• 제목/요약/키워드: Disinfection model

검색결과 79건 처리시간 0.027초

Removal of haloacetonitrile by adsorption on thiol-functionalized mesoporous composites based on natural rubber and hexagonal mesoporous silica

  • Krueyai, Yaowalak;Punyapalakul, Patiparn;Wongrueng, Aunnop
    • Environmental Engineering Research
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    • 제20권4호
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    • pp.342-346
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    • 2015
  • Haloacetonitriles (HANs) are nitrogenous disinfection by-products (DBPs) that have been reported to have a higher toxicity than the other groups of DBPs. The adsorption process is mostly used to remove HANs in aqueous solutions. Functionalized composite materials tend to be effective adsorbents due to their hydrophobicity and specific adsorptive mechanism. In this study, the removal of dichloroacetonitrile (DCAN) from tap water by adsorption on thiol-functionalized mesoporous composites made from natural rubber (NR) and hexagonal mesoporous silica (HMS-SH) was investigated. Fourier-transform infrared spectroscopy (FTIR) results revealed that the thiol group of NR/HMS was covered with NR molecules. X-ray diffraction (XRD) analysis indicated an expansion of the hexagonal unit cell. Adsorption kinetic and isotherm models were used to determine the adsorption mechanisms and the experiments revealed that NR/HMS-SH had a higher DCAN adsorption capacity than powered activated carbon (PAC). NR/HMS-SH adsorption reached equilibrium after 12 hours and its adsorption kinetics fit well with a pseudo-second-order model. A linear model was found to fit well with the DCAN adsorption isotherm at a low concentration level.

광학모델을 이용한 자외선 접촉조 최적 설계에 관한 연구 (A Study on Optimal Design of UV Contactor using an Optical Radiation Model)

  • 최영균;김두일;김성홍
    • 한국물환경학회지
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    • 제25권4호
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    • pp.547-552
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    • 2009
  • Because of refractory property of light, the travel path of UV light becomes longer than the straight line and shorter solely in water as UV light passes sequentially through air, quartz and water. Note that water significantly absorbs UV light. Hence, UV intensity shall be estimated to be lower when refraction is neglected than it is considered. Reflection is also critical for the design of UV radiation system. While the reflection at the interface of air and quartz is low enough to ignore, it is too high to be ignored at the interface of quartz and water. Assuming constant power, smaller length to width ratio of UV reactor is beneficial and single-lamp system is preferred to multi-lamps. Under the given cross section, optimal lamp positions could be decided. For example of an elliptical reactor with dual lamps, the optimal lamp locations shall be the 1/3 and 2/3 position of the longer axis.

광유도 ROS 발생장치의 세척용수 중 식중독 세균에 대한 불활성화 효과 (Effect of Light-Induced ROS Generation Unit on Inactivation of Foodborne Pathogenic Bacteria in Water)

  • 최재혁;김다운;정규석;노은정;류경열;류재기
    • 한국식품위생안전성학회지
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    • 제34권6호
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    • pp.583-590
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    • 2019
  • 본 연구는 기존 기초 연구를 통해 효과가 확인된 '광에너지유도 활성산소'를 이용하여 세척용수를 소독할 수 있는 신개념의 순환형 물 소독 시스템에 대해 실증하는 것이다. 다양한 형태의 감광제 이용 광유도 ROS 발생장치를 이용하여 여러 종류의 병원성 세균을 1시간안에 3 log CFU/mL 이상의 밀도를 감소시키는 조건을 탐구하였다. PS-bead이용 광유도 ROS 발생장치의 밀도 감소 효과에 미치는 주요 요인을 분석한 결과, 세균의 종류에 따라 ROS에 대한 밀도 감소효과가 서로 상이 하였다. B. cereus와 P. carotovorum subsp. carotovorum에 대한 밀도 감소효과는 높았으나 대장균 등 식중독 세균들에 대한 밀도 감소 효과는 상대적으로 낮았다. 순환형 물 소독시스템에서 유속은 유속이 빨라질 수록, 초기 세균밀도가 낮을수록 밀도 감소효과가 증가하는 경향을 보였다. bead의 양이 증가함에 따라 밀도 감소 효과는 일부 대상세균에서 지수적으로 증가함을 알 수 있었다. 싱글 유닛 두 개를 연결한 더블원통유닛3280은 B. cereus 나 P. carotovorum subsp. carotovorum에 대한 실험에서 30 분 안에 약 3 log CFU/mL 이상의 균을 완전히 살균할 수 있었다.

배.급수관망의 잔류염소 확보를 위한 적정 재염소 주입량 산정 및 효과분석 (Computing the Dosage and Analysing the Effect of Optimal Rechlorination for Adequate Residual Chlorine in Water Distribution System)

  • 김도환;이두진;김경필;배철호;주혜은
    • 대한환경공학회지
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    • 제32권10호
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    • pp.916-927
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    • 2010
  • 일반적으로 정수처리 공정에서 염소에 의한 소독공정은 수인성 질병을 억제하고 상수도관망에서 미생물의 재성장을 억제하는 목적으로 사용되고 있다. 그러나 염소소독은 수중의 유기물과 반응하여 소독부산물(Disinfection By-products; DBPs) 과 같은 발암성 물질을 생성함으로 적절한 염소 주입이 필요하고 최근에는 관말지역에서의 잔류염소 확보를 위해 상수관로 나 배수지 등에서 재염소를 실시하는 경향이 증가하고 있는 추세이다. 따라서 본 연구에서는 정수장에서 최적의 염소주입과 재염소 주입량을 산정하기 위하여 미국 EPA에서 개발한 EPANET 2.0을 사용하여 최적 염소 주입량을 산정하고 그 효과를 모의하였다. 대상지역 상수관로에 대한 수질을 모의하기 위하여 bottle test를 통해 수체감소계수($k_{bulk}$)를 도출하였으며, syster-matic analysis method를 이용하여 관벽감소계수($k_{wall}$)를 도출하였다. 배ㆍ급수계통에서의 수질을 정확히 예측하고자 유량과 체류시간 등을 고려한 수리해석 모델을 기초로 하여 상수도관망에서의 잔류염소 농도를 예측하고 염소주입 농도에 따른 소독부산물(DBPs)인 트리할로메탄(Trihalomethanes; THMs)의 생성변화를 실험을 통해 확인하였다. 수체감소계수($k_{bulk}$)를 도출한 결과 온도가 높을수록 초기에 빠른 감소를 보였으며, $25^{\circ}C$의 경우 25시간이 지난 이후에는 절반이상이 감소하였다. 대상지역에 재염소 주입시설을 도입할 경우 최적 재염소 주입량을 산정하였으며, 관망도상에서 경제적으로 유리한 지점을 선정할 수 있었다.

이변량 감소모델을 적용한 배급수관망에서의 잔류염소농도 예측 및 이의 활용 (Prediction of residual chlorine using two-component second-order decay model in water distribution network)

  • 김영효;권지향;김두일
    • 상하수도학회지
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    • 제28권3호
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    • pp.287-297
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    • 2014
  • It is important to predict chlorine decay with different water purification processes and distribution pipeline materials, especially because chlorine decay is in direct relationship with the stability of water quality. The degree of chlorine decay may affect the water quality at the end of the pipeline: it may produce disinfection by-products or cause unpleasant odor and taste. Sand filtrate and dual media filtrate were used as influents in this study, and cast iron (CI), polyvinyl chloride (PVC), and stainless steel (SS) were used as pipeline materials. The results were analyzed via chlorine decay models by comparing the experimental and model parameters. The models were then used to estimate rechlorination time and chlorine decay time. The results indicated that water quality (e.g. organic matter and alkalinity) and pipeline materials were important factors influencing bulk decay and sand filtrate exhibited greater chlorine decay than dual media filtrate. The two-component second-order model was more applicable than the first decay model, and it enabled the estimation of chlorine decay time. These results are expected to provide the basis for modeling chlorine decay of different water purification processes and pipeline materials.

D 정수장 소독부산물 예측모델 선정 (Predictive Model Selection of Disinfection by-products (DBPs) in D Water Treatment Plant)

  • 김성준;이형원;황정석;원찬희
    • 한국물환경학회지
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    • 제26권3호
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    • pp.460-467
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    • 2010
  • For D-WTP's sedimentation basin and distribution reservoir, and water tap the predictive models proposed tentatively herein included the models for estimating TTHM concentration in precipitated water, for treated water and for tap water, and the estimated correlation formula between treated water's TTHM concentration and tap water. As for TTHM-concentration predictive model in sedimentation water, the coefficient of determination is 0.866 for best-fitted short-term $DOC{\times}UV_{254}$ based Model (TTHM). As for $HAA_5$-concentration predictive model in sedimentation water, the coefficient of determination is 0.947 for the suitable $UV_{254}$-based model ($HAA_5$). In case of the predictive model in treated water, the coefficient of determination is 0.980 for best-fitted $DOC{\times}UV_{254}$ based model (TTHM) using coagulated waters, while the coefficient of determination is 0.983 for best-fitted $DOC{\times}UV_{254}$ based model ($HAA_5$) using coagulated waters, which described the $HAA_5$ concentration well. However, the predictive model for tap water could not be compatible with the one for treated water, only except for possibility inducing correlation formula for prediction, [i.e., the correlation formula between TTHM concentration and tap water was verified as TTHM (tap water) = $1.162{\times}TTHM$ (treated water), while $HAA_5$ (tap water) = $0.965{\times}HAA_5$ (treated water).] The correlation analysis between DOC and $KMnO_4$ consumption by process resulted in higher relationship with filtrated water, showing that its regression is $DOC=0.669{\times}KMnO_4$ consumption - 0.166 with 0.689 of determination coefficient. By substituting it to the existing DOC-based model ($HAA_5$) for treated water, the consequential model formula was made as follows; $HAA_5=8.35(KMnO_4\;consumption{\times}0.669-0.166)^{0.701}(Cl_2)^{0.577}t^{0.150}0.9216^{(pH-7.5)}1.022^{(Temp-20^{\circ}C)}$

생물테러시 실내제독을 위한 효율적인 오존가스의 적용 방법 (Application of Gaseous Ozone for Cleaning Biological Weapon Agent Contaminated Building)

  • 윤제용;정우동;문성민;조민
    • 한국군사과학기술학회지
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    • 제11권2호
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    • pp.101-108
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    • 2008
  • This study attempted to develop the technology by gaseous ozone for decontaminating building affected by a model of biological weapon agent(Bacillus subtilis spores) instead of Bacillus anthracis spore. The use of ozone is attractive method from a practical point of view of decontamination procedure since it has strong oxidation power but no residue after application. We examined the disinfection efficiency of gaseous ozone to Bacillus subtilis spores which suspension was sprayed on different material surfaces and dried. Three different types of gaseous ozone was applied : dry ozone, dry ozone with humidified air, and water bubbled wet ozone. Dry ozone(1500ppm) failed to achieve any significant inactivation for 2hrs. However, six log reduction of B. subtilis spore was achieved within 30min by 1500ppm of water bubbled wet ozone. This result shows the noticeable inactivation efficiency by gaseous ozone compared with previous studies. Good performance by wet ozone was also found for military material surface.(i.e. : gas mask hood, protective garments, army peinted metal surface).

ARTIFICIAL NEURAL NETWORK FOR PREDICTION OF WATER QUALITY IN PIPELINE SYSTEMS

  • Kim, Ju-Hwan;Yoon, Jae-Heung
    • Water Engineering Research
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    • 제4권2호
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    • pp.59-68
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    • 2003
  • The applicabilities and validities of two methodologies fur the prediction of THM (trihalomethane) formation in a water pipeline system were proposed and discussed. One is the multiple regression technique and the other is an artificial neural network technique. There are many factors which influence water quality, especially THMs formations in water pipeline systems. In this study, the prediction models of THM formation in water pipeline systems are developed based on the independent variables proposed by American Water Works Association(AWWA). Multiple linear/nonlinear regression models are estimated and three layer feed-forward artificial neural networks have been used to predict the THM formation in a water pipeline system. Input parameters of the models consist of organic compounds measured in water pipeline systems such as TOC, DOC and UV254. Also, the reaction time to each measuring site along pipeline is used as input parameter calculated by a hydraulic analysis. Using these variables as model parameters, four models are developed. And the predicted results from the four developed models are compared statistically to the measured THMs data set. It is shown that the artificial neural network approaches are much superior to the conventional regression approaches and that the developed models by neural network can be used more efficiently and reproduce more accurately the THMs formation in water pipeline systems, than the conventional regression methods proposed by AWWA.

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관로 내 적정소독능 확보를 위한 재염소 기법의 적용 (Application of Rechlorination for Adequate Disinfection Ability in Water Distribution System)

  • 이두진;김영일;이종민;정남정;김용운
    • 상하수도학회지
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    • 제20권5호
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    • pp.701-707
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    • 2006
  • Disinfectant residual should be maintained to achieve biological stability during distribution of treated water. The wide distribution of retention times associated with storage and transport of water in a network and the reactivity of disinfectants make it difficult to maintain adequate residuals at critical locations. Rechlorination at some intermediate locations may reduce the total disinfectant dose while keeping residuals within specified limits throughout the water distribution system. In order to select the adequate location of rechlorination for achieving to maintain of residual chlorine throughout the distribution system, EPANET was used in this study. EPANET was well predicted chlorine transport and residual loss in the distribution system. Location of rechlorination was selected to maintain 0.4mg/L of residual chlorine throughout a water distribution system by field investigation and model simulation. The quantity of chlorine may reduced 36.7% and provided smooth residual between 0.42 and 0.60mg/L, when rechlorination would be used continuously at strategic location within the distribution system.

하수처리수의 관개용수 재이용을 위한 위해성 평가 (Risk assessment of wastewater reuse for Irrigation water)

  • 한정윤;윤춘경;정광욱;장재호
    • 한국농공학회:학술대회논문집
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    • 한국농공학회 2005년도 학술발표논문집
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    • pp.661-666
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    • 2005
  • Wastewater reuse are exposed public health risk by pathogens. Therefore, this study was examined for microbial risk assessment after irrigation as treated wastewater in paddy rice plots. Five treatments were used: biofilter effluent, UV disinfected water, pond treatment, wetland treatment and conventional irrigation water. Risk assessment was calculated based on the beta-Poisson model by concentration of E. coli from 2003 to 2005. Monte-Carlo simulation (n=10,000) was used to estimate the risk characterization of uncertainty. The risk range was from $10^{-5}$ to $10^{-8}$ except biofilter effluent was $10^{-4}$ in June. The USEPA(1992) has recommended that risk of < $10^{-4}$ is acceptable level of safety for potable waters. In 2005, risk value was lower than 2003, 2004 because of the first irrigation for plowing water is lower E. coli concentration used tap water. It is shown that the first irrigation water quality was important for wastewater irrigation in paddy. UV disinfection and natural treatment used pond and wetland were thought to be an effective for wastewater reuse.

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