Acute lead acetate induces neurotoxicity through decreased synaptic plasticity-related protein expression and disordered dendritic formation in nerve cells

Environmental Science and Pollution Research - Lead (Pb) is a widespread environmental heavy metal that can damage the cerebral cortex and hippocampus, and reduce the learning and memory ability in...     

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.     

水体营养水平对3种沉水植物生长及抗氧化酶活性的影响

模拟研究了沉水植物狐尾藻Myriophyllum spicatum L、轮叶黑藻Hydrilla verticillata L和金鱼藻Ceratophyllum demersum L在中、富两种营养水平下的生长及生理特性.研究结果表明,在45 d的培养过程中,狐尾藻、轮叶黑藻和金鱼藻在中营养(TN1.86 mg·L-1;TP0.087 mg·L-1)和富营养(TN2.47 mg·L-1;TP0.16 mg·L-1)水平下的单株最大生物量分别是0.92、0.27、1.11、0.56、0.41和0.87 g,狐尾藻和金鱼藻在中营养水平下单株最大生物量分别较富营养水平下高出39%和22%,而黑藻在中营养水平下单株最大生物量较富营养水平下低了51%,表明狐尾藻和金鱼藻在中营养水平下的生长较黑藻好.通过对3种沉水植物可溶性蛋白和叶绿素质量分数的分析发现,黑藻在中富两种营养水平下,质量分数较低且波动平稳,金鱼藻和狐尾藻可溶性蛋白和叶绿素质量分数持续升高,表明这两种沉水植物对水体中营养盐的耐受能力较黑藻强.金鱼藻超氧歧化酶(SOD)活性、过氧化物酶(peroxidase)活性和丙二醛(MDA)含量在试验后期上升速度加快,且富营养水平下金鱼藻MDA质量分数的最大值是中营养水平下最大值的5倍,表明在中营养水平下金鱼藻已经受到明显胁迫,而在富营养水平下受到胁迫更为显著.在本试验条件下,黑藻生物量小,而金鱼藻SOD活性、POD活性和MDA质量分数变化幅度大,在试验后期急速上升,表明这两种沉水植物受到的营养盐胁迫较狐尾藻大,而狐尾藻在中营养水平下的耐营养盐胁迫能力较强.     

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     

调节风阀与风量的测量

根据玻璃熔窑助燃风系统 ,分析了工业炉燃烧自动控制过程中 ,调节风阀结构和流量计及其相对安装位置对风量测量及自控的影响 ,对通风自控系统设计、选型及安装具有一定的参考价值     

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。     

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。