大气非甲烷烃在线测量系统的研发与应用

为满足大气非甲烷烃(NMHCs)时空分布监测需求,开发出一套可用于移动观测的小型在线测量系统.环境空气经Teflon膜去除颗粒物后,以100 m L·min-1流速采样进入多床吸附剂捕集阱,样品气中的NMHCs在-10℃的温度下被捕集,之后,捕集阱经高纯氮气反吹后迅速升温至300℃,载气(高纯氮气)以1.6 m L·min-1将解吸出的样品送入GC-FID进行检测.通过系列条件实验,确定了吸附剂的最佳组合和仪器运行的最优参数,在此条件下,本系统最低检出限为0.01 nmol·mol-1(顺-2-丁烯),标准工作曲线R2为0.9991~0.9998,10次重复实验RSD3%.本系统与现有商业化设备TH-300B的测量结果具有较好的一致性,在实际外场应用中,运行稳定性高、能准确追踪12种典型NMHCs的大气浓度变化,可为定量分析大气二次污染形成机制提供关键前体物信息.     

Prevalence of coal worker’s pneumoconiosis: a systematic review and meta-analysis

Environmental Science and Pollution Research - Global prevalence trend and regional differences of coal worker’s pneumoconiosis (CWP) remain unclear. This study aimed to provide systematic...     

Water-dispersible nano-pollutions reshape microbial metabolism in type-specific manners: A metabolic and bacteriological investigation in Escherichia coli

• Water-dispersible nano-pollutions exhibit type-specific toxic effects on E. coli. • Global metabolite profiling was used to characterize metabolic disruption patterns. • Key dysregulated metabolites responsive to nano-pollution exposures were found. • Amino acid metabolism and purine metabolism are perturbed at nano-pollutions. Incomplete separation and recycling of nanoparticles are causing undesirable nanopollution and thus raising great concerns with regard to nanosafety. Since microorganisms are important regulator of physiological processes in many organisms, the interaction between nanopollution and microbial metabolomics and the resultant impact on the host’s health are important but unclear. To investigate how typical nanopollution perturbs microbial growth and metabolism, Escherichia coli (E. coli) in vitro was treated with six water-dispersible nanomaterials (nanoplastic, nanosilver, nano-TiO₂, nano-ZnO, semiconductor quantum dots (QDs), carbon dots (CDs)) at human-/environment-relevant concentration levels. The nanomaterials exhibited type-specific toxic effects on E. coli growth. Global metabolite profiling was used to characterize metabolic disruption patterns in the model microorganism exposed to different nanopollutants. The percentage of significant metabolites (p<0.05, VIP>1) accounted for 6%–38% of the total 293 identified metabolites in each of the nanomaterial-contaminated bacterial groups. Metabolic results also exhibited significant differences between different nanopollutants and dose levels, revealing type-specific and untypical concentration-dependent metabolic responses. Key metabolites responsive to nanopollution exposures were mainly involved in amino acid and purine metabolisms, where 5, 4, and 7 significant metabolic features were included in arginine and proline metabolism, phenylalanine metabolism, and purine metabolism, respectively. In conclusion, this study horizontally compared and demonstrated how typical nanopollution perturbs microbial growth and metabolomics in a type-specific manner, which broadens our understanding of the ecotoxicity of nanopollutants on microorganisms.     

Towards economic value-added growth without carbon emission embodied growth in North–North trade—An empirical analysis of US-German trade

Environmental Science and Pollution Research - Nationally determined contributions were at the core of the Paris Agreement for the global response to climate change. However, with the geographical...     

基于AHP-模糊数学法洪涝灾害风险评估

以常州市主城区为例,根据地理位置、气象环境以及人口经济等统计情况,采用AHP法对常州市洪涝灾害风险进行指标分层,将致灾因子、孕育环境、承灾体、防灾减灾能力作为一级指标,下辖历史灾情等12个二级指标以及26个三级指标,并采用模糊数学法对评价集合进行归一标准化处理,得出常州市洪涝灾害现处于低风险状态。同时,对风险主因进行了分析,为常州市洪涝灾害风险管控、灾害救援提供参考。     

Enhanced organic phosphorus detection in sediments by foam separation and 31P-NMR

Phosphorus (P) is both a nutrient and a pollutant. For instance, excess P induces water eutrophication followed by death of fishes and other water life. Determination of organic P content in sediments is therefore important to study P cycling and environmental pollution. The most widely used method to determine organic P in sediments is NaOH–EDTA extraction followed by ³¹P-NMR detection. However, some organic P compounds are difficult to extract using NaOH–EDTA due to the low solubility, thus can not be detected by ³¹P NMR. Here, we used foam separation to determine organic P in sediment of North Canal of Tianjin City, China. Organic P was first enriched using foam separation coupled with NaOH extraction. The enriched organic P was then analyzed with ³¹P NMR. The results showed that, compared with the traditional extraction method, foam separation coupled with NaOH extraction enriched more P compound because ³¹P NMR detected an extra signal of teichoic acid at chemical shift 1.14. This teichoic acid signal was not detected in the extract prepared using only NaOH–EDTA. Our finding demonstrates that determination using foam separation followed by ³¹P NMR is feasible.     

基于多因素分析的玻璃行业员工不安全行为研究

采用问卷调查、信效度分析和因子分析等方法,研究玻璃行业不安全行为影响因素,研究结果表明：玻璃行业员工不安全行为主要包括车间照明、PPE佩戴等18个影响因素指标;根据方差分析结果将影响因素归结为工作环境与行为要求（F₁）、安全教育与培训（F₂）、群体与组织行为影响（F₃）和激励沟通与奖惩（F₄）等4个主因子,其方差解释率分别为32%、12%、10%、10%,权重分别为0.51、0.19、0.15、0.15;根据分析结果针对性提出“4+1”安全管理模式,为玻璃行业降低不安全行为几率、保障安全生产提供理论依据。     

多孔水力空化装置降解甲基橙

研制了多孔水力空化装置,并将其应用于降解甲基橙溶液,通过测定甲基橙的降解率,考察了孔径、小孔排布方式、液体温度、运行时间对空化效果的影响,分析了平均降解速率与运行时间的关系。研究表明:孔径越小,小孔分布越均匀,空化效果越好,甲基橙的降解率越高;随着时间的延长,甲基橙的降解率不断提高,平均降解速率先增大再减小;当水温在40℃时,空化效果最好,甲基橙的降解率达到17.2%。综上所述,可以通过控制操作条件和优化孔板设计提高空化效果。     

基于静电纺丝膜的Fenton法降解双氯芬酸钠

通过浸渍法将铁盐负载于静电纺丝纤维膜制备了类Fenton催化剂,并通过扫描电子显微镜（SEM）对静电纺丝膜进行了表征,研究了该催化剂降解双氯芬酸钠的特性及其重复利用率。结果表明,静电纺丝纤维膜反应前后膜结构良好,反应过程中铁离子几乎无溶出;膜对双氯芬酸钠有一定的吸附能力,去除率约为6.96%。当双氯芬酸钠初始浓度为20 mg·L-1,按0.310 g·（100 mL）-1比例加入催化剂时,H2O2最佳用量为340 mg·L-1。溶液的初始pH值对实验结果影响较大,酸性条件更利于双氯芬酸钠的降解,最佳pH值为3.14,但该催化剂所适用的pH值范围较之传统Fenton法有明显拓展。所制备的催化剂重复利用率高,循环使用4次后,催化活性无明显改变,4 h的去除率依然高达95%以上。反应中双氯芬酸钠主要生成乙酸等小分子化合物,最终可氧化为CO2和H2O。     

Synthesis, characterization and experimental investigation of Cu-BTC as CO2 adsorbent from flue gas

Porous Cu-BTC material was synthesized by the solvothermal method. Powder X-ray diffraction (PXRD) was used to test the phase purity of the synthesized material and investigate its structural stability under the influence of flue gas components. The thermal stability of the material was determined through thermal gravimetric (TG) analysis. Scanning electron microscopy (SEM) was employed to study the microstructure of the material. Cu-BTC was demonstrated not only to have high CO₂ adsorption capacity but also good selectivity of CO₂ over N₂ by means of packed bed tests. The adsorption capacity of Cu-BTC for CO₂ was about 69 mL/g at 22°C. The influence of the main flue gas components on the CO₂ capacity of the material were discussed as well.