Fabrication and characterization of lightweight aggregate prepared from steel mill sludge in one step

Journal of Material Cycles and Waste Management - The qualified green lightweight aggregate (LWA) was successfully prepared from steel mill sludge (SMS) and fly ash (FAS) in one step using the...     

Direct degradation of methylene blue by unactivated peroxymonosulfate: reaction parameters,kinetics, and mechanism

Environmental Science and Pollution Research - Advanced oxidation processes (AOPs) are efficient methods for water purification. However, there are few studies on using peroxymonosulfate (PMS) to...     

The U.S.-China Supply Competition for Rare Earth Elements: a Dynamic Game View

Environmental Modeling & Assessment - Rare earth elements govern today’s high-tech world and are deemed to be essential for the attainment of sustainable development goals. Since the...     

Multiple-pattern parameter identification and uncertainty analysis approach for water quality modeling

This paper presents a multiple-pattern parameter identification and uncertainty analysis approach for robust water quality modeling using a neural network (NN) embedded genetic algorithm (GA). The modeling approach uses an adaptive NN–GA framework to inversely solve the governing equations in a water quality model for multiple parameter patterns, along with an alternating fitness method to maintain solution diversity. The procedure was demonstrated through a coupled 2D hydrodynamic and eutrophication model for Loch Raven Reservoir in Maryland. The inverse problem was formulated as a nonlinear optimization problem minimizing the degree of misfit (DOM) between model results and observed data. A set of NN models was developed to approximate the input-output response relationship of the Loch Raven Reservoir model and was incorporated into a GA framework in an adaptive fashion to search for near-optimal solutions minimizing the DOM. The numerical example showed that the adaptive NN–GA approach is capable of identifying multiple parameter patterns that reproduce the observed data equally well. The resulting parameter patterns were incorporated into the numerical model, and a multiple-pattern robust water quality modeling analysis, along with a compound margin of safety (CMOS) method, was proposed and applied to analyze the parameter pattern uncertainty.     

响应面法优化阴阳极同时作用电化学法处理染料废水

在自制电化学反应器中,以甲基橙模拟染料废水为处理对象,采用Box-Behnken Design响应面法研究了影响阴阳极同时作用电化学法处理染料废水的因素及其交互作用。实验得出各因素对废水脱色率影响的大小顺序为：电流密度> Fe³⁺浓度>Cl^-浓度。各因素之间的交互作用对废水脱色率影响的大小顺序为：电流密度和Fe³⁺浓度>电流密度和Cl^-浓度>Fe³⁺浓度和Cl^-浓度。优化结果表明：Fe³⁺浓度为1.02 mmol/L、Cl^-浓度为10.96 mmol/L、电流密度为11.52 mA/cm²时,最佳脱色率为94.67%。阴阳极同时作用电化学法对甲基橙去除效果显著。     

长袋低压脉冲袋式除尘器在水泥立窑烟气除尘上的应用

比较了几种用于水泥立窑烟气除尘装置后 ,长袋低压脉冲袋式除尘器的优势凸现 ,对其在广州新华水泥厂实际使用出现的问题作了详细分析 ,并提出了解决办法     

爱护动物尊重生命--访国际爱护动物基金会中国代表葛芮女士

野生动物的保护工作在中国已日显重要和迫切,今年广东省出台《广东省野生动物保护管理条例》,其中就对食用野生动物这一陋习在法律上给予了限制,使食用野生动物的“美食家”望而生畏,也使打击野生动物盗猎和非法食用者这项颇具难度的工作有法可依,逐渐走上正规。同时,今年恰逢中国正式加入濒危动植物种国际贸易公约20周年,且各中小学校即将开展爱护动物行动周的活动。借此契机,本刊记者与国际爱护动物基金会中国代表葛芮就中国以及世界野生濒危动物保护的历史、现状以及在这方面的宣传教育情况进行了详细的对话。     

利用废聚苯乙烯泡沫塑料制抗冻胶粘剂

以废聚苯乙烯泡沫塑料为主要原料,经溶剂消泡、改性后可制得低毒性的、粘接强度高的、低成本的改性抗冻胶粘剂。对原料的用量、低毒性混合溶剂的选择和配比、改性剂的选择进行了试验,并通过正交试验优化出主要原料的最佳配比,当聚乙烯醇缩甲醛：废聚苯乙烯泡沫塑料：酚醛树脂的质量比为25：38：1时,胶粘剂的剪切强度可达1.40MPa以上。     

新型絮凝剂室内评价试验

通过对比国外的有机絮凝剂和无机絮凝剂复配使用情况,对钻井污水用新型絮凝剂一有机一无机复合絮凝剂ＷＢＹ进行了评价,结果证明该絮凝剂能经济、高效地处理钻井污水。     

区域旅游业内部结构的动态关系与优化对策——以赤壁市千岛湖风景区为例

旅游市场的变化可作为触发因子推动区域旅游业内部结构处于动态变化之中。对于特定的风景资源结构,一定的旅游市场结构要求一定的旅游接待服务结构与之相适应,才能产生与之相适应的旅游行为层次获得最佳经济效益。基于此,通过建立区域旅游业内部结构的对应变换关系模式,可对风景旅游区进行“诊断”,并提出治理方案和发展规划。