• Proceedings of the Korean Environmental Sciences Society Conference
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• 2008.11a
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• pp.507-509
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• 2008

유입수 성상이 서로 다른 9개소의 하수처리장에서 발생하는 하수슬러지의 재이용 가능성에 대하여 퇴비 기준 및 부숙토 기준으로 검토하였다. (1) 공장폐수가 유입되는 하수처리장의 탈수케이크에 함유된 Cr, Cu, Pb성분은 퇴비 및 부숙토 기준치를 초과하였다. (2) 중금속의 함량에 관한 기준을 만족하는 탈수케이크는 가연분 함량이 낮으므로 직접적인 재이용은 어려울 것으로 생각된다.

• 수도
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• v.22 no.1 s.71
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• pp.82-94
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• 1995

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2006.04a
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• pp.65-66
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• 2006

• Journal of the Korean Society for Marine Environment & Energy
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• v.5 no.3
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• pp.45-53
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• 2002

This investigation is performed to prepare reducing method drained floating debris from the river This paper is present an investigation result of the marine debris characteristics that drained from korea 4 big river(han river, kum river, youngsan river, nakdong river) during July and August. A mount of floating debris different with rainfall. Short heavy rain like as 150mm/day floating debris drained lower, almost floating debris drained when a flooding cause by continuance heavy rain. Floating debris draining is not continuance, but concentrated on a flooding. All debris is do not drained ocean, a lot of debris accumulated riverside. Floating debris is drained with plant and configuration is similar with other river. But, the component ratio is different, so that, to Prepare removing method for floating debris consider that effect of plant debris.

• Journal of Korean Society of Environmental Engineers
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• v.28 no.3
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• pp.308-315
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• 2006

Since sewage characteristics are the most important factors that can affect the biological reactions in wastewater treatment plants, a detailed understanding on the characteristics and on-line measurement techniques of the influent sewage would play an important role in determining the appropriate control strategies. In this study, samples were taken at two hour intervals during 51 days from $1^{st}$ October to $21^{st}$ November 2005 from the influent gate of sewage treatment plant. Then the characteristics of sewage were investigated. It was found that the daily values of flow rate and concentrations of sewage components showed a defined profile. The highest and lowest peak values were observed during $11:00{\sim}13:00$ hours and $05:00{\sim}07:00$ hours, respectively. Also, it was shown that the concentrations of sewage components were strongly correlated with the absorbance measured at 300 nm of UV. Therefore, the objective of the paper is to develop on-line estimation technique of the concentration of each component in the sewage using accumulated profiles of sewage, absorbance, and flow rate which can be measured in real time. As a first step, regression analysis was performed using the absorbance and component concentration data. Then a neural network trained with the input of influent flow rate, absorbance, and inflow duration was used. Both methods showed remarkable accuracy in predicting the resulting concentrations of the individual components of the sewage. In case of using the neural network, the predicted value md of the measurement were 19.3 and 14.4 for TSS, 26.7 and 25.1 for TCOD, 5.4 and 4.1 for TN, and for TP, 0.45 to 0.39, respectively.

• Microbiology and Biotechnology Letters
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• v.33 no.1
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• pp.56-64
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• 2005

The occurrence and abundance of protozoa at advanced wastewater treatment plant were compared with operating parameters and effluent quality using statistical procedures. It seemed that plant operating conditions influenced the distribution of protozoa in the mixed liquor. In statistical analysis, the distribution of protozoa showed the operating condition of plant and predicted effluent quality. Once enough data concerning protozoa, operating parameters and effluent has been gathered, the operator has a valuable tool for predicting plant performance and near-future effluent quality based on microscopic examination. Plant operator manipulates operating conditions if he knows near-future effluent quality is deteriorating. Perhaps more importantly it can be used to actually control the plant to adjust the operating conditions to obtain the protozoal populations that have been shown to provide the best effluent quality.

• Journal of the Korean Society of Marine Environment & Safety
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• v.27 no.2
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• pp.295-307
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• 2021

The Korean Peninsula is surrounded on three sides by the East Sea, West Sea and South Sea which are connected to many rivers and streams, thereby facilitating easy inflow of debris from land. Furthermore, excessive debris inflow to the sea because of active fishing and various recreational activities. Debris entering the sea are weighted over time and settle in the seabed, thus, making direct monitoring of debris impossible and its collection difficult. Uncollected submerged marine debris affects the seabed ecosystem and water quality and can cause ghost fishing and ship accidents, especially due to waste net ropes and waste fishing gears. Therefore, understanding the debris distribution characteristics is necessary to assist quick collection of these debris (waste net ropes and waste fishing gears). Thus, this study conducted a survey of debris deposited in the seas of 39 ports. Furthermore, distribution characteristics and compositions of submerged marine debris were identified by a map prepared through GIS-based spatial analysis of the East Sea. Consequently, 58% of waste tires in the East Sea were concentrated in breakwaters and ship berthing facilities. Moreover, 26 % of waste plastics were distributed outside the port. Identifying the distinct distribution characteristics of submerged marine debris was difficult; however, compared with others, the distribution of waste plastics was possible outside the port. The findings of this study can serve as baseline data to assist the collection of submerged marine debris using the distribution characteristics.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.363-363
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• 2022

LID 시설에 대한 모니터링은 인력을 활용한 실강우 모니터링을 진행하고 있으나 LID 시설은 소규모 분산형시설로서 인력을 동원한 식생고사, 강우시 모니터링, 현장답사 등 꾸준한 시설확인에 한계가 있으며, LID 시설을 조성한 이후 적정한 유지관리 방법(주기, 빈도, 항목 등)을 인지하지 못하여 막힘현상, 효율저하, 식물고사 등의 문제가 발생한다. 따라서 본연구에서는 딥러닝 분석을 활용하여 강우시 강우모니터링 자료와 LID 시설 내 센서를 통해 측정된 자료를 통해 침투도랑 내 유입수 성상에 대한 예측분석을 수행하였다. 심지 내 LID 시설에 유입되는 오염물질을 예측을 위한 딥러닝 분석을 위해 과거 실강우시 모니터링 자료(TSS, COD, TN, TP)와 대기센서(대기습도, 대기온도, 강수량, 미세먼지) 데이터를 활용하여 딥러닝 모델에 대한 적용가능성 평가를 수행하였다. 측정항목에 대한 상관성 분석을 수행하였으며, 딥러닝 모델은 Tenser Flow를 이용하여 DNN(Deep Neural Network)모델을 활용하여 분석하였다. DNN 모델에 대한 MSE값은 0.31로 분석되었으며, TSS에 대한 평균 50.6mg/L로 분석되었으며, COD 평균 98.7 mg/L로 나타났다. TN의 평균 2.21 mg/L로 분석되었으며, TP 평균 0.67 mg/L로 나타났다. 상관계수분석결과 TSS는 0.53로 분석되었으며, TN과 TP의 상관계수는 0.10, 0.56으로 나타났다. COD의 상관계수는 0.63으로 TSS와 COD, TP에 대한 예측이 된 것으로 분석되었다. 딥러닝을 통한 LID 시설 내 농도변화 예측시 강우시 센서데이터 값은 조밀해야하며 오염물질 농도와 상관성이 높은 항목들에 대해 계측과 실강우 모니터링 자료를 축적하여 미래에 대한 활용성을 높여야 한다.

• 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.

• Journal of Environmental Policy
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• v.11 no.4
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• pp.85-105
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• 2012

In this paper, the energy efficiency of wastewater utilities was evaluated to explore ways to save energy via operational measures. The correlation of each wastewater characteristic parameter to energy was assessed to find a set of parameters that explained most of the variations in energy use among utilities. The results show that increases in inflow, influent COD concentration, and ratio of advanced treatment generally increased the energy use. On the other hand, increases in load factor (influentaverage flow/design flow) reduced the energy use. In the regression analysis, the energy efficiency was highest in the A2O advanced process. On the other hand, the membrane process (among the advanced processes) and the contacted aeration process (among the secondary processes) require more efforts in saving energy. However, the data base system related to energy use must be supplemented in order for more accurate analysis of energy consumption in wastewater treatment facilities. In particular, i) electricity consumption of relay pumps and, ii) energy usage per unit process, iii) pump power usage to discharge treated wastewater in a long distance, if necessary, and iv) alternative energy production and utilization status must be recorded. By utilizing the results of the analysis conducted in this study, it is possible to quantify a level of energy savings needed and establish customized energy saving measures to achieve a certain target level for benchmarking a successful case of wastewater utilities.