Supercritical Fluid Extraction for Forensic Analysis of Hydrocarbons in Soil

Supercritical fluid extraction (SFE) was investigated to evaluate its potential for obtaining high quality chromatographic fingerprints from soils encountered in environmental investigations. While the volatile and semivolatile fractions of light nonaqueous phase liquid (LNAPL) samples can be “fingerprinted” in a single chromatographic run, it is commonly not possible to obtain samples of LNAPL in the locations of interest. For this and other reasons, it was desirable to develop this method (SFE) of soil extraction, which allows chromatographic fingerprinting of the same quality routinely obtained with LNAPL so that environmental forensic investigations could be extended to areas beyond those containing LNAPL in monitoring wells. In this study, SFE was compared to conventional dichloromethane extraction. Both artificially spiked soil and soil from petroleum release sites were tested. Since water can be a problem when using the SFE method, particular attention was given to handling soils with high moisture contents. The SFE extracts showed excellent retention of low molecular components, including pentanes. Gas chromatography of SFE extracts yielded molecular distributions that showed no significant bias toward either low or high molecular weight components. These results show that SFE can be used to obtain an unbiased, single-run chromatographic “fingerprint” of both volatile and semivolatile hydrocarbons in contaminated soil samples.     

An integrated EDIB model for probabilistic risk analysis of natural gas pipeline leakage accidents

Natural gas pipeline construction is developing rapidly worldwide to meet the needs of international and domestic energy transportation. Meanwhile, leakage accidents occur to natural gas pipelines frequently due to mechanical failure, personal operation errors, etc., and induce huge economic property loss, environmental damages, and even casualties. However, few models have been developed to describe the evolution process of natural gas pipeline leakage accidents (NGPLA) and assess their corresponding consequences and influencing factors quantitatively. Therefore, this study aims to propose a comprehensive risk analysis model, named EDIB (ET-DEMATEL-ISM-BN) model, which can be employed to analyze the accident evolution process of NGPLA and conduct probabilistic risk assessments of NGPLA with the consideration of multiple influencing factors. In the proposed integrated model, event tree analysis (ET) is employed to analyze the evolution process of NGPLA before the influencing factors of accident evolution can be identified with the help of accident reports. Then, the combination of DEMATEL (Decision-making Trial and Evaluation Laboratory) and ISM (Interpretative Structural Modeling) is used to determine the relationship among accident evolution events of NGPLA and obtain a hierarchical network, which can be employed to support the construction of a Bayesian network (BN) model. The prior conditional probabilities of the BN model were determined based on the data analysis of 773 accident reports or expert judgment with the help of the Dempster-Shafer evidence theory. Finally, the developed BN model was used to conduct accident evolution scenario analysis and influencing factor sensitivity analysis with respect to secondary accidents (fire, vapor cloud explosion, and asphyxia or poisoning). The results show that ignition is the most critical influencing factor leading to secondary accidents. The occurrence time and occurrence location of NGPLA mainly affect the efficiency of emergency response and further influence the accident consequence. Meanwhile, the weight ranking of economic loss, environmental influence, and casualties on social influence is determined with respect to NGPLAs.     

Dynamic-risk-informed safety barrier management: An application to cost-effective barrier optimization based on data from multiple sources

An integrated approach for performance assessment and management of safety barriers in a systemic manner is needed concerning the prevention and mitigation of major accidents in chemical process industries. Particularly, the effects of safety barriers on system risk reduction should be assessed in a dynamic manner to support the decision-making on safety barrier establishments and improvements. A simulation approach, named Simulink-based Safety Barrier Modeling (SSBM), is proposed in this paper to conduct dynamic risk assessment of chemical facilities with the consideration of the degradation of safety barriers. The main functional features of the SSBM include i) the basic model structures of SSBM can be determined based on bow-tie diagrams, ii) multiple data (periodic proof test data, continuous condition-monitoring data, and accident precursor data) may be combined to update barrier failure probabilities and initiating event probabilities, iii) SSBM is able to handle uncertainty propagation in probabilistic risk assessment by using Monte Carlo simulations, and iv) cost-effectiveness analysis (CEA) and optimization algorithms are integrated to support the decision-making on safety barrier establishments and improvements. An illustrative case study is demonstrated to show the procedures of applying the SSBM on dynamic risk-informed safety barrier management and validate the feasibility of implementing the SSBM for cost-effective safety barrier optimization.     

爆炸超压场景下危化品社会风险对允许规划人口密度的影响分析*

为研究危化品重大危险源基于社会风险基准的规划管控影响,采用我国标准规定的定量风险评价方法,TNT当量炸药简化方法,针对最大TNT当量炸药、事故发生总累计频率、人口密度分布控制参数等不同工况条件,对比分析国土开发强度的允许人口密度受社会风险约束影响的变化规律。研究结果表明:人口密度指数分布控制参数Nk与Nb的允许取值随最大TNT当量炸药和事故发生总累计频率降低而提高;确定工况下,允许总人口规模受最大TNT当量炸药影响很小;在最大TNT当量炸药大于100 t或事故发生总累计频率小于1×10-8次/a时可按最大事故场景进行规划控制分析。     

深埋水平岩层隧道开挖稳定性分析及控制*

针对深埋高地应力水平岩层掌子面开挖稳定性及支护结构失效问题,以大峡谷隧道为工程背景,通过现场测试、室内试验、数值模拟等方法,探究深埋高地应力水平岩层失稳机理及控制措施。研究结果表明:坚硬岩体被节理面切割后,在高地应力作用下容易发生挤压破碎,破碎岩体遇水发生软化,导致掌子面发生大范围塌方,初支和超前支护失效;隧道开挖后岩层发生不均匀沉降,浅部岩层最先发生弯折破坏,层内块体错动滑移,继而向上方岩层发展,并伴随层间分离和层内裂隙发育,最终形成宏观破裂面;提出的台阶法、2 m开挖进尺、砼喷层、双层小导管、提高初支强度的整体优化控制措施,可有效提高现场支护效果。     

基于Logistic回归的燃气管网风险因素重要度分析方法研究

为确定燃气管网风险评估的关键风险因素,以A省各地市燃气管网为研究对象,基于燃气专家经验确定燃气管线风险等级,提出基于Logistic回归的燃气管网风险因素重要度分析方法。采用样本增强及随机抽样的方式,选取400个均衡样本作为管网评估数据输入,通过因子分析方法对其进行降维,得到3个公共因子并作为一级指标反向构建燃气管网风险评估指标体系;利用有序多分类Logistic回归方法,根据回归系数绝对值大小对风险因素进行重要度排序。研究结果表明：外界环境对燃气管网风险的贡献程度相对较高,管道自身因素和巡检养护次之。研究结果可为城市燃气风险防控提供理论依据和方法参考。     

跨座式单轨交通人身安全雷电防护分析

针对跨座式单轨交通列车遭受雷击时列车内的人员安全性,本文通过对列车内人员不接触与列车金属外壳直接连接的金属构件和接触与列车金属外壳直接连接的金属构件两种情况进行计算分析,得出第一种情况下,人员是完全安全的;第二种情况下,人员可能会有像蜜蜂刺痛或烟头灼痛的感觉,但不威胁生命安全。     

基于OAT-GIS技术的地下水污染风险评估指标权重敏感性分析

权重赋值准确性是地下水污染风险评估结论可靠性的重要基础,分析并量化指标权重敏感性是验证权重赋值准确性的难点。以我国37个危险废物填埋场为研究对象,基于构建的填埋场地下水污染风险排序指标体系,利用多准则决策分析模型（MCDA）中的层次分析（AHP）模块对各指标进行权重赋值;利用计算所得的权重最小变化量,基于OAT（one-factor-at-a-time）方法,应用MCDA的权重敏感性分析模块对14项指标权重进行依次改变,得出14项指标的权重敏感性大小;分析指标权重赋值过程中的不确定性,并基于地理信息系统（GIS）平台,开展可视化的空间数据统计与分析。结果表明：我国37个危险废物填埋场地下水污染风险评估的14项指标中,使用年限、渗滤液量和地形坡度3项指标权重改变后,填埋场地下水污染风险排序变化最大,即这3项指标权重敏感性最高;而包气带渗透性系数指标权重改变导致的风险排序变化最小,说明其权重敏感性最低。该方法可以有效地分析、验证指标权重赋值的准确性,识别权重赋值的不确定性,帮助相关决策者有针对性地进行风险管理。     

武烈河流域水质污染特征及污染源解析

以武烈河流域2014年1—12月23项指标的监测数据为基础,采用单因子评价法和水质综合指数评价法,对水质污染特征进行综合评价;运用主成分分析法,确定流域主要污染因子及区域水质空间变化特征,并进一步对流域污染来源进行解析。结果表明：武烈河流域上游支流水质为Ⅱ类,干流段监测断面S1与S3水质为Ⅲ类,S2与S4水质为Ⅳ类,主要污染指标为BOD₅与TP;流域水质由2个主成分组成,COD_Cr、COD_Mn为第一主成分,NH₃-N、DO与BOD₅为第二主成分;流域主要污染源包括生活污水、工业废水、农业化肥和农药的投入和畜禽养殖废水等。     

2008年黑龙江省环境状况及发展趋势分析

黑龙江省生态环境状况良好,野生动植物栖息和生长的环境逐步改善。主要污染物化学需氧量和二氧化硫排放量继续呈下降趋势。城市空气质量良好,处于全国中上游水平,城市噪声污染较轻。松花江水质稳中趋好,为轻度污染,部分支流水质明显改善,出境水质达标的频率大幅增加。