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Method for Evaluating Optimal Air Monitoring Sites for SO2 in Ulsan

울산광역시 아황산가스(SO2)의 최적관측소 평가방법

  • Lim, Junghyun (Department of Statistics, Daegu University) ;
  • Yoon, Sanghoo (Department of Computer Science and Statistics, Daegu University)
  • 임정현 (대구대학교 통계학과) ;
  • 윤상후 (대구대학교 전산통계학과)
  • Received : 20170631
  • Accepted : 2017.09.06
  • Published : 2017.09.30

Abstract

Manufacturing and technology industries produce large amounts of air pollutants. Ulsan Metropolitan City, South Korea, is well-known for its large industrial complexes; in particular, the concentration of $SO_2$ here is the highest in the country. We assessed $SO_2$ monitoring sites based on conditional and joint entropy, because this is a common method for determining an optimal air monitoring network. Monthly $SO_2$ concentrations from 12 air monitoring sites were collected, and the distribution of spatial locations was determined by kriging. Mean absolute error, Root Mean Squared Error (RMSE), bias and correlation coefficients were employed to evaluate the considered algorithms. An optimal air monitoring network for Ulsan was suggested based on the improvement of RMSE.

Keywords

Air monitoring sites;Entropy;Kriging;Sulfur dioxide

Acknowledgement

Supported by : 한국연구재단

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