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    Advanced treatment of wastewater based on the Bioelectrochemical principles

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    Biological processes for advanced wastewater treatment are an integral part of managing the water environment. However, the conventional biological processes have some technical limitations based not only on thermodynamics but also on the physiological properties of microorganisms. Interestingly, it has been revealed that electroactive microorganisms that catalyze the polarized electrode can enrich the bioelectrochemical reaction, and the redox potential of the bioelectrochemical reaction can be shifted by the polarized potential on the electrode surface. The shift of the redox potential can alter the thermodynamic equilibrium of the bioelectrochemical reaction. This indicates that the bioelectrochemical reaction has the great potential to enable advanced wastewater treatment beyond the limits of conventional biological treatment. In this thesis, an upflow bioelectrochemical reactor (UBER) for advanced wastewater treatment was devised, and the optimal design and operational conditions of UBER were investigated. In details, the conductive materials and applied voltage that affect the advanced wastewater treatment were studied in UBER using the synthetic wastewater with the standard discharge quality for the wastewater treatment plant. The advanced treatment performance of UBER was examined using the effluent discharged from a sewage treatment plant and the raw sewage to be treated in a sewage treatment plant. In the UBER, electroactive microorganisms were enriched by the polarized electrodes, and the organic matter, as well as nitrogen compounds, contained in the low strength synthetic wastewater with the standard discharge quality, were removed by the direct interspecies electron transfer (DIET). The effluent concentrations in COD and ammonia nitrogen were less than 3.5 mg/L and 7.46 mg/L at the 1 hour of HRT (Hydraulic Retention Time), respectively. This suggests that the polarized potential of the electrodes can improve the substrate affinity of bacteria. However, when conductive materials, including activated carbon particle and graphite fiber sheet, were added into the UBER, the effluent concentrations in COD and ammonia nitrogen were improved up to 1.98 mg/L and 2.65 mg/L, respectively, by the conductive sheets. It seems that the conductive materials between the electrodes in UBER not only increased the biomass retention but also further improved DIET by altering the abundance of dominant bacterial groups. This suggests that conductive materials between the electrodes are an essential part of UBER for the advanced wastewater treatment process. Interestingly, the effluent quality in UBER was affected by the physicochemical properties of conductive materials. In control without the activated carbon, the effluent COD and T-N from UBER were 2.72ยฑ0.08 mg/L and 11.62ยฑ0.05 mg/L, respectively. However, the effluent COD and T-N were improved to less than 1.66ยฑ0.06 mg/L and 4.45ยฑ0.03 mg/L, respectively, by the addition of conductive particles, especially activated carbons pretreated with Fenton oxidation, to UBER. Fenton oxidation improved the surface area and electric conductivity of activated carbon. Based on the decision tree for the effluent quality and EIS data, it has appeared that the effluent quality (COD and T-N) in UBER is highly dependent on the charge transfer resistance and the biomass amount. Another parameter affecting the removals of nitrogen compounds in UBER was the intensity of the electrostatic field created to the bulk solution by the polarized electrodes. The effluent T-N gradually decreased as the electrostatic field increased in the range of 0.2 to 0.83 V/cm. It seems that AOE and DNE enriched more under the higher electrostatic field to promote the DIET between them for nitrogen removal. However, the organic matter was easily degraded in UBER with a low intensity of the electrostatic field, and the effluent COD was not significantly affected by the electrostatic field. The continuous UBER with high porous conductive particles and 0.83 V/cm of the electrostatic field was designed and the advanced treatment performance for the effluent discharged from a sewage treatment plant was examined. The effluent COD of the UBER was at 1.61ยฑ0.03 mg/L at the steady state, which was significantly less than 4.90ยฑ0.40 mg/L in the control without the electrostatic field. In the case of T-N, the effluent concentration in the UBER was as low as 2.74ยฑ0.12mg/L. It suggests that when the electric field is exposed to the bulk solution of the UBER, electroactive microorganisms, including AOE and DNE, are enriched and the removals of organic matter and nitrogen compounds are promoted by the DIET between them. The treatment performance in UBER for a sewage to be treated in a sewage treatment plant was also examined. The effluent COD was 1.89ยฑ0.04 mg/L at HRT longer than 3 hours. However, the effluent T-N was 6.67ยฑ2.17 mg/L at the 3 hours of HRT, which was decreased to 4.31ยฑ0.14 mg/L at the 5 hours of HRT. In addition, it has found that the effluent T-N can be further decreased to 3.26ยฑ0.45 mg/L by recycling of the effluent at 0.5Q. It can be concluded that UBER can be applied not only as a tertiary treatment process for the effluent discharged from the sewage treatment plant but also as an advanced treatment process for raw sewage. Furthermore, UBER is also expected to be applicable to the advanced treatment of various wastewater, such as industrial wastewater, agricultural wastewater, and fishery wastewater if the design and operational conditions are obtained from the pilot test.์ œ 1 ์žฅ ์„œ๋ก  1 ์ œ 2 ์žฅ ๋ฌธํ—Œ์—ฐ๊ตฌ 5 2.1 ๊ตญ๋‚ด ํ•˜์ˆ˜์ฒ˜๋ฆฌ์‹œ์„ค ํ˜„ํ™ฉ 5 2.2 ๊ตญ๋‚ด ์ฒ˜๋ฆฌ์‹œ์„ค ๋ฐฉ๋ฅ˜์ˆ˜ ์ˆ˜์งˆ๊ธฐ์ค€ 7 2.3 3์ฐจ ์ฒ˜๋ฆฌ ๋ฐ ๊ณ ๋„ ์ฒ˜๋ฆฌ ๊ณต์ • 11 2.4 ์ƒ๋ฌผํ•™์  ๊ณต์ •์—์„œ์˜ ๊ธฐ์งˆ ์นœํ™”๋„(๋ฐ˜ํฌํ™” ์ƒ์ˆ˜) 13 2.3 ์ƒ๋ฌผ์ „๊ธฐํ™”ํ•™ ์‹œ์Šคํ…œ 15 2.4 ์ƒ๋ฌผ์ „๊ธฐํ™”ํ•™ ๊ธฐ์ˆ ์„ ์ด์šฉํ•œ ์ €๊ฐ•๋„ ํ•˜ํ์ˆ˜์ฒ˜๋ฆฌ์˜ ์›๋ฆฌ 17 ์ œ 3 ์žฅ ์ƒ๋ฌผ์ „๊ธฐํ™”ํ•™ ๊ณ ๋„ ์ฒ˜๋ฆฌ์—์„œ ์ „๋„์„ฑ ๋ฌผ์งˆ์˜ ์˜ํ–ฅ 18 3.1 ์—ฐ๊ตฌ ๋ชฉ์  18 3.2 ์‹คํ—˜ ๋ฐ ๋ฐฉ๋ฒ• 18 3.2.1 ์ „๊ทน ๋ฐ ์ „๋„์„ฑ๋ฌผ์งˆ 18 3.2.2 ์ƒ๋ฌผ์ „๊ธฐํ™”ํ•™ ๋ฐ˜์‘์กฐ ์ œ์ž‘ ๋ฐ ์šด์ „ ์กฐ๊ฑด 20 3.2.3 ๋ถ„์„ ๋ฐ ๊ณ„์‚ฐ 21 3.2.4 ๋ฏธ์ƒ๋ฌผ ๋ถ„์„ 22 3.3 ๊ฒฐ๊ณผ ๋ฐ ๊ณ ์ฐฐ 23 3.3.1 ์œ ๊ธฐ๋ฌผ์งˆ์˜ ์ƒ๋ฌผ์ „๊ธฐํ™”ํ•™์  ์ฒ˜๋ฆฌ 23 3.3.2 ์ƒ๋ฌผ์ „๊ธฐํ™”ํ•™์  ์งˆ์†Œ ์ œ๊ฑฐ 26 3.3.3 ๋ฐ”์ด์˜ค๋งค์Šค์˜ ์ „๊ธฐํ™”ํ•™์  ํŠน์ง• 31 3.3.4 ๋ฏธ์ƒ๋ฌผ ๊ตฐ์ง‘ ๋ถ„์„ 34 3.4 ๊ฒฐ๋ก  37 ์ œ 4 ์žฅ ์ƒ๋ฌผ์ „๊ธฐํ™”ํ•™ ๊ณ ๋„์ฒ˜๋ฆฌ์—์„œ ์ „๋„์„ฑ ์ž…์ž์˜ ๋ฌผ๋ฆฌ์  ํŠน์„ฑ์— ๋”ฐ๋ฅธ ์˜ํ–ฅ 38 4.1 ์—ฐ๊ตฌ ๋ชฉ์  38 4.2 ์‹คํ—˜ ๋ฐ ๋ฐฉ๋ฒ• 38 4.2.1 ์ „๊ทน๊ณผ ์ „๋„์„ฑ ์ž…์ž 38 4.2.2 ์ƒ๋ฌผ์ „๊ธฐํ™”ํ•™ ๋ฐ˜์‘์กฐ ์ œ์ž‘ ๋ฐ ์šด์ „ ์กฐ๊ฑด 40 4.2.3 ๋ถ„์„ ๋ฐ ๊ณ„์‚ฐ 42 4.2.4 ๋ฏธ์ƒ๋ฌผ ๋ถ„์„ 43 4.3 ๊ฒฐ๊ณผ ๋ฐ ๊ณ ์ฐฐ 44 4.3.1 ํ™œ์„ฑํƒ„์˜ ํ‘œ๋ฉด ํŠน์„ฑ 44 4.3.2 ์œ ๊ธฐ๋ฌผ์˜ ์ƒ๋ฌผ์ „๊ธฐํ™”ํ•™์  ์ œ๊ฑฐ 46 4.3.2 ์ƒ๋ฌผ์ „๊ธฐํ™”ํ•™์  ์งˆ์†Œ ์ œ๊ฑฐ 48 4.3.3 3์ฐจ ์ฒ˜๋ฆฌ๋ฅผ ์œ„ํ•œ ์ƒ๋ฌผ์ „๊ธฐํ™”ํ•™์  ์˜ํ–ฅ ์ธ์ž ๋งˆ์ด๋‹ 52 4.3.4 ๋ฏธ์ƒ๋ฌผ ๊ตฐ์ง‘ ๋ถ„์„ 56 4.4 ๊ฒฐ๋ก  60 ์ œ 5 ์žฅ ์ƒ๋ฌผ์ „๊ธฐํ™”ํ•™ ๊ณ ๋„์ฒ˜๋ฆฌ์—์„œ ์ธ๊ฐ€๋œ ์ „๊ณ„์˜ ๊ฐ•๋„์— ๋”ฐ๋ฅธ ์˜ํ–ฅ 61 5.1 ์—ฐ๊ตฌ ๋ชฉ์  61 5.2 ์‹คํ—˜ ๋ฐ ๋ฐฉ๋ฒ• 61 5.2.1 ์ „๊ทน 61 5.2.2 ์ƒ๋ฌผ์ „๊ธฐํ™”ํ•™ ๋ฐ˜์‘์กฐ ์ œ์ž‘ ๋ฐ ์šด์ „ ์กฐ๊ฑด 61 5.2.3 ๋ถ„์„ ๋ฐ ๊ณ„์‚ฐ 64 5.2.4 ๋ฏธ์ƒ๋ฌผ ๋ถ„์„ 64 5.3 ๊ฒฐ๊ณผ ๋ฐ ๊ณ ์ฐฐ 66 5.3.2 ์œ ๊ธฐ๋ฌผ์˜ ์ƒ๋ฌผ์ „๊ธฐํ™”ํ•™์  ์ œ๊ฑฐ 66 5.3.2 ์ƒ๋ฌผ์ „๊ธฐํ™”ํ•™์  ์งˆ์†Œ ์ œ๊ฑฐ 68 5.3.3 ์ „๊ณ„ ๊ฐ•๋„์˜ ์ƒ๋ฌผ์ „๊ธฐํ™”ํ•™์  ์˜ํ–ฅ ์ธ์ž ๋งˆ์ด๋‹ 71 5.3.4 ๋ฏธ์ƒ๋ฌผ ๊ตฐ์ง‘ ๋ถ„์„ 75 5.4 ๊ฒฐ๋ก  79 ์ œ 6 ์žฅ ํ•˜์ˆ˜์ฒ˜๋ฆฌ์‹œ์„ค 2์ฐจ ์ฒ˜๋ฆฌ์ˆ˜์˜ ์ƒ๋ฌผ์ „๊ธฐํ™”ํ•™ ๊ณ ๋„์ฒ˜๋ฆฌ 80 6.1 ์—ฐ๊ตฌ ๋ชฉ์  80 6.2 ์‹คํ—˜ ๋ฐ ๋ฐฉ๋ฒ• 80 6.2.1 ์ „๊ทน ๋ฐ ์ „๋„์„ฑ ๋ฌผ์งˆ 80 6.2.2 ์ƒ๋ฌผ์ „๊ธฐํ™”ํ•™ ๋ฐ˜์‘์กฐ ์ œ์ž‘ ๋ฐ ์šด์ „ ์กฐ๊ฑด 81 6.2.3 ๋ถ„์„ ๋ฐ ๊ณ„์‚ฐ 83 5.2.4 ๋ฏธ์ƒ๋ฌผ ๋ถ„์„ 83 6.3 ๊ฒฐ๊ณผ ๋ฐ ๊ณ ์ฐฐ 85 6.3.1 ํ•˜์ˆ˜์ฒ˜๋ฆฌ์žฅ 2์ฐจ ์ฒ˜๋ฆฌ์ˆ˜ ์œ ๊ธฐ๋ฌผ์˜ ์ƒ๋ฌผ์ „๊ธฐํ™”ํ•™์  ์ œ๊ฑฐ 85 6.3.2 ์ƒ๋ฌผ์ „๊ธฐํ™”ํ•™์  ์งˆ์†Œ ์ œ๊ฑฐ 87 6.3.3 ์ „๊ธฐํ™”ํ•™๋ถ„์„ 90 6.3.4 ๋ฏธ์ƒ๋ฌผ ๊ตฐ์ง‘ ๋ถ„์„ 93 6.4 ๊ฒฐ๋ก  97 ์ œ 7 ์žฅ ์‹คํ•˜์ˆ˜์˜ ์ƒ๋ฌผ์ „๊ธฐํ™”ํ•™ ๊ณ ๋„์ฒ˜๋ฆฌ 98 7.1 ์—ฐ๊ตฌ ๋ชฉ์  98 7.2 ์‹คํ—˜ ๋ฐ ๋ฐฉ๋ฒ• 98 7.2.1 ์ „๊ทน ๋ฐ ์ „๋„์„ฑ ๋ฌผ์งˆ 98 7.2.2 ์ƒ๋ฌผ์ „๊ธฐํ™”ํ•™ ๋ฐ˜์‘์กฐ ์ œ์ž‘ ๋ฐ ์šด์ „ ์กฐ๊ฑด 99 7.2.3 ๋ถ„์„ ๋ฐ ๊ณ„์‚ฐ 101 7.3 ๊ฒฐ๊ณผ ๋ฐ ๊ณ ์ฐฐ 102 7.3.1 ์‹คํ•˜์ˆ˜ ์œ ๊ธฐ๋ฌผ์˜ ์ƒ๋ฌผ์ „๊ธฐํ™”ํ•™์  ์ œ๊ฑฐ 102 7.3.2 ์ƒ๋ฌผ์ „๊ธฐํ™”ํ•™์  ์งˆ์†Œ ์ œ๊ฑฐ 104 6.4 ๊ฒฐ๋ก  107 ์ œ 8 ์žฅ ์ข…ํ•ฉ ๊ฒฐ๋ก  108 ์ฐธ๊ณ ๋ฌธํ—Œ 110Docto
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