基于快速聚类方法分析常州市区PM2.5的统计特性

运用统计方法研究常州市区2013~2014年6个国控点六项基本污染物(SO_2、NO_2、CO、O_3、PM_(2.5)和PM_(10))月平均浓度变化,结果表明,除O_3外,其它五项污染物月平均浓度夏季较低冬季较高.颗粒物与风速之间的关系为PM_(2.5)浓度随风速的升高一直降低,PM_(10)随风速的升高浓度先降低后升高.采用快速聚类分析(k-means)并运用SWV和DIV指数对六项基本污染物进行分类,得到4个样本分类.与依据颗粒物化学成分或粒径谱对PM进行源解析方法不同,本研究更多是从PM_(2.5)与其它污染物相关关系以及污染程度等角度按照欧式距离进行分类.不同类中PM_(2.5)来源明显不同,类1中PM_(2.5)与化石燃料燃烧排放密切相关,类2与O_3密切相关,类3与城市不完全燃烧排放、区域灰霾污染密切相关,类4可以归类于城市"背景"类.快速聚类分析结果也表明常州市区PM_(2.5)有着复杂的来源.     

Evaluation of accuracy of linear regression models in predicting urban stormwater discharge characteristics

Stormwater runoff has been identified as a source of pollution for the environment, especially for receiving waters. In order to quantify and manage the impacts of stormwater runoff on the environment, predictive models and mathematical models have been developed. Predictive tools such as regression models have been widely used to predict stormwater discharge characteristics. Storm event characteristics, such as antecedent dry days （ADD）, have been related to response variables, such as pollutant loads and concentrations. However it has been a controversial issue among many studies to consider ADD as an important variable in predicting stormwater discharge characteristics. In this study, we examined the accuracy of general linear regression models in predicting discharge characteristics of roadway runoff. A total of 17 storm events were monitored in two highway segments, located in Gwangju, Korea. Data from the monitoring were used to calibrate United States Environmental Protection Agency＇s Storm Water Management Model （SWMM）. The calibrated SWMM was simulated for 55 storm events, and the results of total suspended solid （TSS） discharge loads and event mean concentrations （EMC） were extracted. From these data, linear regression models were developed. R2 and p-values of the regression of ADD for both TSS loads and EMCs were investigated. Results showed that pollutant loads were better predicted than pollutant EMC in the multiple regression models. Regression may not provide the true effect of site-specific characteristics, due to uncertainty in the data.     

Effect of a high strength chemical industry wastewater on microbial community dynamics and mesophilic methane generation

A high strength chemical industry wastewater was assessed for its impact on anaerobic microbial com- munity dynamics and consequently mesophilic methane generation. Cumulative methane production was 251 mL/g total chemical oxygen demand removed at standard temperature and pressure at the end of 30 days experimental period with a highest recorded methane percentage of 80.6% of total biogas volume. Volatile fatty acids （VFAs） analysis revealed that acetic acid was the major intermediate VFAs produced with propionic acid accumulating over the experimental period. Quantitative analysis of microbial communities in the test and control groups with quantitative real time polymerase chain reaction highlighted that in the test group, Eubacteria （96.3%） was dominant in comparison with methanogens （3.7%）. The latter were dominated by Methanomicrobiales and Methanobacteriales while in test groups increased over the experimental period, reaching a maximum on day 30. Denaturing gradient gel electrophoresis profile was performed, targeting the 16S rRNA gene of Eubacteria and Archaea, with the DNA samples extracted at 3 different time points from the test groups. A phylogenetic tree was constructed for the sequences using the neighborhood joining method. The analysis revealed that the presence of organisms resembling Syntrophomonadaceae could have contributed to increased production of acetic and propionic acid intermediates while decrease of organisms resembling Pelotomaculum sp. could have most likely contributed to accumulation of propionic acid. This study suggested that the degradation of organic components within the high strength industrial wastewater is closely linked with the activity of certain niche microbial communities within eubacteria and methanogens.     

储油罐区防火堤受力情况分析

利用ANSYS有限元分析软件,对防火堤受液态物质冲击时受力状况进行模拟,并对防火堤在冲击载荷下的受力情况进行了分析,指出防火堤在事故状态下的脆弱部分,对油库的安全设计、评价和日常维护具有参考价值。     

危化品企业安全生产标准化与其他管理体系的对比研究

分析了安全生产标准化与其他管理体系的关系,并结合当前推进安全生产标准化工作的具体要求,阐述了安全生产标准化的作用。     

油田联合站安全性评价模式研究

针对联合站生产过程复杂、安全影响因素多的特点,提出了二级模糊综合安全评价方法。以港东联合站的实际情况为基础,在系统分析联合站危险因素的基础上,选取储罐、管道、监控系统、其他系统4个因素作为联合站安全评价的主要关联因子,构建了针对港东联合站安全的二级综合模糊评估模型。运用层次分析法确定不同层次和因素的重要度,以加权法为运算准则,确定了联合站的安全等级。评估结果表明:该二级模糊综合评价方法提高了联合站安全现状评价的客观性,评估过程易于实现,评价结果更加客观、合理。     

海上移动式平台安全信息预警与保护装置研制

介绍了一种基于海洋移动式平台应用的安全信息预警与保护装置的研制,实现具有移动式平台海上安全信息采集、记录、预警、保护及再现等功能。     

基于大型乙烯成套装置工艺安全的变更管理

介绍了工艺安全变更管理的概念及相关标准法规,结合国内变更管理的现状,提出了大型乙烯成套装置工艺安全变更管理建议。     

基于兵棋推演理论的城市危机应急管理体系设计

随着经济的发展、城市化进程的加快,城市危机的危害程度日益加剧。基于我国城市危机应急管理总存在的不足,提出将兵棋推演运用到城市危机应急管理中,结合兵棋推演技术、地理信息系统、现代计算机技术和信息技术。提出了一套城市危机应急管理体系框架,并讨论了该系统与城市公共安全体制的融合机制问题。该系统汇集中外危机处置案例,实现动态推演,弥补以往剧本式的应急演练的缺欠,为提高城市危机应急调度指挥的快速性、准确性和科学性,有效整合现有应急救援力量和资源提供了有效的辅助手段,为提升城市危机应急管理决策水平和综合能力提供参考。     

DGGE及T-RFLP分析光照下电位对细菌群落的影响

电位和光照能影响生物电化学系统中产电光合微生物的富集和生长,为了明确电位对细菌多样性的影响,采用变性梯度凝胶电泳(denaturing gradient gel electrophoresis,DGGE)和末端限制性片段长度多态性(terminal restriction fragment length polymorphism,T-RFLP)两种方法分析光照条件下电位对电极生物膜细菌群落多样性的影响,实验设置0、0.2、0.4、0.6 V(vs.Ag/AgCl)4个电位.结果表明,0.6 V(vs.Ag/AgCl)下电极生物膜细菌DGGE条带数量较其他处理明显降低,对条带的测序结果显示不同电位下电极生物膜细菌主要属于α-变形菌纲(α-Proteobacteria)、β-变形菌纲(β-Proteobacteria)和梭菌纲(Clostridia).而0.2 V(vs.Ag/AgCl)处理下末端限制性片段(terminal restriction fragment,T-RF)的数量最高,片段数量随电压进一步升高呈现降低趋势.虽然DGGE和T-RFLP两种方法分析结果有一定差异,但都能反映电位对电极生物膜细菌群落多样性影响显著,高电位降低了细菌多样性.