生物质锅炉与燃煤锅炉颗粒物排放特征比较

选择2台设计结构不同的生物质锅炉(BB1、BB2),针对木质和秸秆2种生物质燃料开展烟尘、PM₁₀和PM_2.5排放特征的研究,并与燃煤锅炉进行比较. 结果表明:2台生物质锅炉的大气污染物排放质量浓度都未达到北京市DB 11/139—2007《锅炉大气污染物排放标准》的要求;2台生物质锅炉颗粒物的排放因子存在差别,燃烧木质成型燃料时,BB1和BB2生物质锅炉除尘器后的烟尘排放因子分别为207.10和465.51mg/kg,PM₁₀排放因子分别为75.18和149.61mg/kg, PM_2.5排放因子分别为58.48和106.86mg/kg;燃烧秸秆成型燃料时,BB1和BB2生物质锅炉除尘器后的烟尘排放因子分别为142.86和1200.86mg/kg,PM₁₀排放因子分别为63.63和102.01mg/kg,PM_2.5的排放因子分别为50.90和76.51mg/kg. 与热功率相近的燃煤锅炉比较,2台生物质锅炉除尘器前的PM₁₀平均排放因子低30.41%,PM_2.5平均排放因子却高36.84%,即PM_2.5在生物质锅炉烟尘中所占比例更高. 尽管利用可再生能源的生物质锅炉具有很好的发展前景,但目前该类锅炉仍存在污染物排放不达标的现象,因此,需要提高热能利用效率和除尘效率,以减少污染.      

江门市燃生物质成型颗粒锅炉的排污现状与对策研究

生物质成型颗粒是《江门市能源发展"十三五"规划》中着力发展的能源之一.根据江门市燃生物质成型颗粒锅炉当前的使用状况和排污情况,分析总结了造成颗粒物和氮氧化物超标的原因主要为锅炉内部结构、燃烧操作以及燃生物质成型颗粒质量等.在此基础上,探讨改善江门市燃生物质成型颗粒锅炉污染的对策,提出了科学定位生物质成型颗粒,促进行业健康发展,加快各相关企业升级改造,藉此也为其他地区的燃生物质成型颗粒锅炉提供参考.     

奥运期间北京交通环境细颗粒物中多环芳烃特征研究

采用GC/MS测定了奥运空气质量保障措施实施期间(2008年8月)及非奥运时段(2008年6月、2009年8月)北京市北四环道路边PM2.5中12种优控PAHs含量,并应用特征化合物比值法对PAHs来源进行了识别.研究表明,奥运空气质量保障措施实施期问PAHs总浓度平均为4.77 ng·m-3,较非奥运时段下降了59%...     

烟煤层燃炉颗粒物的生成特征与管理控制

以95台中小型燃烟煤层燃炉(≤70MW)的燃料特性分析数据和颗粒物(PM)排放实测数据为基础,利用统计分析方法,研究了锅炉出力、过量空气系数、燃煤灰分含量对燃烧过程中PM初始排放浓度的影响,分析了燃煤锅炉PM排放现状,讨论了我国中小型燃煤锅炉PM排放管理控制的潜力和可行性。结果表明,在锅炉运行负荷≥80%的条件下,PM初始排放浓度随过量空气系数和燃煤灰分含量的增加略有增大,而与锅炉出力无关;在用烟煤层燃炉PM排放浓度基本上能够满足国家现行污染物排放标准规定的排放限值要求;有96%的锅炉所采用的除尘装置的除尘效率大于80%;与其他国家相比,目前我国对于中小型燃煤锅炉PM的排放控制还处于中等水平,建议在国家层面上适时提高燃煤锅炉颗粒物的排放限制。     

国内民用燃煤烟气中多环芳烃排放因子研究

模拟国内民用燃煤过程.确定燃煤排放烟气中PAHs的排放因子、PAHs在烟气气相与颗粒相之间的分配、特征排放谱以及不同燃烧方式的影响.结果表明:以15种母体PAHs加和计,燃煤排放因子的变化范围为71～882 mg·k8-1,排放因子和有毒PAHs组份排放量由高至低依次为烟煤、蜂窝煤和无烟煤,主要毒性成份存在于颗粒相中.PAH组份的气-固相分配比例与其饱和蒸汽压存在显著的正相关关系.燃煤类型和燃煤中挥发组份对烟气PAHs排放因子、气-固相分配以及排放谱分布具有决定性作用.另外,不同燃烧方式对燃煤排放因子也有一定影响,缺氧条件会导致排放系数升高.     

我国中小型燃煤锅炉SO2排放特征与控制对策

 基于87台中小型燃烟煤层燃炉(£70MW)的燃料特性分析数据和SO2排放实测数据,研究了锅炉出力、过量空气系数、燃煤硫含量对燃烧过程中SO2初始排放浓度的影响,分析了燃煤锅炉SO2排放现状,讨论了我国中小型燃煤锅炉SO2排放管理控制的潜力和可行性.结果表明,在锅炉运行负荷³80%的条件下,SO2初始排放浓度与燃煤硫含量之间具有显著的线性相关性,与锅炉出力和过量空气系数无关;分别有94%和87%的实测锅炉可以满足国家现行排放标准规定的第I和第II时段SO2最高允许排放浓度.     

燃煤锅炉颗粒物化学组成排放特征

本研究收集了兰州市不同吨位燃煤锅炉颗粒物排放样品,分析并评估了锅炉烟气中水溶性无机离子、碳质组分、水溶性有机物(WSOC)以及多环芳烃(PAHs)的排放水平、排放特征及其影响因素.结果表明,SO_4~(2-)、Cl~-和Ca~(2+)是燃煤锅炉样品中最主要的水溶性离子,分别占水溶性离子总和的35. 13%、23. 16%和22. 20%.不同吨位燃煤锅炉样品的OCEC及其热解成分谱较为相似,OC1、OC2、OC3、OC4、EC1、EC2和EC3分别占TC的1. 04%、8. 26%、20. 09%、6. 78%、51. 08%、7. 09%和5. 66%,其中EC1的含量最高,是最主要的碳质组分. WSOC/TC和WSOC/OC分别为0. 09±0. 07和0. 23±0. 12,且不同吨位锅炉之间差异较大.菲(Phe)、芘(Pyr)和苯并(k)荧蒽(Bk F)是PAHs的3个主要成分,分别占PAHs总和的16. 69%、11. 93%和10. 66%.不同吨位燃煤锅炉所排放颗粒物中水溶性离子、OCEC以及WSOC均与锅炉吨位大小无明显线性相关,随着吨位的增加PAHs轻组分含量减小.     

燃煤污染源多环芳烃的排放规律及其分布特征

在对固定污染源烟道气中多环芳烃污染物采样和分析方法进行研究的基础上,对几种不同的燃煤锅炉和炉灶烟道气中的多环芳烃进行了分析测定和评价实验,并探讨了各种锅炉和炉灶多环芳烃的排放规律和分布特征.     

四川省典型工业行业PM2.5成分谱分析

利用荷电低压颗粒物撞击器(ELPI+)对四川省水泥行业、玻璃行业、陶瓷行业、砖瓦行业、燃煤锅炉、生物质锅炉、电厂、钢铁行业等典型行业开展排放特征测试,通过组分分析,获取各行业PM_(2.5)成分特征谱.结果表明:①水泥、玻璃、陶瓷、砖瓦等建材行业均以Si、Ca、Mg等元素为主要排放组分,双碱法脱硫SO_4~(2-)排放占比高于其他脱硫工艺;②电厂PM_(2.5)中SO_4~(2-)、Ca~(2+)、NH_4~+、Mg和Si为特征组分;燃煤锅炉中OC、Al、Si和Ca等为特征组分;③OC和EC是生物质锅炉PM_(2.5)主要排放组分,成型生物质燃料锅炉中K排放占比也较高,非成型生物质燃料锅炉中Cl~-排放占比为所有行业中最高;④钢铁行业中Ca含量最高,为18. 11%,其次为SO_4~(2-)、Na~+和Fe.     

Variations in traffic-related polycyclic aromatic hydrocarbons in PM2.5 in Kanazawa, Japan, after the implementation of a new vehicle emission regulation

A three-year sampling campaign was conducted at a roadside air pollution monitoring station in the urban area of Kanazawa, Japan. Due to a new emission regulation, PAHs levels decreased over the sampling campaign, exhibiting values of 706 ± 413 pg/m³ in 2017, 559 ± 384 pg/m³ in 2018, and 473 ± 234 pg/m³ in 2019. In each year, similar seasonal variations in PAHs levels were observed, with higher levels observed in winter and lower levels in summer. Among the PAHs isomer ratios, we observed that the ratio of benzo[b]fluoranthene (BbF) and benzo[k]fluoranthene (BkF), [BbF]/([BbF] + [BkF]), and the ratio of indeno[1,2,3-cd]pyrene (IDP) and benzo[ghi]perylene (BgPe), [IDP]/([BgPe] + [IDP]), showed stability over the sampling campaign and were less affected by the new emission regulation, seasonal variations, and regional characteristics. When using the combined ratio ranges of 0.66 - 0.80 ([BbF]/([BbF] + [BkF]) and 0.26-0.49 ([IDP]/([BgPe] + [IDP]), traffic emissions were clearly distinguished from other PAHs emission sources. Principal component analysis (PCA) and positive matrix factorization (PMF) were also performed to further analyse the characteristics of traffic-related PAHs. Overall, this study affirmed the effectiveness of the new emission regulation in the reduction of PAHs emissions and provided a combined range for identifying PAHs traffic emission sources.     

Relationship between metabolic enzyme activities and bioaccumulation kinetics of PAHs in zebrafish (Danio rerio)

Many studies have investigated bioaccumulation and metabolism of polycyclic aromatic hydrocarbons (PAHs) in aquatic organisms. However, lack of studies investigated both processes simultaneously, and the interaction between these two processes is less understood so far. This study investigated the bioaccumulation kinetics of PAHs and metabolic enzyme activities, including total cytochrome P450 (CYPs) and total superoxide dismutase (T-SOD), in zebrafish. Mature zebrafish was exposed to the mixture of phenanthrene and anthracene under constant concentration maintained by passive dosing systems for 16 days. The results showed that PAH concentrations in zebrafish experienced a peak value after exposure for 1.5 days, and then decreased gradually. The bioaccumulation equilibrium was achieved after exposure for 12 days. Both of the uptake rate constants (k_u) and the elimination rate constants (k_e) decreased after the peak value. The variation of PAH concentrations and metabolic enzyme activities in zebrafish had an interactive relationship. CYPs and T-SOD activities increased initially with the increase of PAH concentrations, but decreased to the lowest state when PAH concentrations reached the peak value. When the bioaccumulation equilibrium of PAHs was achieved, CYPs and T-SOD activities also reached the steady state. In general, CYPs and T-SOD activities were activated after exposure to PAHs. The decrease of PAH concentrations in zebrafish after the peak value may be attributed to the great drop of k_u and the variation of CYPs activities. This study suggests that an interactive relationship exists between bioaccumulation kinetics of PAHs and metabolic enzyme activities in aquatic organisms.     

太原城区PM2.5中多环芳烃、硝基多环芳烃的污染特征、来源解析和健康风险评价

以2013—2014年期间太原城区大气细颗粒物(PM_(2.5))为研究对象,定量分析了其中多环芳烃和硝基多环芳烃的浓度.结果显示,太原城区PM_(2.5)中16种多环芳烃和12种硝基多环芳烃的浓度分别为13.8~547和0.70~4.33 ng·m~(-3),硝基多环芳烃浓度低于多环芳烃浓度1~2个数量级.太原城区PM_(2.5)中多环芳烃最高值出现在冬季,最低值出现在夏季,冬季污染物浓度平均值高于夏季20倍,主要是由于北方采暖期间取暖用煤量的增加使得多环芳烃排放量大幅提高;与之不同的是,硝基多环芳烃浓度季节变化并不显著,冬季浓度均值与夏季差异小于5倍(除9-硝基蒽),反映出硝基多环芳烃生成主要与机动车尾气排放有关,其排放不受季节控制,这与实际情况是吻合的.此外,基于因子分析和化合物比值结果发现,太原城区大气PM_(2.5)中9-硝基蒽有来自周边地区木材燃烧的贡献.健康风险评价结果表明,必须对多环芳烃排放进行有效控制来降低人群在冬季大气中的暴露风险;对于硝基多环芳烃,其健康风险更要引起足够的重视.     

烟煤层燃炉颗粒物初始排放因子变化规律研究

以95台中小型烟煤层燃炉(￡70MW)的燃料特性分析数据和颗粒物(PM)排放实测数据为基础,利用统计分析方法及SPSS13.0统计分析软件,分析了锅炉出力W、过量空气系数a、燃煤灰分含量w(A)对燃烧过程PM初始排放因子的影响,研究了PM初始排放因子的变化规律.结果表明,在锅炉运行负荷380%的条件下,基于燃料消耗量、燃料发热量和灰分含量的PM初始排放因子EF0C、EF0H和EF0A基本上与W无关; EF0C、EF0H随a和w(A)的增加而增大,EF0A随w(A)增加而减小.3种影响因子由强到弱的顺序分别为EF0C:w(A)> a> W;EF0H:w(A)> a> W;EF0A:w(A)> a> W.     

中小燃煤锅炉PM2.5排放特征实测研究

中小燃煤锅炉是我国工业和民用部门最主要的供热方式,掌握其一次颗粒物的排放特征对于研究大气PM2.5的来源和控制途径具有重要意义.本研究通过实测中小燃煤锅炉烟气,获得了中小燃煤锅炉PM2.5及以下粒径段的排放因子和分布,并分析了各粒径段的颗粒密度及除尘装置的去除效率.研究发现,PM2.5质量排放因子平均为(0.123±0.061)kg·t-1,PM2.5粒子数的排放因子平均为(3.17±1.65)×105t-1,烟气中70~120 nm粒径段的积聚模态颗粒在质量和数量上都高于其他粒径段.锅炉燃烧负荷是影响锅炉PM2.5排放的重要因素,锅炉的燃烧负荷越低,PM2.5排放将随之降低.实测锅炉的PM2.5排放因子显著低于物料衡算结果,说明采用物料衡算方法可能极大地高估了现有排放清单中工业燃煤锅炉的一次PM2.5排放量.     

Local PM10 and PM2.5 emission inventories from agricultural tillage and harvest in northeastern China

Mineral particles or particulate matters(PMs) emitted during agricultural activities are major recurring sources of atmospheric aerosol loading.However,precise PM inventory from agricultural tillage and harvest in agricultural regions is challenged by infrequent local emission factor(EF) measurements.To understand PM emissions from these practices in northeastern China,we measured EFs of PM_(10) and PM_(2.5) from three field operations(i.e.,tilling,planting and harvesting) in major crop production(i.e.,corn and soybean),using portable real-time PM analyzers and weather station data.County-level PM_(10) and PM_(2.5) emissions from agricultural tillage and harvest were estimated,based on local EFs,crop areas and crop calendars.The EFs averaged(107 ± 27),(17 ± 5) and 26 mg/m~2 for field tilling,planting and harvesting under relatively dry conditions(i.e.,soil moisture 15%),respectively.The EFs of PM from field tillage and planting operations were negatively affected by topsoil moisture.The magnitude of PM_(10) and PM_(2.5) emissions from these three activities were estimated to be 35.1 and 9.8 kilotons/yr in northeastern China,respectively,of which Heilongjiang Province accounted for approximately45%.Spatiotemporal distribution showed that most PM_(10) emission occurred in April,May and October and were concentrated in the central regions of the northeastern plain,which is dominated by dryland crops.Further work is needed to estimate the contribution of agricultural dust emissions to regional air quality in northeastern China.     

Emissions of parent, nitrated, and oxygenated polycyclic aromatic hydrocarbons from indoor corn straw burning in normal and controlled combustion conditions

Emission factors （EFs） of parent polycyclic aromatic hydrocarbons （pPAHs）, nitrated PAHs （nPAHs）, and oxygenated PAHs （oPAHs） were measured for indoor corn straw burned in a brick cooking stove under different burning conditions. The EFs of total 28 pPAHs, 6 nPAHs and 4 oPAHs were （7.9 ±3.4）, （6.5 ±1.6）×10^-3, and （6.1 ±1.4）×10^-1mg/kg, respectively. Fuel charge size had insignificant influence on the pollutant emissions. Measured EFs increased significantly in a fast burning due to the oxygen deficient atmosphere formed in the stove chamber. In both restricted and enhanced air supply conditions, the EFs of pPAHs, nPAHs and oPAHs were significantly higher than those measured in normal burning conditions. Though EFs varied among different burning conditions, the composition profiles and calculated isomer ratios were similar, without significant differences. The results from the stepwise regression model showed that fuel burning rate, air supply amount, and modified combustion efficiency were the three most significant influencing factors, explaining 72%-85% of the total variations.     

官厅水库周边蔬菜地表土中多环芳烃的污染

为掌握北京市备用水源地——官厅水库周边的蔬菜地表土中多环芳烃(PAHs)的污染状况及来源,于2008年11月在延庆县小丰营蔬菜产地采集了48个表土样品(0～20cm)测定PAHs含量,并综合特征化合物比值法和因子分析/多元线性回归两种方法推断了土壤中PAHs来源.结果表明,土壤中15种PAHs单体(PAH15)的含量均服从正态分布或对数正态分布,∑15PAH几何均值为(118.71±28.63)ng.g-1(干重含量,下同),算术均值为(139.57±85.65)ng.g-1.以荷兰土壤标准衡量,71%的样点归类PAHs弱污染,与文献报道的大多数国内外农业土壤相比,尚属于较清洁的水平.成分谱分析表明,研究区域土壤中的PAHs分布谱以3环～4环化合物为主,优势化合物为PHE、FLA、FLO、PYR.校正后的FLA/(FLA+PYR),ANT/(ANT+PHE)比值表明该研究区域PAHs主要来自燃烧源.通过因子分析提取了3个主成分,分别代表①燃煤和交通燃油;②生物质燃烧和炼焦;③燃油.多元线性回归分析的结果表明,这3种来源对官厅水库周边蔬菜地表土中PAHs的贡献分别是54.0%,39.9%和6.1%.结合两种源解析方法和排放源分析,除该区域存在明显生物质燃烧源以外,其它来源的PAHs经过了一定距离的大气迁移和沉降.     

燃煤电厂烟尘铅排放状况外场实测研究

选取30台燃煤电厂锅炉开展燃料铅含量及烟尘铅排放浓度的系列外场测试.结果表明,燃煤电厂燃料铅含量均值为8.50 mg·kg-1,烟尘铅平均排放浓度为0.0081 mg·m-3,排放因子为0.0643 g·t-1.不同机组容量及有无选择性催化还原(SCR)装置状况下烟尘铅排放因子无显著性差异(p＞0.1),不同除尘设施类型下烟尘铅排放因子有显著性差异(p＜0.1),布袋除尘(Fiber Filter,FF)电厂烟尘铅排放因子低于静电除尘(Electrostatic Precipitator,ESP)电厂.本研究中铅排放因子低于国内估算值,与AP 42燃煤电厂铅排放因子处于同一水平.基于本研究排放因子计算的全国2011年燃煤电厂烟尘铅排放量为126.76 t.     

蚊香燃烧产物中多环芳烃的分布规律及相关性研究

对蚊香燃烧后的烟气和灰烬样品进行采集,利用GC-MS方法分析其中16种优控多环芳烃(PAHs)的含量,并对烟气和灰烬中各PAHs组分及总量间的相关关系进行探讨.结果表明:蚊香烟气中16种PAHs均有检出,排放量较大的组分主要有萘、苊、二氢苊、菲和荧蒽,并以2～3环PAHs为主;灰烬中PAHs也以2～3环化合物为主,但排放总量仅为烟气中的4.7%～21.8%.通过与其他室内燃烧源PAHs排放量的对比发现,蚊香灰烬中总PAHs排放量低于卫生香源和木柴源,但比香烟源高一个数量级以上;烟气中总PAHs排放量低于燃煤源、木柴源和卫生香源,但明显高于烹调源.回归分析结果表明,烟气中总PAHs排放量与灰烬中的排放量表现出明显的线性关系(R2=0.9054).     

辽河口湿地表层土壤中PAHs的源解析研究

分别于2008年10月,2009年5月和8月采集31个辽河口湿地表层土壤样品,利用GC-FID技术定量分析其中多环芳烃(PAH)含量.结果表明, PAHs呈现出一定的时间分布特征,10月份的PAHs平均含量为1001.9ng/g,高于5月(877.1ng/g)和8月(675.4ng/g).应用比值法识别土壤PAHs主要来源,结果显示,2008年10月主要源于燃烧源,并表现出油类、生物质和煤的燃烧为主要来源的特征;2009年5月和8月均表现出石油源和燃烧源的混合源.正定矩阵因子模型解析结果表明,燃煤、交通燃油和生物质燃烧在2008年10月的贡献率最高,分别为26%、21%和20%.石油与交通污染、石油污染和生物质燃烧是2009年5月最重要的3种污染源,贡献率依次为33%、24%和17%.2009年8月以石油污染和交通污染与生物质燃烧混合源的贡献率最高, 贡献率分别为37%和19%.