层次分析法在高层学生公寓火灾危险性评价中的应用

分析高层学生公寓的消防安全特点及其火灾发生危害性,评述现有的高层建筑火灾风险评价方法;在现有的评价方法的基础上,从人员因素、建筑物属性、安全疏散设施、报警与灭火系统、防火与防烟系统、建筑物内电气因素和消防安全管理7个方面综合考虑,建立了高层学生公寓的建筑火灾危险评价指标体系;利用层次分析法对高层学生公寓火灾危险性进行分析,确定其评价指标体系中各层次各指标的权重;分析结果表明:消防安全教育与培训是学生公寓火灾危险评价指标体系中最重要的因素。加强和改进高层学生公寓消防安全管理,对预防或减少高层学生公寓火灾具有现实指导价值。     

自动喷水灭火系统喷水强度概率分布特性及其控火性能研究

喷水强度是体现自动喷水灭火系统控火能力的重要参数,具有不均匀性和不确定性.传统的喷水强度设计主要考虑喷头的流量和保护面积,没有考虑其分布特性,对系统控火性能的影响.因此本文将喷水强度分布特性引入自动喷水灭火系统的控火性能研究.以公称口径为15 mm的传统下垂型玻璃球洒水喷头的喷水强度分布实验为基础,建立了包含径向距离和喷头工作压力等参数的喷水强度分布模型,采用蒙特卡罗方法获得了喷水强度的概率分布特性.参照不同危险等级场控火所需的喷水强度参数和不同喷头开启个数下的有效控火百分比,分析了喷水强度概率分布特性对控火性能的影响.研究结果表明,喷水强度概率分布特性对控火性能有重要影响,随径向距离的增加,喷水强度出现较小值的概率增大,控火性能下降,在某些危险较大的场所不能达到控火作用.对于同一危险等级场所,控火性能随着喷头安装间距减小而增强.研究方法可为合理评估喷头适用范围、优化喷头布置提供参考.     

基于正交试验响应面法的烟气层概率分布计算

为计算随机参数下火灾烟气层温度和厚度的概率分布,该文提出了基于正交试验响应面的可靠度计算方法。通过正交试验表确定分析计算参数组,并借助火灾动力学分析软件计算不同参数组下烟气层的温度和厚度响应,进一步拟合出输入参数和输出参数的响应面函数,在此基础上结合验算点法计算烟气层温度和厚度的概率分布,算例分析表明该方法具有计算精度高、计算量小的特点。     

基于模糊影响图方法的库存弹药事故概率分析

针对库存弹药安全的特殊性,在分析国内外库存弹药典型事故案例的基础上,指出FTA、ETA等传统概率计算方法存在的局限。提出一种基于模糊影响图(FID)的库存弹药事故概率分析方法,并对FID模型的构建过程和算法进行概述;以弹药被盗事故作为实例分析,并得到事故概率分布图和累积概率曲线。结果表明,FID的算法理论及建模过程能较好地克服FTA、ETA等传统方法的局限性,实例分析指出弹药被盗事故在10-4数量级的隶属度最高,且事故发生概率更趋向于10-3～10-1数量级,从而得到一旦仓库安全防范措施不到位,就很有可能发生弹药被盗事故的结论。     

关于推行清洁生产有关问题的探讨

阐述了清洁生产是可持续局长战略思想的具体体现,是实现可持续发展战略的必由之路。并提出了推行清洁生产的一些建议和设想。     

Spatial variability of soil heavy metals in the three gorges area: multivariate and geostatistical analyses

There is a growing concern about environmental contamination in the three gorges area. The objectives of this study were to investigate the spatial variability and the possible influence factors of seven heavy metals (As, Cd, Cr, Cu, Hg, Pb, and Zn) in the center of this area based on multivariate and geostatistical approaches. All analyzed heavy metals were below their background levels, except Cd. The average concentrations of the analyzed elements in topsoil (0-20 cm) were 5.83 mg As kg(-1), 0.21 mg Cd kg(-1), 78.79 mg Cr kg(-1), 21.53 mg Cu kg (-1), 0.049 mg Hg kg(-1), 24.12 mg Pb kg(-1), and 68.5 mg Zn kg(-1). The concentration of As was mostly due to parent materials, whereas the source of Pb was mainly due to vehicle exhaust. The high concentration of Cd was resulted from agricultural practices and parent materials. The concentrations of Cr, Cu, Hg, and Zn were associated with parent materials and human activities.     

Exploring the relationship between vegetation spectra and eco-geo-environmental conditions in karst region, Southwest China

Remote sensing of local environmental conditions is not accessible if substrates are covered with vegetation. This study explored the relationship between vegetation spectra and karst eco-geo-environmental conditions. Hyperspectral remote sensing techniques showed that there were significant differences between spectral features of vegetation mainly distributed in karst and non-karst regions, and combination of 1,300- to 2,500-nm reflectance and 400- to 680-nm first-derivative spectra could delineate karst and non-karst vegetation groups. Canonical correspondence analysis (CCA) successfully assessed to what extent the variation of vegetation spectral features can be explained by associated eco-geo-environmental variables, and it was found that soil moisture and calcium carbonate contents had the most significant effects on vegetation spectral features in karst region. Our study indicates that vegetation spectra is tightly linked to eco-geo-environmental conditions and CCA is an effective means of studying the relationship between vegetation spectral features and eco-geo-environmental variables. Employing a combination of spectral and spatial analysis, it is anticipated that hyperspectral imagery can be used in interpreting or mapping eco-geo-environmental conditions covered with vegetation in karst region.     

Application of CMB model for source apportionment of polycyclic aromatic hydrocarbons (PAHs) in coastal surface sediments from Rizhao offshore area, China

Polycyclic aromatic hydrocarbons (PAHs) in coastal surface sediments from Rizhao offshore area were analyzed by gas chromatography–mass spectrometry. A chemical mass balance (CMB) model developed by the U.S. Environmental Protection Agency (EPA), CMB8.2, was used to apportion sources of PAHs. Seven possible sources, including coal residential, coal power plant, diesel engines exhaust, gasoline engines exhaust, coke oven, diesel oil leaks, and wood burning, were chosen as the major contributors for PAHs in coastal surface sediments. To establish the fingerprints of the seven sources, source profiles were collected from literatures. After including degradation factors, the modified model results indicate that diesel oil leaks, diesel engines exhaust, and coal burning were the three major sources of PAHs. The source contributions estimated by the EPA’s CMB8.2 model were 9.25%, 15.05%, and 75.70% for diesel oil leaks, diesel engines exhaust, and coal burning, respectively.     

How should environmental exposure risk be assessed? A comparison of four methods for exposure assessment of air pollutions

Methods commonly used to assess the environmental exposure risk at a location (e.g., proximity models) are usually based on different assumptions, leading to conflicting results and recommendations in epidemiological studies. In this case study, a comparative evaluation of the accuracy levels associated with four commonly used exposure risk estimate models [i.e., traditional proximity model (TPM), emission weighted proximity model (EWPM), the American Meteorological Society/EPA regulatory model (AERMOD), and ordinary kriging interpolation (OKI)] were conducted. Results show that at the annual and the monthly scales, the normalized exposure risk values simulated by AERMOD and EWPM have higher accuracy levels than the simulations from the TPM and OKI methods. However, AERMOD has higher accuracy than that of the EWPM, and this was attributed to the differences of input data. EWPM provided the most accurate simulations when analysts have access to only point emission source data. The results also indicate that the accuracies of the exposure risks simulated by AERMOD and EWPM can be influenced by factors such as the modeling extent, the distance settings, and so forth.     

Environmental performance evaluation and strategy management using balanced scorecard

Recently, environmental protection and regulations such as WEEE, ELV, and RoHS are rapidly emerging as an important issue for business to consider. The trend of swinging from end-of-pipe control to product design, green innovation, and even the establishment of image or brand has affected corporations in almost every corner in the world, and enlarged to the all modern global production network. Corporations must take proactive environmental strategies to response the challenges. This study adopts balanced scorecard structure and aim at automobile industries to understand the relationships of internal and external, financial and non-financial, and outcome and driving factors. Further relying on these relationships to draw the “map of environment strategy” to probe and understand the feasibility of environmental performance evaluation and environmental strategy control.