大气PM_（2.5）在线监测仪对SO_4~（2-）、NO_3~-和NH_4~＋的测定评价

通过两套大气细颗粒物（PM2.5）水溶性离子在线监测仪与蜂巢式固气分离器膜采样系统作对比,评估了在线监测仪器对主要水溶性组分SO24-、NO3-和NH4＋的测定结果.美国URG公司生产的在线连续监测分析系统（AIM URG-9000B）对NH4＋和NO3-的监测结果较好,但对SO24-的测定结果存在明显高估,其原因是AIM的平板溶蚀器系统无法完全去除大气中高浓度SO2,从而对SO24-的测定结果有干扰.为解决这一问题,进行了一系列实验,结果表明采用两个溶蚀器串联并用5 mmol.L-1H2O2＋5 mmol.L-1NaOH混合溶液作吸收液时,高浓度的SO2（甚至达到260μg.m-3）可以被完全吸收而对SO24-的测定结果不产生影响.由荷兰能源研究所（ECN）、Metrohm和Applikon共同研制的在线气体组分及气溶胶监测系统（MARGA,ADI2080）对NH4＋和SO24-的监测结果较好,可以满足实验要求;但NO3-的测定结果偏高,其准确性需作进一步评估.新型监测仪器在不同大气环境中投入使用前需进行对比测试,以确定其准确性和精确性.     

Selective reduction of NO by photo-SCR with ammonia in an annular fixed-film photoreactor

Gaseous NO was photocatalytically reduced at room temperature by photo-assisted selective catalytic reduction (photo-SCR) with ammonia over TiO₂ in this study. NO reduction efficiency and N₂ selectivity were determined from gases composition at the outlet stream of photoreactor. Effect of operating conditions, e.g. light intensity and inlet concentrations of ammonia and oxygen, on the NO reduction efficiency and N₂ selectivity were discussed to determine the feasible operating condition for photocatalytic reduction of NO. Experimental results showed that selective catalytic reduction of NO with ammonia over TiO₂ in the presence of oxygen was a spontaneous reaction in dark. The photoirradiation on the TiO₂ surface caused remarkable photocatalytic reduction of NO to form N₂, NO₂, and N₂O under 254 nm UV illuminations, while almost 90% of N₂ selectivity was achieved in this study. The ammonia and oxygen molecules played the roles of reductant and oxidant for NO reduction and active sites regeneration, respectively. The reduction of NO was found to be increased with the increase of inlet ammonia and oxygen concentrations until specific concentrations because of the limited active sites on the surface of TiO₂. The kinetic model proposed in this study can be used to reasonably describe the reaction mechanism of photo-SCR.     

2006─2010年环保重点城市主要污染物浓度变化特征

利用2006─2010年全国环保重点城市的空气质量日报数据,分析了大气ρ(SO2)、ρ(NO2)和ρ(PM10)的变化特征. 结果表明:从年际变化看,ρ(SO2)和ρ(PM10)呈下降趋势,ρ(NO2)变化不显著.从季节变化看,ρ(SO2)、ρ(NO2)和ρ(PM10)均呈冬季高、夏季低的特征.从浓度谱分布看,全国大气中ρ(SO2)、ρ(NO2)和ρ(PM10)分别集中在0～0.150、0～0.100和0～0.250 mg/m3范围内,ρ(SO2)和ρ(PM10)谱峰区间逐渐向低浓度范围偏移,高浓度事件逐渐减少,表明SO2和PM10污染得到较明显的控制,而ρ(NO2)谱峰变化不大.从浓度变化看,山西ρ(SO2)、ρ(NO2)和ρ(PM10)下降最明显,年变化率分别为-11.2、-3.6和-14.2 μg/m3;青海ρ(SO2)、山东ρ(NO2)和ρ(PM10)的上升趋势最明显,年变化率分别为4.4、2.7和4.5 μg/m3.      

利用SCIAMACHY遥感资料研究我国NO2柱浓度及其时空分布

利用SCIAMACHYENVISAT 2003—2009年月均观测数据,结合1∶4 000 000行政区划图,得到了近7 a来我国城市级别NO₂柱浓度的时空分布和变化趋势,并采用Seasonal Mann-Kendall非参数检验方法对各城市的变化趋势进行了显著性分析. 结果表明:我国NO₂分布东高西低,NO₂柱浓度高值区主要分布在京津冀及环渤海区域、长江三角洲北部及广东省等地区. 近7 a来我国北部和中部地区的NO₂增长趋势显著,NO₂柱浓度平均值最高和增速最快的前20个城市主要分布在江苏、山东和安徽等省的二级城市郊县和小城市. 与统计年鉴工业废气排放数据的比较表明,工业废气排放与NO₂柱浓度及其时空分布具有较好的一致性. 这种新的NO₂污染格局应该引起重视并采取有针对性的污染监管措施.      

东湖沉积物中dNaR活性和硝酸盐还原菌的垂向分布

测定了武汉东湖污染负荷不同的3个点位(污染负荷为3号>2号>1号)柱状沉积物中异化性硝酸还原酶(dNaR)活性以及硝酸盐还原菌数量、TOC、TN、NO3--N的垂向变化,分析了dNaR活性与硝酸盐还原菌数量、TOC、TN、NO3--N的相关性.结果表明,不同点位沉积物中dNaR活性不同,污染负荷最高的3号点位dNaR活性最高,污染负荷最低的1号点活性最低.不同点位沉积物中dNaR活性在垂向分布上具有相似特征:0~15cm沉积物中活性较大,15cm以下随着深度的增加,酶活性迅速降低.硝酸盐还原菌数量在垂向分布上随着深度的增加而减小. dNaR活性与TOC、TN不具有相关性,而与NO3--N呈正相关(P<0.05);dNaR活性与硝酸盐还原菌数量呈显著性相关(P<0.01).     

南充市城市空气质量变化及达标分析

为了掌握南充市近年来城市空气质量变化及其达标情况,对南充市城区2008～2012年SO2、NO2和PM10的质量浓度数据进行统计分析,并计算各个站点的空气污染指数和空气质量指数。结果表明,3种污染物浓度值都有明显的下降趋势,S02浓度在0．002～0．052mg／m^3之间变化;N02浓度值从0．042mg／m^3下降到0．029mg／m^3;PM10浓度在0．060～0．063mg／m^3之间波动。南充市空气质量冬季较差,夏季较好。在5个监测点中,炼油厂空气质量最差,优良率为92．9％（85．1％）;高坪空气质量最好,优良率为99．1％（98．3％）。相关性分析表明,南充市空气污染源主要是工业燃煤和机动车尾气。     

一株好氧反硝化细菌的分离鉴定及反硝化能力

利用驯化活性污泥的方法筛选出一株好氧反硝化细菌G3,该菌在碳源充足且溶解氧为(4.0±1.0)mg·L-1条件下,24h内对NO-2-N积累量为12.03 mg·L-1,对NO-3-N的去除率为91.09%.扫描电镜观察其形态特征为(0.4～0.6)μm×(1.2～2.0)μm的短杆菌.16SrDNA序列分析表明,该菌与Pseudomonas stutzeri的相似性为100%.利用MEGA软件对该菌株与已报道的相关微生物进行系统发育分析,并克隆出与好氧反硝化相关的周质硝酸盐还原酶的亚基napA基因,初步判定筛选菌株具有周质硝酸盐还原酶.     

六价铬还原细菌Bacillus cereus S5.4还原机理及酶学性质研究

从宝钢电镀污泥中分离得到1株六价铬还原细菌Bacillus cereus S5.4,在液体LB培养基中培养72　h完全还原2　mmol/L Cr⁶⁺.测定该菌株六价铬还原后细胞内外六价铬和总铬浓度,检测细胞各组分六价铬还原能力,并结合扫描电镜分析六价铬还原前后细胞形态的变化.结果表明,细菌的细胞壁膜能阻止六价铬进入细胞,是六价铬发生还原的主要场所,其通透性的改变将影响六价铬还原酶的作用;该菌株六价铬还原酶为非分泌型,在细菌细胞内侧发生作用.测定六价铬还原酶活性和稳定性：其最适温度范围25～37℃,最适pH 7,Cu2＋有增强六价铬还原酶活性的作用;在37℃,该菌株六价铬还原酶K_m为125.61 μmol/L,V_max为7.68 nmol/(min·mg).     

Phylogenetic diversity of NO reductases,new tools for nor monitoring,and insights into N2O production in natural and engineered environments

● 548 representative nor genes were collected to create complete phylogenetic trees. ● The distribution of nor and nod genes were detected in 18 different phyla. ● The most conserved amino acids in NOR were located adjacent to the active site. ● nor-universal and Clade-specific primers were designed, suggested, and tested. Nitric oxide reductases (NORs) have a central role in denitrification, detoxification of nitric oxide (NO) in host-pathogen interactions, and NO-mediated cell-cell signaling. In this study, we focus on the phylogeny and detection of qNOR and cNOR genes because of their nucleotide sequence similarity and evolutionary relatedness to cytochrome oxidases, their key role in denitrification, and their abundance in natural, agricultural, and wastewater ecosystems. We also include nitric oxide dismutase (NOD) due to its similarity to qNOR. Using 548 nor sequences from publicly accessible databases and sequenced isolates from N₂O-producing bioreactors, we constructed phylogenetic trees for 289 qnor/nod genes and 259 cnorB genes. These trees contain evidence of horizontal gene transfer and gene duplication, with 13.4% of the sequenced strains containing two or more nor genes. By aligning amino acid sequences for qnor + cnor, qnor, and cnor, we identified four highly conserved regions for NOR and NOD, including two highly conserved histidine residues at the active site for qNOR and cNOR. Extending this approach, we identified conserved sequences for: 1) all nor (nor-universal); 2) all qnor (qnor-universal) and all cnor (cnor-universal); 3) qnor of Comamonadaceae; 4) Clade-specific sequences; and 5) nod of Candidatus Methylomirabilis oxyfera. Examples of primer performance were confirmed experimentally.     

利用LUR模型模拟天津市大气污染物浓度的空间分布

针对传统监测方法无法满足对大气污染物空间分布高分辨率的要求,以Arcgis为平台,利用LUR模型模拟天津市PM10和NO2年均浓度的空间分布.选取的回归变量为1~4km半径缓冲区内的道路总长度、不同土地利用类型的面积、人口密度、风向指数及距海距离,选取3个监测点的监测数据对方程进行了验证.结果表明,对PM10年均浓度影响最大的因素是缓冲区为1km的道路总长度(R2为0.560),而对NO2年均浓度影响最大的因素是人口密度(R2为0.414).多元线性回归方程计算结果显示,PM10和NO2的R2分别达到0.946和0.691;如果考虑风向的影响,R2可分别提高到0.980和0.849.对天津市中心城区建立5km′5km网格嵌套,根据多元线性回归方程计算每个网格交点的污染物浓度模拟值.通过kriging插值得到2种污染物在天津市中心城区的空间模拟分布图.PM10年均浓度分布以研究区中心最高,向四周逐渐降低;NO2的年均浓度以研究区中心最低,向四周逐渐升高.模拟结果与实际情况相符.