Production of boundary layer ozone from tropical American Savannah biomass burning emissions

Boundary layer ozone and carbon monoxide were measured at a savannah site in the Orinoco river basin, during the dry and wet seasons. CO and O₃ concentrations recorded around noontime show a good linear correlation, suggesting that the higher ozone levels observed during the dry season are photochemically produced during the oxidation of reactive hydrocarbons in the presence of NO_x both emitted by biomass burning. The rate of photochemical ozone production in the boundary layer ozone by biomass burning calculated from the production ratio ΔO₃/ΔCO (0.17±0.01 v : v) and the amount of CO produced by fires (0.26–1.3 mole m⁻² dry season⁻¹), ranges from 0.6 to 2.6 ppbv h⁻¹ for 8 h of daylight. This O₃ production rate is in fairly good agreement with the value derived from RO₂ radical measurements made in the Venezuelan savannah during the dry season. The net boundary layer production of O₃ from all tropical America savannah fires is estimated to range between 0.28 and 0.36 Tmol O₃ per year, which is about 3 times higher than the O₃ produced from pollution sources in the eastern United States during the summer. An extrapolation to all of the world's savannah would indicate a net boundary layer ozone production of about 1.2 Tmol yr⁻¹. This is discussed in the context of the overall global budget of tropospheric ozone.     

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.     

生物质燃烧对东南亚及中国南方对流层臭氧含量影响的模拟研究

利用区域气候和大气化学模式系统,对2000年春季生物质燃烧排放影响东南亚及中国南部地区对流层臭氧含量进行模拟研究.结果表明,春季东南亚和南亚的生物质燃烧不仅影响源区对流层臭氧含量,而且对处于环流下游的中国南部地区也有显著作用;燃烧源区主要影响对流层低层,下游地区则影响对流层中低层.在源区引起的对流层臭氧总浓度增加达2.1×10^-1g/m²,对下游的中国南部地区增加量为9.0～12.0×10^-2g/m²;源区大气低层1000～900hPa的臭氧含量可增加36×10^-9m³/m³ 以上,而在中国南部750～700hPa高度上空的增加达15×10^-9m³/m³.     

湛江电力公司氮氧化物减排措施

介绍了湛江电力公司4×300 MW燃煤发电机组减排氮氧化物实施的技术。     

秸秆焚烧影响南京空气质量的成因探讨

综合利用卫星遥感的火点和云覆盖信息,结合气团后向轨迹分析,探讨了由秸秆焚烧造成的空气污染物的区域尺度输送和本地源对城市空气质量的影响.结果表明,在一定气象条件下,污染物可以发生区域尺度的输送,上风火点与下风城市的污染有明显的相关,将空气污染分为局地型(如,2006年5月31日、2009年11月8日)、区域型(如,2008年10月28日),以及局地区域相结合型(如,2006年6月14日、2007年6月5日、2008年6月2日)3种.应用本文的方法,在有云时,可以通过部分火点和气团后向轨迹分析推测污染物源地.空气污染气象条件分析表明,秸秆焚烧若伴随高空(500hPa)有槽(或位于槽前),低空存在弱切变,气流由周边向中心辐合;同时,若在均压场控制下,等压线稀疏,风速较小或静风,污染物则易积聚而不易输送;逆温层的形成将污染物禁锢在混合层以下,不利于垂直扩散;再加上较大的相对湿度,有利于霾的形成,造成严重空气污染.     

上海城区典型空气污染过程中细颗粒污染特征研究

采集了上海城区2009年10月10~21日期间2次空气污染过程的样品,在对污染过程分析的基础上,着重分析了PM2.5及其化学组分的变化,探讨了污染源及形成机制.研究表明,14日的灰霾过程主要由本地排放的污染物二次转化形成,PM2.5占PM10比重超过60%且PM2.5中离子组分含量高.17~19日的浮尘过程中,受北方沙尘影响本市粗颗粒浓度上升,PM2.5所占比重下降,二次离子组分从细颗粒物向粗颗粒物转移且Ca2+浓度上升,同时受到长江三角洲区域秸秆焚烧的影响,细颗粒物中K+, EC和OC含量高.因此,应在控制本地源排放的同时,加强对细颗粒尤其是二次细颗粒污染及其前体物的协同控制.     

典型电子废物焚烧区水生生物多溴联苯醚累积特征

对广东清远某电子废物焚烧区封闭水体中水生生物体PBDEs(多溴联苯醚)的累积特征进行了研究. 结果表明,草虾、田螺、河蚌、鲫鱼、鲤鱼、黄鳝和乌鳢等水生生物体内w(∑₂₁PBDEs)(以脂肪质量计)为0.2487~24.50μg/g. 该电子废物焚烧区水生生物PBDEs污染较严重,较我国其他地区开放性水体的水生生物体w(PBDEs)高出1~3个数量级. 其中,底栖动物河蚌和田螺体内PBDEs累积最高,w(∑₂₁PBDEs)分别为11.38和4.968μg/g. 不同同系物在水生生物体内累积差异较大,BDE209是水生生物体PBDEs累积的主要组分,占49.83%~91.48%,八溴代和九溴代BDE也发生了高累积. 营养级是电子废物焚烧区水生生物PBDEs累积的最主要控制因素,但捕食和生活习性对生物体尤其是软体动物PBDEs累积也产生了较大影响.      

Bayesian Networks and Adaptive Management of Wildlife Habitat

Abstract: Adaptive management is an iterative process of gathering new knowledge regarding a system's behavior and monitoring the ecological consequences of management actions to improve management decisions. Although the concept originated in the 1970s, it is rarely actively incorporated into ecological restoration. Bayesian networks (BNs) are emerging as efficient ecological decision‐support tools well suited to adaptive management, but examples of their application in this capacity are few. We developed a BN within an adaptive‐management framework that focuses on managing the effects of feral grazing and prescribed burning regimes on avian diversity within woodlands of subtropical eastern Australia. We constructed the BN with baseline data to predict bird abundance as a function of habitat structure, grazing pressure, and prescribed burning. Results of sensitivity analyses suggested that grazing pressure increased the abundance of aggressive honeyeaters, which in turn had a strong negative effect on small passerines. Management interventions to reduce pressure of feral grazing and prescribed burning were then conducted, after which we collected a second set of field data to test the response of small passerines to these measures. We used these data, which incorporated ecological changes that may have resulted from the management interventions, to validate and update the BN. The network predictions of small passerine abundance under the new habitat and management conditions were very accurate. The updated BN concluded the first iteration of adaptive management and will be used in planning the next round of management interventions. The unique belief‐updating feature of BNs provides land managers with the flexibility to predict outcomes and evaluate the effectiveness of management interventions.     

室内不同燃烧模式香烟污染的研究

香烟燃烧的主动吸烟、呼出烟雾、自由燃烧3种排放方式中,对一氧化碳CO、总挥发性有机物TVOC进行测定分析。自由燃烧模式较主动吸烟模式造成的CO和TVOC污染更高。对于室内环境的污染和被动吸烟者的危害,自由燃烧模式与呼出烟气模式的贡献比例CO和TVOC分别约为15/1和4/1。主动吸烟者吸入的烟气中CO和TVOC浓度可分别高达约10000mg/m3和800mg/m3,高出国家室内空气环境标准限量约1000倍,吸入的烟气中约有40%的CO通过肺部被人体吸收。     

燃煤电厂烟气脱硫设施脱硫效率计算方法的探讨

为准确评估燃煤电厂脱硫设施在实际运用中的脱硫效率,根据目前脱硫效率的三种计算方法在实际运用中的问题,并应用燃煤电厂的实测数据,对比了三种方法计算得出脱硫效率的相对误差。结果表明：根据折算浓度评估脱硫效率,综合考虑了烟气泄漏对计算脱硫效率的影响,并且不受烟气旁路排放等因素影响,理论上和实践中都可以得到准确的脱硫效率。