南京地区相对湿度对气溶胶含量的影响

为了研究南京地区相对湿度对气溶胶的影响,利用位于南京信息工程大学的拉曼-瑞利-米氏激光雷达,分析湿度廓线对消光系数的影响;利用2014年3月~2015年2月国控点环境监测数据对可吸入颗粒物浓度特征进行统计,并与相对湿度进行逐月和四季对比分析,并计算各参数之间的相关系数,以期为南京市的城市布局与规划、大气污染治理等提供更多参考.结果表明,低空气溶胶的消光系数廓线与相对湿度廓线变化趋势高度一致,地面相对湿度与可吸入颗粒物浓度在一定湿度范围（以不发生重力沉降为界限）内,相对湿度越大越有利于颗粒物的形成,超过这个范围,相对湿度越大,颗粒物浓度越低,在南京地区,对于PM₁₀来说,这个界限在40%~49%,对于PM_2.5来说,这个界限在50%~59%.     

经手口途径摄入室内含PAHs灰尘颗粒的致癌风险评价

为了探究经手口途径摄入被PAHs污染室内灰尘的致癌风险,构建了居民经手口途径摄入被污染室内灰尘颗粒的概率风险模型,运用蒙特卡罗模拟方法评价了中国上海地区居民由PAHs引起的致癌风险,分析了致癌风险的主要来源及手口途径中各参数的重要程度。结果表明:幼儿和儿童所承受的风险最大,婴儿和成年人次之,青少年和老年人较小;对于致癌风险,幼儿和儿童超过10-6的概率都为80%,但超过10-4的概率都小于5%,婴儿和成年人超过10-6的概率都为50%,但婴儿超过10-4的概率小于5%,成年人的小于0.1%,青少年和老年人超过10-6的概率分别为10%和15%,不会高于10-4;室内硬表面灰尘引起的致癌风险远大于软表面灰尘引起的致癌风险;与致癌风险相关性最大的因素为灰尘颗粒中PAHs的等效斜率、灰尘在室内软硬表面的浓度、手到口途径发生的频率和颗粒物从手掌皮肤表面到口腔的转移率。     

镇江市大气环境承载力研究

根据前人对大气环境容量和环境承载力计算的对比分析,计算2012年镇江市的大气环境容量和大气环境承载力指数,通过对该市的气象条件和地理位置的分析,选取SO_2、NO_x和PM_(10)这3种主要大气污染物,并分析其环境承载状况。结果表明:句容市、丹阳市、杨中市处于高承载的状态,临界超载、严重超载和超载的3个区分别是润州区、京口区和镇江新区,针对这3个区提出相应改进措施。     

西安市一次严重霾污染天气特征及气象条件分析

为了解西安市气象条件对霾污染天气的影响,利用西安市13个测点PM2.5逐时监测资料和气温(T)、风向(WD)、风速(WS)、相对湿度(RH)、气压(p)以及能见度(VIS)等地面气象观测数据,对西安市2013年12月16—26日发生的一次严重霾污染过程进行分析。结果表明:此次霾污染过程中,西安市PM2.5日均值浓度最高达744μg/m3,超过国家二级标准近10倍,能见度最低降至0.42 km,重霾污染期间PM2.5/PM10在64%~80%。分析认为高相对湿度、低风速和主导风向不明显以及大气层结稳定是造成本次霾污染天气的主要气象因素,其中大气能见度与风速和大气压呈正相关,其相关系数(r)分别为0.3162、0.3479,能见度与温度的相关系数r=0.0825,呈微弱正相关,能见度和相对湿度的相关系数r=-0.7465,呈显著负相关。细颗粒物对能见度的影响非常明显,二者之间的相关系数为-0.7290,细颗粒污的消光系数最高达9.2 km-1。     

一种有机硅改性丙烯酸防污涂料的研究

目的通过在丙烯酸树脂分子中引入有机硅,制备一种具有低表面能的有机硅改性丙烯酸树脂CP-CC021。方法探讨合成工艺中有机硅单体和引发剂含量以及添加纳米级Si O2粒子填料对涂层性能的影响规律。结果获得了最大接触角的最佳工艺条件,添加纳米Si O2粒子增大了涂层的表面粗糙度,在涂层表面形成了大量微-纳结构状的突起,显著提高涂层的疏水性能。结论有机硅单体(VTMS)质量分数为23.0%,引发剂(AIBN)质量分数为0.50%,纳米Si O2粒子添加量(质量分数)为7.4%,得到的涂层接触角为126.1°。     

Kinetic study of phytotoxicity induced by foliar lead uptake for vegetables exposed to fine particles and implications for sustainable urban agriculture

At the global scale, foliar metal transfer occurs for consumed vegetables cultivated in numerous urban or industrial areas with a polluted atmosphere. However, the kinetics of metal uptake, translocation and involved phytotoxicity was never jointly studied with vegetables exposed to micronic and sub-micronic particles (PM). Different leafy vegetables (lettuces and cabbages) cultivated in RHIZOtest® devices were, therefore, exposed in a greenhouse for 5, 10 and 15 days to various PbO PM doses. The kinetics of transfer and phytotoxicity was assessed in relation to lead concentration and exposure duration. A significant Pb accumulation in leaves (up to 7392 mg/kg dry weight (DW) in lettuce) with translocation to roots was observed. Lead foliar exposure resulted in significant phytotoxicity, lipid composition change, a decrease of plant shoot growth (up to 68.2% in lettuce) and net photosynthesis (up to 58% in lettuce). The phytotoxicity results indicated plant adaptation to Pb and a higher sensitivity of lettuce in comparison with cabbage. Air quality needs, therefore, to be considered for the health and quality of vegetables grown in polluted areas, such as certain megacities (in China, Pakistan, Europe, etc.) and furthermore, to assess the health risks associated with their consumption.     

含硫废水受控氧化及单质硫团聚过程研究

采用过氧化氢在常温常压下对模拟含硫废水进行受控氧化,探讨了受控氧化过程对单质硫收率的影响,并对氧化过程中固相产物的形态特性进行了研究.结果表明,在过氧化氢投加量为9 m L·L-1、初始p H为6、反应时间为10min条件下,将反应体系氧化还原电位(ORP)控制在(30±5)m V时能较好实现含硫废水的受控氧化,此时单质硫收率达76.35%,当体系ORP由(-50±5)m V升高至(50±5)m V时,副产物S2O2-3收率显著下降,由26.54%下降至5.32%.X射线衍射分析表明,氧化过程中的固相产物主要为正交晶系斜方硫;扫描电子显微镜分析表明,液相中的单质硫由多个极小的颗粒聚集而成,其粒径由纳米级逐渐增大至微米级.同时,通过向反应体系中加入分散剂证明了单质硫颗粒增大的主要原因是颗粒间发生了团聚.     

南宁市区交通环境空气颗粒物中碳组分的污染特征分析研究

含碳颗粒物是大气颗粒物的重要组成部分,对人体健康产生很大的威胁.分别于2012年夏季及2013年冬季在南宁市选取六条主要交通干道采集了PM10、PM2.5样品,分析测定了其中的碳组分.结果表明,碳组分浓度季节变化明显.碳组分在细颗粒物中占有比重比在可吸入颗粒物中大.存在二次有机碳污染.对8种碳组分丰度分析说明南宁市大气颗粒物中碳组分的主要来源是燃煤、机动车尾气及生物质样品燃烧.     

Analysis of the Trend and Seasonal Cycle of Carbon Monoxide Concentrations in an Urban Area (4 pp)

Background, Aim and Scope Air quality is an field of major concern in large cities. This problem has led administrations to introduce plans and regulations to reduce pollutant emissions. The analysis of variations in the concentration of pollutants is useful when evaluating the effectiveness of these plans. However, such an analysis cannot be undertaken using standard statistical techniques, due to the fact that concentrations of atmospheric pollutants often exhibit a lack of normality and are autocorrelated. On the other hand, if long-term trends of any pollutant’s emissions are to be detected, meteorological effects must be removed from the time series analysed, due to their strong masking effects. Materials and Methods The application of statistical methods to analyse temporal variations is illustrated using monthly carbon monoxide (CO) concentrations observed at an urban site. The sampling site is located at a street intersection in central Valencia (Spain) with a high traffic density. Valencia is the third largest city in Spain. It is a typical Mediterranean city in terms of its urban structure and climatology. The sampling site started operation in January 1994 and monitored CO ground level concentrations until February 2002. Its geographic coordinates are W0°22′52″ N39°28′05″ and its altitude is 11 m. Two nonparametric trend tests are applied. One of these is robust against serial correlation with regards to the false rejection rate, when observations have a strong persistence or when the sample size per month is small. A nonparametric analysis of the homogeneity of trends between seasons is also discussed. A multiple linear regression model is used with the transformed data, including the effect of meteorological variables. The method of generalized least squares is applied to estimate the model parameters to take into account the serial dependence of the residuals of this model. This study also assesses temporal changes using the Kolmogorov-Zurbenko (KZ) filter. The KZ filter has been shown to be an effective way to remove the influence of meteorological conditions on O₃ and PM to examine underlying trends. Results The nonparametric tests indicate a decreasing, significant trend in the sampled site. The application of the linear model yields a significant decrease every twelve months of 15.8% for the average monthly CO concentration. The 95% confidence interval for the trend ranges from 13.9% to 17.7%. The seasonal cycle also provides significant results. There are no differences in trends throughout the months. The percentage of CO variance explained by the linear model is 90.3%. The KZ filter separates out long, short-term and seasonal variations in the CO series. The estimated, significant, long-term trend every year results in 10.3% with this method. The 95% confidence interval ranges from 8.8% to 11.9%. This approach explains 89.9% of the CO temporal variations. Discussion The differences between the linear model and KZ filter trend estimations are due to the fact that the KZ filter performs the analysis on the smoothed data rather than the original data. In the KZ filter trend estimation, the effect of meteorological conditions has been removed. The CO short-term componentis attributable to weather and short-term fluctuations in emissions. There is a significant seasonal cycle. This component is a result of changes in the traffic, the yearly meteorological cycle and the interactions between these two factors. There are peaks during the autumn and winter months, which have more traffic density in the sampled site. There is a minimum during the month of August, reflecting the very low level of vehicle emissions which is a direct consequence of the holiday period. Conclusions The significant, decreasing trend implies to a certain extent that the urban environment in the area is improving. This trend results from changes in overall emissions, pollutant transport, climate, policy and economics. It is also due to the effect of introducing reformulated gasoline. The additives enable vehicles to burn fuel with a higher air/fuel ratio, thereby lowering the emission of CO. The KZ filter has been the most effective method to separate the CO series components and to obtain an estimate of the long-term trend due to changes in emissions, removing the effect of meteorological conditions. Recommendations and Perspectives Air quality managers and policy-makers must understand the link between climate and pollutants to select optimal pollutant reduction strategies and avoid exceeding emission directives. This paper analyses eight years of ambient CO data at a site with a high traffic density, and provides results that are useful for decision-making. The assessment of long-term changes in air pollutants to evaluate reduction strategies has to be done while taking into account meteorological variability     

大气固定污染源低浓度颗粒物采样及分析技术研究进展

简述了我国现阶段大气固定污染源颗粒物监测中遇到的问题及低浓度颗粒物采样与分析技术研究的必要性,归纳了国外低浓度颗粒物采样分析技术要点,包括大体积采样、滤筒上游采样设备堆积颗粒物的回收、有效称重步骤的确立等,并对我国开展低浓度颗粒物采样及分析技术研究提出了相关建议.