以人为因素为中心的航空安全多级模糊综合评价

在航空安全中,根据SHEL模型,以人为因素为中心,列出影响航空安全的一级和二级指标进行多级模糊综合评价,得出各指标对航空安全的影响权重,从而采取相应措施,即加强组织内的横向纵向沟通交流,加大机务方面的培训力度,严格按照标准操作程序,形成公正合理、积极向上的企业文化,以提高航空安全.     

管帏冲击式除尘器的应用

介绍了管帏冲击式除尘器的结构及其捕尘机理。介绍了对该除尘器进行除尘和防淋雨性能测试的实验方法和装置。分析了实验数据，得出了相应的结论。     

The GaNE programme in a global perspective

This paper provides the background to this special issue, outlining the extent to which the global atmospheric nitrogen cycle has been modified by human activity and outlining the range of effects. The global total emissions of reduced and oxidized nitrogen, amount to 124 Tg N, and exceed those from natural sources (34 Tg N) by almost a factor of four showing the extent to which anthropogenic activity has taken over the global N cycle. Of the 124 Tg N, 70 Tg N is emitted in the oxidized form, largely as NO and 70% of which results directly from anthropogenic activity. The remaining 54 Tg N is emitted as NH₃, (66% anthropogenic). The enhanced nitrogen emissions are associated with a range of local, regional and global issues including, acidification, eutrophication, climate change, human health and tropospheric O₃. The paper also places the Global Nitrogen Enrichment (GaNE) research programme in the UK in a wider perspective.     

层次分析法在工业园区生态影响评价中的应用--攀枝花市高耗能工业园区生态环境影响探讨

目前生态影响评价研究中的评价对象、内容和方法缺乏统一的模式，本文以攀枝花高耗能园区的开发为例，尝试建立一套系统的工业园区开发生态影响评价方法，该方法以层次分析法为基础，将生态系统分解为经济发展、社会进步、环境保护、景观生态保护四个目标子系统，并在此基础上细化评价因子，通过专家打分和矩阵运算确定其权重，再根据适当的评价标准，运用指数法得出评价结果。结果表明该工业园区在建成前后，其生态综合指数由0．552提高到0．794．其级别由三级提高到二级，说明该园区生态系统总的状态得到改善，该工业园区项目开发可行。     

地球系统科学提出前我国科学界的某些思维

列举了在1988年美国提出"地球系统科学"前我国学者在该领域的某些思维:人与天地相应的观点,东亚大陆磁异常与我国人群健康关系的观点,天地生三位一体的观点,地球表层学的观点以及灾害系统的观点等.这些观点虽不如"地球系统科学"着眼于全球整体,但也包括了很大的系统,且不空洞.     

地震灾害对中国农村居民的影响研究--以云南省大姚县为例

通过对2003年7月21日和10月16日分别发生6.2和6.1级地震的云南省大姚县居民的问卷调查,分析了地震灾害对中困农村居民的影响,了解了我国农村居民尤其是地震多发区农村居民对地震灾害的风险意识以及在地震灾害中的反应.调查结果表明:中国农村居民是地震灾害的最大受害者和风险承担者.虽然他们会在地震灾害中汲取经验教训,增强风险防范意识,但是由于经济水平、自然环境等客观条件的影响,他们只能被动地承受地震灾害,而不能从根本上改变承灾体的脆弱性.中国农村地震减灾、防灾能力的加强需要政府管理部门的积极参与.     

清洁生产纳入环境影响评价的意义

当前的环境影响评价在某种程度上更侧重于环境的末端治理,无法将污染控制与生产过程控制密切结合,资源和能源不能在生产过程中得到充分利用.而清洁生产在这方面却有着独特的特点和优势.根据清洁生产与环境影响评价的内在联系,尽快地将清洁生产纳入环境影响评价是具有重要意义的,清洁生产应该成为环境影响评价报告撰写中的重要内容.     

The Water Fluxes of the Yellow River to the Sea in the Past 50 Years, in Response to Climate Change and Human Activities

Since the 1970s, the water fluxes to the sea of the Yellow River have declined significantly. Based on data of precipitation, air temperature, the measured and “natural” river flow, the water diversion and consumption, and the areas of erosion and sediment control measures over the drainage basin, water fluxes to the sea of the Yellow River are studied in relation with the influences of changing climate and human activities. The Yellow River basin can be divided into different water source areas; multiple regression indicates that the variation in precipitation over different water source areas has different effect on water fluxes to the sea. In the period between 1970 and 1997, averaged air temperature over the whole Yellow River increased by about 1.0°C, from 16.5°C to 17.5°C, a factor that is negatively correlated with the water yield of the Yellow River. Water diversion and consumption has sharply increased and resulted in a significant decline in the water fluxes to the sea. Since the 1960s, erosion and sediment control measures have been practiced over the drainage basin. This factor, to a lesser degree, is also responsible for the decrease in water fluxes to the sea. A multiple regression equation has been established to estimate the change in water fluxes to the sea caused by the changes in precipitation, air temperature, water diversion and consumption, erosion, and sediment control measures, indicating that the contribution of water diversion and consumption to the variation in annual water flux to the sea is 41.3%, that of precipitation is 40.8%, that of temperature is 11.4%, and that of erosion and sediment control measures is 6.5%.     

Impact of Human Activities on Carbon Dioxide (CO<Subscript>2</Subscript>) Emissions: A Statistical Analysis

Summary The balance of evidence suggests a perceptible human influence on global ecosystems. Human activities are affecting the global ecosystem, some directly and some indirectly. If researchers could clarify the extent to which specific human activities affect global ecosystems, they would be in a much better position to suggest strategies for mitigating against the worst disturbances. Sophisticated statistical analysis can help in interpreting the influence of specific human activities on global ecosystems more carefully. This study aims at identifying significant or influential human activities (i.e. factors) on CO₂ emissions using statistical analyses. The study was conducted for two cases: (i) developed countries and (ii) developing countries. In developed countries, this study identified three influential human activities for CO₂ emissions: (i) combustion of fossil fuels, (ii) population pressure on natural and terrestrial ecosystems, and (iii) land use change. In developing countries, the significant human activities causing an upsurge of CO₂ emissions are: (i) combustion of fossil fuels, (ii) terrestrial ecosystem strength and (iii) land use change. Among these factors, combustion of fossil fuels is the most influential human activity for CO₂ emissions both in developed and developing countries. Regression analysis based on the factor scores indicated that combustion of fossil fuels has significant positive influence on CO₂ emissions in both developed and developing countries. Terrestrial ecosystem strength has a significant negative influence on CO₂ emissions. Land use change and CO₂ emissions are positively related, although regression analysis showed that the influence of land use change on CO₂ emissions was still insignificant. It is anticipated, from the findings of this study, that CO₂ emissions can be reduced by reducing fossil-fuel consumption and switching to alternative energy sources, preserving exiting forests, planting trees on abandoned and degraded forest lands, or by planting trees by social/agroforestry on agricultural lands.