模糊综合评价法在钢铁企业安全投资合理性评价中的应用

为了对钢铁企业安全投资进行模糊综合评价,建立了钢铁企业安全投资的评价体系,确定各因素的权重。得出模糊综合评价矩阵,可对各因素进行评价分析;得出某钢铁企业安全投资现状分数为83.9分,等级为较好,需着重加强安全培训、劳保品、工业卫生等人因素方面的投资;在环境方面的投资较合理。     

Performance assessment system of health,safety and environment based on experts' weights and fuzzy comprehensive evaluation

Performance evaluation of Health, Safety and Environment (HSE) is the measurement of a company's achievement in HSE management. In order to receive a comprehensive and objective evaluation result, it is necessary to consider all evaluation factors and experts at different levels when HSE performance assessment is conducted. To improve conventional HSE performance evaluation, where weighted average method was used, a Fuzzy Comprehensive Evaluation (FCE) method is used in this study by taking experts' weights into account. Further, an HSE operating performance assessment system is designed to simplify manual and complex assessment process and generate charts and analysis reports automatically. Finally, a case of petrochemical enterprise is used to illustrate the effectiveness of the method and system.     

Epidemiologic Analysis of Factors Associated with Local Disappearances of Native Ranid Frogs in Arizona

Abstract:  We examined factors that may independently or synergistically contribute to amphibian population declines. We used epidemiologic case–control methodology to sample and analyze a large database developed and maintained by the Arizona Game and Fish Department that describes historical and currently known ranid frog localities in Arizona, U.S.A. Sites with historical documentation of target ranid species ( n = 324) were evaluated to identify locations where frogs had disappeared during the study period (case sites) and locations where frog populations persisted (control sites). Between 1986 and 2003, 117 (36%) of the 324 sites became case sites, of which 105 were used in the analyses. An equal number of control sites were sampled to control for the effects of time. Risk factors, or predictor variables, were defined from environmental data summarized during site surveys and geographic information system data layers. We evaluated risk factors with univariate and multifactorial logistic-regression analyses to derive odds ratios (OR). Odds for local population disappearance were significantly related to 4 factors in the multifactorial model. Disappearance of frog populations increased with increasing elevation (OR = 2.7 for every 500 m, p < 0.01). Sites where disappearances occurred were 4.3 times more likely to have other nearby sites that also experienced disappearances (OR = 4.3, p < 0.01), whereas the odds of disappearance were 6.7 times less (OR = 0.15, p < 0.01) when there was a source population nearby. Sites with disappearances were 2.6 times more likely to have introduced crayfish than were control sites (OR = 2.6, p = 0.04). The identification of factors associated with frog disappearances increases understanding of declines occurring in natural populations and aids in conservation efforts to reestablish and protect native ranids by identifying and prioritizing implicated threats.     

常减压蒸馏装置改造危险因素分析及安全对策

应用危险性预分析法,对一套常减压蒸馏装置扩容改造施工的危险因素进行分析,制定出相应的防范对策,以确保改造工作的安全.     

灰色关联分析在城市污水处理厂规划改造决策中的应用

应用灰色系统理论中的灰色关联度定义 ,建立了城市污水处理厂改造的灰色决策模型 ,并对 1 1座污水处理厂进行了改造决策的综合评价 ,结果表明 ,其评价结果符合实际。     

浅谈油田开发项目事故风险环境影响和防治措施——以大庆太19区油田开发为例

通过对国内外油田开发的类比事故调查及资料分析,结合大庆太19区油田开采的实际情况,事故风险主要来自于钻井(井下作业)天然气集输管线以及站场等工艺环节,危险其安全的潜在危险因素主要有自然灾害、腐蚀环境、误操作、设备缺陷、施工及人为破坏等同题.在油田开发过程中所发生的事故,不论是人为因素引起的还是自然灾害,其最终结果都是导致原油、天然气或含油污水的泄漏及火灾爆炸事故,并产生不同程度的环境风险,因此采取风险防治措施显得尤为重要.     

南京雨花石

南京出产的雨花石为天赐瑰宝，按照矿物岩石学可分为11类，可从岩石质地、艺术、科学、历史四个方面评价其价值。雨花石作为砾石、卵石主要是由河流作用形成的，而组成雨花石的原岩的成因各异，火山作用是最为重要的成因方式。雨花石可从产品销售以及发展旅游事业等方面加以利用，搞好规划开发利用时要注意保护资源。     

铁路环境噪声对居民冲击影响的模糊综合评价

铁路环境噪声对居民的冲击影响程度不仅与列车运行辐射噪声级有关，而且还与人口密度，及白天、夜间的人口比例等因素有关。考虑以上诸多因素，采用模糊综合评价方法进行铁路环境噪声对居民的冲击影响的综合比较评价，并通过实例验证了该方法的有效性和可靠性，为铁路环境噪声评价提供了新的方法。     

我国矿业"走出去"风险勘探问题分析与建议

根据我国资源条件和经济发展的需要以及获取国外资源的方式进行比较分析得知，我国非常有必要到国外进行风险勘探。虽然我国经历了多年境外风险勘探的实践和探索，但是步伐缓慢，在实践中面临很多问题。对此，作者提出了我国境外风险勘探问题的建议。     

ENVIRONMENTAL AUDITING: An Approach for Characterizing Tropospheric Ozone Risk to Forests

/ 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