煤矿安全预评价的未确知测度模型及应用

矿井自然灾害的安全预评价涉及不确定因素众多.本文根据未确知数学理论,建立了预评价指标体系、置信度识别准则及评分准则,构造了矿井安全预评价未确知测度模型,并对矿井的各个安全指标进行了定量分析.用上述方法对黄陵二号井自然灾害的评定结果与实际耦合较好,从而为煤矿建设项目的安全预评价开辟了一条新途径.     

黄河积石峡水电站库区泥石流危险度评价

在选取一次(可能)最大冲出物方量、泥石流发生频率、流域面积、主沟长度、流域相对高差、流域切割密度、泥沙补给段长度比7个因子为泥石流沟谷危险度划分的主要因子的基础上,对评价因子隶属度的确定作了分析和阐述,并运用模糊综合评判法对黄河上游积石峡水电站库区16条泥石流沟进行了危险度划分.     

陕西佛坪、宁陕"6.9"山地自然灾害考察研究

2002年6月9日,陕西南部佛坪、宁陕等地因特大暴雨引发了极其强烈的泥石流、山洪等山地自然灾害.本文考察研究了这次泥石流、山洪等山地自然灾害产生的条件,分布与活动特点以及未来发展变化的趋势.     

SARS与灾变心理初探

本文初步讨论了SARS发生前、发生时和发生后,社会个体和社会群体的不同心理变化过程,以及各种不同心理活动产生的原因,希冀能从中找出人们在灾变面前的特殊心理过程,为政府的防灾救灾和正确决策提供服务.     

略阳电厂后部山体边坡的稳定性评价与初步治理设计

在对略阳电厂后部山体地质条件分析的基础上,采用定性分析与定量数值计算相结合的方法评价了电厂后部山体在开挖前后的稳定性问题,并对开挖后的坡体提出了相应的工程治理措施.     

利用信息扩散模式对安徽及华东地区地震的风险分析

本文利用信息扩散模式,分别从年地震频次和年最大震级两个方面对安徽及华东地区的地震风险进行评估.结果显示:安徽地区ML≥3.0地震,年频次4次以上,约两年一遇;年发生ML≥3.9地震,则3年可能遇一次.而华东地区ML≥4.0地震,年频次4次以上,大约3年一遇;年发生ML≥4.9的地震,则可能2年遇一次.     

旅游灾害事件成灾模型的建立及解析

在我国旅游业蓬勃发展的今天,旅游灾害事件频发已引起了相关部门的高度重视和全社会的关注.根据灾害学原理和对旅游灾害事件成灾机制的研究,建立旅游灾害事件成灾模型,将在成功防范和减轻旅游灾害事件的损失方面发挥巨大作用.该模型主要就旅游灾害事件的基础条件、旅游灾害的诱发因素、旅游灾害的承灾体、旅游灾害损失类型、以及防灾减灾有效措施等方面的问题进行了分析和探讨.     

陕西石泉ML4.9级地震建筑物震害分析

2003年4月24日陕西省石泉县红卫乡一带发生ML4.9级地震.这次地震对石泉、汉阴等县建筑物特别是农村建筑物造成一定程度的破坏,本文统计了不同类型的房屋建筑破坏情况,并对此进行了分析和探讨.     

End‐state land uses,sustainably protective systems,and risk management: A challenge for remediation and multigenerational stewardship

This article discusses creating a sustainably protective engineered and human management system in perpetuity for sites with long‐lived radiological and chemical hazards. This is essential at this time because the federal government is evaluating its property as assets and attempting to reduce its holdings, while seeking to assure that health and ecosystems are not put at risk. To assist those who have a stake in the remediation, management, and stewardship of these and analogous privately owned sites, this article discusses current end‐state planning by reviewing the federal government's accelerated efforts to reduce its footprint and how those efforts relate to sustainability. The article also provides a list of questions organized around six elements of risk management and primary, secondary, and tertiary disease and injury prevention. Throughout the article, the U.S. Department of Energy (DOE) is used as an example of an organization that seeks to reduce its footprint, manage its budget, and be a steward of the sites that it is responsible for. However, the approach and questions are appropriate for land controlled by the Department of Defense (DOD), the General Services Administration (GSA), and other public and private owners of sites with residual contamination. © 2005 Wiley Periodicals, Inc.     

Removal of selenate from water by zerovalent iron

Zerovalent iron (ZVI) has been widely used in the removal of environmental contaminants from water. In this study, ZVI was used to remove selenate [Se(VI)] at a level of 1000 microg L(-1) in the presence of varying concentrations of Cl-, SO(2-)4, NO(-)3, HCO(-)3, and PO(3-)4. Results showed that Se(VI) was rapidly removed during the corrosion of ZVI to iron oxyhydroxides (Fe(OH)). During the 16 h of the experiments, 100 and 56% of the added Se(VI) was removed in 10 mM Cl- and SO(2-)4 solutions under a closed contained system, respectively. Under an open condition, 100 and 93% of the added Se(VI) were removed in the Cl- and SO(2-)4 solutions, respectively. Analysis of Se species in ZVI-Fe(OH) revealed that selenite [Se(IV)] and nonextractable Se increased during the first 2 to 4 h of reaction, with a decrease of Se(VI) in the Cl- experiment and no detection of Se(VI) in the SO(2-)4 experiment. Two mechanisms can be attributed to the rapid removal of Se(VI) from the solutions. One is the reduction of Se(VI) to Se(IV), followed by rapid adsorption of Se(IV) to Fe(OH). The other is the adsorption of Se(VI) directly to Fe(OH), followed by its reduction to Se(IV). The results also show that there was little effect on Se(VI) removal in the presence of Cl- (5, 50, and 100 mM), NO(-)3 (1, 5, and 10 mM), SO(2-)4 (5 mM), HCO(-)3 (1 and 5 mM), or PO(3-)4 (1 mM) and only a slight effect in the presence of SO(2-)4 (50 and 100 mM), HCO(-)3 (10 mM), and PO(3-)4 (5 mM) during a 2-d experiment, whereas 10 mM PO(3-)4 significantly inhibited Se(VI) removal. This work suggests that ZVI may be an effective agent to remove Se from Se-contaminated agricultural drainage water.