北京地区秋冬季大气污染特征及成因分析

为了研究近两年北京地区PM2. 5污染特征及成因变化,利用常规观测资料和改进的后向轨迹模型(Traj Stat)对2016～2017年秋冬季大气重污染时段的颗粒物浓度、气象要素和气团传输路径进行了综合分析.结果表明,研究期间北京地区共发生13次持续2 d以上的重污染事件,冬季过程约占61. 5%,且污染程度和持续时间均高于秋季.地面受弱气压场控制、高湿度、静小风以及较低的混合层高度,加之北京三面环山的特殊地势是导致秋冬季静稳型污染频发的重要因素,重污染期间PM2. 5/PM10的平均比值高达0. 86.累积阶段气团主要来自于西北、偏西、西南和东南方向,其中西南和东南路径为典型污染传输通道,轨迹频率为21. 6%.此外,采用WRF-CAMx模型定量估算了2016年12月16～22日典型过程中本地和外来污染源对北京PM2. 5的贡献,结果发现不同气团输送条件下,二者的贡献差异较大.当南部气团输入时,本地贡献会显著下降,以外部区域输送为主导;若气流来自西北方向情况则相反.污染过程期间,本地贡献为16. 5%～69. 3%.     

中国北方某市城市绿地土壤重金属空间分布特征、污染评价及来源解析

为掌握北方某市城市中心区绿地土壤环境状况,对其中心区城市绿地土壤重金属（Cd、Hg、As、Pb、Cu、Cr、Zn和Ni）的空间分布、来源及污染现状进行分析和评价.结果表明,该市中心区的城市绿地土壤环境质量整体良好.土壤重金属Cd、Hg、As、Pb、Cr、Cu、Zn和Ni的含量均值分别为：0.172、0.202、9.02、34.7、57.0、31.2、85.7以及26.3mg·kg^-1.Cd、Hg、Pb和Zn平均含量均超过同为北方地区的京津唐土壤背景值.所有点位各项重金属含量均不超过国家建设用地土壤污染风险管控标准的污染风险筛选值.空间上,As、Cr和Ni含量高值出现于西北部;Cd和Zn含量高值出现于东北部;Hg、Pb和Cu的高值区集中在城市核心区.对于不同土地利用类型土壤,Cd、Zn和Ni在企业绿地土壤中含量显著高于其他元素,Hg、Pb和Cu等在公园绿地和居民绿地土壤中含量较高.土壤污染评价结果表明,97.2%的样点内梅罗综合污染指数小于1,为清洁土壤;所有样点潜在生态风险指数均小于80,属轻微生态风险水平.多元统计分析表明,Cu、Pb和Hg为人为源,与古建筑保护的彩绘以及对古树保护采用杀虫剂有关;Cr为自然源,可能来源于土壤母质和地球化学过程;Cd、Zn、Ni和As为混合来源,部分可能来源于人类活动和工业生产,另一部分来源于岩石的风化和土壤母质等.利用受体模型对超标元素进行来源定量解析,Cd按来源贡献率高低依次为源2（占46.1%）、源3（占33.1%）、源1（17.7%）和其他源（占3.1%）;Cu源贡献率主要为源1（占93.0%）;Zn源贡献率依次为源1（占52.4%）、源3（占24.2%）、源2（占20.0%）以及其他源（占3.4%）;Ni源贡献率依次为源1（占56.3%）、源2（占37.8%）以及源3（占5.8%）.推测源1和源3为人为源,源2为自然来源.     

不同构型富氮生物炭对Pb (II)和Cr (VI)的作用机制

为了明确不同构型富氮生物炭对重金属的作用机理,本研究以玉米秸秆为生物质,通过尿素改性结合高温热解制备了3种不同氮构型的富氮生物炭（以吡咯氮为主的Pr-NBC、吡啶氮为主的Pd-NBC和石墨氮为主的Gp-NBC）,考察其对典型重金属的作用行为.吸附动力学和吸附等温线等实验结果显示：富氮生物炭对Pb （II）和Cr （VI）的吸附均以化学吸附为主,且存在明显的差异;对Pb （II）的吸附容量与溶液离子强度成正比,吸附可能以形成内层络合物为主,对Cr （VI）的作用则包含吸附和还原两个过程;对两种重金属的吸附容量受pH影响较大,静电吸引作用可能是主要驱动力.吸附前后的材料表征显示：富氮生物炭主要通过静电吸引作用、阳离子交换、沉淀作用和阳离子-π键作用吸附Pb （II）,通过静电吸引作用吸附Cr （VI）,同时能将Cr （VI）还原为Cr （III）.不同构型氮与重金属作用机理存在差异,其中,石墨氮主要通过与Pb （II）形成阳离子-π键作用促进吸附,吡咯氮和吡啶氮具有还原性,可将Cr （VI）转化为Cr （III）,实现减毒.因此,在考察自然环境中富氮生物炭对重金属的作用机制时,应当充分考虑氮构型的影响.     

抚河南昌段重金属空间分布特征及来源分析

为分析抚河南昌段流域水体中重金属空间分布特征及可能来源,2019年08月在抚河南昌段共采集了23个地表水样及8个地下水样,对水体中的重金属V、Mn、Ba、Fe、Sr、Zn及类金属元素As进行了测定.结果表明,水体中不同重金属空间分布特征总体趋势一致,即中下游地区高于上游地区,污染特征空间差异性为中等及以上.地表水中V、Fe、Mn的平均浓度超过《地表水环境质量标准》（GB3838-2002）集中式生活饮用水特定项目标准限值;地下水中类金属元素As平均浓度超过《地下水质量标准》（GBT14848-2017）Ⅲ类水质标准.多元统计分析表明Sr、Ba、Mn可能主要来源于人类生产、生活污染物的排放,Fe、V、Zn可能主要来源于农业渔业及交通污染,类金属元素As主要来源于沿岸及河流底部淤泥及岩石碎屑.     

基于二次铝灰的地聚反应稳固化垃圾飞灰

基于工业生产铝过程中回收的二次铝灰（SAD）的地质聚合反应,提出了一种稳固化城市生活垃圾焚烧飞灰（MSWIFA）的新方法,分析硅铝物质的量之比对飞灰中重金属浸出浓度及地聚物固化体力学性能的影响规律.结果表明,当硅铝物质的量之比小于2.5时,二次铝灰-SiO₂基固化体与偏高岭土-SiO₂基固化体中的重金属浸出浓度均随着硅铝物质的量之比的增加而逐渐降低,2种固化体的抗压强度随着硅铝物质的量之比的增加而增加;硅铝物质的量之比达到2.5时,重金属的浸出浓度与固化体的抗压强度均趋于稳定.XRD分析结果显示,偏高岭土-SiO₂基固化体中聚合物的种类与数量均略高于二次铝灰-SiO₂基固化体.但从重金属的浸出浓度与固化体的抗压强度来看,2类固化体对飞灰中重金属的稳固化效果的差别很小,二次铝灰加上部分硅基材料可以作为偏高岭土的替代品,用于稳固化飞灰重金属的地质聚合反应中.二次铝灰-SiO₂基固化体的抗压强度达到13.65MPa,具备一定的力学性能,可用于部分特定的建筑材料.     

氯化剂对超细颗粒物与重金属共生成特性的影响

以循环流化床反应器为实验平台,研究了焚烧温度为850℃下添加剂（NH₄Cl和KCl）对超细颗粒物与重金属共生成特性的影响.结果表明：NH₄Cl和KCl的存在均会降低超细颗粒物的数量浓度,但KCl的效果更佳,发挥的是阶梯式或者协同式作用.此外,添加比例为3%时对超细颗粒物数量浓度的降低最为明显.重金属Cr,Mn,Ni主要通过夹带方式形成超细颗粒物;而重金属Pb,Cu,Zn则主要通过蒸发、冷凝和吸附方式累积在超细颗粒物中.无机氯在焚烧过程中可以作为颗粒之间良好的粘合剂,促进超细颗粒物之间的成长和团聚,同时促进其表面形态的生长.此外,K的存在会促进细模态颗粒物之间的凝聚成长,使得细模态颗粒物的峰值增大,而NH₄⁺的存在会降低粗模态颗粒物的峰值.本研究可为污泥等废物热处理过程中重金属与超细颗粒物的协同控制提供借鉴.     

Co-metabolic and biochar-promoted biodegradation of mixed PAHs by highly efficient microbial consortium QY1

Polycyclic aromatic hydrocarbons (PAHs), typical representatives of the persistent organic pollutants (POPs), have become ubiquitous in the environment. In this study, a novel microbial consortium QY1 that performed outstanding PAHs-degrading capacity has been enriched. The degradation characteristics of single and mixed PAHs treated with QY1 were studied, and the effect of biochar on biodegradation of mixed PAHs and the potential of biochar in PAHs-heavy metal combined pollution bioremediation were also investigated. Results showed that, in single substrate system, QY1 degraded 94.5% of 500 mg/L phenanthrene (PHE) and 17.8% of 10 mg/L pyrene (PYR) after 7 days, while in PHE-PYR mixture system, the biodegradation efficiencies of PHE (500 mg/L) and PYR (10 mg/L) reached 94.0% and 96.2%, respectively, since PHE served as co-metabolic substrate to have significantly improved PYR biodegradation. Notably, with the cooperation of biochar, the biodegradations of PHE and PYR were greatly accelerated. Further, biochar could reduce the adverse impact of heavy metals (Cd²⁺, Cu²⁺, Cr₂O₇^2?) on PYR biodegradation remarkably. The sequencing analysis revealed that Methylobacterium, Burkholderia and Stenotrophomonas were the dominant genera of QY1 in almost all treatments, indicating that these genera might play key roles in PAHs biodegradation. Overall, this study provided new insights into the efficient bioremediation of PAHs-contaminated site.     

The concentration and probabilistic risk assessment of potentially toxic elements in fillets of silver pomfret (Pampus argenteus): A global systematic review and meta-analysis

The contamination of fish type products such as silver pomfret fish fillets by potentially toxic elements (PTEs) has raised global health concerns. Related studies regarding the concentration of PTEs in fillets of silver pomfret fish were retrieved among some international databases such as Scopus, PubMed and Embase between 1 January 1983 and 10 March 2020. The pooled (mean) concentration of PTEs in fillets of silver pomfret fish was meta-analyzed with the aid of a random-effect model (REM). Also, the non-carcinogenic risk was estimated via calculating the 95th percentile of the total target hazard quotient (TTHQ). The meta-analysis of 21 articles (containing 25 studies or data reports) indicated that the ranking of PTEs in fillets of silver pomfret fish was Fe (11,414.81 µg/kg wet weight, ww) > Zn (6055.72 µg/kg ww) > Cr (1825.79 µg/kg ww) > Pb (1486.44 µg/kg ww) > Se (1053.47 µg/kg ww) > Cd (992.50 µg/kg ww) > Ni (745.23 µg/kg ww) > Cu (669.71 µg/kg ww) > total As (408.24 µg/kg ww) > Co (87.03 µg/kg ww) > methyl Hg (46.58 µg/kg ww). The rank order of health risk assessment by country based on the TTHQ for adult consumers was Malaysia (2.500) > Bangladesh (0.886) > Iran (0.144) > China (0.045) > Pakistan (0.020) > India (0.015), while the corresponding values for child consumers was Malaysia (11.790) > Bangladesh (4.146) > Iran (0.675) > China (0.206) > Pakistan (0.096) > India (0.077). The adult consumers in Malaysia and children in Malaysia and Bangladesh were at considerable non-carcinogenic risk. Therefore, following the recommended control plans in order to reduce the health risk associated with the ingestion of PTEs via consumption of silver pomfret fish fillets is crucial.     

天津海域底质重金属分布与矿物质特征研究

文中研究了渤海湾天津海域沉积物中重金属的空间分布特征,在此基础上进行了元素间的相关分析,以进一步分析元素间共同的分布趋势;同时对该海域表层沉积物矿物组合做了分析。结果表明,沉积物重金属平面分布特征总体上表现为河口附近含量高,口外低的趋势;垂直分布特征由于受沿岸不同污染源的污染影响,重金属污染物难以形成一定规律的分布状态,总体上呈波折型分布;该海域各重金属相关性非常明显,反映了这些重金属元素间共生共存的地球化学特性;渤海表层沉积物中含有5%的闪石和白云石,闪石和白云石是渤海湾沉积物的重要标志矿物;渤海湾表层沉积物中粘土矿物组合为伊利石和绿泥石,其平均含量分别为56%和44%。     

Estimation of atmospheric trace metal emissions in Vilnius City, Lithuania, using vertical concentration gradient and road tunnel measurement data

A new approach for the estimation of trace metal emissions in Vilnius city was implemented, using vertical concentration profiles in the urban boundary layer and road tunnel measurement data. Heavy metal concentrations were examined in fine and coarse particle fractions using a virtual impactor (cut-off size diameter 2.5 μm). Negative vertical concentration gradients were obtained for all metals (Ba, Pb, V, Sb, Zn) and both fractions. It was estimated that the vertical concentration gradient was formed due to emissions from an area of about 12 km². Road tunnel measurements indicated that trace metal concentrations on fine particles were lower than those on coarse particles, which suggested that re-emitted road dust was highly enriched in trace metal due to historic emissions within the tunnel. Emission rates of different pollutants in the road tunnel were calculated using pollutant concentration differences at the tunnel entrance and exit and traffic flow data. Heavy metal emission rates from the area of Vilnius city were estimated using the vertical gradient of heavy metal concentrations and the coefficient of turbulent mixing, as derived from meteorological measurement data. The emission values calculated by the two different methods coincided reasonably well, which indicated that the main source of airborne trace metals in Vilnius city is traffic. The potential of the vertical concentration gradient method for the direct estimation of urban heavy metal emissions was demonstrated.