基于层次分析-模糊综合评判的化工园区安全评价研究

应用模糊数学理论,把模糊综合评价方法具体应用到化学工业园区安全综合评价研究中,结合化工园区的实际情况,建立了化工园区的安全现状综合评价指标体系,采用定性与定量相结合的层次分析法计算评价因素的权重,运用模糊综合评判理论,提出安全现状二级模糊综合评价方法,实现对化工园区安全等级的综合评判。应用该方法对某化工园区的安全现状进行了综合评价,得出其安全等级为"一般"。实例表明:模糊综合评价方法可操作性强、效果较好,可在化工园区的安全综合评价中广泛应用。     

安全 化工园区发展的保障

<正>随着经济的不断发展,在工业生产规模化、大型化的趋势下,石油、化工产业开始集聚发展,因此,国内外出现了把石油化工企业集中布置而形成的化学工业园区。我国建设化学工业园区的步伐也在加快。化工园区作为一种能源循环利     

南京化工园区开展氯气泄漏事故应急演练

2014年6月27日,南京化学工业园区在南京金浦锦湖化工有限公司开展氯气泄漏事故应急演练。 上午10时,演练现场南京金浦锦湖化工有限公司液氯罐区,因为液氯进料口阀门下法兰腐蚀,突然造成氯气大量泄漏。该公司立即采取应急措施,并向化工园区应急响应中心报警,清求社会力量支援。很快,园区危险化学品重特大事故应急预案迅速启动,     

化学工业园区重大环境风险源监控技术研究与应用

基于监控系统综合集成的思想,以重大环境污染事件风险源监控技术规范、重大危险源控制规章、污染源在线监测为基础,从监控指标体系、监控布点范围及监控技术筛选三方面建立化学工业园区中重大环境风险源监控技术体系. 结果表明:重大环境风险源监控指标体系主要从企业内部及企业周边敏感受体两方面进行构建;监控范围从重大环境风险源本体、缓冲区及环境敏感受体三方面确定;监控技术筛选时考虑了环境风险源的状态、监控技术方法的实用性和环境风险源/受体属性. 以上海闵行区化学工业园区为例,经调研统计,该化学工业园区共有重大风险源87个,其中罐区60个、排放口12个,其余分散在库房、生产场所等处. 根据化学工业园区企业内部风险设施及周围敏感受体的监控指标、监控范围及常用监控技术,制定了以罐区、排放口的特征风险物质为指标,以储罐的温度、压力、图像视频、液位及排放口特征风险物质浓度的传感器监控技术为主的监控方案.      

化学工业园区重大事故场外应急预案编制技术研究

阐述化学工业园区重大事故场外应急预案编制的技术路线;把编制过程分为调查评估、制度设计、预案编写3阶段,其中调查评估是基础,制度设计是关键;指出危险源辨识、脆弱性分析、应急资源评估、应急组织架构及其职责确定、应急救援运行机制设计等是化学工业园区重大事故场外应急预案编制的工作要点;提出"基本预案+应急功能程序+支持附件"的化学工业园区重大事故场外应急预案结构模式。该编制技术对促进化学工业园区重大事故场外应急预案的科学化、规范化和可操作性具有指导意义。     

化学工业园区消防规划探讨

针对化学工业园区的迅速发展,大型化工生产装置、储存装置日益增多,重大危险源数量不断增加,火灾、爆炸等重特大事故发生的可能性增大的现状,本文在化学工业园区安全规划工作实践的基础上,提出了化学工业园区消防规划的指导思想、原则和程序,确定了化学工业园区消防安全规划的一般内容,以期为化学工业园区消防安全规划的编制提供指导。     

化工园区整体安全性评价模式研究

本文旨在通过对化学工业园区安全性的研究,探求建立一种适合于化学工业园区定性安全评价的模式,重点通过对化学工业园区内企业间的安全相关性的研究使园区在规划、建设阶段达到整体最佳。并在此基础上提出了主要针对园区布局的安全评价方法。     

Environmental pollution by persistent toxic substances and health risk in an industrial area of China

Soil is an important environmental medium that is closely associated with humans and their health. Despite this, very few studies have measured toxicants in soils, and associated them with health risks in humans. An assessment of health effects from exposure to contaminants in soils surrounding industrial areas of chemical production and storage is important. This article aims at determining pollution characteristics of persistent toxic substances (PTS) in an industrial area in China to unravel the relationship between soil pollution by PTS and human health. One hundred and five soil samples were collected and 742 questionnaires were handed out to residents living in and around an industrial area around Bohai Bay, Tianjin in Northern China. Concentrations of organochlorine pesticides and polycyclic aromatic hydrocarbons (PAHs) were determined in soil. Mann-Whitney U and binary multivariate nonconditional logistic regression models were employed to analyze the relationship between health indicators of local residents and contaminant levels. Odds ratio (OR) and a 95% confidence interval (CI) for health incidences were also calculated. The average concentrations of DDT (73.9 ng/g), HCH (654 ng/g) and PAHs (1225 ng/g) were relatively high in the industrial area. Residents living in the chemical industry parks were exposed to a higher levels of PTS than those living outside the chemical industry parks. This exposure was associated with a higher risk of breast cancer (OR 1.87, 95% CI 0.12–30.06), stomach cancer (OR 1.87, 95% CI 0.26– 13.41), dermatitis (OR 1.72, 95% CI 1.05–2.80), gastroenteritis (OR 1.59, 95% CI 0.94–2.68), and pneumonia (OR 1.05, 95% CI 0.58–1.89).     

Application of k-means clustering to environmental risk zoning of the chemical industrial area

The homogeneous risk characteristics within a sub-area and the heterogeneous from one sub-area to another are unclear using existing environmental risk zoning methods. This study presents a new zoning method by determining and categorizing the risk characteristics using the k-means clustering data mining technology. The study constructs indices and develops index quantification models for environmental risk zoning by analyzing the mechanism of environmental risk occurrence. We calculate the source risk index, air risk field index, water risk field index, and target vulnerability of the study area with Nanjing Chemical Industrial Park using a 100 m - 100 m mesh grid as the basic zoning unit, and then use k-means clustering to analyze the environmental risk in the area. We obtain the optimal clustering number with the largest average silhouette coefficient by calculating the average silhouette coefficients of clustering at different k-values. The clustering result with the optimal clustering number is then used for the environmental risk zoning, and the zoning result is mapped using the geographic information system. The study area is divided into five sub-areas. The common environmental risk characteristics within the same sub-area, as well as the differences between sub- areas, are presented. The zoning is helpful in risk management and is convenient for decision makers to distribute limited resources to different sub-areas in the design of risk reducing intervention.     

常熟氟化学工业园水环境和生物样品中全氟化合物的分布

采用Oasis-WAX-SPE柱富集,高效液相色谱/电喷雾负离子源串联质谱(HPLC/negative ESI/MS/MS)对常熟氟化学工业园区地表河水样品和水生动物样品(乙腈萃取物)中的全氟及多氟化合物(PFASs)进行了测定,分别检测出8种和14种PFASs.园区河水中总PFASs浓度范围为91.0—9374.9 ng.L-1,为国内已有报道中最高;PFOA和PFPrA是河水样品中含量最高的两种PFASs,且在不同水样中均可占到总PFASs的73%以上,未检出PFOS;生物样品中总PFASs浓度范围为12.93—394.77 ng.g-1ww(湿重),PFOA、PFOS和PFPrA为主要PFASs;与园区所在城市的鱼类等样品相比较,采自氟化学工业园区的鱼类体内富集了更多的PFAS.研究结果表明,常熟氟化学工业园区地表水环境PFOA和PFPrA污染较重,为目前国内最高水平;在园区河水和生物体内检测出高浓度的PFPrA,说明氟化学工业园区内部分工厂可能已使用短链氟化物替代PFOA和PFOS,在今后的研究中对PFPrA等短链全氟化合物的监测应给予更多关注.