纳米复合GeO2/TiO2的制备及光催化性能研究

采用改进的Sol-gel方法,制备了一种新型的单分散椭球形微孔结构的纳米GeO2/TiO2复合光催化剂,并用TG-DTA、XRD、XPS、UV-vis、FT-IR、TEM、BET等手段进行了表征.以难生化降解的染料罗丹明B为目标降解物,采用HPLC测定不同光照时间下催化剂对染料降解的情况,考察了催化剂的光催化活性结果表明,改进的Sol-gel法制得的复合光催化剂具有明显的孔结构,而且比表面积大、粒径小、粒径分布窄、分散性好;与适量GeO2复合后能够有效提高TiO2纳米粒子的光催化活性;复合光催化剂的最佳制备条件为GeO2摩尔含量为0.1%,煅烧温度为400℃,所制得的GeO2/TiO2光催化活性比纯TiO2有显著提高.     

PW_(12)/g-C_3N_4光催化降解甲基橙

采用浸渍法制备了磷钨酸(PW12)/g-C3N4复合光催化剂,并将其用于溶液中甲基橙的光催化降解,运用IR技术对使用前后的光催化剂进行了表征。表征结果显示,PW12和g-C3N4的结构未在浸渍负载中发生改变,且PW12和g-C3N4结合牢固。实验结果表明:最佳的PW12负载量(光催化剂中PW12的质量分数)为50%;光催化降解甲基橙的优化反应条件为初始甲基橙质量浓度5 mg/L、光催化剂加入量0.6 g/L、初始溶液p H=7;在优化条件下,分别采用紫外光、模拟太阳光、可见光照射120 min后,甲基橙的降解率分别为96.59%,82.23%,42.78%;该光催化剂固载良好,使用中不易发生溶脱,稳定性好,可重复使用。     

辉县市城区环境空气质量现状及污染防治对策

对辉县市城区2006—2011年间环境空气质量监测数据进行了评价,并对城区污染物浓度时空变化进行了分析。结果表明,辉县市城区大气污染主要表现为可吸入颗粒物污染严重,主要是能源结构不合理、锅炉废气污染严重、城区道路保洁方式落后等原因造成的,由此提出了合理规划城市布局、减少结构性污染等对策。     

土壤镉处理对棉花镉吸收及分布规律的影响

用CdCl2将盆栽土壤Cd浓度处理为1mg／kg、5mg／kg、10mg／kg、20mg,／kg、30mg／kg种植棉花,研究棉花对镉的吸收及镉在棉花体内的分布规律。结果表明,当土壤镉浓度小于30mg／kg时,镉在棉花体内的分布呈现不同的规律。当土壤镉浓度小于5mg／kg时,镉主要分布在棉花的地上部;当土壤镉浓度大于20mg／kg时,镉主要分布在棉花的叶片、根、茎中,其中叶片的镉含量最高,棉絮镉含量最低。不同镉污染水平下,棉花的镉富集系数均小于1。当土壤镉污染浓度为5mg／kg时,棉花叶片的镉富集系数为0．76。在同一镉污染水平下,棉花叶片的镉转运系数最高。当土壤镉含量小于20mg／kg时,棉花茎、叶、棉絮的转运系数平均为4．63。     

Occurrence and characterization of selected organochlorine contaminants in outdoor dust collected from Xinxiang,a fast developing city in North China

As facile “environmental media”, the outdoor dust may reflect the changes of contaminants in environment more promptly. In the present study, selected organochlorine contaminants (OCs) include hexachlorocyclohexanes (HCHs), dichlorodiphenyltrichloroethanes (DDTs), hexachlorobenzene (HCB), and pentachlorobenzene (PeCB) were detected in 20 outdoor dust samples collected from Xinxiang City. The concentrations of ΣHCHs, ΣDDTs, HCB, and PeCB in dust were in the range of 0.18–5.05 ng/g dry weight, 0.44–13.50 ng/g dry weight, 0.13–51.61 ng/g dry weight and ND-0.74 ng/g dry weight, respectively. Long-range transport, historical use, and recent impact of impure pesticides might be the main sources of OCs in the outdoor dust. The results of this study indicated that impure pesticide application maybe an important source of DDTs and HCB in the environment.     

大气污染排放窗口机制研究

以2种典型的污染排放源(点污染源和线污染源)为基础,提出排污窗口的概念,通过参数转换分解源强对污染扩散进行研究。首先在高斯污染扩散模型的基础上,对非持续性污染源强建模,然后以某烟囱的周期性排污分析,检验排污窗口设置的合理性。对于单双号限行的窗口性质的污染排放研究中,首先对交通流建立线污染扩散模型,然后融合元胞自动机(9元胞互影响)模拟区域多角度污染的扩散平衡,最后对"单双号限行"下北京市不同区域空气质量指标进行分析与仿真。分析结果表明,合理的排污窗口能够减轻污染程度及对人们日常生活的影响。     

Effects of temperature and land use on predictions of biogenic emissions in Eastern Texas,USA

Accurate estimates of biogenic volatile organic compound emissions are critical for air quality planning in areas such as Eastern Texas where biogenic emissions comprise a significant fraction of the total volatile organic compound inventory. Uncertainties in biogenic volatile organic chemical emission estimates associated with different land use databases, surface temperature databases, and temperature interpolation methods were quantified and compared. The sensitivity of isoprene emissions to land use classification was investigated by comparing predictions based on land use data recently compiled for Eastern Texas to those based on the Biogenic Emissions Landcover Database version 3.1 (BELD3). Previous studies have only made these comparisons with the previous BELD version 2 database. Isoprene emission increased throughout much of Eastern Texas because areas classified as agricultural or savannah in BELD3 were more accurately classified as Post Oak, Live Oak, mesquite, and juniper in the new database. These results indicate the need for land use studies in areas poorly characterized in the BELD3. The sensitivity of isoprene emission estimates to uncertainties in surface temperatures were investigated by comparing predictions based on two different temperature databases and three different interpolation techniques. Spatial interpolations of surface temperatures collected at available Automated Surface Observing System (ASOS) stations in Houston, Austin, and Dallas were similar to the spatial interpolations of surface temperatures obtained from the ETA Data Assimilation System (EDAS). As a result, substantial variations in isoprene emissions were not observed over the majority of the modeling domain; however, differences of 4 F over localized regions produced a 35% difference in isoprene emissions. Comparisons between the isoprene emissions of the three interpolation methods sometimes revealed large variations, with maximum temperature differences of 4 F resulting in 60% differences in isoprene emissions in areas with the highest isoprene emissions. It was noted that the ASOS stations were clustered in urban areas and not in areas with the highest biogenic emissions. More ambient temperature monitors need to be located in rural locations to provide robust estimates of biogenic emissions and facilitate validation of interpolated temperature fields.     

Holistic cognitive conflict chain management framework in supply chain management

Supply chain management is an integral part of most businesses and crucial to company performance and customer satisfaction. The demanding characteristics in supply chain management include lack of customer service quality, increased cost, risk management, and lack of inefficiency, which are considered indispensable factors in this research. This paper proposes a holistic cognitive conflict chain management framework (HCCCMF) to enhance quality customer service and supply chain management efficiency. This proposed HCCCMF method reduces interruption during the process and the cost of raw materials, labour, and energy in supply chain management. Behavioural monitoring analysis is carried out to improve quality service to consumers, creating an excellent customer-supplier relationship to function effectively in supply chain management. Policy matrix analysis is introduced to overcome disruptions during operation, which effectively manages affordable rates. The experimental results show that the proposed HCCCMF method enhances the productivity ratio of 94.3%, performance ratio of 98.4%, efficiency ratio of 96.5%, reliability ratio of 95.5%, accuracy ratio of 97.8%, and low trade cost ratio of 15.3% when compared to other existing methods.     

游离氨与游离亚硝酸对中试膜生物反应器短程硝化及微生物群落结构的影响

为探究FA(游离氨)与FNA(游离亚硝酸)对短程硝化及微生物群落结构的影响,采用中试MBR(膜生物反应器),以高浓度NH₄+-N废水为处理对象,考察MBR对NH₄+-N的去除效果,通过计算FA与FNA浓度,分析其对短程硝化的影响,利用16S rRNA基因高通量测序技术分析微生物群落结构并对功能基因进行预测. 结果表明:①通过将NH₄+-N容积负荷逐渐从0.11 kg/(m3·d)提升至0.75 kg/(m3·d),MBR在第18天实现了全程硝化向短程硝化的转变. ②MBR稳定运行过程中,FA和FNA浓度分别维持在1.03~3.52和0.033~0.118 mg/L,NAR(亚硝酸盐积累率)为65.70%~80.24%,实现了NO₂--N的稳定积累,此时NH₄+-N去除率为87.92%~97.18%. ③进水由模拟废水向实际工业废水的转变没有对NAR产生较大影响,表明中试MBR具有较强的适应能力. ④16S rRNA基因高通量测序分析结果表明,维持MBR内FA和FNA浓度能够富集AOB(氨氧化菌)Nitrosomonas(7.99%),抑制NOB(亚硝酸盐氧化菌)活性,进而实现短程硝化;MBR运行第50天时,Amo(氨单加氧酶)功能基因相对丰度为第0天时的371倍,进一步验证了短程硝化过程的实现. 研究显示,FA与FNA对NOB的抑制在维持中试MBR短程硝化中起重要作用,微生物群落结构的变化与MBR内FA和FNA浓度有关.      

双氯芬酸在水环境中光降解的初步研究

考察了在模拟太阳光照射下,双氯芬酸初始浓度、pH值、光强、温度、丙酮和双氧水对双氯芬酸光解的影响,并通过淬灭实验初步探讨了双氯芬酸光解.结果表明,双氯芬酸的光降解过程符合准一级动力学方程.光解速率随着双氯芬酸初始浓度的降低、光强的增强以及温度的升高而增大.当pH值从3变化到5时,反应速率常数变大;pH值从5变到8时,反应速率常数变小,再继续增大pH值,反应速率常数增大.水环境中存在的双氧水和丙酮对双氯芬酸的光解具有促进作用.最后,通过淬灭实验表明双氯芬酸的光解过程包括直接光解以及通过活性氧物种进行的自敏化光解.