• 제목/요약/키워드: Atmospheric aerosols

검색결과 382건 처리시간 0.029초

Radiative Properties of Greenhouse Gases, Aerosols and Clouds in Korea

  • Moon, Yun-Seob;Bang, So-Young;Oh, Sung-Nam
    • 한국환경과학회:학술대회논문집
    • /
    • 한국환경과학회 2003년도 International Symposium on Clean Environment
    • /
    • pp.51-54
    • /
    • 2003
  • We analyzed radiative properties of aerosols, $CO^{2}$ and clouds using Optical Properties of Aerosols and Clouds(OPAC) and the Column Radiation Model (CRM). From OPAC, if the soot component is disregarded, dust-like components depict the highest extinction values in the solar spectral range and the lowest. single scattering albedoes, which are attributable to the presence of large particles. In the dust aerosol, the high absorptivity in the infrared may induce a warming of the lower atmospheric layer in the nighttime. The radiative properties of aerosols, clouds and double $CO^{2}$ using the CRM model at Seoul (37N, 127.4 E) on 3 April 2003 were calculated. The solar zenith angle is 65˚ and the surface albedo is 0.1836 during the clear day. The aerosol optical depth change 0.14 to 1.7, which is derived during Asian dust days in Korea. At this time, abedo by aerosols is considered as 0.3. In cloudy condition, the short wave cloud forcing on both the TOA and the surface is -193.89 $Wm^{-2}$ and -195.03 $Wm^{-2}$, respectively, and the long wave cloud forcing is 19.58 $Wm^{-2}$ and 62.08 $Wm^{-2}$, respectively. As a result, the net radiative cloud forcing is -174.31 $Wm^{-2}$ and -132.95 $Wm^{-2}$, respectively. We calculate also radiative heating rates by double $CO^{2}$ during the clear day. The $CO^{2}$ volumn mixing ratio is 3.55E-4.

  • PDF

인자분석을 통한 대기 입자상 물질의 입경별 발생원 추정-Drum impactor를 이용한 2002년 5월 제주도 고산지역 측정을 중심으로 (Size-segregated Sources of Aerosol Estimated by Factor Analysis-For the Measurement using Drum Impactor at Gosan, Jeju Island in May 2002)

  • 한진석;문광주;공부주;류성윤;김영준
    • 한국대기환경학회지
    • /
    • 제20권5호
    • /
    • pp.685-695
    • /
    • 2004
  • Size-segregated measurements of aerosol composition are used to estimate the transport of natural and anthropogenic aerosols at Gosan site during May 2002. The results of measurement show that not only soil dust but also anthropogenic aerosols, including sulfur and enriched trace metals such as Pb, Zn, Cu, are transported to Gosan. This study combines the size- and time-resolved aerosol composition measurements with factor analysis in order to identify some source materials. As a result, coarse particles (2.5${\mu}m$~12${\mu}m$) are influenced by soil, sea-salt, coal, coal combustion, and nonferrous sources. But fine particles have different sources. The fine particles, which the diameter is from 0.56${\mu}m$ to 2.5${\mu}m$, are more affected by road dust, oil combustion, industry. municipal incineration, and ferrous metal sources. The very fine particles, from 0.09${\mu}m$ to 0.56${\mu}m$, mainly supplied by biomass burning, oil combustion, nonferrous and ferrous metal sources.

Himawari-8/AHI 관측자료를 이용한 주요 대기 에어로솔 탐지 및 분류 방법 (Detection and Classification of Major Aerosol Type Using the Himawari-8/AHI Observation Data)

  • 이권호;이규태
    • 한국대기환경학회지
    • /
    • 제34권3호
    • /
    • pp.493-507
    • /
    • 2018
  • Due to high spatio-temporal variability of amount and optical/microphysical properties of atmospheric aerosols, satellite-based observations have been demanded for spatiotemporal monitoring the major aerosols. Observations of the heavy aerosol episodes and determination on the dominant aerosol types from a geostationary satellite can provide a chance to prepare in advance for harmful aerosol episodes as it can repeatedly monitor the temporal evolution. A new geostationary observation sensor, namely the Advanced Himawari Imager (AHI), onboard the Himawari-8 platform, has been observing high spatial and temporal images at sixteen wavelengths from 2016. Using observed spectral visible reflectance and infrared brightness temperature (BT), the algorithm to find major aerosol type such as volcanic ash (VA), desert dust (DD), polluted aerosol (PA), and clean aerosol (CA), was developed. RGB color composite image shows dusty, hazy, and cloudy area then it can be applied for comparing aerosol detection product (ADP). The CALIPSO level 2 vertical feature mask (VFM) data and MODIS level 2 aerosol product are used to be compared with the Himawari-8/AHI ADP. The VFM products can deliver nearly coincident dataset, but not many match-ups can be returned due to presence of clouds and very narrow swath. From the case study, the percent correct (PC) values acquired from this comparisons are 0.76 for DD, 0.99 for PA, 0.87 for CA, respectively. The MODIS L2 Aerosol products can deliver nearly coincident dataset with many collocated locations over ocean and land. Increased accuracy values were acquired in Asian region as POD=0.96 over land and 0.69 over ocean, which were comparable to full disc region as POD=0.93 over land and 0.48 over ocean. The Himawari-8/AHI ADP algorithm is going to be improved continuously as well as the validation efforts will be processed by comparing the larger number of collocation data with another satellite or ground based observation data.

GOCI 자료를 이용한 서울 지역 고농도 미세먼지와 옅은 황사 시 에어로졸 광학적 특성 분석 (Analysis of Aerosol Optical Properties for High Particulate Matters and Light Asian Dust in Seoul Using GOCI)

  • 김덕래;최원준;최명제;김지영;조아라;김상균;김준;문경정
    • 한국대기환경학회지
    • /
    • 제33권3호
    • /
    • pp.233-240
    • /
    • 2017
  • To distinguish between high particulate matter (HPM) and light Asian dust (LAD) events, aerosol optical properties from GOCI were investigated in Seoul from 2014 to 2016. The poor air quality case caused by fine atmospheric particulate matter (i.e., 80<$PM_{10}$<$400{\mu}g/m^3$) is clearly separated from the case of heavy Asian dust that generally shows the $PM_{10}$ concentration more than $400{\mu}g/m^3$. In this study, we have found eight cases for the poor air quality and divided them into the two events(i.e., HPM and LAD). In case of aerosol optical depth (AOD), there was no big difference between two events. However, Angstrom exponent (AE) for HPM events was greater than 1, while that for LAD events less than 1. As a result of comparing aerosol type, non-absorbing fine mode aerosols were dominant for HPM events, but coarse and absorbing coarse mode aerosols for LAD events. Therefore, AE and aerosol type from GOCI can be used to distinguish between two events effectively.

서해안 안흥에서 관측된 에어로솔의 농도 변화 및 크기분포 특성 (Characteristics of Aerosol Mass Concentrations and Size Distribution Measured at Anheung, Korea)

  • 이권호;이규태;김정호;문관호;안준모
    • 한국대기환경학회지
    • /
    • 제34권5호
    • /
    • pp.677-686
    • /
    • 2018
  • An intensive measurement was conducted to study the mass and number concentrations of atmospheric aerosols in Anheung ($36.679^{\circ}N$, $126.186^{\circ}E$), the west coastal measurement site of Korea during December 2017~April 2018. To evaluate relationships between the aerosols and meteorological parameters, comparisons of Optical Particle Counter (OPC) measured data and Auto Weather System (AWS) data were performed. Measured PM mass concentrations are $PM_{10}=42.814{\pm}30.103{\mu}g/m^3$, $PM_{2.5}=29.674{\pm}25.063{\mu}g/m^3$, $PM_1=28.958{\pm}24.658{\mu}g/m^3$, respectively. The PM ratios showed that the $PM_{10}$ concentrations contained about 67.8% of $PM_{2.5}$, while most part of $PM_{2.5}$ was $PM_1$ (about 97.1%). Timely collocation with AWS data were performed, exploring relations with the PM concentrations. PM concentrations can be explained by wind direction and relative humidity conditions. The significant reductions of fine particles in mass and number concentrations may attribute to actions on particle growth and wet removal. In these results, we suppose that the aerosol concentrations and size distributions are affected by inflow direction and air mass sources from the origin.

GMS-5 인공위성 원격탐사 자료를 이용한 대기 에어러솔 모니터링 (Monitoring of Atmospheric Aerosol using GMS-5 Satellite Remote Sensing Data)

  • 이권호;김정은;김영준;서애숙;안명환
    • 한국지리정보학회지
    • /
    • 제5권2호
    • /
    • pp.1-15
    • /
    • 2002
  • 대기중의 에어러솔은 지구복사수지에 영향을 미치는 요소이며 직 간접적인 복사강제효과로 인하여 기후변화인자로 간주되고 있다. 대기 에어러솔은 대기중 체류시간의 시 공간적 불확실성 때문에 GCM 등의 변수로 사용하기 어려운 점을 가지고 있다. 따라서 대기 에어러솔의 기후 및 대기복사에 대한 영향을 규명하기 위하여 대기 에어러솔의 물리 광학적 성질을 밝히는 것이 필요하다. 본 연구에서는 가시영역에서의 대기효과를 분석하기 위하여 대기복사전달 모델인 MODTRAN 3 (Moderate Resolution Transmittance)의 모사결과와 GMS-5 위성의 가시영역 채널을 이용하여 황사 에어로졸의 모니터링을 시도하였다. 본 연구에서는 황사사례를 중심으로 대기 에어러솔에 의한 대기효과를 정량화하기 위한 GMS-5 위성자료와 이를 시뮬레이션 하기 위한 MODTRAN 3 대기복사전달모델을 사용하였다. MODTRAN 3 시뮬레이션 결과로 위성의 채널 알베도와 에어러솔 광학 두께와의 관계를 계산하여 위성자료에서 에어러솔 광학두께에 관한 정보를 추출하였다. 후진궤적분석을 통하여 황사를 포함한 공기덩어리가 고비사막으로부터 중국을 거쳐 한반도에 도달하는 것과 이때 에어러솔 광학두께가 증가하는 현상을 지상관측자료에서 확인할 수 있었다. 또한 위성영상에서 보이는 황사영역은 황사의 이동 현상을 시간대별로 잘 나타나고 있고, 지상관측결과의 비교분석은 10% 내의 오차율을 가지는 범위 안에서 만족할 만한 결과를 보여주었다. 더욱이 같은 황사현상이 발생한 시간대에 한국, 중국과 일본에서 측정된 라이다 관측결과와 모델결과 자료는 황사 에어로졸의 특성을 잘 나타내고 있으므로 향후 대기에어로졸의 모니터링에 대한 중요한 역할을 할 수 있을 것이다.

  • PDF