PM2.5对呼吸系统的影响及其作用机制的研究

现如今PM_2.5已成为我国主要的大气污染物,它会导致各种呼吸系统疾病的发生。PM_2.5是粒径小于2.5 μm的细颗粒物,可以携带多种有毒物质。PM_2.5与其他颗粒物相比,体积较小,表面积较大,更容易进入人体,对人体健康造成危害,其中呼吸系统首当其冲。许多流行病学证据表明PM_2.5与呼吸系统疾病密切相关,在体内和体外均证实了细颗粒物对呼吸系统的损伤。而PM_2.5对呼吸系统的毒性机制是国内外专家和学者研究的重点,主要包括氧化应激、炎性损伤、细胞内钙稳态失衡、免疫细胞功能不全和功能障碍、致突变性、微生态学改变、气道上皮防御功能缺陷等。本文综述了PM_2.5的定义、特征和对呼吸系统的影响及毒性机制。     

城市空气污染对周边区域空气质量的影响

京津冀地区是全球以PM_(2.5)为首要污染物的空气污染最严重的区域之一,并已严重制约区域发展。大区域尺度上(例全国尺度)开展城市与其周边区域的PM_(2.5)的研究通常直接比较二者的浓度差异,以定量地评估城市PM_(2.5)污染对周边区域的影响,但这种方法在小区域较难精细地刻画城市对周边区域的影响的方向性和距离性差异。利用京津冀地区13个城市2000年,2005年,2010年,2015年PM_(2.5)浓度和土地覆盖类型数据,以城市重心到城市边界的平均距离为基本距离,建立每个城市的一级(一倍基本距离)和二级(二倍基本距离)缓冲区,然后将缓冲区分成8个象限,以定量分析城市PM_(2.5)污染对周边区域影响的方向性和距离差异。结果发现:(1)2000—2015年,京津冀城市群各地级市与周边区域空气质量时空分布分为以下两种模式:第一种模式是城区浓度高,周边区域低;第二种模式是城区浓度低,周边区域高且浓度差异很小。(2)各地级市对周边区域影响程度和范围呈上升趋势,并且这种影响具体表现在距离性和方向性两方面:(1)大部分城市距离城区越远,受城市PM_(2.5)污染的潜在影响越大。(2)2000—2015年,除天津、廊坊、衡水和沧州,其余城市空气污染对周边影响的方向性特征差异显著。通过建立城市空气污染对周边区域定量化方法并在京津冀开展实证研究,拓展了城市空气污染对周边区域空气质量影响研究的方法体系,为定量地开展城市化的生态环境效应研究提供了方法和实证拓展。     

PM2.5暴露对Wistar大鼠呼吸道菌群的改变

目的研究暴露于PM_(2.5)环境后Wistar大鼠呼吸道微生态的改变。方法 12只Wistar大鼠随机分为PM_(2.5)暴露组和对照组,每组6只。大鼠饲养1周适应环境,从第2周开始在动式染毒系统暴露仓中暴露染毒,对照组暴露于生理盐水。每天暴露4 h,连续暴露28 d后,收集大鼠气管灌洗液和支气管肺泡灌洗液。采用16S rDNA分析技术对其中所含的菌群种类及丰富度进行高通量测序。结果暴露于PM_(2.5)大鼠的上、下呼吸道菌群结构发生明显改变。经PM_(2.5)暴露后呼吸道中寄居的主要正常菌群厚壁菌门、拟杆菌门、变形菌门、放线菌门的总数较正常对照组都明显降低。结论 PM_(2.5)的暴露能够导致大鼠呼吸道微生态菌群失衡。     

城市街道绿化对空气质量及微气候影响的综合模拟研究

植被对街道峡谷行人水平空气质量的影响得到了广泛关注,然而,污染物浓度与真实街道几何的宽街谷下复杂的绿化条件之间的关系没有得到足够的重视,也很少有研究对这种街道绿地对空气质量和微气候的综合影响进行评价。研究探讨街道绿化如何影响慢行道空气质量及微气候,其因子相关性、影响效果如何,并评估其综合生态效益。结果表明,街道绿化有正负两方面生态效益,可增加慢行道PM_2.5浓度9.34%-99.70%,平均降低气温1.06℃。近源冠层体积分数与浓度变化率极显著正相关,最能表征绿化引起的慢行道空气质量变化。绿化覆盖率、慢行道SVF与温湿度、风速变化率显著相关。各道路等级下中等覆盖度的场景具有最佳综合生态效益,主次干道综合生态效益高的场景特点是机非绿带为乔灌结构,水平结构为均匀型。研究可促进对宽阔街道绿化生态功能权衡的深入认识,为街道绿地配置方法及生态效益评估提供依据。     

深圳市大气污染时空分布及其与景观格局的关系

气溶胶和臭氧是我国大部分地区的两种主要大气污染物,对城市生态环境和人类身体健康影响严重。以深圳市为研究区,利用大气监测站点提供的监测数据和普通kriging空间插值法,从年、季、月尺度上开展近5年（2015-2019）深圳全市PM_2.5和臭氧的时空分布研究,通过皮尔逊分析和显著性检验从月尺度上分析土地覆盖类型及其景观格局对大气污染的影响。结果表明：（1）近5年内深圳市PM_2.5浓度总体呈现下降趋势,臭氧浓度则先降后升,二者季节性和月度差异显著。（2）PM_2.5和臭氧在年、季、月尺度上空间差异明显,全市PM_2.5浓度整体为西北高、东南低;臭氧浓度西北、东南较高,其余区域相对较低。（3）植被占比的增多对PM_2.5浓度有明显的抑制和调控作用,植被斑块间距离越近,对PM_2.5浓度的调控作用越明显;水体占比的增高会导致臭氧浓度增高和变化幅度增大。研究结果可为城市大气污染防治和景观格局规划管理提供参考。     

PM2.5暴露对ICR小鼠上呼吸道菌群的影响

目的建立长期暴露高浓度PM_(2.5)的ICR小鼠动物模型,探索长期暴露于PM_(2.5)对呼吸道微生物组成的影响。方法以沈阳市黄河北大街为采样点,收集空气中细颗粒物,用浓度为200μg/mL的PM_(2.5)建立染尘染毒ICR小鼠模型,染尘周期为6个月,用无菌棉拭子进行咽拭取材后,使用靶向16S rRNA基因的V3-V4区域进行高通量测序来研究它们的微生物群。结果染尘组小鼠呼吸道菌群OTU总数大于对照组,物种分类分析后主要优势菌门为拟杆菌门、厚壁菌门和变形菌门。2组差异物种分析得出拟杆菌门和螺旋体菌门丰度染尘组大于对照组,变形菌门丰度染尘组小于对照组。此外α多样性分析Chao1指数和Ace指数差异具有统计学意义(均P0.05)。结论染尘组与对照组小鼠呼吸道菌群具有明显差异性,证实长期高浓度PM_(2.5)暴露导致呼吸道菌群失调。     

北京西山不同海拔油松林PM2.5浓度及叶片吸附量变化规律

以北京西山不同海拔梯度油松人工林为研究对象,对油松林PM_(2.5)浓度变化和叶片PM_(2.5)吸附量进行分析,并应用电子显微镜对不同海拔油松叶表面微形态特征进行观察,阐释叶片吸附PM_(2.5)差异。结果表明:随着海拔升高PM_(2.5)质量浓度逐渐降低,不同海拔油松林PM_(2.5)质量浓度日变化均呈典型的双峰曲线,7:00和19:00是一天的两个峰值,最小值出现在13:00—15:00左右;从不同月份看,不同海拔油松林PM_(2.5)质量浓度最高值出现在冬季的2月,最低值在8月;不同海拔油松林PM_(2.5)质量浓度全年均值为84 m((102.28±18.44)μg/m~3)110 m((94.18±18.34)μg/m~3)160 m((81.53±19.23)μg/m~3)230 m((75.39±15.71)μg/m~3);随着海拔升高单位叶面积PM_(2.5)吸附量逐渐减小,每升高50 m,单位叶面积PM_(2.5)吸附量降低23.25%,每公顷PM_(2.5)吸附量下降26.43%,不同海拔油松林每公顷PM_(2.5)吸附量全年均值为84 m((8.61±1.08)kg/hm~2)110 m((7.30±0.94)kg/hm~2)160 m((6.35±0.99)kg/hm~2)230 m((4.34±1.14)kg/hm~2);处于低海拔的油松叶表面较粗糙,气孔内部和周围聚集大量颗粒物,在叶面形态上更有利于吸附PM_(2.5),高海拔则相反。高海拔空气质量优于低海拔,低海拔的植物吸附颗粒物多于高海拔。研究结果可为城市造林和森林净化大气提供数据支持。     

城市规模对大气污染物NO2和PM2.5浓度的影响

随着我国城市的快速发展,城市的区域性大气污染问题日益突出,尤其是大城市和超大城市的污染问题更加严重。那么城市规模的扩大是否必然导致空气污染的加剧?控制城市人口规模是否是防治空气污染的有效手段?这些问题成为空气污染防治中政府、公众和学者广泛关注的焦点。采用2013年冬季全国114个重点城市两种典型大气污染物-NO_2(传统)和PM_(2.5)(新型)-浓度的实时监测数据,首先分析了这两种大气污染物的空间分布特征,进而定量分析城市人口规模和大气污染物浓度的关系。结果显示:(1)仅有21%的城市NO_2浓度达到WHO的城市年均浓度标准(40μg/m~3),全部城市的PM_(2.5)浓度高于WHO年均浓度标准(10μg/m~3);(2)大气污染物的空间分布具有显著的集聚特征和区域性特征,表现为:NO_2呈较为分散的空间分布,而PM_(2.5)的空间分布呈现\"北高南低、内陆高沿海低\"的特征。NO_2浓度高的区域主要分布在天津、河北东南部和山东中部地区,PM_(2.5)浓度高的区域主要分布于河北西南部和山东西部;(3)常住人口规模同冬季NO_2和PM_(2.5)浓度呈倒\"U\"型关系;在1000到1200万的城市冬季平均NO_2和PM_(2.5)浓度最高(NO_2:69.28μg/m~3,PM_(2.5):119.58μg/m~3)。(4)总人口低于1200万的城市,冬季NO_2浓度和PM_(2.5)浓度随着城市规模增加而显著升高(NO_2:r=0.44,P0.01;PM_(2.5):r=0.43,P0.01);总人口高于1200万的城市,NO_2浓度同城市规模呈显著负相关关系(r=0.91,P0.05),PM_(2.5)浓度随城市规模增加逐渐降低。(5)常住人口密度在1000人/km~2以下的重点城市,NO_2和PM_(2.5)浓度同城市人口密度呈显著正相关关系(NO_2:r=0.23,P0.05;PM_(2.5):r=0.36,P0.01)。常住人口密度在1000人/km~2以上的城市人口密度同NO_2和PM_(2.5)浓度呈显著负相关关系(NO_2:r=-0.61,P0.05;PM_(2.5):r=0.63,P0.01)。以上研究结果可以为划定不同大气污染物的重点防治区域和制定联合防治行动计划提供理论依据,并为重点城市大气污染治理和城市人口规模控制理论完善提供参考。     

大气颗粒物(PM2.5、PM10)对地表景观结构的响应研究进展

颗粒物PM_(2.5)、PM_(10)是近年来我国大气首要污染物,威胁环境和人类健康。地表景观结构直接或间接影响PM_(2.5)、PM_(10)浓度,了解其影响过程和机理对于改善生态环境具有重要意义。系统总结了国内外关于PM_(2.5)、PM_(10)对地表景观结构响应的研究成果,指出研究中出现不确定性的可能影响因素,并对今后的发展方向进行展望。得出基本结论:(1)地表景观类型的构成及其格局显著影响大气颗粒物浓度,对PM_(2.5)、PM_(10)起到\"源\"和\"汇\"的作用。(2)地表景观结构引起局地气候变化并影响颗粒物的迁移转化,但其影响过程和机理复杂,研究结论并不明确。(3)颗粒物浓度和地表景观数据主要通过实际监测或遥感处理方法获得,但因为获取方法、监测点微观环境及遥感影像等因素影响,导致数据具有不确定性,加上时空尺度相对应的复杂性,大大限制了地表景观结构与PM_(2.5)、PM_(10)响应关系的研究进展,是未来要突破的难点。(4)PM_(2.5)、PM_(10)对地表景观结构响应的区域时空差异及过程,局地小气候变化对颗粒物浓度的影响过程和强度,主要景观类型尤其是水体、湿地景观对大气颗粒物浓度的影响过程、机理与贡献程度等是未来需要关注的方向。     

降雨对北方城市5种典型城市绿化树种叶面滞尘的影响

城市树木和森林植被净化大气颗粒污染物的功能受到了广泛的重视,但由于受多种植被特征与环境因素的影响,定量评价城市植被净化大气颗粒污染物功能非常困难。研究了不同降雨条件下大叶黄杨、银杏、栾树、五角枫、杜仲5种我国北方城市绿化典型树种叶面滞尘量的变化特征。在选定的样树冠层分上、中、下3层和东、南、西、北4个方向,采集成熟叶片,采用刷洗样本叶表,抽取水样及分级抽滤并烘干称重的方法,测定这5种树种降雨后12d(夏季累积滞尘量)、14mm降雨后(小雨)、29mm降雨后(中雨)以及室内模拟降雨30mm/h(15mm雨量)后叶片表面不同粒径大气颗粒污染物的滞留量。研究结果表明:降雨对不同粒径颗粒物去除能力有较大差异,除银杏以外,PM10以上颗粒物更容易去除;小雨对颗粒物的冲刷能力有限;中雨可以冲刷掉50%以上总颗粒物;室内模拟强降雨可以冲刷掉90%以上颗粒物,随着降雨增大,各粒径颗粒物随之冲刷量增加;同时叶表结构对抗冲刷能力有显著影响,革质叶片更容易滞尘及冲刷,绒毛结构滞尘能力较低,抗冲刷能力较强;北方大叶黄杨具有综合去除空气中颗粒物优势(小雨TSP冲刷量为(775.06±33.99)mg/m~2),银杏具有去除细颗粒物优势(中雨PM_(2.5)冲刷量为(426.55±40.83.99)mg/m~2)。     

Assessing the Impact of Advected African Dust on Air Quality and Health in the Eastern United States

Large quantities of African dust are carried into the southeastern United States each summer with concentrations typically in the range of 10 to 100?µg m^?3. Because approximately one-third to one-half of the dust mass is in the size range under 2.5?µm diameter, the advection of African dust has implications for the EPA's newly implemented standard for PM_2.5 particulate matter and for the assessment of human health effects. It will be difficult to assess the impact of African dust events on air quality because they occur during the summer (maximum in July) when photochemical pollution events are frequent and intense in the eastern United States. Indeed, the presence of dust could affect the evolution of photochemical dust events. In order to assess the role of African dust in air quality in the United States, it will be necessary to develop a set of diagnostic indicators; it appears that dust mineralogy and elemental composition might be useful for this purpose. Various satellite products can be used to characterize the spatial coverage of dust events and, when coupled with meteorological tools, to predict impact regions.     

Seasonal Variation in Schools’ Indoor Air Environments and Health Symptoms among Students in an Eastern Mediterranean Climate

The indoor air quality (IAQ) in classrooms highly affects the health and productivity of students. This article aims to clarify seasonal variation in indoor environment and sick building syndromes (SBS) symptoms in an Eastern Mediterranean climate. A series of field measurements were conducted during the fall and winter seasons from October 2011 to March 2012 in 12 naturally ventilated schools located in the Gaza Strip. Data on environmental perception and health symptoms were obtained from 724 students by using a validated questionnaire. The results showed that indoor PM₁₀ and PM_2.5 concentrations were 426.3 ± 187.6 μg/m³ and 126.6 ± 94.8 μg/m³, respectively. The CO₂ concentrations and ventilation rate widely exceeded their reference values during the winter season. The prevalence rates of general symptoms were relatively high at baseline assessment in the fall season and increased significantly during follow-up in the winter season. Significant increases in disease symptoms such as mucosal irritation and pre-existing asthma symptoms among students could be related to poor indoor air quality. Five distinct groups of SBS symptoms from factor analysis of students’ related symptoms were significantly correlated with PM₁₀ and PM_2.5, CO₂, ventilation rate, and indoor temperature. As vulnerable children, this situation negatively affects their school performance and health.     

Is the Current Fine Particulate Standard Protective of Public Health?

The new annual PM_2.5 standard will be the most difficult particulate matter (PM) standard to satisfy. At issue is whether the extant health evidence supports the rationale for this standard being the controlling standard. Indeed the key issue is whether this standard will result in the most cost-effective way to protect public health. This paper examines the health literature and concludes that the evidence for the annual PM_2.5 standard is weak. The bulk of the health evidence is related to daily exposures to PM₁₀ and larger particle sizes, and there is no rational way to decide upon the correct level for this standard. It is unclear whether the most restrictive PM_2.5 standard will be protective of public health. Clearly research is needed to determine the correct PM metric, averaging time, and level for a standard. To date such research has been limited.     

Characterization of metal(loid)s in indoor and outdoor PM2.5 of an office in winter period

The characterization of indoor (a naturally ventilated office) and outdoor (adjacent courtyard) metals in PM_2.5 during a winter period in Xi'an, China were carried out. The results indicated that the average mass concentrations of PM_2.5 in indoor and outdoor environments all exceeded the daily average limit of 75 µg m^–3 set by the Chinese government. The dominant metals in PM_2.5 were Ca, Al, Zn, Mg, Fe, and Pb in both indoor and outdoor air. Concentration of As was much higher than the standard of 6 ng m^–3 issued by the government. Enrichment factor analysis showed that anthropogenic emissions might be the primary sources of As, Cd, Pb, and Zn, while crust was the main origin of Co. A majority of indoor-to-outdoor concentration ratios of metal were lower than 1 indicating mostly the contribution of outdoor sources rather than indoor ones. As and Cr in both indoor and outdoor air posed the highest noncarcinogenic and carcinogenic risks, respectively. The noncarcinogenic and carcinogenic risks were 2.74 and 2.54 × 10^?4 indoor and 4.04 and 3.87 × 10^?4 outdoor, which suggested that possible adverse health effects should be of concern.     

Heavy Metal Content in PM2.5 Air Samples Collected in the Metropolitan Area of Monterrey,México

The air PM_2.5 concentration and its heavy metal content (Fe, Pb, Mn, Ni, As) were measured in the Metropolitan Area of Monterrey, Méxicoin Mexico, an area that is characterized by both very active and diverse industrial activity and intense highway traffic and industrial activity. The 24-h PM_2.5 samples were collected in two different zones during a 1-year-long measurement program (February 2008–February 2009). The year PM_2.5 average was above 15 μg/m³ exceeding Mexican and international standards. The difference of PM_2.5 in each zone was not statistically significant. The greatest metal content was for iron, followed by lead, manganese, nickel and arsenic. The difference in metal content for Pb, Mn, and As was statistically significant.     

LATEX: A peculiar biological component in airborne particles?

In a study in the USA, latex allergens have beenidentified in airborne particles. Natural rubber(latex) is a product from the plant Heveabrasiliensis and is largely used in the tireindustry. In the vicinity of roads, latex can becomeairborne due to wear-off processes of tires.Sensitisation to latex has been increasing in the lastdecade; an important pathway for the sensitisation ismediated by the airways. It is not known, if thisconcerns mainly laboratory personnel or if this isalso an environmental problem.This study investigated the content of latex inairborne particles in the vicinity of a road withmoderate traffic, in comparison to a control site.Latex was determined in a competitive ELISA based onpolyclonal IgE antibodies. During spring and summer,collected airborne dust was analysed for the contentof protein and latex. Latex concentrations inPM₁₀ in the city were higher than at the controlsite. At both sites, latex levels were significantlylower in PM_2.5 than in PM₁₀.     

Estimating PM2.5 concentrations with statistical distribution techniques for health risk assessment in Bangkok

Abstract

Ambient PM_2.5 data in the Central Business District (CBD) of Bangkok monitored by Pollution Control Department and Bangkok Metropolitan Administration were collected over three years in Bangkok from 2015 to 2017. The other air pollutions data were used as the dependent variables to develop mathematic models with statistical distribution technique. Multiple linear regression technique was selected as the main statistical distribution methodology for estimating PM_2.5 concentrations in non-monitored areas. The predicted PM_2.5 concentrations were validated against the measured PM_2.5 concentrations by various statistical techniques. The validation found that the model had strong significant correlations for ambient and roadside area with R ²?=?0.88 and 0.96, respectively. The non-carcinogenic health risk assessment of PM_2.5 was quantified as the hazard quotient (HQ) from both the measured and predicted data. The risk areas and HQ were compared using the inverse distance weighting interpolation technique and illustrated as GIS-based maps. During December to February, the HQ values of PM_2.5 were exceed 1 (HQs?>?1) at all area of CBD; however, the highest HQ was found in the southern part of CBD. The finding could be used for residential health awareness in that area.     

城市群空气污染综合评估范式与应用——以京津冀城市群PM2.5污染为例

城市群已成为中国城市发展的主要形式,城市化发展引发的一系列环境污染问题成为目前的研究重点之一,尤其是近年来明显的空气污染问题。由于传统的针对某一城市地区进行细致研究,难以解决在城市聚集的城市群下形成的区域性空气污染来源和影响机制等问题,使区域性空气污染造成的负面效应难以评估。通过构建综合评估模型范式,并运用空间分析,对京津冀168个区县2000年,2005年,2010年,2015年PM_2.5人口暴露风险、人类活动对PM_2.5的贡献、以及5种土地利用类型的\"源汇\"特征进行了实证研究。结果发现:(1)2000—2015年,京津冀城市群的人口暴露风险、空气污染分布、综合评估结果总体呈现北低南高的现象。(2)2000—2015年,各县域的人口暴露风险和空气污染的程度、范围呈上升趋势。不同的土地利用类型具有不同的源汇特征,且对污染的贡献不同。本研究通过综合评估模型范式对城市群或区域城市发展与空气质量的权衡关系模式开展量化解析,为城市的可持续发展提供了科学的范式和初步的实证示范。