Facile synthesis of graphitic carbon-nitride supported antimony-doped tin oxide nanocomposite and its application for the adsorption of volatile organic compounds

Antimony-doped tin oxide(ATO) nanoparticles with an average size of ～ 6 nm were prepared by co-precipitation and subsequent heat treatment. Graphitic carbon nitride(g-CN)/ATO hybrid nanocomposite was designed by the combination of thermally synthesized g-CN and ATO nanoparticles by ultrasonication. The materials were characterized using N2 adsorption/desorption(BET), X-ray diffraction(XRD), scanning electron microscopy(SEM), energy dispersive spectroscopy(EDS), transmission electron microscopy(TEM) and Fourier transform infrared spectroscopy(FTIR). A mixture of five volatile organic compounds(VOCs, chloroform, benzene, toluene, xylene and styrene) was used to compare the adsorption capacity of the samples. The adsorption capacity of ATO nanoparticles was improved by the addition of g-CN. Experimental data showed that, among the five VOCs,chloroform was the least adsorbed, regardless of the samples. The g-CN/ATO showed nearly three times greater adsorption capacity for the VOC mixture than pure ATO. The unchanged efficiency of VOC adsorption during cyclic use demonstrated the completely reversible adsorption and desorption behavior of the nanocomposite at room conditions. This economically and environmentally friendly material can be a practical solution for outdoor and indoor VOC removal.     

美国污染场地清理的风险评估简介及政策制定

本文主要介绍美国加州污染场地清理的风险评估的概念,方法,计算和风险管理.从而引进挥发性污染物室内入侵风险评估方法来制定污染场地清理标准.讨论如何运用数学模型计算土壤清理浓度和挥发性污染物室内入侵风险评估.在风险评估基础上,加州环保署水质管理局颁布了地下储油罐低风险结案政策.政策中的污染场地清理定量标准是由人体健康风险评估方法计算得出.最后,用一个具体的美国加州洛杉矶案例介绍风险评估方法是怎样运用在污染场地清理修复中,以回答污染场地修复的关键问题"多干净算干净".     

污染场地调查动态追补钻井点位的方法研究

污染场地中的污染区域较小,但污染物的空间变异性大,污染土体较深,因而在场地调查中通常需采集场地钻井数据进行三维模拟.为了准确估计场地土壤污染物的空间分布和需修复的污染土方量,提出了场地污染调查补充采样钻井点位布设的优化方法.在初始采样的基础上,首先利用克里格方法预测场地中土壤污染物的克里格方差,基于克里格方差估算置信度,再结合场地置信度和场地污染物含量的空间分布确定场地的最大不确定性点,并将该点作为下一阶段补充采样点,以实现逼近式动态追补钻井点位的布设.最后,以某硝基苯污染的工业场地为例对该方法进行验证.结果表明:场地中硝基苯的空间变异性大,增加采样点会显著减少基台值,提高研究区总体的置信度,同时减少总体的不确定性.在项目经费约束条件下,不确定性减少65%时,需要至少增加采样点10个.10个样点的增加使得总体估值方差降低了40%,同时总体的估计精度提高了22.4%.案例结果验证了该方法在单一类有机污染场地中的可行性和适用性,能够在保证场地污染调查精度的同时,显著降低样本量,实现场地调查的成本-效益最大化.     

On-road emissions of CO, CO2 and NOX from four wheeler and emission estimates for Delhi

This study presents the emission factor of gaseous pollutants(CO, CO_2, and NO X) from on-road tailpipe measurement of 14 passenger cars of different types of fuel and vintage. The trolley equipped with stainless steel duct, vane probe velocity meter, flue gas analyzer, Nondispersive infra red(NDIR) CO_2 analyzer, temperature, and relative humidity(RH) sensors was connected to the vehicle using a towing system. Lower CO and higher NO X emissions were observed from new diesel cars(post 2010) compared to old cars(post 2005), which implied that new technological advancement in diesel fueled passenger cars to reduce CO emission is a successful venture,however, the use of turbo charger in diesel cars to achieve high temperature combustion might have resulted in increased NO X emissions. Based on the measured emission factors(g/kg), and fuel consumption(kg), the average and 95% confidence interval(CI) bound estimates of CO, CO_2,and NO X from four wheeler(4W) in Delhi for the year 2012 were 15.7(1.4–37.1), 6234(386–12,252),and 30.4(0.0–103) Gg/year, respectively. The contribution of diesel, gasoline and compressed natural gas(CNG) to total CO, CO_2 and NO X emissions were 7:84:9, 50:48:2 and 58:41:1respectively. The present work indicated that the age and the maintenance of vehicle both are important factors in emission assessment therefore, more systematic repetitive measurements covering wide range of vehicles of different age groups, engine capacity, and maintenance level is needed for refining the emission factors with CI.     

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%。     

大气细颗粒物中有机碳和元素碳监测方法对比

在线精确测量大气细颗粒物中有机碳(OC)和元素碳(EC)是研究碳质气溶胶形成和来源解析的重要科学基础.在线测定仪器选取不同的升温程序可能导致OC和EC观测数据差异,造成对研究结果的误判.对比分析在线OC/EC分析仪最常使用的RT-Quartz(R法)、NIOSH 5040(N法)和Fast-TC(F法)这3种温度协议下获得的OC和EC实际观测结果,结合北京空气污染程度,讨论了3种分析程序观测结果的异同.结果表明,3种分析程序对TC(TC=OC+EC)、OC和EC的测量均无显著性差异,但存在一定偏差.对TC的测量,R法比N法低5%,比F法高1%;对OC的测量,R法比N法低9%,比F法高1%;对EC的测量,R法比N法高20%,比F法低11%,其中R法温度协议在不同空气质量下对TC、OC和EC测量的变异系数均小于N法和F法.使用R法的在线分析与小流量PM2.5石英膜采样-离线分析所测定的TC、OC和EC结果的线性拟合斜率分别为1.21、1.14和1.35,R2TC、R2OC和R2EC分别为0.99、0.99和0.98;R法测定的EC浓度显著低于多角度吸收光度计(MAAP)测定的BC浓度.当BC8μg·m-3时,EC/BC为0.39,而当BC8μg·m-3,EC/BC为0.88.EC与BC变化趋势相近,但浓度值存在系统误差.     

2008~2010年北京城区大气BTEX的浓度水平及其O3 生成潜势

苯、甲苯、乙苯及二甲苯是典型的人为排放有机物,不仅危害人体健康还参与对流层的光化学反应,生成O3和二次有机气溶胶.为认知北京大气中BTEX的浓度水平,评估其O3生成潜势,于2007年12月～2010年11月使用被动采样和化学分析相结合的方法对BTEX和O3浓度进行了连续3 a的同步观测.结果表明,北京城区大气BTEX中甲苯的浓度高达(8.7±3.1)μg·m-3,其次为苯、乙苯和间对二甲苯,浓度分别为(7.1±3.3)、(4.2±1.4)和(3.4±1.5)μg·m-3.BTEX总浓度在春、夏、秋和冬季的平均值分别为(16.8±1.4)、(24.7±2.8)、(25.9±4.9)和(26.8±12.1)μg·m-3,冬季苯的浓度全年最高,而夏季甲苯浓度高于冬季.采用最大增量反应活性方法计算了北京城区大气BTEX夏季O3生成潜势,发现间对二甲苯的贡献最大.北京2008、2009和2010年夏季BTEX的O3生成潜势分别为65.2、60.2和75.7μg·m-3,与O3实际浓度的年际变化趋势一致(同期浓度分别为80.5、65.0和101.9μg·m-3).机动车尾气和溶剂挥发是北京城区大气BTEX的主要来源,冬季苯的浓度可能受取暖燃煤的影响,夏季溶剂挥发对BTEX影响更大,并对O3的生成有一定贡献.     

Null models reveal preferential sampling, spatial autocorrelation and overfitting in habitat suitability modelling

Nowadays, species are driven to extinction at a high rate. To reduce this rate it is important to delineate suitable habitats for these species in such a way that these areas can be suggested as conservation areas. The use of habitat suitability models (HSMs) can be of great importance for the delineation of such areas. In this study MaxEnt, a presence-only modelling technique, is used to develop HSMs for 223 nematode species of the Southern Bight of the North Sea. However, it is essential that these models are beyond discussion and they should be checked for potential errors. In this study we focused on two categories (1) errors which can be attributed to the database such as preferential sampling and spatial autocorrelation and (2) errors induced by the modelling technique such as overfitting, In order to quantify these adverse effects thousands of nulls models were created. The effect of preferential sampling (i.e. some areas where visited more frequenty than others) was investigated by comparing model outcomes based from null models sampling the actual sampling stations and null models sampling the entire mapping area (Raes and ter Steege, 2007). Overfitting is exposed by a fivefold cross-validation and the influence of spatial autocorrelation is assessed by separating test and training sets in space. Our results clearly show that all these effects are present: preferential sampling has a strong effect on the selection of non-random species models. Crossvalidation seems to have less influence on the model selection and spatial autocorrelation is also strongly present. It is clear from this study that predefined thresholds are not readily applicable to all datasets and additional tests are needed in model selection.     

平原河网地区农村生活污染入河机制

以太滆运河流域前黄镇和雪堰镇为研究区,设计农村生活非点源污染调查问卷,采用随机抽样的方法,调查了39个行政村中85个自然村的农村生活污染情况。通过对问卷的统计分析得到了厕所使用类型的比例、化粪池中上清液和固体残渣的去向以及生活垃圾处置等信息。在对农村生活污染进行分类的基础上,估算出该地区农村生活污染入河系数为:CODCr,6.6%～13.3%;TN,18.1%～18.6%;TP,8.2%～12.5%。     

气体质量流量控制器在汽车VOC检测领域的应用

汽车挥发性有机物组分(VOC)检测过程中,充气和采气体积的计量对检测结果的影响尤为突出.通过气体质量流量控制器与目前VOC检测中常用的恒流气体采样装置的比较,表明在同样满足VOC检测标准要求的情况下,气体质量流量控制器在排除环境干扰等方面体现出更好的稳定性,更有利于汽车VOC检测准确度的提高.