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      MODIS 위성영상 기반 중국발 월경성 초미세 먼지 극한 현상 탐지 = Detection of Transboundary Ultrafine Dust Extreme Events from China Based on MODIS Satellite Imagery

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      https://www.riss.kr/link?id=A107986994

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      The purpose of this study is to explore the spatio-temporal patterns of transboundary ultrafine dust extreme events (TUDEE), which migrate from China toward neighboring countries in East Asia based on longterm (2001-2020) monthly MODIS satellite imagery data (MOD08_M3). The characteristics of the atmospheric circulation related to their dispersal in extreme cases are also examined by analyzing the NCEP-NCAR reanalysis I data. Long-term average maps of monthly maximum MODIS Aerosol Optical Depth (AOD) show that the TUDEE with “Very Bad”level (exceeding 1.5 of AOD) originates mainly from northeastern China (115-120°E, 30-40°N). It is also observed that the southeastward propagation of ultrafine dust plumes following the northwesterlies exacerbates the air quality over Yellow Sea as well as over the western region of the Korean Peninsula. The intensity of TUDEE moving from China toward the western region of the Korean Peninsula is enhanced between earlyspring and mid-spring (March-April), when the significant amount of ultrafine dust from fossil fuel consumption for heating and manufacturing in China can be stagnant over Yellow Sea due to the weakened northwesterly wind compared with that in winter. Time series data of monthly maximum AOD demonstrate that the intensity of TUDEE from China is persistent without decreasing trend even in the late 2010s. Analyses of synoptic climate charts for extreme cases reveal that the formation of anomalous anti-westerlies across East Asia by weaker Aleutian low pressure as well as the formation of stable vertical atmospheric structure help the stagnation of severe ultrafine dust plume over Yellow Sea. It is also notable that the dry air condition indicated by negative anomalies of precipitable water in southern China may also contribute to more intense TUDEE from China toward the neighboring countries including South Korea.
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      The purpose of this study is to explore the spatio-temporal patterns of transboundary ultrafine dust extreme events (TUDEE), which migrate from China toward neighboring countries in East Asia based on longterm (2001-2020) monthly MODIS satellite image...

      The purpose of this study is to explore the spatio-temporal patterns of transboundary ultrafine dust extreme events (TUDEE), which migrate from China toward neighboring countries in East Asia based on longterm (2001-2020) monthly MODIS satellite imagery data (MOD08_M3). The characteristics of the atmospheric circulation related to their dispersal in extreme cases are also examined by analyzing the NCEP-NCAR reanalysis I data. Long-term average maps of monthly maximum MODIS Aerosol Optical Depth (AOD) show that the TUDEE with “Very Bad”level (exceeding 1.5 of AOD) originates mainly from northeastern China (115-120°E, 30-40°N). It is also observed that the southeastward propagation of ultrafine dust plumes following the northwesterlies exacerbates the air quality over Yellow Sea as well as over the western region of the Korean Peninsula. The intensity of TUDEE moving from China toward the western region of the Korean Peninsula is enhanced between earlyspring and mid-spring (March-April), when the significant amount of ultrafine dust from fossil fuel consumption for heating and manufacturing in China can be stagnant over Yellow Sea due to the weakened northwesterly wind compared with that in winter. Time series data of monthly maximum AOD demonstrate that the intensity of TUDEE from China is persistent without decreasing trend even in the late 2010s. Analyses of synoptic climate charts for extreme cases reveal that the formation of anomalous anti-westerlies across East Asia by weaker Aleutian low pressure as well as the formation of stable vertical atmospheric structure help the stagnation of severe ultrafine dust plume over Yellow Sea. It is also notable that the dry air condition indicated by negative anomalies of precipitable water in southern China may also contribute to more intense TUDEE from China toward the neighboring countries including South Korea.

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      참고문헌 (Reference)

      1 박순애, "한국의 초미세먼지(PM2.5)의 영향요인 분석 : 풍향을 고려한 계절성 원인을 중심으로" 한국환경정책학회 25 (25): 227-248, 2017

      2 문광주, "중국 초미세먼지 현황 및 정책 동향" 한국대기환경학회 34 (34): 373-392, 2018

      3 여민주, "우리나라 지역별 초미세먼지(PM2.5) 농도 추이와 고농도 발생 현황" 한국입자에어로졸학회 15 (15): 45-56, 2019

      4 남기표, "동아시아 지역의 계절별 기상패턴에 따른 우리나라 PM2.5 농도 및 기여도 특성 분석:2015년 집중측정 기간을 중심으로" 한국환경영향평가학회 28 (28): 183-200, 2019

      5 "http://modis.gsfc.nasa.gov"

      6 "http://atmosphere-imager.gsfc.nasa.gov/products/aerosol"

      7 Shaheen, A., "Winter AOD trend changes over the Eastern Mediterranean and Middle East region" 41 (41): 5516-5535, 2021

      8 WHO, "WHO Air Quality Guidelines: Particulate Matter (PM2.5 and PM10), Ozone, Nitrogen Dioxide, Sulfur Dioxide and Carbon Monoxide" 2021

      9 Leeuw, G., "Two decades of satellite observations of AOD over mainland China using ATSR-2, AATSR and MODIS/Terra : data set evaluation and large-scale patterns" 18 (18): 1573-1592, 2018

      10 Kalnay, E., "The NCEP/NCAR 40-year reanalysis project" 77 (77): 437-471, 1996

      1 박순애, "한국의 초미세먼지(PM2.5)의 영향요인 분석 : 풍향을 고려한 계절성 원인을 중심으로" 한국환경정책학회 25 (25): 227-248, 2017

      2 문광주, "중국 초미세먼지 현황 및 정책 동향" 한국대기환경학회 34 (34): 373-392, 2018

      3 여민주, "우리나라 지역별 초미세먼지(PM2.5) 농도 추이와 고농도 발생 현황" 한국입자에어로졸학회 15 (15): 45-56, 2019

      4 남기표, "동아시아 지역의 계절별 기상패턴에 따른 우리나라 PM2.5 농도 및 기여도 특성 분석:2015년 집중측정 기간을 중심으로" 한국환경영향평가학회 28 (28): 183-200, 2019

      5 "http://modis.gsfc.nasa.gov"

      6 "http://atmosphere-imager.gsfc.nasa.gov/products/aerosol"

      7 Shaheen, A., "Winter AOD trend changes over the Eastern Mediterranean and Middle East region" 41 (41): 5516-5535, 2021

      8 WHO, "WHO Air Quality Guidelines: Particulate Matter (PM2.5 and PM10), Ozone, Nitrogen Dioxide, Sulfur Dioxide and Carbon Monoxide" 2021

      9 Leeuw, G., "Two decades of satellite observations of AOD over mainland China using ATSR-2, AATSR and MODIS/Terra : data set evaluation and large-scale patterns" 18 (18): 1573-1592, 2018

      10 Kalnay, E., "The NCEP/NCAR 40-year reanalysis project" 77 (77): 437-471, 1996

      11 NIER, "Summary Report of the 4th stage (2013- 2017) LTP (Joint research project for Long-range Transboundary Air Pollutans in Northeast Asia) Project" 2019

      12 Bao, Z., "Spatial and temporal characteristics of aerosol optical depth over east Asia and their association with wind fields" 15 (15): 455-463, 2008

      13 송창근, "Spatial and Seasonal Variations of Surface PM10 Concentration and MODIS Aerosol Optical Depth over China" 한국기상학회 45 (45): 33-43, 2009

      14 Pablo Orellano, "Short-term exposure to particulate matter (PM10 and PM2.5), nitrogen dioxide (NO2), and ozone (O3) and all-cause and cause-specific mortality: Systematic review and meta-analysis" Elsevier BV 142 : 105876-, 2020

      15 Ma, Z., "Satellite-based spatiotemporal trends in PM2. 5 concentrations : China, 2004-2013" 124 (124): 184-192, 2016

      16 김관철, "MODIS 자료의 에어로졸의 광학적 두께를 이용한 제주지역의 지표면 PM2.5 농도 추정" 대한원격탐사학회 32 (32): 413-421, 2016

      17 최광용, "MODIS 위성영상에 탐지된 동아시아 지역 초미세 먼지의 시·공간적 패턴" 기후연구소 16 (16): 229-245, 2021

      18 Wei, J., "MODIS Collection 6.1 aerosol optical depth products over land and ocean: validation and comparison" 201 : 428-440, 2019

      19 Wei, J., "MODIS Collection 6. 1 3 km resolution aerosol optical depth product : global evaluation and uncertainty analysis" 240 : 117768-, 2020

      20 NIER, "Improvements of CAI (Comprehensive airquality index) in accordance with the Air Quality forecast·alert information" 2014

      21 Choi, J., "Impacts of local vs. trans-boundary emissions from different sectors on PM2.5 exposure in South Korea during the KORUS-AQ campaign" 203 : 196-205, 2019

      22 Kim, S., "Identifying the drivers of PM2. 5 concentration changes between December 2019 and December 2020 in South Korea" 37 (37): 371-387, 2021

      23 Ma, Y., "Estimation of the vertical distribution of particle matter (PM2.5) concentration and its transport flux from lidar measurements based on machine learning algorithms" 21 (21): 17003-17016, 2021

      24 You, W., "Estimating national-scale ground-level PM2. 5 concentration in China using geographically weighted regression based on MODIS and MISR AOD" 23 (23): 8327-8338, 2016

      25 Qingxin Wang, "Estimating PM2.5 Concentrations Based on MODIS AOD and NAQPMS Data over Beijing–Tianjin–Hebei" MDPI AG 19 (19): 1207-, 2019

      26 Feng, Y., "Atmospheric aerosol pollution across China: a spatiotemporal analysis of satellite-based aerosol optical depth during 2000-2016" 12 (12): 843-857, 2019

      27 Liu, C., "Ambient particulate air pollution and daily mortality in 652 cities" 381 (381): 705-715, 2019

      28 Yaolin Lin, "A Review of Recent Advances in Research on PM2.5 in China" MDPI AG 15 (15): 438-, 2018

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2022 평가예정 재인증평가 신청대상 (재인증)
      2019-01-01 평가 등재학술지 유지 (계속평가) KCI등재
      2016-01-01 평가 등재학술지 유지 (계속평가) KCI등재
      2012-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2011-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2009-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.63 0.63 0.67
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.71 0.67 0.962 0.3
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