典型胶合板制造企业VOCs排放特征

通过苏玛罐采样和GC-MS/FID分析系统,测定了山东地区典型胶合板制造企业的VOCs排放特征.结果表明,烷烃（13.81%~39.16%）、含氧VOCs（5.68%~36.06%）和芳香烃（3.58%~48.12%）是热压和涂胶工艺主要排放成分,废气排口以含氧VOCs（6.49%~83.88%）排放为主,不同工艺环节的特征VOCs组分各有不同;烯炔烃（27.12%~39.38%）和芳香烃（32.47%~45.63%）是热压工艺和涂胶工艺的高OFP组分,废气排口则以含氧VOCs（52.82%）对O₃生成贡献最大;基于SOAP评估,各环节均以芳香烃类化合物（97.08%~98.03%）为主要活性组分;测得山东地区胶合板制造行业VOCs排放因子为0.89g VOCs/m³胶合板.     

Baosteel emission control significantly benefited air quality in Shanghai

As the largest iron and steel producer in China, a part of Baosteel moved out of Shanghai deserves close attention due to its environmental impact. To understand the effect of Baosteel emission control on air quality in Shanghai, daily PM_(10), PM_(2.5), SO_2, NO_2 and CO were measured from 2010 to 2016. Concentrations of pollutants in Baoshan District presented a decreased trend during 2010–2016, with a reduction rate of 28.6% for PM_(10), 67.3% for SO_2, 8.6% for NO_2 and 42.0% for CO. However, fine particle pollution in Baoshan District during 2012–2016 seems to become more prominent, with PM_(2.5) concentration of 47 ± 28,45 ± 33, 38 ± 24, 54 ± 41 and 51 ± 34 μg/m3, respectively, indicating a slight increase of 8.5%in PM_(2.5). Concentrations of PM_(10) and CO decreased by 12.5% and 33.8% in the second half year in 2016(compared with that in 2015) probably due to closure of blast furnace of Baosteel. Baosteel was identified as the largest pollution source in Baoshan District.Emission from Baosteel accounted for 58.0% of SO_2, 43.6% of NO_2 and 79.3% of dust in total emission from Baoshan District during 2010–2015. Meanwhile, pollutant emission and coal consumption from Baosteel decreased by 52.0% for SO_2, 40.1% for NO_2, 15.7% for dust and22% for coal consumption. Energy consumption in Baoshan District reduced by 31% from2011 to 2015. Air quality improvement in Shanghai was attributed to local emission reduction, together with regional air quality improvement.     

Characterization of aircraft emissions and air quality impacts of an international airport

Beijing Capital International Airport(ZBAA) is the world's second busiest airport. In this study, the emissions of air pollutants from aircraft and other sources at ZBAA in 2015 were estimated using an improved method, which considered the mixing layer height calculated based on aircraft meteorological data relay(AMDAR), instead of using the height(915 m)recommended by ICAO. The yearly emissions of NO_x, CO, VOCs, SO_2, and PM_(2.5) at the airport were 8.76 × 10~3, 4.43 × 10~3, 5.43 × 10~2, 4.80 × 10~2, and 1.49 × 10~2 ton/year, respectively. The spatial–temporal distribution of aircraft emissions was systematically analyzed to understand the emission characteristics of aircraft. The results indicated that NOxwas mainly emitted during the take-off and climb phases, accounting for 20.5% and 55.5% of the total emissions. CO and HC were mainly emitted during the taxi phase, accounting for 91.6%and 92.2% of the total emissions. Because the mixing layer height was high in summer, the emissions of aircraft were at the highest level throughout the year. Based on the detailed emissions inventory, four seasons simulation using WRF-CMAQ model was performed over the domain surrounding the airport. The results indicated that the contribution to PM_(2.5) was relatively high in winter; the average impact was about 1.15 μg/m~3 within a radius of1 km around the airport. Meanwhile, the near surroundings and southwest areas of the airport are the most sensitive to PM_(2.5).     

基于模糊聚类的PM_(2.5)拟合组分选择模型的研究

提出了一种新的PM2.5源成分谱拟合组分选择模型,在充分考虑拟合过程的物理意义的基础上,采用聚类正确率作为组分选择的依据.实验验证,该模型能够准确获取较好的拟合主组分,相比与经验选或者手动盲选所得拟合结果,我们提出的模型将成功拟合(误差范围在0~0.05之间)的比例由40%提升到83%.     

Characteristics of particulate-bound polycyclic aromatic hydrocarbons emitted from industrial grade biomass boilers

Polycyclic aromatic hydrocarbons(PAHs) are carcinogenic or mutagenic and are important toxic pollutants in the flue gas of boilers. Two industrial grade biomass boilers were selected to investigate the characteristics of particulate-bound PAHs: one biomass boiler retro-fitted from an oil boiler(BB1) and one specially designed(BB2) biomass boiler. One coal-fired boiler was also selected for comparison. By using a dilution tunnel system, particulate samples from boilers were collected and 10 PAH species were analyzed by gas chromatography–mass spectrometry(GC–MS). The total emission factors(EFs) of PAHs ranged from 0.0064 to0.0380 mg/kg, with an average of 0.0225 mg/kg, for the biomass boiler emission samples. The total PAH EFs for the tested coal-fired boiler were 1.8 times lower than the average value of the biomass boilers. The PAH diagnostic ratios for wood pellets and straw pellets were similar.The ratio of indeno(1,2,3-cd)pyrene/[indeno(1,2,3-cd)pyrene + benzo(g,h,i)perylene] for the two biomass boilers was lower than those of the reference data for other burning devices, which can probably be used as an indicator to distinguish the emission of biomass boilers from that of industrial coal-fired boilers and residential stoves. The toxic potential of the emission from wood pellet burning was higher than that from straw pellet burning, however both of them were much lower than residential stove exhausts.     

我国碳排放权交易试点现状及问题分析

分析了碳排放权交易试点市场的政策环境,从准入规则、配额分配、排放核查、交易量与交易价格4个方面介绍了各试点地区碳排放权交易市场的现状,归纳出了我国碳排放交易试点的主要特点;并通过与碳排放交易欧盟体系(EU-ETS)进行对比,提出了我国在碳排放权交易试点工作中存在的主要问题及国际差距,并提出了完善我国碳排放权交易市场的建议。     

基于降低温室效应的航空器运行策略

以航空器运行对环境造成温室效应的两个主要因素—CO_2和凝结尾为研究对象,通过绝对全球温变潜势(AGTP)建立科学统一的衡量标准,将CO_2和凝结尾对环境的影响转换为全球地表温度的改变,为降低温室效应提供依据。最后结合典型高空的探空资料对实际增温进行计算,对比分析25、50、100年时间水平下CO_2和凝结尾对全球地表温度造成的影响,为航空器降低温室效应提供飞行高度指导。     

High-resolution inventory of NO emissions from agricultural soils over the Ile-de-France region

Arable soils are a significant source of nitric oxide (NO), a precursor of tropospheric ozone, and thereby contribute to ozone pollution. However, their actual impact on ozone formation is strongly related to their spatial and temporal emission patterns, which warrant high-resolution estimates.Here, we combined an agro-ecosystem model and geo-referenced databases to map these sources over the 12 000 km² administrative region surrounding Paris, France, with a kilometric level resolution. The six most frequent arable crop species were simulated, with emission rates ranging from 1.4 kg N-NO ha⁻¹ yr⁻¹ to 11.1 kg N-NO ha⁻¹ yr⁻¹. The overall emission factor for fertilizer-derived NO emissions was 1.7%, while background emissions contributed half of the total NO efflux. Emissions were strongly seasonal, being highest in spring due to fertilizer inputs. They were mostly sensitive to soil type, crops' growing season and fertilizer N rates.     

Exhaust emission inventory of typical construction machinery and its contribution to atmospheric pollutants in Chengdu, China

To study the emission characteristics of typical construction machinery in Chengdu, 12 construction machinery (excavators, bulldozers, loaders, and forklifts) under idling mode, moving mode, and working mode, were tested using a portable emission measurement system (PEMS). Under three operating modes, the typical construction machinery in the working mode was higher in the fuel-based average emission factors of PM_2.5 and NO_x, while the fuel-based average emission factors of HC and CO were higher in idling mode. Integrated the results of investigation on ownership and activity levels of construction machinery, an exhaust emission inventory of typical construction machinery of Chengdu in 2018 was established according to the recommendation method. The annual emission of PM_2.5, NO_x, HC, and CO were 1.67 × 10⁶, 1.61 × 10⁸, 3.83 × 10⁶, and 1.26 × 10⁷ kg, respectively, and the excavator contributed the maximum emissions, accounting for an average proportion of 43.95%. The emission of construction machinery in Chengdu exhibited a clear monthly trend, with the highest from April to October and the lowest from November to March. In addition, the exhaust emissions presented an obvious spot-like characteristics, and the high-value areas were mainly concentrated in the surrounding suburban counties such as Shuangliu Wenjiang etc. To reduce pollution from construction machinery and improve the quality of the atmospheric environment, more effective measures on housing construction and municipal construction should be taken in those districts in Chengdu.     

珠江三角洲区域污染分布及其垂直风场特征

基于2014年4月~2015年3月珠江三角洲(珠三角)56个环境监测子站以及9个城市的逐时PM2.5浓度数据,对珠三角地区的颗粒物污染进行了系统聚类分析和相关性分析.结果表明,珠三角地区PM2.5的区域污染可分为3种类区,一为东莞、广州、佛山以及江门(Ⅰ型);二为中山、珠海、深圳、惠州(Ⅱ型);三为肇庆单独为一类(Ⅲ型).其在一年中所出现的天数分别为47、7和128 d.Ⅰ型污染时,除珠海、深圳和惠州外,其他城市的PM2.5浓度普遍较高;Ⅱ型污染时,整个珠三角地区的PM2.5浓度均要高于50.0μg·m-3;Ⅲ型污染时,PM2.5浓度较高的区域主要集中在肇庆、广州以及佛山地区.同时利用珠三角地区4台主要的风廓线雷达数据研究3种污染类型所对应的垂直风场特征发现:Ⅰ型与Ⅲ型污染状况所对应的风廓线相似,低层受东南风控制,高层为西南风,Ⅲ型的风速大于Ⅰ型风速,而Ⅱ型污染时的风速明显大于其他两种类型,其低层几乎均受偏北风影响,而高层则受偏西风的影响.Ⅱ型污染所对应的边界层中低层的风向变化很小,而其他两类则有一定的变化.同时Ⅱ型的通风量要明显大于其他两种类型,其中Ⅰ型的通风量最小.珠三角受偏北风作用时,整个珠三角的PM2.5浓度较高;当盛行东南风时,Ⅰ、Ⅱ区的PM2.5浓度相对较低,而Ⅲ区的污染相对较重.