Synergistic effects of Cu species and acidity of Cu-ZSM-5 on catalytic performance for selective catalytic oxidation of n-butylamine

In this work, a series of Cu-ZSM-5 catalysts with different SiO₂/Al₂O₃ ratios (25, 50, 100 and 200) were synthesized and investigated in n-butylamine catalytic degradation. The n-butylamine can be completely catalytic degradation at 350°C over all Cu-ZSM-5 catalysts. Moreover, Cu-ZSM-5 (25) exhibited the highest selectivity to N₂, exceeding 90% at 350°C. These samples were investigated in detail by several characterizations to illuminate the dependence of the catalytic performance on redox properties, Cu species, and acidity. The characterization results proved that the redox properties and chemisorption oxygen primarily affect n-butylamine conversion. N₂ selectivity was impacted by the Brønsted acidity and the isolated Cu²⁺ species. Meanwhile, the surface acid sites over Cu-ZSM-5 catalysts could influence the formation of Cu species. Furthermore, in situ diffuse reflectance infrared Fourier transform spectra was adopted to explore the reaction mechanism. The Cu-ZSM-5 catalysts are the most prospective catalysts for nitrogen-containing volatile organic compounds removal, and the results in this study could provide new insights into catalysts design for VOC catalytic oxidation.     

云南兰坪铅锌矿区优势植物重金属富集特性及应用潜力

为筛选适合云南高原地区重金属污染土壤修复治理以及矿区生态复垦的植物材料,通过实地野外调查,采集云南兰坪铅锌矿区18种优势植物样品及相应根系土壤,测定其Cd、 Cr、 Cu、 Ni、 Pb和Zn含量,计算植物对重金属的富集和转运系数,通过聚类分析方法,综合评估植物的应用潜力.结果表明, 18种优势植物分属18属13科,均为草本植物.植物体内多种重金属含量均高于植物正常含量,其中,延胡索(Corydalis yanhusuo)、旱芹菜(Carum bretschneideri)和毛连菜(Picris hieracioides)地上部Cd含量分别达到62.29、 76.49和85.09 mg·kg~(-1),Cd富集系数分别为0.57、 0.58和0.66,转运系数分别为0.89、 0.45和1.48,有着较强的吸收和转移土壤重金属Cd能力,具有修复Cd污染土壤潜力.狼毒(Euphorbia fischeriana)和倒提壶(Cynoglossum amabile)地上部Cd含量分别为0.46 mg·kg~(-1)和0.23 mg·kg~(-1),富集系数均小于0.01,属于重金属低积累植物,适合在中国西南高海拔地区生长,两种植物可以考虑作为Cd污染农田安全利用经济植物.其余13种植物对矿区重金属污染有着较好的耐性,可以用作矿区植被修复.     

Water Quality Evaluation and Trend Analysis in Selected Watersheds of the Atlantic Region of Canada

Water quality indices (WQIs) have been developed to assess the suitability of water for a variety of uses. These indices reflect the status of water quality in lakes, streams, rivers, and reservoirs. The concept of WQIs is based on a comparison of the concentration of contaminants with the respective environmental standards. The number, frequency, and magnitude by which the environmental standards for specific variables are not met in a given time period are reflected in WQIs. Further, the water quality trend analysis predicts the behavior of the water quality parameters and overall water quality in the time domain. In this paper, the concept of WQI was applied to three selected watersheds of Atlantic region: the Mersey River, the Point Wolfe River, and the Dunk River sites. To have robust study, two different water quality indices are used: Canadian Water Quality Index (CWQI), and British Columbia Water Quality Index (BWQI). The complete study was conducted in two steps. The first step was to organize and process the data into a format compatible with WQI analysis. After processing the input data, the WQI was calculated. The second step outlined in the paper discusses detailed trend analysis using linear and quadratic models for all the three sites. As per the 25 years trend analysis, overall water quality for agriculture use observed an improving trend at all the three sites studied. Water quality for raw water used for drinking (prior to treatment) and aquatic uses has shown improving trend at Point Wolfe River. It is further observed that pH, SO₄, and NO₃ concentrations are improving at Dunk River, Mersey River, and Point Wolfe River sites. To ascertain the reliability and significance of the trend analysis, a detailed error analysis and parametric significance tests were also conducted It was observed that for most of the sites and water uses quadratic trend models were a better fit than the linear models.     

B-P网络应用于地下水水质监测点优选

以地下水水质评价分级标准作为训练样本,构造B-P网络模型对其进行训练,用训练好的B-P网络对某地的地下水水质监测点进行评判、优选。并与其它方法的结果进行比较,结果表明,B-P网络用于环境测点优选不仅原理直观,而且具有较好的客观性和实用性。     

BP网络应用于大气环境监测点的优选

为了对大气环境监测点进行优化选择 ,以大气质量分级标准为训练样本 ,构造BP网络进行训练 ,用训练好的BP网络对某地的大气环境监测采样点进行了优选 ,并与物元分析法优选结果进行比较。结果表明 ,BP网络用于环境测点优选具有较好的客观性和应用性     

Optimizing the atmospheric sampling sites using fuzzy mathematic methods

A new approach applying fuzzy mathematic theorems, including the Primary Matrix Element Theorem and the Fisher Classification Method, was established to solve the optimization problem of atmospheric environmental sampling sites. According to its basis, an application in the optimization of sampling sites in the atmospheric environmental monitoring was discussed. The method was proven to be suitable and effective. The results were admitted and applied by the Environmental Protection Bureau (EPB) of many cities of China. A set of computer software of this approach was also comuletelv comniled and used.     

特征分析方法优化大气监测布点及MATLAB语言实现

提出了运用特征分析方法优化大气监测布点,并介绍了该方法的MATLAB语言实现过程。应用于大气监测优化布点的实例结果表明,该方法用于监测优化布点是可靠的。     

邢台煤矿矿井水的综合治理及利用

随着开采深度及范围的扩大，邢台煤矿井下高压出水点越来越多，既浪费了大量的排水费用，又对岩溶水环境和水资源造成了严重破坏。针对上述情况，用四种不同的方法分别进行了封堵和重新利用，使矿井减少了４８０ｍ＾３／ｈ的无效排水，经济效益和环保效益均十分明显。     

基于BP网络的建筑安装施工现场安全综合评价的研究

针对目前我国建筑安装施工现场安全评价技术的不成熟和欠科学性的现状 ,笔者分析和综合了目前安全评价技术 ,结合建筑业特点 ,提出了基于BP神经网络的建筑安装施工现场安全评价方法 ,并对该评价模型的原理、方法及算法进行了研究。首先 ,结合建筑安装施工现场安全生产的特点建立评价指标体系 ,随后 ,运用层次分析法确定指标及准则层的权重 ,并运用模糊综合评价法生成评价样本集 ,最后 ,利用样本集训练BP网络 ,待误差满足要求后 ,即可运用训练成功的BP神经网络进行安全评价。     

安全降变原理及C-S-R事故致因新模型

为发展安全科学原理和给事故防控与调查提供新的方法,根据变化对系统安全的影响机制,开展安全降变原理及事故致因新模型研究。首先,提出安全降变原理并解析其内涵及研究意义。其次,基于安全降变原理,给出不同层级安全系统变化的分类实例,并对作业场所事故及其致因重新定义和分类。再次,构建基于安全降变原理的C-S-R事故致因新模型。最后,基于事故案例分析,验证所提出的C-S-R事故致因新模型与安全降变原理的有效性。结果表明,各级安全系统中自发或是受联动的变化超出系统的变化承受水平时,将导致事故的发生。经事故案例分析验证可知,安全降变原理及C-S-R事故致因新模型具有充分的实用性。