Preparation of Ti species coating hydrotalcite by chemical vapor deposition for photodegradation of azo dye

TiO_2 in anatase crystal phase is a very effective catalyst in the photocatalytic oxidation of organic compounds in water. To improve its photocatalytic activity, the Ti-coating Mg Al hydrotalcite(Ti–Mg Al–LDH) was prepared by chemical vapor deposition(CVD) method.Response surface method(RSM) was employed to evaluate the effect of Ti species coating parameters on the photocatalytic activity, which was found to be affected by the furnace temperature, N2 flow rate and influx time of precursor gas. Application of RSM successfully increased the photocatalytic efficiency of the Ti–Mg Al–LDH in methylene blue photodegradation under UV irradiation, leading to improved economy of the process.According to the results from X-ray diffraction, scanning electron microscopy, Brunner–Emmet–Teller and Barrett–Joyner–Hallender, thermogravimetric and differential thermal analysis, UV–vis diffuse reflectance spectra analyses, the Ti species(TiO_2or/and Ti~(4+)) were successfully coated on the Mg Al–LDH matrix. The Ti species on the surface of the Ti–Mg Al–LDH lead to a higher photocatalytic performance than commercial TiO_2-P25. The results suggested that CVD method provided a new approach for the industrial preparation of Ti-coating Mg Al–LDH material with good photocatalytic performances.     

土壤包气带含水率对氯代烃垂向迁移影响的模拟研究

氯代烃类挥发性有机物在土壤包气带中的垂向迁移是该类污染物呼吸暴露风险的重要途径.为探究氯代烃在土壤包气带中的垂向迁移规律,通过室内土柱模拟试验,研究土壤包气带含水率对不同氯代烃〔TCE(三氯乙烯)、PCE(四氯乙烯)〕气相扩散速率的影响,并通过线性拟合筛选出更准确的气相有效扩散系数预测模型.结果表明,土壤含水率与氯代烃气相有效扩散系数呈显著负相关〔R=-0.89,P < 0.01,n=7(TCE);R=-0.86,P < 0.01,n=7(PCE)〕.随着土壤含水率由0.5%增至40.0%,TCE气相有效扩散系数(D_T)由0.035 9 cm2/s降至0.002 5 cm2/s,平衡时间由13 h增至91 h,平衡时气体浓度由4.22 g/m3降至0.31 g/m3;PCE气相有效扩散系数(D_P)由0.033 9 cm2/s降至0.001 1 cm2/s,平衡时间由15 h增至103 h,平衡时气体浓度由3.01 g/m3降至0.12 g/m3.与Penman模型、Marshall模型模拟值相比,Millington-Quirk模型模拟值与氯代烃气相有效扩散系数实测值的拟合程度更好(R>0.95,P < 0.01,n=7).研究显示,土壤包气带含水率的增加对氯代烃气相扩散有明显的抑制作用.      

废旧锂电池中有价金属的回收技术研究

锂电池以其优异的性能得到了广泛的应用,其废弃量也在逐步增加.如果不对其进行有效的处理回收,不仅给环境保护带来巨大的压力,而且也会造成钴、锂、镍和锰等有价金属的极大浪费.综述了国内外对废旧锂电池回收技术的研究现状,比较了不同回收途径的优缺点,讨论了回收技术的发展方向,着重介绍了共沉淀法在废旧锂电池有价金属回收中的应用.此外,随着锂离子电池生产技术的发展,新的电极材料将会出现并取代过渡金属氧化物,同时也需要相应的电解液与之匹配,这将向废旧锂电池回收技术提出了新的要求.     

祁连山东段降水的水化学特征及离子来源研究

我国西北地区深处内陆,水汽经过长距离输送才可以到达,降水量少且变率大,与季风区降水有很大不同.运用因子分析法、富集因子法、后向轨迹分析法,对2013-05-01~2014-07-11连续收集的降水主要离子进行分析,研究了祁连山东段降水的水化学特征及离子来源.结果表明,祁连山东段降水电导率值的变化范围在29.20~892.00μS·cm-1之间,p H值在7.02~8.89之间,降水电导率受碱性元素控制,为弱碱性水;降水中阳离子浓度大小排序为Ca~(2+)Mg~(2+)Na~+NH_4~+K~+,阴离子浓度大小排序为SO_4~(2-)Cl-NO_3~-,降水为SO_4~(2-)-Ca~(2+)型;降水中K~+、Mg~(2+)、Ca~(2+)、NH+4、Cl-、NO_3~-、SO_4~(2-)浓度在秋季最高,Na+浓度在冬季最高;降水中的Na+和Cl-主要是海源贡献,但Na+在冬季也有陆源贡献,Cl~-在秋季有人为源的影响,K+、Mg~(2+)、Ca~(2+)主要是陆源贡献,Mg~(2+)在冬季有人为源的影响,NO_3~-和SO_4~(2-)主要是人为源的贡献;降水中离子来源的水汽输送有西北、北方、北方+东南、西北+东南、西北+西南、西北+北方+东南路径,其中西北路径是最主要来源.祁连山降水中海源离子通过西风环流和季风环流长距离输送,陆源离子主要由中亚、新疆、蒙古高原的沙漠和戈壁提供,人为源离子主要与各路径上的城市污染和绿洲工、农业生产有关,而降水中离子含量多少受各天气系统的强弱变化影响.     

同时回收氮磷提高碱性发酵污泥脱水性能的机制研究

同时回收氮磷可以显著提高碱性发酵污泥的脱水性能,但是目前对其机制尚不清楚.通过批式试验,研究了ζ电位、二价离子、胞外聚合物、溶解性聚合物以及鸟粪石对碱性发酵污泥脱水性能的影响.结果表明,在最佳回收条件下(pH=10.0,n(P)/n(N)=1.3 mol.mol-1,n(Mg)/n(N)=1.9 mol.mol-1),镁离子不仅能使|ζ|电位减小到14 mV以下,而且使一价阳离子与二价阳离子比例降低到9 mol.mol-1以下;同时回收氮磷可以显著降低溶解性多聚物和胞外聚合物的含量,尤其是溶解性蛋白质和松散型胞外聚合物的含量;这些变化都促进了碱性发酵污泥的脱水.此外,鸟粪石的形成也有助于提高脱水效果.     

A systems perspective of managing error recovery and tactical re-planning of operating teams in safety critical domains

Introduction

Research in human error has provided useful tools for designing procedures, training, and intelligent interfaces that trap errors at an early stage. However, this “error prevention” policy may not be entirely successful because human errors will inevitably occur. This requires that the error management process (e.g., detection, diagnosis and correction) must also be supported. Research has focused almost exclusively on error detection; little is known about error recovery, especially in the context of safety critical systems. The aim of this paper is to develop a research framework that integrates error recovery strategies employed by experienced practitioners in handling their own errors.

Method and Results

A control theoretic model of human performance was used to integrate error recovery strategies assembled from reviews of the literature, analyses of near misses from aviation and command & control domains, and observations of abnormal situations training at air traffic control facilities. The method of system dynamics has been used to analyze and compare error recovery strategies in terms of patterns of interaction, system affordances, and types of recovery plans. System dynamics offer a promising basis for studying the nature of error recovery management in the context of team interactions and system characteristics.

Impact on industry

The proposed taxonomy of error recovery strategies can help human factors and safety experts to develop resilient system designs and training solutions for managing human errors in unforeseen situations; it may also help incident investigators to explore why people's actions and assessments were not corrected at the time.     

Evaluating post-Katrina recovery in Mississippi using repeat photography

Hurricane Katrina of August 2005 had extensive consequences for the state of Mississippi in the United States. Widespread infrastructure and property damage, massive social dislocation, and ecological loss remain among the many challenges faced by communities as they work towards 'normalcy'. This study employs repeat photography to understand differential recovery from Hurricane Katrina in Mississippi. Revealing change with conventional landscape photography, a process known as repeat photography, is common in the natural sciences. Simply stated, repeat photography is the practice of re-photographing the same scene as it appears in an earlier photograph. Photographs were taken at 131 sites every six months over a three-year period. Each photograph was assigned a recovery score and a spatially interpolated recovery surface was generated for each time period. The mapped and graphed results show disparities in the progression of recovery: some communities quickly entered the rebuilding process whereas others have lagged far behind.     

A multiple additive regression tree analysis of three exposure measures during Hurricane Katrina

This paper analyses structural and personal exposure to Hurricane Katrina. Structural exposure is measured by flood height and building damage; personal exposure is measured by the locations of 911 calls made during the response. Using these variables, this paper characterises the geography of exposure and also demonstrates the utility of a robust analytical approach in understanding health‐related challenges to disadvantaged populations during recovery. Analysis is conducted using a contemporary statistical approach, a multiple additive regression tree (MART), which displays considerable improvement over traditional regression analysis. By using MART, the percentage of improvement in R‐squares over standard multiple linear regression ranges from about 62 to more than 100 per cent. The most revealing finding is the modelled verification that African Americans experienced disproportionate exposure in both structural and personal contexts. Given the impact of exposure to health outcomes, this finding has implications for understanding the long‐term health challenges facing this population.     

太湖流域污水处理厂升级改造的措施与思考

太湖蓝藻事件的爆发促使了太湖流域污水处理厂大范围的升级改造,升级改造的主要措施有强化生物处理、深度处理等,具体工程措施需要结合水质处理要求、现有处理工艺、经济发展水平等进行比选。升级改造的出水水质需要结合纳污水体的污染现状和环境容量进行合理确定。升级改造过程中需要重视进水水质水量的设计与监控,加强工程投资和运行费用的控制。     

Evaluating weather effects on interannual variation in net ecosystem productivity of a coastal temperate forest landscape: A model intercomparison

Forest productivity is strongly affected by seasonal weather patterns and by natural or anthropogenic disturbances. However weather effects on forest productivity are not currently represented in inventory-based models such as CBM-CFS3 used in national forest C accounting programs. To evaluate different approaches to modelling these effects, a model intercomparison was conducted among CBM-CFS3 and four process models (ecosys, CN-CLASS, Can-IBIS and 3PG) over a 2500 ha landscape in the Oyster River (OR) area of British Columbia, Canada. The process models used local weather data to simulate net primary productivity (NPP), net ecosystem productivity (NEP) and net biome productivity (NBP) from 1920 to 2005. Other inputs used by the process and inventory models were generated from soil, land cover and disturbance records. During a period of intense disturbance from 1928 to 1943, simulated NBP diverged considerably among the models. This divergence was attributed to differences among models in the sizes of detrital and humus C stocks in different soil layers to which a uniform set of soil C transformation coefficients was applied during disturbances. After the disturbance period, divergence in modelled NBP among models was much smaller, and attributed mainly to differences in simulated NPP caused by different approaches to modelling weather effects on productivity. In spite of these differences, age-detrended variation in annual NPP and NEP of closed canopy forest stands was negatively correlated with mean daily maximum air temperature during July-September (T_amax) in all process models (R² = 0.4-0.6), indicating that these correlations were robust. The negative correlation between T_amax and NEP was attributed to different processes in different models, which were tested by comparing CO₂ fluxes from these models with those measured by eddy covariance (EC) under contrasting air temperatures (T_a). The general agreement in sensitivity of annual NPP to T_amax among the process models led to the development of a generalized algorithm for weather effects on NPP of coastal temperate coniferous forests for use in inventory-based models such as CBM-CFS3: NPP′ = NPP − 57.1 (T_amax − 18.6), where NPP and NPP′ are the current and temperature-adjusted annual NPP estimates from the inventory-based model, 18.6 is the long-term mean daily maximum air temperature during July-September, and T_amax is the mean value for the current year. Our analysis indicated that the sensitivity of NPP to T_amax was nonlinear, so that this algorithm should not be extrapolated beyond the conditions of this study. However the process-based methodology to estimate weather effects on NPP and NEP developed in this study is widely applicable to other forest types and may be adopted for other inventory based forest carbon cycle models.