Taking Environmental Action: The Role of Local Composition, Context, and Collective

This article explores individual and community action taken in response to perceived environmental risks by investigating the determinants of environmental action across a range of action types. A conceptual framework is first presented, which provides a foundation for investigating the role of local compositional (i.e., individual characteristics), contextual (i.e., neighborhood environment), and collective (i.e., social networks) factors in environmental action. To test the utility of the conceptual framework, a quantitative survey was administered to a random sample of households (n = 512) in Hamilton, Canada. The results suggest that the predictors of environmental action vary by action type (i.e., personal change, individual civic action, and cooperative civic action), and that factors related to perceived environmental exposure and social capital generally play a stronger, more consistent role in civic environmental action than sociodemographic or neighborhood factors. The results underscore the role of social connection in responses to perceived environmental risks.     

环境中氡水平及其对人体健康危害

简介了环境中氡的水平、污染来源、变化规律、对人体的健康危害及防治措施。 并提示,新疆环境中氡的调查研究应引起有关部门的重视,对于氡及子体致癌机理、 多因素的综合 影响及危险估计等都待深入研究以及加紧氡的测量方法的研制。     

C/N ratio and fossil pigments in sediments ofsome Estonian lakes: an evidence of human impact andHolocene environmental change

The content of carbon (C), nitrogen(N), fossil carotenoids (TC) and chlorophyllderivatives (CD) in the sediments of five Estonianlakes was analysed. Historical records of man-inducedchanges on catchments were used for the interpretationof the obtained data. On the basis of the C/N ratiosit was estimated that the planktonic matter formed ca.25% (C/N ratio 24) to 90% (C/N ratio 8) of theorganic pool matter of lake sediments. In eutrophicLake Ruusmäe the fraction of the phytoplanktonproduced in lakes was highest, amounting toapproximately 80–95% of the deposited organic matter.Remarkable C/N changes were noted in the sedimentsfrom lakes Matsimäe and Viitna, where the contentof planktonic matter has increased during lastdecades, reflecting an increase in recreationalactivity around these lakes. The variations in pigmentconcentrations in the sediments of lakes Matsimäeand Ruusmäe could be explained by changes in theland-use that have altered the intensity of primaryproduction and conditions of TC and CD degradationbefore the final burial.     

预报方法导向的系统化空气质量预报业务作业平台设计

中国正在开展环境空气质量预报能力建设,其中最关键的业务支撑是预报业务平台。以往的业务作业平台设计多是从软件编程的便利性出发,按照预报要素进行分类,很少按照预报方法或预报流程设计。研究讨论了预报作业平台的设计方法,遵循预报方法流程和人体工程学设计2个原则。其中,遵循预报方法流程能够使业务作业工作获得最大的便利;参考人体工程学,利于操作与完成的高效性和简洁度。目前,中国的环境空气质量预报平台还处于初期发展阶段,有待不断地探索和完善,因此,研究讨论一个有效的业务作业平台设计框架,将有利于促进全国空气质量预报业务平台能力建设的开展和业务体系的发展。     

安全人因工程中的心理因素

心理因素在人因工程和系统安全管理中的作用越来越被人因专家所重视.总结了在安全人因工程中需考虑的人的心理因素,探讨了心理因素与行为的关系,心理与人的可靠性,以及心理因素在系统安全管理中的应用.     

人类活动强度对锦江浮游细菌群落结构的影响

为分析人类活动强度对锦江浮游细菌群落结构的影响机制,本研究于2021年1月（枯水期）和7月（丰水期）在锦江21个采样点采集表层水样,基于高通量测序技术研究浮游细菌群落特征,运用网络分析等方法阐明浮游细菌群落的交互作用,并探讨人类活动强度对其结构及构建过程的影响.结果表明：(1)枯/丰水期第一优势浮游细菌门均为变形菌门（Proteobacteria,53.08%/37.84%）,其次是放线菌门（Actinobacteriota,30.89%/32.05%）和拟杆菌门（Bacteroidota,9.41%/13.94%）;(2)与枯水期相比,丰水期浮游细菌群落的距离衰减效应更强,且其群落结构的季节变化大于人类活动强度影响下的空间变化,平均最近邻体指数（ENN＿MN）和农田是影响河流细菌群落的最主要因子,而该群落构建过程主要由不同水化学指标驱动;(3)Proteobacteria和Patescibacteria是浮游细菌群落交互作用的关键物种,低干扰强度下浮游细菌群落交互网络的稳定性优于其他干扰强度,林地和温度（T）分别是影响枯/丰水期网络稳定性的主要环境因子.(4)人类活动强度变化可通过调...     

How deep is the footprint? A 3D representation

Depletion of natural capital stocks and use of natural capital flows are the central issues in the sustainability debate. Differentiation of these two components, considering natural capital and its limits, is important for planning and management of land use. This paper offers insights into this issue and proposes a new perspective of the Ecological Footprint (EF) in three dimensions, considering not only its size but also its depth: according to this viewpoint the footprint is not an area but a volume, although maintaining the same value as the one in two dimensions. Use of annual flows provided by the Earth is represented by the footprint size, expressed in global hectares (gha) and plotted in the (x,y) plane. Footprint depth represents the demand for extra land to meet human needs through depletion of stocks of natural capital. It is plotted on the z-axis. It can be seen as the number of years necessary to regenerate resources liquidated in 1 year (and to absorb the respective wastes) or as the number of planets necessary to support the inhabitants of the planet Earth. The evolution of these two components in the last five decades is studied and discussed.     

镉、汞、锌3种重金属的雌激素样作用（Estrogenic Activity of Cadmium, Mercury, and Zinc）

为探讨镉、汞、锌3种重金属的雌激素样作用,采用双杂交酵母法测定了醋酸镉、氯化汞、醋酸锌单独作用时对重组基因酵母β-半乳糖苷酶诱导活性的EC50值.实验结果表明,醋酸镉浓度为1.0×10-5mol·L-(1实验浓度范围10-7~10-2mol·L-1),氯化汞浓度为5.0×10-7mol·L-(1实验浓度范围10-9~10-5mol·L-1),醋酸锌浓度为1.0×10-4mol·L-(1实验浓度范围10-9~10-2mol·L-1)时对酵母β-半乳糖苷酶诱导活性最大,分别达到1.3、0.95和1.1U.不能求出镉、汞、锌单独作用时对β-半乳糖苷酶诱导活性的EC50值.一味计算EC50值不仅难以评价重金属的雌激素活性,而且限制重组受体基因酵母法的普遍运用.一些重金属通过MCF-7细胞法(E-screen)呈阳性,通过重组hERα酵母法YES检测呈阴性,有可能是重金属通过与ERβ作用而产生效应.若构建出含ERβ基因的双杂交酵母菌株,与现有的方法互补将能完善环境雌激素的体外测评系统.     

Transport and dynamics of toxic pollutants in the natural environment and their effect on human health: research gaps and challenge

The source–pathway–receptor (SPR) approach to human exposure and risk assessment contains considerable uncertainty when using the refined modelling approaches to pollutant transport and dispersal, not least in how compounds of concern might be prioritised, proxy or indicator substances identified and the basic environmental and toxicological data collected. The impact of external environmental variables, urban systems and lifestyle is still poorly understood. This determines exposure of individuals and there are a number of methods being developed to provide more reliable spatial assessments. Within the human body, the dynamics of pollutants and effects on target organs from diffuse, transient sources of exposure sets ambitious challenges for traditional risk assessment approaches. Considerable potential exists in the application of, e.g. physiologically based pharmacokinetic (PBPK) models. The reduction in uncertainties associated with the effects of contaminants on humans, transport and dynamics influencing exposure, implications of adult versus child exposure and lifestyle and the development of realistic toxicological and exposure data are all highlighted as urgent research needs. The potential to integrate environmental with toxicological models provides the next phase of research opportunity and should be used to drive empirical and model assessments.     

An improved approach for identifying suitable habitat of Sambar Deer (Cervus unicolor Kerr) using ecological niche analysis and environmental categorization: Case study at Phu-Khieo Wildlife Sanctuary,Thailand

To assess habitat suitability (HS) has become an increasingly important component of species/ecosystem management. HS assessment is usually based on presence/absence data related to environmental variables. An exception is Ecological Niche Factor Analysis (ENFA), which uses only presence data and which does not require absence data. Most HS modelling is based on input of all environmental parameters (EnvPs) without environmental categorization, and does not take into account species interaction and human intervention for an assessment of HS. In this study, the EnvPs are arranged into four features: geographical features, consumable features, human-factor features, and species–human interaction features. These features affect species with respect to movement, behavior and activity. The research presented here has used an already existing dataset of wildlife species and human activities/visitations, which was compiled during 2004–2006 in Phu-Khieo Wildlife Sanctuary (PKWS). Data from 2004 to 2005 were used to produce HS maps, while the data of 2006 were used for evaluating these maps. Sambar Deer (SD) was chosen to predict its own HS. Six HS maps of SD were analyzed using ENFA in the following manner: (1) inputting all EnvPs together, (2) inputting each feature, separately and (3) integrating the four resulting HS maps by model averaging. It was found that model averaging was capable of predicting the HS of SD more reliably than the model with all EnvPs put in together. Multiple linear regressions were computed between the HS map with all EnvPs and the HS maps with each feature. The results show that the HS map with only geographical features has the highest coefficient value (0.516) while the coefficient values of other HS maps with the above features are 0.296, 0.53 and −0.006, respectively. This indicates that the geographical features have an influence on the other features and that the predicting power is lower when all EnvPs are computed in the ENFA model. Therefore, in order to generate HS, each feature should at first be put into the model separately. Following that, the average of all features will be combined.