Browse > Article
http://dx.doi.org/10.12925/jkocs.2015.32.4.649

Fine dust(PM10) emission calculated of Dong-Hae harbor around area using inverse modeling technique  

Kim, Ji-Hyun (Dept. of Environmental and Ocean Construction Engineering, College of Engineering, Kangwon National University)
Park, Young-Koo (Dept. of Environmental and Ocean Construction Engineering, College of Engineering, Kangwon National University)
Publication Information
Journal of the Korean Applied Science and Technology / v.32, no.4, 2015 , pp. 649-660 More about this Journal
Abstract
Data obtained from the Calpuff inverse modeling estimate the emission amount of pollutants, and enable to establish the aim for reduction through the comparison of various cases. This study pursued to accumulate the fundamental data by the Calpuff inverse modeling for five areas in the vicinity of Donghae harbor, which focused on reduction of atmospheric fine dust. As a result of evaluation of the allowed emission amount for local sites, site-D required the most reduction, $4.95{\mu}g/m^2{\cdot}S$, based on the atmospheric guideline, $50{\mu}g/m^3$. The theoretical mitigation could decrease the average concentration of PM10 to $42.6{\mu}g/m^3$ for the study field (Donghae waste water treatment plant). Modeling only for site-A emission showed the potential concentration around the residential area of Donghae harbor, $40{\sim}50{\mu}g/m^3$. However, it will rise over $50{\mu}g/m^3$ with the addition of background level. Therefore no more emission would be allowed. Site-B including commercial area and unpaved field required the reduction of $0.11{\mu}g/m^2{\cdot}S$ due to vehicles and fugitive dust. Site-C and E did not emit additional pollutants.
Keywords
CALPUFF; inverse modeling; PM10; fine dust; Donghae harbor;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
1 V. K. Figueroa, K. R. Mackie, N. Guarriello, and C. D. Cooper, A robust method for estimating landfill methane emissions, J. Air & Waste Manage. Assoc. 59, 925 (2009).   DOI
2 S. S. Joseph, R. R. Francoise, E. F. Mark, and J. Y. Robert, A User's guide for the CALMET meteorological model, Earth Tech, Inc (2000).
3 S. S. David, G. Strimaitis, and J. Y. Robert, Auser's guide for the CALPUFF dispersion model(version 5), Earth Tech, Inc (2000).
4 L. Seaman Nelson, Meteorological modeling for air-quality assessments, Atmospheric Environment, 34(12-14), 2231 (2000).   DOI
5 H. W. Lee, H. Y. Won, H. J. Choi, and H. G. Kim, Numerical Simulation of Effects of Atmospheric Flow Fields Using Surface Observational Data on Dispersion Fields of Air Pollutants in Gwangyang Bay, J. KOSAE., 21(2), 169 (2005).
6 C. B. Lee, J. C. Kim, G. W. Lee, C. U. Ro, and H. K. Kim, Tracer Experiment for the Investigation of Urban Scale Dispersion of Air Pollutants, J. KOSAE., 23(4), 405 (2007).   DOI
7 J. C. Kim and J. B. Lee, Evaluation of the CALPUFF Model Using Improved Meteorological Fields in Complex Terrain of East Sea Coast, J. KOSAE., 25(1), 15 (2009).   DOI
8 S. J. Jeong, CALPUFF and AERMOD dispersion models for estimating odor emissions from industrial complex area sources, Asian Journal of Atmospheric Environment, 5(1), 1-63 (2011).   DOI
9 Y. S. Koo, H. Y. Kwon, E. S. Son, H. J. Jin, B. W. Jung, and G. S. Heo, A Review of the Estimation Methodology of Methane Emission in a Landfill using Inverse Modeling Technique, J. Korean Soc. Odor Res. Eng. 12(3), 111 (2013).   DOI
10 Y. S. Koo, H. J. Park, U. J. Park, J. E. Park, J. S. Lee, S. J. Han, G. S. Heo, and H. J. Jin, An Evaluation of Dispersion Coefficients in CALPUFF using Tracer Experiment, J. Korean Soc. Odor Res. Eng. 10(4), 189 (2011).