Comparison of Gaussian Plume Model and Lagrangian Particle Model for the Application of Coastal Air Quality Modelling

Rajib Pokhrel; Heekwan Lee

doi:doi:10.11648/j.ajere.20190404.16

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Comparison of Gaussian Plume Model and Lagrangian Particle Model for the Application of Coastal Air Quality Modelling

Rajib Pokhrel, Heekwan Lee

Published in American Journal of Environmental and Resource Economics (Volume 4, Issue 4)

Received: 11 October 2019 Accepted: 31 October 2019 Published: 4 December 2019

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Abstract

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.

Published in	American Journal of Environmental and Resource Economics (Volume 4, Issue 4)
DOI	10.11648/j.ajere.20190404.16
Page(s)	152-158
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2019. Published by Science Publishing Group

Keywords

Air Dispersion Modeling, Gaussian Model, Lagrangian Model, Sea/Land Breeze, Coastal Region

References

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[15]	EPA (2004). AERMOD: Description of model formulation. United States Environmental Protection Agency, 8-14.
[16]	Jeong, J., Lee, I.H., Lee, H. (2008). Estimation of the effective region of Sea/Land breeze in west coast using numerical modeling. J. KOSAE 24, 2, 259-270.
[17]	Pokhrel, R., Lee, H. (2011). Estimation of the effective zone of sea/land breeze in a coastal area. APR 2, 106-115.
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APA Style

Rajib Pokhrel, Heekwan Lee. (2019). Comparison of Gaussian Plume Model and Lagrangian Particle Model for the Application of Coastal Air Quality Modelling. American Journal of Environmental and Resource Economics, 4(4), 152-158. https://doi.org/10.11648/j.ajere.20190404.16

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ACS Style

Rajib Pokhrel; Heekwan Lee. Comparison of Gaussian Plume Model and Lagrangian Particle Model for the Application of Coastal Air Quality Modelling. Am. J. Environ. Resour. Econ. 2019, 4(4), 152-158. doi: 10.11648/j.ajere.20190404.16

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AMA Style

Rajib Pokhrel, Heekwan Lee. Comparison of Gaussian Plume Model and Lagrangian Particle Model for the Application of Coastal Air Quality Modelling. Am J Environ Resour Econ. 2019;4(4):152-158. doi: 10.11648/j.ajere.20190404.16

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@article{10.11648/j.ajere.20190404.16,
  author = {Rajib Pokhrel and Heekwan Lee},
  title = {Comparison of Gaussian Plume Model and Lagrangian Particle Model for the Application of Coastal Air Quality Modelling},
  journal = {American Journal of Environmental and Resource Economics},
  volume = {4},
  number = {4},
  pages = {152-158},
  doi = {10.11648/j.ajere.20190404.16},
  url = {https://doi.org/10.11648/j.ajere.20190404.16},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajere.20190404.16},
  abstract = {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.},
 year = {2019}
}

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TY  - JOUR
T1  - Comparison of Gaussian Plume Model and Lagrangian Particle Model for the Application of Coastal Air Quality Modelling
AU  - Rajib Pokhrel
AU  - Heekwan Lee
Y1  - 2019/12/04
PY  - 2019
N1  - https://doi.org/10.11648/j.ajere.20190404.16
DO  - 10.11648/j.ajere.20190404.16
T2  - American Journal of Environmental and Resource Economics
JF  - American Journal of Environmental and Resource Economics
JO  - American Journal of Environmental and Resource Economics
SP  - 152
EP  - 158
PB  - Science Publishing Group
SN  - 2578-787X
UR  - https://doi.org/10.11648/j.ajere.20190404.16
AB  - 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.
VL  - 4
IS  - 4
ER  -

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Author Information

Rajib Pokhrel

School of Engineering, Faculty of Science and Technology, Pokhara University, Pokhara, Nepal
Heekwan Lee

School of Urban and Environmental Engineering, College of Urban Science, Incheon National University, Incheon, Republic of Korea

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APA Style

Rajib Pokhrel, Heekwan Lee. (2019). Comparison of Gaussian Plume Model and Lagrangian Particle Model for the Application of Coastal Air Quality Modelling. American Journal of Environmental and Resource Economics, 4(4), 152-158. https://doi.org/10.11648/j.ajere.20190404.16

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ACS Style

Rajib Pokhrel; Heekwan Lee. Comparison of Gaussian Plume Model and Lagrangian Particle Model for the Application of Coastal Air Quality Modelling. Am. J. Environ. Resour. Econ. 2019, 4(4), 152-158. doi: 10.11648/j.ajere.20190404.16

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AMA Style

Rajib Pokhrel, Heekwan Lee. Comparison of Gaussian Plume Model and Lagrangian Particle Model for the Application of Coastal Air Quality Modelling. Am J Environ Resour Econ. 2019;4(4):152-158. doi: 10.11648/j.ajere.20190404.16

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@article{10.11648/j.ajere.20190404.16,
  author = {Rajib Pokhrel and Heekwan Lee},
  title = {Comparison of Gaussian Plume Model and Lagrangian Particle Model for the Application of Coastal Air Quality Modelling},
  journal = {American Journal of Environmental and Resource Economics},
  volume = {4},
  number = {4},
  pages = {152-158},
  doi = {10.11648/j.ajere.20190404.16},
  url = {https://doi.org/10.11648/j.ajere.20190404.16},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajere.20190404.16},
  abstract = {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.},
 year = {2019}
}

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TY  - JOUR
T1  - Comparison of Gaussian Plume Model and Lagrangian Particle Model for the Application of Coastal Air Quality Modelling
AU  - Rajib Pokhrel
AU  - Heekwan Lee
Y1  - 2019/12/04
PY  - 2019
N1  - https://doi.org/10.11648/j.ajere.20190404.16
DO  - 10.11648/j.ajere.20190404.16
T2  - American Journal of Environmental and Resource Economics
JF  - American Journal of Environmental and Resource Economics
JO  - American Journal of Environmental and Resource Economics
SP  - 152
EP  - 158
PB  - Science Publishing Group
SN  - 2578-787X
UR  - https://doi.org/10.11648/j.ajere.20190404.16
AB  - 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.
VL  - 4
IS  - 4
ER  -

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