MCM-41分子筛负载铁铈催化降解甲基橙

采用等体积浸渍法制备了负载型有序介孔Fe-Ce/MCM-41催化剂。研究了该催化剂降解甲基橙的适宜工艺条件,并采用XPS,XRD,TEM技术对该催化剂进行了表征。实验结果表明,该催化剂Fenton氧化降解甲基橙的较适宜工艺条件为:溶液pH 5.0、甲基橙溶液初始质量浓度100 mg/L、催化剂加入量2.0 g/L、H_2O_2浓度20 mmol/L,在此适宜条件下反应120 min时,甲基橙去除率接近100%。表征结果显示:Fe-Ce/MCM-41催化剂主要由铁、铈、氧、碳4种元素组成;铁与铈的摩尔比接近3∶1;铁和铈主要以Fe_3O_4和CeO_2的形态存在于催化剂表面。     

从不同反应器筛选、鉴别好氧反硝化菌

采用2个序批式反应器A和B,以硝态氮为唯一氮源,采用间歇曝气,以驯化、富集耐氧脱氮污泥.反应器A,其pH约为6.3,ρ(DO)为2.2～6.1 mg/L,碳氮比(ρ(C)/ρ(N),ρ(C)以ρ(COD_Cr)计)约为9;反应器B,其pH约为6.8～7.8,ρ(DO)为 2.2～3.0 mg/L,ρ(C)/ρ(N)约为15.2个反应器的ρ(NO₃－-N)均保持为80 mg/L.当2个反应器的总氮去除率达到60%以上,则认为完成好氧反硝化菌的富集.从2个反应器中共筛选得到20株BTB阳性菌,其中8株菌株的DNA样品经PCR成功扩增,进行16S rRNA测序.测序结果提交GenBank进行Blast同源性检索,并分析比对鉴别,判断8株菌株分属于假单胞菌(Pseudomonas),戴尔福特菌(Delftia),草螺菌(Herbaspirillum)和丛毛单胞菌(Comamonas)菌属.反硝化性能测定证实8株菌株均为好氧反硝化菌.      

放射性废物处置库顶盖毛细屏障的研究进展

放射性废物处置库工程屏障的设计对处置库中放射性废物的长期安全具有重要意义.毛细屏障作为处置库顶盖的工程屏障之一,已在国内外得到广泛的应用.阐述了放射性废物处置库顶盖毛细屏障设置的意义,对近年来毛细屏障的一些研究进展进行了分析,提出了一些尚待解决的问题.     

利用玻纤袋除尘器处理立窑烟气

介绍了机立窑利用玻纤袋除尘器处理立窑烟气进行清洁生产工作机理、效果,以及脱硫原理及监测效果,并提出了几点使用中应注意的问题.     

湖北省生态环境与健康素养水平调查及对策研究

根据2019年7月国务院印发和出台的《国务院关于实施健康中国行动的意见》(国发〔2019〕13号)和《健康中国行动(2019—2030年)》提出的相应考核指标,在基本理念、基本知识和基本技能3个生态环境与健康素养一级分类指标中,当调查对象得分之和大于或等于卷面分数的70％,则认为其具备该分类生态环境与健康素养.居民整体...     

Diopside-based glass-ceramics from MSW fly ash and bottom ash

By utilising MSW fly ash from the Shanghai Yuqiao municipal solid waste (MSW) incineration plant as the main raw material, diopside-based glass-ceramics were successfully synthesized in the laboratory by combining SiO(2), MgO and Al(2)O(3) or bottom ash as conditioner of the chemical compositions and TiO(2) as the nucleation agent. The optimum procedure for the glass-ceramics is as follows: melting at 1500 degrees C for 30 min, nucleating at 730 degrees C for 90 min, and crystallization at 880 degrees C for 10h. It has been shown that the diopside-based glass-ceramics made from MSW fly ash have a strong fixing capacity for heavy metals such as lead (Pb), chromium (Cr), cadmium (Cd) etc.     

Alteration of dominant cyanobacteria in different bloom periods caused by abiotic factors and species interactions

Freshwater cyanobacterial blooms have drawn public attention because they threaten the safety of water resources and human health worldwide. Heavy cyanobacterial blooms outbreak in Lake Taihu in summer annually and vanish in other months. To find out the factors impacting the cyanobacterial blooms, the present study measured the physicochemical parameters of water and investigated the composition of microbial community using the 16S rRNA gene and internal transcribed spacer amplicon sequencing in the months with or without bloom. The most interesting finding is that two major cyanobacteria, Planktothrix and Microcystis, dramatically alternated during a cyanobacterial bloom in 2016, which is less mentioned in previous studies. When the temperature of the water began increasing in July, Planktothrix appeared first and showed as a superior competitor for M. aeruginosa in NO₃^?-rich conditions. Microcystis became the dominant genus when the water temperature increased further in August. Laboratory experiments confirmed the influence of temperature and the total dissolved nitrogen (TDN) form on the growth of Planktothrix and Microcystis in a co-culture system. Besides, species interactions between cyanobacteria and non-cyanobacterial microorganisms, especially the prokaryotes, also played a key role in the alteration of Planktothrix and Microcystis. The present study exhibited the alteration of two dominant cyanobacteria in the different bloom periods caused by the temperature, TDN forms as well as the species interactions. These results helped the better understanding of cyanobacterial blooms and the factors which contribute to them.     

太湖流域典型城镇水环境芳香胺类污染特征

利用固相萃取-气相色谱/串联质谱法(SPE-GC-MS/MS),对太湖流域上游城镇常州武南地区的地表水体和典型排放源中的4种芳香胺类污染物(AAs)进行连续2年监测,综合分析了2018～2019年间AAs的污染及浓度特征.结果表明,武南地区河网中目标AAs的总浓度范围为相似文献   

基于聚类方法下的柴油车排放颗粒物无机元素谱分析

近年来在大气污染的防治工作中,柴油车污染防治的重要性日渐凸显.本文通过测试和文献检索等方法收集了97组与柴油车排放颗粒物无机元素排放有关的数据,采用k-means均值聚类分析的方法对数据进行分类并对分类结果进行分析,得出柴油车无机元素排放占颗粒物比例的大致区间为:Si(0—4.62%)、Al(0—1.53%)、Ca(0—4.09%)、Na(0—2.61%)、Mg(0—2.68%)、K(0—0.85%)、Fe(0—3.4%)、Zn(0—0.54%)、Cu(0—1.49%)、Ni(0—0.06%),且所得无机元素的排放区间的置信水平均大于94%.同时得到的柴油车排放颗粒物无机元素分析结果,可以为后续柴油车排放颗粒物无机元素数据分析以及相关污染治理提供参考,进而促进我国大气环境质量的改善、更好地保障人们身体健康.