An ecological perspective on nanomaterial impacts in the environment

Growing concerns over the potential for unintended, adverse consequences of engineered nanoparticles (ENPs) in the environment have generated new research initiatives focused on understanding the ecological effects of ENPs. Almost nothing is currently known about the fate and transport of ENPs in environmental waters, soils, and sediments or about the biological impacts of ENPs in natural environments, and the bulk of modern nanotoxicogical research is focused on highly controlled laboratory studies with single species in simple media. In this paper, we provide an ecological perspective on the current state of knowledge regarding the likely environmental impacts of nanomaterials and propose a strategy for making rapid progress in new research in ecological nanoscience.     

Willingness and behavior towards e-waste recycling for residents in Beijing city,China

This paper is to investigate the behavior of residents towards electrical and electronic waste (e-waste) recycling in Beijing. For this purpose a large sample questionnaire survey was performed to explore the residents’ characteristics of recycling behavior and preference of e-waste recycling pattern. Besides, the willingness of residents to participate in e-waste recycling was also assessed in our study. For this a logistic regression model was developed to estimate and explain residents’ willingness in e-waste recycling. The model showed that Convenience of recycling facilities and service, Residential conditions, Recycling habit and Economic benefits are four determinants of Beijing residents’ willingness and behavior in e-waste recycling. And centralized recycling pattern by professional recovery spots would have a broad prospect if various kinds of channels can be provided to make the residents feel more convenient in e-waste recycling.     

Using biochar for remediation of soils contaminated with heavy metals and organic pollutants

Soil contamination with heavy metals and organic pollutants has increasingly become a serious global environmental issue in recent years. Considerable efforts have been made to remediate contaminated soils. Biochar has a large surface area, and high capacity to adsorb heavy metals and organic pollutants. Biochar can potentially be used to reduce the bioavailability and leachability of heavy metals and organic pollutants in soils through adsorption and other physicochemical reactions. Biochar is typically an alkaline material which can increase soil pH and contribute to stabilization of heavy metals. Application of biochar for remediation of contaminated soils may provide a new solution to the soil pollution problem. This paper provides an overview on the impact of biochar on the environmental fate and mobility of heavy metals and organic pollutants in contaminated soils and its implication for remediation of contaminated soils. Further research directions are identified to ensure a safe and sustainable use of biochar as a soil amendment for remediation of contaminated soils.     

铜、镉联合胁迫对羊角月牙藻的自由基氧化损伤影响研究

分析了铜和镉联合胁迫对羊角月牙藻(Selenastrum capricornutum)的影响,运用国内应用较少的新型技术——叶绿素荧光技术检测了胁迫下微藻的最大光能转化效率(Fv/Fm)受到的影响,并尝试通过膜脂过氧化损伤产物丙二醛(MDA)和其他指标在胁迫下的变化,对铜、镉联合胁迫机制进行初步探究。结果表明:(1)羊角月牙藻在铜、镉联合胁迫下生长受到抑制,表现出明显的浓度-效应关系。铜、镉的联合胁迫的相加指数为-1.63,表现为典型的拮抗作用。(2)通过叶绿素荧光技术的应用,探明Fv/Fm随毒性浓度的变化表现为浓度-效应关系,毒性浓度越大,羊角月牙藻的Fv/Fm越低,但在低毒性浓度刺激时随胁迫时间延长有回升迹象。(3)随毒性浓度的增加,羊角月牙藻的MDA增加,表现为显著的浓度-效应关系;可溶性蛋白质大体呈先升后降的趋势。(4)铜、镉联合胁迫下,MDA与羊角月牙藻生物量、Fv/Fm呈显著负相关。脂质过氧化是导致生物量下降和Fv/Fm受抑制的原因之一。(5)在微藻体内铜、镉发生拮抗作用的机制也可能与重金属的脂质过氧化作用由于拮抗受到抑制有关。     

充分运用劳动安全法规全面加强监察执法工作

我国相继颁发了一系列劳动安全的专门法律、法规，同时在其他的一些法律、法规中，对劳动安全也做出了相应的法律规定，初步形成了劳动安全法规体系。作为劳动行政部门的监察执法人员，既要精通专门的劳动安全法律、法规，也必须掌握相关的法律规定，以提高监察执法工作的力度和水平。     

基于多Agent技术的交通事故救援系统的研究

着重介绍了目前人工智能领域的研究热点问题———Agent技术的概念与原理 ,以及多Agent组的概念和分类 ;提出了基于多Agent技术的交通事故救援系统的流程框架 ;论述了该系统每一个Agent成员所能够完成的主要功能 ;通过该系统的实现 ,可以提高交通事故的及时报警与快速解决的效率 ,实行更加有效的交通流量合理分配 ;在利用既有交通基础设施的基础上增强了出行者的出行便利。笔者认为 ,随着Agent技术和网络技术研究的不断深入 ,基于Agent的应用研究必将有着更广泛的应用前景     

提高交通安全——实现智能汽车的研究

主要介绍了通过智能汽车的研究 ,提高城市交通安全的必要性 ;综述了发达国家关于智能汽车研究的现状与趋势 ,并通过国外智能汽车发展的趋势 ;进一步论证智能汽车的研究是汽车工业发展的方向 ,也是提高交通安全的重要手段之一。此外 ,论文提出利用模式识别技术的智能汽车的结构框架 ;指出神经网络方法应用与模式识别技术结合的优势。最后 ,论文在阐述我国需要发展智能汽车的同时 ,提出应结合中国国情相应研究相关理论 ,为今后的实施奠定基础的近期目标 ,并提出展望     

我国可持续发展中的绿色技术体系

本文在剖析绿色技术的概念内涵与特征的基础上,构建了由清洁生产技术、资源化技术、末端治理技术、生态农业技术、绿色食品技术、清洁消费技术与生态恢复技术等为主要内容的我国绿色技术体系,并从行政、经济、法律、教育及科研等五个方面阐述了促进我国可持续发展的绿色技术实施策略。     

自然资源开发利用度预警分析

本文分析了建立自然资源开发利用预警的必要性,研究了预警系统和预警流程。提出了预警建立的原则和相应的指标体系