• Title/Summary/Keyword: ASM no.1

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Simplification of ASM No. 2 using Anaerobic-Aerobic-Anoxic SBR (혐기-호기-무산소 SBR 반응조를 이용한 ASM No. 2 모델의 간략화에 관한 연구)

  • Kim, Shin Geol;Choi, In Su;Koo, Ja Yong
    • Journal of Korean Society of Water and Wastewater
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    • v.22 no.1
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    • pp.3-14
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    • 2008
  • ASM No. 2(Activated sludge model No. 2) is very useful model to analyze the wastewater treatment which removes nitrogen and phosphorus. But, it is difficult to apply ASM No. 2 to control of wastewater treatment since it has 17 material divisions and 46 parameters. So the purpose of this study was the simplification of ASM No. 2 and the provement of simplification model. Firstly ASM No. 2 was simplified with 5 material division and three phases(Anaerobic, aerobic, anoxic phases). The simplified model was proved by R-square using track study data. As a result of provement, the values of R-square in ${NH_4}^+$ were 0.9815 in ASM No. 2 and 0.9250 in simplified model and in ${NO_3}^-$ were 0.8679 in ASM No. 2 and 0.7914 in simplified model and in ${PO_4}^{3-}$ are 0.9745 in ASM No. 2 and 0.9187 in the simplified model when the ability to express the material variation was compared by R-square. So, the simplified model has enough ability to express the variation of ${NH_4}^+$, ${NO_3}^-$ and ${PO_4}^{3-}$.

Simplification of ASM No. 1 Using Aerobic-Anoxic SBR (호기-무산소 SBR 반응조를 이용한 ASM No. 1 모델의 간략화)

  • Kim, Shin Geol;Choi, In Su;Koo, Ja Yong
    • Journal of Korean Society of Water and Wastewater
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    • v.21 no.4
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    • pp.409-420
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    • 2007
  • ASM No. 1 is a very useful model to analyze wastewater treatment system removing organic carbon and nitrogen material. But it isn't adequate to control the wastewater treatment system with real time since it has many material divisions and parameters. So, the purpose of this study is the simplification of ASM No. 1 to control the wastewater treatment system. ASM No. 1 was changed with the model which has 3 material divisions(COD, $NH_4{^+}$, $NO_3{^-}$) and two phases(Aerobic and Anoxic condition). SBR was running with two phases(Phase I and II). Phase II running 20 minutes with aerobic time was used for deciding model parameters and Phase I running 12 minutes with aerobic time was used for proving the simplified model. The simplified model was compared with ASM No. 1 using data of Phase I and II. As a result of model comparison, the simplified model has enough ability to express the variation of $NH_4{^+}$ compound.

Control of $NH_4-N$ in Wastewater Treatment Effluent According to Simplified ASM No. 1 (간략화된 활성슬러지 모델(ASM No. 1)을 이용한 유출수 중 암모니아성 질소의 제어에 관한 연구)

  • Kim, Shin-Geol;Choi, In-Su;Koo, Ja-Yong
    • Journal of Korean Society of Environmental Engineers
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    • v.29 no.5
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    • pp.548-555
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    • 2007
  • The control of wastewater treatment has two merits; one is to regulate water quality of effluent and the other is to reduce the cost of wastewater treatment. The purpose of this study was to control the ammonium nitrogen in effluent that is known to cause eutrophication. The control was based on simplified ASM No. 1 which had 3 component materials and 8 coefficients, and the control method was as following. Firstly the ammonium concentration of inflow was measured and the optimal aeration time in effluent was determined according to simplified ASM No. 1 to be 1.0 mg/L. If ammonium concentration of effluent was not equal to 1.0 mg/L, the influent ammonium was corrected by adaptive control. These processes above were repeatedly performed. The SBR running aerobic-anoxic phase had been controlled for 1 month with this method. As a result, the ammonium concentration of the effluent showed in the range of $0.22\sim3.1$ mg/L with an average concentration of 1.1 mg/L. The adaptive control method used in this study was found very useful to control and predict the effluent concentration of ammonium.

The Analysis of NBOD from Sewer Outflow in Winter Season by the COD Fractions using the Respirometry and Process Simulations (미생물호흡률 측정에 의한 COD분액과 공정모사를 이용한 동절기 하수유출수의 NBOD 발생원인 분석)

  • Cho, Wook Sang;Kang, Seong Wook;Im, Dong Hyuk
    • Journal of Korean Society on Water Environment
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    • v.26 no.1
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    • pp.96-103
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    • 2010
  • In this work, the presence of nitrification biochemical oxygen demand (NBOD) frequently occurred in the sewer outflow in winter season was analysed by the COD fraction methods using the respirometry and process simulations with real operation data measurements and analysis. The activated sludge models applied in this process simulation were based on the ASM No.2d temp. models, published by International Association on Water Quality (IAWQ). The ASM No.2d model is an extension of the ASM No.2 model and takes into account of carbon removal, nitrification, denitrification and phosphorus removal. The denitrifying capacity of phosphorus accumulating organisms has been implemented in the ASM No.2d model because experimental evidence shows that some of the phosphorus accumulating organisms can denitrify. It was shown that the concentrations of autotrophs (X_AUT) in the secondary clarifier and the $NH_4-N$ of T-N increased in the presence of NBOD measurements. Because of the low temperature (average $8^{\circ}C$) and possible operational troubles, the outcoming autotrophs exhausted oxygen in the process of nitrifying $NH_4-N$.

Interpretation of Simultaneous Nitrification & Denitrification Reaction by Modifying Activated Sludge Models(ASMs) (활성슬러지 모델 수정을 통한 동시 질산화.탈질 반응 해석)

  • Kim, Hyo-Su;Kim, Ye-Jin;Lee, Sung-Hak;Moon, Tae-Sup;Choi, Jae-Hoon;Kim, Chang-Won
    • Journal of Korean Society of Environmental Engineers
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    • v.30 no.2
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    • pp.199-206
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    • 2008
  • Simultaneous nitrification and denitrification means that nitrification and denitrification occur concurrently in the same reaction vessel under low DO concentration. Some mathematical models developed to simulate simultaneous nitrification and denitrification reaction, but they have the complex model structures or have limitations of model application. To solve these problems, if possible that predict the behavior of simultaneous nitrification and denitrification reaction by activated sludge model, structures of the model is less complex than previous models and applies the various operation conditions. But original activated sludge models have difficulties in representing the denitrification reaction under aerobic condition. So the aim of this study is to interpret simultaneous nitrification and denitrification reaction by modifying activated sludge model. Original activated sludge model No.1(ASM1) was selected and modified. The simulation result in modified ASM1 predicted appropriately for the measured data. This indicates the structures of ASM1 are properly improved for interpretation of simultaneous nitrification and denitrification reaction.

Prevention of Quality Deterioration in Concentrated Strawberry Puree by Employing pH Regulators during Heat Treatment (pH 조절제를 이용한 농축 딸기 퓌레 열처리 시 품질저하 억제)

  • Lee, In-Gyeong;Min, Seo-Cheol;Kim, Hee-Sun;Han, Gwi-Jung;Kim, Myung-Hwan
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.45 no.10
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    • pp.1518-1524
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    • 2016
  • This study was performed to minimize quality degradation of concentrated strawberry puree after $90^{\circ}C$ for 5 min by heat treatment with citric acid (CA) and acidic sodium metaphosphate (ASM) as pH modifiers. The highest color value was 1% CA+1% ASM (13.027), followed by 1% CA (9.539) and control (6.905). Anthocyanin contents were also 1% CA+1% ASM (3.049 mg/100 g), 1% CA (1.140 mg/100 g), and control (0.757 mg/100 g) in sequence. The DPPH radical scavenging activities of control, 1% CA, and 1% CA+1% ASM were 58.148, 72.638, and 83.736%, respectively. The color values, anthocyanin contents, and DPPH radical scavenging activities were significantly different at P<0.05 between control and 1% CA+1% ASM treatment. For the results of overall preference for hedonic test, there was no significant difference at P>0.05 among the three samples. During heat treatment, quality degradation of concentrated strawberry puree was reduced by 1% CA+1% ASM treatment, which is expected for new acidulants.

Control of Wastewater Treatment Removing Phosphate Based on ASM No. 2 Simplified Model and Investigation of Luxury Uptake Limitation (ASM No. 2 간략화 모델에 기초한 인산염의 제어 및 인섭취 제한현상에 대한 고찰)

  • Kim, Shin-Geol;Choi, In-Su;Koo, Ja-Yong
    • Journal of Korean Society of Environmental Engineers
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    • v.30 no.2
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    • pp.181-189
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    • 2008
  • Phosphate is the limiting factor leading to the eutrophication in nature and has been usually removed by the luxury uptake of PAOs(Phosphate accumulating organisms). The purpose of this study was the control of wastewater treatment removing phosphorus. The control of wastewater treatment process was performed by optimal and adaptive control. They were performed as followings. Firstly the inflow phosphate concentration was measured and the optimal aeration time was calculated by simplified ASM No. 2 for the phosphate to be 1.0 mg/L in effluent. It was optimal control. But when the phosphate concentration in effluent was not 1.0 mg/L, adaptive control was necessary to coincide the objective of control with real value. Then it was performed as the objective phosphate concentration in effluent was changed according to calculation of errors and it was adaptive control. The wastewater treatment process had been controlled by them for about one month. The range of phosphate concentration in effluent 0.2$\sim$3.2 mg/L and the average of it was 1.0 mg/L. The limitation of luxury uptake occurred two times while wastewater treatment process was running. After the analysis of laboratory tests, we knew the reasons were the shortage of ammonia nitrogen and the excessive aeration.

Induction of Disease Resistance by Acibenzolar-S-methyl, the Plant Activator against Gray Mold (Botrytis cinerea) in Tomato Seedlings (저항성 유도물질(acibenzolar-S-methyl)처리에 의한 토마토 잿빛곰팡이병 발병억제)

  • Lee Jung-Sup;Kang Nam-Jun;Seo Sang-Tae;Han Kyoung-Suk;Park Jong-Han;Jang Han-Ik
    • Research in Plant Disease
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    • v.12 no.1
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    • pp.40-45
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    • 2006
  • The plant defence activator, Acibenzolar-S-methyl [benzo (1,2,3) thiadiazole-7-carbothioic acid-S-methyl ester, ASM] was assayed on tomato seedlings for its ability to induce resistance against Botrytis cinerea, the causal agent of gray mold in tomato. Pre-treatment of plants with ASM reduced the severity of the disease as well as the growth of the mycelium in plants. In ASM treated plants, reduction in disease severity (up to 55%) was correlated with suppression of mycelia growth (up to 46.5%) during the time course of infection. In plants treated with ASM, activities of peroxidase were determined as markers of resistance. Applications of ASM induced Progressive and significant increase of the enzyme in locally treated tissues. Such responses were expressed earlier and with a much higher magnitude when ASM-treated seedlings were challenged with the pathogen, thus providing support to the concept that a signal produced by the pathogen is essential for triggering enhanced synthesis and accumulation of the enzymes. No such activities were observed in water-treated control plants. Therefore, the slower symptom development and reduction in mycelium growth in ASM treated plants might be due to the increase in activity of oxidative and antioxidative protection systems in plants.

Modeling of Existing BNR Process using ASM3 and Modified Bio-P Module (ASM3+Bio-P module을 이용한 기존 BNR공정 모사)

  • Rho, Hae-Yeon;Gil, Kyung-Ik
    • Journal of Korean Society on Water Environment
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    • v.23 no.3
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    • pp.309-313
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    • 2007
  • In Activated Sludge Model, COD fraction of primary settled municipal wastewater was a very important parameter. In this study, the COD fraction was determined using the oxygen utilization rate experiments. Readily biodegradable COD ($S_S$) fraction was observed about 29.7% of influent TCOD. $S_I$, $X_I$, and $X_S$ were analyzed to be 7.6%, 7.3%, and 55.4% of TCOD, respectively. The model used in this study was developed based on ASM3 and modified Bio-P module in order to simulate the existing BNR process. Parameter estimation results showed that $Y_{STO,O2}$, $Y_{STO,NO}$, $Y_{H,O2}$, $Y_{H,NO}$, $Y_{PO4}$, ${\mu}_H$, $b_H$, ${\mu}_A$, $q_{PHA}$, $q_{PP}$ and ${\mu}_{PAO}$ were 0.7, 0.64, 0.61, 0.48, 0.31, 3.9, 0.1, 1.35, 4.98, 1.8 and 0.59, respectively. Using the presented model and the estimated parameters, the simulation of the existing BNR process was successfully conducted.

Study of Hair Melanins in Various Hair Color Alpaca (Lama Pacos)

  • Fan, Ruiwen;Yang, Gang;Dong, Changsheng
    • Asian-Australasian Journal of Animal Sciences
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    • v.23 no.4
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    • pp.444-449
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    • 2010
  • The aim of this study was to measure the hair melanins of various colors and to find the relationship between the quantity of melanins and hair color phenotypes in alpacas. According to the Munsell color system, 3 healthy alpacas were selected for each of the 22 different hair color phenotypes (66 alpacas altogether). Alpaca hair was taken from the lateral thoracic region and then dissolved with different solutions to obtain melanins. The values of alkali-soluble melanins (ASM), eumelanin (EM) and pheomelanin (PM) were measured by spectrophotometric assay, and labeled as Sp.ASM, Sp.EM and Sp.PM, respectively. Data were analyzed using SPSS11.5 software. Results showed that average Sp.ASM and Sp.PM were increased as the color deepened from white to black, ranging from 0.500 to 4.543 for Sp.ASM and from 0.268 to 1.457 for Sp.EM. However, average Sp.PM had no such apparent relationship with color. Based on the value of Sp.ASM and EM, 7 hues were produced and gray was a single hue. Most of the data were in a normal distribution (p>0.10). ANOVA analysis showed that mean values of Sp.ASM, Sp.EM and Sp.PM were significantly different (p<0.05). The results also showed that Sp.ASM was positively correlated with Sp.EM but the correlation between Sp.ASM and Sp.PM was not significantly different from 0. It is concluded that EM is the major constituent of alpaca hair melanin; there is a significant correlation among ASM, EM and alpaca hair colors, and EM is the most reliable parameter for distinguishing these groups.