Prediction and Analysis of Total Nitrogen in a Sewage Treatment Plant Effluent

Total nitrogen was an important indicator for characterizing eutrophication of polluted water. Although the use of water quality online monitoring instrument can monitor water quality changes in real time, the degree of intelligence was low, so it was urgent to predict the water quality and take precautions in advance. A predictive model for total nitrogen levels in a sewage treatment plant utilizing the Anaerobic-Anoxic-Oxic (AAO) process was investigated in this paper. This model demonstrated significant practical application value. Based on the ARIMA (Autoregressive Integrated Moving Average) model and taking into account the impact of Biochemical Oxygen Demand (BOD), a prediction model for effluent total nitrogen was developed. However, the initial results exhibited significant deviations. To address this issue, seasonal factors were further considered. Then, the dataset was divided into winter and Non-winter sub-samples, leading to a reconstruction of the prediction model. Additionally, in developing the Non-winter prediction model, life cycle considerations were incorporated, and consequently, a SARIMA (Seasonal Autoregressive Integrated Moving Average) model was established. The predicting deviation associated with both the winter and Non-winter forecasting models showed a significant reduction.

Levels and distributions of polychlorinated biphenyls in sewage sludge of urban wastewater treatment plants

Concentrations of polychlorinated biphenyls （PCBs） have been measured in sewage sludge samples from 8 urban wastewater treatment plants in Beijing, China. The PCB congeners were analyzed by isotope dilution high resolution gas chromatography/high resolution mass spectrometry method. The concentration of PCBs ranged from 65.6 to 157 ng/g dry weight （dw）, with a mean value of 101 ng/g dw. The dioxin-like PCB WHO-TEQs （World Health Organization-Toxic Equivalents） of the sludge were lower than 1 pg /g dw. Consequently, all the concentrations of PCBs in sludge samples were below the upper limit for land application according to the Chinese legislation law for agriculture use. The PCB homologue profiles in sludge samples were dominated by tri-CBs and tetra- CBs. Similar distributions have been found in one of the Chinese PCB commercial products. The patterns of dioxin-like and indicator congeners observed in this study were quite similar in all samples. The predominant congener for dioxin-like and indicator PCBs were PCB-118 and PCB-28, respectively, while PCB-126 had the highest TEQ value.

Current Seasonal Variations in Physicochemical and Heavy Metals Parameters of Sewage Treatment Plant Effluent and Suitability for Irrigation

The study aims to investigate the current extent of physicochemical parameters and heavy metal contamination in the effluent of the Jaganpur sewage treatment plant (STP), Dayalbagh, Agra India. Majority of the nearby farmers have access to use of STP effluent in irrigation purposes for growing major edible crops. The problems of using STP effluent for irrigation purpose, continuous water quality analysis required. To check the quality of irrigation water, substantial physicochemical parameters accordance to Indian Standards (IS-Reaffirmed 2002/2003) analysed to calculate Sodium absorption ratio (SAR) and Residual sodium carbonate (RSC). To estimate the heavy metal pollution index (HPI) and metal quality index (MQI), toxic Heavy metals such as As, Cr, Mn, Fe, Ni, Cu, Zn, Pd, Cd, Co, and B also determined in the STP effluent with an AAS and results verified with ICP-OES against certified standards. The high value of SAR (range 13 to 20) and RSC (range -10 to 11) in STP effluent exceeded the permissible limit for irrigation purpose. On the other hand, HPI and MQI values (1692.4 and 58.1, respectively) show that high metal contamination mainly due to industrial and domestic wastewater does not treat appropriately in the sewage treatment plant. Thus it is suggested that further studies are carried out on the STP effluents to improve the water quality through proper treatment. Treated wastewater used for irrigation purposes needs to analyse the contamination like heavy metals and pinpoint the pollution sources.

Deep learning-based intelligent management for sewage treatment plants

It is generally believed that intelligent management for sewage treatment plants(STPs) is essential to the sustainable engineering of future smart cities.The core of management lies in the precise prediction of daily volumes of sewage.The generation of sewage is the result of multiple factors from the whole social system.Characterized by strong process abstraction ability,data mining techniques have been viewed as promising prediction methods to realize intelligent STP management.However,existing data mining-based methods for this purpose just focus on a single factor such as an economical or meteorological factor and ignore their collaborative effects.To address this challenge,a deep learning-based intelligent management mechanism for STPs is proposed,to predict business volume.Specifically,the grey relation algorithm(GRA) and gated recursive unit network(GRU) are combined into a prediction model(GRAGRU).The GRA is utilized to select the factors that have a significant impact on the sewage business volume,and the GRU is set up to output the prediction results.We conducted a large number of experiments to verify the efficiency of the proposed GRA-GRU model.

Discussion on the Problems and Developing Trend of Construction of Sewage Treatment Plants in Small Towns

Existing problems of sewage treatment plants in small towns were summarized firstly,and then the developing trend of construction of sewage treatment plants in small towns was discussed from the aspects of project decision,site selection,design,processing technology and construction financing models. Finally,outlooks for its future development were proposed to provide reference for the construction of sewage treatment plants in small towns in future.

Advances in Research of Characteristics and Removal of Microplastics in Sewage Treatment Plants

Microplastic pollution has become a worldwide issue.The discharge of sewage treatment plants(STPs)or wastewater treatment plant(WWTPs)is an important way for microplastics to enter the environment.This study reviewed the sources and occurrence characteristics(type,size,color and components)of microplastics in domestic and foreign sewage plants.It elaborated the removal principles of microplastics by primary,secondary and tertiary treatments.In addition,the removal effects of various treatment units and different processes on microplastics were summarized.In the future,the removal mechanism of microplastics in sewage treatment plants should be discussed in more depth,so as to further improve the removal rate of microplastics by optimizing and transforming traditional sewage treatment processes.Therefore,it is necessary to develop new technologies/processes specifically for the removal of microplastics and promote them to practical applications.

Behavior of Antibiotic-Resistant Fecal Coliforms in the Stream of a Sewage Treatment Plant in Tokyo

We are confronting a new threat in the prevalence of antibiotic-resistant bacteria followed by epidemic spread in aquatic environments in metropolitan areas because damage from river floods is increasing remarkably in Japan due to global extreme weather. The sewer penetration rate is about 100% in Tokyo and reclaimed water from sewage treatment plants accounts for over 50% of all water in both the down- and mid-stream areas of local rivers. The water quality of these rivers, which contain microflora, seems to be seriously affected by reclaimed water. In this study, we collected water samples on July 17, 2018 and examined the behavior of antibiotic-resistant fecal coliforms in the stream of a sewage treatment plant in Tokyo. Extended-spectrum β-lactamase (ESBL)-producing fecal coliforms with encoding genes were found;the CTX-M-1, CTX-M-9, TEM, and SHV groups were found to have survived in the final effluent to the river after sterilization with sodium hypochlorite.

Sewage Sludge： A Sustainable Source for Plant Nutrient

Sludge production is an avoidable problem arising from the treatment of wastewater. The sludge remained after municipal wastewater treatment contains considerable amounts of various contaminants and if is not properly handled and disposed, it may produce extensive health hazards. On the other hand, this sludge has benefit for plants and soils. Sludge samples were collected over a 12 month period from sewage treatment plants （STP＇s）, i.e, Khairathabad and Meeralam Tank, Hyderabad, India and analyzed for C, H, N, S by elementar analyzer, P, K, Ca, Mg by spectrophotometer and heavy metals like Zn, Pb, Ni, Cu, Cd by atomic absorption spectrophotometer. The sludge contained approximately 50% organic matter and 1-4% inorganic carbon. Organic and inorganic carbon, organic nitrogen, inorganic phosphorous, Ca and Mg were found to be present in sludge at a relatively constant concentration with respect to sampling time. Inorganic N, organic P, K, and all metals were found to be quite variable with time when sludge produced from different STP＇s.

Advances in the Medicinal Value of Constructed Wetland Plants for Treating Rural Domestic Sewage

Firstly,the advantages and disadvantages of constructed wetlands for treating rural domestic sewage are introduced.Secondly,the types of constructed wetland plants are introduced.Thirdly,the suitability of using medicinal wetland plants to treat rural domestic sewage is analyzed.Fourthly,the principles of selecting wetland plants with medicinal value are studied.Finally,commonly used constructed wetland plants and their medicinal value are introduced.

Total concentrations and different fractions of heavy metals in sewage sludge from Guangzhou, China

Dewatered municipal sludge samples were collected from five municipal wastewater treatment plants （WWTPs） and one industrial WWTP in Guangzhou, China. A number of agricultural parameters and total metal concentrations in the sludge were determined. Metal speciation was also studied. The results showed that sewage sludge had high organic carbon, and was rich in such nutrients as N and P. The concentrations of Mn, Zn, and Cu were the highest, followed by Ni, Pb, and Cr, Cd had the lowest concentration. In addition, the concentrations of the aforementioned heavy metals in the sludge samples were higher than those recorded in the background data for crop soils. With the exception of Cu and Cd from site S1, and Ni from sites S1, $2, and $5, all other metal concentrations conformed to permissible levels prescribed by the national application standard of acid soil in China （GB 18918--2002）. The results of the BCR sequential extraction showed that the concentrations of Mn and Zn were predominant in acid-soluble/exchangeable and reducible fractions. Cu was principally distributed in oxidizable and residual fractions, whereas Cr was present in oxidizable and residual fractions, Pb was found in the state of residual fractions, and the distribution of Ni and Cd did not show significant characteristics.

Water Analyses, Eco-Balance and Socio-Demographic Analyses as Prerequisites for Solutions of the Sewage Treatment Problems in Rural Areas

The implementation of the EU-water framework directive (EU-WFD) demands a financeable and adaptable sewage treatment, creating a need for action especially in rural areas, where the “good ecological status” is often not reached even though the sewage works fulfill the legal minimum requirements. Therefore the construction of new, more efficient wastewater treatment plants is advisable. Due to the precarious financial situation in most rural areas, many municipalities can however not master the necessary funds for an improved waste water infrastructure. A large part of the costs would have to be shouldered by the local population in the form of additional sewage levies, leading to massive socio-economic strain. Hence, different solutions, which are tailored to the socio-economic, demographic and environmental characteristics of rural areas and fulfill the legal requirements, need to be developed. One possible approach is presented in the form of the Dirlammen case study (municipality Lautertal, Hesse, Germany). It consists of 1) biological and physicochemical analyses of the waste waters, 2) a modified eco-balance for the construction of a new sewage works and 3) socio-economic and demographic analyses of the population. It serves as a tool for the assessment of the influencing ecological, socio-economic and demographic factors on the sewage problems in rural areas. These findings can easily be transferred to other rural areas with a similar configuration and thus deliver the basis for a generally applicable approach to these problems. The results of the comprehensive analysis have shown for the municipality Dirlammen/Lautertal that the continued operation of the existing pond sewage plant is, with regards to the ecological, socio-economic and demographic points of view, preferable to the construction of a new waste water treatment plant. With regard to the sustainability principles of the sewage treatment and the objectives of the EU-WFD, existing sewage works should be operated for as long as the sewage treatment is feasible within technical and legal boundaries. With the construction of new facilities on the other hand, the expected improvement of the water quality has to be weighed against the ecological impairments caused by the construction itself. Rural waste water plans have to be developed for the long-term, taking not only the ecology into account but also the demographic change. Possible approaches in this regard could be a shift towards a decentralized waste water treatment concept and–even more important–improvements of the river morphology. But also the reduction of the diffuse pollution from agricultural sources should be considered for the development of strategies for the improvement of the ecological state. Short-term optimization measures in the existing sewage works might also improve the water quality until the long-term development plans can be implemented. In particular the challenges of the demographic change and linked with that the changing requirements for the rural waste water treatment must be addressed by any future plans. Only with the help of such a comprehensive approach the dangers of bad planning and unacceptable socio-economic burdens can be minimized.

基于化学强化的连续流类颗粒污泥工艺中试研究

采用絮凝强化连续流类颗粒污泥工艺对四川省某乡镇污水厂进行了生产性改造试验研究,基于侧流运行模式,评估了该工艺对于进水浓度低、水质和水量波动大的适应性、最佳运行参数和实际处理效果。研究发现,通过复合絮凝剂的投加,污泥的自聚集和颗粒化特性逐渐显现,菌胶团的宏观粒径以及颗粒密度显著增大,当系统污泥浓度控制在7~8 g/L时,污泥粒径可稳定维持在200μm,相较于传统絮状污泥,沉降性能得以大幅提高。当回流比为200%,溶解氧控制在1~2 mg/L,采用5 mg/L CPAM+60 mg/L PAC的絮凝剂复配组合时,出水COD、NH_(3)-N、TN、TP平均浓度分别为25.84、0.55、9.01、0.11 mg/L,均满足《四川省岷江、沱江流域水污染物排放标准》(DB 51/2311-2016)要求。

关于污水厂扩建项目工程中施工工艺的探究

随着工业化的快速发展,许多工厂为满足生产需求纷纷进行扩建项目。在这一过程中,施工工艺的探究与优化成为关键。这不仅决定了工程质量的好坏,还直接影响项目的投资成本和进度。优质的施工工艺能够确保工程结构的安全稳定,提高生产效率,降低后期维护成本。研究以荔枝县城三期污水处理厂扩建项目为例,深入探究污水厂扩建项目工程中主体建筑的施工工艺。

添加微藻的水生动植物组合对畜禽养殖场污水净化效应

用正交试验方法研究了添加微藻后的不同水生动植物组合对畜禽养殖场污水的净化效果。结果表明微藻的添加对污水的脱氮除磷效果有促进作用,当小球藻的添加量为1000 mL时,对总氮、硝态氮、总磷的去除效果最好,比未添加小球藻组去除率提高4.8%、32.63%、22.18%;当小球藻的添加量为4.4×10^(6)cell·mL^(-1)时,对氨氮、COD的去除效果较好,比未添加小球藻组去除率提高25.77%、13.30%。其中去除水体总氮、硝态氮效果最佳组合为红鲫鱼270 g·m^(-2),小球藻2.2×10^(6)cell·mL^(-1),田螺400 g·m^(-2),黑藻200 g·m^(-2)。去除氨氮最佳组合为红鲫鱼540 g·m^(-2),小球藻4.4×10^(6)cell·mL^(-1),田螺200 g·m^(-2),添加黑藻和苦草(种植比例1∶1,密度200 g·m^(-2))。去除总磷TP最佳组合为红鲫鱼540 g·m^(-2),小球藻2.2×10^(6)cell·mL^(-1),田螺400 g·m^(-2),黑藻(种植密度200 g·m^(-2))。研究表明,应用正交试验可以优化水生植物组合对畜禽污水净化处理工艺,对于不同的目标污染物,具有不同的最优参数组合,综合考虑各因素对各目标污染物的去除效果的影响,可以选择污水净化工艺的最优参数组合,通过回收沼液养殖的微藻用于水生动植物组合进一步净化养殖场污水,实现废弃物资源化循环利用,对于污水深度处理技术具有良好的应用前景。

Experimental Study on Anaerobic Digestion of Remaining Sludge in Municipal Wastewater Treatment Plant

Along with the development and progress of environmental protection management,it is necessary to pay full attention to the disposal of excess sludge in the process of urban sewage treatment plant management.It is necessary to ensure effective integration of management mechanisms and management paths.To a certain extent,it can improve the actual efficiency of digestion and treatment work and lay a foundation for the optimal operation of environmental protection management.In this paper,the treatment of excess sludge in a sewage treatment plant is studied.The method and results of anaerobic digestion test of excess sludge in a sewage treatment plant are discussed for reference only.

污水处理厂温室气体排放特征与减排技术研究

污水处理厂是温室气体的重要排放源,必须探索和应用有效的减排技术,提升温室气体减排能力。深入分析污水处理厂温室气体排放特征,有助于更好地应用减排技术。直接排放与间接排放是污水处理厂温室气体的两种主要排放形式。结合污水处理厂温室气体的来源,以山东省某污水处理厂为例,核算2018-2020年温室气体直接排放量与间接排放量,然后根据污水处理厂温室气体排放特征,分析污水处理厂温室气体的减排措施。总体来说,要科学选择污水处理工艺,合理调节工艺运行参数,有效减少温室气体排放量。

污水厂尾水对河流水质和底泥细菌群落的影响

污水厂的出水即尾水,其排放关系到受纳水体的水质和生态状况。分析了武汉市某污水厂尾水排放指标,采用水槽试验探究了污水厂尾水对河流水质指标和底泥细菌群落的影响。结果表明:尾水排放促进了河水中硝酸盐氮的降解,总磷去除更加稳定;尾水使河水pH值提高了0.3、电导率上升幅度55%、溶解氧降低了0.6 mg/L。尾水排放之后,底泥细菌群落的丰富度升高、多样性降低,抑制厌氧菌Anaerolineaceae和SBR1031,促进好氧菌Pseudomonas;反硝化菌Azospira、Dechloromonas、Pseudomonas、Sphingomonas增多,促进了NO_(3)^(-)-N的降解。底泥中致病菌奈瑟菌属、军团菌属、消毒残生细菌相对丰度上升。

施用堆肥污泥对土壤肥力及植物生长的影响

土地利用有望成为市政污泥处置的主要途径。本研究以好氧堆肥的市政污泥为研究对象,通过田间试验,设置不同堆肥污泥施用量:0%、30%、50%、70%、100%(堆肥污泥与土壤体积配比),研究堆肥污泥施用对土壤肥力、植物生长以及土壤重金属含量的影响。结果表明:堆肥污泥施用未造成土壤酸碱化,土壤肥力等级由三级一般土壤提升为二级肥沃土壤,土壤主要营养组分含量随污泥施用量的增加均显著提高,其中堆肥污泥添加比例为50%时土壤有机质增加1.9倍、碱解氮增加3.0倍、有效磷增加9.5倍、速效钾增加3.7倍。堆肥污泥添加比例为50%时木春菊组长势最好,添加比例为30%时鼠尾草组和高羊茅&黑麦草组长势最佳,但是不同添加比例下早樱组生长并无显著差异。尽管施用堆肥污泥会导致试验区土壤重金属含量略有升高,但远低于《城镇污水处理厂污泥处置林地用泥质》(CJ/T 362-2011)所规定的污染物指标及其限值,未造成土壤重金属污染。本研究将为堆肥污泥的土地利用提供理论依据和数据支撑。

东北地区某城镇污水处理厂碳源投加策略分析

低C/N进水条件造成的生物处理系统反硝化脱氮能力不足已成为我国污水处理厂运行面临的主要挑战。文章应用文献计量学对目前碳源投加策略进行了总结,并以东北地区某城镇污水处理厂为考察对象,结合各碳源的实际应用情况介绍了目前常用的几种主流外加碳源的优缺点,分析了甲醇、乙酸钠、葡萄糖和麦可碳4种碳源投加公式计算理论值与实际碳源投加量之间存在差异的原因,旨在为城镇污水处理厂实现经济、高效、低碳运行碳源投加策略提供技术指导。

佛山市某污水厂技改工程实例

介绍了佛山某污水处理厂技改工程的工艺流程和设计参数。在用地紧张的条件下,改造原有构筑物,新建“深度处理+超滤反渗透+浓水处理”为主体工艺的中水回用系统。实际运行结果表明,技改后满足扩容减排的政策要求,出水水质稳定达标排放,为类似污水处理厂的技改提供了相关设计经验。