Comparison of Gaussian Plume Model and Lagrangian Particle Model for the Application of Coastal Air Quality Modelling
American Journal of Environmental and Resource Economics
Volume 4, Issue 4, December 2019, Pages: 152-158
Received: Oct. 11, 2019;
Accepted: Oct. 31, 2019;
Published: Dec. 4, 2019
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Rajib Pokhrel, School of Engineering, Faculty of Science and Technology, Pokhara University, Pokhara, Nepal; School of Urban and Environmental Engineering, College of Urban Science, Incheon National University, Incheon, Republic of Korea
Heekwan Lee, School of Urban and Environmental Engineering, College of Urban Science, Incheon National University, Incheon, Republic of Korea
Incheon is one of the biggest cities located in coastal region where small to big size industries, Incheon sea port, Incheon airport, etc are in operation. The air pollution dispersion from those sources has been major concerns for Incheon coastal area where air emission, dispersion and deposition have been studied using different approaches of monitoring and modeling. Essential meteorological data were acquired by field monitoring and from the published data. GTOPO30 (global digital elevation model with a horizontal grid spacing of 30”) was used as terrain data for AERMOD and USGS 30” resolution terrain data was used in A2C flow/A2C t&d model. Steady state Gaussian plume dispersion based model, i.e. AERMOD, and Lagrangian puff dispersion based model, i.e. A2Cflow/A2Ct&d models, were accomplished by introducing the local meteorological and geographical information to test the performance of models around the unsteady air flow area. AERMOD simulation results showed that the pollutants from the source are transported and dispersed around the sources similar to the average wind flow direction. There was no significant difference in pollutants dispersion regardless of land breeze or sea breeze conditions. On the other hand, the results from Lagrangian puff model showed that the puffs transport, and dispersed around the coast area followed the sea/land breeze pattern. The comparative analysis of pollutants deposition estimated by steady state Gaussian plume model and Lagrangian puff model showed that the Gaussian plume model underestimate the pollution dispersion quantity at the onshore site during day time and overestimate during late night to early morning. Hence the Lagrangian based model is recommended for estimating pollutants dispersion and deposition around the unsteady air flow region.
Comparison of Gaussian Plume Model and Lagrangian Particle Model for the Application of Coastal Air Quality Modelling, American Journal of Environmental and Resource Economics.
Vol. 4, No. 4,
2019, pp. 152-158.
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