• Title/Summary/Keyword: Disinfection By-Products (DBPs)

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Study on the Changes of the Mineral Contents in Tap-water Drinking with Diverse Teas (차를 이용한 수돗물 간접 음용시 수돗물 중 미네랄 함량 변화 연구)

  • Kim, Jeonghee;Ryoo, Rina;Song, Daesung;Lee, Jeongyeop;Lee, Young-Joo
    • Journal of Korean Society of Environmental Engineers
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    • v.37 no.9
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    • pp.511-516
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    • 2015
  • On this study, we investigated the removal characteristics of residual chlorine and DBPs in tap-water during boiling. Also we investigated the releasing characteristics of essential minerals in infusion tea. While recent studies focused on removal mechanisms of harmful heavy metals in infusion tea, this study tried to suggest the way to drink tap-water healthier and safer by examining releasing mechanisms of essential minerals in infusion tea. As a result, residual chlorine(initial conc. was 0.7 mg/L) was all removed in 20 minutes after heating and DBPs (the sum of THMs, HAAs and CH) were removed up to 65%. 6 kinds of essential minerals (Ca, K, Na, Mg, S, P) were released from 5 kinds of infusion tea (barley tea, corn tea, brown rice tea, cassia seed tea, solomon's seal tea) on the market. In cassia seed tea, the amount of essential minerals released from tea showed the highest values, 9.6 mg/g, and brown rice tea was the lowest, 1.6 mg/g. Particularly, the released amounts of potassium, playing a key role in human body in maintaining normal blood pressure, cell metabolism and enzyme action, showed relatively high. Through this study, we got to know that essential minerals can be obtained up to 40% of recommended nutritional intake for Korean by boiling tap-water with infusion tea.

A Study on Characterization of Formation and Reduction of THMs in Water Treatment Process (정수처리공정별 THMs 발생특성과 저감방안에 대한 연구)

  • Ka, Gil-Hyun;Bae, Min-Ho;Lee, Jun-Ho;Ahn, Chi-Hwa;Han, Ihn-Sup;Min, Byung-Dae
    • Journal of Korean Society of Environmental Engineers
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    • v.30 no.7
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    • pp.721-728
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    • 2008
  • DBPs(Disinfection By-Products) are most formed through the reactions between chlorine and NOM(Natural Organic Matter) in water treatment. In this study, occurrence of DBPs including THMs(Trihalomethanes) is evaluated. Also, influencing factors by the seasons and raw water quality were investigated for correlation among them and the characteristics of THMs formation by prechlorination process. This study investigated the operation condition for THMs removal depending on raw water quality. Water treatment plant from intake station to gauging well flows for about 10 hours in Y Water Supply Office. It is limited to control of THMs formation because of excessive reaction time between chlorine and THMs precursors in the intake station. Therefore, as multi-points prechlorination from intake station to gauging well, THMs formation was decreased in the water treatment, and it was willing to prevent overdosage of chlorine. The concentration of THMs was 0.021 mg/L in the summer, 0.015 mg/L in the winter, respectively. Also, THMs formation showed that 0.013 mg/L in the water of gauging well after prechlorination, 0.014 mg/L in the flocculation/sedimentation/filtration, 0.016 mg/L in the water after postchlorination, respectively. THMFP(Trihalomethane Formation Potential) removed 42.7% and 50% through the flocculation/sedimentation and filtration, respectively, and it is similar TOC removal efficiency. In this study, multi-points prechlorination from intake station to gauging well decreases in contact time and concencrations of NOM and chlorine. Also, it decreases in THMs and amount of chlorine uesd. In the result of multi-points prechlorination in the summer, the concentration of THMs was 0.013mg/L in the treated water. In view of these facts, THMs formation can be decreased approximately 50%.

A Case Study on Chlorine Dioxide Usage at a Conventional Water Treatment Plant (기존 정수장 이산화염소 시범도입 사례연구)

  • Lee, Song-Hee;Lee, Byung-Doo;Kim, Jin-Keun;Seog, Kwon-Soo;Lee, Joung-Taek
    • Journal of Korean Society of Environmental Engineers
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    • v.27 no.1
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    • pp.115-119
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    • 2005
  • As the regulations on DBPs are tightened, many water treatment plants (WTPs) in Korea have already introduced or will introduce enhanced coagulation, alternative disinfectants and advanced treatments such as ozonization and granular activated carbon to improve drinking water qualify. After a phenol leakage accident at the Nakdong-River in 1991, 26 WIPs in Korea introduced carbon dioxide generators, but there has been no accumulation of significant operating data. This research summarizes things that should be considered for the introduction of carbon dioxide disinfection process to WTPs based on one year operation data from A WTP that has had high concentration of DBP during a specific period in the summer. The removal efficiency of DBP was $30{\sim}40%$, but those of 2-MIB, Geosmin were less than 10%. The generation rate of $ClO_2$ by-products such as chlorite and chlorate were $70{\sim}100%$ of input dosage, but the ratios increased over time. At the same time, strong chlorine odors may be produced in the distribution system when $ClO_2$ was used with $Cl_2$ as a result of reaction between the chlorite and residual chlorine.

The study of analysis of mutagen in drinking water (음용수 중 변이원성 물질(MX)에 관한 연구)

  • Yoo, Eun-Ah;Won, Jung-In
    • Analytical Science and Technology
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    • v.19 no.4
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    • pp.290-300
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    • 2006
  • Disinfection by-products(DBPs), such as volatile trihalomethanes and the nonvolatile organochlorine acids, created by chlorination have been extensively studied. However MX which contributes 20-50% of the mutagenic activity in drinking water began to people's attention since 1990. Its chemical name is 3-chloro-4-dichloromethyl-5-hydroxy-2(5H)-furanone. According to WHO guidelines its concentration should be controlled, but its value has not been set up. Due to analytical difficulties in measuring this compound at such a low concentrations and lack of information on toxicity to human. Because concentration (ng/L) of MX in drinking water is low traditional testing methods are ineffective. Therefore this study compared LLE and SPE and have chosen SPE to improve preconcentration. MX has been identified in chlorinated drinking water samples in several countries but not in korea Therefore this study analyzed concentration of MX in different water sources and in spring water. This study examined the causes of changing MX content. Chlorine dosage, seasons, water temperature and distance from the source was all discoverd to be relavant. MX was analyzed in various treatment to find optimum disinfection methods. The outcome was that the concentration of MX was minimized when using biological activated carbon-O3 and granular activated carbon.

Analysis of Trace Levels of Lodinated Trihalomethanes in Water Using Headspace - GC/ECD (Headspace - GC/ECD를 이용한 수중의 미량 요오드계 트리할로메탄류 분석)

  • Son, Hee-Jong;Song, Mi-Jung;Kim, Kyung-A;Yoom, Hoon-Sik;Choi, Jin-Taek
    • Journal of Korean Society of Environmental Engineers
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    • v.36 no.1
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    • pp.35-41
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    • 2014
  • Trihalomethanes (THMs) are formed as a results of the reaction of residual chlorine, used as a disinfectant in drinking water, with the organic matter in raw water. Although chlorinated and brominated THMs are the most common disinfection byproducts (DBPs) reported, iodinated THMs (I-THMs) can be formed when iodide is present in raw water. I-THMs have been usually associated with several medicinal or pharmaceutical taste and odor problems and is a potential health concern since they have been reported to be more toxic than their brominated and chlorinated analogs. Currently, there is no published standard analytical method for I-THMs in water. An automated headspace-gas chromatography/electron capture detector (GC/ECD) technique was developed for routine analysis of 10 THMs including 6 I-THMs in water samples. The optimization of the method is discussed. The limits of detection (LOD) and limits of quantification (LOQ) range from 12 ng/L to 56 ng/L and from 38 ng/L to 178 ng/L for 10 THMs, respectively. Matrix effects in river water, sea water and wastewater treatment plant (WWTP) final effluent water were investigated and it was shown that the method is suitable for the analysis of trace levels of I-THMs, in a wide range of waters. The method developed in the present study has the advantage of being rapid, simple and sensitive.

Characteristics of Chlorination Byproducts Formation of Amino Acid Compounds (아미노산 성분에서의 염소 소독부산물 생성 특성)

  • Son, Hee-Jong;Choi, Young-Ik;Bae, Sang-Dae;Jung, Chul-Woo
    • Journal of Korean Society of Environmental Engineers
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    • v.31 no.5
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    • pp.332-340
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    • 2009
  • This study was conducted to analyze and determine formation potentials for chlorination disinfection by-products (DBPs) from twenty amino acid compounds with or without $Br^-$. Two of twenty amino acid compound were tryptophan and tyrosine that were relatively shown high for formation of trihalomethanes (THMs)/dissolved organic carbon (DOC) whether or not $Br^-$ presented. Other 18 compounds were shown low for formation of THMs/DOC whether or not $Br^-$ presented. Five amino acid compounds that were tryptophan, tyrosine, asparagine, aspartic acid and histidine were shown high for formation of haloacetic acids (HAAs)/DOC whether or not $Br^-$ presented. Although formation of dichloroacetic acid (DCAA) was dominated in asparagine, aspartic acid and histidine, trichloroacetic acid (TCAA) was dominated in tryptophan and tryptophan. The formation of haloacetnitriles (HANs)/DOC whether or not $Br^-$ presented was high in Aspartic acid, histidine, asparagine, tyrosine and tryptophan. Specially, aspartic acid was detected 660.2 ${\mu}$g/mg (HAN/DOC). Although the formation of chloralhydrate (CH)/DOC was shown high in asparagine, aspartic acid, histidine, methionine, tryptophan and tyrosine, the formation of Chloropicrin (CP)/DOC was low (1 ${\mu}$g/mg) in twenty amino acid compounds. The formations of THM, HAA and HAN were also investigated in functional groups of amino acids. The highest formation of THM was shown in amino acids compounds (tryptophan and tyrosine) with an aromatic functional group. Highest, second-highest, third-highest and fourth-highest functional groups for formation of HAA were aromatic, neutral, acidic and basic respectively. In order of increasing functional groups for formation of HAN were acidic, basic, neutral and aromatic.

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

  • Kim, Sung-Joon;Lee, Hyeong-Won;Hwang, Jeong-Seok;Won, Chan-Hee
    • Journal of Korean Society on Water Environment
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    • v.26 no.3
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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; $HAA_5=8.35(KMnO_4\;consumption{\times}0.669-0.166)^{0.701}(Cl_2)^{0.577}t^{0.150}0.9216^{(pH-7.5)}1.022^{(Temp-20^{\circ}C)}$

Effect of Wangsuk Stream on NOM and Chlorinated DBPFPs in Han River Water (왕숙천 유입에 따른 한강본류의 천연유기물질과 염소소독부산물 생성능 변화)

  • Park, Hyeon;Kim, Chang-Mo;Chang, Hyun-Seong;Kim, Hyun-Suk;Park, Chang-Min;Yu, Myong-Jin
    • Journal of Korean Society of Environmental Engineers
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    • v.28 no.10
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    • pp.1031-1037
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    • 2006
  • The main purposes of this study were to compare the characteristics of fractionated natural organic matters(NOM) from Han River water and Wangsuk(W) stream water, and to investigate the relationships between NOM and the formation of disinfection by products(DBPs). Three types of resin such as XAD-4, XAD-7HP and IRC-50 were used to isolate the water samples into three organic fractions. The DOC concentrations of raw waters were relatively low($1.5{\sim}3.3$ mg/L) at all seasons. The hydrophilic was the major constituent, contributing $44{\sim}63%$ of the total NOM and hydrophobic $21{\sim}33%$, transphilic $16{\sim}31%$, respectively. The formation of trihalomethans(THMs) was highly influenced by particulated NOM especially in the rainy season, whereas haloaceticacid forming potentials(HAAFPs) depended more on the hydrophilic fraction of dissolved NOM which is known to be difficult to be removed through conventional processes. The NOM of W stream was characterized as 15% hydrophobic, 9% transphilic, and 76% hydrophilic. In the fractionation of NOM using resins, $20{\sim}40%$ of the NOM in W tributary water could not be clearly isolated, whereas, 85% of the NOM in the raw water was recovered. Although the DOC concentration of tributary water was higher than the raw waters from the Han River, the DBPFPs was approximately 40% of the raw waters. In DBPFPs aspect, W stream has less effect than Han River water itself. Bromide in tributary waters discharged from waste water treatment plants has been found to shift the distribution of THMs and HANs to the more brominated DBPs.

The Removal of Natural Organic Matter and Disinfection By-Product Precursor by Ozone (오존처리에 의한 천연유기물질 변화 및 염소 소독부산물 전구물질 제어)

  • Son, Hee-Jong;Roh, Jae-Soon;Kim, Sang-Goo;Kang, Lim-Seok;Lee, Yong-Doo
    • Journal of Korean Society of Environmental Engineers
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    • v.27 no.10
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    • pp.1099-1107
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    • 2005
  • The purpose of this study was to find the transformation of organic matter as well as chlorine by product formation potential with ozone dosage. The removal percents of $UV_{254}$ and DOC were $23%{\sim}65%$ and $2%{\sim}15%$ and THMFP and HAAFP were $17%{\sim}52%$ and $9%{\sim}29%$ respectively at $0.5{\sim}3\;mgO_3/mgDOC$ ozone dosage. The hydrophobic and transphobic organic matter were reduced to $37%{\sim}68%$ and $35%{\sim}64%$, on the other hand the hydrophilir organic matter was increased to $40%{\sim}49%$ at $0.5{\sim}3\;mgO_3/mgDOC$ ozone dosage. The produced THMFP and HAAFP from the hydrophobic and transphilic organic matter were decreased greatly with increasing ozone dosage but these by products were increased in the hydrophilic matter. The produced THMFP and HAAFP per unit DOC were decreased and reactivity was reduced greatly with increasing crone dosage. The removal rate of THMFP per unit DOC was much higher than HAAFP by ozone treatment. The Br-THMFP per unit DOC was much more removed than chloroformFP per unit DOC with increasing ozone dosage. and The removal rate of TCAAFP per unit DOC was increased with increasing ozone dosage but TCAAFP was not affected by ozone treatment. Br-HAAFP was decreased at $1\;mgO_3/mgDOC$ ozone dosage but was not more removed above $1\;mgO_3/mgDOC$ ozone dosage. Br-HAAFP had lower removal effect than Br-THMFP by ozone treatment. The optimal ozone dosage can be determined about $1\;mgO_3/mgDOC$ by considering both disinfection by product formation and economical efficiency.