연구동향 분석

서울시 초미세먼지(PM2.5) 지역별 극단치 분석

오장욱 임태진 2019년

논문상세정보
인용/피인용
' 서울시 초미세먼지(PM2.5) 지역별 극단치 분석' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • Air Quality
  • Extreme Value Theory (EVT)
  • Fine Particulate Matter (PM2.5)
  • Generalized Extreme Value (GEV) Distribution
  • Generalized Pareto Distribution (GPD)
  • Return Level
  • Return Period
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
54 0

0.0%

' 서울시 초미세먼지(PM2.5) 지역별 극단치 분석' 의 참고문헌

  • ggplot2
    Wickham, H. [2011]
  • WHO Global Urban Ambient Air Pollution
    WHO [2016]
  • Transboundary Health Impacts of Transported Global Air Pollution and International Trade
    Zhang, Q. [2017]
  • The Malaysia PM10 analysis using extreme value
    Ahmat, H. [2015]
  • The Economic Consequences of Outdoor Air Pollution
    OECD [2016]
  • Spatio-temporal Analysis of ParticulAte Matter Extremes in Seoul: Use of Multiscale Approach
    S. Park [2017]
  • Package ‘plyr’. Obtenido de
  • Package ‘evd’
  • Extreme Value Modeling and Risk Analysis: Methods and Applications
    D. K. Dey [2016]
  • Data Integration Model for Air Quality : A Hierarchical Approach to the Global Estimation of Exposures to Ambient Air Pollution
  • Bayesian Extreme Modeling for Non-stationary Air Quality Data
  • Assessment of the Air Pollution Level in the City of Rome(Italy)
  • An Analysis on the Impact of Large-scale Transports of Dust Pollution on Air Quality in East Asia as Observed in Central Korea in 2014
    H. S. Kim [2016]
  • Airkorea
  • A Study on the Health Impact and Management Policy of PM2.5 in Korea I
  • A Study on Construction of PM2.5 Inventory and detailed monitoring