• Title/Summary/Keyword: 악취

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Identification and Treatment of Taste and Odors in Drinking Water (음용수 중의 이취미 발생물질의 규명 및 제어방안)

  • 류재근
    • Journal of Environmental Health Sciences
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    • v.20 no.2
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    • pp.1-13
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    • 1994
  • I. 서론 : 음용수 중의 악취 발생사건은 오염 수돗물에 의한 피해지역이 광범위할 뿐만 아니라 사건발생 즉시 해당 정수장에서 적절히 대처하지 못할 경우 악취 수돗물에 의한 주민의 불안감은 크다고 하겠다. 뿐만 아니라 악취 오염물질을 규명하는 노력이 환경과학 및 환경공학의 체계적이고 구체적인 밑받침이 없이 이루어질 경우 원인물질을 잘못 규정하는 등 구체적인 방향성을 상실하게 되어 많은 수돗물 사용 시민의 음용수 관련행정에 대한 우려와 불신을 증폭시키게 된다. 따라서 음용수의 냄새생성 원인을 규명하고 악취 발생시 정수장 근무자들의 비상 대처방안을 마련하는 것이 시급하다고 하겠다. 본 글에서는 음용수 오염과 관련하여 악취발생의 원인을 발생일자별로 구분하고 그 대처방안에 대하여 검토하였다.

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활성탄소섬유(ACF) 충전층을 이용한 작업현장의 산$\cdot$염기성 악취물질 제거

  • 김기환;김기덕;최봉각;신창섭
    • Proceedings of the Korean Institute of Industrial Safety Conference
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    • 1997.11a
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    • pp.267-270
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    • 1997
  • 악취 물질은 주로 정유공장, 분뇨 처리장, 축산$\cdot$수산 가공업, 화학공장 등에서 발생하며 작업장 내의 직원 뿐만 아니라 인근 지역주민들에게 정신적인 불쾌감을 주는 동시에 인체에 매우 유해한 물질들이다. 이들 악취의 주성분은 메틸머켑탄, 황화수소, 암모니아, 트리메틸아민 등의 물질이다. 이들 물질의 제거 방법에는 약액세정법, 직접연소법, 활성탄흡착법 등이 있다. 이중 활성탄 홉착법은 설비비와 운영경비상의 잇점으로 오랫동안 사용되어져 왔고, 현재도 악취가 많이 발생하는 사업장의 악취 제거 방법으로 널리 사용되고 있다. 그러나 기존의 활성탄을 이용한 흡착제거는 처리효율이 낮고, 이에 따른 흡착제의 충진량이 많아지고 시설용량이 커지는 등의 결점이 있다. 이러한 문제점을 해결하기 위해 활성탄의 성질의 개선과 ACF와 같은 흡착제의 활용등에 대한 연구들이 진행되고 있다. (중략)

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Study on Selecting Biofilter Bed Material for Reducing Odor from Swine Housing (돈사악취저감을 위한 바이오필터용 충진재선발 시험연구)

  • 한원석;장동일;방승훈;송영호;이승주
    • Proceedings of the Korean Society for Agricultural Machinery Conference
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    • 2003.02a
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    • pp.158-164
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    • 2003
  • 현재 우리나라는 축산물 소비증가에 따른 가축사육 두수 증가와 이에 따른 축산 분뇨 및 악취 처리 문제가 심각하게 대두되고 있으며, 특히 악취발생 문제는 환경적 측면에서 최근 심각한 사회문제로 대두되고 있다. 악취처리 기술 가운데 하나인 바이오필터(Biofilter)는 운영비가 적게들고 폐수가 발생되지 않으며, 처리효율이 높은 장점들을 가지고 있다. 또한 기존의 악취처리방법과 달리 담체만을 교체해주기 때문에 폐기물 발생량이 상대적으로 적은 장점이 있다. 현재 바이오필터 충진재는 여러 종류가 개발되었지만 제작단가가 고가이기 때문에 경제적 측면에서 불합리하며, 처리장비의 고정비와 변동비가 경제적으로 많은 부담이 되어 실질적인 현장적용이 어렵다고 판단되어진다. (중략)

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Analysis of Odorous Sulfur compounds in Air by Solid Phase Microextraction (대기중의 악취성 황화물분석을 위한 SPME 분석법)

  • 허귀석;김대원;윤영경;정용순
    • Proceedings of the Korea Air Pollution Research Association Conference
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    • 2000.11a
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    • pp.343-344
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    • 2000
  • 대기중의 황화합물 분석은 현행 우리나라 악취공정시험법에 고시되어 있으나 복잡한 농축장치를 필요로하고 조작법이 복잡하고 시간이 많이 소요된다. 특히 황화합물은 주요 악취물질로서 대기오염을 일으키고 있으며, 극미량에서(ppb) 악취를 발생시키는 악취물질임에도 불구하고 분석방법 및 정확도에 많은 문제점을 갖고 있다. 본 연구에서는 황화물 시료농축이 간단하며, 직접 주입, 분석할 수 있는 SPME(Solid-phase microextraction)을 이용하여 황화물을 신속하게 분석할 수 있는 분석법을 개발하고 저 하였다. 분석방법에 대한 분석재현성, 분석한계를 조사하였으며, 이 분석방법이 대기중 황화물분석 방법으로 활용될 수 있도록 분석법을 확립하고자 하였다. (중략)

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Odor Dispersion Modeling Methodology for Control and Prediction via SeongAm Sanitary Landfill (성암 위생 매립지의 악취오염 제어 예측을 위한 분산모델링 방법론)

  • 이경래;김진석;이현옥;이학성
    • Proceedings of the Korea Air Pollution Research Association Conference
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    • 1999.10a
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    • pp.413-414
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    • 1999
  • 이미 선진국에서는 악취오염의 문제가 대기오염 문제로 관심의 대상이 되고 있다. 일반적으로 악취는 황화수소(H$_2$S), mercaptan류, 아민류 및 기타 자극성 있는 기체상 물질이 사람의 냄새 감각을 자극하여 불쾌감과 혐오감을 주는 냄새로서 정의되어 있다. 본 연구의 목적은 울산의 쓰레기ㆍ폐기물 매립장(삼산/성암/온산)중에서 성암 쓰레기 매립장의 악취 오염도를 분산모델링을 이용한 방법론 개발과 인근 주민의 피해를 예측함과 아울러 차후의 쓰레기ㆍ폐기물 매립장 건설에 있어서 악취오염 제어 및 관리대책을 수립하는데 참고 자료로 활용하고자 한다.(중략)

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Shipboard sewage treatment by SBR process with BM (BM 미생물제제를 이용한 크루즈선 오·폐수 처리)

  • Lee, Eon-Sung;Kim, In-Soo
    • Journal of Navigation and Port Research
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    • v.35 no.10
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    • pp.817-822
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    • 2011
  • Lab scale experiment study was carried out for biological treatment process development in cruise. SBR(Sequence Batch Reactor) process with BM(Beneficial Microorganisms) was investigated for practical application on shipboard sewage treatment. From the results it was suggested that SBR process with BM might be a suitable process for cruise sewage treatment in terms of decrease in odorous compounds, maintenance of useful microorganisms and creating special environmental conditions. By adding BM to SBR system, odor unit of sulfur compounds was about 20 times reduced.

Characteristic of Odorous Compounds Emitted from Livestock Waste Treatment Facilities Combined Methane Fermentation and Composting Process (메탄발효와 퇴비화 공정이 연계된 가축분뇨 처리시설에서 발생되는 악취물질 특성 조사)

  • Ko, Han Jong;Kim, Ki Youn;Kim, Hyeon Tae;Ko, Moon Seok;Higuchi, Takasi;Umeda, Mikio
    • Journal of Animal Science and Technology
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    • v.50 no.3
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    • pp.391-400
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    • 2008
  • Odor management is significantly concerned with sustainable livestock production because odor nuisance is a primary cause for complaint to neighbors. This study was conducted to measure the concentration of odorous compounds, odor intensity, and odor offensiveness at unit process in animal waste treatment facility combined composting and methane fermentation process by an instrumental analysis and direct olfactory method. Ammonia, sulfur-containing compounds, and volatile fatty acid were analyzed at each process units and boundary area in summer and winter, respectively. Higher concentration of odorants occurred in the summer than in the winter due to high ambient temperature. The maximum concentration of odorants was detected in composting pile when mixed manure was being turned followed by inlet, curing, outlet, and screen & packing process. Highest concentration of detected odorous compounds was ammonia ranging from 3.4 to 224.7 ppm. Among the sulfur-containing compounds measured, hydrogen sulfide was a maximum level of 2.3 ppm and most of them exceeded reported odor detection thresholds. Acetic acid was the largest proportion of VFA generated, reaching a maximum of 51 to 89%, followed by propionic and butyric acid at 1.9 to 35% and 1.8 to 15%, respectively. Malodor assessment by a human panel appeared a similar tendency in instrumental analysis data. Odor quotient for predicting major odor-causing compounds was calculated by dividing concentrations measured in process units by odor detection thresholds. In the composting process, hydrogen sulfide, ammonia, dimethyl sulfide, and methyl mercaptan were deeply associated with odor-causing compounds, while the major malodor compounds in the inlet process were methyl mercaptan, hydrogen sulfide, and butyric acid.

Impact Analysis of Complex Odor from Pigsty by Using ISCST3 (ISCST3을 이용한 돈사의 복합악취 영향 분석)

  • Kwon, Woo-Taeg;Hong, Sang-Pyo;Lee, Woo-Sik
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.14 no.12
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    • pp.6602-6609
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    • 2013
  • This study is expected to provide background data for establishing mitigation measures for malodor and for comparing complex odor criteria. The impact of malodor at the afflicted locations was analyzed using Industrial Source Complex Short Term 3 (ISCST3) model, which was recommended by the EPA. The Odor Emission Rates (ODR) for piglets and hogs were predicted based on the average, minimum, and maximum emission rates as classification. The forecasting result of the complex odor modelling of pigsty showed that tolerance limit was exceeded at an adjacent administration building, but tolerance limit was not surpassed at an afflicted location which was within 185m from the pigsty. The ISCST3 modelling of the satisfactory ODR for tolerance limit was accomplished at the administration building. From the prediction of this modelling, maximum emission rates based on 1hr at administration building were 10.59~52.93, 19.05~31.76, and 10.59 $OU/m^3/s/m^2$ at emission rates of 50%, 30%, and 10%. This emission rate was slightly higher than the tolerance limit of 10.00 $OU/m^3/s/m^2$. However, it was inferred that the tolerance limit could be satisfied if the emission rate of 10% was controlled.

A Study about Improvement of Multiple Odor of Public Toilet (Dong-gu, Daejeon) (공중화장실 복합악취 및 개선에 관한 연구 (대전광역시 동구))

  • Jo, Soo-Jun;Shin, Je-Youn;Oh, Sang-Soo;Yu, Dae-Yong;Lee, Sung-Jae
    • Journal of Korean Society of Environmental Engineers
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    • v.37 no.4
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    • pp.240-245
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    • 2015
  • This study aimed to provide the basic data to establish measures for the management of the public toilets and reduction of the offensive odor through the air dilution olfactory method and instrumental analysis about offensive odor dilution rate of public toilets, focusing on the Dong-gu, Daejeon Metropolitan City, Korea. The offensive odor intensities ranged from 10 degree to 669 degrees in the urinal toilets and from 31 to 464 in closet bowl toilets. Meanwhile, toilets that had offensive odor of more than 2.5, of which a civil complaint can be filed, were researched 6 (33%). Offensive odor intensities were different according to the closet bowl toilets of the flush, fermented and conventional methods and the year of their installation, but not according to the area of the toilets. As a result of the instrumental analysis targeting 6 public toilets to identify the offensive odor substance, the maximal concentration of $NH_3$ was 2.04 ppm and the average concentration was 0.67 ppm, but $H_2S$, $CH_3SH$ and $(CH_3)_3N$ were not detected. In the fermented and conventional public toilets were not soaps, air fresheners and wastebaskets. Just 50% of the flush toilets had toilet tissue.

Development of an Ensemble-Based Multi-Region Integrated Odor Concentration Prediction Model (앙상블 기반의 악취 농도 다지역 통합 예측 모델 개발)

  • Seong-Ju Cho;Woo-seok Choi;Sang-hyun Choi
    • Journal of Intelligence and Information Systems
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    • v.29 no.3
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    • pp.383-400
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    • 2023
  • Air pollution-related diseases are escalating worldwide, with the World Health Organization (WHO) estimating approximately 7 million annual deaths in 2022. The rapid expansion of industrial facilities, increased emissions from various sources, and uncontrolled release of odorous substances have brought air pollution to the forefront of societal concerns. In South Korea, odor is categorized as an independent environmental pollutant, alongside air and water pollution, directly impacting the health of local residents by causing discomfort and aversion. However, the current odor management system in Korea remains inadequate, necessitating improvements. This study aims to enhance the odor management system by analyzing 1,010,749 data points collected from odor sensors located in Osong, Chungcheongbuk-do, using an Ensemble-Based Multi-Region Integrated Odor Concentration Prediction Model. The research results demonstrate that the model based on the XGBoost algorithm exhibited superior performance, with an RMSE of 0.0096, significantly outperforming the single-region model (0.0146) with a 51.9% reduction in mean error size. This underscores the potential for increasing data volume, improving accuracy, and enabling odor prediction in diverse regions using a unified model through the standardization of odor concentration data collected from various regions.