Biological treatment of textile wastewater using sequencing batch reactor technology

This study was conducted to biologically treat wastewater discharged from the textile industry (textiles made of cotton and/or synthetic fiber) using sequencing batch reactor (SBR) technology (activated sludge process operating on batch mode). To achieve the objectives of the study, the characteristics of textile wastewater and the biodegradation of its organic constituents under unsteady state conditions were studied. Then, a bench-scale pilot plant was used to study the performance of SBR by monitoring the settleability and change in the constituents (chemical oxygen demand and solids) over time. Results of the study showed that textile wastewater has different types of pollutants: heat, basicity, suspended solids, organic and inorganic matter, and heavy metals. The factors affecting the biodegradation of organic matter were determined as the reaction time and the ratio of initial substrate to sludge concentrations. Also, removal of solids was monitored, and the settling velocity as affected by sludge concentration was graphically presented to enable the determination of settling time. Finally, the outcome of this study was used to suggest a procedure for the design of a full-scale SBR unit for treatment of textile wastewater.     

One independent variable rate equation describing utilization of biodegradable organic matter in activated sludge processes

This investigation aims to represent aerobic utilization of biodegradable organic matter present in wastewater by a rate equation. This rate equation can then be used to develop a substrate utilization (removal) kinetic model for unsteady state activated sludge process. To achieve this objective, theoretical utilization of biodegradable organic matter in batch process and growth pattern theory were studied. Also, experimental data representing removal of organic matter in different types of wastewaters were collected and analyzed for batch and continuous activated sludge assays. A rate equation was proposed to describe the utilization of biodegradable organic matter based on theoretical analysis of batch process. This rate equation was then verified through differential and integral analysis of the experimental data. Furthermore, a substrate kinetic model for batch and continuous processes was developed. The developed rate equation will facilitate the analysis and design of sequencing batch reactor (SBR) technology for biological treatment of wastewater.     

Adaptive Consensus Principal Component Analysis for On-Line Batch Process Monitoring

As the regulations of effluent quality are increasingly stringent, the on-line monitoring of wastewater treatment processes becomes very important. Multivariate statistical process control such as principal component analysis (PCA) has found wide applications in process fault detection and diagnosis using measurement data. In this work, we propose a consensus PCA algorithm for adaptive wastewater treatment process monitoring. The method overcomes the problem of changing operating conditions by updating the covariance structure recursively. The algorithm does not require any estimation compared to typical multiway PCA models. With this method process disturbances are detected in real time and the responsible measurements are directly identified. The presented methodology is successfully applied to a pilot-scale sequencing batch reactor for wastewater treatment.     

集中式饮用水水源地水质预警指标体系构建

饮用水水源地水质预警是建立健全饮用水安全保障体系的关键环节,构建水源地水质预警指标体系是水源地监控预警工作的重要基础。系统分析了常规水质在线、生物毒性在线、卫星遥感、人工巡视等水质预警监测技术手段,并分析比较了各方法的优缺点。以此为基础,遵循水源地预警指标体系构建原则与实际需求,统筹兼顾,提出了建立以常规理化-生物毒性在线监测相结合,遥感监测与人工巡查相统筹的一体化水源地水质预警指标体系,为水源地水质预警监控工作提供合理的、科学的技术支撑。     

人工神经网络用于铅的化学形态模拟计算

用前馈线性网络法求解水体系中Ｐｂ（２＋）与ＯＨ－之间的反应常数，不同训练算法对求解结果的精度、收敛速度及权值均有影响．结果表明，批处理算法的精度最好，权值不出现负值，但运算时间最长；在线算法的精度虽不如批处理算法，而比数据变换－在线算法好，权值有时会出现负值．运算时间较长；数据变换－在线算法的优点是运算时间短，但相对误差较大，权值出现负值的机会多。采用反馈网络模拟计算铅的各种化学形态的浓度．用物料核算的方法对反馈网络模型进行检验表明，此种模型用于平衡计算是可行的，详细分析了理论模拟和实验曲线的差异的原因，温度的影响最小，在４＜ｐＨ＜９时，ＣＯ有重要的影响．在国代检验时，ｎ值取整所引入的误差的影响亦不可忽视。从本文的结果可以看到，采用前馈网络和反馈网络相结合的方法考察水体中的化学形态是可行的．从而为解决这一类问题提供了一种可能的途径．     

一种基于游弋图像的水域监视鸟瞰图成像系统

针对各类水域污染日趋严重而传统水质监测方式离散、范围受限等不足,构建了基于游弋图像的水域鸟瞰图成像系统,实现大范围实时、连续监控。使用偏振设备消除水面反光,得到清晰的水面图像。设计了摄像机内外参标定的方法,在线获得状态参数;提出了自适应空洞填补的策略,消除了由透视图映射至鸟瞰图时产生的图像空洞;结合GPS信息和图像特征配准技术,获取了由船载摄像机视频序列拼合成的鸟瞰全景图像。该方法具有分辨率高、实时性强、监测范围广和使用成本低等优势。     

COD在线监测仪的比对分析

以新疆某化肥有限公司污水COD在线监测仪为例,用在线监测数据与实验室重铬酸钾法测定数据进行比对分析,对污染源在线监测的比对分析方法进行探讨.通过比对,二者没有显著性差异,用在线监测仪测定COD,可节约时间,有利于对污染源的在线监控.     

VOCs在线监测进样方式对非甲烷总烃测定的影响

采用正压、负压、大气平衡3种进样方式，研究了VOCs在线监测系统对非甲烷总烃测定的影响。探讨在大气平衡进样方式下定量环内压力、平衡时间、进样流量对非甲烷总烃测定的影响，研究结果表明：采用正压进样方式，定量环内正压增大，非甲烷总烃质量浓度偏高；采用负压进样方式，定量环内负压增大，非甲烷总烃质量浓度降低；采用大气平衡进样方式，定量环内压力、平衡时间、进样流量的增大或减小对非甲烷总烃测定没有明显影响。比较3种进样方式，大气平衡进样方式的VOCs在线监测系统能够提高非甲烷总烃在线监测结果的准确性和可靠性，更适用于污染源废气在线监测。     

在线自动监测与手工分析地表水总氮的可比性研究

对比浙江省地表水水质自动监测站总氮在线监测与实验室手工方法,分析进口水质总氮自动监测仪在国内的适用性以及与手工方法的可比性。结果表明,一些国外引进的自动监测仪在国内使用时要根据我国水体的实际情况在实验条件上作一定的改进,改进后的监测数据与手工方法才具有可比性。     

State estimation in wastewater engineering: Application to an anaerobic process

The use of an extended Kalman filter for state estimation in biological wastewater treatment processes is discussed. The application of the technique requires an adequate mechanistic dynamic model and the identification and modelling of the major sources of stochastic disturbances in the process. The filter allows the on-line tracking of process variables which are not directly measurable. The use of an extended Kalman filter is illustrated through a simulated application to a high rate anaerobic wastewater treatment process.