DOI QR코드

DOI QR Code

Changesin SO2 Pollution by Clustering of Individual Location Factories Scattered throughout Gimpo City

김포시 난립 개별입지 공장 군집화 조정에 따른 SO2 오염도 변화

  • Kim, Hee-Seok (Environmental Planning Institute, Seoul National University)
  • 김희석 (서울대학교 환경계획연구소)
  • Received : 2019.05.08
  • Accepted : 2019.08.01
  • Published : 2019.08.31

Abstract

Many factories indiscriminately located in the vicinity of residential areas need to be adjusted to quasi-industrial parks or new planning management area. In the present work, the changes of atmospheric $SO_2$ concentration according to clustering of individual location factories throughout Gimpo city into a new area were evaluated using a commercial dispersion model, AERMOD. As a result of the evaluation, it was suggested the possibility of improving the pollution through the relocation of individual factories. The combination of relocation and discharge regulation on the stack height may reduce the overall pollution from Gimpo approximately up to 70%, and some areas achieve maximum 87% decrease. However, the area selected as a cluster zone may show a relatively large increase compared to the change in the total pollution level of Gimpo.

주거지 내 위치하거나 매우 인접한 곳에 무분별하게 난립된 개별입지 공장들은 궁극적으로는 준 산업단지 또는 새로운 계획입지로의 조정이 필요하다. 본 연구에서는 김포시 환경을 예로 김포시 전역에 난립된 개별입지 공장들을 새로운 지역으로 군집시킴에 따른 대기 $SO_2$ 오염도의 변화를 AERMOD 모형을 이용하여 평가하였다. 평가결과 개별입지 공장들의 공간 재배치를 통해 김포시 자체 배출원에 의한 오염도를 개선할 수 있는 가능성을 확인하였다. 재배치와 더불어 배출 굴뚝의 높이 조정과 같은 배출규제가 병행되는 경우 김포시 자체 배출원에 의한 오염도를 김포시 전체적으로 볼 때 약 70% 감소 가능하며 행정 구역별로는 최대 약 87% 감소 가능함을 정량적으로 확인하였다. 단, 군집지역으로 선정된 해당 행정구역은 김포시 전체 오염도의 변화 폭과 비교했을 때 상대적으로 큰 오염도 증가가 나타날 수 있다.

Keywords

References

  1. AIHA. 1989. Odor threshold for chemicals with established occupational health standards, Akron, OH: American Industrial Hygiene Association.
  2. Ban YU, Baek JI. 2010. Strategies to build the quasi-industrial park of agglomeration zone composed of independently located companies for sustainable development, The Geographical Journal of Korea. 44(1): 63-75. [Korean Literature]
  3. Ban YU, Son CH, Baek JI, Han KM. 2015. Analyzing the distributional characteristics of independently-located factories in nonurbanized area, Residential Environment Institute of Korea. 13(1): 55-64. [Korean Literature]
  4. Barton CA, Zarzecki CJ, Russell MH. 2012. A site-specific screening comparison of modeled and monitored air dispersion and deposition for perfluorooctanoate. Journal of the Air & Waste Management Association. 60: 402-411. https://doi.org/10.3155/1047-3289.60.4.402
  5. Bin Zou, Wilson JG, Zhan FB, Zeng Y. 2009. Spatially differentiated and source-specific population exposure to ambient urban air pollution. Atmospheric Environment. 43: 3981-3988. doi:10.1016/j.atmosenv.2009.05.022
  6. Bin Zou, Zhan FB, Wilson JG, Zeng Y. 2010. Performance of AERMOD at different time scales. Simulation Modelling Practice and Theory. 18: 612-623. doi:10.1016/j.simpat.2010.01.005
  7. Carbonell LMT, Gacita MS, de Jesus Rivero Oliva J, Garea LC, Rivero ND, Ruiz EM. 2010. Methodological guide for implementation of the AERMOD system with incomplete local data. Atmospheric Pollution Research. 1: 102-111. doi:10.5094/APR.2010.013
  8. Chang JC, Hanna SR. 2004. Air quality model performance evaluation. Meteorol Atmos Phys. 87: 1-30. doi:10.1007/s00703-003-0070-7
  9. Cimorelli AJ, Perry SG, Lee RF, Paine RJ, Venkatram A, Weil JC, Wilson RB. 1996. Current progress in the AERMIC model development program. Preprints. In: 89th Annual Meeting Air and Waste Management Association. Air and Waste Management Association, Pittsburgh, PA, pp. 1-27.
  10. Cimorelli AJ, Venkatram A, Weil JC, Paine RJ, Wilson RB, Lee RF, Peters WD. 2003. AERMOD description of model formulation, U.S. EPA Rep. 454/R-03-002d, 85 pp.
  11. Cimorelli AJ, Perry SG, Venkatram A, Weil JC, Paine RJ, Wilson RB, Lee RF, Peters WD, Brode RW. 2005. AERMOD: a dispersion model for industrial source applications, Part I: general model formulation and boundary layer characterization. Journal of Applied Meteorology. 44: 682-693. https://doi.org/10.1175/JAM2227.1
  12. De Leeuw F, Fiala J. 2009. Indicators on urban air quality, a review of current methodologies. ETC/ACC Technical Paper 2009/8.
  13. EPA. 2003. AERMOD: Latest Features and Evaluation Results. Environmental Protection Agency, United States.
  14. EPA. 2004a. AERMOD: Description of model formulation. Environmental Protection Agency, United States.
  15. EPA. 2004b. User's guide for the AERMOD meteorological preprocessor (AERMET). Environmental Protection Agency, United States.
  16. EPA. 2004c. User's guide for the AERMOD terrain preprocessor (AERMAP). Environmental Protection Agency, United States.
  17. EPA. 2015. Addendum - User's Guide for the AMS/EPA Regulatory Model - AERMOD. Environmental Protection Agency, United States.
  18. EPA. 2016. AERMOD model formulation and evaluation. Environmental Protection Agency, United States.
  19. Factoryon [Internet]. Available from: https://www.femis.go.kr/
  20. Gibson MD, Kundu S, Satish M. 2013. Dispersion model evaluation of $PM_{2.5}$, NOx and $SO_2$ from point and major line sources in Nova Scotia, Canada using AERMOD Gaussian plume air dispersion model. Atmospheric Pollution Research. 4: 157-167. doi:10.5094/APR.2013.016
  21. Gimpo. 2014. The 54th basic statistics of Gimpo, 2014. [Korean Literature]
  22. Gimpo. 2015. Changing the basic plan of Gimpo city in 2020. [Korean Literature]
  23. Hwang SG, Lee S, Park JI. 2018. Spatial-temporal pattern analysis of unplanned factory locations in the Seoul metropolitan area using FEMIS data, Korean Regional Science Association. 34(2): 21-34. [Korean Literature]
  24. Jang S, Han M, Jeong D, Cho BH. 2017. Public perception and environmental behavior towards independently-located factories pollution and adverse health effects in Kimpo, J. Korean. Alcohol. Sci. 18: 81-96. [Korean Literature] https://doi.org/10.15524/KSAS.2017.18.1.081
  25. KEI. 2005. The application of air quality models on environment impact assessment. Korea Environment Institute. [Korean Literature]
  26. KMA. 2016. Detailed analysis report on climate change in Gimpo city, Gyeonggi-do. Korea Meteorological Administration. [Korean Literature]
  27. KMA. Korea Meteorological Administration [Internet]. Available from: http://www.kma.go.kr/
  28. KOSEP. Korea South-East Power Co., Ltd [Internet]. Available from: https://www.koenergy.kr/
  29. KRIHS. 2007. Study on designation criteria and methods for semi-industrial complex, Korea Research Institute for Human Settlements, Report. 1-214
  30. MKE. 2011. Industrial park development strategy and management practices, Ministry of Knowledge Economy, Korea. [Korean Literature]
  31. MOE. 2015. Environment white paper, Ministry of Environment, Korea. [Korean Literature]
  32. NAPES. 2013. National Air Pollutants Emission Service, Korea [Internet]. Available from: http://airemiss.nier.go.kr/
  33. NAPES. 2015. National Air Pollutants Emission Service, Korea [Internet]. Available from: http://airemiss.nier.go.kr/
  34. NGII. National Geographic Information Institute, Korea [Internet]. Available from: https://www.ngii.go.kr/
  35. NIER. 2013. Development of the Asia emission inventory in support of integrated modeling of climate and air quality(III). National Institute of Environmental Research, Korea.
  36. NRC. 1975. Air Quality and stationary source emission control. Washington, DC: The National Academies Press. National Research Council. https://doi.org/10.17226/10840
  37. Park J-H. 2007. Prediction of air quality in Incheon using AERMOD modeling, J. of Korean Society of Environmental Technology. 8(3): 222-232. https://doi.org/10.3796/KSFT.2007.43.3.222
  38. Pathak RK, Wu WS, Wang T. 2009. Summertime PM 2.5 ionic species in four major cities of China: nitrate formation in an ammoniadeficient atmosphere. Atmospheric Chemistry and Physics. 9(5): 1711-1722. https://doi.org/10.5194/acp-9-1711-2009
  39. Perry SG, Cimorelli AJ, Paine RJ, Brode RW, Weil JC, Venkatram A, Wilson RB, Lee RF, Peters WD. 2005. AERMOD: A dispersion model for industrial source applications. part II: model performance against 17 field study databases. Journal of Applied Meteorology. 44: 694-708. doi: 10.1175/JAM2228.1
  40. Rohde RA, Muller RA. 2015. Air pollution in China: mapping of concentrations and sources. PLos ONE 10, e0135749-14. doi:10.1371/journal.pone.0135749
  41. Rzeszutek M, Szulecka A, Oleniacz R, Bogacki M. 2017. Assessment of the AERMOD dispersion model over complex terrain with different types of meteorological data: tracy power plant experiment. E3S Web Conf. 22. 00149-9. doi:10.1051/e3sconf/20172200149
  42. Sax T, Isakov V. 2003. A case study for assessing uncertainty in local-scale regulatory air quality modeling applications, Atmospheric Environment. 37: 3481-3489. https://doi.org/10.1016/S1352-2310(03)00411-4
  43. Trozzi C. 2005. Local, regional and national aspects of emissions inventories. WIT Transactions on Ecology and the Environment. 82: 617-629. doi:10.2495/AIR050621
  44. Trozzi C, Piscitello E, Lena F. 2003. Modeling area, line and point sources for ISC model: methodology, computer interface and case studies, Proc. of U.S. Environmental Protection Agency Conference "Emissions inventories - Applying New Technologies", San Diego, California, USA.
  45. Venkatram A. 1999. Applying a framework for evaluating the performance of air quality models. In: proceedings of the sixth international conference on harmonisation within atmospheric dispersion modeling for regulatory applications, Rouen, France, 11-14 October, 1999.
  46. Venkatram A, Brode R, Cimorelli A, Lee R, Paine R, Perry S, Peters W, Weil J, Wilson R. 2001. A complex terrain dispersion model for regulatory applications. Atmospheric Environment. 35: 4211-4221. doi:10.1016/S1352-2310(01)00186-8
  47. Venkatram A, Isakov V, Yuan J, Pankratz D. 2004. Modeling dispersion at distances of meters from urban sources. Atmospheric Environment. 38: 4633-4641. https://doi.org/10.1016/j.atmosenv.2004.05.018
  48. WHO. 2016. Ambient air pollution: a global assessment of exposure and burden of disease. World Health Organization
  49. Yang W, Lee H. 2016. Analysis of the inflow of independently-located manufacturing factories in non-urbanized area of the capital region, Journal of the Economic Geographical society of Korea. 2: 209-224. [Korean Literature] https://doi.org/10.23841/egsk.2016.19.2.209
  50. Zhang QQ, Wang Y, Ma Q, Yao Y, Xie Y, He K. 2015. Regional differences in Chinese $SO_2$ emission control efficiency and policy implications. Atmos. Chem. Phys. 15: 6521-6533. doi:10.5194/acp-15-6521-2015