石家庄高含氮高浓度化纤废水处理改造工程试验研究

己内酰胺 锦纶化纤废水属于高含氮高浓度有机废水。通过理论分析和试验研究 ,对原A/O/A/O工艺存在的问题进行了分析 ,提出了替代工艺ENSBR/BDAR/COR技术路线。试验结果表明 ,该工艺流程处理效率高 ,运行稳定 ,能达标排放     

屠宰废水处理改造工程设计实例

针对上海申源肉类加工厂废水量增加的实际情况 ,采用原有生物接触氧化与新建SBR池相结合的处理工艺 ,处理后水质达到上海市污水综合排放标准。     

印染废水处理改造工程设计及运行实例

某印染废水处理改造工程设计规模1440m3/d,采用混凝—水解酸化—两级接触氧化—过滤处理工艺。工程实践表明,在进水CODCr2356mg/L、SS294mg/L、色度481倍时,出水CODCr70mg/L、SS36mg/L、色度37倍,达到《纺织染整工业水污染物排放标准》(GB4287—92)的一级标准。     

电镀废水处理工程设计实例

电镀废水水质复杂,含有多种金属离子,成分不易控制,适宜采用分质处理方式。介绍了广东江门某电镀厂废水处理工艺流程及相关技术参数和经济指标。     

电镀废水处理工程改造实例

某电子通信企业的电镀废水成分比较稳定,含有大量的铬、铜、氰等重金属污染成分,废水酸度较大,有机物含量较高。原废水处理工程采用电解、中和、气浮等工艺,但出水不能达到《污水综合排放标准》(GB8978—1996)的要求。故运用物化法在废水中分别加入相应的化学药剂,利用高效反应器发生内电解反应后,再经过絮凝反应过滤去除,各主要污染物去除率均超过91%,达到排放标准。     

淀粉废水处理工艺改造工程实例

针对原有UASB—SBR工艺效率低、系统运行不稳定、出水含泥量高等问题,进行工艺改造,在UASB与SBR之间增设曝气沉淀池,去除SS和H2S等,有效提高SBR处理效率,并在SBR出水增设高效气浮装置,使系统保持稳定运行。实践证明,处理后出水质可达《污水综合排放标准》(GB8978—1996)一级标准。     

酒业公司废水处理改造方案研究

江苏沛县某酒业公司酒精废水排放量大,污染物浓度高,简单处理后的水外排会对当3地水质有较大影响。为此,针对其在生产过程中产生的废水特点,以酒精废水综合治理和再生水循环利用为研究对象。对原有废水处理工艺进行了改造。通过一级厌氧、二级厌氧（UASB）、二级好氧及深度处理组合工艺方案的实施,降低了污染物的浓度,实现了60％的废水回用率。此方案的实施不仅给企业带来巨大经济效益,同时又减轻了当地水域的污染负荷,对于改善生态环境起到了巨大的作用,具有明显的环境效益和社会效益。     

大连新港含油废水处理改造工程实例

介绍了大连新港含油废水处理厂的改造工程。两年的稳定运行表明 ,采用除油罐 -预曝气斜管隔油池 -贮水调节池 -生物滤池工艺处理含油废水 ,在废水含油量为 10 0 0～ 30 0 0mg/L时 ,最终处理出水含油量小于 5mg/L。预曝气斜管隔油池具有气浮和强化重力分离的双重作用 ,表面负荷可达 4m3/ (m2 ·h) ,除油效率高。改造工程总投资 15 3 4万元 ,盘活了 2个 5 0 0 0m3的贮水罐(资产 12 0 0万元 )和原斜板隔油池的占地 5 0 0m2 。     

炼油废水处理工艺的改造实例

在分析原炼油废水处理工艺存在问题的基础上,先后采用"浮盘环流收油"、高效气浮机等技术,及将未经处理直接排放的合格废水和生活污水引入氧化沟、改进氧化沟控制程序、改造曝气机、完善过滤设施等措施,提高了装置的运行效果,延长了装置的运行周期,具有较好的经济效益和社会效益.     

电镀废水处理工程实例

采用氧化还原、化学沉淀法处理青岛某金属结构有限公司电镀废水,先用还原法和气浮法分别对含铬废水和酸碱废水进行预处理,处理后合流进入化学处理工序。实践证明,该方法技术成熟,运行费用较低,出水水质可达到《污水综合排放标准》(GB8978—1996)中一级标准及第一类污染物最高允许浓度标准要求。     

合成纤维及其在混凝土配合比设计中的关键技术

合成纤维混凝土已在水利工程中得到了广泛的应用，它已成为水利工程水泥基复合材料的未来发展方向。在试验研究的基础上，着重介绍了合成纤维的主要品种、性能、混杂纤维混凝土及纤维增强机理，并讨论了合成纤维混凝土没计和配置中关键性技术问题。     

石家庄市污水回用工程中的自动化设计

石家庄市污水回用工程是石家庄市引水入市工程的配套工程。工程的主要流程是 ,化学除磷、絮凝、过滤、消毒等。在工程实施时 ,为了确保出水水质 ,降低工作强度 ,对各工艺过程根据不同情况 ,采用不同的设计思路 ,配置相应的过程仪表 ,实现加药、过滤等过程的自动化。介绍了加药系统、高负荷快速沉淀池、V型滤池的控制系统流程     

合成纤维混凝土材料的发展与应用

本文介绍了国内外纤维增强混凝土的开发应用情况和目前几种常用合成纤维混凝土的基本性能,其中着重论述了聚丙烯纤维混凝土的技术特点。提出了这种混凝土新材料今后的研究方向,并对在渠道防渗工程中的应用前景进行了展望。     

Integrated operation of sewer system and WWTP by simulation-based control of the WWTP inflow.

In recent years numerical modelling became a standard procedure to optimise urban wastewater systems design and operation by integration. For dynamic control of the wastewater teatment plant (WWTP) inflow, a model-based predictive concept is introduced aiming at improving the receiving water quality. An on-line simulator running parallel to the real WWTP operation reflects the actual state of operation and provides this model information to a prognosis tool which determines the best option for the WWTP inflow. The investigations showed that it is possible to reduce the NH4-N peak concentrations in the receiving water by dynamic WWTP inflow control based on predictive scenario analysis.     

污水处理及强排工程的设计实例

安徽全柴动力股份有限公司排放的合流制污水采用隔油 气浮 生物接触氧化 过滤等工艺处理后 ,可达标排放 ,且通过管网改造消除了内涝隐患     

WWTP dynamic disturbance modelling--an essential module for long-term benchmarking development.

Intensive use of the benchmark simulation model No. 1 (BSM1), a protocol for objective comparison of the effectiveness of control strategies in biological nitrogen removal activated sludge plants, has also revealed a number of limitations. Preliminary definitions of the long-term benchmark simulation model No. 1 (BSM1_LT) and the benchmark simulation model No. 2 (BSM2) have been made to extend BSM1 for evaluation of process monitoring methods and plant-wide control strategies, respectively. Influent-related disturbances for BSM1_LT/BSM2 are to be generated with a model, and this paper provides a general overview of the modelling methods used. Typical influent dynamic phenomena generated with the BSM1_LT/BSM2 influent disturbance model, including diurnal, weekend, seasonal and holiday effects, as well as rainfall, are illustrated with simulation results. As a result of the work described in this paper, a proposed influent model/file has been released to the benchmark developers for evaluation purposes. Pending this evaluation, a final BSM1_LT/BSM2 influent disturbance model definition is foreseen. Preliminary simulations with dynamic influent data generated by the influent disturbance model indicate that default BSM1 activated sludge plant control strategies will need extensions for BSM1_LT/BSM2 to efficiently handle 1 year of influent dynamics.     

Improvement of nitrogen removal at WWTP Zürich Werdh?elzli after connection of WWTP Zürich-Glatt.

Optimisation of nitrifying activated sludge plants towards nutrient removal (denitrification and enhanced P-removal) leads to a substantial reduction of operating costs and improves effluent and operating conditions. At WWTP Zürich-Werdh?elzli, initially designed for nitrification only, an anoxic zone of 28% of total activated sludge volume was installed and allowed 60% nitrogen elimination besides several other optimisations. In 2001 the operation of WWTP Zürich-Glatt was stopped and the wastewater was connected to WWTP Werdh?elzli. To improve nitrogen removal, WWTP Werdh?elzli co-financed two research projects; one for separate digester supernatant treatment with the anammox process operating two SBRs in series and the other applying NH4 sensors for aeration control in order to decrease energy consumption and raise effluent quality. The results of both projects and the consequences for WWTP Werdh?elzli are discussed in this paper.     

ASM1 dynamic calibration and long-term validation for an intermittently aerated WWTP.

Activated sludge models, and ASM1 in particular, are well recognised and useful mathematical representations of the macroscopic processes involved in the biological degradation of the pollution carried by wastewater. Nevertheless, the use of these models through simulation software requires a careful methodology for their calibration (determination of the model parameters' values) and the validation step (verification with an independent data set). This paper presents the methodology and the results of dynamic calibration and validation tasks as a prior work to a modelling project for defining a reference guideline destined to French designers and operators. To reach these goals, a biological nutrient removal (BNR) wastewater treatment plant (WWTP) with intermittent aeration was selected and monitored for 2 years. Two sets of calibrated parameters are given and discussed. The results of the long-term validation task are presented through a 2-month simulation with lots of operation changes. Finally, it is concluded that, even if calibrating ASM1 with a high degree of confidence with a single set of parameters was not possible, the results of the calibration are sufficient to obtain satisfactory results over long-term dynamic simulation. However, simulating long periods reveals specific calibration issues such as the variation of the nitrification capacity due to external events.     

Standard signal processing using enriched sensor information for WWTP monitoring and control.

Important indicators for monitoring and control of wastewater treatment plants (WWTP) often have to be obtained from the processing of on-line signal trajectories. Therefore, the quality of sensor instantaneous measurements can be improved significantly if they are complemented with valuable information about the geometric features of their trajectories. The present paper describes the design and implementation of a Standard Signal Processing Architecture (SSPA) from which enriched sensor information is generated automatically. The SSPA has been made up of three complementary modules: the pre-processing module, the storage module and the post-processing module. Moreover, the SSPA has been parameterised so as to allow its adaptation to the specifications of every signal. By performing basic calculations on pre-processed signal trajectories, the storage module produces enriched vectors which collect information of the first and second time derivatives, average and variance values, peak values, linear regression parameters, curvature, etc. Then, the enriched information vectors can be exploited to implement customised monitoring and control tools. In this respect, the effectiveness of the SSPA has been demonstrated in three different practical cases: (1) OUR and KLa identification algorithms; (2) processing of measurements for real-time controllers; and, (3) detection of bend-points in on-line signals of SBR processes.