Effects of ambient temperature on regulated gaseous and particulate emissions from gasoline-, E10- and M15-fueled vehicles

• Emissions from two sedans were tested with gasoline, E10 and M15 at 30°C and -7°C. • As the temperature decreased, the PM, PN and BC emissions increased with all fuels. • Particulate emissions with E10 and M15 were more sensitive to the temperature. • The PN and BC generated during cold start-up dominated those over the WLTC. Ambient temperature has substantial impacts on vehicle emissions, but the impacts may differ between traditional and alcohol gasolines. The objective of this study was to investigate the effects of temperature on gaseous and particulate emissions with both traditional and alcohol gasoline. Regulated gaseous, particle mass (PM), particle number (PN) and black carbon (BC) emissions from typical passenger vehicles were separately quantified with gasoline, E10 (10% ethanol and 90% gasoline by volume) and M15 (15% methanol and 85% gasoline by volume) at both 30°C and -7°C. The particulate emissions with all fuels increased significantly with decreased temperature. The PM emissions with E10 were only 48.0%–50.7% of those with gasoline at 30°C but increased to 59.2%-79.4% at -7°C. The PM emissions with M15 were comparable to those with gasoline at 30°C, but at -7°C, the average PM emissions were higher than those with gasoline. The variation trend of PN emissions was similar to that of PM emissions with changes in the fuel and temperature. At 30°C, the BC emissions were lower with E10 and M15 than with gasoline in most cases, but E10 and M15 might emit more BC than gasoline at -7°C, especially M15. The results of the transient PN and BC emission rates show that particulate emissions were dominated mainly by those emitted during the cold-start moment. Overall, the particulate emissions with E10 and M15 were more easily affected by ambient temperature, and the advantages of E10 and M15 in controlling particulate emissions declined as the ambient temperature decreased.     

High seasonal variation of atmospheric C and particle concentrations in Delhi,India

The highly populated Indian regions are currently in a phase of rapid economic growth resulting in high emissions of carbonaceous aerosols. This leads to poor air quality and impact on climate. The chemical composition of carbonaceous aerosols has rarely been studied in industrial areas of India. Here, we investigated carbonaceous aerosols in particulate matter (PM) monthly in the industrial area of Delhi in 2011. The concentrations of organic C and elemental C in PM₁₀ fraction were analyzed. Results show a clear seasonal variability of organic and elemental C. PM₁₀ ranged 95.9–453.5 μg m^?3, organic C ranged 28.8–159.4 μg m^?3, and elemental C ranged 7.5–44.0 μg m^?3; those values were higher than reported values. Organic and elemental C were correlated with each other in pre-monsoon and winter seasons, implying the existence of similar emission sources such as coal combustion, biomass burning and vehicular exhaust. The annual average contribution of total carbonaceous aerosols in PM₁₀ was estimated as 62 %.     

Modelling concentrations of airborne primary and secondary PM10 and PM2.5 with the BelEUROS-model in Belgium

The Eulerian Chemistry-Transport Model BelEUROS was used to calculate the concentrations of airborne PM₁₀ and PM_2.5 over Europe. Both primary as well as secondary particulate matter in the respirable size-range was taken into account. Especially PM_2.5 aerosols are often formed in the atmosphere from gaseous precursor compounds. Comprehensive computer codes for the calculation of gas phase chemical reactions and thermodynamic equilibria between compounds in the gas-phase and the particulate phase had been implemented into the BelEUROS-model. Calculated concentrations of PM₁₀ and PM_2.5 are compared to observations, including both the spatial and daily, temporal distribution of particulate matter in Belgium for certain monitoring locations and periods. The concentrations of the secondary compounds ammonium, nitrate and sulfate have also been compared to observed values. BelEUROS was found to reproduce the observed concentrations rather well. The model was applied to assess the contribution of emissions derived from the sector agriculture in Flanders, the northern part of Belgium, to PM₁₀- and PM_2.5-concentrations. The results demonstrate the importance of ammonia emissions in the formation of secondary particulate matter. Hence, future European emission abatement policy should consider more the role of ammonia in the formation of secondary particles.     

PM<Subscript>10</Subscript> emissions from industrial coal-fired chain-grate boilers

Industrial coal-fired boiler is an important air pollutant emission source in China. The chain-grate boiler is the most extensively used type of industrial coal-fired boiler. An electrical low-pressure impactor, and a Dekati® Low Pressure Impactor were applied to determine mass and number size distributions of PM₁₀ at the inlet and the outlet of the particulate emission control devices at six coalfired chain-grate boilers. The mass size distribution of PM₁₀ generated from coal-fired chain-grate boilers generally displays a bimodal distribution that contains a submicron mode and a coarse mode. The PM in the submicron mode for burning with raw coal contributes to 33% ± 10 % of PM₁₀ emissions, much higher than those for pulverized boilers. And the PM in the submicron mode for burning with briquette contributes up to 86 % of PM₁₀ emissions. Multiclones and scrubbers are not efficient for controlling PM10 emission. Their average collection efficiencies for sub-micron particle and super-micron particle are 34% and 78%, respectively. Operating conditions of industrial steam boilers have influence on PM generation. Peak of the submicron mode during normal operation period is larger than the start-up period.

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Source apportionment of PM2.5 in Tangshan,China—Hybrid approaches for primary and secondary species apportionment

The new hybrid approaches for the source apportionment of PM_2.5 were proposed. The hybrid approach can be used for source apportionment of secondary species. The metallurgy industry was the biggest contribution source to PM_2.5 of Tangshan. In winter, the contribution from the coal-fired boilers was the largest one. The objective of this paper is to propose a hybrid approach for the source apportionment of primary and secondary species of PM_2.5 in the city of Tangshan. The receptor-based PMF (Positive Matrix Factorization) is integrated with the emission inventory (EI) to form the first hybrid method for the source apportionment of the primary species. The hybrid CAMx-PSAT-CP (Comprehensive Air Quality Model with Extensions – Particulate Source Apportionment Technology – Chemical Profile) approach is then proposed and used for the source apportionment of the secondary species. The PM_2.5 sources identified for Tangshan included the soil dust, the metallurgical industry, power plants, coal-fired boilers, vehicles, cement production, and other sources. It is indicated that the PM_2.5 pollution is a regional issue. Among all the identified sources, the metallurgy industry was the biggest contribution source to PM_2.5, followed by coal-fired boilers, vehicles and soil dust. The other-source category plays a crucial role for PM_2.5, particularly for the formation of secondary species and aerosols, and these other sources include non-specified sources such as agricultural activities, biomass combustion, residential emissions, etc. The source apportionment results could help the local authorities make sound policies and regulations to better protect the citizens from the local and regional PM_2.5 pollution. The study also highlights the strength of utilizing the proposed hybrid approaches in the identification of PM_2.5 sources. The techniques used in this study show considerable promise for further application to other regions as well as to identify other source categories of PM_2.5.     

大气颗粒物暴露与健康效应研究进展

大气颗粒物一直是影响我国大多数城市空气质量的首要污染物,且呈现出与欧美不同的煤烟、机动车尾气以及开放源复合型污染并存的高浓度污染态势,已有研究发现颗粒物的短期或长期暴露均会对人体产生不良的健康效应。本文从环境科学、暴露科学、环境流行病学和环境毒理学研究等方面系统综述了大气颗粒物健康效应研究的方法和进展,可为我国的大气颗粒物健康效应研究与大气颗粒物环境质量标准的修订提供方法学参考和经验借鉴。目前我国PM10污染尚未得到有效控制,细颗粒物(PM2.5)的污染也已引起关注,建议在不同区域开展空气污染健康效应的系统研究。     

Dissolution behavior of metals from particulate matter emissions

Exposure to air particulate matter (PM) is linked to numerous health effects. In order to improve the understanding of the role of its metallic components, their solubility was examined by using serial short-contact dissolutions totalling 1?h and additional sequential contact periods of 1, 4, and 8 days. The dissolution experiments were performed in solutions containing the main biological electrolytes. ICPMS determinations were used to quantify the dissolved metals. The total compositions were determined after closed vessel microwave digestion. Large variations in the rate and completeness of the dissolutions were observed. Fast and extensive dissolutions within the short-contact time (e.g., Zn, Cd) as well as slow dissolutions persisting during the last contact period (e.g., Ni, Cu, Sb, Pb) were found for smelting emissions. The multi-element determinations also made it possible to identify relationships between dissolution of different metals and define gradual composition changes of residual PM. When comparing with dissolutions performed in de-ionized water, similar major fractions were observed at short-contact time for minor components of smelting or combustion emissions (e.g., V, Ni, Cd), suggesting a preponderance of easily available forms at the surface of the relatively inert particle cores. The use of these time sequential methods may help in (1) modeling metal partitioning in biological media and (2) investigating the causes of adverse effects attributed to air PM.     

Miscanthus × Giganteus straw and pellets as sustainable fuels

In this paper we present, for the first time, data on the combustion of Miscanthus × Giganteus straw and pellets. We found that the heating value of Miscanthus is 17.744 MJ/kg. The gaseous emission indices of SO₂, NO _x and total organic carbon (TOC) in the exhaust are reported and compared with the European standards for biomass boilers. On the basis of our results, it is possible to evaluate a net energy yield between 152 and 326 MJ/hectare/year for the cultivation of Miscanthus with an energy balance estimated to be in the range of 7.7–15.4. According to the presented results, it seems reasonable to consider Miscanthus as a promising candidate as alternative fuel.     

Monitoring the transport of biomass burning emissions in South America

The atmospheric transport of biomass burning emissions in the South American and African continents is being monitored annually using a numerical simulation of air mass motions; we use a tracer transport capability developed within RAMS (Regional Atmospheric Modeling System) coupled to an emission model. Mass conservation equations are solved for carbon monoxide (CO) and particulate material (PM2.5). Source emissions of trace gases and particles associated with biomass burning activities in tropical forest, savanna and pasture have been parameterized and introduced into the model. The sources are distributed spatially and temporally and assimilated daily using the biomass burning locations detected by remote sensing. Advection effects (at grid scale) and turbulent transport (at sub-grid scale) are provided by the RAMS parameterizations. A sub-grid transport parameterization associated with moist deep and shallow convection, not explicitly resolved by the model due to its low spatial resolution, has also been introduced. Sinks associated with the process of wet and dry removal of aerosol particles and chemical transformation of gases are parameterized and introduced in the mass conservation equation. An operational system has been implemented which produces daily 48-h numerical simulations (including 24-h forecasts) of CO and PM2.5, in addition to traditional meteorological fields. The good prediction skills of the model are demonstrated by comparisons with time series of PM2.5 measured at the surface.     

PM2.5: global progress in controlling the motor vehicle contribution

It is well established that ambient particles in the size range of 2.5 microns or less case a wide variety of adverse health effects. According to a recent study from the World Health Organization, in 2010 these effects resulted in approximately 3.2million premature deaths with vehicles being one of the significant contributors. Diesel vehicle particulate emissions which are virtually all smaller than 2.5 microns raise additional special concerns due to their carcinogenicity and high ratio of black carbon （BC） to organic carbon; black carbon has recently been found to be the second most important contributor to climate change after carbon dioxide. Other pollutants emitted by diesels and other vehicles such as the oxides of nitrogen and volatile organic compounds also contribute to ambient particulate matter smaller than 2.5 microns in size （PM2.5） after undergoing secondary transformations in the atrno- sphere. Technologies have dramatically reduce vehicle been developed that can emissions when clean, low sulfur fuels are available and these technologies are being phased in throughout the industrialized world resulting in a global decrease in particulate matter （PM） and BC emissions from vehicles. However the vehicle population is growing rapidly in the developing world, leading to increases in emissions in many countries. Unless these rapidly industrializing countries move to state of the art vehicles and clean fuels, global PM, BC and NOx emissions from road vehicles will start to turn up over the next 10 to 15 years.     

Life-cycle assessment of net greenhouse-gas flux for bioenergy cropping systems.

Bioenergy cropping systems could help offset greenhouse gas emissions, but quantifying that offset is complex. Bioenergy crops offset carbon dioxide emissions by converting atmospheric CO2 to organic C in crop biomass and soil, but they also emit nitrous oxide and vary in their effects on soil oxidation of methane. Growing the crops requires energy (e.g., to operate farm machinery, produce inputs such as fertilizer) and so does converting the harvested product to usable fuels (feedstock conversion efficiency). The objective of this study was to quantify all these factors to determine the net effect of several bioenergy cropping systems on greenhouse-gas (GHG) emissions. We used the DAYCENT biogeochemistry model to assess soil GHG fluxes and biomass yields for corn, soybean, alfalfa, hybrid poplar, reed canarygrass, and switchgrass as bioenergy crops in Pennsylvania, USA. DAYCENT results were combined with estimates of fossil fuels used to provide farm inputs and operate agricultural machinery and fossil-fuel offsets from biomass yields to calculate net GHG fluxes for each cropping system considered. Displaced fossil fuel was the largest GHG sink, followed by soil carbon sequestration. N20 emissions were the largest GHG source. All cropping systems considered provided net GHG sinks, even when soil C was assumed to reach a new steady state and C sequestration in soil was not counted. Hybrid poplar and switchgrass provided the largest net GHG sinks, >200 g CO2e-C x m(-2) x yr(-1) for biomass conversion to ethanol, and >400 g CO2e-C x m(-2) x yr(-1) for biomass gasification for electricity generation. Compared with the life cycle of gasoline and diesel, ethanol and biodiesel from corn rotations reduced GHG emissions by approximately 40%, reed canarygrass by approximately 85%, and switchgrass and hybrid poplar by approximately 115%.     

Impacts of methanol fuel on vehicular emissions: A review

● Methanol effectively reduces CO, HC, CO₂, PM, and PN emissions of gasoline vehicles. ● Elemental composition of methanol directly affects the reduction of emissions. ● Several physicochemical properties of methanol help reduce vehicle emissions. The transport sector is a significant energy consumer and a major contributor to urban air pollution. At present, the substitution of cleaner fuel is one feasible way to deal with the growing energy demand and environmental pollution. Methanol has been recognized as a good alternative to gasoline due to its good combustion performance. In the past decades, many studies have investigated exhaust emissions using methanol-gasoline blends. However, the conclusions derived from different studies vary significantly, and the explanations for the effects of methanol blending on exhaust emissions are also inconsistent. This review summarizes the characteristics of CO, HC, NO_x, CO₂, and particulate emissions from methanol-gasoline blended fuels and pure methanol fuel. CO, HC, CO₂, particle mass (PM), and particle number (PN) emissions decrease when methanol-blended fuel is used in place of gasoline fuel. NO_x emission either decreases or increases depending on the test conditions, i.e., methanol content. Furthermore, this review synthesizes the mechanisms by which methanol-blended fuel influences pollutant emissions. This review provides insight into the pollutant emissions from methanol-blended fuel, which will aid policymakers in making energy strategy decisions that take urban air pollution, climate change, and energy security into account.     

Emission factors of gaseous carbonaceous species from residential combustion of coal and crop residue briquettes

Experiments were performed to measure the emission factors (EFs) of gaseous carbonaceous species, such as CO₂, CO, CH₄, and non-methane volatile organic compounds (NMVOCs), from the combustion of five types of coal of varying organic maturity and two types of biomass briquettes under residential burning conditions. Samples were collected in stainless steel canisters and 2,4-dinitrophenylhydrazine (DNPH) cartridges and were analyzed by GC-FID/MS and HPLC, respectively. The EFs from crop residue briquette burning were generally higher than those from coals, with the exception of CO₂. The dominant NMVOC species identified in coal smoke were carbonyls (41.7%), followed by C2 unsaturated hydrocarbons (29.1%) and aromatics (12.1%), while C2 unsaturated hydrocarbons were the dominant species (68.9%) emitted from the combustion of crop residue briquettes, followed by aromatics (14.4%). A comparison of burning normal crop residues in stoves and the open field indicated that briquettes emitted a larger proportion of ethene and acetylene. Both combustion efficiency and coal organic maturity had a significant impact on NMVOC EFs from burning coal: NMVOC emissions increased with increasing coal organic maturity but decreased as the combustion efficiency improved. Emissions from the combustion of crop residue briquettes from stoves occurred mainly during the smoldering process, with low combustion efficiency. Therefore, an improved stove design to allow higher combustion efficiency would be beneficial for reducing emissions of carbonaceous air pollutants.     

World air particulate matter: sources,distribution and health effects

Particulate matter (PM) is both a major driver of climate change and a source of toxicity for health. In the upper atmosphere, particulate matter modifies the earth radiation budget, cloud formation and acts as a reaction center for air pollutants. In the lower atmosphere, particulate matter changes atmospheric visibility and alters biogeochemical cycles and meteorology. Most critical effects are observed in ambient air, where particulate matter degrades human health. Here we review the sources, spatial and temporal variability, and toxicity of PM₁₀, the particulate matter having particle sizes 10 micrometers or less in diameter, in world regions. For that we analyzed information from the world wide web and databases from government organizations after the year 2000. Findings show that PM₁₀ is a major risk in both developed and developing countries. This risk is more severe in Asian countries compared to Europe and USA, where decreasing trends are recorded during the last two decades. Meteorological factors modify particulate matter variations at local and regional levels. PM_2.5/PM₁₀ ratio provides information of particulate matter sources under different environment conditions. Crustal matter, road traffic and combustion of fuels are major sources of particulate matter pollution. Health studies indicate that long-term exposure to particulate matter has multiple health effects in people from all age groups. Identification of possible sources and their control with regular epidemiological monitoring could decrease the impact of particulate matter pollution.     

北京市2012-2013年秋冬季大气颗粒物污染特征分析

大气颗粒物一直是影响我国城市空气质量的重要污染物,2013年1月北京市的严重灰霾污染更是带来了重大的健康危害和经济损失。为了摸清北京市颗粒物污染的特征,本文利用北京市实时发布的颗粒物污染监测数据,选取污染最为严重的2012-2013年秋冬季时段,对颗粒物的达标情况、变化趋势及其与气象因子相关性等方面进行研究。研究结果表明：1）2012年,北京市年均ρ（PM10）为109.0μg.m-3,超过了新国标二级标准限值,日均ρ（PM10）的超标天数为84天,全年超标天数比例为23.0%。2）2012年10月至2013年2月,ρ（PM10）达标天数比例为77.9%,ρ（PM2.5）的达标天数比例为51.9%。各月ρ（PM2.5）的达标天数比例均低于ρ（PM10）,某些月份二者达标天数比例差异很大。3）ρ（PM2.5）与ρ（PM10）的逐小时连续变化趋势基本相同,变化特征为＂快速积累,迅速消散,持续时间不定＂。ρ（PM2.5）与ρ（PM10）平均值24 h的变化呈双峰双谷曲线,颗粒物质量浓度夜间高于白天。4）研究期日均ρ（PM10）和ρ（PM2.5）与日均相对湿度呈显著正相关关系,与平均风速和最大风速呈显著负相关关系,ρ（PM2.5）比ρ（PM10）更易受气象条件变化影响。5）ρ（PM10）和ρ（PM2.5）日均值有着非常显著的线性相关关系。本研究得出的ρ（PM2.5）/ρ（PM10）的均值高于之前北京市及我国其他城市研究得出的数值,严重污染现象是由特殊的气象背景条件与污染物高排放共同导致的。     

Identify the contribution of vehicle non-exhaust emissions: a single particle aerosol mass spectrometer test case at typical road environment

● A single particle observation was conducted in a high traffic flow road environment. ● Major particle types were vehicle exhausts, coal burning, and biomass burning. ● Contribution of non-exhaust emissions was calculated via PMF. ● Proportion of non-exhaust emissions can reach 10.1 % at road environment. A single particle aerosol mass spectrometer (SPAMS) was used to accurately quantify the contribution of vehicle non-exhaust emissions to particulate matter at typical road environment. The PM_2.5, black carbon, meteorological parameters and traffic flow were recorded during the test period. The daily trend for traffic flow and speed on TEDA Street showed obvious “M” and “W” characteristics. 6.3 million particles were captured via the SPAMS, including 1.3 million particles with positive and negative spectral map information. Heavy Metal, High molecular Organic Carbon, Organic Carbon, Mixed Carbon, Elemental Carbon, Rich Potassium, Levo-rotation Glucose, Rich Na, SiO₃ and other categories were analyzed. The particle number concentration measured by SPAMS showed a good linear correlation with the mass concentrations of PM_2.5 and BC, which indicates that the particulate matter captured by the SPAMS reflects the pollution level of fine particulate matter. EC, ECOC, OC, HM and crustal dust components were found to show high values from 7:00–9:00 AM, showing that these chemical components are directly or indirectly related to vehicle emissions. Based on the PMF model, 7 major factors are resolved. The relative contributions of each factor were determined: vehicle exhaust emission (44.8 %), coal-fired source (14.5 %), biomass combustion (12.2 %), crustal dust (9.4 %), ship emission (9.0 %), tires wear (6.6 %) and brake pads wear (3.5 %). The results show that the contribution of vehicle non-exhaust to particulate matter at roadside environment is approximately 10.1 %. Vehicle non-exhaust emissions are the focus of future research in the vehicle pollutant emission control field.     

农村室内薪柴燃烧的颗粒物和炭黑排放因子

室内薪柴燃烧是大气污染的重要来源,其排放的污染物对气候变化和人体健康都有很大影响。对该来源排放量的可靠估算是进行排放效应分析和合理控制的重要前提,而估算的可靠性主要取决于燃料消耗量和排放因子的准确性。目前,我国针对农村柴灶薪柴燃烧颗粒物排放因子的测定数据很少,变异很大,不足以支持可靠的排放清单估算。测定了9种薪柴(枫桦、兰考泡桐、黑杨、大叶风杨、楝树、枣树、柿树、桑树和桃树)在中国北方典型农村炉灶中燃烧产生的颗粒物(PM)、有机碳(OC)和元素碳(EC)的排放因子。受燃料种类、性质和燃烧条件的影响,测得的排放因子差别较大。9种薪柴各自的PM、EC和OC的排放因子变化范围分别为(0.74±0.13)～(6.23±1.47)g.kg-1,(0.10±0.06)～(0.97±0.28)g.kg-1和(0.14±0.03)～(3.81±0.92)g.kg-1(以干质量计)。全部薪柴的PM、EC和OC的排放因子均值和标准差分别为(2.58±2.15)、(0.29±0.31)和(0.98±1.24)g.kg-1。室内薪柴燃烧PM、EC和OC排放因子之间呈显著的相关性关系。各种薪柴燃烧排放的颗粒物粒径分布相似,均以细颗粒物为主,PM2.1占PM10总质量的90%以上。此外,除EC排放因子外,薪柴燃烧的PM和OC排放因子与校正燃烧效率显著负相关(P<0.05)。细颗粒物组分PM2.1与校正燃烧效率显著负相关(P<0.05),与燃料含水量显著正相关(P<0.05)。     

西安市冬季重污染天PM2.5高分辨率及其中碳气溶胶污染特征分析

为了研究西安市冬季重污染天PM2.5及其中碳气溶胶的变化特征,在2013年1月1日至2013年2月28日大气污染严重的天气进行24 h连续的PM2.5样品采集,再通过Model-4型全自动半连续式在线光/热法大气气溶胶OC/EC分析仪分析得出OC、EC的连续质量浓度值。结果表明,西安市PM2.5质量浓度冬季重污染天日循环变化规律明显,均大致呈现双峰模式,白天和夜间各有一个高峰。2月份的每个PM2.5质量浓度值高峰和低峰的出现均比1月份晚2-3 h,夜晚的高峰值比1月份低,PM2.5质量浓度比1月份上升得慢,下降得快。气象条件能对PM2.5质量浓度产生较强的影响。2月份PM2.5质量浓度值整体比1月份低,但在2月10日出现突越（499μg·m-3）,这与春节假期人为活动变化有关。OC/PM2.5、EC/PM2.5、TCA/PM2.5日变化幅度都较小,这说明OC、EC、TCA的来源比较一致;OC/EC值的平均值为6.63,表明西安冬季重污染期PM2.5中的一次来源主要为燃煤排放。PM2.5、OC、EC、TCA和OC/EC的值较2010年都有明显的上升,但OC/PM2.5、EC/PM2.5、TCA/PM2.5的值却是下降的,这说明近年来PM2.5及碳气溶胶的控制措施效果不明显,碳气溶胶二次来源增加,PM2.5的排放来源变得更加复杂。OC和TCA日循环变化呈现出明显的双峰特征;EC的变化趋势不明显。一天中OC/EC值多数时候处于较高水平,且受早晚车流量高峰的影响不明显,说明西安冬季重污染期间碳气溶胶受光化学反应转化的二次来源影响比较大。OC、EC的线性相关性比较好,且白天相对夜晚好,说明西安市冬季夜间燃煤采暖增加了碳气溶胶来源的复杂性。     

太原市环境空气中TSP和PM_(10)来源解析

2001年到2002年,在太原市5个采样点分别采集了环境空气中的总悬浮颗粒物(TSP)和可吸入颗粒物(PM10)。用化学质量平衡模型和二重源解析技术解析了TSP和PM10的来源,结果表明,各主要源类对TSP的分担率依次为燃煤尘28%、扬尘24%、建筑水泥尘14%、硫酸盐10%、机动车尾气尘10%、土壤风沙尘5%、钢铁尘4%、硝酸盐4%、其它1%;对PM10的分担率依次为扬尘30%、燃煤尘18%、机动车尾气尘15%、硫酸盐11%、土壤风沙尘9%、建筑水泥尘7%、硝酸盐4%、其它1%。     

典型海滨和内陆城市PM10中的碳成分初步研究

为了分析碳成分在海滨和内陆城市的浓度现状、季节变化和日变化特征,于2009-11-2—2009-11-4(秋季)、2009-12-21—2009-12-23(冬季)、2010-4-27—2010-4-30(春季)和2010-8-26—2010-8-29(夏季)连续同步密集采集了厦门和成都大气可吸入颗粒物(PM10)样品,并采用IMPROVE热光分析法分析了PM10中有机碳(OC)和元素碳(EC),采用燃烧氧化-非分散红外吸收法测定了样品中的水溶性有机碳(WSOC),采用乙基紫-分光光度法测定样品中阴离子表面活性物质(EVAS)的浓度.结果显示,海滨和内陆城市PM10中碳成分含量季节分布明显,冬春季含量较高,夏秋季含量较低.各季碳成分含量日变化趋势不完全相同.WSOC与OC和EC相关分析结果显示,WSOCs主要来源于光化学反应形成的二次污染物.