固定源细颗粒物稀释测试法现场应用存在问题及影响因素分析研究

对基于大气环境的稀释测试法在现场应用中存在的主要问题进行了归纳总结,并对若干影响细颗粒物测试结果的重要因素进行了分析,诸如停留时间、稀释比、采样时间等因素,期望能够对该法测试系统的后续改进或重新设计提供实际问题导向,同时也能够对该领域现场工作的科研人员提供非常有用的经验。     

皖南地区铜陵市大气颗粒物污染特征及潜在源研究

利用2018年3月—2021年2月环境和气象数据对皖南地区铜陵市大气颗粒物的污染特征和潜在贡献源进行了系统性研究.铜陵市大气颗粒物污染具有明显的季节变化特征,冬季污染物浓度最高,PM_2.5和PM₁₀平均为（60.3±31.0）μg·m^-3和（89.2±42.2）μg·m^-3.计算发现PM_2.5/PM₁₀超过0.5,铜陵市的大气颗粒物污染问题与细颗粒物关系密切.后向轨迹聚类分析表明铜陵市大气颗粒物的输送路径具有季节性差异.春季以西北、东北和西南方向气流为主,占比83.73%;夏季以东南和南部方向气流为主,占比82.90%;秋季以东北气流为主,占比51.00%;冬季则是以北方和西北气流为主,占比69.81%.其中,冬季气流轨迹所对应的PM_2.5和PM₁₀的浓度最高,平均为59.7和92.0μg·m^-3;夏季最低,平均为23.8和43.8μg·m^-3.潜在源贡献因子（WPSC...     

可燃物化学性质对燃烧释放PM2.5元素成分的影响

通过自主设计的燃烧装置,对云南省6种典型乔木树种的不同器官(枝、叶、皮)室内模拟阴、明燃两种燃烧过程,收集燃烧排放颗粒物(PM_2.5)并测定K、Mg等8种元素排放因子,比较不同燃烧状态释放PM_2.5中元素含量的差异,同时分析各元素排放因子与可燃物自身元素含量之间的相关性.结果表明:可燃物中K、Mg和Ca元素含量较高,范围为(137.74~4670.70) mg/kg,微量元素Mn含量突出;阔叶可燃物元素含量普遍高于针叶,器官间元素含量差异显著;燃烧释放PM_2.5中K、Na元素排放因子较高,范围为(0.4269~4.9321)~(0.6311~3.0856) mg/kg,微量元素Zn较高、Cu最少,范围为(0.0409~0.3670)~(0.0029~0.0458) mg/kg,常量元素高于微量;树种间元素排放因子表现针叶高于阔叶,器官间较可燃物自身差异增大;燃烧状态对排放因子存在影响,常量元素普遍表现为明燃>阴燃,微量元素无明显规律;PM_2.5与可燃物各元素含量比值中,Na元素最高,其余元素占比普遍0~1%范围,微量元素含量比高于常量,针叶高于阔叶;可燃物的化学性质对其排放特性影响显著,可燃物与PM_2.5的元素间相关性较高,相关水平普遍达0.600以上,器官间不同元素相关水平表现为:常量元素普遍高于微量元素,针叶略高于阔叶,叶>皮>枝,明燃高于阴燃.     

2021年中国北方首次沙尘天气的多源遥感分析

利用多源遥感数据和NCEP再分析资料,从沙尘源区的地理环境和气候特征出发,对2021年中国北方首次沙尘天气事件每日的大气环流形势以及沙尘的水平,垂直分布特征进行深入的研究分析.结果表明:源区内异常增温,降水稀少的气候背景下致使大面积裸露松散的土壤含水量较低,为大范围,高强度沙尘天气的形成提供了物质基础;频繁活动的冷空气,是沙尘天气爆发的动力因子.沙尘在强风中沿东南方向向下游地区输送和扩散,中国西北,华北,黄淮,江淮,江汉地区和江南北部等地先后受到沙尘天气的影响,空气质量迅速恶化,首要污染物为PM₁₀.此外,沙尘气溶胶东移也波及朝鲜半岛,日本等下游地区.在输送过程中,内陆地区沙尘主要分布在1~6km,而下游地区的沙尘则集中分布在2km高度附近,粒径较大的沙尘出现在近地表的频率较高,较小的颗粒主要分布在对流层中下层.     

2016~2020年上海市PM2.5化学组成特征和来源解析

2016~2020年在上海市区和郊区的6个点位开展了颗粒物系统性观测研究,分析了PM_2.5的质量浓度以及水溶性离子、有机碳/元素碳、无机元素等化学组分,并利用正矩阵因子分解模型对PM_2.5的来源进行了解析。结果表明,上海PM_2.5浓度水平呈现下降趋势,年均质量浓度依次为46,43,37,40,39μg/m³,表现为冬高夏低,西高东低的时空分布特征。有机物在PM_2.5中占比最高(30%~32%),不同年份和季节间的差异较小。二次无机离子(硫酸盐、硝酸盐和铵盐)的区域性特征明显,其中硝酸盐的占比在5a间升高最多,且在冬季污染过程中起到了关键作用。解析得到PM_2.5的来源有9类,分别为二次硝酸盐(30.6%)、二次硫酸盐(20.7%)、机动车(12.6%)、工业(8.0%)、生物质燃烧(7.7%)、扬尘(6.5%)、燃煤(5.8%)、海盐(4.8%)和船舶(3.2%)。机动车和船舶等移动源、秸秆焚烧和烟花爆竹燃放等生物质燃烧源的贡献浓度在研究期间呈现下降趋势,体现了相关治理措施的管控效果。     

民用煤排放PM2.5中碳组分与水溶性离子特征

研究4种典型民用煤燃烧排放PM_2.5中的碳组分以及水溶性离子含量特点,并通过PAM-OFR(潜在气溶胶质量-氧化流动反应器)模拟了大气老化过程(2d)对煤球与烟煤燃烧PM_2.5中碳组分与水溶性离子含量的变化影响。结果表明,烟煤燃放PM_2.5中碳组分含量最高,达到57.96%,其EC含量是其他煤种的4.3~9.6倍。民用煤燃烧产生PM_2.5中水溶性离子以Na⁺与SO₄^2-为主,其在总水溶性离子中占比合计约47%~76%。经历了大气老化试验后,煤球与烟煤燃烧排放PM_2.5中NH₄⁺和NO₃^-离子含量大幅增加,与之相比,TC占PM_2.5比例分别下降了12.03%与19.99%。     

Impact of pre-oxidation on the formation of byproducts in algae-laden water disinfection: Insights from fluorescent and molecular weight

Pre-oxidation has been reported to be an effective way to remove algal cells in water, but the released algal organic matter (AOM) could be oxidized and lead to the increment in disinfection by-product (DBP) formation. The relationship between pre-oxidation and AOM-derived DBP formation needs to be approached more precisely. This study compared the impact of four pre-oxidants, ozone (O₃), chlorine dioxide (ClO₂), potassium permanganate (KMnO₄) and sodium hypochlorite (NaClO), on the formation of nitrogenous (N-) and carbonaceous (C-) DBPs in AOM chlorination. The characterization (fluorescent properties, molecular weight distribution and amino acids concentration) on AOM samples showed that the characterization properties variations after pre-oxidation were highly dependent on the oxidizing ability of oxidants. The disinfection experiments showed that O₃ increased DBP formation most significantly, which was consistent with the result of characterization properties variations. Then canonical correspondent analysis (CCA) and Pearson's correlation analysis were conducted based on the characterization data and DBP formation. CCA indicated that C-DBPs formation was highly dependent on fluorescent data. The formation of haloacetic acids (HAAs) had a positive correlation with aromatic protein-like component while trichloromethane (TCM) had a positive correlation with fulvic acid-like component. Pearson's correlation analysis showed that low molecular weight fractions were favorable to form N-DBPs. Therefore, characterization data could provide the advantages in the control of DBP formation, which further revealed that KMnO₄ and ClO₂ were better options for removing algal cells as well as limiting DBP formation.     

An integrative analysis of miRNA and mRNA expression in the brains of Alzheimer's disease transgenic mice after real-world PM2.5 exposure

Fine particulatematter (PM2.5) is associated with increased risks of Alzheimer’s disease (AD),yet the toxicologicalmechanisms of PM2.5 promoting AD remain unclear. In this study,wildtype and APP/PS1 transgenic mice (AD mice) were exposed to either filtered air (FA) or PM2.5 for eight weeks with a real-world exposure system in Taiyuan, China (mean PM2.5 concentration in the cage was 61 μg/m3). We found that PM2.5 exposure could remarkably aggravate AD mice’s ethological and brain ultrastructural damage, along with the elevation of the pro-inflammatory cytokines (IL-6 and TNF-α), Aβ-42 and AChE levels and the decline of ChAT levels in the brains. Based on high-throughput sequencing results, some differentially expressed (DE) mRNAs and DE miRNAs in the brains of AD mice after PM2.5 exposure were screened.Using RT-qPCR, seven DEmiRNAs (mmu-miR-193b-5p, 122b-5p, 466h-3p, 10b-5p, 1895, 384–5p, and 6412) and six genes (Pcdhgb8, Unc13b, Robo3, Prph, Pter, and Tbata) were evidenced the and verified. Two miRNA-target gene pairs (miR-125b-Pcdhgb8 pair and miR-466h-3p-IL-17Rα/TGF-βR2/Aβ-42/AChE pairs) were demonstrated that they were more related to PM2.5-induced brain injury. Results of Gene Ontology (GO) pathways and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways predicted that synaptic and postsynaptic regulation, axon guidance, Wnt, MAPK, and mTOR pathways might be the possible regulatory mechanisms associated with pathological response. These revealed that PM2.5- elevated pro-inflammatory cytokine levels and PM2.5-altered neurotransmitter levels in AD mice could be the important causes of brain damage and proposed the promising miRNA andmRNA biomarkers and potentialmiRNA-mRNA interaction networks of PM2.5-promoted AD.     

乌鲁木齐树木叶片汞浓度时空特征及环境意义

城市大气环境由于受人为活动影响,具有较高大气汞浓度和时空分布不均一特征。植被叶片虽具有较强富集大气汞的能力,但能否指示城市大气汞时空变化,目前尚有存疑。本文通过连续监测新疆乌鲁木齐市区内6个采样点5种常见树种叶片,在生长季（2019年5～10月）内的汞浓度,分析树叶汞浓度的时空分布变化特征,进而寻找潜在的最优树种叶片,反演乌鲁木齐大气汞污染程度。结果表明,城市内的局地污染能够显著提高叶片汞浓度;树种叶片对大气汞浓度的敏感性存在明显差异（P<0.01）;落叶阔叶树的叶汞浓度与叶片生长时间呈显著正相关关系（P<0.01）,即叶片在整个生长期不断积累大气汞;而针叶汞浓度一年之内与生长时间无显著关系。考虑到圆冠榆叶片对大气汞浓度敏感性较高且分布范围更广,圆冠榆作为乌鲁木齐城市大气汞的生物监测器较为合适。本研究为研究城市大气汞浓度生物监测提供了典型的案例与借鉴。     

再生铜冶炼过程中重金属排放特征和控制

再生铜冶炼是重要的重金属排放源,为掌握再生铜冶炼过程中重金属的排放特征和控制效果,通过固定源等速采样装置采集不同冶炼阶段的烟气样品,利用电感耦合等离子体质谱仪测定烟气和飞灰中重金属的浓度,并估算重金属的排放因子.结果表明,在冷却阶段烟气中重金属和颗粒物的浓度较高,经过布袋除尘器和吸附塔等污染控制装置后,重金属和颗粒物被协同脱除,脱除效率达80%～99%.排放烟气中重金属的浓度在阳极炉不同工艺段中的排序为：加料熔融段>氧化段≈还原段,且As、 Pb、 Cr、 Sn、 Sb和Cd的平均排放因子分别为2.6×10³、2.4×10³、2.7×10³、5.6×10²、34.1和9.8 mg·t^-1,烟气中重金属和颗粒物的浓度均满足行业排放标准.飞灰中Cu和Zn的浓度较高,具有回收利用价值.