• 유기물자원화
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• 제20권3호
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• pp.52-59
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• 2012

처리공정별 연계처리수질을 검토한 결과 생물학적처리만 거친 생물반응조 처리수의 경우 연계부하율이 $COD_{Mn}$의 경우 1.67%(설계수질 기준), 2.59%(운영수질 기준), T-P의 경우 3.69%(설계수질 기준), 7.67%(운영수질 기준)로 다소 높게 나타났으나 하수처리장 운영에 미치는 영향은 거의 없을 것으로 판단된다. 또한, 고도처리공정인 산화부상분리 처리수 및 생물여과 처리수의 경우 연계부하율은 1% 내외로 고도처리설비 설치 시 과대 설비설치의 우려가 있다. 따라서 S하수처리장의 경제성 및 안정적인 운영을 고려할 경우 생물학적처리인 생물반응조를 거친 처리수를 연계하는 것이 바람직할 것으로 판단된다.

• 환경위생공학
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• 제7권2호
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• pp.37-52
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• 1992

Since the first sewage treatment plant was constructed in 1976, the sewerage systems of Korea have been rapidly expanded. As of the end of 1991, 22 sewage treatment plants with total capacity of 5.4 million tons/day are in operation which is equivalent of 3395 total daily sewage generation. Total extension of sewer 39.534 km in 1990 which is 55% of the target extension for the year 2001. However, the most sewage treatment plants employ activated sludge process which may not be suitable for medium and/or small scale plants. The poor existing sewer systems do not effectively collect and transport sewage to adversely affect the function of sewage treatment plant. To select the appropriate treatment system, the cities are classified into 3 categories such as large and medium size inland cities, small size cities and coastal cities. Considering the criteria suggested during this study, appropriate treatment processes were selected for each category. Conventional activated sludge process and step aeration process were found to be the most appropriate for big inland cities while biological nutrient removal processes should be considered for the cities discharge the effluent to lakes or reservoirs. RBC or Oxidation Ditch process might be appropriate for the medium size cities while several processes which do not require skilled operation and maintenance were suggested for the small cities. Ocean discharge after primary treatment can be considered for some east coast cities, Appropriate methodology to rehabilitate the existing sewers and strategy to convert combined sewer system to separate sewer system were proposed. This paper also include the appropriate management system for industrial wastewater, sludge and nightsoil.

• 한국물환경학회지
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• 제27권2호
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• pp.200-209
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• 2011

The purpose of the study is to optimally manage sewage treatment plant with analysis of phosphorus contribution and improvement of water quality contributing rate in the effect of inflowing point of effluent and Pal-Dang lake after reducing T-P discharge from large scale public sewage treatment plant at upstream of Pal-Dang lake. Also, this study, for enforcement of T-P in effluent, plans optimal management of effluent T-P through examining propriety of environmental, technological, and economical aspect such as water quality standard of domestic and foreign T-P and related policy. In regarding optimal management of T-P discharged from public sewage treatment plant located in upstream of Pal-Dang lake, the study drew following conclusions. With the optimal management of public sewage treatment plant, it showed that a pollution level became higher in the order of Sumgang E in South-Han river, C in Dalcheon, B1 B2, A in North-Han river, and J in Kyungancheon, and it is required reduction of T-P first. The highest value in analysis of benefit-costs from sewage treatment plant in the selected research area was Kyungan B, and the others are with the order of Jojong A, Bokha A, Kyungan A, and Yanghwa A. With result of this study, all 14 areas are required more enforced phosphorus treatment. The study resulted that the most top priority areas were Hangang F, Sumgang B, and Gyungan A, top priority areas were Bokha A, Dalcheon B, and Cheongmi A, priority areas were Hangang E, Heukcheon A, Gyungan B, and Jojong A, and potential areas were Sumgang A, Yanghwa A, Dalcheon A, and Hangang D. It seems to be appropriate to apply 0.2 mg/L of T-P treatment for water supply source reservation, 0.5 mg/L for the other areas by locally, and 0.2~0.5 mg/L for biological nitrogen phosphorus treatment method and 0.5~1 mg/L for Conventional Activated Sludge by technologically. Also, it may be appropriate to apply 0.2 mg/L for the most top priority area(I), 0.3 mg/L for the top priority area(II), 0.4 mg/L for priority area(III), and 0.5 mg/L for potential area(IV) by the separation of priority area.

• 한국환경과학회지
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• 제11권6호
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• pp.537-541
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• 2002

This study aimed to obtain the relative formula with the unit treatment cost according to the treatment of a sewage plant in the service area under highway. The following results were obtained. The correlative formula connected to amount of sewage(Q)generation was as follows ; between an annual amount of sale(C) showed Q=19.113$.$C$\^$0.9294/, and between the number of users(P) showed Q=2${\times}$10$\^$-8/ $.$P$^2$- 0.0298$.$P + 75,666. The correlative formula connected to the treatment cost was as follows , according to the amount of sewage generation showed S= 3${\times}$10$\^$-6/$.$Q 0-0.2266$.$Q+29,895, according to the elimination of BOD(E) showed S=6${\times}$10$\^$-5/$.$E$^2$-0.6717$.$E + 27,744, according to the annual amount of sale showed S=0.0005 C$^2$-4.8013$.$C + 35,118, with the number, of persons(P) using the service area showed S= 2${\times}$10$\^$-8/ $.$P$^2$- 0.046$.$P + 48,803.

• Environmental Engineering Research
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• 제19권1호
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• pp.31-36
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• 2014

In this study, the influence of the control and operational parameters within a sewage treatment plant were reviewed by performing multiple regression analysis on the effluent quality of the sewage treatment. The data used for this review are based on the actual data from a sewage treatment plant using the media process within the year 2012. The prediction models of chemical oxygen demand ($COD_{Mn}$) and total nitrogen (T-N) within the effluent of the 2nd settling tank based on the multiple regression analysis yielded the prediction accuracy measurements of 0.93 and 0.84, respectively; and it was concluded that the model was accurately predicting the variances of the actual observed values. If the data on the energy spent on each operating condition can be collected, then the operating parameter that conserves energy without violating the effluent quality standards of COD and T-N can be determined using the regression model and the standardized regression coefficients. These results can provide appropriate operation guidelines to conserve energy to the operators at sewage treatment plants that consume a lot of energy.

• 대한토목학회논문집
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• 제42권4호
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• pp.493-499
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• 2022

하수처리장의 방류수 수질기준이 강화되고 있으며, 이에 따라 하수처리장 시설도 고도화되고 있다. 또한 하수처리장의 방류수질은 높은 수준으로 유지되어야 하며, 이에 따라 효율적인 하수처리장 운영이 매우 중요한 이슈로 대두되고 있다. 본 연구에서는 하수처리장의 Blower Control Loigc 개발을 위해, 하수도 시설기준의 기본 송풍량 산정 방식을 기반으로 유입수질에 따른 필요 산소량 및 송풍량을 산정하였다. 본 연구를 통해 A 하수처리장의 실제 4월 수질 데이터를 적용하여 송풍량을 산정한 결과, 평균적으로 약 12 %의 송풍량이 절감이 될 수 있다는 것을 확인하였다. 본 연구에서 산정한 결과에 따라 Blower Control Logic을 개발하여 실제 하수처리장에 적용하게 된다면, 유입수질을 기반으로 송풍량 제어가 가능함에 따라 운전자의 경험에 의존하고 있는 기존의 하수처리 운영방식에서 벗어나 하수처리장 자율제어가 가능할 것으로 판단된다. 또한, 송풍량 및 전력비 절감이 이루어진 효율적인 하수처리장 운영을 기대 할 수 있으며, 이를 통해 불필요한 에너지 및 탄소 절감에 기여할 수 있을 것이라고 판단된다.

• 한국습지학회지
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• 제24권1호
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• pp.38-43
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• 2022

스마트(Smart) 하수처리장은 하수처리 전 과정에 대한 ICT 기반의 실시간 모니터링, 원격 제어 관리 및 지능화 체계를 구축하여 안전하고 깨끗한 물환경을 조성하는 것을 의미한다. 이러한 스마트 하수처리장의 핵심이 되는 기술이 계측기를 활용한 운전제어 기술이라 할 수 있다. 본 연구진은 국내에서 진행중인 하수처리장 지능화 연구사업들을 참고하여 지능화사업 구축 시 필요한 운전제어 기술들을 분석하고 제시하였다. 분석 결과 규모별 제어, 반류수 제어, 연계처리수 제어, 약품량 제어, 동절기 운영제어, 총 유기탄소 제어까지 총 6개의 제거 기술에 대해 제시하였다. 규모별로는 소규모와 중규모 대규모로 구분할 수 있는 기준을 제시하였고, 반류수 제어의 경우 반류수를 관리할 수 있는 수질 및 유량 센서의 위치를 제시하였다. 연계처리수 제어의 경우 연계처리수가 하수처리장에 미치는 영향과 제어 지점을 제시하였으며, 약품주입량 제어의 경우 지능형 하수처리장 도입에 따라 약품 주입량을 최적화할 수 있는 시스템을 제시하였다. 동절기 운영의 경우 수온 저하에 따른 질산화 저하를 고려하였을 때 제어해야 하는 센서와 펌프를 제시하였다. 총 유기탄소 제어의 경우 향후 오염총량제를 고려한 연동 시스템을 제시하였다. 이러한 운전제어 시나리오들은 향후 지능형 하수처리 알고리즘과 시나리오에 사용될 기초자료로 활용될 수 있을 것으로 판단된다.

• 전기학회논문지
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• 제64권10호
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• pp.1469-1478
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• 2015

In this paper, The methodology of Type-2 fuzzy set-based Radial Basis Function Neural Network(T2RBFNN) is proposed for Sewage Treatment Process and the simulator is developed for application to the real-world sewage treatment plant by using the proposed model. The proposed model has robust characteristic than conventional RBFNN. architecture of network consist of three layers such as input layer, hidden layer and output layer of RBFNN, and Type-2 fuzzy set is applied to receptive field in contrast with conventional radial basis function. In addition, the connection weights of the proposed model are defined as linear polynomial function, and then are learned through Back-Propagation(BP). Type reduction is carried out by using Karnik and Mendel(KM) algorithm between hidden layer and output layer. Sewage treatment data obtained from real-world sewage treatment plant is employed to evaluate performance of the proposed model, and their results are analyzed as well as compared with those of conventional RBFNN.

• Journal of Ecology and Environment
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• 제41권11호
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• pp.318-327
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• 2017

Background: A typical sewage treatment plant is designed for organic and nutrient removal from municipal sewage water and not targeted to eliminate micropollutants such as pesticides, pharmaceuticals, and nano-sized metals which become a big concern for sustainable human and ecological system and are mainly discharged from sewage treatment plant. Therefore, despite contaminant removal by wastewater treatment processes, there are still remaining environmental risks by untreated pollutants in STP (sewage treatment plant) effluents. This study performed aquatic toxicity tests of raw wastewater and treated effluents in two sewage treatment plants to evaluate toxicity reduction by wastewater treatment process and analyze concentration of contaminants to reveal potential toxic factors in STP effluents. Methods: Water samples were collected from each treatment steps of two STPs, and acute and chronic toxicity tests were conducted following USEPA (United States Environmental Protection Agency) and OECD (Organization for Economic Cooperation and Development) guidelines. Endpoints were immobility for mortality and reproduction effect for estrogenicity. Results: Acute $EC_{50}s$ (median effective concentration) of influents for Seungki (SK) and Jungnang (JN) STPs are $54.13{\pm}32.64%$ and $30.38{\pm}24.96%$, respectively, and reduced to $96.49{\pm}7.84%$ and 100%. Acute toxicity reduction was clearly correlated with SS (suspended solids) concentration because of filter feeding characteristics of test organisms. Chronic toxicity tests revealed that lethal effect was reduced and low concentration of influents showed higher number of neonates. However, toxicity reduction was not related to nutrient removal. Fecundity effect positively increased in treated wastewater compared to that in raw wastewater, and no significant differences were observed compared to the control group in JN final effluent implying potential effects of estrogenic compounds in the STP effluents. Conclusions: Conventional wastewater treatment process reduced some organics and nutritional compounds from wastewater, and it results in toxicity reduction in lethal effect and positive reproductive effect but not showing correlation. Unknown estrogenic compounds could be a reason causing the increase of brood size. This study suggests that pharmaceutical residues and nanoparticles in STP effluents are one of the major micropollutants and underline as one of estrogenic effect factors.

• 환경영향평가
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• 제14권5호
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• pp.263-273
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• 2005

In this study, the major emission procedures and emission characteristics were identified at the site of sewage treatment plant which is one of the major sources of ammonia. At the same time the emission factors and emission rates were estimated. In order to calculate the emission flux, we used a Dynamic Flux Chamber(DFC), which is found to be a proper sampling devise for area sources such as sewage treatment plant. It was found that the most stable sampling condition was when the stirrer's speed of DFC was 120RPM, and it would be the best time to take a sample 60 minutes later after setting the chamber. The relatively higher flux was shown in Autumn compared to summer and winter. Annual ammonia emission rates procedures were calculated as $906.32{\mu}g/activity-ton$, $1,114.72{\mu}g/activity-ton$ and $437.53{\mu}g/activity-ton$ each at the primary settling basin, aeration basin and the final settling basin, respectively. The ammonia emission rate the highest at in the aeration basin according to this test. This results was due to that the surface of aeration basin or the final settling basin is relatively wider than the primary settling basin.