电厂对珍禽保护区的环境影响评价实例探讨

以位于自然保护区边缘的火电厂建设项目环境影响评价为实例,阐述了火电厂生态环境评价中对自然保护区珍稀鸟类的保护方法,以供类似项目的生态环境影响评价借鉴。     

What is most important for safety climate: The company belonging or the local working environment? – A study from the Norwegian offshore industry

Obtaining knowledge about factors affecting health, safety and environment (HSE) is of major interest to the petroleum industry, but there is currently a severe shortage of relevant studies. The aim of this study was to examine the relative influence of offshore installation (local working environment) and company belonging on employees’ opinions concerning occupational health and safety. We analyzed data from a safety climate survey answered by 4479 Norwegian offshore petroleum employees in 2005 on the dimensions “Safety prioritisation”, “Safety management and involvement”, “Safety versus production”, “Individual motivation”, “System comprehension” and “Competence” using one way analysis of variance (ANOVA), effect size and mixed model. The companies differed significantly for “Safety prioritisation”, “Safety versus production”, “Individual motivation”, “System comprehension” and “Competence”. The local offshore installation explained more of the safety climate than the company they were employed in or worked for did.     

信息可视化在化工企业水环境安全影响评价中的研究及应用

运用data system.exe技术,对水环境评价系统功能模块进行设计;提出水环境影响评价信息可视化软件的设计方法;建立水环境污染因子数据信息可视化软件,并应用该软件对石油化工企业的水环境进行了初步的风险评价。结果表明:该软件能在识别污染因子数据信息的同时生成与之相匹配的直观的模拟环境图像,有助于管理者进行及时分析与决策;通过输入水环境污染因子监测值后,系统可以自动判定环境的污染的程度,并把对应环境质量的级别、环境的安全程度以及污染对人体与生物的影响程度在图中显示出来,能够有效地提高环境影响评价的可靠度;评价示意图中的评价因子可以根据需要进行增加或更换,有助于该系统的推广应用,建立的环境污染因子数据信息可视化模型具有很强的适用性。     

基于粗糙集-神经网络的矿山地质环境影响评价模型及应用

采用衡山白果地区石膏矿山的11个评价指标,综合运用粗糙集和神经网络理论,构建了基于粗糙集-神经网络(RS-ANN)的矿山地质环境影响评价模型,对RSES软件约简的数据和无约简的数据采用EasyNN-plus软件进行预测评价。神经网络模型的输入属性为8个,而粗糙集-神经网络模型的输入属性为6个,训练样本均为13个,预测样本均为4个,前者的平均预测精度为1.85%～24.86%,后者为1.23%～15.28%。研究发现,粗糙集在保留关键信息的前提下可有效地对数据表进行约简,约简后的神经网络预测结果与实际情况吻合,并比无约简时总体精度有较大幅度提高。     

运用法律手段加强环境治理工作的有效性

单靠道德自律及经济、行政性处罚等手段 不可能从根本上解决环境问题,唯有加强法律作为硬性强制性手段,才能加大环保工作的有效性。     

A Global Model Tracking Water, Nitrogen, and Land Inputs and Virtual Transfers from Industrialized Meat Production and Trade

Rising populations and incomes throughout the world have boosted meat demand by over 75% in the last 20years, intensifying pressures on production systems and the natural resources to which they are linked. As a growing proportion of global meat production is traded, the environmental impacts of production become increasingly separated from where the meat is consumed. In this paper, we quantify the use of three important resources associated with industrial livestock production and trade—water, land, and nitrogen—using a country-specific model that combines trade, agronomic, biogeochemical, and hydrological data. Our model focuses on pigs and chickens, as these animals are raised predominantly in intensive systems using concentrated, compound feeds. The results describe the geographical patterns of environmental resource use due to meat production, trade, and consumption. We show that US feed, animal, and meat destined for export require almost as much nitrogen and land, and 20% more water, than products destined for domestic consumption. Model results also demonstrate that among various production factors, improvements in crop yields and animal feed conversion efficiencies result in the most significant reductions in environmental harm. By explicitly tracking the externalities of meat production, we hope to bolster suppliers’ accountability and provide better information to meat consumers.

Modeling Acidification Recovery on Threatened Ecosystems: Application to the Evaluation of the Gothenburg Protocol in France

To evaluate the acid deposition reduction negotiated for 2010 within the UNECE LRTAP Gothenburg Protocol, sulphur and nitrogen deposition time-series (1880–2100) were compared to critical loads of acidity on five French ecosystems: Massif Central basalt (site 1) and granite (2); Paris Bassin tertiary sands (3); Vosges mountains sandstone (4) and Landes eolian sands (5). The SAFE model was used to estimate the response of soil solution pH and ratio to the deposition scenario. Among the five sites, critical loads were exceeded in the past at sites 3, 4 and 5. Sites 3 and 4 were still expected to exceed in 2010, the Protocol year. Further reduction of atmospheric deposition, mainly nitrogen, would be needed to achieve recovery on these ecosystems. At sites 3, 4 and 5, the delay between the critical load exceedance and the violation of the critical chemical criterion was estimated to be 10 to 30 years in the top soil and 50 to 90 years in the deeper soil. At site 5, a recovery was expected in the top soil in 2010 with a time lag of 10 years. Unexpectedly, soil pH continued to decrease after 1980 in the deeper soil at sites 2 and 5. This time lag indicated that acidification moved down the soil profile as a consequence of slow base cation depletion by ion exchange. This delayed response of the soil solution was the result of the combination of weathering rates and vegetation uptake but also of the relative ratio between base cation deposition and acid compounds.     

新疆矿区煤矿瓦斯排放现状与趋势分析

为获得新疆矿区当前生产规模对应的瓦斯排放基量,调查了研究矿区生产矿井的瓦斯排放现状.根据各矿区2004-2006年生产矿井的开采煤层、生产水平、生产规模和瓦斯排放等参数,对不同矿区和煤田进行了统计分析,计算了新疆矿区当前生产规模对应的瓦斯排放总量,同时对重点瓦斯防治矿区和一般瓦斯防治矿区进行了分类.调查结果表明,新疆矿区煤矿平均吨煤相对瓦斯涌出量由2004年的2.82m3/t增加到2006年的3.09 m3/t,呈逐年递增趋势; 新疆矿区2004-2006年的年平均瓦斯(CH4)排放量为1.05×108 m3/a;准南煤田(I)和塔北煤田(VI)的平均绝对瓦斯涌出量分别占全疆绝对瓦斯涌出总量的64.82%和15.19%,为相对瓦斯富集区,也是当前瓦斯防治的重点区域.按照矿区3年平均绝对瓦斯涌出量(大于1.00m3/min)或平均相对瓦斯涌出量(大于5m3/t)将新疆矿区分为重点瓦斯防治矿区和一般瓦斯防治矿区,并提出了瓦斯分类治理的具体建议.应用灰色系统理论,结合调查数据分别求解了新疆矿区原煤产量与绝对瓦斯涌出量的GM[1,1]预测模型.本研究为新疆煤炭资源后续规模开发过程中的相关环境决策和节能减排政策的实施提供了依据.     

“四沿”化工企业污水处理系统安全事故状态下负荷缓冲及安全环境(SE)联锁探讨

在对"四沿"(沿江、沿河、沿湖、沿海)化工行业污水处理方法及流程特点总结的基础上,归纳出应对水力和污染物冲击负荷的缓冲方法。为克服缓冲控制能力有限的缺点,提出一种新方法——SE(安全和环境)联锁,以期达到完善管理、提高控制效果的目的,并详细阐述了该方法在管理及技术层面的实施途径。     

细水雾中雾滴和高温环境的热质交换研究

由雾滴的表面的组分方程和能量方程入手,探讨雾滴在静止的高温环境中的热质交换及生存时间。应用折算薄膜理论,通过特征时间的比较,提出雾滴与高温环境主要通过沸腾机制实现热质交换;考虑滴径与速度变化的耦合作用,应用数值方法研究雾滴在强迫对流环境中与高温环境的热质交换情况。结果表明:对于滴径较小的雾滴不可能达到火焰区或可燃物表面实施火焰冷却和表面冷却,其灭火作用主要依赖于汽化吸热。