贵州贫困农村室内PM10污染水平及影响因素分析

为调查贵州贫困农村室内空气污染水平,对织金和六枝农户室内可吸入颗粒物(PM10)进行了系统采样,分析了PM10污染水平,探讨了其影响因素。结果表明:采暖期PM10的平均值为640.5μg/m3,最高质量浓度达到7 739.9μg/m3;非采暖期PM10的平均值为459.9μg/m3,最高质量浓度达到3 515.1μg/m3,与《室内空气质量标准》(GB/T 18883—2002)相比,研究区PM10的超标率为71%～92%,超标倍数最高达50.60倍。经调查可知,贵州贫困农村室内PM10污染水平与燃料类型、炉灶类型、室内通风情况等密切相关,以拌泥煤、纯煤、蜂窝煤和简易敞口灶为主,且室内通风较差。     

哈尔滨市采暖与非采暖期大气颗粒物污染特性研究

为了研究采暖对哈尔滨市大气颗粒物环境特征的影响,分别在采暖前、采暖期和采暖后采集TSP、PM10和PM2.5.分析了3种粒径颗粒物在采暖期和非采暖期的浓度变化特征以及粒径分布特征,并做了颗粒物的化学成分分析,包括20种无机元素和两种碳成分.结果表明:TSP和PM10在12月、1月、3月和4月均超标,而在非采暖期均达到国...     

大气颗粒物对A549和HUVECs细胞的毒性作用

比较了A549和HUVECs 2种细胞对颗粒物的敏感度,以探讨大气颗粒物粒径对生物活性的影响. 采集北京市区PM_10～2.5、PM_2.5～0.1和PM_0.1,将A549和HUVECs细胞暴露于不同浓度的颗粒物悬浮液24 h后,用噻唑蓝(MTT)法测定细胞存活率,并用LDH试剂盒测定细胞培养液中LDH(乳酸脱氢酶)的含量. 结果表明:随着染毒剂量的增大,细胞存活率逐渐降低,并且呈剂量-反应关系;培养液中LDH浓度呈剂量依赖型增加;当染毒剂量>200 μg/mL时,PM_0.1的细胞致死率大于PM_10～2.5和PM_2.5～0.1(P<0.01);同一粒径的颗粒物对HUVECs的毒性比A549略大,但无统计意义. 因此,相对于粗颗粒物,细、超细颗粒物具有较大的细胞毒性,A549和HUVECs细胞对颗粒物的敏感度差异不显著.      

德州、北京重污染过程PM2.5中PAHs污染特征及来源分析

为探讨华北地区秋冬季重污染过程PM_2.5（细颗粒物）中PAHs（多环芳烃）的污染水平、分布特征及来源,分别采集2018年11月17日—2019年1月19日德州市和北京市PM_2.5样品,利用气相色谱-质谱法测量两个站点6次重污染过程中26种PAHs浓度水平,分析PAHs污染特征、分子组成分布及其来源,并利用毒性当量因子估算了PAHs毒性.结果表明:①6次重污染过程中,德州站点∑₂₆PAHs浓度为62~191 ng/m3,北京站点为61~129 ng/m3.②单位质量PM_2.5中PAHs的浓度北京站点更高.③两个站点PAHs分子组成分布较为一致,萘、蒽、芴等低分子量的PAHs浓度较低,高分子量PAHs浓度较高,浓度最高的分别为苯并[b]荧蒽、苯并[a]芘、苯并[a]蒽和甲基荧蒽等.④特征比值结果显示,PAHs来源包括柴油车尾气、燃煤和生物质燃烧,德州站点受生物质燃烧影响更为显著.⑤毒性当量计算结果表明,德州站点毒性当量浓度（TEQ）高于北京站点,6次重污染过程中两个站点PAHs的TEQ平均值在6.5~17.2 ng/m3之间,低于国内其他一些地区,但苯并[a]芘的浓度在5.2~13.1 ng/m3之间,超过了GB 3095—2012《环境空气质量标准》日均值的标准限值（2.5 ng/m3）,对人体健康存在潜在危害.研究显示:秋冬季重污染过程中,北京站点单位质量PM_2.5中PAHs的浓度较高,两个点位PAHs分子组成分布特征及来源较为相似,且均对人体健康存在潜在危害;应进一步加强对PAHs浓度水平的控制,这不仅有利于持续改善PM_2.5污染,也有助于减轻人体潜在的健康风险.      

Particle size distribution and removal in the chemical-biological flocculation process

The particle characterization from the influent and effluent of a chemical-biological flocculation (CBF) process was studied with a laser diffraction device. Water samples from a chemically enhanced primary treatment (CEPT) process and a primary sediment tank process were also analyzed for comparison. The results showed that CBF process was not only effective for both the big size particles and small size particles removal, but also the best particle removal process in the three processes. The results also indicated that CBF process was superior to CEPT process in the heavy metals removal. The high and non-selective removal for heavy metals might be closely related to its strong ability to eliminate small particles. Samples from different locations in CBF reactors showed that small particles were easier to aggregate into big ones and those disrupted flocs could properly flocculate again along CBF reactor because of the biological flocculation.     

民用燃煤排放细颗粒中金属元素排放特征及单颗粒分析

通过模拟民用煤炭燃烧,采集了5种不同成熟度的典型块煤燃烧排放的单颗粒和PM_2.5样品.利用带能谱仪的透射电镜研究了金属颗粒的单颗粒特征,运用电感耦合等离子体质谱仪和发射光谱仪获得了PM_2.5样品中14种金属元素（包括8种重金属）的浓度特征.结果显示,民用燃煤排放的含金属元素的颗粒物主要有矿物颗粒、部分碳质颗粒、富K颗粒、富S[K]颗粒、富Fe颗粒、富Zn颗粒和富Pb颗粒共7种.5种民用燃煤排放的14种金属元素占PM_2.5的1.29%~15.54%,其中Al、Ca和Na占金属元素总量的57%~80%,是民用燃煤排放的主要的金属元素;V、Cr、Mn、Co、Ni、Cu、Zn和Pb这8种重金属元素占PM_2.5的0.09%~2.53%,其中Zn和Pb占重金属总量的54%~91%,在民用燃煤排放的重金属中占主导.单颗粒分析结果显示Zn和Pb元素主要富集在粒径小于1μm的富Zn和富Pb颗粒中,这些细颗粒能够直接进入人体,对人体健康造成威胁.因此,建议居民应通过使用精煤或天然气等清洁能源来减少重金属的排放.     

纳米Ni/Fe用于去除染料生产废水二级生物处理出水中AOX和色度的研究

用纳米Ni/Fe材料深度处理染料生产废水的生物处理出水,考察了不同Ni负载量(质量分数0~5%)、废水初始p H值(4.1~10.0)、Ni/Fe投加量(1~5 g·L-1)、反应时间(0.5~96 h)下对可吸附性有机卤代物(absorbable organic halogens,AOX)的去除率和脱色率.结果表明,AOX和色度去除率随Ni负载量的增加先升高后减少,随废水初始p H值的降低和Ni/Fe投加量的增加而持续提高.最优化条件为Ni负载量1%、废水初始p H 4.1和Ni/Fe投加量3 g·L-1,该条件下AOX和色度的24 h去除率分别为29.2%和79.6%,96 h去除率分别为50.6%和80.7%.GC-MS分析表明经材料处理后废水中氯代苯胺类、对硝基苯胺、4-甲氧基-2-硝基苯胺及卤代烷烃等有毒有害物质得到高效去除.     

Characteristics, evolution, and regional differences of biomass burning particles in the Sichuan Basin, China

The Sichuan Basin has experienced serious air pollution from fine particulate matter (PM_2.5) in the past few years with biomass burning has been identified as a major source of PM_2.5 in this region. We used single particle aerosol mass spectrometer to investigate the characteristics of biomass burning particles in three interacting cities representing different types of urban environment in the Sichuan Basin. A total of 739,794, 279,610, and 380,636 biomass burning particles were detected at Ya'an, Guang'an, and Chengdu, which represented 42%, 69%, and 61%, respectively, of the total number of particles. We analyzed the chemical composition, transportation, and evolution of biomass burning particles. The contribution of K-elemental carbon and K-secondary inorganic particles was highest in Ya'an (36%) and Guang'an (47%), respectively, reflecting the important role of fresh biomass burning particles and long-distance transport in these two cities. Air masses originating from different directions corresponded to different levels of PM_2.5 and the contributions of polluted clusters increased significantly on polluted days. Fresh and secondary inorganic biomass burning particles increased pollution at Ya'an and Guang'an, respectively, but dominated different stages of pollution in Chengdu. K-nitrate particles were formed by photochemical reactions, whereas K-sulfate particles were formed by both photochemical and liquid-phase reactions. Investigation of the degree of particle aging showed that there were more fresh particles at Ya'an and more aged particles at Guang'an. These results are useful in helping our understanding of the characteristics of biomass burning particles and evaluating their role in PM_2.5 pollution in the Sichuan Basin.     

南京市大气细颗粒物(PM2.5)中硝基多环芳烃污染特征与风险评估

硝基多环芳烃是大气细颗粒物中具有致癌效应的一类重要污染物,为探明硝基多环芳烃污染特征与来源,采集南京市14个大气细颗粒样品,利用气相色谱-质谱联用仪（GC-MS）测定硝基多环芳烃浓度,进行分布特征分析,来源识别和健康风险评估.结果表明,南京市大气细颗粒物中2,8-二硝基二苯并噻吩（743 pg·m^-3）、2,7-二硝基芴（331 pg·m^-3）、9-硝基蒽（326 pg·m^-3）、3-硝基荧蒽（217 pg·m^-3）和1,8-二硝基芘（193 pg·m^-3）为主要的硝基多环芳烃;硝基多环芳烃检出浓度具有明显的季节变化,冬季最高（3082 pg·m^-3）,秋季其次（1553 pg·m^-3）,春季最低（1218 pg·m^-3）.南京市大气细颗粒物中硝基多环芳烃主要来自多环芳烃大气光氧化反应与生物质燃烧,二次生成是硝基多环芳烃的重要来源.当前南京PM_2.5中硝基多环芳烃的致癌风险可控,二硝基多环芳烃是致癌风险的主要来源.     

武汉冬季大气PM2.5小时分辨率源贡献识别及潜在影响域分析

冬季是我国大气细颗粒物(PM_2.5)污染较为严重的时段,武汉市PM_2.5受到明显的区域传输影响.本研究基于小时分辨率PM_2.5组分观测数据,采用受体模型,解析武汉冬季大气PM_2.5各类源的实时贡献.结合轨迹聚类和浓度权重,识别影响各类源的传输路径和潜在源区.武汉冬季大气平均ρ(PM_2.5)为（75.1±29.2）μg·m^-3.观测期间共有两次污染过程,第一次污染过程主要受西北方向气团影响,水溶性离子升高是PM_2.5呈现高值的主要原因,ρ（NH⁺₄）、ρ（NO^-₃）和ρ（SO■）分别是清洁时段的1.6、 1.7和2.1倍;第二次污染过程则以正东方向气团为主,二次有机组分有明显的生成.对武汉冬季大气PM_2.5贡献最大的是二次源（34.1%）,其次是机动车尾气（23.7%）、燃煤（11.5%）、道路尘（10.9%）、钢铁冶炼（8.7...