V2O5/TiO2催化剂脱除NO的研究

采用了等体积浸渍法制备二氧化钛负载钒氧化物催化剂（V2O5/TiO2）,研究了V2O5负载量、反应温度、烟气流量、氨氮比以及运行时间各因素对NH3选择性催化还原NO反应（SCR）效率的影响.研究结果表明：经过500℃温度下煅烧,烟气流量为200ml/min,负载量为7wt％的V2O5/TiO2催化剂,在400℃温度下反应,NO脱除率可达70.5％.     

负载型Mn-Co/TiO2催化剂的制备及其低温NH3选择催化还原NO

采用浸渍法制备了一系列以成型TiO2为载体的Mn-Co/TiO2低温SCR催化剂,研究分析了活性组分担载量、Mn含量、焙烧温度、焙烧时间等制备参数和进口NO浓度、空速、O2体积分数、NH3/N2摩尔比等操作条件对催化剂脱硝反应活性的影响.结果表明:活性组分担载量为30%,Mn/(Mn+Co)摩尔比为80%,在500℃下焙烧6 h得到的Mn-Co/TiO2催化剂具有较高的NO转化率;在进口NO浓度为600×10-6、O2体积分数6%、空速10000 h-1、150℃条件下,NO脱除率接近100%.     

浅析废烟气脱硝催化剂环境管理

随着"十二五"期间国家对氮氧化物排放的控制越来越严格,选择性催化还原(SCR)烟气脱硝技术被广泛应用于火电厂的脱硝工程。本文介绍我国目前废烟气脱硝催化剂的产生情况、存在的环境风险以及发达国家的管理经验,从而提出我国将废烟气脱硝催化剂纳入危险废物管理,推行危险废物经营许可证制度,加强产生和经营单位的日常监督管理,从而促进行业的健康可持续发展。     

DOC/CCRT老化对柴油公交车气态物排放特性的影响

基于重型底盘测功机,研究新鲜及老化氧化型催化器(DOC)、氧化型催化器耦合催化型颗粒捕集器(DOC+CDPF,CCRT)对在用国Ⅲ柴油公交车进行中国典型城市公交车循环CCBC时一氧化碳(CO)、总碳氢化合物(THC)、一氧化氮(NO)、二氧化氮(NO_2)和氮氧化物(NO_x)、二氧化碳(CO_2)等气态物排放特性的影响.结果表明:采用新鲜及老化DOC/CCRT,均可以降低CO、THC、NO排放,增加NO_2排放,NO_x及CO_2排放基本不变;在怠速、加速、减速及匀速这4种工况下,新鲜DOC比老化DOC对CO、THC氧化效率好,新鲜CCRT比老化CCRT对THC氧化效率好,但老化CCRT对CO氧化效率更好,新鲜DOC/CCRT比老化DOC/CCRT对NO减少幅度高,对NO_2增加幅度高,但对NO_x排放总量基本无影响.     

Cu-Al2O3中骨架铜类芬顿催化去除水中有机污染物

为解决传统铁基芬顿催化剂在水体通常酸碱(pH6)条件下活性低的问题,采用简单共沉淀法制备了Cu掺杂的Al_2O_3类芬顿催化剂.通过X射线衍射(XRD)、X射线光电子能谱(XPS)和紫外可见(UV-vis)吸收光谱分析表明,Cu-Al_2O_3中铜掺杂的质量分数低于4.77%时,催化剂中铜主要以Cu~(2+)和Cu~+的形式共存于Al_2O_3的骨架结构中,形成Al—O—Cu键;过量的铜掺杂会导致外骨架铜物种如铜氧化物团簇的存在.以难降解有机污染物2-氯苯酚(2-chlorophenol,2-CP)和染料罗丹明B(Rhodamine B,Rh B)为目标污染物,对Cu-Al_2O_3的类芬顿催化性能进行了详细地研究.结果表明,骨架铜物种在中性温和条件下对2-CP和Rh B显示出很高的催化去除效率和稳定性,反应2 h,Cu-Al_2O_3(Cu质量分数4.77%)对2-CP的去除率达到54%,相应的TOC去除率达到49%,而铜离子溶出浓度仅为0.025 5 mg·L-1,而Cu-Al_2O_3(Cu质量分数7.58%)由于外骨架铜的存在导致催化活性增加缓慢和稳定性下降.ESR测试结果表明,·OH和HO_2~-/O_2~-·是反应中主要的活性物种.     

新疆奎屯原生高砷地下水的分布、类型及成因分析

原生高砷地下水在全球分布广、危害大,严重威胁着全世界数亿人口的身体健康.为科学指导高砷地区地下水资源的合理开发利用,以中国大陆第一个砷中毒病区新疆奎屯为研究区域,分析了奎屯地区高砷地下水的分布规律、类型及成因.结果表明,奎屯地区有88.7%的地下水中砷浓度超出10μg·L~(-1),多为高砷地下水.高砷地下水多分布在深层承压含水层,砷浓度从南向北逐渐升高,与采样点海拔高度呈显著负相关.奎屯地区地下水整体呈弱碱性、碱性环境,氧化还原电位(Eh)均为负值,具有较强的还原性,属于还原性-弱碱性高砷地下水(I-2型).奎屯南面的天山与北面的河流沉积平原环境相结合,为该区地下水形成高砷提供了有利的地质环境.奎屯地区沉积层深厚,地下径流更替缓慢,相对封闭的水文地质条件使地下水中的砷富集而不易流失,强烈的蒸发可以使地下水中的砷进一步浓缩.同时,地下水的还原条件有利于含水层中砷的释放,砷浓度不仅受铁锰氧化物矿物还原的影响,而且受SO2-4还原和硫化物矿物沉淀的控制,吸附态砷的解吸附也是该地区地下水的富砷过程.     

Toluene removal characteristics by a superimposed wire-plate dielectric barrier discharge plasma reactor

A superimposed wire-plate dielectric barrier discharge reactor was used to remove toluene in this study. The effects of oxygen content, gas flow rate, gas initial concentration and with/without catalyst on toluene decomposition were investigated. It was found that an optimal toluene removal was achieved when the oxygen content was about 5%. Under this condition, the highest toluene removal efficiency of 80.8% was achieved when the gas concentration was 80 mg/m^3. The toluene removal efficiency decreased with the increase of the gas flow rate and the initial concentration of toluene. In addition, the ozone concentration decreased with the increase of the initial concentration of toluene. It suggested that combining DBD （dielectric barrier discharge） with Co3O4/Al2O3/foam nickel catalyst in-situ could improve the toluene removal efficiency and suppress ozone formation. Products analysis showed that the main products were CO and CO2 when oxygen was more than 5%.     

石油化工催化剂生产过程中的职业病防治及应急处理

石化企业使用了大量的催化剂,催化剂开发、生产过程复杂,有许多原料和生产工艺,存在许多潜在的安全隐患和职业病危害因素。为预防催化剂生产过程中的事故,通过分析催化剂生产过程中的职业病危害分析,提出了相应的职业病防范及应急处置措施,加强催化剂生产过程中的职业病防治和应急处置能力,创造良好的经济、生态和社会效益,有效防止催化剂生产过程中发生安全事故和职业病。     

石油化工企业含苯胺消防污水处理技术研究

针对石油化工企业含苯胺的消防污水,利用基于过氧化氢和氯化铁为氧化剂的深度氧化技术,通过氧化、絮凝、过滤和吸附对消防污水进行处理。实验确定氧化剂的投加量为理论投加量,氧化时间1.0h,消防污水pH值为6.86时,絮凝剂最佳使用浓度约为2%,消防污水中苯胺和COD去除率达到99.5%以上,达到了消防污水处理效果。     

Fine-resolution mapping of wildfire fuel types for Canada: Fuzzy logic modeling for an Alberta pilot area

The Canadian Forest Fire Danger Rating System (CFFDRS) is used daily across Canada for evaluating forest fire danger. Fuel-type information is one of the inputs required by the models used in the CFFDRS. In this project, three fuel-type maps with a 25 m resolution were produced for a pilot study area located in Alberta using land cover only; land cover and biomass; and, land cover, biomass and leaf area index data derived from satellite imagery. The relationships between inputs and fuel types were determined mainly by the opinions of forest fire scientists and incorporated into a computer program using fuzzy set methodology. Not all the CFFDRS fuel types could be distinguished using these inputs; three of the coniferous types had to be grouped into one common fuel type. Overall accuracy was between 74 and 83% based on ground-truth comparisons. The most accurate map resulted from land cover and biomass data. Detailed accuracy assessment indicated that the overall accuracy increased up to 86% if ambiguous fuel type identification was considered. No combination of inputs was able to define a fuel type with absolute certainty, which is a reflection of differing expert opinions and the small number of inputs used to produce the maps.