高度有序的TiO2纳米管阵列光催化性能研究

采用恒压阳极氧化法在纯钛箔表面制备TiO2纳米管阵列,利用SEM和XRD对其进行了形貌和晶型的分析和表征,并通过TiO2纳米管阵列膜对甲基橙光催化降解,探讨光照时间、甲基橙溶液的初始浓度、溶液的初始pH值和H2O2加入浓度等因素对甲基橙的脱色率影响.结果表明,H2O2加入浓度为50mg·L-1,紫外光照射2h,溶液为中性时,在30 mg·L-1的甲基橙溶液(50mL)中,甲基橙溶液的脱色率达到100%.当H2O2加入浓度进一步增大到100 mg·L-1时,光催化的效率进一步提高,紫外光照射1h,甲基橙溶液的脱色率就已经达到了100%,并未出现抑制光催化的现象.同时还研究了TiO2纳米管阵列电极的稳定性.实验结果表明,随着TiO2纳米管阵列使用次数的增加,其光催化效果略有所下降.     

球形棕囊藻对Pb2+的吸附动力学

研究了球形棕囊藻对金属离子Pb2+在球形棕囊藻上的生物吸附特性.结果显示,Pb2+在球形棕囊藻上的生物吸附可以分为2个阶段,第1阶段为物理吸附,在10min内快速达到平衡;第2阶段为金属离子向藻内部的迁移,过程缓慢.通过拟合得到了吸附过程的准二级动力学方程,参数k为0.0025 g·mg-1·min-1,qe为19.8 mg·g-1.吸附等温线结果表明.Pb2+在球形棕囊藻上的生物吸附可以用Langmuir来描述,最大吸附量qmax为20.2 mg·g-1.     

磷酸根对水稻土中重金属镉汞铅吸附特性的影响研究

以合肥市郊的大兴镇和义城镇地区水稻土为主要研究对象,利用批量平衡法初步研究了重金属在两种土壤中的吸附热力学,据此分析研究水稻土对重金属的吸附性能及机理.在施磷情况下两种水稻土对三种重金属Cd,Hg,Pb吸附自由能均为负值,是常温常压下可以自发进行的过程,是物理和化学吸附并存的过程.两种水稻土对三种重金属Cd,Hg,Pb吸附过程均是熵增过程.     

井喷点火后对周边井和集气站的影响研究

以实际工程项目为例,利用计算流体动力学软件（CFD）,以3种不同压力、外界风速和2种出口直径为边界条件,分别对井喷情况下的流场分布进行了18组数值模拟计算,并对模拟结果及其对周边设施的影响进行了分析。数值模拟结果表明,在压力为10MPa,出口直径为62mm,风速为1m／s时,井喷后气流的出口速度超过400m／s,而火焰表面温度超过1500K,喷射火对周边建筑物的伤害范围超过65m,对周边的设备与建筑造成毁坏;超过104m才不会有明显伤害。     

一起工艺串料事故的故障树分析

受各种因素的影响,在炼化企业生产过程中发生工艺串料事故也屡见不鲜。某年3月,某炼厂成品车间在一特种油品通过机泵灌装汽车槽车的过程中发生工艺串料事故。现运用故障树分析的方法进行原因分析与对策措施研究。     

SAFUIT/UF6环境评价模型验证与应用

作为核燃料循环过程中一种兼具辐射危害和化学毒性的中间产物,UF6的泄漏事故,特别是事故的环境评价技术越来越受到人们的重视.SAFUIT/UF6是专门针对此类事故的环境评价模型,目前已经开展了初步的验证工作.根据1987年法国UF6释放实验条件,对SAFUIT/UF6模型计算结果进行了误差分析,并与HG-SYSTEM/UF6模型进行了对比.初步认为SAFUIT/UF6模型可准确地模拟UF6扩散.此外,SAFUIT/UF6模型在某设施核事故应急评价系统中也得到了应用.     

Highlights and new Editorial Advisory Board members of the Journal of Environmental Sciences

正The Journal of Environmental Sciences(JES)is honored to welcome Professors/Drs William A.Mitch,Jiuhui Qu,Susan D.Richardson,Jerald L.Schnoor,Hongxiao Tang,Shu Tao,and Hugh A.Tilson to serve on the Editorial Advisory Board(EAB).Their tremendous experience in scientific publications,leading expertise in topic areas pertinent to JES,diverse international networks/perspectives,and exemplary dedication to scientific excellence will guide and help the continuing healthy growth of JES.     

填料型A2/O工艺污水处理及反硝化除磷效能

填料型A~2/O工艺是在A~2/O工艺的基础上通过向厌氧池、缺氧池、好氧池中投加醛化纤维式组合填料,将传统活性污泥法与生物膜法相结合组成一套脱氮除磷的新系统,文章对填料型A~2/O工艺与传统A~2/O工艺处理生活污水的效果进行了对比研究,以及对该复合式工艺在不同硝化液回流比下反硝化除磷能力进行了分析.研究结果表明,相同条件下,填料型A~2/O工艺对生活污水的处理效果要优于传统A~2/O工艺,分别使COD和氨氮的去除率达到92.5%和93.1%.试验通过增加硝化液回流比的措施使得反硝化聚磷菌在填料上富集程度增大,当硝化液回流比为300%时,缺氧池的NO-3-N浓度为3.03 mg·L~(-1),吸磷量最大为26.28 mg·L~(-1),胞内聚合物PHB代谢活性最好,利用率最高为1.32 g·g~(-1)·L~(-1).体现了填料型A~2/O工艺具有显著的反硝化除磷效果.     

Cover features and new Associate Editors of the Journal of Environmental Sciences

正We are very pleased to announce that five Associate Editors have joined the editorial team of the Journal of Environmental Sciences(JES).Professors/Drs.Yong Cai,Paul Lam,Jonathan Martin,Michael Plewa,and Po Keung Wong bring a wealth of expertise in environmental sciences.As preeminent scientists in their chosen areas of research,they have made outstanding contributions to the discipline of environmental     

Case Study Comparing Multiple Irrigated Land Datasets in Arizona and Colorado,USA

While there are currently a number of irrigated land datasets available for the western United States (U.S.), there is uncertainty regarding in how they relate to each other. To help understand the characteristics of available irrigated datasets, we compared (1) the Cropland Data Layer (CDL), (2) Moderate Resolution Imaging Spectroradiometer Irrigated Agriculture Dataset (IAD), (3) Digitized Irrigated Land (DIL), and (4) Consumptive Use for Irrigation (CUI) data in Arizona and Colorado, U.S. These datasets were derived from multiple sources at various spatial resolutions and temporal scales. We found spatial and temporal trends among all of them. The datasets showed decreases in irrigated land area in Arizona during the 2000–2010 time period. The change ranges and ratios were similar in all Arizona datasets. Irrigated land in Colorado decreased in DIL and CUI but increased in IAD and CDL. The agreement within the same type of dataset during different time periods was from 60% to 80% (R² from 0.35 to 0.72) in Arizona and from 50% to 80% (R² from 0.23 to 0.68) in Colorado. DIL had the highest agreement (80%) in both states. The agreement among different datasets acquired at approximately the same time frame ranged from 51% to 63% (R² from 0.14 to 0.31) in Arizona and from 47% to 69% (R² from 0.32 to 0.40) in Colorado. The results from this study support a greater understanding of the multiresolution and multitemporal nature of these datasets for various applications.