我国大气细颗粒物中金属污染特征及来源解析研究进展

以PM2.5中金属元素为研究对象,综述了2000—2012年我国在PM2.5中金属的污染水平、时空分布特征、污染来源解析方法及应用等领域的研究进展.目前我国普遍面临严重的PM2.5污染,作者提出应系统开展我国PM2.5中金属污染研究,特别要加强针对农村及背景地区的研究;开展PM2.5中金属的迁移转化机理研究;加快建立污染源排放清单;加强区域污染传输特征研究,以便更好地开展PM2.5的来源解析,为环境管理部门制定大气重金属污染控制目标提供参考.     

济南市钢铁集聚区大气细颗粒物中碳组分污染特征

为分析钢铁集聚区大气细颗粒物(PM_2.5)中碳组分的污染特征,对济南市钢铁集聚区和市区秋季(2020年10月15日至2020年10月24日)、冬季(2020年12月18日至2021年1月7日)和春季(2021年4月23日至5月2日)环境空气中PM_2.5进行手工采样,利用热光碳分析仪测定了PM_2.5中有机碳(OC)和元素碳(EC)的含量.结果表明,钢铁集聚区秋季OC和EC质量浓度范围分别为5.79—12.56μg·m^-3和1.34—3.44μg·m^-3;冬季OC和EC质量浓度范围分别为3.92—55.54μg·m^-3和0.38—11.39μg·m^-3;春季OC和EC质量浓度范围分别为2.14—4.70μg·m^-3和0.19—1.33μg·m^-3,呈现显著的季节变化,表现为冬季>秋季>春季.钢铁集聚区冬季PM_2.5中OC和EC占比最高,分别为28.11%和5.3...     

细颗粒物(PM_(2.5))主要组分模拟溶液对发光细菌的光抑制分析

为明确NH_4~+、 NO_3~-、SO_4~(2-)及金属等组分在水溶性提取液对发光细菌的光抑制过程中所起的作用,参照PM_(2.5)样品提取液浓度,模拟配制与3级以上PM_(2.5)样品提取液中主要组分:硫酸盐、硝酸盐、氨盐相同浓度的溶液,同时选取与PM_(2.5)可溶性提取液发光抑制率相关性较强的铅、锌,配制不同浓度级别模拟溶液,测试各单一组分对发光细菌的发光抑制率及其混合溶液对发光细菌的联合影响效应。基于毒性单位法(TU)、相加指数法(AI)和混合毒性指数法(MTI)评价了混合体系联合影响的作用类型。结果表明,与3~6级PM_(2.5)可溶性提取液中硫酸氨、硫酸氢氨、硝酸氨、硫酸锌和硝酸铅浓度相同的模拟溶液对发光细菌的发光没有抑制作用。不同的评价方法对PM_(2.5)主要组分混合体系联合效应评价结果具有较好的一致性,硫酸氨、硝酸氨、硫酸氢氨混合溶液中,对发光细菌的光抑制均为硫酸氢氨的独立作用,硫酸锌与硝酸铅的混合体系,锌和铅对发光细菌的联合影响效应表现为协同,硫酸氨、硝酸氨、硫酸氢氨与硫酸锌、硝酸铅的多元混合体系呈现协同作用。     

川南四座城市PM2.5化学组分污染特征及其源解析

为探究川南地区大气气溶胶中化学组分与来源特征,于2015年9月—2016年8月在四川盆地南部4个典型代表城市(泸州、内江、宜宾、自贡)采集了226个PM_2.5样品,对PM_2.5的质量浓度和主要化学组分(水溶性离子和碳质组分)进行测定,并利用颗粒物源解析受体模型对PM_2.5来源进行解析.结果表明:川南地区PM_2.5日均浓度为46.4—68.0μg·m^-3,均高于国家环境空气质量标准年均PM_2.5限值(35.0μg·m^-3).OC、EC和水溶性二次离子(SO₄^2-、NO₃-和NH₄+)分别占PM_2.5质量的15.7%—22.8%、4.2%—6.4%和28.6%—55.8%.PM_2.5及其主要化学组分浓度有显著的季节变化,即冬季浓度显著高于其他季节,夏季浓度最低.泸州除夏季外,其他季节SO₄2-、NO₃-同源性较好;其他城市在冬季,SO₄2-、NO₃-同源性较好.NH₄+主要存在形式为NH₄NO₃、(NH₄)2SO₄、NH₄HSO₄.OC、EC来源复杂,主要为机动车源、煤燃烧源和生物质燃烧源.川南地区PM_2.5的来源主要受8种因子影响,按总体贡献排序依次为:二次硫酸盐、生物质燃烧、工业源、二次硝酸盐、机动车源、煤燃烧、道路尘埃和建筑尘埃.此外,相比较而言,机动车源贡献在泸州市较凸显,煤燃烧源贡献在宜宾市较凸显.     

嘉善冬季PM2.5化学组分特征及来源分析

为研究嘉兴地区嘉善冬季污染时段和清洁时段PM_2.5化学组分特征,结合气象数据对2019年1月嘉兴市嘉善县善西超级站在线自动监测PM_2.5及化学组分数据、气态污染物(NO₂和SO₂)进行了分析.结果表明,2019年1月嘉善善西超级站污染时段PM_2.5浓度(97.18μg·m^-3)为清洁时段(36.77μg·m^-3)的2.6倍.污染时段水溶性离子浓度(41.58μg·m^-3)较清洁时段(19.82μg·m^-3)高21.76μg·m^-3,但占比有所降低,含碳组分比例增加.OC;EC比值为3.93,可能受到燃煤及机动车排放的共同影响.低风速及高湿有利于NO₂和SO₂等气态污染物进行二次转化,污染时段硫转化率和氮转化率均比清洁时段高,分别增高7.93%和54.11%,说明NOx向硝酸盐二次转化较为明显,导致颗粒物浓度升高.聚类分析结果显示67.34%气流来自北方,且相应的气流轨迹上污染物浓度比周边高,说明污染物存在一定的长距离输送.结合风玫瑰图可以看出,污染主要为本地及其周边的输送,污染物的长距离输送在短时会使污染浓度突增.因此,在重点关注本地及周边污染的同时,偏北气流下的污染物区域输送不可忽视.     

VOCs、细菌及颗粒物混合暴露致小鼠学习记忆障碍机制研究

室内空气污染的现状是多种污染源共存,挥发性有机物(volatile organic compounds, VOCs)、细菌及颗粒物等是典型室内空气污染物。神经行为学毒性是室内空气污染引起的敏感毒性作用之一。为了探讨VOCs、细菌及颗粒物混合暴露对小鼠学习记忆能力的影响及机制,选用雄性昆明小鼠70只,随机分为对照(G1)和2～7(G2～G7)号染毒组。采用水迷宫和抓力仪测定小鼠的学习记忆潜伏期和抓力,染毒结束后测定全脑中活性氧(ROS)、丙二醛(MDA),神经递质谷氨酸(Glu)、乙酰胆碱(Ach)含量以及胆碱能系统的乙酰胆碱转移酶(ChAT)和乙酰胆碱酯酶(TChE)活力,同时分析脑源性神经营养因子(BDNF)、胶质细胞神经营养因子(GDNF)及神经生长因子(NGF)的水平。结果显示,第6天,G5、G6及G7小鼠的抓力、逃避潜伏期及在原平台所在象限的探索时间较对照组存在显著差异,并且伴有ROS、MDA含量的显著升高,Glu含量的显著升高,Ach含量、ChAT及TChE活力的显著降低,以及神经营养因子的显著下调(P<0.05或P<0.01)。研究结果表明,VOCs、颗粒物及细菌混合暴露能够导致小鼠学习记忆障碍,混合暴露引起的氧化损伤诱导的神经兴奋或抑制性毒性作用,以及神经营养因子沿轴突逆向传递降低或中断两方面作用导致神经递质产生和释放异常,进而引起学习记忆能力降低。     

中国典型沿海城市冬季PM2.5中碳组分的污染特征及来源解析

为研究中国典型沿海城市冬季PM_2.5中碳组分的污染特征及来源,于2018年12月5日—2019年1月30日分别在天津(TJ)、上海(SH)和青岛(QD)同步采集PM_2.5样品。结果表明,天津、上海和青岛PM_2.5的平均浓度分别为(116.96±66.93)、(31.21±25.62)、(74.93±54.60)μg·m^-3,OC和EC的空间分布均为天津(18.69±7.95)μg·m^-3和(4.98±2.08)μg·m^-3>青岛(16.45±8.94)μg·m^-3和(2.01±1.04)μg·m^-3>上海(7.28±3.11)μg·m^-3和(1.05±1.25)μg·m^-3。3个站点的OC和EC均呈现较好的相关性,表明OC和EC具有相似的来源;OC/EC比值范围在2.37—7.53、5.47—46.41和4.77—13.36之间,证明各采样点均存在二次有机碳(SOC)的生成;采用最小R²法(MRS)估算SOC浓度,得到3个采样点SOC的平均质量浓度为(5.09±4.68)、(3.90±1.65)、(4.21±4.31)μg·m^-3,分别占OC总量的27.2%、55.8%和19.5%,其中上海的SOC在OC中的占比最大,说明上海二次有机碳污染较为严重,这主要归因于冬季严重污染源排放和有利的二次转化气象条件,而天津和青岛的碳组分主要来自污染源的直接排放。主成分分析(PCA)结果发现,天津PM_2.5中碳组分主要来源于道路尘、生物质燃烧和机动车尾气,上海PM_2.5中碳组分主要来源于生物质燃烧、道路扬尘和机动车尾气。青岛PM_2.5中碳组分主要来源于道路扬尘、机动车尾气。后向轨迹聚类分析表明,来自西北方向的气团对天津的影响较大,PM_2.5和碳组分的浓度值最大;而对上海而言,主要受北方气溶胶经过海面又传输回上海的气团的影响;青岛站点主要受华北地区污染物和本地排放源的影响。     

Concentration,sources, influencing factors and hazards of heavy metals in indoor and outdoor dust: A review

Environmental Chemistry Letters - Heavy metals are a common class of toxic contaminants in soil, water and air, yet their occurrence in indoor environments is less known. Heavy metals enter...     

Collaborative control of fine particles and ozone required in China for health benefit

● Increased DAAO offsets 3/4 of the decrease of DAAP in 2013–2020. ● DAAO increases are mainly due to O₃ concentration increase and population aging. ● Health benefit from PM_2.5 reduction after 2017 is larger than that before 2017. ● Reducing PM_2.5 concentration by 1% results in 0.6% reduction of DAAP. ● Reducing O₃ concentration by 1% results in 2% reduction of DAAO. PM_2.5 concentration declined significantly nationwide, while O₃ concentration increased in most regions in China in 2013–2020. Recent evidences proved that peak season O₃ is related to increased death risk from non-accidental and respiratory diseases. Based on these new evidences, we estimate excess deaths associated with long-term exposure to ambient PM_2.5 and O₃ in China following the counterfactual analytic framework from Global Burden Disease. Excess deaths from non-accidental diseases associated with long-term exposure to ambient O₃ in China reaches to 579 (95% confidential interval (CI): 93, 990) thousand in 2020, which has been significantly underestimated in previous studies. In addition, the increased excess deaths associated with long-term O₃ exposure (234 (95% CI: 177, 282) thousand) in 2013–2020 offset three quarters of the avoided excess deaths (302 (95% CI: 244, 366) thousand) mainly due to PM_2.5 exposure reduction. In key regions (the North China Plain, the Yangtze River Delta and the Fen-Wei Plain), the former is even larger than the latter, particularly in 2017–2020. Health benefit of PM_2.5 concentration reduction offsets the adverse effects of population growth and aging on excess deaths attributed to PM_2.5 exposure. Increase of excess deaths associated with O₃ exposure is mainly due to the strong increase of O₃ concentration, followed by population aging. Considering the faster population aging process in the future, collaborative control, and faster reduction of PM_2.5 and O₃ are needed to reduce the associated excess deaths.     

Seasonal concentrations of lead in outdoor and indoor dust and blood of children in Riyadh,Saudi Arabia

Because detrimental effects of exposure to lead (Pb) on human health have been observed, we previously investigated concentrations of Pb in water supplies and blood of adult residents of Riyadh, Saudi Arabia. The objectives of the present study were to: (1) examine seasonal rates of deposition of Pb in dust in several areas of Riyadh city, (2) measure concentrations of Pb in both outdoor and indoor dust, (3) compare concentrations of Pb in dust in Riyadh with those reported for other cities, and (4) quantify Pb in blood of children living in Riyadh. Mean, monthly deposition of PB in outdoor dust was 4.7 × 10¹ ± 3.6 tons km^?2, with a mean Pb concentration of 2.4 × 10² ± 4.4 × 10¹ μg/g. Mean, monthly deposition of Pb in indoor dust was 2.7 ± 0.70 tons km^?2, with a mean concentration of 2.9 × 10¹ ± 1.5 × 10¹ μg Pb/g. There was a significant (P < 0.01) correlation between concentrations of Pb in outdoor and indoor dust. There was no correlation between concentrations of Pb in indoor dust and that in blood of children of Riyadh, whereas there was a weakly significant (P < 0.05) correlation between concentrations of Pb in outdoor dust and that in blood of children. The mean (±SD) concentration of Pb in blood of children in Riyadh was 5.2 ± 1.7, with a range of 1.7–1.6 × 10¹ μg/dl. Concentrations of Pb in blood of 17.8 % of children in Riyadh were greater than 10 μg/dl, which is the CDC’s level of concern.     

辽宁西南典型城市冬季大气细颗粒物水溶性无机离子污染特征及来源解析

本研究于2018年12月3日-2019年1月1日在辽宁省西南典型城市葫芦岛市和朝阳市分别布设3个城区采样点,在区域传输点龙屯水库布设1个采样点,采集大气细颗粒物PM2.5样品(n=201).使用离子色谱检测样品中的Na+、Mg2+、Ca2+、K+、NH4+、SO42-、F-、Cl-和NO3-的质量浓度.观测期间PM2....     

中国汞污染的来源、成因及控制技术路径分析

汞是一种能长期存在于环境且具有全球迁移性的污染物.汞污染防治是一个复杂的系统工程,涉及多部门、多领域、多行业,国家需要在政策、管理和技术等方面采取综合的战略措施推进汞污染防治.本文基于汞污染的环境和社会影响,分析了中国汞污染的来源、成因并评估了中国汞管理体系,结合中国参加全球汞公约谈判的特定背景,识别出汞污染防控的优先行业,包括汞的无意排放优先控制行业:燃煤、有色金属冶炼、汞矿开采和含汞废物处理;汞的有意使用优先控制行业:电石法聚氯乙烯生产,医疗产品、荧光灯和电池生产.本文也进一步提出了汞污染控制技术路径,包括构建汞风险管理和识别平台、完善汞管理体系、加强环境技术研发、推进绿色转型、保护环境和公众健康等.     

祁连山青海云杉群落物种组成及α多样性垂直分布

通过对祁连山自然保护区青海云杉群落物种组成及α多样性垂直分布格局的研究,结果表明：祁连山自然保护区青海云杉群落内有维管植物25科51属96种,其中乔木4种,灌木29种,草本62种;植物种相对集中分布于海拔2 680～2 890 m的阴坡;随海拔梯度升高,群落内植物种数减少,且相邻样地的共有种数呈不明显的先减少而后增加的趋势,Margalef指数、Shannon-Wiener指数和Pielou指数呈降低趋势;不同林型的植物种的丰富度依次为：青海云杉混交林〉草类-青海云杉林〉苔藓-青海云杉林〉灌木-青海云杉林〉马先蒿-青海云杉林。     

Urban expansion of oasis cities between 1990 and 2007 in Xinjiang,China

An oasis is not only the most concentrated area of human activity in an arid area but also the largest area where artificial disturbances occur at a regional scale. The study of oasis urban expansion and related factors is important to understand the development of cities in arid areas, guide the evolution of rational urban expansion and promote sustainable development of oasis cities. Although there have been several studies on urban expansion in Xinjiang over past decades, a lack of quantitative data and methods impedes further research. In this paper, urban expansion of the studied area in 1990, 2000 and 2007 is evaluated using 39 Landsat satellite images, a geographical information system (GIS) and remote sensing (RS). We also analyse the related factors of urban expansion using quantitative and qualitative methods. We found that economic development and the area of the urban administrative region greatly effect urban expansion. Too rapid growth and outward urbanized expansion paradigms should not be applied blindly in arid areas from the point of view of sustainability. Historic–geographic features of oases and urban planning influence oasis urban morphology. Compact urban morphology is relatively better for protecting precious water and arable resources, and reducing ecology damage to the surrounding oasis. The relationship between urban expansion and population growth was not coordinate before 2000, and effectively only improved after that date. City growth should be moderated, with lower elastic coefficients, slower expansion and higher elasticity coefficients. Oasis cities in Xinjiang are expanding under the combined effects of urbanization, economic development, transportation, environment, resources, policy and planning.     

Long-term trends of fine particulate matter and chemical composition in the Pearl River Delta Economic Zone (PRDEZ), China

Understanding the trends in PM_2.5 levels is essential for formulating clean air plans. This paper analyzes PM_2.5 data from various published sources for the years 2000 to 2010 in the Pearl River Delta Economic Zone (PRDEZ). The long-term variation in PM_2.5 mass concentration is analyzed. Results show that PM_2.5, organic carbon (OC), elemental carbon (EC), and SO42− show a similar trend, increasing before 2005 and then decreasing slightly. The annual average PM_2.5 concentration ranges from 49.1 μg·m⁻³ in 2000 to 64.3 μg·m⁻³ in 2010, with a peak of 84.1 μg·m⁻³ in 2004. None of these 11 years meets the new National Ambient Air Quality standard (NAAQS) for PM_2.5 (35 μg·m⁻³). Overall average concentrations of OC, EC, and SO42− are 13.0, 6.5, and 11.8 μg·m⁻³, respectively. NO3− and NH4+ respectively have concentrations of 1.5 μg·m⁻³ and 2.9 μg·m⁻³ in 2000 and 6.4 μg·m⁻³ and 5.3 μg·m⁻³ in 2010, with a statistically significant average annual trend of+ 0.2 μg·m⁻³·yr⁻¹ and+ 0.1 μg·m⁻³·yr⁻¹. In certain geographic regions, OC and EC contribute most of the PM_2.5, while in other regions secondary water-soluble ions are more important. In general, OC and SO42− are the dominant components of PM_2.5, contributing 20.6% and 18.6%, respectively. These results provide, for the first time, a better understanding of the long-term PM_2.5 characteristics and trends, on a species-by-species basis, in the PRDEZ. The results indicate that PM_2.5 abatement needs to prioritize secondary species.