苯噻草胺在土壤中的吸附与解吸行为研究

采用批量平衡实验方法,研究了除草剂苯噻草胺在5种不同性质土壤中的吸附与解吸行为,并探讨了土壤有机质及溶液pH值对吸附的影响.结果表明,线性方程与Freundlich方程均能较好地拟合苯噻草胺在土壤中的吸附等温线.计算得到苯噻草胺在5种土壤中的碳标化分配系数K_oc在849.5～1?818.8 L·kg^-1之间,说明土壤对苯噻草胺有较强的吸附能力.苯噻草胺在土壤中的分配系数K_d、Freundlich常数K_f以及K_f(1/n)与土壤有机质含量均呈显著正相关.通过过氧化氢去除有机质后,土壤对苯噻草胺的吸附大大降低,说明土壤有机质是影响苯噻草胺在土壤中吸附的主要因素.对于同种土壤而言,苯噻草胺的吸附量随pH值的增大而减小.解吸实验表明,苯噻草胺在土壤中的解吸过程具有一定的滞后性,推测其在土壤中的迁移能力较差.     

典型行业再利用土壤重金属含量分布、来源解析及生态风险评价

为深入探究典型行业再利用土壤重金属污染特征及生态风险状况,基于上海市嘉定区49个地块315个不同深度剖面土壤样品数据,采用地累积指数和潜在生态风险指数评估Cd、Pb、Cu、Zn、Ni、Hg和As这7种重金属含量特征和潜在生态风险程度,并利用源解析受体模型（APCS-MLR）和正定矩阵因子分解模型（PMF）解析其污染来源.结果表明：①研究区土壤中除As外,其余重金属均不同程度超过上海市土壤背景值,表层土壤中Cd、Pb、Cu、Zn、Ni和Hg含量分别是背景值的3.54、2.34、2.91、1.20、3.75和4.40倍;7种重金属含量随着土壤垂直剖面深度的增加逐渐降低,重金属在表层土壤中存在一定程度的富集,人类活动影响了重金属在土壤中的分布规律.②研究区内APCS-MLR和PMF两种受体模型均识别出土壤重金属4种主要来源,源1（Cu、Zn和Pb）为金属制品和汽车制造混合源,源2（Ni和Cd）为电镀企业来源,源3（Hg）主要为化工企业来源,源4（As）为自然源,两种受体模型结合运用,进一步提高源解析的精准度和可信度.③地累积指数由大到小表现为：Hg（1.54）>Ni（1.32）>Cd（1.21）>Cu（0.96）>Pb（0.64）>Zn（-0.33）>As（-1.02）;潜在生态风险指数结果显示,研究区综合潜在生态风险指数RI值在32.50~4 910.97,均值为321.40,整体呈现较强潜在生态风险,再开发利用工业场地土壤中重金属Hg、Ni和Cd的污染值得进一步关注.     

炼焦过程挥发性有机物排放特征及其大气化学反应活性

利用不锈钢采样罐和全自动预浓缩/GC/MS系统,在58-Ⅱ型和JN43-80型焦炉顶测试了炼焦过程中挥发性有机物(VOCs)中各组分的浓度,研究了VOCs排放特征,结合OH自由基消耗速率分析了这些物质的反应活性.研究发现,在装煤时刻和炼焦过程中,58-Ⅱ型焦炉产生的总挥发性有机物(TVOCs)浓度分别为7022 μg·m-3和6266μg·m-3;JN43-80型焦炉产生的TVOCs浓度分别为4185 μg·m-3和3298μg·m-3.装煤时刻产生的TVOCs浓度明显高于炼焦过程产生的.炼焦过程(包括装煤时刻)无组织排放的VOCs,包含烯烃、烷烃、芳香烃、卤代烃以及少量的醛和酮,其中乙烯、乙烷、丙烯、苯以及甲苯等为主要成分.这些产生的VOCs反应活性各不相同,活性最大的是烯烃类物质.其活性占TVOCs反应活性比重为86.2%±2.1%;其次是芳香烃类物质,其活性比重为9.2%±3.1%;反应活性最大的5个物种分别是丙烯、乙烯、1,3-丁二烯、1-丁烯以及苯乙烯.     

长江三角洲地区人为源氨排放清单及分布特征

根据各类氨排放源的活动水平和排放因子,估算了2004年长江三角洲地区16个城市的氨排放量.结果表明,2004年长三角地区氨排放量为460.68kt,其中,氮肥使用和畜牧源是两个最大排放源,氨排放量分别为227.33kt和203.28kt,分别占长江三角洲地区氨排放总量的49.3%和44.1%,氨排放在长三角地区各城市间有较大差异,排放量超过40kt·a-1的城市为南通市、上海市、嘉兴市和泰州市,这4个城市的氨排放总量约占长三角地区氨排放量的42.5%.长江三角洲地区氨平均排放强度为4.20t·km-2·a-1,排放强度超过6t·km-2·a-1的城市为嘉兴市、南通市、泰州市和上海市,其中,嘉兴市的排放强度最大,为10.83 t·km-2·a-1.     

酚类化合物气相色谱保留指数的定量结构相关性研究

应用偏最小二乘回归技术建立了102种酚类化合物气相色谱保留指数与分子全息结构间的相关模型,在最佳建模条件下得到非交叉验证相关系数(r2)为0.965,交叉验证相关系数(q_LOO2)为0.963. 从102种酚类化合物中随机选出68种作为训练集,其余作为测试集,来验证分子全息QSRR模型的预测能力和稳健性. 在最佳建模条件对训练集进行偏最小二乘回归分析,r2为0.967,q_LOO2为0.927. 用训练集数据所建立的QSRR模型预测测试集中酚类化合物的色谱保留指数,结果表明,基于训练集所建立的QSRR模型具有很高的预测能力和稳健性,可以对测试集酚类化合物的气相色谱保留指数进行很好的预测. 此外,利用最佳全息定量结构保留关系(HQSRR)模型的色码图,探讨酚类化合物中的不同侧链基团对其色谱保留性质的影响,及其在固定相上的色谱保留机理.      

天津市中心城区集中供应管网末梢水的抗生素耐药基因污染特征研究

为了研究天津市中心城区集中供应管网末梢水的抗生素耐药基因(antibiotic resistance genes,ARGs)污染特征,采集了天津市中心城区6个采样点的管网末梢水样,分别采用微孔滤膜正压过滤法及核酸吸附-洗脱法富集水中细菌和胞外核酸后,利用实时定量PCR技术对15种胞内ARGs和胞外ARGs进行定量检测....     

Diurnal and spatial variations of soil NOx fluxes in the northern steppe of China

NO_x emissions from biogenic sources in soils play a significant role in the gaseous loss of soil nitrogen and consequent changes in tropospheric chemistry. In order to investigate the characteristics of NO_x fluxes and factors influencing these fluxes in degraded sandy grasslands in northern China, diurnal and spatial variations of NO_x fluxes were measured in situ. A dynamic flux chamber method was used at eight sites with various vegetation coverages and soil types in the northern steppe of China in the summer season of 2010. Fluxes of NO_x from soils with plant covers were generally higher than those in the corresponding bare vegetation-free soils, indicating that the canopy plays an important role in the exchange of NO_x between soil and air. The fluxes of NO_x increased in the daytime, and decreased during the nighttime, with peak emissions occurring between 12:00 and 14:00. The results of multiple linear regression analysis indicated that the diurnal variation of NO_x fluxes was positively correlated with soil temperature (P < 0.05) and negatively with soil moisture content (P < 0.05). Based on measurement over a season, the overall variation in NO_x flux was lower than that of soil nitrogen contents, suggesting that the gaseous loss of N fromthe grasslands of northern China was not a significant contributor to the high C/N in the northern steppe of China. The concentration of NO_x emitted from soils in the region did not exceed the 1-hr National Ambient Air Quality Standard (0.25 mg/m³).     

Visible-light-driven photocatalytic inactivation of bacteriophage f2 by Cu-TiO2 nanofibers in the presence of humic acid

Pathogenic viruses in drinking water are great threats to public health. Visible-light-driven photocatalysis is a promising technology for virus inactivation. However, the existing photocatalytic antiviral research studies have mostly been carried out in single-component systems, neglecting the effect of natural organic matter, which exists widely in actual water bodies. In this paper, electrospun Cu-TiO₂ nanofibers were prepared as photocatalysts, and their photocatalytic antiviral performance in the presence of humic acid (HA) was comprehensively studied for the first time. The properties of the reaction mixture were measured during the reaction. In addition, the safety, reliability and stability of photocatalytic disinfection in the mixed system were evaluated. The results showed that the virus removal efficiency decreased with the increase of the HA concentration. The type of reaction solution, such as PBS buffer solution or water, did not affect the removal efficiency noticeably. Under acidic conditions, the electrostatic forces between photocatalysts and viruses were strengthened, leading to higher virus removal efficiency. As the reaction time went on, the pH value in the solution increased first and then tended to be stable, the conductivity remained stable, and the dissolved oxygen increased first and then decreased. The safety test showed that the concentration of Cu ions released into the solution was lower than specified by the international standards. No photoreactivation was observed, and the addition of HA significantly reduced the reutilization efficiency of the photocatalysts.     

美国光化学污染监测的经验与启示

针对光化学污染的严峻形势,中国应尽快建立国家层面的光化学监测网络,完善光化学监测的技术体系与质量管理体系,为重点地区光化学污染防治工作提供监测数据支持。研究在总结美国光化学评估监测网络发展历程、运行及其监测目标、技术体系和质量管理体系的基础上,提出了明确光化学监测目标、制定优先监测VOCs名单、完善光化学监测技术体系和质量管理体系、建立光化学监测数据共享平台以及开展VOCs源解析等建设中国光化学监测网络的具体建议。     

十溴二苯乙烷对蚯蚓亚急性毒性及微生物群落结构影响

新型溴系阻燃剂十溴二苯乙烷(DBDPE)生产和使用量日益增大,在环境中的检出率越来越高,其生态风险正受到广泛关注.然而,有关DBDPE对陆地无脊椎生物毒性效应以及微生物群落结构的影响知之甚少.探究了不同剂量(5、10、20、50和100mg·kg-1)DBDPE暴露对赤子爱胜蚓(Eisenia fetida)生长、行为...