2000~2011年深圳湾及邻近水域颗粒有机物的来源和时空分布

依据2000~2011年每月一次的调查资料,简要描述和讨论了深圳湾及邻近水域中颗粒有机物(POM)质量浓度的时空分布,并结合盐度和叶绿素a (Chl a)实测数据探讨POM的来源和滞留时间.结果表明深圳湾的POM质量浓度和陆源质量分数分别约为4.2mg/L,79%,而伶仃洋东部沿岸的分别约为1.9mg/L,42%.深圳湾和伶仃洋东部沿岸中现存浮游植物颗粒有机物(PPOM):Chl a比率分别约为92,54g/g,由此估算的PPOM质量浓度分别为0.8,0.2mg/L左右.依据浮游植物生产力和累计海源POM估算的POM滞留时间在深圳湾中为1~5d,而在伶仃洋东部沿岸中约为10d.研究期间伶仃洋东部沿岸POM质量浓度的年际变化略呈上升趋势,从1.7mg/L上升至2.0mg/L;深圳湾POM质量浓度在2000~2005年呈上升趋势,从3.0mg/L上升至5.5mg/L,在2006~2011年则呈下降趋势,从5.4mg/L下降至3.0mg/L.     

杭州市灰霾与非灰霾日不同粒径大气颗粒物来源解析

在2011年典型灰霾和非灰霾天气下,采集了杭州市不同粒径的大气颗粒物样品,测定并分析各粒径段颗粒物的质量浓度及其化学成分;同时采集并分析了主要污染源排放的颗粒物样品,通过CMB(化学质量平衡)模型进行源解析. 结果表明:灰霾天气下,二次粒子是杭州市各粒径段颗粒物的首要贡献源,其对≤1.1、>1.1~3.3、>3.3~5.8和>5.8~10μm粒径段的颗粒物贡献率分别为60.4%、62.2%、54.8%和46.5%. 在一次排放源中,机动车尾气是≤1.1和>1.1~3.3μm粒径段颗粒物的重要来源,贡献率分别为13.8%和12.2%;城市扬尘是>3.3~5.8μm粒径段颗粒物的重要来源,贡献率达到16.0%;而建筑施工尘是>5.8~10μm粒径段颗粒物的重要来源,贡献率为14.2%. 非灰霾天气下,随着颗粒物粒径的增加,二次粒子的贡献率显著下降,对≤1.1μm粒径段颗粒物的贡献率为42.7%,而对>5.8~10μm粒径段颗粒物的贡献率仅为15.5%;机动车是各粒径段颗粒物的重要贡献源,贡献率均在20%以上;煤烟尘是≤3.3μm细粒径段颗粒物的重要贡献源类,贡献率为22.0%;城市扬尘是>3.3~5.8μm粒径段颗粒物的重要来源,贡献率为18.3%;建筑施工尘依然是>5.8~10μm粒径段颗粒物的重要来源,贡献率为21.4%.      

FBC-DPF在柴油机颗粒物控制中的应用研究

目前针对加装FBC-DPF(燃油添加剂-柴油机颗粒捕集器)后的柴油机放特性研究较少,并且缺乏FBC-DPF对颗粒物中PAHs排放量的影响效果研究. 为全面评估加装FBC-DPF后柴油机颗粒物排放特性和FBC-DPF对柴油机尾气中的颗粒物排放污染控制效果,在发动机台架上对装有FBC-DPF的重型柴油机进行了颗粒物排放特性试验. 利用电子低压撞击仪(ELPI)测量加装FBC-DPF前、后柴油机颗粒物的数浓度与粒径分布,用玻璃纤维滤膜采集加装FBC-DPF前、后尾气中的固相PAHs,利用色谱质谱联用仪对加装FBC-DPF前、后尾气中的固相PAHs进行定量分析. 结果表明:①加装FBC-DPF后柴油机排放的颗粒物数浓度大幅降低,FBC-DPF对尾气中颗粒物的捕集效率平均值在95%左右;②加装FBC-DPF后柴油机固相PAHs总比排放量有所降低,在大负荷区域降幅在25.0%~88.0%之间;③加装FBC-DPF前的颗粒物中位直径为30~89nm,而加装FBC-DPF后的颗粒物中位直径为41~98nm,平均增幅为38.2%. 对于国Ⅳ及未来国Ⅴ柴油机排放法规,FBC-DPF是解决柴油机颗粒物排放的有效手段;此外,FBC-DPF可以大幅降低柴油机尾气中的有毒成分,并且能够适应高含硫量的燃油环境.      

园林植物滞留不同粒径大气颗粒物的特征及规律

为研究常用园林植物滞留大气颗粒物的能力,本文以北京市常用园林植物为例,应用直接采样、电镜分析和统计分析的方法,对选定园林植物滞留不同粒径大气颗粒物的特征及规律进行了系统分析。结果表明：（1）园林植物滞留的颗粒物形状为不规则块体、球体和聚合体,通过对比分析得出,滞留大气颗粒物能力由高到低的微形态结构依次是蜡质结构〉绒毛〉沟槽〉条状突起,并且这些微形态结构越密集、深浅差别越大,越有利于滞留大气颗粒物。（2）以园林植物叶片滞留颗粒物的数量进行统计时,得出园林植物叶片表面大部分为PM10（Dp≤10μm）,均在98%以上,而PM2.5（Dp≤2.5μm）均在90%以上,粗颗粒物（Dp〉10μm）的数量对总体数量的贡献非常小,均在2%以下;以体积进行统计时,得出PM10的体积在总体积中的比例在50%以上,对颗粒物总体积贡献最大,滞留的PM2.5体积占总体积8.5%-17.6%,粗颗粒物（Dp〉10μm）体积占总体积20%以上。（3）对园林植物滞留颗粒物累积规律分析得出：在相同观测叶面积下,园林植物滞尘10 d的叶表面颗粒物数量较滞尘5 d的叶表面颗粒物数量均有所增加,增幅最大的是小叶黄杨（Buxus microphylla）,增幅最小的是月季（Rosa chinensis）,通过方差分析得出绦柳（Salix matsudana f.pendula）叶表面颗粒物数量显著低于除银杏（Ginkgo biloba）之外的其它7种树种,大叶黄杨（Euonymus japonicus）、小叶黄杨和国槐（ Sophora japonica）叶表面滞留颗粒物的数量较多,并且显著高于月季、银杏和绦柳叶表面滞留的颗粒物数量;滞尘10 d后园林植物叶表面滞留的颗粒物的总面积均未超过观测叶面积的25%,至于叶片持续滞留颗粒物多少天后达到饱和状态仍需进一步研究。     

土壤中两种手性有机氯农药的选择性降解研究

为了更深入的了解和阐释手性有机氯农药在土壤中的转化和环境归趋,采用实验室室内避光培养方法,研究了o,p＇-DDT及o,p＇-DDD 2种手性有机氯农药的外消旋体在水稻土厌氧培养体系和菜园土好氧培养体系中的选择性降解情况。为了更好的利用土壤中土著微生物的活性,我们选择了厌氧微生物比较丰富的水稻土和好氧微生物丰度比较高的菜园土来做培养实验。结果表明实验体系中o,p＇-DDT及o,p＇-DDD在水稻土和菜园土中的降解均没有明显的对映体选择性。这一结果与2种手性化合物不同对映体在自然环境中的含量普遍具有差异性有所不同,说明野外环境条件和室内模拟实验条件的差异会影响手性化合物的降解选择性。在2种体系中,o,p＇-DDT的降解速率均高于o,p＇-DDD的降解速率。这与以前的研究报道一致,DDD比DDT更难降解。通过2个体系的比较,发现DDT的降解速率在厌氧体系中高于好氧体系,而DDD的降解速率与之相反,好氧体系高于厌氧体系。这应该与DDT和DDD 2种化合物的化学结构及2种土壤中微生物群落的差异有关。对于厌氧体系中的2种水稻土,采自中山的水稻土中DDT的降解速率高于江门的水稻土,这应该与中山水稻土有机质含量高于江门的水稻土有关。有机质含量的高低直接反映了土壤中微生物的多少,进而会影响污染物的降解速率。研究发现本实验所用水稻土和菜园土总有机碳含量偏低可能是影响2种化合物的对映体无降解选择性的因素之一。此外,由于本研究采用缓冲溶液将pH 调控在中性,因此本文的土壤 pH 对降解选择性的影响仍有待进一步研究。本研究中好氧体系和厌氧体系对目标物的降解选择性无明显差异。     

北京市2009年8月大气颗粒物污染特征

为研究2008年8月北京奥运会1a之后北京市大气颗粒物的污染特征,于2009年8月对北京市大气颗粒物PM10、PM2.5样品进行采集,测量其质量浓度并对其中的水溶性离子组分进行分析.研究发现2009年8月北京市大气颗粒物PM10、PM2.5质量浓度日均值分别为176.9μg/m3和102.5μg/m3.PM10质量浓度比2008年观测值上升了180%,比2007年降低了10%; PM2.5质量浓度比2008年观测值上升了126%,比2007年上升了31%.水溶性离子是大气颗粒物的重要组分,分别占PM10和PM2.5质量浓度的43%和61%.对比发现,污染天气条件下PM2.5/PM10和NO3-/SO42-比值升高,移动源是北京地区主要的污染物来源.风向风速和降水等天气条件对颗粒物质量浓度有很大影响,其中0.5~1.0m/s的东南风条件下大气颗粒物污染最为严重.     

上海城区典型空气污染过程中细颗粒污染特征研究

采集了上海城区2009年10月10~21日期间2次空气污染过程的样品,在对污染过程分析的基础上,着重分析了PM2.5及其化学组分的变化,探讨了污染源及形成机制.研究表明,14日的灰霾过程主要由本地排放的污染物二次转化形成,PM2.5占PM10比重超过60%且PM2.5中离子组分含量高.17~19日的浮尘过程中,受北方沙尘影响本市粗颗粒浓度上升,PM2.5所占比重下降,二次离子组分从细颗粒物向粗颗粒物转移且Ca2+浓度上升,同时受到长江三角洲区域秸秆焚烧的影响,细颗粒物中K+, EC和OC含量高.因此,应在控制本地源排放的同时,加强对细颗粒尤其是二次细颗粒污染及其前体物的协同控制.     

Dissolution behavior of metals from particulate matter emissions

Exposure to air particulate matter (PM) is linked to numerous health effects. In order to improve the understanding of the role of its metallic components, their solubility was examined by using serial short-contact dissolutions totalling 1?h and additional sequential contact periods of 1, 4, and 8 days. The dissolution experiments were performed in solutions containing the main biological electrolytes. ICPMS determinations were used to quantify the dissolved metals. The total compositions were determined after closed vessel microwave digestion. Large variations in the rate and completeness of the dissolutions were observed. Fast and extensive dissolutions within the short-contact time (e.g., Zn, Cd) as well as slow dissolutions persisting during the last contact period (e.g., Ni, Cu, Sb, Pb) were found for smelting emissions. The multi-element determinations also made it possible to identify relationships between dissolution of different metals and define gradual composition changes of residual PM. When comparing with dissolutions performed in de-ionized water, similar major fractions were observed at short-contact time for minor components of smelting or combustion emissions (e.g., V, Ni, Cd), suggesting a preponderance of easily available forms at the surface of the relatively inert particle cores. The use of these time sequential methods may help in (1) modeling metal partitioning in biological media and (2) investigating the causes of adverse effects attributed to air PM.     

Indoor and outdoor air pollution and lung cancer in New Hampshire and Vermont

Indoor and outdoor air pollution is known to contribute to increased lung cancer incidence. This study is the first to address the contribution of home heating fuel and geographical course particulate matter (PM₁₀) concentrations to lung cancer rates in New Hampshire, USA. First, Pearson correlation analysis and geographically weighted regression were used to investigate spatial relationships between outdoor PM₁₀ and lung cancer rates. While the aforementioned analyses did not indicate a significant contribution of PM₁₀ to lung cancer in the state, there was a trend towards a significant association in the northern and southwestern regions of the state. Second, case-control data were used to estimate the contributions of indoor pollution and secondhand smoke to the risk of lung cancer with adjustment for confounders. Increased risk was found among those who used wood or coal to heat their homes for more than 10 winters before the age of 18, with a significant increase in risk per winter. Resulting data suggest that further investigation of the relationship between heating-related air pollution levels and lung cancer risk is needed.     

Characterization of airborne particulate matter in Thessaloniki,Greece

A receptor modeling approach has been applied to identify and apportion sources of airborne particulate matter in Thessaloniki, Greece. The absolute principal component analysis source apportionment technique used, provided quantitative information regarding both source particle characteristics and impacts. The analysis identified four major sources of heavy metals within total suspended particles (TSP) in the centre of the city: oil burning, pyrometallurgical non‐ferrous metal processes, motor vehicles and soil resuspension. Their contributions to TSP estimated by regression on absolute principal component scores (APCS) were 12%, 8%, 5% and 4%, respectively. A similar analysis conducted for a sampling site close to the industrial area identified five major sources: oil burning, industrial Cr source, soil resuspension, pyrometallurgical non‐ferrous metal processes and motor vehicles with contributions 20%, 15%, 9%, 8% and 4%, respectively.