• 대한환경공학회지
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• 제39권4호
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• pp.201-207
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• 2017

본 연구에서는 낙동강 하류원수에 대한 응집제 주입율 자동화를 위해 stream current detector (SCD)와 charge analyzing system (CAS)의 적용성 비교 평가하였다. SCD 시스템을 이용한 경우, 원수 pH가 9.3에서 5.7로 낮아지면 pH 9.3에서 설정된 유동 전하값을 응집제 주입율로 사용할 수 없었고, pH 5.7에 맞는 유동 전하값의 재설정이 필요하였다. 원수의 pH 변화에 따른 SCD의 유동 전하값의 재설정을 하지 않을 경우, 후단의 모래여과 처리수 탁도가 증가하는 현상을 보였다. CAS 시스템의 경우는 원수 pH의 범위가 6.0~9.3의 범위일 때 polydadmac을 전하 중화제로 사용하는 것이 가능하였고, 고탁도 원수에도 poly-dadmac이 양호한 전하중화제로 평가되었다. 그러나 pH 5~11의 범위에서 polydadmac의 전하량은 거의 변화하지 않은 반면, 응집제로 사용되는 alum의 전하량은 6배 정도 차이가 발생하고, pH에 적합한 응집제 요구량을 보였다. 따라서 원수의 pH가 높은 경우는 전하 적정제로 정수장에서 사용하는 응집제를 직접 이용하는 것이 효율적이었다.

• 한국환경과학회지
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• 제1권2호
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• pp.137-144
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• 1992

Flocculation-spectrophotometry and streaming current detector( SCD ) method were investigated and compared in order to determine the optimum dosages of synthetic cationic polymers of different charge density and molecular mass for the removal of humic acid. The optimum dosage for each of the polymers was determined with the dosage at which the lowest absorbance of humic acid was shown for the formal. and was determined with the dosage required during charge neutralization of humic acid for the latter It was in good agreement between both methods and there is a strong inverse correlation between the optimum dosage and charge density of the polymers, with highly charged polymer giving the lowest optimum dosage, pointing out the importance the charge neutralization. By flocculation-spectrophotometry, it was found that the absorbance of humid acid with the amount of each of the polymers dosed, changes sharply for polymers of high charge density, but changes rather broadly for polymers of low and middle charge density, Both methods showed that a stoichiometric correlation exists between the optimum dosage of each of the cationic polymers and the negatively charged humic acid.

• 제어로봇시스템학회논문지
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• 제10권6호
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• pp.551-556
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• 2004

Coagulation process is one of the most important processes in water treatment procedures for stable and economical operation, and coagulant dosing of this process for most plants is generally determined by the jar test. However, this method does not only take a long time to analyze and get the result but also has difficulties in applying to automatic control. This paper shows the feasibility of applying neural network to control the coagulant dosing automatically in water treatment plant. To be specific, the predicted results of the neural network model is shown to be similar to that of jar test. The input variables for learning the neural network are turbidity, water temperature, pH, and alkalinity. Combining the neural network and SCD(Streaming Current Detector) for feedforward and feedback control of injecting coagulant, a rapid change of the raw water quality can be accommodated.

• Environmental Sciences Bulletin of The Korean Environmental Sciences Society
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• 제1권2호
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• pp.137-144
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• 1997

Flocculation-spectrophotometry and streaming current detector(SCD) method were investigated and compared in order to determine the optimum dosages of synthetic cationic polymers of different charge density and molecular mass for the removal of humic acid. The optimum dosage for each of the polymers was determined with the dosage at which the lowest absorbance of humic acid was shown for the former and was determined with the dosage required during charge neutralization of humic acid for the latter. It was in good agreement between both methods and there is a strong inverse correlation between the optimum dosage and charge density of the polymers, with highly charged polymer giving the lowest optimum dosage, pointing out the importance the charge neutralization. By flocculation-spectrophotometry, it was found that the absorbance of humic acid with the amount of each of the polymers dosed, changes sharply for polymers of high charge density, but changes rather broadly for polymers of low and middle charge density. Both methods showed that a stoichiometric correlation exists between the optimum dosage of each of the cationic polymers and the negatively charged humic acid.

• 상하수도학회지
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• 제24권4호
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• pp.463-474
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• 2010

In this study, chemical coagulation conditions for treating combined sewer overflow(CSO) occurred during rainy season were evaluated by jar tests with aluminum sulfate[$Al_2(SO_4)_3{\cdot}17H_2O$] and ferric chloride[$FeCl_3{\cdot}6H_2O$]. The raw domestic sewage sampled from the primary sedimentation tank at a local sewage treatment plant was filtered through $150{\mu}m$ sieve before using. Point of zero charge(PZC) for various dose of aluminum sulfate occurred at pH 5.8-6.5, while for ferric chloride occurred at pH 5.3-6.0 in term of streaming current(SC) values. Charge neutralization ability of aluminum sulfate was bigger than that of ferric chloride. Optimum pH and dose of aluminum sulfate and ferric chloride were 6.2, 0.438mM and 5.8, 0.925mM, respectively. Removal efficiencies of TCOD, turbidity, SS and TP were 75, 97, 95, 96% with aluminum sulfate and 74, 96, 98, 99% with ferric chloride at their optimum coagulation conditions. More efficient removal of SS, TP and small particles was possible with ferric chloride at optimum coagulation conditions. Both SC values and COD removal started to increase where soluble phosphorus was completely removed.

• 대한환경공학회지
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• 제30권10호
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• pp.1047-1053
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• 2008

돈분폐수 처리수의 색도를 제거하기 위해 최적의 응집 조건에 대하여 평가하였다. 유출수의 용존 유기 탄소 농도는 227.3 mg/L, 색도는 2,430 CU, 탁도는 22.1 NTU, 그리고 UV$_{254}$는 3.7 cm$^{-1}$이었다. 유출수의 소수성 유기물은 55.3%, 반친수성 유기물은 17.4%, 그리고 친수성 유기물은 27.3%로 세분화하였다. 또한, 겉보기 분자량 분포는 0.5 K 이하, 0.5$\sim$1 K, 1$\sim$10 K, 10$\sim$30 K 및 30 K 이상은 각각 74.2%, 7.3%, 5.5%, 7.1% 및 5.9%이었다. 최적의 pH 및 응집제 주입량을 결정하기 위해 유동전류계를 사용하였다. 황산알루미늄과 염화 제 2철의 최적 응집제 주입량 및 pH는 각각 5.84 mM, pH는 5.3이며, 9.25 mM, pH는 5.0이었다. 최적의 응집 조건에서 황산알루미늄과 염화 제 2철은 각각 91.9%와 98.7%로 높은 색도 제거 효율을 얻었다. 생물학적 처리를 거친 돈분폐수는 화학적인 응집으로 색도제거에 좋은 성과를 보여주었다.