环境科学领域中欧科技教育合作的探讨

欧盟高等教育有着悠久的历史,在环境科学领域处于世界领先水平。随着欧盟一体化进程的深入推进,中国工业化和城市化步伐的加快,环境科学领域面临着新的机遇和挑战,必将给中欧之间的科技教育合作创造更多的机会。面对新形势,有必要认真分析中欧在环境科学领域科技教育合作的现状与机遇,总结经验,找出问题,提出对策,进而促进中欧合作的健康发展。     

风险"疫苗"——智能化安全管理体系

采用预防医学中疫苗的概念,用于预防安全科学的风险管理.选用液氯仓库为研究对象,开发风险"疫苗"--智能化安全管理体系,预防氯气泄漏、中毒、火灾、爆炸事故的发生.风险"疫苗"的制作过程采用计算机技术、通讯技术和网络技术,使预防系统风险的可靠性进一步提高.     

基于AHP-熵权法的基层地震科普能力评价*

为提高基层地震科普评价工作的客观性和精准性,根据“环境-投入-产出-效果”的评价框架,建立涵盖保障能力、队伍能力、设施能力、产出能力、活动能力5类26项指标的基层地震科普能力评价指标体系,选用AHP-熵权法计算指标的组合权重;以天津为例进行验证,并提出相关工作建议。结果表明:建立的评价模型对于开展定量化的区域基层地震科普能力评价具有较强的参考价值,评价结果与实际情况基本相符;天津市基层地震科普在硬件建设方面取得较好成效,但整体能力依然偏弱,16个区平均得分仅为0.344 8;发展不平衡、软实力不足是制约当前发展最重要的2个因素;提出相关的工作建议可为优化基层科普工作布局、提高工作实效提供有益参考。     

Advancing injury and violence prevention through data science

Introduction: The volume of new data that is created each year relevant to injury and violence prevention continues to grow. Furthermore, the variety and complexity of the types of useful data has also progressed beyond traditional, structured data. In order to more effectively advance injury research and prevention efforts, the adoption of data science tools, methods, and techniques, such as natural language processing and machine learning, by the field of injury and violence prevention is imperative. Method: The Centers for Disease Control and Prevention’s (CDC) National Center for Injury Prevention and Control has conducted numerous data science pilot projects and recently developed a Data Science Strategy. This strategy includes goals on expanding the availability of more timely data systems, improving rapid identification of health threats and responses, increasing access to accurate health information and preventing misinformation, improving data linkages, expanding data visualization efforts, and increasing efficiency of analytic and scientific processes for injury and violence, among others. Results: To achieve these goals, CDC is expanding its data science capacity in the areas of internal workforce, partnerships, and information technology infrastructure. Practical Application: These efforts will expand the use of data science approaches to improve how CDC and the field address ongoing injury and violence priorities and challenges.     

中国生态环境科技创新体系建设研究

分析国内外生态环境科技创新的发展现状,相比较国外以市场机制为导向、以企业为创新主体、政府通过政策和管辖支撑创新的体系特征,我国已形成四大类环境类科创载体,但尚未形成成熟有效的技术成果产业化机制以及市场与政策协同促进科技创新的发展模式。本文根据生态环境科技创新的强政策驱动性、技术验证放大周期长以及集成性强的特点,重点通过环境技术研发、技术成果转化、技术放大与赋能、产业拓展与推广四个方面阐述了生态环境科技创新体系建设的主要环节：环境技术的研发由以科研机构为主的传统自发性研发、企业迭代性研发和联合应用型研发组成;技术成果的转化经历挖掘发现、技术识别与判断、知识产权评估评价后进入已成立的企业或新设公司,在这一过程中,成果转化专业队伍起着至关重要的作用;技术放大与赋能旨在为有创新技术的企业提供科技创新政策、二次研发中试验证、首台套工程案例、投融资等资源的对接,以协助初创企业成长;产业的拓展与推广则通过为解决环境问题形成集成方案、孵化平台为企业背书和产业政策匹配等方式助力企业长期发展。最后从加强专业化创新平台、技术评估体系、成果转化人才培养体系建设以及疏通投融资渠道等方面对中国未来生态环境科技创新发展提出相关建议。     

Linking Water Science to Policy: Results from a Series of National Workshops on Water

To ensure science better informs the decision-making process, researchers and policy/program managers need to understand and respect each other's way of working, culture and operational timelines. However, there is little practical guidance on how this should be done and even less documented experience with specific mechanisms that better link these two groups. The published literature on information transfer has largely emphasized the dissemination of standard packages of information to ill-defined constituencies whose needs for scientific information are not well understood. Environment Canada's National Water Research Institute, on behalf of the Canadian Council of Ministers of the Environment, led a series of “Linking Water Science to Policy Workshops” as one such mechanism by which recent science could be delivered to practitioners, and practitioners could identify their research needs to scientists and research managers. There is a pressing need to explore and share experiences using creative mechanisms for sustained dialogue and networking between scientists and policy and program managers. The lessons learned from the workshop series and the need for science to continually inform the decision-making process has particular relevance for Canada's Ecosystem Initiatives given their integrated, place-based focus on long-term restoration and protection, and the challenge of continually changing ecosystems.The Canadian Crown reserves the right to retain a non-exclusive, royalty free licence in and to any copyright.     

Increasing collaboration between China and India in the environmental sciences to foster global sustainability

As the two largest countries by population, China and India have pervasive effects on the ecosphere. Because of their human population size and long international boundary, they share biodiversity and the threats to it, as well as crops, pests and diseases. We ranked the two countries on a variety of environmental challenges and solutions, illustrating quantitatively their environmental footprint and the parallels between them regarding the threats to their human populations and biodiversity. Yet we show that China and India continue to have few co-authorships in environmental publications, even as their major funding for scientific research has expanded. An agenda for collaboration between China and India can start with the shared Himalaya, linking the countries’ scientists and institutions. A broader agenda can then be framed around environmental challenges that have regional patterns. Coordinated and collaborative research has the potential to improve the two countries’ environmental performance, with implications for global sustainability.     

Gas/particle partitioning of atmospheric PCDD/Fs in a satellite town in Eastern China

Gas/particle partitioning of polychlorinated dibenzo-p-dioxins and dibenzofurans (PCDD/Fs) in ambient air was investigated in a satellite town in Eastern China from April 2007 to January 2008 comprehending large temperature variations (from 3 to 34 °C, daily average). Molecular weight, molecular structure and ambient temperatures are the three major factors that govern the gas/particle partitioning of atmospheric PCDD/Fs throughout the year. Generally, good agreements were obtained (except for winter) between measured particulate fractions and theoretical estimates of both the Junge–Pankow adsorption model and Harner Bidleman absorption model using different sets of subcooled liquid vapor pressure and octanol–air partition coefficient (K_oa), respectively. Models utilizing estimates, derived from gas chromatographic retention indices (GC-RIs), are more accurate than that of entropy-based. Moreover, during winter, the K_oa-based model using the GC-RIs approach performs better on lower chlorinated PCDD/Fs than that of -based. Furthermore, possible sources of mismatch between measured and predicted values in winter (3–7 °C) were discussed. Gas adsorption artifact was demonstrated to be of minor importance for the phenomena observed. On the other hand, large deviations of slopes (m_r) and intercepts (b_r) in logK_p vs. plots from theoretical values are observed in the literature data and these are found to be linearly correlated with ambient temperatures (P<0.001) in this study. This indicates that the non-equilibrium partitioning of PCDD/Fs in winter may be significantly influenced by the colder temperatures that may have slowed down the exchange between gaseous and particulate fractions.     

From land cover change to land function dynamics: a major challenge to improve land characterization

Land cover change has always had a central role in land change science. This central role is largely the result of the possibilities to map and characterize land cover based on observations and remote sensing. This paper argues that more attention should be given to land use and land functions and linkages between these. Consideration of land functions that provide a wide range of goods and services makes more integrated assessments of land change possible. The increasing attention to multifunctional land use is another incentive to develop methods to assess changes in land functions. A number of methods to quantify and map the spatial extent of land use and land functions are discussed and the implications for modeling are identified based on recent model approaches in land change science. The mixed use of land cover, land use and land function in maps and models leads to inconsistencies in land change assessments. Explicit attention to the non-linear relations between land cover, land use and land function is essential to consistently address land change. New methods to map and quantify land function dynamics will enhance our ability to understand and model land system change and adequately inform policies and planning.