加油站场地油品渗漏探测及土壤污染评估

用洛阳铲采集某地区10座地下贮罐罐龄接近或超过10年的典型加油站场地不同深度土样,并分别用吹脱/捕集/热脱附/气相色谱法和快速溶剂萃取/硅酸镁净化/气相色谱法分析样品中的挥发性和萃取性石油烃,发现2座加油站疑似油品渗漏,其中1座为柴油渗漏,地下贮罐附近1.2 ～3.0 m深度土壤总石油烃含量16.1 ～24.6 g/kg,均超过荷兰土壤清除标准,另1座为汽油和柴油混合渗漏,其地下贮罐附近2.4m深度土壤总石油烃含量较高,但未超标.个别加油站场地较高的土壤天然有机物背景值可能计入EPH的分析结果,但其色谱指纹明显不同于石油烃.     

多酚原位固化茶渣对水中Cr（Ⅵ）的吸附

通过甲醛与茶渣中多酚类组分的反应制备了多酚原位固化茶渣吸附材料,并将其用于对水中Cr（Ⅵ）的吸附。表征结果显示：茶渣多酚的原位固化提高了其热稳定性,同时对茶渣粒料起到了修补增强作用。固化茶渣对Cr（Ⅵ）的吸附量随溶液pH的减小而增大。在吸附温度303 K、初始Cr（Ⅵ）质量浓度60 mg/L、吸附剂投加量1.0 g/L、吸附时间300 min、溶液pH为2的条件下,固化茶渣对Cr（Ⅵ）的吸附量为56.56 mg/g,去除率达94.3%。固化茶渣对Cr（Ⅵ）的吸附符合Langmuir等温吸附模型和准二级动力学方程,吸附是一个自发的、吸热过程,303,318,333 K下的Langmuir饱和吸附量分别为83.26,107.64,129.20 mg/g。     

可降解餐盒去除地下水硝酸盐的砂槽模拟实验研究

采用室内砂槽实验装置,研究了以可降解餐盒(BMB)为反硝化碳源的生物反应器对于模拟污水中硝酸盐的去除效果及其影响因素。结果表明,以BMB为反硝化碳源的反应器启动时间短。当进水硝酸盐浓度为50 mg/L,水温为25℃,水力停留时间为1.15 d时,硝酸盐的去除率可达92.6%以上,实验过程中出现亚硝酸盐积累,出水TOC浓度上升,但反应稳定后亚硝酸盐浓度均低于0.1 mg/L,且TOC浓度有下降趋势;水力停留时间减小或者进水硝酸盐浓度增加均能使得脱氮效率降低,但当水力停留时间在0.57~1.15 d,进水硝酸盐浓度在50~80 mg/L范围变化时,反应器硝酸盐去除效率仍能达到80%以上;温度对反硝化作用影响较大,当温度为(20±1)℃时,硝酸盐的去除效率仅为62.0%、74.4%和97.5%。     

压力生化-组合生化-脱色处理橡胶促进剂废水

橡胶促进剂废水具有色度高、成分复杂、有机物浓度高、可生化性差等特点。采用压力生化-组合生化-脱色处理橡胶促进剂废水,当进水水质主要污染物ρ(COD)<2 000 mg/L、ρ(硫化物)<20 mg/L、ρ(苯胺)<15 mg/L时,出水可达GB8978-1996《污水综合排放标准》表4二级标准限值的要求。工程实践表明:该处理工艺具有处理效果好,运行稳定等特点。     

Fungal diversity and its mechanism of community shaping in the milieu of sanitary landfill

• Ascomycota was the predominant phylum in sanitary landfill fungal communities. • Saprophytic fungi may be of special importance in landfill ecology. • Both richness and diversity of fungal community were lower in leachate than refuse. • Physical habitat partly contributed to the geographic variance of fungal community. • NO₃⁻ was considered the most significant abiotic factor shaping fungal community. Land filling is the main method to dispose municipal solid waste in China. During the decomposition of organic waste in landfills, fungi play an important role in organic carbon degradation and nitrogen cycling. However, fungal composition and potential functions in landfill have not yet been characterized. In this study, refuse and leachate samples with different areas and depths were taken from a large sanitary landfill in Beijing to identify fungal communities in landfills. In high-throughput sequencing of ITS region, 474 operational taxonomic units (OTUs) were obtained from landfill samples with a cutoff level of 3% and a sequencing depth of 19962. The results indicates that Ascomycota, with the average relative abundance of 84.9%, was the predominant phylum in landfill fungal communities. At the genus level, Family Hypocreaceae unclassified (15.7%), Fusarium (9.9%) and Aspergillus (8.3%) were the most abundant fungi found in the landfill and most of them are of saprotrophic lifestyle, which plays a big role in nutrient cycling in ecosystem. Fungi existed both in landfilled refuse and leachate while both the richness and evenness of fungal communities were higher in the former. In addition, fungal communities in landfilled refuse presented geographic variances, which could be partly attributed to physical habitat properties (pH, dissolved organic carbon, volatile solid, NH₄⁺, NO₂⁻ and NO₃⁻), while NO₃⁻ was considered the most significant factor (p<0.05) in shaping fungal community.     

Label-free colorimetric nanosensor with improved sensitivity for Pb2+ in water by using a truncated 8–17 DNAzyme

• Unmodified-AuNP based, colorimetric nanosensor was constructed for Pb²⁺ detection. • 5-nucleotide truncation in DNAzyme made complete substrate detachment upon Pb²⁺. • Ultrasensitive and selective detection of Lead (II) was achieved with 0.2×10^-9 mol/L LOD. Water pollution accidents, such as the Flint water crisis in the United States, caused by lead contamination have raised concern on the safety of drinking water distribution systems. Thus, the routine monitoring of lead in water is highly required and demands efficient, sensitive, cost-effective, and reliable lead detection methods. This study reports a label-free colorimetric nanosensor that uses unmodified gold nanoparticles (AuNPs) as indicators to enable rapid and ultra-sensitive detection of lead in environmental water. The 8–17 DNAzyme was truncated in this study to facilitate the detachment of single-stranded DNA fragments after substrate cleavage in the presence of Pb²⁺. The detached fragments were adsorbed over AuNPs and protected against salt concentration-induced aggregation. Accordingly, high Pb²⁺ would result in rapid color change from blue to pink. The established sensing principle achieved a sensitive limit of detection of 0.2×10^-9 mol/L Pb²⁺, with a linear working range of two orders of magnitude from 0.5×10^-9 mol/L to 5×10^-9 mol/L. The selectivity of the nanosensor was demonstrated by evaluating the interfering metal ions. The developed nanosensor can serve as a substitute for the rapid analysis and monitoring of trace lead levels under the drinking water distribution system and even other environmental water samples.     

The impacts of economic restructuring and technology upgrade on air quality and human health in Beijing-Tianjin-Hebei region in China

Impacts of industrial restructuring and upgrade on air quality & health are assessed. An integrated approach combining different models is used for the assessment. Industrial technology upgrading is more effective than economic restructuring. Ozone is much more difficult to mitigate than PM_2.5. In this study, we have analyzed possible policy options to improve the air quality in an industrialized region—Beijing, Tianjin and Hebei (BTH) in China. A comprehensive model framework integrating GAINS-China, GEOS-Chem, and IMED/HEL is established to investigate the impacts of various policies on air pollution and health effects. The model establishes a data interface between economic input/output data and the emission inventory of atmospheric pollutants in the BTH region. Based on in-depth analyses of pollutant emission standards, industrial structure, pollution-intensive industries, and emission intensities in BTH and Pearl River Delta, several scenarios are constructed to explore the effectiveness of policy pathways in improving air quality in the BTH region. These scenarios include two categories: the category of “Industrial Technology Upgrade Policy” scenarios that focuses on reducing the emission intensity of industries vs. that of “Industrial Structure Adjustment Policy” scenarios that focuses on adjusting the proportion of industrial value-added. Our results show that the policy path of industrial technology upgrading can be effective and feasible, while economic structure adjustment shows complex and mixed effectiveness. We also find that the proposed policies and measures will be efficient to reduce pollution of primary pollutants and fine particles, but may not effectively mitigate ambient ozone pollution. Ozone pollution is projected to become increasingly severe in BTH, placing a challenge to pollution mitigation strategies that requires further adjustments to address it.     

静电除尘器粉尘运动轨迹的数值模拟与分析

为了分析线-管式静电除尘器的流动特性以及粉尘收集过程,建立流场、电场和颗粒动力场的数学模型,利用fluent软件对其进行数值模拟。结果表明:逃逸粉尘平均粒径随工作电压增高呈非线性递减关系,但随入口流速增大基本呈线性递增关系;而粉尘向收尘板偏移趋势随工作电压增高而增强,但随入口流速增大而减弱。     

邻苯二甲酸二乙基己酯(DEHP)对小白鼠肝脏毒性及脂质过氧化损伤

为研究邻苯二甲酸二乙基己酯(DEHP)对小鼠肝脏的毒性及脂质过氧化损伤作用机制,选择昆明4周龄小鼠80只,雌雄各半,随机分为4组。经食饵连续自然给食染毒,于染毒第4周末处死。测量小鼠肝脏和体重的变化,测定不同DEHP染毒剂量组小鼠的血液、肝脏中谷胱甘肽过氧化物酶(GPX)、过氧化氢(H2O2)和丙二醛(MDA),超氧化物歧化酶(SOD)的变化。将实验数据进行ANO-VA分析处理。结果表明,随着染毒剂量的增加,小鼠体重逐渐减少(p<0.01),高剂量组肝脏器系数明显上升(p<0.01)。苏木精-伊红染色法(简称HE染色)可见高剂量组肝脏组织有明显损伤。与对照组相比,DEHP3个剂量染毒组小鼠血液(75mg·kg-1组除外)及肝脏中GPX活性降低(p<0.05,p<0.01),H2O2含量增加(p<0.05,p<0.01);肝组织中(75mg·kg-1组除外)SOD活性降低(p<0.05,p<0.01),MDA含量增加(p<0.01)。以上结果说明DEHP对小鼠肝脏的毒性作用机制可能为脂质过氧化反应。     

Decomposition analysis of energy-related carbon dioxide emissions in the iron and steel industry in China

This work aims to identify the main factors influencing the energy-related carbon dioxide (CO₂) emissions from the iron and steel industry in China during the period of 1995–2007. The logarithmic mean divisia index (LMDI) technique was applied with period-wise analysis and time-series analysis. Changes in energyrelated CO₂ emissions were decomposed into four factors: emission factor effect, energy structure effect, energy consumption effect, and the steel production effect. The results show that steel production is the major factor responsible for the rise in CO₂ emissions during the sampling period; on the other hand the energy consumption is the largest contributor to the decrease in CO₂ emissions. To a lesser extent, the emission factor and energy structure effects have both negative and positive contributions to CO₂ emissions, respectively. Policy implications are provided regarding the reduction of CO₂ emissions from the iron and steel industry in China, such as controlling the overgrowth of steel production, improving energy-saving technologies, and introducing low-carbon energy sources into the iron and steel industry.