生化法处理煤气废水

采用Ａ／Ｏ工艺处理煤气废水的研究结果表明,该工艺能同时去除煤气废水中的有机物和氨氮,在试验确定的条件下,该工艺对煤气废水中的ＣＯＤｃｒ去除率达９１．０％,ＢＯＤ５去除率达９９．１％,ＮＨ３－Ｎ去除率达９９．２％,ＴＮ去除率达９４．７％。     

A2O工艺中雌激素的行为变化和去除机理

研究了厌氧-缺氧-好氧(A2O)活性污泥工艺对生活污水中天然雌激素雌酮(Estrone,E1)、17β-雌二醇(17β-Estradiol,E2)以及17α-乙炔基雌二醇(17α-Ethynylestradiol,EE2)的去除性能。在对COD、N和P具有良好去除效果的前提下,对E1、E2和EE2的去除率可分别达到92.7%、100%和62.7%。通过对各反应单元内3种雌激素的物料平衡分析,表明A2O工艺对雌激素的去除主要发生在厌氧段和好氧段。以失活污泥作为对照组,好氧硝化过程中雌激素去除的小试实验发现,好氧过程中E1、E2的去除主要依靠生物降解作用,而EE2的去除则主要依赖于活性污泥对其的吸附作用。     

不同流量分配比对多级A/O工艺去除有机物及脱氮的影响

采用三级A/O工艺分段进水工艺处理低碳源生活污水,考察了进水流量分配比对系统去除有机物、硝化反硝化能力以及去除TN的影响。通过对水质指标沿程监测结果表明,不同流量分配比(4∶3∶3,5∶3∶2,6∶3∶1)对系统去除有机物及硝化效率影响不大,出水COD、氨氮分别均在30 mg/L、1 mg/L以下。但反硝化效果受流量分配比的影响较大,在流量比为5∶3∶2时,有效利用原水中碳源进行反硝化,反硝化效果最好。在流量比为5∶3∶2的情况下,TN出水为5.7 mg/L去除率为82.9%,优于流量分配比为6∶3∶1和4∶3∶3时的脱氮效果。总体而言,分段进水工艺在对碳源的有效利用及能耗节省方面优于单点进水。     

碳酸氢钠及其固态分解产物对玉米淀粉爆炸抑制实验研究

为研究NaHCO3对玉米淀粉爆炸的抑制效果,采用20 L球形爆炸装置测试玉米淀粉在添加不同抑制比NaHCO3及其固态分解产物Na2 CO3后爆炸参数变化规律,并分析NaHCO3抑制淀粉爆炸过程.结果表明:NaHCO3及Na2 CO3对玉米淀粉爆炸均有抑制作用,NaHCO3抑制效果优于Na2 CO3;混合粉尘的最大爆炸压...     

A~2/O联合臭氧污泥减量技术的改造研究

研究了臭氧化污泥减量技术联合A~2/O、倒置A~2/O与传统A~2/O在出水和污泥产率上的变化。结果表明,臭氧化A~2/O、臭氧化倒置A~2/O的出水与传统A~2/O相比未出现恶化,它们对COD和含氮物质的去除率分别为87.4%,53.7%和93%,66.5%,存在倒置A~2/O对臭氧混合液中有机质及含氮物质的利用率较A~2/O高的可能。试验按每克SS投加0.05 g O_3对A2/O与倒置A~2/O产生的约60%剩余污泥处理时,在短期内未造成出水磷含量的大幅升高,并且出水磷含量受臭氧混合液DO、二沉池底部DO的影响,两系统的污泥产率分别较传统A~2/O降低50%,56%。     

基于火灾场景的大型浮顶储罐区全过程风险防范体系研究

针对大型浮顶罐区火灾事故风险特征,通过对火灾场景辨识及其火灾风险影响因素分析,结合预防初期火灾场景风险要素和消防系统有效性,提出了罐区火灾事故现实风险的评估框架及确定方法。在此基础上,构建了基于火灾场景的全过程风险防范体系,包括库区评估规划、罐体本质安全化设计、库区火灾预防、罐区火灾扑救、园区火灾事故管理等5个方面,并给出相应的对策措施。大型浮顶罐区全过程火灾风险防范是一个持续改进的结构化过程风险管理体系,有助于实现罐区火灾风险的过程安全管理,进而提高仓储型园区的整体消防安全保障能力和风险防控水平。     

煤矿水害风险量化评价方法

为提高煤矿防治水管理水平,预防和消除矿井水害,在层次分析法的基础上建立中性值作为参照对象对矿井水害风险进行实时评判的方法。根据《煤矿防治水细则》建立以矿井水文地质类型、矿井涌水量标准分数、突水预兆、采掘面位置、探水结果为准则层的层次结构模型,并对各评价指标赋权。依据制定的水害风险评价指标的评分细则和监测监控数据并结合其权重得到水害评价总得分。通过总得分与中性参照分数比较得出预测结果:水害评价总得分大于中性参照分数,证明水害的威胁小,分数越高越安全;反之则水害的威胁较大,分数越低越危险,这时需要加强防治水的力度,令评价分数管控大于中性参照分数。这种方法依赖于井下监测监控数据进行量化评价,能实时、客观、全面且准确地反映煤矿水害的风险情况。     

空气污染天气过程与气象要素之间的关联性分析

随着经济和社会的不断发展,地球的环境正在遭受着严重的侵害,关于环境的问题也日益显现出来,比如全球变暖、雾霾等现象。本文分析了空气污染的因素、气象要素对空气质量的影响,并提出了防治空气污染的对策。     

Inherent thermal runaway hazard evaluation method of chemical process based on fire and explosion index

Thermal runaway hazard assessment provides the basis for comparing the hazard levels of different chemical processes. To make an overall evaluation, hazard of materials and reactions should be considered. However, most existing methods didn't take the both into account simultaneously, which may lead the assessment to a deviation from the actual hazard. Therefore, an integrated approach called Inherent Thermal-runaway Hazard Index (ITHI) was developed in this paper. Similar to Dow Fire and Explosion Index(F&EI) function, thermal runaway hazard of chemical process in ITHI was the product of material factor (MF) and risk index (RI) of reaction. MF was an indicator of material thermal hazards, which can be determined by initial reaction temperature and maximum power density. RI, which was the product of probability and severity, indicated the risk of thermal runaway during the reaction stage. Time to maximum rate under adiabatic conditions and criticality classes of scenario were used to indicate the runaway probability of the chemical process. Adiabatic temperature rise and heat of the desired reaction and secondary reaction were used to determine the severity of runaway reaction. Finally, predefined hazard classification criteria was used to classify and interpret the results obtained by this method. Moreover, the method was validated by case studies.     

Misoperation monitoring and early warning during startup and shutdown of petrochemical units

Most petrochemical units run under extreme conditions, such as high temperatures, pressures, and speeds. Consequently, the equipment operators may commit errors because the startup and shutdown processes usually involve complicated operation steps; moreover, the operators may lack experience in handling abnormal situations. Misoperation can lead to accidents, including fires and explosions. Thus, risk analysis for process operations and the development of preventive measures have become an effective means of avoiding misoperation-related accidents. However, it is challenging to ensure the comprehensiveness of risk-analysis results. In this paper, we present a method for misoperation monitoring and early warning in the startup and shutdown processes of petrochemical units. The mechanisms of misoperation occurrence are summarized based on investigations of serious accidents in the recent past. Knowledge regarding the mechanisms of misoperation is crucial for the risk analysis of petrochemical units. The potential risk information, such as causes, adverse consequences, key monitoring parameters, and prevention control solutions, should be acquired and be employed to construct an early-warning knowledge database. Furthermore, misoperation judgment rules need to be formulated to identify misoperations. The data obtained from the monitoring module, misoperation judgment rules, and analysis results can aid in developing schemes to avoid possible abnormal situations. This paper reports a misoperation monitoring and early-warning system for a hydrogenation unit. As demonstrated, conducting risk analysis to determine the potential operational risks and formulating misoperation judgment rules to analyze the process data are essential for enabling early warning. The application of this method will contribute to operational guidance, economic loss reduction, and accident avoidance.