不同温湿度条件下微米硼的氧化过程研究

目的 探究不同温湿度条件下微米硼的氧化层结构特征。方法 利用高温水浴浸泡处理去除原料微米硼的表面氧化层,然后在恒温恒湿条件下对微米硼进行加速氧化,利用扫描电子显微镜、透射电子显微镜和X射线光电子能谱对加速氧化后硼颗粒的氧化层厚度及组成进行分析,总结表面氧化层结构及成分组成变化规律,揭示温湿度条件下微米硼的氧化机制。结果 微米硼经高温水浴浸泡处理后,表面氧化层去除率达到50%。随着加速氧化时间的延长,硼颗粒氧化层的厚度逐渐增大,由内向外硼颗粒表面可以用B-BxOy-B2O3三层结构来表示,BxOy总是伴随着B2O3同时出现的,且随着氧化反应的进行,颗粒表面BxOy的含量将超过B的含量。结论 不同温湿度条件下微米硼的氧化机制为O2向B颗粒内部单向扩散的反应机制,B先与O2反应,形成低氧化物BxOy,BxOy进而与O2反应生成B2O3。随着氧化层厚度的增加,O2向B颗粒内部扩散的阻力增大,氧化反应速率随之降低。相比湿度的影响,温度的升高可显著加快硼表面氧化层的形成;温度一定时,湿度的增加可促进硼氧化层的形成。     

基于层次分析法的模糊综合评判在危险废物填埋场场址比选中的应用

以江苏省某市2个拟建危险废物填埋场址(E和F)为研究案例,通过综合比较2个拟建场址的地质条件、场地建设、环境保护和交通运输等影响因素,建立了基于层次分析法与模糊综合评判法相结合的优化选择方法;以层次分析法建立危险废物填埋场选址评价指标体系,构造判断矩阵,在确定各制约因素及子系统权重值的基础上,利用模糊综合评判法建立各指标因素相对应的隶属函数和模糊综合评判矩阵;评判矩阵与指标权重结合,计算出各场址相应的综合适宜性评价得分,参照危险废物填埋场适宜性等级标准,最终选出最佳场地。结果表明：场址E的综合适宜性评分为96.3,为最佳场地;场址F的综合适宜性评分为86.8,为适宜场地。     

环境中的二恶英

二恶英主要来源于化工，造纸生产，工业化学放心弃物和垃圾焚烧等，本文对二恶英的理化性质，分析方法，毒性，来源，污染的产生及其环境效应对人体健康的影响进行了评述。     

氯氰菊酯降解菌的筛选鉴定及其降解特性研究

从农药厂废水排放口附近的污泥中分离到1株能降解氯氰菊酯的细菌LQ-3.根据其形态、生理生化特征和16S rDNA(GenBank Accession No.FJ222585)序列分析,将该菌株鉴定为Starkeya sp..LQ-3菌株只能以共代谢方式降解氯氰菊酯,在有酵母粉、蛋白胨、葡萄糖等营养物质存在的条件下,5 d内对20 mg·L-1氯氰菊酯的降解率达到72.1%.LQ-3菌株降解氯氰菊酯的最适温度为30 ℃左右,pH值为7～8.LQ-3菌株还能降解功夫菊酯、甲氰菊酯、联苯菊酯和溴氰菊酯.酶的定域试验表明,LQ-3菌株降解氯氰菊酯的酶属于胞外酶.     

基于事故树的三峡库区水体污染公共安全事件诱因分析

三峡库区蓄水后对长江水体自净能力的极大削弱,沿江聚集的各类生产、生活活动对长江水质的多渠道污染极易引发库区各类水体污染公共安全事件。结合对库区水体污染公共安全事件多维度诱发因素的调研结果,运用事故树的分析方法对三峡库区水体污染公共安全事件的逐级诱发过程进行分析。研究表明：存在13条诱发库区水体污染公共安全事件的路径以及3条防治水体污染公共安全事件的路径;在不考虑诱因发生概率的情况下,排污因素是诱发库区水体污染公共安全事件最重要、最根本的因素,促成库区水体自净能力下降的回水区变长,水流紊动减弱和水位抬升三方面因素是次重要的诱发因素。只有对不同的诱因施行不同的监测和控制策略,才能对库区水体污染公共安全事件开展有效预警、预控.     

水污染突发事件：演化模型与应急管理

概述了突发事件演化研究的现状,总结了现阶段中国水污染突发事件的典型案例,研究了事件的演化过程,提出把社会因素和全过程干预作为水污染突发事件演化动因的一个重要方面,并在此基础上分析了水污染突发事件演化的主要动力因素,运用灾害学、应急管理、环境科学等相关理论构建了事件演化的动力因素体系,最后从系统分析的角度构建了水污染突发事件演化模型。研究表明：社会因素和应急干预对水污染突发事件的演化具有推动作用;事件演化具有阶段性,不同阶段的动力因素存在差异;水污染突发事件应急管理具有多目标性,单一目标应急管理不能有效控制水污染突发事件演化。研究水污染突发事件演化机理可为政府有效地预警与事件初期的应急决策提供重要的理论依据。     

高含固污泥厌氧消化中蛋白质转化规律

采用剩余污泥在含固率(total solid,TS)为12%条件下进行中温(37℃)厌氧消化,通过分析厌氧消化前后污泥蛋白质组分的变化情况,研究了高含固污泥厌氧消化中蛋白质的转化规律,探讨了高含固条件下污泥蛋白质转化效率较低的原因.结果表明,经过45 d的厌氧消化处理,污泥蛋白质的转化率为34.26%.污泥蛋白质转化效率较低的原因主要表现在:(1)高含固条件下污泥的传质较差;同时,污泥蛋白质经水解过程形成大量的氨氮,反应结束后污泥总氨氮(total ammonia nitrogen,TAN)质量浓度达到1 201 mg·L~(-1),导致对厌氧消化过程,尤其对蛋白质的分解表现出一定的抑制作用;(2)三维荧光光谱(three-dimensional fluorescence spectroscopy,3D-EEM)分析表明,部分蛋白质向腐殖质类、富里酸类物质转化,从而更难分解;(3)通过二维电泳(two-dimensional electrophoresis,2-DE)-质谱(mass spectrometry,MS)分析发现,厌氧消化后污泥蛋白质的相对分子质量和等电点(isoelectric point,p I)降低;最终,污泥中残留的大部分蛋白质来源于微生物体内.由于微生物代谢能力随着厌氧消化过程的进行而减弱,难以继续利用这些蛋白质,或消化体系中不具备分解这些蛋白质的酶,从而限制了污泥中蛋白质的分解效率.     

Adsorptive removal of resorcinol on a novel ordered mesoporous carbon (OMC) employing COK-19 silica scaffold: Kinetics and equilibrium study

Phenolic compounds and their derivatives have been found in industrial wastewater, which pose threats to the natural environment. Ordered mesoporous carbon(OMC) has been identified as an ideal adsorbent possessing high specific surface area and large pore volume to alleviate these pollutants. A novel ordered mesoporous carbon was prepared using COK-19 template with the cubic Fm3 m structure for the first time. Ordered mesoporous silica COK-19 was synthesized and reported in 2015. Sucrose as the carbon precursor was impregnated into the mesopores of silica and converted to carbon through carbonization process using sulfuric acid as a catalyst. Ordered mesoporous carbon was obtained after the removal of silica framework using hydrofluoric acid. Boric acid was employed for the preparation of OMCs with tunable pore sizes in the range of 6.9–16.6 nm. Several characterization techniques such as nitrogen adsorption–desorption isotherms, transmission electron microscope(TEM), Fourier transform infrared spectroscopy, Boehm titration and elemental analysis were employed to characterize the OMCs. The pore size analysis and TEM images confirmed that OMC has replicated the mesostructure of the COK-19. Results obtained from adsorption kinetics and isotherms suggest that the Pseudo-second-order model and Langmuir isotherm well described the experimental data.     

Detection of polycyclic aromatic hydrocarbons using a high performance-single particle aerosol mass spectrometer

The real-time detection of the mixing states of polycyclic aromatic hydrocarbons (PAHs) and nitro-PAHs in ambient particles is of great significance for analyzing the source, aging process, and health effects of PAHs and nitro-PAHs; yet there is still few effective technology to achieve this type of detection. In this study, 11 types of PAH and nitro-PAH standard samples were analyzed using a high performance-single particle aerosol mass spectrometer (HP-SPAMS) in lab studies. The identification principles ‘parent ions’ and ‘mass-to-charge (m/z) = 77’ of each compound were obtained in this study. It was found that different laser energies did not affect the identification of the parent ions. The comparative experiments of ambient atmospheric particles, cooking and biomass burning emitted particles with and without the addition of PAHs were conducted and ruled out the interferences from primary and secondary organics on the identification of PAHs. Besides, the reliability of the characteristic ions extraction method was evaluated through the comparative study of similarity algorithm and deep learning algorithm. In addition, the real PAH-containing particles from vehicle exhaust emissions and ambient particles were also analyzed. This study improves the ability of single particle mass spectrometry technology to detect PAHs and nitro-PAHs, and HP-SPAMS was superior to SPAMS for detecting single particles containing PAHs and nitro-PAHs. This study provides support for subsequent ambient observations to identify the characteristic spectrum of single particles containing PAHs and nitro-PAHs.     

浅谈液化气钢瓶(罐)灭火抢险技术

介绍了液化石油气的性质、火灾特点以及液化石油气钢瓶、液化石油气储罐的灭火抢险技术。