气体停留时间对生物滤池去除恶臭和微生物气溶胶影响

气体停留时间是影响生物滤池去除恶臭和微生物气溶胶的重要因素之一。采用小试规模的生物滤池研究了气体停留时间对城市污水处理工艺恶臭和微生物气溶胶去除特性的影响。研究结果表明:随着气体停留时间的增加,硫化氢和氨的去除率随之增加,而异养细菌和真菌的去除率降低,低的气体停留时间利于微生物气溶胶的去除,保证硫化氢、氨和微生物气溶胶均能同时高效去除的气体停留时间为40 s。随着气体停留时间的增加,生物滤池出气中分布于stage1、stage2和stage3的大粒径微生物粒子所占比例减小,而分布于stage5和stage6的小粒径微生物粒子所占比例增加。在低的气体停留时间下,生物滤池出气微生物气溶胶潜在的健康风险更大。     

大气中臭氧行为研究进展

臭氧（O3）是一种重要的大气微量气体,是影响对流层——平流层大气动力、热力、辐射、化学等过程的关键成分,在气候和环境变化中扮演非常重要的角色。本文从臭氧在大气中的行为机理入手,研究影响臭氧源和汇的因子,了解臭氧含量变化机制,对当前臭氧研究热点进行概括和总结,展望未来研究重要问题。     

西安市夏季大气中生物二次有机气溶胶的分子组成与粒径分布

2011年夏季8月,在西安交通大学主楼顶（距离地面约100 m）运用MOUDI采样器采集了5套不同粒径大气气溶胶样品,经TMS硅烷化后运用GC/MS定量分析了生物二次有机气溶胶（BSOA）异戊二烯氧化产物（2-甲基丁四醇, C₅-烯三醇和2-甲基甘油酸）、单蒎烯类氧化产物（顺蒎酸,蒎酮酸,3-羟基戊二酸和3-甲基-1,2,3-丁三酸）以及倍半萜烯氧化产物（倍半萜烯酸）浓度。结果显示：西安城区大气BSOA中主要以异戊二烯类为主,其次是单萜烯和倍半萜烯类BSOA,其氧化所产生的生物二次有机碳（BSOC）浓度分别为0.39 μgC·m^-3,0.13 μgC·m^-3和0.10 μgC·m^-3。粒径分布研究表明：BSOA主要富集在细颗粒物上。MBTCA/CPA特征比值表明：采样期间西安城区BSOA主要来自本地源,老化程度较低。     

灰霾天气成因危害及控制治理

随着经济社会发展、城市迅速扩大和城市化进程加快,大气气溶胶污染日趋严重,由气溶胶颗粒物造成能见度恶化事件越来越多,灰霾天气已成为一种常见环境灾害污染事件。简要概述了灰霾天气定义分级、分布特征与雾霾比较,深入研究了灰霾天气形成原因、影响因素与存在危害,系统探讨了灰霾天气控制措施、监测方法与治理对策。指出在现有灰霾天气成因危害及控制治理状况下,加强理念宣贯,建立预报预警,开展PM2.5防治,推进城区绿化,科学布设规划,可有效解决中国资源节约型、环境友好型、生态文明型可持续发展过程中所面临灰霾天气防控治理问题。     

区域空气质量模拟中查表法的应用研究

在自行开发完善的区域空气质量模式系统RegSRRMS中应用查表法,模拟中国典型城市群对流层大气主要污染物的浓度变化,评估该方法在大气复合污染事件预测和控制中的有效性.首先,利用具有国际先进水平的空气质量模式WRF-CHEM中的化学模块建立了包含完善气相化学、气溶胶过程的箱模式WRFBOX.其次,利用WRFBOX进行化学反应敏感性分析,基于影响污染物的重要因子分别建立了臭氧(O3)及其前体物、无机盐气溶胶和二次有机气溶胶(SOA)查算表数据库,并检验其有效性.最后,将此查算表数据库引入RegSRRMS,建立简化的查表算法.利用直接耦合机制法和查表法对2000年3月珠三角地区污染个例中主要大气污染物浓度进行模拟.通过比较2种方法的模拟结果,显示查表法计算效率提高了57%,能够反映大气光化学反应的非线性特征、气溶胶及其前体物的平衡关系,具有高分辨率、高时效性,能够方便快捷地给出源和受体之间的响应关系,结果可靠.在区域空气质量模式中应用查表法有利于大气污染事件的快速预测以及大气污染控制的快速决策.     

北京大气气溶胶中水溶性离子的粒径分布和垂直分布

2004-09在北京325 m气象塔的8、80、240 m 3个不同高度,利用Andersen分级采样器同步进行了大气气溶胶采样.样品用离子色谱（IC）进行了分析.结果表明,SO₄^2-, NH⁺₄、NO^-₃、K⁺的浓度在0.43～1.1 μm出现峰值;Ca²⁺、Mg²⁺的浓度在4.7～5.8 μm出现峰值;Na⁺,Cl^-的浓度在0.65～1.1 μm和4.7～5.8 μm出现峰值.观测期间,二次离子（SO₄^2-, NH⁺₄、NO^-₃）的峰值从“凝结模态"向“液滴模态"移动,高湿度可能是形成液滴模态的重要原因.二次离子（SO₄^2-,NH⁺₄、NO^-₃）随着高度升高,浓度有增加的趋势;Ca²⁺、Mg²⁺在80 m出现高值;K⁺、Na⁺、Cl^-的垂直分布比较均匀.     

WPSTM-TEOMTM-MOUDITM的对比及大气气溶胶密度研究

通过对2005年夏季上海、北京地区大气气溶胶观测中3种不同原理气溶胶分析及采样仪的对比,考察了颗粒物个数浓度粒径分布仪（WPS^TM）、锥形元件振荡微量天平（TEOM^TMTM）在运行中所得数据的可比性.其中TEOM^TM测量PM_2.5质量浓度与WPS^TM计算PM_2.5质量浓度数据的相关系数分别为0.77和0.79,并发现在粗粒子颗粒物比例较高的时段二者相关性分别提高为0.91和0.84.MOUDI^TM分级质量浓度与WPS^TM计算分级质量浓度数据对比显示,除最小粒径分级外其他分级均有较好相关性（R分布在0.76～0.92）.应用2组不同对比数据推测了上海和北京观测点PM_2.5颗粒物密度,研究发现上海采样点颗粒物密度约为1.70 g·cm^-3,而北京采样点颗粒物密度约为1.50 g·cm^-3.     

Spatial distribution of aerosol pollution based on MODIS data over Beijing, China

With the help of regression analysis,the relationships were detected between aerosol's contribution to apparent reflectance(ACR) derived from Moderate Resolution Imaging Spectroradiometer(MODIS)on board Terra and hourly PM_(10)mass concentration measured at 30 ground-based locations in Beijing for the August of 2003 and 2004.It was shown that there was a good correlation between the ACR and PM_(10)(linear correlation coefficient,R=0.56).On the basis of this relationship,spatial distribution and possible sources of PM_(10)derived from MODIS were analyzed and two frequently heavily-polluted regions were found,namely downtown of the city and the district near Xishan Mountain.These two regions coincidently are also urban heat island centers.The foundings of this paper will be greatly useful for environmental monitoring and urban planning for Beijing,especially for the 2008 Olympic game to be held in Beijing.     

Modeling of air quality with a modified two-dimensional Eulerian model： A case study in the Pearl River Delta （PRD） region of China

A modified two-dimensional Eulerian air quality model was used to simulate both the gaseous and particulate pollutant concentrations during October 21-24, 2004 in the Pearl River Delta （PRD） region, China. The most significant improvement to the model is the added capability to predict the secondary organic aerosols （SOA） concentrations because of the inclusion of the SOA formation chemistry. The meteorological input data were prepared using the CALMET meteorological model. The concentrations of aerosol-bound species such as NO3^-, NH4^＋, SO4^2-, and SOA were calculated in the fine particle size range （〈2.5 μm）. The results of the two-dimensional model were compared to the measurements at the ground level during the PRD Intensive Monitoring Campaign （IMC）. Overall, there were good agreements between the measured and modeled concentrations of inorganic aerosol components and O3. Both the measured and the modeled results indicated that the maximum hourly O3 concentrations exceeded the China National Air Quality Standard. The predicted 24-h average SOA concentrations were in reasonable agreement with those predicted by the method of minimum OC/EC ratio.     

Effects of seed aerosols on the growth of secondary organic aerosols from the photooxidation of toluene

Hydroxyl radical （.OH）-initiated photooxidation reaction of toluene was carried out in a self-made smog chamber. Four individual seed aerosols such as ammonium sulfate, ammonium nitrate, sodium silicate and calcium chloride, were introduced into the chamber to assess their influence on the growth of secondary organic aerosols （SOA）. It was found that the low concentration of seed aerosols might lead to high concentration of SOA particles. Seed aerosols would promote rates of SOA formation at the start of the reaction and inhibit its formation rate with prolonging the reaction time. In the case of ca. 9000 pt/cm^3 seed aerosol load, the addition of sodium silicate induced a same effect on the SOA formation as ammonium nitrate. The influence of the four individual seed aerosols on the generation of SOA decreased in the order of calcium chloride〉sodium silicate and ammonium nitrate〉ammonium sulfate.