乌鞘岭隧道施工环境保护措施探讨

对乌鞘岭隧道施工过程中的环境保护措施进行了探讨,对施工过程中产生的水污染、大气及洞内空气污染、固体废弃物污染、噪声污染、植被破坏等采取了相应的措施,取得了良好的效果。     

天然气汽车加气站压缩机房火灾爆炸事故故障树分析

压缩天然气汽车加气站压缩机房具有高压、易泄漏、易爆炸等危险性特点。根据其运行的实际情况,对压缩机房火灾爆炸事故原因运用故障树进行了深入分析,提出了压缩机房火灾爆炸事故预防对策。     

黄柏河流域水体污染及防治初探

当前,河道型水库水污染问题（包括水库自身及其支流）受到越来越多的关注.黄柏河是长江的一级支流,属于葛洲坝水库流域,受葛洲坝水库蓄水影响,其水体水动力条件完全改变,使水体污染日益严重,已严重影响到沿岸经济的发展.根据1998 - 2002年黄柏河河道断面水质监测资料,进行水质现状评价,分析引起流域水体污染的主要环境问题及其产生原因,提出黄柏河流域水污染综合防治措施.     

大坝安全评价的可接受风险研究与评述

评述了国内外安全领域可接受风险研究的历史和现状.根据事故后果对风险进行分类,对不同类型风险给出风险定量表示方法,针对不同的风险定量表示方法,应用F-N曲线和ALARP准则研究相应的可接受风险确定方法,并就其在大坝安全风险评价领域的应用进行探讨.     

大学生使用电脑及受其电磁辐射污染状况的调查

为了解目前高校内大学生拥有个人电脑的情况,以及大学生对其所产生电磁辐射污染的了解程度和受其危害程度,在南开大学本部选取有代表性的学生宿舍楼进行问卷调查.结果显示,大学生中个人电脑的普及率为45.7%,以电磁辐射强度相对大的阴极射线管(Cathod RayTube,CRT)显示器电脑为主,占64.9%;拥有个人电脑的大学生,平均每日使用电脑的时间长;学生使用电脑后出现不良症状(眼疼、头晕等)的比例高,为77.4%,女生对电磁辐射的敏感程度高于男生;随每日使用电脑时间的延长,出现不良症状的人数增加;大学生对电磁辐射的危害有所了解的人数比例为71.9%,但知道防护措施的仅为29.6%,使用防护屏的仅为5.4%.综合调查结果认为,大学生电脑普及率高,使用时间长,且对电脑电磁辐射无应有的防护,大多数大学生在一定程度上已经受到了电磁辐射的影响,大学生受电脑电磁辐射已经成为一个值得关注的新问题.     

气候变化对珙桐分布的潜在影响

分析气候变化对植物分布的影响,对气候变化影响下的生物多样性保护具有重要意义. 利用分类和回归树 (Classification and Regression Tree,CART)生态位模型,设定A1,A2,B1和B2 4种气候变化情景,模拟分析了气候变化对珙桐(Davidia involucrata Baill)分布的影响. 结果表明:随气候变化,珙桐目前适宜分布范围将减小,但新适宜及总适宜分布范围将扩大;珙桐适宜分布范围在模拟时段呈缩小趋势,在A1情景下减幅最大,B1情景下减幅最小. 气候变化后,由于珙桐目前适宜分布范围的东部、南部、北部、东北部和东南部地区缩小,而新适宜分布范围将主要向我国西部及西南部地区扩展,因此,目前适宜分布范围将被破碎化. 气温变化对珙桐分布范围的影响大于降水量的影响.      

Traditional occupancy–abundance models are inadequate for zero-inflated ecological count data

Traditional occupancy–abundance and abundance–variance–occupancy models do not take into account zero-inflation, which occurs when sampling rare species or in correlated counts arising from repeated measures. In this paper we propose a novel approach extending occupancy–abundance relationships to zero-inflated count data. This approach involves three steps: (1) selecting distributional assumptions and parsimonious models for the count data, (2) estimating abundance, occupancy and variance parameters as functions of site- and/or time-specific covariates, and (3) modelling the occupancy–abundance relationship using the parameters estimated in step 2. Five count datasets were used for comparing standard Poisson and negative binomial distribution (NBD) occupancy–abundance models. Zero-inflated Poisson (ZIP) and zero-inflated negative binomial (ZINB) occupancy–abundance models were introduced for the first time, and these were compared with the Poisson, NBD, He and Gaston's and Wilson and Room's abundance–variance–occupancy models. The percentage of zero counts ranged from 45 to 80% in the datasets analysed. For most of the datasets, the ZINB occupancy–abundance model performed better than the traditional Poisson, NBD and Wilson and Room's model. He and Gaston's model performed better than the ZINB in two out of the five datasets. However, the occupancy predicted by all models increased faster than the observed as density increased resulting in significant mismatch at the highest densities. Limitations of the various models are discussed, and the need for careful choice of count distributions and predictors in estimating abundance and occupancy parameter are indicated.     

涉及自然保护区建设项目的环境管理

针对自然保护区的特点和生物多样性保护的要求,明确了涉及自然保护区建设项目的范畴、准入条件,对建设项目立项期、施工期和运营期3个阶段自然保护区管理机构应采取的环境管理措施进行了分析,并提出了相关对策建议,以期为促进自然保护区的建设管理提供规范性指导.     

Social learning for sustainability: supporting sustainable business in Brazil regarding multiple social actors,relationships and interests

Finding solutions for complex environmental, economic and social issues in organisations relies on coordinated actions among several social actors that are involved in the sustainable development web and demands that they learn new business methods. In this scenario, which involves multiple social actors, relationships, contexts and interests, social learning has emerged as a hybrid approach to resolving complex environmental and social problems. Such an approach marks a different situation for organisations whose focus is not only on supporting such problem resolution but also on transforming such crises into opportunities to generate sustainable products and services. Thus, this study discusses how one of the largest companies in Latin America’s chemical segment formed a network with 23 social actors and is socially learning to deal with the dialectic between return on investments for its shareholders and benefits for its stakeholders. Research was conducted based on Boje’s narrative analysis. The data was built through interviews, informal conversations, textual and audio-visual documents and non-participant observation. This paper discusses the concept and describes the social learning process for sustainability (in this case, for sustainable agriculture) from the viewpoint of a for-profit organisation. In this manner, this study contributes to strengthening the connection between social learning and sustainability.