Fine-resolution mapping of particulate matter concentration in urban areas and population exposure analysis via dispersion modeling: a study in Daejeon, South Korea

To deliver accurate particulate matter information to citizens, a detailed particulate matter dispersion model including factors such as land use and meteorological information was developed and used to create particulate matter concentration distribution maps for Daejeon Metropolitan City (South Ko...

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Bibliographic Details
Published in:Environmental science and pollution research international 2019-06, Vol.26 (16), p.15857-15871
Main Authors: Son, Seungwoo, Kim, Dongwoo, Kang, Youngeun, Yoon, Jeongho, Jeon, Hyungjin, Kim, Seogcheol, Cho, Kyunghak, Yu, Jaejin
Format: Article
Language:English
Subjects:
Airborne particulates
Approximation
Aquatic Pollution
Artificial intelligence
Atmospheric Protection/Air Quality Control/Air Pollution
Dispersion
Earth and Environmental Science
Ecotoxicology
Environment
Environmental Chemistry
Environmental Health
Environmental planning
Environmental science
Exposure
Land use
Mapping
Modelling
Outdoor air quality
Particulate emissions
Particulate matter
Pollutants
Population
Public health
Research Article
Urban areas
Waste Water Technology
Water Management
Water Pollution Control
Winter
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Summary:To deliver accurate particulate matter information to citizens, a detailed particulate matter dispersion model including factors such as land use and meteorological information was developed and used to create particulate matter concentration distribution maps for Daejeon Metropolitan City (South Korea). The results showed differences from existing particulate matter concentration distribution maps created using established methods. For PM2.5, approximately 3600 concentration maps were constructed. Taking a map as an example, according to existing methods, the PM2.5 concentration was “good” in 56% and “moderate” in 44% of areas. However, according to our modeling, the PM2.5 concentration was good in 31%, moderate in 26%, “unhealthy” in 28%, and “very unhealthy” in 15% of areas. Furthermore, the existing methods indicated that no portion of the population was exposed to poor particulate matter concentrations, while the proposed model found that over 170,000 people were exposed to such concentrations. These results will contribute to sustainable urban and environmental planning.
ISSN:0944-1344
1614-7499
DOI:10.1007/s11356-019-04772-4