http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
신축 공동주택의 VOCs와 알데히드류 성분에 대한 실태조사
임득용,김지현,황인조,김동술 경희대학교 2004 環境硏究 論文集 Vol.13 No.-
In comparison with other studies, in particular, the emission of indoor HCHO in new apartments were very serious and Vacs showed below the Japan's guidelines (260 ㎍/㎥) excepting toluene (324.31 ㎍/㎥). Concentration of volatile organic compounds (VOCs) including aldehydes in indoor air was analyzed at 3 new apartments (at the lower, middle and upper floors of each apartment) during the Spring in 2004. The sample gases of Vacs and aldehydes were collected by Silicon canister (6 L) and 2,4-DNPH cartridges, and the analysis was made by the GC/MSD and PLC. As a result of the analysis, formaldehyde (HCHO) amongst aldehydes was found the highest (874.63 ppb) at the upper floor of C Apt., and the aldehydes' concentrations were S > C > K Apt. each. Also it did not show an apparent variation of characteristics according to floor. The concentration of VOCs was the highest (819.22 ppb) at the upper floor of C Apt. which exhibited in proportion with height.
장기간 대기오염 및 기상측정 자료 (2000~2009)를 이용한 PM10과 NO2의 강수세정 기여율과 바람분산 기여율의 정량적 추정연구
임득용,이태정,김동술 한국대기환경학회 2012 한국대기환경학회지 Vol.28 No.3
Long-term air and weather data monitored during the period of 2000 to 2009 were analyzed to quantitatively estimate the precipitation scavenging and wind dispersion contributions of ambient PM10 and NO2 in Korea. Both air pollutants and meteorological data had been respectively collected from 120 stations by the Ministry of Environment and from 20 weather stations by the Korea Meteorological Administrations in all parts of Korea. To stochastically identify the relation between a meteorological factor and an air pollutant, we initially defined the SR (scavenging ratio) and the DR (dispersion ratio) to separately calculate the precipitation and wind speed effects on the removal of a specific air pollutant. We could then estimate the OSC (overall scavenging contribution) and the ODC (overall dispersion contribution) with considering sectoral precipitation and wind speed probability density distributions independently. In this study, the SRs for both PM10 and NO2 were generally increased with increasing the amounts of precipitation and then the OSCs for PM10 and NO2 were estimated by 22.3% and 15.7% on an average in Korea, respectively. However, the trend of the DR was quite different from that of SR. The DR for PM10was increased with increasing wind speed up to 2.5 m/s and further the DR for NO2 showed a minimum in the range of 1⁄WS‹1.5. The ODCs for PM10 and NO2 were estimated by 14.9% and 1.0% in Korea, respectively. Finally, we have also provided an interesting case study observed in Seoul.
장기간 대기오염 및 기상측정 자료 (2000~2009)를 이용한 PM<sub>10</sub>과 NO<sub>2</sub>의 강수세정 기여율과 바람분산 기여율의 정량적 추정연구
임득용,이태정,김동술,Lim, Deuk-Yong,Lee, Tae-Jung,Kim, Dong-Sool 한국대기환경학회 2012 한국대기환경학회지 Vol.28 No.3
Long-term air and weather data monitored during the period of 2000 to 2009 were analyzed to quantitatively estimate the precipitation scavenging and wind dispersion contributions of ambient $PM_{10}$ and $NO_2$ in Korea. Both air pollutants and meteorological data had been respectively collected from 120 stations by the Ministry of Environment and from 20 weather stations by the Korea Meteorological Administrations in all parts of Korea. To stochastically identify the relation between a meteorological factor and an air pollutant, we initially defined the SR (scavenging ratio) and the DR (dispersion ratio) to separately calculate the precipitation and wind speed effects on the removal of a specific air pollutant. We could then estimate the OSC (overall scavenging contribution) and the ODC (overall dispersion contribution) with considering sectoral precipitation and wind speed probability density distributions independently. In this study, the SRs for both $PM_{10}$ and $NO_2$ were generally increased with increasing the amounts of precipitation and then the OSCs for $PM_{10}$ and $NO_2$ were estimated by 22.3% and 15.7% on an average in Korea, respectively. However, the trend of the DR was quite different from that of SR. The DR for $PM_{10}$ was increased with increasing wind speed up to 2.5 m/s and further the DR for $NO_2$ showed a minimum in the range of $1<WS{\leq}1.5$. The ODCs for $PM_{10}$ and $NO_2$ were estimated by 14.9% and 1.0% in Korea, respectively. Finally, we have also provided an interesting case study observed in Seoul.