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.     

四川汶川茶园沟泥石流灾害特征及危险度评价

2003年8月9日四川汶川县茶园沟泥石流造成了1人死亡,10人失踪和严重的财产损失.泥石流是由于短历时高强度的大雨激发而形成的.泥石流最大流速为10.8m/s,泥石流洪峰流量为999m3/s,冲出物方量约为5万m3.茶园沟流域内松散固体物质的密度为2.18 g/cm3,含水量为10.7%,空隙率为28%,塑性界限和流性界限分别为18.8%和32.5%,一遇大雨或较长时间的降雨就极易形成泥石流.茶园沟属中度危险的泥石流沟,中度危险的泥石流也造成了严重的人民生命财产的损失,这主要是由于受灾对象,即易损性的特性所决定的.茶园沟泥石流的防灾减灾措施,一是要实行封山育林,停止开矿弃渣;二是要提高公路桥梁的防洪标准,合理布局水利水电设施.     

可移动危险源动态安全监控的探索与展望

简述近年来可移动危险源的严重事故及惨痛教训,究其重要原因之一就是缺乏对可移动危险源的动态安全监控,指出开展可移动危险源动态安全监控的迫切性;从而对建立可移动危险源动态安全监控体系的指导思想与功能设计进行了比较深入的探索,利用全球移动通信系统(GSM),全球定位系统(GPS),地理信息系统(GIS)和计算机网络技术相结合,对可移动危险源实施动态安全监控,以实现对其严重事故的有效控制,并对完善可移动危险源动态安全监控体系作了进一步的展望。     

对重大危险源安全预警系统的探讨

阐述了安全预警技术和重大危险源安全预警系统的建立.重大危险源安全预警系统的建立,将对实现重大危险源安全监察工作信息化、科学化、现代化起到积极的推动作用.     

重大危险源辨识与监控是企业建立事故应急体系的基础

本文简要介绍了重大工业事故预防控制体系要素和国家法律、法规与政策对企业重大危险源监控与应急体系建设的要求,论述了重大危险源辨识、监控是企业建立事故应急体系和重大事故预防控制体系的基础和前提,对企业重大危险源监控和应急预案编制要求提出了建议.     

选矿拜耳法氧化铝生产过程危害评价与对策

选矿拜耳法生产氧化铝是典型的冶金化工过程,涉及到了多种危险有害因素.本文通过对国内现役选矿拜耳法氧化铝生产装置进行调研,同时结合国内外其他涉及氧化铝生产厂家的情况,分析并指出了生产过程中可能出现的危险有害因素,进而提出了相应对策措施,可为企业消除事故隐患实现安全生产提供保障.     

我国海岸带环境灾害的基本特征与减灾对策

海岸带是自然灾害与社会经济发达区相互重叠的特殊环境地带.我国海岸带环境灾害的基本特征是种类繁多,频次高,破坏性强,与社会经济发展耦合,易形成复杂灾害链等.本文提出了基于可持续发展观点的、以工程建设与生态建设相结合、灾害区划与综合减灾相结合、基础研究与高科技应用相结合的减灾对策.     

县级地质灾害防治管理评价指标体系探讨

通过建立评价指标体系,尽可能定量地评价地质灾害防治管理工作,这是地质灾害防治管理工作科学化、规范化的有益补充.在分析建立县级地质灾害防治工作评价指标体系必要性、可行性的基础上,应用工作分析法和经验总结法征求了指标,运用AHP方法建立了评价指标体系结构,采用专家咨询法确定了权重,提出了一套由16个指标(含40项分指标)构成的较为完整的县级地质灾害防治管理工作评价体系.最后,应用所建立的评价指标体系对部分县进行了评价,验证了评价指标的准确性.     

Mixing hazard evaluation of organic peroxides with other chemicals

Organic peroxides (POs) have been widely used in chemical industries as initiators of polymerization, hardening or bridge formation agents, and they are known for its self-reactive and also mixing hazard characteristics when mixed with other chemicals such as acids and alkalis. It is the purpose of this investigation to propose a simple but useful evaluation flow of mixing hazards of POs with other chemicals using conventional experimental techniques such as a glass test tube test, Dewar vessel test and DSC is proposed. 7 kinds of POs (DEPD, THP, TBEH, TBTC, MEKPO, DTBP, THHP) were mixed with sulfuric acids with various concentration, sodium hydroxide solutions, -iron(III) oxide and acrylonitrile (AN).

Based on the proposed evaluation flow the testing results were classified into 4 ranks due to the hazard criteria. Futhermore DEPD/acrylonitrile mixtures were investigated in more detail and the influences of the mixing ratio and the stirring speed were discussed.     

State of research on the automation of HAZOP studies

For more than 30 years, multiple research groups have worked on the automation of hazard and operability (HAZOP) studies, or more specifically on the hazard identification process. So far, very few of these approaches have been used in the chemical process industry. Automatic hazard identification is a knowledge-intensive process that demands high standards with regard to the way in which knowledge is stored and made available. There are various suitable approaches to the qualitative modeling of processes and plants, which are the foundation for reasoning systems that are used for the identification of hazards. Additionally, there are quantitative methods that are based on process simulations and can be used to identify potential hazards. The investigation of the state of research demonstrates that there are sophisticated technologies for automated systems that include powerful reasoning techniques. The benefits and shortcomings of existing technologies are discussed with regard to their industrial applicability. Often, the quality of the necessary specific and generic knowledge is not sufficient to detect potential hazardous events and operational malfunctions. Computer-aided HAZOP systems should be integrated with computer-aided design- or process simulation software using common data models based on the digital representation of the process plant. In order to be used by HAZOP practitioners automated systems need to be comprehensive, serve as specialized decision support systems, and be tested and evaluated using round robin tests.