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1.
/ The risk tropospheric ozone poses to forests in the United States is dependent on the variation in ozone exposure across the distribution of the forests in question and the various environmental and climate factors predominant in the region. All these factors have a spatial nature, and consequently an approach to characterization of ozone risk is presented that places ozone exposure-response functions for species as seedlings and model-simulated tree and stand responses in a spatial context using a geographical information systems (GIS). The GIS is used to aggregate factors considered important in a risk characterization, including: (1) estimated ozone exposures over forested regions, (2) measures of ozone effects on species' and stand growth, and (3) spatially distributed environmental, genetic, and exposure influences on species' response to ozone. The GIS-based risk characterization provides an estimation of the extent and magnitude of the potential ozone impact on forests. A preliminary risk characterization demonstrating this approach considered only the eastern United States and only the limited empirical data quantifying the effect of ozone exposures on forest tree species as seedlings. The area-weighted response of the annual seedling biomass loss formed the basis for a sensitivity ranking: sensitive-aspen and black cherry (14%-33% biomass loss over 50% of their distribution); moderately sensitive-tulip popular, loblolly pine, eastern white pine, and sugar maple (5%-13% biomass loss); insensitive-Virginia pine and red maple (0%-1% loss). In the future, the GIS-based risk characterization will include process-based model simulations of the three- to 5-year growth response of individual species as large trees with relevant environmental interactions and model simulated response of mixed stands. The interactive nature of GIS provides a tool to explore consequences of the range of climate conditions across a species' distribution, forest management practices, changing ozone precursors, regulatory control strategies, and other factors influencing the spatial distribution of ozone over time as more information becomes available.KEY WORDS: Ecological risk assessment; GIS; Ozone; Risk characterization; Forests; Trees  相似文献   

2.
“互联网+”时代的环境风险评估探讨   总被引:1,自引:1,他引:0       下载免费PDF全文
环境风险评估是环境管理的前提和依据。目前比较成熟的方法分为项目"事先"环评和健康"事后"风险评估。以上两种风险评估方法由于多种原因制约,无法提供给环境管理部门实时在线的环境风险结果。实际上,环境风险评估方法在不断完善中,随着互联网、物联网、云计算、三网融合等IT与通信技术的迅猛发展,环境保护领域也迎来了大数据时代,风险评估也将逐渐步入"互联网+"时代。新型环境风险评估更具系统性,将以数字化的形式体现环境(E)—污染物(M)—人为因素(H)的风险耦合度。虽然数字化环境风险评估在相关风险因子和风险评估方法上仍处于起步阶段,但它是新形势下环境风险管理的一个全新方向,其应用将对环境管理领域产生巨大影响。本文将分析传统环境风险评估与"互联网+"时代的环境风险评估差异,探讨新型数字化环境风险评估需要的支撑硬件与平台,并对数字化环境风险评估的发展趋势与挑战做出展望。  相似文献   

3.
Understanding Managers’ Views of Global Environmental Risk   总被引:1,自引:0,他引:1  
This research investigated managers’ views of two global environmental risks: climate change and loss of biodiversity. The intent was to understand why different managers place varying levels of attention and priority on these issues. The data came from in-depth interviews with 28 senior corporate managers across Canada and a range of sectors, although most were employed in the energy sector. Approximately half had direct environmental responsibilities and half had other management duties. Grounded theory was used to collect and analyze the data. From the results, a theoretical framework was constructed to explain important factors that can influence managers’ mental models of environmental risk. Four factors relevant to managers’ appraisal of the threat of environmental risk include: (1) salience, (2) intrinsic value of nature, (3) knowledge, and (4) perceived resilience of nature. In addition, four factors relevant to managers’ view of the appeal of a particular response strategy were: (1) avoidability, (2) perceived costs and benefits, (3) fairness and equity, and (4) effectiveness. The time horizon for decision making was seen as being important in both portions of the mental model.  相似文献   

4.
随着社会经济的发展和城市化进程的推进,我国环境风险事故频发。与此同时,公众对于美好环境的需求日益提升,公众与专家和政府之间的风险判断差异是不同规模的群体性事件发生的主要诱因。为识别公众环境风险接受度的影响因素,本研究基于结构方程模型分析了11种环境风险的客观风险水平和公众感知到的风险影响度、场域了解度、政府信任度、社会经济水平等因素对公众风险接受度的影响。研究结果显示,社会经济水平、风险影响度、场域了解度、政府信任度均直接影响公众的风险接受度;客观风险水平则通过风险影响度的中介作用间接影响风险接受度。因此,为在经济发展过程中降低公众风险感知偏差对生产生活的影响,我国除了通过更严格的风险管控手段降低风险事故发生概率和影响范围外,还需要通过信息公开、公众参与和生态科普等方式增强公众对风险场域的了解度和对政府的信任度以提升风险接受能力。  相似文献   

5.
The study of a method of regional environmental risk assessment   总被引:2,自引:0,他引:2  
Regional environmental risk assessment can be defined as risk assessment which deals with a spatial scale that contains multiple habitats with multiple sources of many stressors affecting multiple endpoints. The characteristics of the landscape also affect the estimated risk. In this paper, an information diffusion method based on a grid system is proposed to assess regional environmental risk. The risk information on a single environmental risk source can be diffused effectively by using fuzzy set theory. Regional environmental risk values obtained from information diffusion can be clustered on classification criteria and different environmental risk levels can be depicted in a spatial partition map. Huangge Town and Nansha Town located in the Nansha Area of Guangzhou City in China were selected as model cases. The results derived from this information diffusion method will help the local government to optimize the distribution of industrial areas and establish risk prevention measurements and emergency management procedures.  相似文献   

6.
The investigation is concerned with the reported incidence and frequency of homesickness following an environmental transition to university in a group of 101 first year university students. Definitions provided by students indicated that homesickness is a collective term for a number of cognitive and emotional/motivational experiences primarily associated with missing home and wanting to visit it. 60% reported homesickness. Geographical distance of the move and relative lack of satisfaction with features of the psychosocial and physical environment in the new place were found to be associated with homesickness reporting. Personality and circumstantial factors such as decisional control over the move and cognitive failure levels were also associated with homesickness reporting. A two-stage risk model is proposed in which an environmental relocation is a necessary but not a sufficient condition for homesickness; features of the new place combine with personality factors to precipitate the experience.  相似文献   

7.
着力防范化解环境社会风险是社会和谐稳定的重要前提。本文基于国内全网2019—2020年关于“垃圾焚烧”的网络舆情数据,通过情感词典、TF-IDF关键词提取和人工识别方法进行“邻避”冲突的原因分析,在此基础上构建本土化的“邻避”设施环境社会风险指标体系和评估方法,结合环境、人口和社会等多源大数据,基于自然断点法对风险等级进行分类,以全国生活垃圾焚烧发电设施的重点区域为案例开展环境社会风险的分析评估。结果表明,担忧破坏生态环境、反对选址位置、担忧排放物有毒是贯穿2019—2020年两年的主要反对原因,占据反对原因的50%以上。之后,本文对各项反对因素进行归纳汇总,构建了12项指标的风险评价指标体系,其中环境因素、人口因素和社会因素为一级指标,其权重分别达到0.33、0.49和0.18,人口因素是影响程度最大的因素;对案例风险评估结果表明全国范围和六大重点区域的大多数设施拟建设于重大风险或特大风险地区,需着重关注这些地区的生活垃圾焚烧发电项目规划布局和风险防控问题。  相似文献   

8.
The large number of chemical spills each year in the United States presents a potentially significant risk to human health and the environment. In an effort to manage this risk, the authors are developing a screening tool to assess the immediate threat to human and environmental receptors from land-based chemical spills. As part of this development effort, a modified Delphi survey was employed to determine the most important factors governing this risk and the relative importance of these factors. Results of the survey indicate that accounting for the attributes of the spilled chemical as well as the characteristics of the surrounding environment is imperative in making informed decisions regarding spill planning and mitigation. Survey results further indicate the greatest concern during spill events to be the risk to human health, which must be considered directly as well as factored into decisions concerning the protection of environmental receptors.  相似文献   

9.
This paper aims to identify the factors underlying farmers' propensity to participate in organic farming programmes in a Romanian rural region that confronts non-point source pollution. For this, we employ structural equation modelling with latent variables using a specific data set collected through an agri-environmental farm survey in 2001. The model includes one 'behavioural intention' latent variable ('propensity to participate in organic farming programmes') and five 'attitude' and 'socio-economic' latent variables ('socio-demographic characteristics', 'economic characteristics', 'agri-environmental information access', 'environmental risk perception' and 'general environmental concern'). The results indicate that, overall, the model has an adequate fit to the data. All loadings are statistically significant, supporting the theoretical basis for assignment of indicators for each latent variable. The significance tests for the structural model parameters show 'environmental risk perception' as the strongest determinant of farmers' propensity to participate in organic farming programmes.  相似文献   

10.
环境风险预测数学模型   总被引:2,自引:0,他引:2  
本文基于环境风险预测分析的基本思想,应用模糊图、灰色系统、非线性回归、随机过程和可靠性系统工程理论和方法,探讨了环境风险预测的数学模型。给出了环境风险预测的双向模糊图模型、灰色马尔夫预测模型及非线性回归模型,这些模型的应用为环境风险评价和环境风险管理提供了科学依据。  相似文献   

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