Physico-chemical characterization and source tracking of black carbon at a suburban site in Beijing

Particles from ambient air and combustion sources including vehicle emission, coal combustion and biomass burning were collected and chemically pretreated with the purpose of obtaining isolated BC (black carbon) samples. TEM (transmission electron microscopy) results indicate that BC from combustion sources shows various patterns, and airborne BC appears spherical and about 50 nm in diameter with a homogeneous surface and turbostratic structure. The BET (Barrett–Emmett–Teller) results suggest that the surface areas of these BC particles fall in the range of 3–23 m²/g, with a total pore volume of 0.03–0.05 cm³/g and a mean pore diameter of 7–53 nm. The nitrogen adsorption–desorption isotherms are indicative of the accumulation mode and uniform pore size. O₂-TPO (temperature programmed oxidation) profiles suggest that the airborne BC oxidation could be classified as the oxidation of amorphous carbon, which falls in the range of 406–490°C with peaks at 418, 423 and 475°C, respectively. Generally, the BC characteristics and source analysis suggest that airborne BC most likely comes from diesel vehicle emission at this site.     

碳源及电子受体对厌氧微生物降解对氯硝基苯的影响

为考察氯代硝基苯的共代谢降解过程中,有机碳源类型和电子受体对氯代硝基苯厌氧降解过程的影响,以对氯硝基苯(p-CNB,para-chloronitrobenzene)为目标污染物,通过间歇试验考察了葡萄糖、乙醇、乙酸钠等有机碳源及SO2--4、NO3等竞争性电子受体对厌氧微生物降解对氯硝基苯的影响。结果显示,葡萄糖、乙醇和乙酸钠作为碳源时,菌种获得的还原能力大小依次为:乙醇葡萄糖乙酸钠。SO2-4对菌种降解对氯硝基苯过程不产生竞争性抑制。NO-3对对氯硝基苯降解过程的影响与碳源的量有关,当乙醇-COD为100 mg/L时,硝酸盐产生竞争性抑制,且抑制作用随着NO-3浓度升高而增强;当乙醇-COD为600 mg/L时,硝酸盐对菌种降解对氯硝基苯过程不产生竞争性抑制作用。     

Source apportionment of perfluoroalkyl substances in surface sediments from lakes in Jiangsu Province, China: Comparison of three receptor models

Receptor models have been proved as useful tools to identify source categories and quantitatively calculate the contributions of extracted sources.In this study,sixty surface sediment samples were collected from fourteen lakes in Jiangsu Province,China.The total concentrations of C_4–C_(14)-perfluoroalkyl carboxylic acids and perfluorooctane sulfonic acid(∑_(12)PFASs) in sediments ranged from 0.264 to 4.44 ng/g dw(dry weight),with an average of 1.76 ng/g dw.Three commonly-applied receptor models,namely principal component analysis-multiple linear regression(PCA-MLR),positive matrix factorization(PMF) and Unmix models,were employed to apportion PFAS sources in sediments.Overall,these three models all could well track the ∑_(12) PFASs concentrations as well as the concentrations explained in sediments.These three models identified consistently four PFAS sources:the textile treatment sources,the fluoropolymer processing aid/fluororesin coating sources,the textile treatment/metal plating sources and the precious metal sources,contributing 28.1%,37.0%,29.7% and 5.3% by PCA-MLR model,30.60%,39.3%,22.4% and 7.7% by PMF model,and 20.6%,52.4%,20.2% and 6.8% by Unmix model to the ∑_(12) PFASs,respectively.Comparative statistics of multiple analytical methods could minimize individual-method weaknesses and provide convergent results to enhance the persuasiveness of the conclusions.The findings could give us a better knowledge of PFAS sources in aquatic environments.     

Use of oleaginous plants in phytotreatment of grey water and yellow water from source separation of sewage

Efficient and economic reuse of waste is one of the pillars of modern environmental engineering. In the field of domestic sewage management, source separation of yellow (urine), brown (faecal matter) and grey waters aims to recover the organic substances concentrated in brown water, the nutrients (nitrogen and phosphorous) in the urine and to ensure an easier treatment and recycling of grey waters. With the objective of emphasizing the potential of recovery of resources from sewage management, a lab-scale research study was carried out at the University of Padova in order to evaluate the performances of oleaginous plants (suitable for biodiesel production) in the phytotreatment of source separated yellow and grey waters. The plant species used were Brassica napus (rapeseed), Glycine max (soybean) and Helianthus annuus (sunflower). Phytotreatment tests were carried out using 20 L pots. Different testing runs were performed at an increasing nitrogen concentration in the feedstock. The results proved that oleaginous species can conveniently be used for the phytotreatment of grey and yellow waters from source separation of domestic sewage, displaying high removal efficiencies of nutrients and organic substances (nitrogen > 80%; phosphorous > 90%; COD nearly 90%). No inhibition was registered in the growth of plants irrigated with different mixtures of yellow and grey waters, where the characteristics of the two streams were reciprocally and beneficially integrated.     

桂林市流动源对大气细颗粒物的贡献研究

在桂林市2013年机动车保有量数据的基础上,参考清华大学开发的中国多尺度大气污染排放清单模型(MEIC)中的排放因子,估算流动源对大气细颗粒物的贡献。结果表明:桂林市区和桂林3大区域的流动源PM_(2.5)排放量分别为71.96和118.87t;按使用的燃料来分,柴油燃料对桂林市区和桂林3大区域PM_(2.5)贡献率较大,分别为94.07%和90.44%;按机动车类型来分,桂林市区和桂林3大区域的流动源PM_(2.5)主要贡献车型均为重型载货车、大型载客车、中型载货车,3大车型PM_(2.5)贡献率之和均超过80%。     

Characterization and sources of PAHs in an urban river system in Beijing,China

Water samples from 20 locations on rivers in the Tongzhou District of Beijing were collected four times from July 2005 to March 2006. In addition, sediment samples were collected in July 2005. All samples were analyzed for 16 US Environmental Protection Agency (EPA) priority pollutants polycyclic aromatic hydrocarbons (PAHs). The concentration, distribution, seasonal variation, and sources of the 16 PAH compounds identified in the water samples, suspended particles, and surface sediments were then evaluated. The concentrations of PAHs in the water and suspended particle and surface sediment samples ranged from 87.3 to 1,890 ng l⁻¹, 1,330 to 27,700 ng g⁻¹, and 156 to 8,650 ng g⁻¹, respectively. These results demonstrated that rivers in the Tongzhou District of Beijing had a high level of PAH pollution, especially in the suspended particles. The highest and lowest concentrations of PAHs in the water samples were observed in summer and spring. However, the seasonal variations in the concentration of PAHs in the suspended particles were more complicated. The dominant compounds in the water, suspended particle, and surface sediment samples were two-, three- and four-ring PAH compounds, respectively. Ratio analysis illustrated that fuel-burning was the primary source of PAHs in the study area. Gasoline, diesel, coal, and coke oven sources were identified and the contributions of the different fuel-burning sources were then calculated using factor analysis and multiple linear regression. These analyses revealed that coal combustion, gasoline combustion plus coke oven emission, and diesel combustion accounted for 38.8%, 38.5%, and 22.7% of the PAHs in suspended particles, respectively.     

基于隧道法的机动车对上海城市大气环境中氨的源排放贡献研究

以上海交通最为繁忙的隧道之一的邯郸路隧道为研究对象,设计了隧道内(进口、中段、出口)机动车NH_3排放因子测定实验和隧道外(垂直于隧道口310 m范围内)机动车NH_3排放环境扩散梯度实验。隧道内实验结果表明,隧道出口的ρ(NH_3)分别是隧道进口和外围环境质量浓度的5倍和11倍,机动车NH_3排放因子(平均值±标准差)为(28±5)mg/km。据此估算,2014年上海机动车的NH_3排放总量约为1 300 t,占该市NH_3排放量的12%。梯度实验表明,邯郸路隧道出口处的机动车NH_3排放一旦扩散到大气中,其对环境的影响强度在短短数十米内迅速降低,超过150 m的范围后影响基本趋同。证实了在交通路网密集的城市,机动车是大气环境NH_3的重要来源,进而对城市颗粒物污染有潜在贡献。     

大气颗粒物中铅污染来源解析技术

近年来,我国大气颗粒物中铅的污染比较严重,其来源比较复杂.大气颗粒物中铅污染来源的解析比较成熟的主要有同位素丰度比、无机多元素分析、质子微探针技术等方法,而序列提取、化学形态分析等技术还处于探索阶段.     

兰州市大气降尘中正构烷烃的分布特征及源解析

采集了2005年春季兰州市不同功能区大气降尘样品,采用气相色谱/质谱法测定样品中的正构烷烃。结果表明,降尘中正构烷烃主要有2种类型,一种是后峰型,以C29为主峰碳,大于C25正构烷烃具有明显的奇偶优势,碳优势指数(CPI)为1.25~1.40;另一种是双峰型,分别以C29,C20,C19,C15为主峰碳,在C25或C27后有明显的奇碳数优势,CPI为1.26~2.35。研究区内不同区域降尘中正构烷烃分布有明显的变化,相对清洁区正构烷烃分布为后峰型,主要来源于燃煤、高等植物的不完全燃烧。工业区、商业区、商业居民混合区正构烷烃分布属于双峰型,既有高等植物蜡的输入,也有汽车尾气、石油化工的输入,且人为源的贡献较大。     

崇明东滩滨海围垦湿地CO_2通量贡献区分析

利用通量贡献区模型(FSAM)对崇明东滩滨海围垦湿地生长季和非生长季的CO2通量贡献区(Footprint)进行分析,结果表明:(1)135°~225°方向为生长季主风向,而315°~45°方向为非生长季主风向。(2)在生长季主风向,大气稳定状态下的Footprint函数取得最大值时的位置(Xm)为96.84 m,90%的通量信息来源于迎风向41.04~378.20 m、垂直迎风向-79.73~79.73 m范围内;而大气不稳定状态下的Xm为75.28 m,90%的通量信息来源于迎风向33.83~257.07 m、垂直迎风向-82.29~82.29 m范围内。在非生长季主风向,大气稳定状态下的Xm为82.68 m,90%的通量信息来源于迎风向36.73~282.49 m、垂直迎风向-120.31~120.31 m范围内;而大气不稳定状态下的Xm为56.49 m,90%的通量信息来源于迎风向25.90~179.90 m、垂直迎风向-76.30~76.30 m范围内。(3)非主风向贡献区分布与主风向有相似的规律。在生长季和非生长季,大气稳定状态下的贡献区面积均要大于大气不稳定状态下的贡献区面积;而在相同的大气稳定状态下,生长季的贡献区面积要大于非生长季。(4)在非生长季,主风向观测的垂直迎风向范围要远大于其他风向,这可能和该条件下的横向风速脉动标准差与摩擦风速的比值(σv/u*)较大有关。