dcterms:abstract
  • Numerical simulations were carried out to investigate the impact of SST spatial distribution on the result of air quality modeling. Eulerian photochemical dispersion model CAMx (Comprehensive Air quality Model with eXtensions, version 4.50) was applied in this study and meteorological fields were prepared by RAMS (Regional Atmospheric Modeling System). Three different meteorological fields, due to different SST spatial distributions were used for air quality modeling to assess the sensitivity of CAMx modeling to the different meteorological input data. The horizontal distributions of surface ozone concentrations were analyzed and compared. In each case, the simulated ozone concentrations were different due to the discrepancies of horizontal SST distributions. The discrepancies of land-sea breeze velocity caused the difference of daytime and nighttime ozone concentrations. The result of statistic analysis also showed differences for each case. Case NG, which used meteorological fields with high resolution SST data was most successfully estimated correlation coefficient, root mean squared error and index of agreement value for ground level ozone concentration. The prediction accuracy was also improved clearly for case NG. In conclusion, the results suggest that SST spatial distribution plays an important role in the results of air quality modeling on high ozone episode at coastal region (xsd:string)
dcterms:accessRights
dcterms:alternative
  • Numerical study on the impact of meteorological input data on air quality modeling on high ozone episode at coastal region (xsd:string)
nlon:antecedentSource
  • born digital (xsd:string)
nlon:audienceNote
  • 일반이용자 (xsd:string)
dc:creator
  • 김동혁 (xsd:string)
  • 박순영 (xsd:string)
  • 이순환 (xsd:string)
  • 이화운 (xsd:string)
  • 전원배 (xsd:string)
  • 최현정 (xsd:string)
dcterms:creator
nlon:datePublished
  • 2021-01-12T20:34:09 (xsd:dateTime)
  • 2021-09-01T23:32:20 (xsd:dateTime)
bibframe:extent
  • 11 p (xsd:string)
dc:format
  • application/pdf (xsd:string)
nlon:genre
  • 학술논문 (xsd:string)
nlon:holdingInstitution
  • 국립중앙도서관 (xsd:string)
dcterms:identifier
  • http://www.dbpia.co.kr/view/ar_view.asp?arid=1612777 (xsd:string)
dcterms:isPartOf
bibo:issn
  • 1598-7132 (xsd:string)
dcterms:issued
  • 20110228 (xsd:string)
nlon:kdc
  • 539.905 (xsd:string)
nlon:kdcn
nlon:keyword
  • SST, Air quality modeling, High ozone, Coastal region (xsd:string)
rdfs:label
  • 기상 입력 자료가 연안지역 고농도 오존 수치 모의에 미치는 영향 / Won-Bae Jeon / Hwa Woon Lee / Soon-Hwan Lee / Hyun-Jung Choi / Dong Hyuk Kim / Soon Young Park (xsd:string)
  • 기상 입력 자료가 연안지역 고농도 오존 수치 모의에 미치는 영향 / Won-Bae Jeon / Hwa Woon Lee / Soon-Hwan Lee / Hyun-Jung Choi / Dong Hyuk Kim / Soon Young Park / Won-Bae Jeon / Hwa Woon Lee / Soon-Hwan Lee / Hyun-Jung Choi / Dong Hyuk Kim / Soon Young Park (xsd:string)
nlon:languageNote
  • 한국어 (xsd:string)
nlon:medium
  • 전자자료(Application) (xsd:string)
nlon:publicationPlace
  • 서울 (xsd:string)
  • 한국 (xsd:string)
dc:publisher
  • 한국대기환경학회 (xsd:string)
owl:sameAs
dcterms:tableOfContents
  • Abstract 1. 서론 2. 연구방법 및 실험설계 3. 수평장 모의결과 4. 관측값과의 비교 5. 결론 감사의 글 참고문헌 (xsd:string)
dcterms:title
  • 기상 입력 자료가 연안지역 고농도 오존 수치 모의에 미치는 영향 (xsd:string)
nlon:titleOfHostItem
  • 한국대기환경학회지(국문) (xsd:string)
rdf:type
nlon:typeOfResource
nlon:uci
  • G701:C-00056470273 (xsd:string)