• Journal of Preventive Medicine and Public Health
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• 제7권2호
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• pp.373-375
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• 1974

일산화(一酸化) 탄소(炭素)에 대한 피해와 대기오염(大氣汚染) 기준을 아황산(亞黃酸)까스를 기준으로 한다는 데의 관심을 가지고 가정에서 많이 사용하고 인는 연탄을 중심으로 관찰한 결과 CO는 연소온도와 비례하나 $SO_2$는 비례하지 않으며 일단 발생된 CO는 적어도 24시간(時間) 이내에는 변화가 거의 없으며 비교적 장시간 유지한다. $SO_2$는 대기중에서 곧 변화를 일으켜 ($H_{2}SO_{4}$로 전환) 30분이내에 극소량으로 되므로 대기중의 황화물 측정은 $SO_2$보다 유황자체나 $H_{2}SO_{4}$를 측정함이 더욱 효과적이라 하겠다.

• 한국화재소방학회:학술대회논문집
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• 한국화재소방학회 2010년도 추계학술발표회 자료집
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• pp.190-194
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• 2010

화재감지기는 화재시 발생되는 열, 연기, 불꽃, 독성가스등의 다양한 연소생성물을 감시한다. 기술의 발전으로 화재 감지방식과 기능이 다양해지고 있으며, 이에 따라 다양한 방식의 감지기들이 개발되고 있다. 최근 진보된 감지기들은 화재로 발생 이전에서 부터 감지, 비화재보에 대한 방지는 물론 감지기의 상태 오염 감도 등의 다양 정보를 제공함으로써 유사시 신속하고 정확한 대응이 가능하도록 발전되고 있다. 이러한 진보된 감지기는 막대한 피해가 예상되는 장소, 대피하는데 많은 시간이 소요되는 장소에 적용되어 인명 및 재산피해를 절감 시키고 있다. 일산화탄소감지기 또한 진보된 감지기로 화재 초기 가연물이 연소할 때 발생하는 일산화탄소를 감시한다. 일반화재의 경우 화재 초기에 가연물이 서서히 연소시 불완전 연소로 인한 다량의 일산화탄소가 발생되기 때문에 기존 열, 연기, 불꽃감지기에 비해 빠른 반응을 보여 화재를 조기에 감지함으로써 조기 대응으로 인한 피해를 줄일 수 있을 것이다. 본 연구에서는 실물화재시험 자료를 바탕으로 CO감지기의 조기 감시능력을 확인하였다. CO감지기는 화재초기 발생되는 일산화탄소를 감지하므로 대피시간이 많이 필요한 장소(병원 노인요양시설 학교 백화점 등), 침대 폼메트리스 훈소화재 발생장소(호텔침실 기숙사 숙박업소, 병실 등)등에 적응성이 우수할 것으로 분석된다. 최근 설계되는 초고층 건축물 및 주요 시설물 등에서 화재 시뮬레이션과 가상시나리오 유형 분석을 통해 성능위주의 설계가 적용되고 있다. 그만큼 정확하고 신속한 감지가 중요하다 할 수 있다. CO감지기야 말로 그 기대에 가장 부합될 것으로 분석된다.

• 센서학회지
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• 제23권5호
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• pp.342-348
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• 2014

This paper introduced a novel multi-gas sensor detector with simple signal processing algorithm. This device was evaluated by investigating the characteristics of combustible materials using fire-generated smell and smoke. Plural sensors including TGS821, TGS2442, and TGS260X were equipped to detect carbon monoxide, hydrogen gas, and gaseous air contaminants which exist in cigarette smoke, respectively. Signal processing algorithm based on the difference of response times in fire-generated gases was implemented with early and accurately fire detection from multiple gas sensing signals. All fire experiments were performed in a virtual fire chamber. The cigarette, cotton fiber, hair, polyester fiber, nylon fiber, paper, and bread were used as a combustible material. This analyzing software and sensor controlling algorithm were embedded into 8-bit micro-controller. Also the detected multiple gas sensor signals were simultaneously transferred to the personnel computer. The results showed that the air pollution detecting sensor could be used as an efficient sensor for a fire detector which showed high sensitivity in volatile organic compounds. The proposed detecting algorithm may give more information to us compared to the conventional method for determining a threshold value. A fire detecting device with a multi-sensor is likely to be a practical and commercial technology, which can be used for domestic and office environment as well as has a comparatively low cost and high efficiency compared to the conventional device.

• Journal of Preventive Medicine and Public Health
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• 제5권1호
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• pp.1-7
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• 1972

During the period from June 1st 1971 to November 30 th 1971, studies on air pollution were made in Kwangju city. The city was divided into 6 areas; the downtown area, the semi-downtown area, the heavy traffic area, the commercial area, the residential area, the park area, 13 surveying sites were selected each representing the characteristics of the area. The Measurement methods which were used are described below. Sulfur oxides were measured by $PbO_2$ cylinder method, sulfur dioxides ($SO_2$) and carbon monoxide (CO) by the MSA & Kitakwa detector, dustfall by the Deposit gauge method, and the noise levels by the Kanomax soundlevel meter. The results obtained are as follows: 1. The mean value of sulfur oxides in Kwangju city was $1.16mg\;SO_3/day/100cm^2\;PbO_2$, ranging from $0.45mg\;SO_3/day/100cm^2\;PbO_2$ to $3.10mg\;SO_3/day/100cm^2\;PbO_2$. 2. The mean values of sulfur oxides according to its specific area in the city were $1.45mg\;SO_3/day/100cm^2\;PbO_2$ in heavy traffic area, 1.36 in downtown area, 1.23 in semi-downtown area, 1.11 in commercial area, 0.96 in residential area, and 1.07 in park area, respectively. 3. The average concentration of sulfur dioxide was 0.063 ppm from 2 to 5 P.M in Kwangju city. 4. The average concentrations of sulfur dioxides according to its specific area, from 2 to 5 P.M, in the city were 0.084 ppm in heavy traffic area & downtown area, 0.067 in commercial area, 0.053 in semi-downtown area, 0.052 in residential area, and 0.036 in park area. 5. The average concentration of carbon monoxide was 22.3 ppm from 2 to 5 P.M, in Kwangju city. 6. The average concentrations of carbon monoxide according to its specific area, from 2 to 5 P.M, in the city were 27.0 ppm in downtown area, 26.3 in semi-downtown area, 23.0 in heavy traffic area, 21.7 in commercial area, 20.0 in residential arera, and 17.6 in park area. 7. The mean value of dusifall in Kwangju city was $29.28ton/km^2/month$, ranging from $9.85ton/km^2/month$ to $66.34ton/km^2/month$. 8. The mean values of dustfall according to its specific area in the city were $50.37ton/km^2/month$ in semi-downtown area, 42.76 in heavy traffic area, 34.67 in downtown area, 17.77 in commercial area, 14.40 in park area, and 14.76 in residential area. 9. The mean values of the soluble dust in Kwangju city was $10.23ton/Km^2/month$ and that of the insoluble dust was $19.05ton/Km^2/month$. 10. The mean value of noise level in Kwangju city was 62 phon, ranging from 37 phon to 88 phon. 11. The mean values of noise level according to its specific area in the city were 76 phon in heavy traffic area, 67 in semi-downtown area, 64 in downtown area, 59 in commercial area, 52 in part area, and 50 in residential area.

• 대한기계학회논문집B
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• 제34권4호
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• pp.417-422
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• 2010

1.7L 커먼 레일 직접 연료분사 디젤엔진과 초저유황 스웨덴 디젤 연료를 이용하여 연료분사시기 8.5CA BTDC~0.5CA BTDC 와 배기가스 재순환률 37%, 43%, 48% 영역에서 실험을 수행하였다. 각각의 배기가스 재순환률에 대하여 연료분사시기가 지각됨에 따라 매연과 질소산화물이 동시에 저감되나 탄화수소와 일산화탄소는 증가하는 저온 디젤 연소영역에 있음을 확인하였다. 탄화수소를 가스크로마토그래프와 불꽃 이온 검출기를 사용하여 종 분석을 수행하였으며, 연료분사시기가 지각될수록, 그리고 배기가스 재순환률이 증가할수록 Partially burned HC, 알켄의 비율이 증가하였다. Partially burned HC 중에서 에텐이, 그리고 Unburned HC 중에서 노말 운데케인이 가장 많이 배출되었다. 이 두 개의 탄화수소 종은 촉매 연구에 사용되는 벤치 플로우리액터 시험에서 대표적인 탄화수소 종으로 사용할 수 있다.

• 한국환경보건학회지
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• 제46권5호
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• pp.555-564
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• 2020

Objectives: To identify and investigate through qualitative and quantitative analysis the hazardous substances generated when compressed wood was burned at a live fire-training center. Methods: Four types of compressed wood that are actually used in live fire training were burned in a chamber according to KS F2271. The gaseous material was sampled with a gas detector tube and conventional personal samplers. Results: 1,3-butadiene, benzene, toluene, xylene, formaldehyde, hydrogen chloride, hydrogen cyanide, ammonia, carbon monoxide, and nitric acid were detected. In particular, 1,3-butadiene (497.04-680.44 ppm), benzene (97.79-125.02 ppm), formaldehyde (1.72-13.03 ppm), hydrogen chloride (4.71-15.66 ppm), hydrogen cyanide (3.64-8.57 ppm), and sulfuric acid (3.85-5.01 ppm) exceeded the Korean Occupational Exposure Limit as measured by sampling pump according to the type of compressed wood. Conclusions: We found through the chamber testing that firefighters could be exposed to toxic substances during live fire training. Therefore, firefighter protection is needed and more research is required in the field.

• 분석과학
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• 제35권6호
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• pp.249-255
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• 2022

본 연구에서는 기체 크로마토그래피-불꽃이온화검출기(GC-FID)를 이용한 고순도 질소의 새로운 순도분석법을 개발하였다. 고순도 질소에 존재할 수 있는 불순물인 일산화탄소(CO), 이산화탄소(CO₂), 및 메탄(CH₄)에 대한 3 µmol/mol 수준의 인증표준물질(Certified reference material, CRM)을 중량법을 이용하여 제조하였고, 이를 순도분석에 활용하였다. 개발된 순도분석법에서는 운반가스로 초고순도 질소와 순도분석 대상 질소를 사용하여, 제조된 인증표준물질의 기체 크로마토그래피에서 얻어지는 크로마토그램의 면적 값 차이를 비교함으로써 순도분석 대상 질소의 불순물을 정량 분석하였다. 순도분석 대상 질소로는 액체질소 및 제조사가 각기 다른 3곳의 고순도 질소를 사용하였다. 또한, 개발된 순도분석법의 유효성을 평가하기 위하여 순도분석 대상 질소 내 불순물의 물질량 분율을 기존 순도분석법과 비교하였다. 두 가지 순도분석법을 이용하였을 때 대상 질소 내 불순물의 물질량 분율이 불확도 (k = 2) 내에서 서로 일치함을 확인함으로써, 개발된 순도분석법이 유효함을 확인하였다.

• Journal of Advanced Marine Engineering and Technology
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• 제40권3호
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• pp.228-234
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• 2016

승선생활관은 거주밀도가 높으며 유동인구도 특정한 시간에 몰리는 특징을 가지기 때문에 화재와 같은 재난이 발생할 경우 큰 인명피해 발생으로 이어질 수 있다. 이에 이 연구에서는 국내 K대학의 신축 승선생활관을 대상으로 화재 시뮬레이션 프로그램인 FDS를 사용하여 화재발생 시의 위험성을 예측하고 이에 따른 문제점을 분석하여 개선방안을 제시하였다. 연구결과를 정리하면 다음과 같다. 승선생활관 다림질실에서 화재발생 시, 발화 후 65초에 연기감지기가 작동하고, 13초 뒤인 78초에 스프링클러가 작동하기 시작한다. 온도 및 일산화탄소 농도는 각각 241초, 248초에 허용기준 값에 도달하지만, 발화 후 66초에 허용 가시거리 값에 도달하기 때문에, 화재발생 후 적어도 1분 이내에 준비를 끝내고 피난을 개시해야 인명피해가 발생하지 않을 것으로 예측된다. 이 기숙사의 화재위험성 예측 결과를 종합해 보았을 때, 인명안전에 가장 위험한 요소를 가시거리 값으로 판단할 수 있다. 가시거리 확보를 위해 제연설비를 설치할 경우, 제연설비 설치 후 승선생활관 복도의 연기확산이 개선되는 것을 확인할 수 있었다.

• Journal of Preventive Medicine and Public Health
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• 제4권1호
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• pp.41-64
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• 1971

During the period from July 1st to the end of November 1970, a survey on air pollution and noise level was made in Seoul, Pusan and Taegu, the three largest cities in Korea. Each city was divided into 4-6 areas; the industrial area, the semi-industrial area, the commercial area, the residential area, the park area and the downtown area. Thirty eight sites were selected from each area. A. Method of Measurement : Dustfall was measured by the Deposit Gauge Method, sulfur oxides by $PbO_2$ cylinder method, suspended particles by the Digital Dust Indicator, Sulfur dioxide ($SO_2$) and Carbon Monoxide (CO) by the MSA & Kitakawa Detector and the noise levels by Rion Sound Survey meter. B. Results: 1. The mean value of dustfall in 3 cities was $30.42ton/km^2/month$, ranging from 8.69 to 95.44. 2. The mean values of dustfall by city were $33.17ton/km^2/month$ in Seoul, 32.11 in Pusan and 25.97 in Taegu. 3. The mean values of dustfall showed a trend of decreasing order of semi-industrial area, downtown area, industrial area, commercial area, residential area, and park area. 4. The mean value of dustfall in Seoul by area were $52.32ton/km^2/month$ in downtown, 50.54 in semi-industrial area, 40.37 in industrial area, 24,19 in commercial area, 16.25 in park area and 15.39 in residential area in order of concentration. 5. The mean values of dustfall in Pusan by area were $48.27ton/km^2/month$ in semi-industrial area, 36.68 in industrial area 25.31 in commercial area, and 18.19 in residential area. 6. The mean values of dustfall in Taegu by area were $36.46ton/km^2/month$ in downtown area, 33.52 in industrial area, 20.37 in commercial area and 13.55 in residential area. 7. The mean values of sulfur oxides in 3 cities were $1.52mg\;SO_3/day/100cm^2\;PbO_2$, ranging from 0.32 to 4.72. 8. The mean values of sulfur oxides by city were $1.89mg\;SO_3/day/100cm^2\;PbO_2$ in Pusan, 1.64 in Seoul and 1.21 in Taegu. 9. The mean values of sulfur oxides by area in 3 cities were $2.16mg\;SO_3/day/100cm^2\;PbO_2$ in industrial area, 1.69 in semi-industrial area, 1.50 in commercial area, 1.48 in downtown area, 1.32 in residential area and 0.94 in the park area, respectively. 10. The monthly mean values of sulfur oxides contents showed a steady increase from July reaching a peak in November. 11. The mean values of suspended particles was $2.89mg/m^3$, ranging from 1.15 to 5.27. 12. The mean values of suspended particles by city were $3.14mg/m^3$ in Seoul, 2.79 in Taegu and 2.25 in Pusan. 13. The mean values of noise level in 3 cities was 71.3 phon, ranging from 49 to 99 phon. 14. The mean values of noise level by city were 73 phon in Seoul, 72 in Pusan, and 69 in Taegu in that order. 15. The mean values of noise level by area in 3 cities showed a decrease in the order of the downtown area, commercial area, industrial area and semi-industrial area, park area and residential area. 16. The comparison of the noise levels by area in 3 cities indicated that the highest level was detected in the downtown area in Seoul and Taegu and in the industrial area in Pusan. 17. The daily average concentration of sulfur dioxides ($SO_2$) in 3 cities was 0.081 ppm, ranging from 0.004 to 0.196. 18. The daily average concentrations of sulfur dioxides by city were 0.092 ppm in Seoul, 0.089 in Pusan and 0.062 in Taegu in that order. 19. The weekly average concentration of carbon monoxides(CO) was 27.59 ppm. 20. The daily average concentrations of carbon monoxides by city were 33.37 ppm. in Seoul, 25.76 in Pusan and 23.65 in Taegu in that order. 21. The concentration of $SO_2$ and CO reaches a peak from 6 p. m. to 8 p. m. 22. About 3 times probably the daily average concentration of CO could be detected in the downtown area probably due to heavy traffic emission in comparison with that in the industial area. 23. As for daily variation of the concentration of $SO_2$ and CO it was found that the concentration maintains relatively higher value during weekdays in the industrial area and on the first part of the week in the downtown area.