the major PAH emmitting source. The same was also deduced from the comparison of the ambient PAH profiles to the profiles of particular sources. The contribution of residential heating was significant in most towns during winter. Principal component analysis of the data did not result in a clear distinction between towns thus suggesting that all are influenced by similar source types. Finally, the risk associated with the inhallation of carcinogenic PAHs in each town was estimated and compared to the risk from more urbanized/industrialized sites in N. Greece.     

北京与伦敦空气中气态污染物的比对研究

城市空气质量问题已经引起广泛关注.通过对中英2个大城市北京与伦敦 2004 年 8 月～2005 年12 月空气中气态污染物 O3、NOx、SO2 和 CO 浓度变化的分析与对比发现:参照世界卫生组织空气质最准则、欧盟空气质量标准、美国国家空气质量标准或国家空气质量二级标准,北京O3、NO2、SO2和 CO 浓度的超标天数或时数明显高于伦敦.观测期内,北京 O3、NOx、SO2 和 CO 浓度明显高于伦敦,平均值分别是 17.9±22.1×10-9、72.4±76.1×10-9、19.5±21.8×10-9、2 004.6±1 509.8×10-9与10.8±9.9×10-9、54,6±38.9×10-9、1.8±2.2×10-9、372.3±235.0×10-9.两城市 O3 统计日变化形式均表现为白天高、夜晚低,峰值出现在午后 14:00 左右,日较差分别为 31.5±30.9×10-9与 11.1±7.7×10-9;NO、NO2、SO2 和 CO 呈双峰态日变化,峰值出现在交通的早高峰与晚高峰附近.北京 O3 最高值出现在夏季,而伦敦出现在春季;但两城市NOx、SO2 和 CO 最高值均出现在冬季.北京与伦敦的NO2与 NO 呈显著线性相关,且斜率与截距十分相似,分别是 1.25 和 1.28 与 28.1 和 23.2;同时两城市 CO/NOx 比率明显高于 SO2/NO 分别为 14.0、4.5 与 0.13、0.03.由此可以判断:对于两城市空气污染问题,交通源的贡献要远大于点源;但点源也对两城市空气质量造成影响.此外,连续逆温的天气是造成重污染事件的原因.     

嘉兴市人为源大气污染物排放清单研究

建立了2017年嘉兴市人为源大气污染物排放清单。结果发现,SO_2、NO_x、CO、挥发性有机物(VOCs)、NH_3、总悬浮颗粒物(TSP)、PM_(10)、PM_(2.5)、黑碳(BC)和有机碳(OC)排放总量分别为15 224、60 663、102 600、93 256、26 266、118 923、70 367、19 024、941、1 622t。SO_2的最大排放源是化石燃料固定燃烧源中的电力供热;NO_x的最大排放源是移动源中的柴油车;CO的最大排放源是移动源中的汽油车;VOCs的最大排放源是工艺过程源中的石油化工;NH_3的最大排放源是农业源中的氮肥施用;TSP的最大排放源是扬尘源中的道路扬尘;PM_(10)和PM_(2.5)的最大排放源是工艺过程源中的水泥生产;BC的最大排放源是移动源中的柴油车;OC的最大排放源是餐饮油烟源中的餐饮油烟。对于大气污染中普遍关注的6种污染物,SO_2、NO_x、PM_(10)、PM_(2.5)和VOCs排放的重点源主要集中在各县(市、区)的工业园区或工业集聚区,而NH_3的排放空间分布相对比较分散。     

Perfluorinated chemicals in relation to other persistent organic pollutants in human blood

In order to evaluate blood levels of some perfluorinated chemicals (PFCs) and compare them to current levels of classical persistent organic pollutants (POPs) whole blood samples from Sweden were analyzed with respect to 12 PFCs, 37 polychlorinated biphenyls (PCBs), p,p'-dichlorodiphenyl-dichloroethylene (DDE), hexachlorobenzene (HCB), six chlordanes and three polybrominated diphenyl ethers (PBDEs). The median concentration, on whole blood basis, of the sum of PFCs was 20-50 times higher compared to the sum of PCBs and p,p'-DDE, 300-450 times higher than HCB, sum of chlordanes and sum of PBDEs. Estimations of the total body amount of PFCs and lipophilic POPs point at similar body burdens. While levels of for example PCBs and PBDEs are normalized to the lipid content of blood, there is no such general procedure for PFCs in blood. The distributions of a number of perfluorinated compounds between whole blood and plasma were therefore studied. Plasma concentrations were higher than whole blood concentrations for four perfluoroalkylated acids with plasma/whole blood ratios between 1.1 and 1.4, whereas the ratio for perflurooctanesulfonamide (PFOSA) was considerably lower (0.2). This suggests that the comparison of levels of PFCs determined in plasma with levels determined in whole blood should be made with caution. We also conclude that Swedish residents are exposed to a large number of PFCs to the same extent as in USA, Japan, Colombia and the few other countries from which data is available today.     

The co-occurrence of potentially phytotoxic concentrations of various gaseous air pollutants

Studies on impacts of air pollutants on vegetation have focused primarily on individual pollutants: ozone, sulfur dioxide and nitrogen dioxide. The impacts of pollutant combinations have not been extensively studied and there has been no concerted effort to ensure that experimental regimes for combined pollutant exposures are representative of ambient pollutant concentration, frequency, duration and time intervals between events. Most studies concerning the impact of pollutant combinations on vegetation have used concentrations of 0.05 ppm and greater. Therefore, co-occurrence was defined as the simultaneous occurrence of hourly averaged concentrations of 0.05 ppm or greater for pollutant pairs (SO₂/NO₂, O₃/SO₂, or O₃/NO₂). Air quality information from three data bases (EPA-SAROAD, EPRI-SURE and TVA) was analyzed to determine the frequency of co-occurrence for pollutant pairs. Ambient air quality data representing a diverse range of monitoring sites (e.g. rural, remote, city center, urban, near urban, etc.) were used in the analysis. Results showed that at most sites (1) the co-occurrence of two-pollutant mixtures lasted only a few hours per episode, (2) the time interval between episodes was generally large (weeks, sometimes months) and (3) most studies have used more intense exposure regimes than occurred at most monitored sites. When designing vegetation experiments for assessing pollutant mixture effects, it may be desirable to give greater emphasis to sequential patterns of exposure. It is suggested that future work is required before a reliable estimate can be made of the environmental significance of pollutant mixtures on vegetation.     

a rapid emission survey procedure for industrial air pollutants

A methodology has been developed to calculate industrial air pollutant emissions with an absolute minimum of effort. The procedure is dependent upon available industrial fuel data for Standard Industrial Classifications for Standard Metropolitan Statistical Areas as published by the Census of Manufacturers. Emission factors were developed which include both combustion and process losses and six SIC classifications which consume, on the average, about 80 per cent of the industrial fuels in urban areas. In spite of the diversity of industrial processes which dictate the weight of emissions discharged from industrial operation, factors have been developed which are considered representative for urban areas across the nation. The development of such factors permits the calculation of industrial emissions with a minimum of man-hours. The developed procedure allows the calculation of industrial emissions on an urban basis, a state basis, or a nation basis.     

Codependencies of reactive air toxic and criteria pollutants on emission reductions

It is important to understand the effects of emission controls on concentrations of ozone, fine particulate matter (PM2.5), and hazardous air pollutants (HAPs) simultaneously, to evaluate the full range of health, ecosystem, and economic effects. Until recently, the capability to simultaneously evaluate interrelated atmospheric pollutants ("one atmosphere" analysis) was unavailable to air quality managers. In this work, we use an air quality model to examine the potential effect of three emission reductions on concentrations of ozone, PM2.5, and four important HAPs (formaldehyde, acetaldehyde, acrolein, and benzene) over a domain centered on Philadelphia for 12-day episodes in July and January 2001. Although NO(x) controls are predicted to benefit PM2.5 concentrations and sometimes benefit ozone, they have only a small effect on formaldehyde, slightly increase acetaldehyde and acrolein, and have no effect on benzene in the July episode. Concentrations of all pollutants except benzene increase slightly with NO(x) controls in the January simulation. Volatile organic compound controls alone are found to have a small effect on ozone and PM2.5, a less than linear effect on decreasing aldehydes, and an approximately linear effect on acrolein and benzene in summer, but a slightly larger than linear effect on aldehydes and acrolein in winter. These simulations indicate the difficulty in assessing how toxic air pollutants might respond to emission reductions aimed at decreasing criteria pollutants such as ozone and PM2.5.     

Limits to costing the chronic health effects of sulphur components and other air pollutants

Attempts to cost the effects on health of a variety of outdoor air pollutants have depended on epidemiological data. The difficulties and limitations of the data and the costing procedures are discussed and illustrated.     

Models and statistical methods for gaseous emission testing of finite sources in well-mixed chambers

Two families of mathematical models are proposed to represent either the concentration of a gaseous emission in or the accumulated amount exiting from a well-mixed, environmentally controlled test chamber. A thin film model, which seems applicable to such sources as carpet adhesive, etc., has the capability of isolating the true emission rate constant from chamber effects. It has successfully modeled emissions of methyl ethyl ketone, a C₈ alcohol, and butyl propionate from latex caulk. Chamber effects in the form of temporary wall retention were identified for the latter two compounds. An analogous, deep source, diffusionlimited model for plywood, etc., once fitted to a data set, can be used to generalize to other combinations of source surface area, chamber volume, and air exchange rate.     

天津市大气能见度与空气污染物关系分析及控制措施

利用天津市1990—2004年大气能见度观测资料及天津市2002—2004年空气污染物监测数据,统计分析了天津市大气能见度变化特征及其与空气污染物的关系。结果表明,天津市20世纪90年代大气能见度处于波动下降趋势,2000—2003年大气能见度整体水平有所改善,到2004年空气质量迅速提高。统计数据说明,在非采暖季的春季,天津市大气能见度的下降与PM10浓度有较大相关性;在夏季,与相对湿度有较大相关性;在采暖季(冬季),与SO2和NOX等空气污染物浓度有密切关系。同时,提出改善城市大气能见度的4个措施:(1)制定长期的大气能见度控制策略;(2)合理改善能源结构;(3)加强城市裸露土地的治理;(4)城市交通采用清洁能源。     

Roadside particulate air pollution in Bangkok

Airborne fine particles of PM(2.5-10) and PM2.5 in Bangkok, Nonthaburi, and Ayutthaya were measured from December 22, 1998, to March 26, 1999, and from November 30, 1999, to December 2, 1999. Almost all the PM10 values in the high-polluted (H) area exceeded the Thailand National Ambient Air Quality Standards (NAAQS) of 120 microg/m3. The low-polluted (L) area showed low PM10 (34-74 microg/m3 in the daytime and 54-89 microg/m3 at night). PM2.5 in the H area varied between 82 and 143 microg/m3 in the daytime and between 45 and 146 microg/m3 at night. In the L area, PM2.5 was quite low both day and night and varied between 24 and 54 microg/m3, lower than the U.S. Environmental Protection Agency (EPA) standard (65 microg/m3). The personal exposure results showed a significantly higher proportion of PM2.5 to PM10 in the H area than in the L area (H = 0.80 +/- 0.08 and L = 0.65 +/- 0.04). Roadside PM10 was measured simultaneously with the Thailand Pollution Control Department (PCD) monitoring station at the same site and at the intersections where police work. The result from dual simultaneous measurements of PM10 showed a good correlation (correlation coefficient: r = 0.93); however, PM levels near the roadside at the intersections were higher than the concentrations at the monitoring station. The relationship between ambient PM level and actual personal exposures was examined. Correlation coefficients between the general ambient outdoors and personal exposure levels were 0.92 for both PM2.5 and PM10. Bangkok air quality data for 1997-2000, including 24-hr average PM10, NO2, SO2, and O3 from eight PCD monitoring stations, were analyzed and validated. The annual arithmetic mean PM10 of the PCD data at the roadside monitoring stations for the last 3 years decreased from 130 to 73 microg/m3, whereas the corresponding levels at the general monitoring stations decreased from 90 to 49 microg/m3. The proportion of days when the level of the 24-hr average PM10 exceeded the NAAQS was between 13 and 26% at roadside stations. PCD data showed PM10 was well correlated with NO2 but not with SO2, suggesting that automobile exhaust is the main source of the particulate air pollution. The results obtained from the simultaneous measurement of PM2.5 and PM10 indicate the potential environmental health hazard of fine particles. In conclusion, Bangkok traffic police were exposed to high levels of automobile-derived particulate air pollution.     

Identification of stationary sources of air pollutants by concentration statistical analysis

The atmospheric concentrations of benzene, toluene, ethylbenzene and isomeric xylenes (BTEX) in a medium-sized town (S. Maria Capua Vetere, about 32000 inhabitants, Southern Italy) have been determined during working days and weekends in 2006. The procedure used was 24h passive adsorption by samplers distributed throughout the town followed by GC/MS analysis. On a yearly base, the arithmetic mean benzene concentrations were above the limit required by the 2000/69/CE European Directive. The Pearson correlation coefficients of the 24h geometric mean BTEX concentrations were indicative of stationary sources of toluene located in a well circumscribed area of the urban territory, active only during the working days and not officially recognized. The results highlight the effectiveness of the statistical approach used in this study for the identification of pollutant sources.