兰州市不同径粒大气颗粒物污染特征及气象因子的影响分析

空气污染程度与就诊率、呼吸道发病率及死亡率等有着密切的联系。兰州市在上世纪末曾被喻为卫星上看不到的城市,它的大气污染程度一直以来为人们所关注。利用2013年国家环保部公布的兰州市5个监测点（涵盖了4区1县）大气细粒子PM10及PM2.5的监测数据,针对全年的日均PM2.5与PM10质量浓度并结合了同期的气象因子进行分析研究,结果表明：春冬季为兰州大气中两种颗粒物的污染的高峰期（春季峰值为3月份,PM10及PM2.5质量浓度的月均值为309和103μg· m-3,超标倍数为1.062与0.436;冬季峰值为11月份,PM10及PM2.5质量浓度的月均值为203和85μg· m-3,超标倍数为0.353与0.7）,夏秋季为低谷（波谷为9月份,PM10及PM2.5的月均值为96和39μg· m-3,均低于国家标准）。PM2.5与PM10质量浓度比值均在0.4与0.5之间,呈一定的线性关系,大气污染较轻。当温度在-3~0℃之间时,大气中PM2.5与PM10质量浓度变化较剧烈。露点温度高于-3.15时,使得PM10的质量浓度下降明显;当日均露点温度高于1.85时,PM2.5的质量浓度随着露点温度的增大而降低,说明湿沉降对着两种粒子的清除作用明显。降水对大气中的两种颗粒物均呈现清除作用,但是在降水后PM10质量浓度迅速回升,但PM2.5质量浓度却变化不大。风向偏西时,大气中细颗粒污染物浓度增加。风速的增加对PM2.5有一定的清除作用,但由于兰州市的地貌特征,使得大气中PM10的质量浓度增加。上述结果为兰州市大气污染的监测与治理及大气污染预报提供了重要的依据。     

气相抽提去除红壤中挥发性有机污染物的去污机理探讨

通过探讨土壤气相抽提去除红壤中挥发性有机污染物的去污机理,建立了一维稳态条件下污染物在土壤多孔介质中传质的总微分方程,分别求出了平衡模型和动力学模型的解析解和数值解,并用实验结果对平衡模型和动力学模型进行了模拟和验证.实验结果和模型模拟结果表明理论模型与实验结果吻合良好,平衡模型和动力学模型在描述污染物在土柱通风过程中的传质时,分别适用于不同的阶段.在通风初期平衡模型能够很好地描述实验结果,而随着时间的推移,平衡模型的预测曲线逐渐偏离数据点,到了通风中后期,只有动力学模型才能够较好地描述和预测实验结果.     

Discovery of emerging organic pollutants in the atmosphere through an omics approach

● We review the framework of discovering emerging pollutants through an omics approach. ● High-resolution MS can digitalize atmospheric samples to full-component data. ● Chemical features and databases can help to translate untargeted data to compounds. ● Biological effect-directed untargeted analyses consider both existence and toxicity. Ambient air pollution, containing numerous known and hitherto unknown compounds, is a major risk factor for public health. The discovery of harmful components is the prerequisite for pollution control; however, this raises a great challenge on recognizing previously unknown species. Here we systematically review the analytical techniques on air pollution in the framework of an omics approach, with a brief introduction on sample preparation and analysis, and in more detail, compounds prioritization and identification. Through high-resolution mass spectrometry (HRMS, typically coupled with chromatography), the complicated environmental matrix can be digitalized into “full-component” data. A key step to discover emerging compounds is the prioritization of compounds from massive data. Chemical fingerprints, suspect lists and biological effects are the most vital untargeted strategies for comprehensively screening critical and hazardous substances. Afterward, compressed data of compounds can be identified at various confidence levels according to exact mass and the derived molecular formula, MS libraries, and authentic standards. Such an omics approach on full-component data provides a paradigm for discovering emerging air pollutants; nonetheless, new technological advancements of instruments and databases are warranted for further tracking the environmental behaviors, hence to evaluate the health risk of key pollutants.     

LC-MS/MS determination of pesticide residues in fruits and vegetables

The aim of the research is to evaluate pesticide residue contamination of fresh and frozen fruits and vegetables, agricultural raw material, purchased from Polish farmers for production of frozen fruits and vegetables, and the estimation of the multiresidue method effectiveness expressed as the proportion of pesticides detected in food samples to the total number of pesticides analyzed by multiresidue methods. A total of 144 samples (of black currants, red currants, raspberries, cherries, strawberries, blackberries, cauliflowers and broccoli) were analyzed using LC-MS/MS method for the determination of 60 pesticides. QuEChERS extraction, matrix-matched calibration and dynamic multiple reaction monitoring method were used. Residues of 15 compounds, mainly fungicides and insecticides, were detected in 46 samples. The percentage of samples with residues above the maximum residue levels (MRL) was 15%, whereas samples with residues below MRL were 17%. A total of 13 samples contained more than one pesticide residue. Pesticide residues were detected most often in samples of black currants (50%), broccoli (36.4%), raspberries (29%) and red currants (21.8%). The most frequently detected pesticides were carbendazim and acetamiprid. The proportion of pesticides detected during our study to the total number of analyzed pesticides amounted to 25%. It was compared to literature findings. For three fourth of multiresidue methods, the proportion was below 50% for methods developed for the analysis of less than 100 pesticides, and below 30% for methods developed for the analysis of more than 100 pesticides. It appears that a lot of efforts and means is lost on pesticides never or rarely detected in examined samples. The workload and cost effectiveness of the development and application of multiresidue methods along with the range of pesticides covered by the method should be carefully and thoroughly considered anytime when a new method or workflow is developed. Including non-targeted screenings in pesticide residue control seems to be an alternative worth considering.     

气质联用分析加硫酸化污泥中的有机酸

分别采用两种前处理方法分离富集加硫酸化污泥中的有机酸.方法一,利用阴离子交换树脂分离富集有机酸,在不洗脱的情况下直接和乙醇进行酯化反应,然后进行气质联用分析;方法二,利用活性炭纤维吸附型固相微萃取(ACF-SPME)的方法,顶空萃取分离后进行气质联用分析.两种方法的分析结果都未检测到酸化污泥中存在短链的有机酸,只检测到个别长链的和带苯环结构的有机酸.     

珠三角秋冬季节长时间灰霾污染特性与成因

利用珠三角大气超级站2012年10月与2013年1月能见度、不同粒径颗粒物与BC质量浓度、气溶胶光散射系数、O3、相对湿度等在线监测数据,分析秋冬季节2次持续时间超过10 d的长时间灰霾过程污染特性与成因。结果表明,冬季灰霾过程中气溶胶吸光系数和光散射系数对大气总消光系数的贡献分别为13%和67%;PM2.5、PM1占PM10质量浓度分别为66%和39%;较高的PM2.5与BC日均浓度相关系数(R2=0.88)体现了一次排放对颗粒物质量浓度及能见度的显著影响。秋季灰霾过程中气溶胶吸光系数和光散射系数对大气总消光系数的贡献分别为11%和69%,由BC导致的吸光效应较冬季下降了约20%;PM2.5和PM1占PM10质量浓度比例分别为68%和45%,均高于冬季;O3浓度日最大小时值的平均值接近冬季的2倍;二次来源对PM2.5浓度升高和能见度下降起主导作用。来自不同方向的2种气团在珠三角僵持,大气扩散条件差是导致这2次灰霾过程的重要外在条件,应成为灰霾预报预警的重点关注对象。     

氢化物发生-原子荧光法测定环境水样中痕量锡

以醋酸 醋酸钠缓冲溶液为反应酸介质 ,应用氢化物发生 原子荧光法 (HG AFS)测定环境水样中痕量 Sn。该方法同 HCl为反应酸测 Sn方法相比 ,不仅扩大了酸浓度测定范围 ,某些阳离子干扰也降至最小或消除。其相对标准偏差(RSD)小于 3% ;回收率在 94 4 %～ 1 0 0 %之间 ;检测限为 0 76 μg L。     

城市轨道交通噪声评价方法及其限值的研究

根据城市轨道交通噪声时、空分布特点及污染规律,对轨道交通噪声评价量作了分析研究,提出了列车通过时的最大声级作为城市轨道交通噪声的评价量,并根据噪声时问分布特性曲线提出了与之相对应的等效声级简易计算方法.通过对上海轨道交通3号线沿线居民区的主、客观调查,得到主观烦恼度阈值和干扰睡眠阈值,提出了适用于我国城市轨道交通的环境噪声限值(建议).     

顶空气质联用法测定水中四乙基铅、松节油和丙烯腈

利用顶空气相色谱-质谱(HS/GC-MS)联用法对水中的四乙基铅、松节油和丙烯腈进行了检测分析,优化了实验参数。该方法线性关系良好,相关系数为0.997 0~0.999 9, 检出限为0.1~1.2 μg/L;方法用于饮用水、生活污水和工业废水中四乙基铅、松节油和丙烯腈的测定,并进行加标回收率实验,加标回收率为94.5%~104.4%;相对标准偏差为4.4%~9.5%。结果表明,方法能用于饮用水和废水中四乙基铅、松节油和丙烯腈的测定,效果满意。