李沧区“十一五”期间SO2污染现状分析及对策

以"十一五"期间李沧区环境空气质量自动监测中SO2的监测数据为依据,分析了五年间SO2浓度的月、季节和年际变化特征,并采用Daniel趋势检验法对SO2浓度变化进行了趋势分析。结果表明,"十一五"期间李沧区SO2年均浓度呈下降趋势,月际变化呈明显的季节特征,冬季污染较严重,夏季污染较轻。通过对产生现状的原因进行深入分析,最后提出相应的防治对策,为改善环境空气质量提供科学依据,为管理部门决策提供技术支持。     

均匀电场下多环芳烃在土壤中的迁移

当循环电解液流速为800 mL/h,电解液为无菌水时,电渗流流量、菲和芘在土壤中迁移量在电压梯度为1 V/cm作用下比电压梯度为0.5 V/cm时要多;电动注入表面活性剂Tween80和HPCD均可以提高菲和芘在土壤中的迁移,注入Tween80和HPCD浓度分别为500和1 000 mg/L时,相应地Phe提高5.8倍和11.7倍、芘提高2倍和3.4倍;而BaP在水中的溶解度太小,电场作用和电动注入表面活性剂对BaP在土壤中的迁移量影响很小。为建立电动修复有机污染物污染提供了技术基础。     

Characterization of bacterial community dynamics in a full-scale drinking water treatment plant

Understanding the spatial and temporal dynamics of microbial communities in drinking water systems is vital to securing the microbial safety of drinking water. The objective of this study was to comprehensively characterize the dynamics of microbial biomass and bacterial communities at each step of a full-scale drinking water treatment plant in Beijing, China. Both bulk water and biofilm samples on granular activated carbon (GAC) were collected over 9 months. The proportion of cultivable cells decreased during the treatment processes, and this proportion was higher in warm season than cool season, suggesting that treatment processes and water temperature probably had considerable impact on the R2A cultivability of total bacteria. 16s rRNA gene based 454 pyrosequencing analysis of the bacterial community revealed that Proteobacteria predominated in all samples. The GAC biofilm harbored a distinct population with a much higher relative abundance of Acidobacteria than water samples. Principle coordinate analysis and one-way analysis of similarity indicated that the dynamics of the microbial communities in bulk water and biofilm samples were better explained by the treatment processes rather than by sampling time, and distinctive changes of the microbial communities in water occurred after GAC filtration. Furthermore, 20 distinct OTUs contributing most to the dissimilarity among samples of different sampling locations and 6 persistent OTUs present in the entire treatment process flow were identified. Overall, our findings demonstrate the significant effects that treatment processes have on the microbial biomass and community fluctuation and provide implications for further targeted investigation on particular bacteria populations.