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.     

溶解性有机碳对微库仑法测定水中可吸附有机卤素的影响

微库仑法测水样中可吸附有机卤素(AOX)受多种因素影响,其中溶解性有机碳(DOC)的影响非常显著。DOC对微库仑法2种前处理方法(双柱法和振荡法)的影响差异很大。双柱法受DOC影响较小,当DOC浓度小于1 000 mg/L时,AOX加标回收率范围为94.0%~104%。振荡法受DOC影响较明显,随着DOC浓度的升高,AOX回收率持续下降,当DOC浓度达到1 000 mg/L时,AOX加标回收率下降至72.1%,但DOC浓度小于100 mg/L时,AOX加标回收满足方法要求。进一步研究发现,DOC对振荡法的影响主要由于竞争吸附降低了活性炭对AOX的吸附容量,而非吸附速率,虽然增大活性炭用量可在一定程度上减小DOC对AOX测定的影响,但对样品进行稀释是减少DOC影响的最简单高效的办法。同时,DOC对不同类型的有机卤代物影响不同,有机溴受DOC影响程度小于有机氯。     

考虑道路扬尘特性的环境空气质量在线监测方法

为判断环境空气污染的程度,提出一种考虑道路扬尘特性的环境空气质量在线监测方法。通过前端数据监测模块采集大气环境数据,基于光全散射法监测道路扬尘的质量浓度和密度;通过监测通信模块将监测结果传送至云服务器;云服务器利用基于极限学习机神经网络的预测模型,采用自适应粒子群优化算法,获取最佳的环境空气质量在线监测结果。结果表明,该方法学习速率的取值为0.5时,能够完成颗粒物浓度和密度的准确检测,且解释方差<2%,同时能够监测扬尘颗粒的扩散时间,确定适合活动的区域。     

Assessing the removal of inorganic colloids and Cryptosporidium parvum from drinking water

A new batch device that simulates the conditions in water and wastewater treatment plants and enables the study of low-concentration feeds is described. The application of this apparatus to the monitoring of the concentration of inorganic and/or biological contaminants is demonstrated, using kaolin particles and Cryptosporidium parvum oocysts, respectively. The rate of inorganic particle attachment to the static medium is found to be directly proportional to the initial influent concentration. On the other hand, Cryptosporidium parvum removal is found to be more effective in the presence of additional (kaolin) particles, and this is attributed to electrostatic interactions between oppositely charged layers on the absorbing medium. Accordingly, the addition of humic materials is found to inhibit the removal process, possibly by neutralizing the positive charge on the kaolin particles. The relevance of these results to existing water purification processes in general and to risk assessment of microbiological contamination in particular is discussed.     

The evaluation of a low resolution fourier transform infrared (FTIR) gas analyser for monitoring of solvent emission rates under field conditions

The applicability of a low resolution (8 cm-1) Fourier transform infrared (FTIR) gas analyser with an absorption path length of 3 m was evaluated for the on-line monitoring of organic solvent mixture emissions in a flexographic ink manufacturing plant. The on-line monitoring revealed that the highest variations of solvent concentrations, up to three decades, occurred in the exhaust air. The FTIR analyser with a dynamic range of four decades covers well the concentration ranges typically found in the exhaust air and in the workroom air of ink manufacturing plants. The average emission rate of solvent mixture based on a sampling period of two days was 1.8 kg h-1 consisting of mainly ethanol (70%), ethyl acetate (15%) and propan-2-ol (11%). The detection limits of the analyser for the solvent compounds ranged from 0.3 to 4.3 mg m-3 and the measurement uncertainty was less than 10% in the concentration range of 8-15,000 mg m-3. These characteristics make the apparatus appropriate for most industrial hygiene applications. An FTIR spectrophotometer, equipped with an multipoint sampling unit, facilitates rapid identification of solvent components, real-time display of concentration data relevant to workroom air and environment monitoring as well as process control. Furthermore, the on-line concentration information enabled a rapid selection of representative sampling locations. The spectrophotometer is transportable, rugged and relatively simple to calibrate even in a hostile industrial environment.     

污染源废气中二噁英监测采样应注意的几个问题

解析废气中二噁英监测采样的现状及不足,针对生活垃圾焚烧炉(炉排炉)、蓄热式焚烧炉(RTO)和危险废物焚烧炉(回转窑)3种不同类型焚烧炉,考察了采样过程中烟道类型、采样时间和采样时间间隔不同对二噁英监测的影响。结果表明,在水平烟道和垂直烟道采样测得二噁英排放浓度水平相当,有垂直烟道时,优先在垂直烟道采样;间隔采样和连续采样二噁英测定结果基本一致,为了便于操作,建议均采用连续采样方式;采样时间上,生活垃圾焚烧炉应保证超过1 h,蓄热式焚烧炉以2 h左右为宜;间歇投料危险废物焚烧炉应尽量满足2 h以上,条件不许可时,可通过增加采样流量缩短采样时间保证采样量,并在危险废物完全燃烧前结束采样工作。     

Data Sharing – a Case of Shared Databases and Community Use of On-Line GIS Support Systems

Data management is becoming increasingly simple and complex at the same time. The challenge is to effectively use the increasing number of tools available to manage increasing amounts of environmental information for purposes of data capture, analysis, display, sharing and storage. Government is no longer the main collector and provider of data. Community groups possess vast amounts of data collected through daily work of monitoring the environment in their local community. The chief concerns are data access, sharing, integrity and comparability. The capacity of groups to sustain data management is the key to making the sharing possible. The Southeast Environmental Association has been working with Environment Canada to develop a community, on-line database that will be linked to other geo-spatial data sets to allow instant access to geo-referenced data.     

连续流动分析用于总磷在线监测的可行性研究

以连续流动-钼酸铵分光光度法为基础,探究连续流动检测流程和蠕动泵泵速,建立总磷连续流动在线监测方法。该方法线性范围为0~2.00 mg/L,方法检出限为0.002 mg/L,方法相对标准偏差RSD为0.4%。将该法应用于实际水样测定,并通过加标回收率对分析结果进行验证,加标回收率为79.7%~109.4%,质控样品测定结果满足生态环境部标准样品研究所的误差允许范围,可用于地表水总磷在线监测。     

化学需氧量和总有机碳在水质在线监测中的比较

化学需氧量（COD）和总有机碳（TOC）是定量表示水体受有机物污染的2个重要代表性指标。传统的COD在线监测方法在监测有机污染物方面存在一定的挑战,系统比较了COD和TOC在线监测方法在特殊水质中的应用。结果显示：TOC对难氧化有机物的氧化效率高达98%,高氯离子和无机还原性离子对TOC测量误差影响分别约为10%和7%。TOC可更直接、更准确地反映出水体受有机物污染的情况,最后对TOC指标在水质在线监测中的推广应用提出建议。     

松花江底栖动物分布规律及与理化评价差异研究

2012—2015年对松花江干流11个断面21个点位进行底栖动物群落监测,在7种单一指数评价的基础上运用简单的叠加法进行综合评价,并与常规理化监测与评价进行了比较。结果显示,与2012年相比,2013年松花江干流底栖动物物种较丰富,各点位评价结果有所提升;2015年摆渡镇-同江段多为清洁等级,水环境生态质量稳中趋好,下游改善明显。结果显示,生物学评价与理化评价存在明显的差异,在水质改善的过程中生物学评价更灵敏、更显著。     

Multi-criteria group decision-making based sustainability measurement of wastewater treatment processes

There are various processes which can be used for wastewater treatment (WT), and the selection of the most sustainable one among different processes is a hard task. This study aims at helping the decision-makers (DM) to address this by developing an intuitionistic fuzzy set (IFS) theory based group multi-attribute decision analysis (MADA) method. Ten criteria in environment, economy, society-politic, and technology dimensions were employed to achieve sustainability measurement (SM) of WT processes. The multi-criteria sustainability assessment method developed in this study allow different experts to attend the SM, and enable the participants to employ the natural language/words to depict their intuitionistic opinions. Accordingly, the proposed method can achieve group SM under uncertainties. An illustrative case including four processes for wastewater treatment, namely Anaerobic-Anoxic-Oxic (AAO) process, Triple Oxidation Ditch (TOD) process, Anaerobic single-ditch oxidation (ASD) process, and Sequencing batch reactor activated sludge process (SBR), has been studied, and the results reveal that this method can determine sustainability sequence of different WT processes.