본문 바로가기
  • Home

The Distribution Analysis of PM10 in Seoul Using Spatial Interpolation Methods

  • Journal of Environmental Impact Assessment
  • Abbr : J EIA
  • 2009, 18(1), pp.31-39
  • Publisher : Korean Society Of Environmental Impact Assessment
  • Research Area : Engineering > Environmental Engineering

Hong-lae Cho 1 Jeong, Jong Chul 2

1서울대학교
2남서울대학교

Accredited

ABSTRACT

A lot of data which are used in environment analysis of air pollution have characteristics that are distributed continuously in space. In this point, the collected data value such as precipitation, temperature, altitude, pollution density, PM10 have spatial aspect. When geostatistical data analysis are needed, acquisition of the value in every point is the best way, however, it is impossible because of the costs and time. Therefore, it is necessary to estimate the unknown values at unsampled locations based on observations. In this study, spatial interpolation method such as local trend surface model, IDW(inverse distance weighted), RBF(radial basis function), Kriging were applied to PM10 annual average concentration of Seoul in 2005 and the accuracy was evaluated. For evaluation of interpolation accuracy, range of estimated value, RMSE, average error were analyzed with observation data. The Kriging and RBF methods had the higher accuracy than others.

Citation status

* References for papers published after 2023 are currently being built.