Combination with catalyzed Fe(0)-carbon microelectrolysis and activated carbon adsorption for advanced reclaimed water treatment: simultaneous nitrate and biorefractory organics removal

A process combining catalyzed Fe(0)-carbon microelectrolysis (IC-ME) with activated carbon (AC) adsorption was developed for advanced reclaimed water treatment. Simultaneous nitrate reduction and chemical oxygen demand (COD) removal were achieved, and the effects of composite catalyst (CC) addition, AC addition, and initial pH were investigated. The reaction kinetics and reaction mechanisms were calculated and analyzed. The results showed that CC addition could enhance the reduction rate of nitrate and effectively inhibit the production of ammonia. Moreover, AC addition increased the adsorption capacity of biorefractory organic compounds (BROs) and enhanced the degradation of BRO. The reduction of NO₃^?–N at different pH values was consistently greater than 96.9%, and NH₄⁺–N was suppressed by high pH. The presence of CC ensured the reaction rate of IC-ME at high pH. The reaction kinetics orders and constants were calculated. Catalyzed iron scrap (IS)-AC showed much better nitrate reduction and BRO degradation performances than IS-AC and AC. The IC-ME showed great potential for application to nitrate and BRO reduction in reclaimed water.

     

Volatilization characteristics of organic solutes in stirred solution

The effects of turbulence intensity (velocity gradient, G (s⁻¹)), Henry's law constant (H), and molecular weight (M) on the volatilization rates of organic compounds are examined using changes in the mass transfer coefficients (K_OL (cm/min)) under specific liquid-mixing intensities. The selected compounds were divided into three groups according to their H values (mole in gas/mole in liquid, dimensionless), which ranged from 10² to 10⁻⁵. The relationship of the K_OL relative to G, H and M was obtained via multiple regression. The obtained values of these parameters indicate that the primary factor affecting the K_OL values of the high H compounds is their M values. The effects of the H values on the K_OL values of the high H compounds can be neglected. On the other hand, the H value is the major factor determining the K_OL values of the low H compounds. The changes in the K_OL values of the different H compounds exhibit different profiles as the liquid-mixing intensity increases. The M and H values of middle H compounds possibly affect their K_OL values. The effects of the liquid-mixing intensity on the K_OL values of the organic compounds increase with increasing H values. The variation in the K_OL values might be a result of the concentration of the organic compounds at the interface between the liquid and gas films. The empirical relationship between K_OL and some selected parameters, G, H and M, is examined in this study. The obtained results can help to estimate volatilization loss of organic solutes in wastewater treatment facilities.     

含油污泥调剖技术在陇东油田悦29区的应用

针对长庆陇东油田悦29区注水平面矛盾突出的特点,优选了含油污泥调剖技术。详细介绍了调剖体系的配制,调剖体系性能测试表明其相关性能指标满足要求。进行了驱替模拟试验,结果表明:其封堵作用可以维持较长时间,通过对不同注水井组进行现场应用,显示该技术能改善水驱开发效果,可以满足油藏深部封堵大孔道的技术要求,有增油降水效果。     

利用中巴地球资源卫星数据反演武汉市湖泊营养状态指数

以武汉市主要湖泊为例,研究了利用中巴地球资源卫星（CBERS2）数据反演水体营养状态指数（TLI）。研究旨在评估利用中巴地球资源卫星数据来估算内陆水体富营养化程度的可能性。首先利用地面水质监测数据计算武汉市某些湖泊监测点的“真实的”营养状态指数（包括综合营养状态指数和修正的Carlson营养状态指数）,同时,在事先经过辐射校正和几何校正的CBERS2图像上,以9×9像元为采样窗口,提取各个对应地点的灰度值均值（从波段1至波段4）;然后,采用多元逐步回归分析,以各波段灰度值均值为自变量,建立营养状态指数经验遥感反演模型;最后,利用模型对整个湖泊水体的营养化状态指数进行反演,并绘制了其空间分布图。 结果显示,营养状态指数的自然对数值与CBERS2图像各波段灰度值之间存在较好相关关系,回归系数平方值(R²)为0.51。利用反演模型反演得到的湖区水质分布与实际情况基本相符。由于CBERS2图像数据可以从我国许多数据分发中心免费获取,这为低成本的水质遥感监测提供了一条途径。     

移动通信基站电磁辐射时空分布及衰减特征

根据理论计算公式和实测数据,研究基站电磁辐射水平、垂直方向的衰减趋势,分析影响基站电磁辐射时空分布的各种因素,认为基站电磁辐射实际影响范围要远小于安全防护距离。     

航空不安全事件人为因素分析R-S-TER模型的构建与应用研究

借鉴传统人为因素分析Reason模型和SHEL模型,结合TER模型的特点构建航空不安全事件人为因素分析的R-S-TER模型。分别采用Dijkstra算法和坐标轴方法应用R-S-TER模型对单个和多个航空不安全事件进行研究,找出各个不安全事件的主要事故链。运用C语言程序计算出了预防航空不安全事件的最优方案。应用R-S-TER模型可以有效地达到预防航空不安全人为因素的目的。     

饮食业油烟道火灾的模糊事件树分析

对饮食业油烟道火灾事故进行事件树分析时,历史数据的缺乏常常导致无法进行事件序列的定量计算.针对这一问题,利用专家对事故的模糊评判,引入模糊事件树进行定量计算研究.在模糊集理论的基础上,结合德尔菲法和判断矩阵法, 将模糊性语言转换为三角模糊数或梯形模糊数,应用模糊数截集以及模糊数清晰化方法,对后果事件发生概率进行计算.研究表明,饮食业油烟道火灾事故概率的模糊事件树分析是切实可行的,有助对饮食业油烟道火灾的认识、预防和扑救工作.     

火电厂应急管理信息系统研究

分析火电厂事故应急管理的特点,即事故应急响应的快速性、高效性及可预测性;从技术框架设计、网络设计、数据库设计、系统安全性设计4方面分析火电厂应急管理信息系统的总体设计方案;分析火电厂应急管理系统的业务模块划分及主要功能;讨论火电厂应急管理信息系统的实现方式及主要工作界面.结果表明,在系统三维仿真环境中可以进行重大危险源辨识、风险评估以及有效组织模拟演练,从而提高火电厂的应急管理水平.研究表明,高质量的仿真环境与科学的逻辑分析可为临灾状态下的应急救援决策提供快速、有效的技术支持,具有重要现实意义.     

煤炭行业推行安全生产责任保险作用及问题探讨

为了减少事故及其造成的损失,使企业不致因灾后赔付而陷人困境和摆脱“企业赚钱,政府发丧”的怪圈,在煤炭行业推行安全生产责任保险,把商业保险模式引入安全生产领域,分散转移风险,并运用保险行业风险管理方法,规避、控制和管理风险,强化事故预防,以达到安全发展、可持续发展的目标。笔者在认真研究有关政策法规,搜集整理相关资料,实地凋研考察的基础上,结合我国煤炭行业安全生产以及煤炭行业责任风险管理现状,对我国煤炭行业推行安全生产责任保险的作用以及试点省市安全生产责任保险实施过程中遇到的问题进行了分析探讨。     

神经网络在低压脱扣装置选择上的应用

低压脱扣装置应用于环境复杂的场合, 选型不当易使得电力事故频发,不利于电力系统的可靠运行。通过分析影响低压脱扣选择的因素,利用Back Propagation神经网络进行建模,提出了一种低压脱扣装置自动选择预测方法,结果表明:该方法在准确性与可重复性.上与传统方法相比具有较大优势,在工程应用中有一定的参考作用。