天然气供气业务风险分析与应急预案设计

近年来,天然气消费量迅速增长,天然气领域的投入和天然气储量、产量和贸易量也呈迅速增长态势,并显示出增长的巨大潜力。天然气市场需求量的大幅度增加与国内天然气供给不足造成的供需不平衡,给天然气供气业务带来了极大的挑战。本文根据近两年来天然气供应面临的危机,分别对天然气供气产业链的上、中、下游的突发事件风险进行分析;并针对供气业务中断带来的风险,从突发事件分级、应急处置流程等两个关键要素着手对应急预案进行优化。该研究对完善天然气供气突发事件应急预案、有效快速应对突发事件提供了参考和指导。     

Multibody model of the human upper extremity for fracture simulation

About 3.8 million people are injured in accidents at work in Europe every year. The resulting high costs are incurred by the victims themselves, their families, employers and society. We have used a numerical simulation to reconstruct accidents at work for several years. To reconstruct these accidents MADYMO R7.5 with a numerical human model (pedestrian model) is used. However, this model is dedicated to the analysis of car-to-pedestrian accidents and thus cannot be fully used for reconstructing accidents at work. Therefore, we started working on the development of a numerical model of the human body for the purpose of simulating accidents at work. Developing a new numerical model which gives an opportunity to simulate fractures of the upper extremity bones is a stage of that work.     

Traffic accident reconstruction and an approach for prediction of fault rates using artificial neural networks: A case study in Turkey

Objective: Currently, in Turkey, fault rates in traffic accidents are determined according to the initiative of accident experts (no speed analyses of vehicles just considering accident type) and there are no specific quantitative instructions on fault rates related to procession of accidents which just represents the type of collision (side impact, head to head, rear end, etc.) in No. 2918 Turkish Highway Traffic Act (THTA 1983). The aim of this study is to introduce a scientific and systematic approach for determination of fault rates in most frequent property damage–only (PDO) traffic accidents in Turkey.

Methods: In this study, data (police reports, skid marks, deformation, crush depth, etc.) collected from the most frequent and controversial accident types (4 sample vehicle–vehicle scenarios) that consist of PDO were inserted into a reconstruction software called vCrash. Sample real-world scenarios were simulated on the software to generate different vehicle deformations that also correspond to energy-equivalent speed data just before the crash. These values were used to train a multilayer feedforward artificial neural network (MFANN), function fitting neural network (FITNET, a specialized version of MFANN), and generalized regression neural network (GRNN) models within 10-fold cross-validation to predict fault rates without using software. The performance of the artificial neural network (ANN) prediction models was evaluated using mean square error (MSE) and multiple correlation coefficient (R).

Results: It was shown that the MFANN model performed better for predicting fault rates (i.e., lower MSE and higher R) than FITNET and GRNN models for accident scenarios 1, 2, and 3, whereas FITNET performed the best for scenario 4. The FITNET model showed the second best results for prediction for the first 3 scenarios. Because there is no training phase in GRNN, the GRNN model produced results much faster than MFANN and FITNET models. However, the GRNN model had the worst prediction results. The R values for prediction of fault rates were close to 1 for all folds and scenarios.

Conclusions: This study focuses on exhibiting new aspects and scientific approaches for determining fault rates of involvement in most frequent PDO accidents occurring in Turkey by discussing some deficiencies in THTA and without regard to initiative and/or experience of experts. This study yields judicious decisions to be made especially on forensic investigations and events involving insurance companies. Referring to this approach, injury/fatal and/or pedestrian-related accidents may be analyzed as future work by developing new scientific models.     

基于安全理念的长春市重大危险源控制规划研究

重大危险源控制规划与城市规划紧密结合,不仅是科学建设城市的要求,也是维护社会稳定的要求.通过对长春市现状居住用地布局、工业用地布局、仓储用地布局、燃气工程及加油站等概况及存在的安全隐患进行分析,根据城市规划和管理的需要,从城市的安全功能区划、重大危险源辨识、重大危险源安全规划对象、风险评价、风险控制等方面,提出了长春市重大危险源控制规划编制工作的迫切性及研究内容.将重大危险源的布局结合在城市规划当中,一方面可以使城市规划充分考虑重大危险源的安全问题,另一方面能够从规划层面上减小重大危险源对人民生命财产安全造成的危害.     

基于CREP的国家环境质量改善工程规划与管理:以《大气污染防治行动计划》为例

重大环保工程管理是我国国家环境保护规划制度的重要组成和实施基础。对国家重大环保工程管理的演变和模式特征进行回顾,认为基于CREP的环境质量工程管理模式是适应国家环境质量管理转型的新模式,主要包括环境容量下的削减规模确定、给定削减规模的工程方案设计、基于减排工程的环境质量和健康效果评估、支撑减排和环境质量改善的配套政策等管理模块。最后,以《大气污染防治行动计划》为例,证明了基于CREP的环境质量工程管理模式的可行性和有效性。     

基于LCA的污水处理厂提标改造环境影响负荷研究

研究旨在评价污水处理厂提标改造工程前后的环境影响,并做出科学的管理决策。以呼和浩特市公主府污水处理厂为例,采用生命周期评价(LCA)的方法,定量研究了污水处理厂改造前后的环境影响负荷,识别和判断出环境影响负荷的变化量。结果表明:该污水处理厂经过改造之后的环境负荷大于改造之前,相比改造前增长约63.5%,其中水质和水体富营养化影响潜能明显减小,而不可再生资源消耗、全球变暖影响潜能的增加量较大,环境负荷增加的根本原因在于电耗的增加。最后根据评价结果提出针对污水处理厂提标改造工程的改善建议。     

战略环境影响评价的发展与应用

本文介绍了SEA的发展背景，现有项目EIA在PPPs决策层次上的缺陷和可持续发展理论如何导致SEA的发展，新发展的SEA比较传统的项目EIA所具有的优点，以及当前对SEA的认识和理解，在实践中所采用的形式，和成功的SEA必具备的特征，同时对在当前形势下SEA的实践方式进行了一定的评价，发现SEA的增值效应是SEA实施的先决条件。     

混沌理论在水质预测中的应用初探

基于混沌理论、相空间重构思想和嵌入理论分析涟水流域溶解氧的时间序列,计算吸引子维数和最大的Lyapunov指数,研究河流水质系统的复杂性特征。结果表明,河流水质时间序列具有混沌特性,其外在表现为貌似随机的无规则特点;但系统本身内在的、固有的规律(表现在最大的Lyapunov指数),表明短期预测河流水质变化是可行的,并应用混沌相空间模线性回归模型进行了短期预测,其预测结果对涟水流域的水质管理和控制具有一定的参考价值。     

大型铁路客运站大客流预警及应对方案设计 ——以北京西站为例

铁路客运站作为旅客集散地,出入站客流量会因为节假日、大规模列车晚点或停运等突发事件出现大规模聚集。当车站出现高密度客流时,若未能及时采取有效的应对措施,极易出现踩踏等事故。为应对车站大客流情况,首先制定了黄、橙、红三级预警机制。其中黄、橙预警用于应对车站高密度客流情况,而红色等级预警则用于应对短时间内车站需迅速疏散客流的紧急情形和大量客流长时间无法乘车离开的情形。最后重点研究了基于不同等级预警的应对方案。所提出的大型客运站大客流预警与应对方案实际应用于北京西站,经过多次春运和暑运检测,起到了良好的效果。     

某化工厂离子膜烧碱工程危险因素辨识与应急预案

分析并指出了湖北某化工厂离子膜烧碱工程项目生产过程中可能出现的危险有害因素．在此基础上提出了编制应急预案的具体内容。