Breakthrough and Sulfate Conversion Analysis during Removal of Sulfur Dioxide by Calcium Oxide Sorbents

Sorption of sulfur dioxide (SO₂) was carried out on calcium‐based sorbents under dynamic conditions in a fixed bed. The experimental conditions were reaction temperature (700 to 1000°C), SO₂ concentration (1000‐10 000 ppm), sorbent particles size (1 to 2 mm) and the types of sorbents (hydroxide or carbonate). The sorption process was found to be effective at low concentration levels (less than 10 000 ppm) as the breakthrough time significantly decreased with increase in concentration. The maximum removal of SO₂ was observed at a reaction temperature of 950°C. The hydroxide‐based sorbents of relatively smaller particle size were found to exhibit superior sorption performance in terms of longer breakthrough time and higher sulfate conversion. A mathematical model developed, assuming a porous structure of the sorbent materials, attributed the low sulfation conversion during SO₂ sorption due to a pore diffusion mechanism.     

环境砷污染及其治理技术发展趋势

本文阐述了砷的毒性以及其引起的环境污染,并详细说明了国内砷污染的现状,随后总结了砷污染防治的方法,及砷污染的主要对策——生物法。生物法是一种环境友好的方法,它包括微生物法和植物法以及微生物和植物联合修复法。其中利用微生物和植物联合修复法具有很好的发展前景,是未来治理受砷污染的水体和土壤的主要方法。     

Removal of chromium (VI) from dilute aqueous solutions by activated carbon developed from Terminalia arjuna nuts activated with zinc chloride

Different structured activated carbons were prepared from Terminalia arjuna nuts, an agricultural waste, by chemical activation with zinc chloride for the adsorption of Cr(VI) from dilute aqueous solutions. The most important parameter in chemical activation was found to be the chemical ratio (activating agent/precursor, g/g). Carbonization temperature and time are the other two important variables, which had significant effect on the pore structure of carbon. A high surface area of was obtained at a chemical ratio of 300%, carbonization time and temperature of 1 h and 500 °C, respectively. The activated carbon developed shows substantial capability to adsorb Cr(VI) from dilute aqueous solutions. The parameters studied include pH, adsorbent dosage, contact time, and initial concentrations. The kinetic data were best fitted to the Lagergren pseudo-first-order model. The isotherm equilibrium data were well fitted by the Langmuir and Freundlich models. The maximum removal of chromium was obtained at pH 1.0 (about 99% for adsorbent dose of 2 g/l and 10 mg/l initial concentration).     

聚醚砜膜原位清洗方法的实验研究

实验对已污染的聚醚砜膜进行了清洗的研究,并通过测量各种清洗剂清洗后膜水通量的恢复,确定适宜的清洗剂、清洗时间、清洗液浓度和操作压力,选择出最佳的清洗方案,取得较好的清洗效果。通过研究表明:被污染的聚醚砜膜用混合清洗剂清洗恢复率可达到85%,效果要明显优于单一的清洗方法。     

循环经济与浮法玻璃工艺的发展

在玻璃行业贯彻循环经济的理念,改进工艺思想和方法,节约资源,降低消耗,提高资源利用率,减少污染物排放,是我们对后人应负的责任和对地球应尽的义务。     

中国汞污染的现状及防治对策

综述了环境汞污染的主要来源及特点,分析了中国现阶段汞污染的现状,提出加强燃煤汞污染的控制、削减工业汞使用量、提高社会公众的参与意识是治理我国汞污染当采取的有效措施。     

连续冶炼冶金焦工艺初探──（Ⅰ）现状分析和连续混热式焦炉的结构

本文论述了炼焦工艺的现状和发展方向，分析了存在的问题，提出了一种全新的连续型混热式冶金焦炉结构及其工艺流程，为焦化工业的发展探讨了一条新的途径。     

β-环糊精-氧化石墨烯超分子杂化体的构筑及应用进展

β-环糊精是由7个D-吡喃葡萄糖单元通过α-1,4-糖苷键键连成环的超分子主体分子，“内疏水、外亲水”的独特结构赋予了其优异的分子识别能力；氧化石墨烯类材料凭借其优良特性成为近几年的研究热点。由β-环糊精和氧化石墨烯构筑的超分子杂化体在兼具二者特有性能的基础上又有新功能的引入。本文综述了β-环糊精-氧化石墨烯超分子杂化体的构筑方式，按二者间的连接方式，分别为共价键和非共价键两种连接方式，其中通过共价键连接是目前最主要的构筑方式；此外对β-环糊精-氧化石墨烯超分子杂化体的特征和表征进行了简述。同时对β-环糊精-氧化石墨烯超分子杂化体在水污染处理、电化学检测、药物控释和催化等领域的应用进展进行了综述。最后对该超分子杂化体在构筑和应用上的发展趋势进行了展望。     

钽铌湿法冶金技术概况及发展趋势探讨

介绍了钽铌湿法冶金技术的发展概况和现状。根据分解介质的不同,钽铌湿法治金技术可分为碱熔融法、酸法和氯化法,碱熔融法可分为钠碱熔融法和钾碱熔融法,酸法主要有氢氟酸法和硫酸法。分别介绍了以上各方法的工艺路线,并对其优缺点进行了分析。针对现行氢氟酸工艺存在严重氟污染和对低品位钽铌矿分解率低的问题,依据清洁冶金原理,提出了钽铌亚熔盐清洁冶金新工艺,从生产源头消除了氟污染,可实现钽铌资源的高效清洁利用,具有良好的应用前景。     

NEURAL-NETWORK-AIDED DESIGN OF AUTOMOBILE EXHAUST CATALYSTS

A priori design of catalysts is not yet possible. Such task would demand unavailable scientific knowledge of the correlations among synthesis parameters and resulting solid state and surface structures, on the one hand, and among those atomic-level structural details and their catalytic functions, on the other hand. To avoid testing every possible combination, therefore, the applied chemist or chemical engineer must identify empirical correlations underlying the existing experimental data base.

The ability of artificial neural networks to identify complex correlations and to predict the result of experiments has recently generated considerable interest in various areas of science and engineering. In this paper, neural networks are used to identify composition-performance relationships in automobile exhaust catalysts.

This work employs an artificial neural network technique to do a sensitivity analysis of the conversions of pollutant gases as a function of the catalyst composition and the operating conditions. This approach converges on the optimum catalyst composition and operating condition in order to produce specified conversions of carbon monoxide, hydrocarbons and nitrogen oxides, to carbon dioxide, water and di-nitrogen respectively.