• Title/Summary/Keyword: Wastewater treatment plants

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Estimate of $CH_4$ Emission Factors in Municipal Wastewater Treatment Plants (하수와 소화슬러지의 $CH_4$가스 배출원단위 산정에 관한 연구)

  • Yang, Hyung-Jae;Park, Jung-Min
    • Journal of environmental and Sanitary engineering
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    • v.23 no.3
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    • pp.39-46
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    • 2008
  • In order to study the estimate of $CH_4$ emission factors in the municipal wastewater treatment plants, the active sludge process, 5-stage process, Denipho process, and SBR process were investigated. When active sludge process, 5-stage process, and Denipho process were used in wastewater treatment plant, the $CH_4$ emission factors were 2.88, 1.61, and 0.57 g-$CH_4/kg$-BOD, respectively. On the other hand, in the case of SBR process, it was 4.14 g-$CH_4/kg$-BOD. These results indicate that SBR process was effective for $CH_4$ emission in municipal wastewater treatment plants. Using the above processes, the methane emission factor and amount of waste water sludge were $4.78m^3/t$ and $12,204,506m^3/yr$, respectively. The remove of BOD was a range of $93.91{\sim}98.63%$.

Analysis of Attached Algae and Microbial Community Structure in Sedimentation Basin of Water and Wastewater Treatment Plant (정수 및 하수처리공정 중 침전지 부착조류 및 미생물 군집구조 해석)

  • Lim, Byung-Ran;Ahn, Kyu-Hong;Song, Kyung-Gun;Park, Yu-Jung;Jun, Dae-Young
    • Journal of Korean Society of Water and Wastewater
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    • v.19 no.1
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    • pp.61-67
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    • 2005
  • The objective of this study was to investigate community structure of attached algae and microbes in sedimentation basin of water and wastewater treatment plants by using respiratory quinone profile. There was an evident difference, in microbial community structure and attached algae species, between inclination plate settler and drainage canal in the sedimentation basin. The algae was composed of species in following order; Chlorophyceae>Bascillariophyceae>Cyanophyceae. The dominant quinone types of attached microorganisms in the wastewater treatment plant were plastoquinone (PQ)-9, vitamin(V)K-1 followed by UQ-8, but those for water treatment plant were VK-1, PQ-9 followed by UQ-8. These results suggests that nutrients, seasons and material of sedimentation basin have notable influence on composition of attached algae and microbial community structure in water and wastewater treatment plants.

Survey of the Secondary Effluents from Municipal Wastewater Treatment Plants in Korea (우리나라 하수처리장 방류수 수질현황 및 특성)

  • Kim, Youngchul;An, Ik-Sung;Kang, Min-Gi
    • Journal of Korean Society on Water Environment
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    • v.21 no.2
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    • pp.158-168
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    • 2005
  • In this study, the discharging effluents from have been 9 municipal wastewater treatment plants surveyed for 1 year-period. Statistics including probability distribution, cumulative occurrence concentration and other statistical parameters were presented. In addition, treatment performance and its stability were also discussed. Most of the plants, have an operational problem of high soluble organic content in the secondary effluent which may be associated with the integrated treatment of human and livestock manures. Nitrogen concentration in the effluents were usually higher during the period of summer and winter. It was found that this is mainly due to lack of the proper C/N ratio during the summer, or/and the effects of low temperature and less dilution by dry weather during the winter. Phosphorus concentration is sharply increased in June. Discussion with plant operators told that it is due to the dissolution of phosphate from the sludge accumulated in the primary settling tanks from the early spring to june. During this period, usually, sludge treatment line is highly overloaded with flush-outs of the sediments also stored in the bottom of combined sewer due to the low flow during winter season. Most of the plants can meet new effluent discharge limits of the nitrogen and phosphorus, and total coliform without further treatment.

The importance of applying an appropriate approach to modelling wastewater treatment plants

  • Dzubur, Alma;Serdarevic, Amra
    • Coupled systems mechanics
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    • v.11 no.2
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    • pp.121-132
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    • 2022
  • Wastewater treatment plants (WWTPs) are designed and built to remove contaminants from wastewater. WWTPs are composed of various facilities equipped with hydro-mechanical and electrical equipment. This paper presents a comparison of two different approaches for WWTPs modelling. Static modelling is suitable for determining the dimensions of facilities and equipment capacity. The special significance of this approach is for the design of new plants, i.e., when a very small number of input data on the quantities and composition of the influent wastewater is available. Dynamic modelling is expensive, time consuming and requires great expertise in the use of simulators, models and very good understanding of the treatment processes. Also, dynamic modelling is very important to use for optimization, consideration of future scenarios and also possible scenarios on the plant. The comparison of two approaches was made on the input data from the biggest and most important plant in Bosnia and Herzegovina (B&H)-WWTP Butila (Sarajevo). The main idea is to show the differences between two demanding accesses. It is important to know how to apply an adequate approach to research and solve the set task. The II phase of the plant Butila, which includes the removal of nutrients, is planned in several years and therefore the importance of research has increased.

Daily influent variation for dynamic modeling of wastewater treatment plants

  • Dzubur, Alma;Serdarevic, Amra
    • Coupled systems mechanics
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    • v.9 no.2
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    • pp.111-123
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    • 2020
  • Wastewater treatment plants (WWTPs) with activated sludge system are widely used throughout the most common technologies in the world. Most treatment plants require optimization of certain treatment processes using dynamic modeling. A lot of examples of dynamic simulations require reliable data base of diurnal variation of the inflow and typical concentrations of parameters such as Chemical Oxygen Demand (COD), Total Kjeldahl Nitrogen (TKN), etc. Such detailed data are not available, which leads to problemsin the application of dynamic simulations. In many examples of plants, continuous flow measurements are only performed after the primary clarifier, whereas measurements from influent to the plant are missing, as is the case with the examples in this paper. In some cases, a simpler, faster and cheaper way can be applied to determine influent variations, such as the "HSG-Sim" method ("Hochschulgruppe Simulation"). "Hochschulgruppe Simulation" is a group of researchers from Germany, Austria, Switzerland, Luxembourg, Netherlands and Poland (see http://www.hsgsim.org). This paper presents a model for generating daily variations of inflow and concentration of municipal wastewater quality parameters, applied to several existing WWTPs in Bosnia and Herzegovina (B&H). The main goal of the applied method is to generate realistic influent data of the existing plants in B&H, in terms of flow and quality, without any prior comprehensive survey and measurements at the site. The examples of plants show the influence of overflow facilities on the dynamics of input flow and quality of wastewater, and a strong influence of the problems of the sewerage systems.

Wastewater Treatment Plant Data Analysis Using Neural Network (신경망 분석을 활용한 하수처리장 데이터 분석 기법 연구)

  • Seo, Jeong-sig;Kim, Tae-wook;Lee, Hae-kag;Youn, Jong-ho
    • Journal of Environmental Science International
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    • v.31 no.7
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    • pp.555-567
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    • 2022
  • With the introduction of the tele-monitoring system (TMS) in South Korea, monitoring of the concentration of pollutants discharged from nationwide water quality TMS attachments is possible. In addition, the Ministry of Environment is implementing a smart sewage system program that combines ICT technology with wastewater treatment plants. Thus, many institutions are adopting the automatic operation technique which uses process operation factors and TMS data of sewage treatment plants. As a part of the preliminary study, a multilayer perceptron (MLP) analysis method was applied to TMS data to identify predictability degree. TMS data were designated as independent variables, and each pollutant was considered as an independent variables. To verify the validity of the prediction, root mean square error analysis was conducted. TMS data from two public sewage treatment plants in Chungnam were used. The values of RMSE in SS, T-N, and COD predictions (excluding T-P) in treatment plant A showed an error range of 10%, and in the case of treatment plant B, all items showed an error exceeding 20%. If the total amount of data used MLP analysis increases, the predictability of MLP analysis is expected to increase further.

Improvement of Sewerage Treatment System (하수도 업무추진체계 개선)

  • Lee, Chan-Hui
    • 수도
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    • v.24 no.5 s.86
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    • pp.5-15
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    • 1997
  • This year the Ministry of Environment(MOE) made a fifth amendment to the Sewerage Act, which was enacted in August 1966. The first objective of this amendment is to introduce small public sewerage system that is designed to treat wastewater produced in rural areas. Before small public sewerage system was introduced to the Act through this amendment, only urban areas were covered by public sewerage system. Because small sewerage system was introduced, wastewater generated in urban areas as well as rural areas can now be treated by public sewage treatment plants. In addition to this, some authorities on sewerage affairs were moved from the MOE to local governments by this amendment in order to enhance the power and responsibility of local governments in relation to sewerage affairs. Also, this amendment enabled local governments to entrust the authority to establish and manage sewage treatment plants to private companies, and enabled the MOE to organize an advisory committee on sewerage to review economic and technical aspects ofsewage treatment plants. This amendment went into effect September 8, 1997.

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Forecast of Influent Characteristics in Wastewater Treatment Plant with Time Series Model (시계열모델을 이용한 하수처리장 유입수 성상 예측)

  • Kim, Byung-Goon;Moon, Yong-Taik;Kim, Hong-Suck;Kim, Jong-Rack
    • Journal of Korean Society of Water and Wastewater
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    • v.21 no.6
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    • pp.701-707
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    • 2007
  • The information on the incoming load to wastewater treatment plants is not often available to apply to evaluate effects of control actions on the field plant. In this study, a time series model was developed to forecast influent flow rate, BOD, COD, SS, TN and TP concentrations using field operating data. The developed time series model could predict 1 day ahead forecasting results accurately. The coefficient of determination between measured data and 1 day ahead forecasting results has a range from 0.8898 to 0.9971. So, the corelation is relatively high. We made forecasting program based on the time series model developed and hope that the program will assist the operators in the stable operation in wastewater treatment plants.

Development of a disaster index for quantifying damages to wastewater treatment systems by natural disasters (하수처리시설의 자연 재해 영향 정량화 지수 개발 연구)

  • Park, Jungsu;Park, Jae-Hyeoung;Choi, June-Seok;Heo, Tae-Young
    • Journal of Korean Society of Water and Wastewater
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    • v.35 no.1
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    • pp.53-61
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    • 2021
  • The quantified analysis of damages to wastewater treatment plants by natural disasters is essential to maintain the stability of wastewater treatment systems. However, studies on the quantified analysis of natural disaster effects on wastewater treatment systems are very rare. In this study, a total disaster index (DI) was developed to quantify the various damages to wastewater treatment systems from natural disasters using two statistical methods (i.e., AHP: analytic hierarchy process and PCA: principal component analysis). Typhoons, heavy rain, and earthquakes are considered as three major natural disasters for the development of the DI. A total of 15 input variables from public open-source data (e.g., statistical yearbook of wastewater treatment system, meteorological data and financial status in local governments) were used for the development of a DI for 199 wastewater treatment plants in Korea. The total DI was calculated from the weighted sum of the disaster indices of the three natural disasters (i.e., TI for typhoon, RI for heavy rain, and EI for earthquake). The three disaster indices of each natural disaster were determined from four components, such as possibility of occurrence and expected damages. The relative weights of the four components to calculate the disaster indices (TI, RI and EI) for each of the three natural disasters were also determined from AHP. PCA was used to determine the relative weights of the input variables to calculate the four components. The relative weights of TI, RI and EI to calculate total DI were determined as 0.547, 0.306, and 0.147 respectively.