• Journal of Korean Society of Water and Wastewater
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• v.20 no.6
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• pp.789-797
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• 2006

This study was conducted to establish the refined model for prediction of flocculation/sedimentation efficiency in factual drinking water treatment plants using model tree technique. In order to carry out machine leaning for determining each linear model, five parameters; time, coagulant dose, raw water turbidity, SCD and conductivity, which were measured and collected from the field (K_DWTP), were selected and used. The existing analytical models developed by previous researchers were used only to examine closely the mechanism of flocculation rather than to apply it for practical purpose. The refined model established using model tree technique in this study could predict the factual sedimentation efficiency accurately (below 9% of average absolute error). Also, in aspect of engineering convenience, without any additional manipulation of parameters, it can be applied to practical works.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.215-215
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• 2022

현재 국내 정수시설은 정수공정별 감시제어-데이터수집시스템(SCADA: Supervisory Control And Data Acquisition)에 기반하여 감시제어 및 모니터링 위주로 운영·관리를 실시하고 있다. 또한, 주요 핵심 공정인 응집제 약품투입, 소독 및 여과 설비 공정의 운영방식에 있어서 선험적 운영지식에 의한 방식으로 운영되고 있기 때문에 지속적인 안정적 운영을 위해서는 표준적이고 체계적인 운영관리 수단이 필요하다. 국외에서는 다양한 운영 조건에 기반한 정수처리 효율을 예측할 수 있는 모의(simulation) 도구의 개발을 통해 기존 운영되고 있는 정수장의 효율을 예측하는 데 활용하고 있는 실정이다. 본 논문은 실시간 운영관리가 가능한 기반을 구축하여 정수처리의 효율을 예측할 수 있는 시뮬레이터 개발을 통해 정수처리 공정별 기본 및 조합의 공정 시뮬레이션 모의 모듈 기술을 개발하기 위한 연구를 수행하였다. 또한 개발된 기술의 실증 운영을 통해 검증된 모듈을 반영한 정수장 시뮬레이터 시스템을 개발을 위한 연구를 수행하였다. 정수장 시뮬레이터는 수질정보, 물질수지, 수두손실등의 운영현황 데이터를 수집하는 기능, 착수-혼화-응집-침전-여과-소독 등 개별 공정별 주요 운전변수의 모니터링 및 제어를 통한 운영관리 기능, 원수 수질변화에 신속한 대응을 위한 정수처리 공정제어 의사결정지원 기능, 그리고 온라인 관망해석을 포함한 정수처리 전(단위)공정 시뮬레이터 기능 및 공정별 운영인자 최적화 기능 등으로 구성되어 있다. 현재 운영 중인 정수장의 공정별 운전 상태를 평가·관리하여 정수공정 운영 안정화 체계를 확보하고, 정수장의 유량과 수질의 갑작스런 변화에 따른 모의를 통한 수질예측으로 실시간 정수장 최적운영관리가 가능하다. 또한 원수 성상에 따른 적정 공정운영 자동화로 운영비 절감 및 효율적 인력 활용으로 정수장 운영 효율성을 제고함으로써 지속적이고 안정적인 정수장 운영 체계를 확보할 수 있다.

• Journal of Korean Society of Environmental Engineers
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• v.33 no.12
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• pp.893-899
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• 2011

The occurrence of THMs, the characteristics of THMs formation and removal of THMs were investigated. The treatment train of M plant consists of prechlorination, flocculation, sedimentation, filtration, ozonation, activated carbon and postchlorination. The study of THM formation indicated that about 92% of the THMs were formed in the flocculation/sedimentation/filtration process which affected by prechlorination. The formation of THMs was highly correlated to $KMnO_4$ consumption and water temperature in raw water. The regression model had showed 0.72~0.80 of determination coefficient so it could be used to predict the amount of THMs formation in finished water. Compared to the prechlorination process, the THMs formation was reduced in interchlorination process. With the addition of PAC, fewer THMs were formed in PAC-chlorination process than in chlorination-PAC process. Our results showed that air stripping could be used to remove the existing THMs.

• Journal of Korean Society of Environmental Engineers
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• v.36 no.1
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• pp.29-34
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• 2014

This study was conducted to investigate removal characteristics for Synedra sp. and filter run time (FRT) according to the cell length in the Nakdong River. When used alone flocculent, the removal efficiency for Synedra tenera (around $100{\mu}m$) was constant with 90.9~94.4%, while Synedra acus (around $300{\mu}m$) had the lower removal efficiency as 60~70%. $PACS_2$ and PAC showed 5~6% higher removal for S. acus than others (HiB and LAS). When added coagulant aid, loess had no effect and also needed more amount of flocculent. Sodium Silicate increased the removal rate by max 10.6%. On the other hand, 2.5 mg/L of Polyamine showed 96.9% removal efficiency for S. acus increasing up to 25% more than $PACS_2$ alone. In the effect of water temperature, the removal for S. acus at $15^{\circ}C$ were 6% higher than at $4^{\circ}C$. There was no significant correlation between the removal efficiencys of turbidity and S. acus. The results of this study was similar to the actual water treatment process's removal characteristics for Synedra sp. depending on the cell length and temperature. In the actual process, the numbers of Synedra in settled water was established natural logarithm function with the filter run time (FRT), so we can predict FRT as Synedra numbers.

• Journal of Korean Society on Water Environment
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• v.39 no.6
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• pp.465-474
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• 2023

The chemical composition and molecular weight characteristics of dissolved organic matter (DOM) exert a profound influence on the efficiency of organic matter removal in water treatment systems, acting as efficiency predictive indicators. This research evaluated the primary chemical and molecular weight properties of DOM derived from diverse sources, including rivers, lakes, and biomasses, and assessed their relationship with the efficiency of coagulation/flocculation treatments. Dissolved organic carbon (DOC) removal efficiency through coagulation/flocculation exhibited significant correlations with DOM's hydrophobic distribution, the ratio of humic-like to protein-like fluorescence, and the molecular weight associated with humic substances (HS). These findings suggest that the DOC removal rate in coagulation/flocculation processes is enhanced by a higher presence of HS in DOM, an increased influence of externally sourced DOM, and more presence of high molecular weight compounds. The results of this study further posit that the efficacy of water treatment processes can be more accurately predicted when considering multiple DOM characteristics rather than relying on a singular trait. Based on major results from this study, a predictive model for DOC removal efficiency by coagulation/flocculation was formulated as: 24.3 - 7.83 × (fluorescence index) + 0.089 × (hydrophilic distribution) + 0.102 × (HS molecular weight). This proposed model, coupled with supplementary monitoring of influent organic matter, has the potential to enhance the design and predictive accuracy for coagulation/flocculation treatments targeting DOC removal in future applications.