The Journal of the Korea institute of electronic communication sciences (한국전자통신학회논문지)

Korea Institute of Electronic Communication Science (한국전자통신학회)
권호 표지
DOI QR코드

DOI QR Code

A Study on Development of the Meteorological Data Preprocessing Program for Air Pollution Modeling

대기오염 모델링을 위한 기상자료 전처리 프로그램 개발에 관한 연구

  • 임익현 (한려대학교 건설방재공학과) ;
  • 배성환 (한려대학교 전기전자공학과)
  • Received : 2014.10.15
  • Accepted : 2015.01.12
  • Published : 2015.01.31
Download PDF
⟨ Previous Next ⟩

Abstract

Recently, rapid urbanization and industrialization had increased the air pollution in major cities by increasing the fuel consumption. Air pollution models have been widely used for air quality management in many countries. Also, a lot of related studies have been conducted using air dispersion models. In this study, The meteorological preprocessing program was developed to convert the korea meteorological data to the U.S. meteorological data and to expand the usability of air dispersion models of U.S. EPA. In addition, the usability evaluation was carried out through a case study. In the results of the evaluation of the program, this program was accurately convert the Korea meteorological data to the U.S. meteorological data, and the prediction was carried out without a error in air quality modeling. Therefore, the program showed a high utilization as meteorological data pre-processing tool.

최근, 산업화와 도시화로 연료소비가 급격하게 증가하고, 주요 도시들의 대기오염이 심화됨에 따라 대기질 관리를 위해 대기확산모델의 이용 및 개발과 관련된 연구들이 다양하게 진행되고 있다. 본 연구에서는 국내에서 U.S. EPA가 제공하는 대기확산모델의 활용범위 확장을 목적으로 국내 기상자료를 미국 자료체계로의 변환기능과 모델입력용 기상자료의 생성이 가능한 "국내 기상자료 전처리 프로그램"을 개발하고, 사례연구에 적용을 통해서 프로그램의 활용성을 평가하였다. 평가 결과, 국내 기상자료를 미국 자료체계로 정확하게 변환처리하고, 대기질 모델링 과정에서 오류의 발생 없이 예측이 가능하여 향후 국내 기상자료 전처리 도구로 높은 활용성을 나타내었다.

Keywords

References

  1. N. Moon, Y. Lee, Y. Kang, and Y. Kim, The Application of Air Quality Models on Environment Impact Assessment. Seoul, Korea : Environment Institute, Dec. 2005.
  2. K. Kim, K. Park, J. Kim, M. Jang, and E. Kim, "Establishment of Web-based Remote Monitoring System for Greenhouse Environment," J. of the Korea Institute of Electronic Communication Science, vol. 6, no. 1, 2011, pp. 77-83.
  3. S. Ye, S. Yang, and H. Ceong, "The Development on Component-based Environment Information Monitoring System," J. of the Korea Institute of Electronic Communication Science, vol. 7, no. 1. 2012, pp. 195-201. https://doi.org/10.13067/JKIECS.2012.7.1.195
  4. Y. Song, N. Moon, H. Sun, and S. Lee, Study on Practical Guideline of Prediction Models in EIA, Seoul, Korea: Environment Institute, Nov. 2007.
  5. M. IM, E. Jung, H. Hong, J. Kim, S. Kim, and S. Kim, "The Development of a Meteorological Data Conversion Program for Air Dispersion Modeling," Proc. of the 35th Meeting of KOSAE (Korea Society for Atmospheric Environment), 2003, pp. 349-350.
  6. S. Park, "Electronics System Design of a Generic Meteorological Buoy," J. of the Korea Institute of Electronic Communication Science, vol. 5, no. 1, 2010, pp. 51-57.
  7. S. Park, "Air Quality Models and Meteorological Data," Environment Information of KENVA(Korea Environmental Engineers Association), vol. 68, no. 3, 2006, pp. 9-35.
  8. S. Do, "Air Quality and Health Risk Assessment for the City of Daegu Using CALPUFF Diffusion Model," Ph.d's Thesis, Keimyung University, 2010.
  9. K. Jang, K. Kang, J. Lee, S. Jung, Y. Lee, H. Lee, and J. Kim, "A Study on the Comparison of Emission Estimation Method by CAPSS and CEMS," Proc. of the 49th Meeting of KOSAE (Korea Society for Atmospheric Environment), 2009, pp. 434-435.

Cited by

  1. Web-Based Data Processing and Model Linkage Techniques for Agricultural Water-Resource Analysis vol.57, pp.5, 2015, https://doi.org/10.5389/KSAE.2015.57.5.101