城市道路尘的二重源解析方法与应用实例

采用"二重源解析"技术解析了太原市的各单一源类对城市道路尘(以下简称道路尘)的贡献值和分担率;各单一源类和道路尘对城市扬尘的贡献值和分担率;同时解析了各单一源类、道路尘和城市扬尘对环境空气颗粒物的贡献值和分担率。各源类对PM10的贡献率分别是:城市扬尘,27%;道路尘,20%;土壤风沙尘,10%;煤烟尘,13%;建筑水泥尘,10%;机动车尾气尘,11%;钢铁尘,1%;其他,8%。     

青岛春节期间大气颗粒物数浓度的变化特征

于2013年春节前后在青岛观测了不同粒径大气颗粒物数浓度,结合同期天气资料,探讨了雾、霾、降雨、降雪以及烟花爆竹燃放对环境空气中颗粒物数浓度的影响。结果表明,青岛环境空气中以〈1.0μm细颗粒物为主,对颗粒物总数浓度的贡献超过95%。雾霾天时,颗粒物数浓度明显高于晴天,尤其是细颗粒物数浓度升高显著,霾天时以0.3-1μm颗粒物的数浓度增幅最大,雾天时则以0.5-2.0μm颗粒物的数浓度增幅最大。降雨、降雪对颗粒物有一定的清除作用,其中对〉2.0μm粗颗粒物的清除作用最为明显。春节期间烟花爆竹的燃放对环境空气中〈1.0μm细颗粒物的贡献显著,所造成的颗粒物污染约为不燃放烟花爆竹时的3倍。     

平顶山市区大气中TSP来源

用聚类分析——最小二乘拟合方法，采用迭代的、分裂的、不加权的、非交迭的成聚方法(IDDN)，从实测数据阵中求解实际存在的源特征谱及源贡献量，为平顶山市区大气污染总量控制，大气污染综合防治与管理，提供科学依据。     

天津地区沙尘天气与沙尘污染程度特征分析

针对天津地区沙尘天气过程环境空气中颗粒物的污染时空分布特征进行了系统分析。在分析我国沙尘发生频源区域分布、输送途径基础上,分析了天津地区特殊的地理位置及地处沙尘暴多发区下游,空气中颗粒物的污染特征,概述了沙尘天气对空气质量影响程度的年、季、月及日污染时空变化分布特征。建立了沙尘天气颗粒物与有效水平能见度乘幂指数相关方程,为沙尘污染程度的诊断提供了依据。     

城市空气颗粒物开放源理论与治理技术研究进展

城市空气颗粒物开放源已成为大气颗粒物的主要来源之一，它对改善我国城市空气环境质量具有重要意义。开放源是一种复合源类，具有源强不确定和排放不连续等特点。其所排放的主要污染物是扬尘。但目前只有少数的开放源类起尘量可以进行估算。国内外一般对城市空气颗粒物开放源的防治对策有生态环境综合整治或生态修复治理、湿法防尘、将堆放物用覆盖物覆盖或封闭储存等。     

安阳市燃煤源颗粒物及碳组分排放特征

为探究安阳市燃煤源排放特征,基于实地调研、抽样调查和部门座谈等方法,利用排放因子法自下而上的估算了2016年安阳市燃煤源颗粒物和碳组分排放清单,利用经纬度坐标和所属乡镇信息,进行了全市PM_(10)、PM_(2.5)、PM_1、EC和OC排放空间分配,并通过对2017年燃煤源相关政策的搜集整理,结合2016年调研情况,对2017年安阳市主要燃煤相关政策颗粒物减排效果进行了估算。结果表明:安阳市2016年燃煤源PM_(10)、PM_(2.5)、PM_1、EC和OC排放总量分别为5 735.03、2 986.61、1 049.40、718.05和385.29 t;散煤燃烧源是PM_(10)、PM_(2.5)、PM_1、EC和OC的主要贡献源,分别贡献了各污染物的70.71%、76.98%、91.81%、85.14%和71.83%;从空间分布来看,排放主要集中在林州市的河顺镇、龙安区的东风乡以及殷都区的纱厂路街道,而排放强度较高的乡镇(街道)主要集中在市区的纱厂路街道、北大街街道、洹北街道、豆腐营街道和东风乡;通过对2017年燃煤源相关政策的搜集整理,结合2016年调研情况,估算2017年燃煤源PM_(10)、PM_(2.5)和PM_1减排量分别为2 735.15、1 410.08和457.61t,分别占2016年燃煤源排放总量的47.69%、47.21%和43.61%。研究显示,2016年安阳市燃煤源颗粒物排放量较大,2017年安阳市采取的燃煤相关政策措施对安阳市燃煤源颗粒物减排效果显著。     

单颗粒气溶胶质谱和手工监测分析环境空气颗粒物特征组分的比对

在北京典型城市混合功能区点位选择8月和12月,开展手工采样-离线分析技术与在线单颗粒气溶胶质谱仪(SPAMS)测定环境空气颗粒物及其特征组分的比对研究,重点比较OC/EC、水溶性离子和元素等30余种特征组分的监测结果,考察在线监测设备在获得的颗粒物源解析特征组分上与传统手工方式的可比性.结果表明,SPAMS在不同季节测得的颗粒物数浓度与手工滤膜采样得到的颗粒物质量浓度存在一定的可比性;在线和手工方法监测颗粒物中OC、K~+、NH_4~+、Na~+、NO_3~-、SO_4~(2-)、Pb、Cd、Cr、Zn、Mo等组分在不同季节均存在一定的可比性,8月份可比的组分有13个,12月份可比的组分有22个(r值大于0.5),其原因可能与冬季颗粒物及其特征组分的浓度较高且样本量的离散程度增加有关.SPAMS能够快速得到高时间分辨的细颗粒物质量和组分含量的变化趋势,可以作为常规源解析的重要辅助和补充.     

大气颗粒物“二重源解析”技术的误差分析

"二重源解析"模型计算结果的误差是采样误差、样品处理误差、化学组分分析误差、数据处理误差以及数学模型误差等所有误差的积累。提出了"二重源解析"解析结果的相对误差和标准偏差表达式,并用之计算了某市利用"二重源解析"模型计算的源贡献值的相对误差和标准偏差,还针对从源排放出来的初始态颗粒物在传输过程中发生的扬尘态变化提出了扬尘转化率的概念和计算方法。     

总量控制在环境管理中应用

实施大气污染总量控制是法律的要求和市场经济发展的需要，指出容量总量控制是环境质量管理的必然趋势，总量控制研究的核心内容是确定区域允许排放量和制订区域污染综合治理方案，论述了实施总量控制的技术方法和原则，讨论了实施总量控制在社会经济发展中的作用。     

遂宁市大气细颗粒物污染现状及成因

通过研究遂宁市环境空气质量变化趋势、城区空气颗粒物组成及浓度变化,系统分析了遂宁市雾霾天气的污染状况及成因,并横向比较了四川省内各城市的空气质量.研究结果表明,细颗粒物(PM2.5)是遂宁市环境空气中的主要污染物.2012年遂宁市大气中PM2.5浓度值为35—119μg·m-3,平均值为68μg·m-3.2013年1—4月,PM2.5浓度值为21—120μg·m-3,达标率不到50%.尤其在2013年3月,PM2.5/PM10由62.0%—87.2%降低为45.3%.由此判断遂宁市环境空气质量主要受细颗粒物类型、气象条件以及大气污染物长距离迁移等因素影响,其中细颗粒物的最主要来源为机动车尾气排放,并提出了细颗粒物污染防治的对策措施.     

Concentrations and analysis of health risks of ambient air metallic elements at Longjing site in central Taiwan

Environmental Geochemistry and Health - The concentrations of particulates and metallic elements that were bound to total suspended particulates in ambient air at Long Cyuan Elementary School...     

Ambient air particulates and particulate-bound mercury Hg(p) concentrations: dry deposition study over a Traffic,Airport, Park (T.A.P.) areas during years of 2011–2012

The main purpose of this study was to monitor ambient air particles and particulate-bound mercury Hg(p) in total suspended particulate (TSP) concentrations and dry deposition at the Hung Kuang (Traffic), Taichung airport and Westing Park sampling sites during the daytime and nighttime, from 2011 to 2012. In addition, the calculated/measured dry deposition flux ratios of ambient air particles and particulate-bound mercury Hg(p) were also studied with Baklanov & Sorensen and the Williams models. For a particle size of 10 μm, the Baklanov & Sorensen model yielded better predictions of dry deposition of ambient air particulates and particulate-bound mercury Hg(p) at the Hung Kuang (Traffic), Taichung airport and Westing Park sampling site during the daytime and nighttime sampling periods. However, for particulates with sizes 20–23 μm, the results obtained in the study reveal that the Williams model provided better prediction results for ambient air particulates and particulate-bound mercury Hg(p) at all sampling sites in this study.

     

Annual ambient atmospheric mercury speciation measurement from Longjing,a rural site in Taiwan

The main purpose of this study was to monitor ambient air particulates and mercury species [RGM, Hg(p), GEM and total mercury] concentrations and dry depositions over rural area at Longjing in central Taiwan during October 2014 to September 2015. In addition, passive air sampler and knife-edge surrogate surface samplers were used to collect the ambient air mercury species concentrations and dry depositions, respectively, in this study. Moreover, direct mercury analyzer was directly used to detect the mercury Hg(p) and RGM concentrations. The result indicated that: (1) The average highest RGM, Hg(p), GEM and total mercury concentrations, and dry depositions were observed in January, prevailing dust storm occurred in winter season was the possible major reason responsible for the above findings. (2) The highest average RGM, Hg(p), GEM and total mercury concentrations, dry depositions and velocities were occurred in winter. This is because that China is the largest atmospheric mercury (Hg) emitter in the world. Its Hg emissions and environmental impacts need to be evaluated. (3) The results indicated that the total mercury ratios of Kaohsiung to that of this study were 5.61. This is because that Kaohsiung has the largest industry density (~60 %) in Taiwan. (4) the USA showed average lower mercury species concentrations when compared to those of the other world countries. The average ratios of China/USA values were 89, 76 and 160 for total mercury, RGM and Hg(p), respectively, during the years of 2000–2012.     

The effects of air pollution on work loss and morbidity

The pending revision of U.S. air standards and the analytic requirements of Executive Order 12291 will force regulators to examine closely the data showing possible human health effects from air pollution. A number of studies have investigated the relationship between air pollution and human mortality using an epidemiological approach. This study uses a data set on individuals, the Health Interview Survey, conducted by the National Center for Health Statistics, to examine the relationship between air pollution and various measures of morbidity. Regressions run with the total sample and a subsample of male nonsmokers indicate a statistically significant relationship between particulates and both work loss and restricted activity days. Further analysis considering alternative functional forms also indicates that the ambient level of particulates is still significantly related to the measure of morbidity.     

A correlation of secondary aerosol (nitrate and sulfate) with respirable particulate matter (RPM) in ambient air at different traffic junctions of Vadodara city

The correlation study of secondary aerosol (nitrate and sulfate) with RPM in ambient air at different traffic junctions of Vadodara city is reported. RPM was analyzed using Ion Chromatography technique and measured the level of nitrate and sulfate in ambient air. The correlation studies of these particulates with RPM have been established. The average concentration of sulfate and nitrate in ambient air was found 35.74 microg/m3 and 24.22 microg/m3, which ranged of 5.33-84.69 and 1.93-77.86 microg/m3 respectively. The correlation of RPM and SO4 (r = 0.813, P<0.01), RPM-NO3 (r = 0.5549, P<0.01) and SO4-NO3 (r = 0.6133, P<0.01) were found significant. The presence of sulfate and nitrate in RPM is 8.25% and 5.60% . The pH of water extract of RPM averaged 6.81, which ranged 6.17-7.28. Regression analysis result showed that the relationship between RPM-SO4 was significantly (R2=0.66215) correlated. This indicate that probably the secondary aerosols such as nitrate and sulfate in excess may cause irritation and increasing lung disease.     

Concentrations of particulates in ambient air,gaseous elementary mercury (GEM), and particulate-bound mercury (Hg(p)) at a traffic sampling site: a study of dry deposition in daytime and nighttime

In this investigation, the concentrations of particles in ambient air, gaseous elemental mercury (GEM), and particulate-bound mercury (Hg(p)) in total suspended particulates (TSP) as well as dry deposition at a (Traffic) sampling site at Hung-kuang were studied during the day and night in 2012. The results reveal that the mean concentrations of TSP in ambient air, GEM, and Hg(p) were 69.72 μg/m³, 3.17, and 0.024 ng/m³, respectively, at the Hung-kuang (Traffic) sampling site during daytime sampling periods. The results also reveal that the mean rates of dry deposition of particles from ambient air and Hg(p) were 145.20 μg/m² min and 0.022 ng/m² min, respectively, at the Hung-kuang (Traffic) sampling site during the daytime sampling period. The mean concentrations of TSP in ambient air, GEM, and Hg(p) were 60.56 μg/m³, 2.74, and 0.018 ng/m³, respectively, at the Hung-kuang (Traffic) sampling site during the nighttime sampling period. The mean rates of dry deposition of particles and Hg(p) from ambient air were 132.58 μg/m² min and 0.016 ng/m² min, respectively, at the Hung-kuang (Traffic) sampling site during the nighttime sampling period.     

Ambient air particulates-bound metallic elements sources identifications during winter and summer at a Science Park

The ambient air particulates pollutants of total suspended particulates (TSP) and PM_2.5 were collected by using PS-1 and Wilbur PM_2.5 sampler, simultaneously during the year of 2015–2017 at a photoelectric factory in Science Park of central Taiwan. And those of the ambient air atmospheric metallic elements (Cr, Mn, Ni, Cu, Zn, Pb) concentrations which attached on the TSP and PM_2.5 were analyzed by using inductively coupled plasma optical emission spectrometer. In addition, identifying anthropogenic and natural pollutants sources were conducted by using the enrichment factor (EF) and principal component analysis (PCA) methods. The results indicated that the average TSP and PM_2.5 concentrations were ranked highest in winter season, while summer season was ranked lowest during the year of 2015–2016. In addition, the average highest metallic element concentrations were occurred in winter season for both TSP and PM_2.5 during the year of 2015–2016, while the average lowest metallic elements concentrations in TSP and PM_2.5 were also occurred in winter season during the year of 2016–2017. Moreover, the EF analysis results showed that the metallic element Zn came from anthropogenic emission source. As for metallic element Mn, the results showed that metallic element Mn was mainly attributed to natural emission in this study. Finally, the PCA results showed that metallic elements Cr, Zn and Pb were the dominant emissions metallic elements in this study. As for PM_2.5, the results showed that the metallic elements Cr, Cu and Pb were the dominant emissions metallic elements at this HPB sampling site.

     

Characteristics of heavy metal absorption of river bed sludge components

Chronic inhalation of aerosols of different Cd compounds by rats gave sufficient evidence that inhaled Cd is a lung carcinogen in rats. In contrast, the evidence in humans has been termed limited that inhaled Cd causes lung cancer in occupationally exposed humans. In order to assess the carcinogenic potential of ambient air concentrations of Cd, the accumulated dose of Cd in lung tissue from a rat inhalation study was modelled taking into account deposition and retention of Cd in the lung. A lung Cd—cancer incidence relationship could then be established, and an equivalent human exposure could be calculated using man specific pulmonary Cd retention and deposition data for Cd containing particle sizes in the ambient air. Linear interpolation to low doses showed that the pulmonary carcinogenic risk from inhalation of environmental airborne Cd is generally very low, but may reach about 1 × 10^‐4 in polluted industrialized areas. Combined exposures to Cd plus other carcinogens or air pollutants may increase the risk considerably. Cd in cigarette mainstream smoke was estimated to contribute less than 5 % of the total lung cancer risk from smoking cigarettes. However, the influence of co‐exposure to other compounds in cigarette smoke is not known and should be taken into account.     

Review of total suspended particles (TSP) and PM<Subscript>2.5</Subscript> concentration variations in Asia during the years of 1998–2015

In Asian countries such as China, Malaysia, Pakistan, India, Taiwan, Korea, Japan and Hong Kong, ambient air total suspended particulates and PM_2.5 concentration data were collected and discussed during the years of 1998–2015 in this study. The aim of the present study was to (1) investigate and collect ambient air total suspended particulates (TSP) and PM_2.5 concentrations for Asian countries during the past two decades. (2) Discuss, analyze and compare those particulates (TSP and PM_2.5) annual concentration distribution trends among those Asian countries during the past two decades. (3) Test the mean concentration differences in TSP and PM_2.5 among the Asian countries during the past decades. The results indicated that the mean TSP concentration order was shown as China > Malaysia > Pakistan > India > Taiwan > Korea > Japan. In addition, the mean PM_2.5 concentration order was shown as Vietnam > India > China > Hong Kong > Mongolia > Korea > Taiwan > Japan and the average percentages of PM_2.5 concentrations for Taiwan, China, Japan, Korea, Hong Kong, Mongolia and Other (India and Vietnam) were 8, 21, 6, 8, 14, 13 and 30%, respectively, during the past two decades. Moreover, t test results revealed that there were significant mean TSP and PM_2.5 concentration differences for either China or India to any of the countries such as Taiwan, Korea and Japan in Asia during the past two decades for this study. Noteworthy, China and India are both occupied more than 60% of the TSP and PM_2.5 particulates concentrations out of all the Asia countries. As for Taiwan, the average PM_2.5 concentration displayed increasing trend in the years of 1998–1999. However, it showed decreasing trend in the years of 2000–2010. As for Korea, the average PM_2.5 concentrations showed decreasing trend during the years of 2001–2013. Finally, the average PM_2.5 concentrations for Mongolia displayed increasing trend in the years of 2004–2013.     

北京市秋季大气颗粒物的污染特征研究

大气颗粒物是造成城市空气污染的重要原因之一,并已经成为我国北京等大中城市空气污染中的首要污染。为了分析北京市大气细颗粒物的污染水平及其影响因素,以大气中的PM10和PM2.5为研究对象,于2005年秋季在北京市设立了9个采样点进行采样监测,通过对所采集到的PM10和PM2.5质量浓度的对比来分析大气颗粒物的空间分布和时间变化特征,并建立起PM10和PM2.5质量浓度与风力、温度、湿度等气象条件的对应关系来分析各种气象因素对大气细颗粒物污染水平的影响。结果表明:北京市不同区域的PM10和PM2.5的质量浓度差异较大,同时,值得注意的是通过对同一地点同一采样时间大气颗粒物质量浓度的对比发现PM2.5质量浓度的空间分布并不完全同于PM10,这主要是与采样点所处的环境中不同污染源影响的强弱有关;气象条件稳定时,PM10和PM2.5质量浓度的日变化表现出一定的规律性,这种时间变化的特征主要取决于所在环境中排放的污染物变化情况;气象条件是影响PM10和PM2.5污染程度的重要因素,在一定的范围内,颗粒物质量浓度随着温度的上升而下降,随着相对湿度的升高而增大,随着风力的增强而减小。