Version 1
: Received: 15 September 2018 / Approved: 16 September 2018 / Online: 16 September 2018 (09:09:01 CEST)
Version 2
: Received: 27 September 2018 / Approved: 27 September 2018 / Online: 27 September 2018 (05:15:40 CEST)
How to cite:
Son, S.; Kim, D.; Kang, Y.; Jeon, H.; Kim, S.; Cho, K.; Yu, J. Fine-Resolution Mapping of Fine Dust Concentration in Urban Areas and Population Exposure Analysis via Dispersion Modeling. Preprints2018, 2018090280. https://doi.org/10.20944/preprints201809.0280.v2.
Son, S.; Kim, D.; Kang, Y.; Jeon, H.; Kim, S.; Cho, K.; Yu, J. Fine-Resolution Mapping of Fine Dust Concentration in Urban Areas and Population Exposure Analysis via Dispersion Modeling. Preprints 2018, 2018090280. https://doi.org/10.20944/preprints201809.0280.v2.
Cite as:
Son, S.; Kim, D.; Kang, Y.; Jeon, H.; Kim, S.; Cho, K.; Yu, J. Fine-Resolution Mapping of Fine Dust Concentration in Urban Areas and Population Exposure Analysis via Dispersion Modeling. Preprints2018, 2018090280. https://doi.org/10.20944/preprints201809.0280.v2.
Son, S.; Kim, D.; Kang, Y.; Jeon, H.; Kim, S.; Cho, K.; Yu, J. Fine-Resolution Mapping of Fine Dust Concentration in Urban Areas and Population Exposure Analysis via Dispersion Modeling. Preprints 2018, 2018090280. https://doi.org/10.20944/preprints201809.0280.v2.
Abstract
It is currently difficult to obtain accurate fine dust information in residential areas due to the insufficient number of air quality monitoring systems and spatial imbalances. Therefore, a detailed particulate matter dispersion model including factors such as land use and meteorological information was developed in this study and used to create fine dust concentration distribution maps. The fine dust concentration distribution maps currently available to citizens were compared with those obtained by dispersion modeling, and population distribution data were employed to compare the populations exposed to fine dust according to the two methods. The results of the existing method and the developed particulate matter dispersion model differed significantly. For instance, the PM2.5 concentrations in Daejeon, South Korea, on February 17, 2018, were 56% “Good” and 44% “Moderate,” according to the existing method, while they were 31% “Good,” 26% “Moderate,” 28% “Unhealthy,” and 15% “Very Unhealthy,” according to the dispersion model. Furthermore, the existing method indicated that no portion of the population was exposed to poor fine dust concentrations, while the proposed model revealed that over 170 thousand people were exposed to such concentrations. These results on fine dust distributions will contribute to sustainable urban and environmental planning.
Keywords
atmospheric pollution; dispersion modeling; particulate matter; urban and environmental planning; public health
Subject
EARTH SCIENCES, Environmental Sciences
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
