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http://dx.doi.org/10.7780/kjrs.2020.36.2.1.4

A Numerical Study on the Effects of Buildings and Topography on the Spatial Distributions of Air Pollutants in a Building-Congested District  

Kang, Geon (Department of Environmental Atmospheric Sciences, Pukyong National University)
Kim, Jae-Jin (Department of Environmental Atmospheric Sciences, Pukyong National University)
Lee, Jae-Bum (Air Quality Forecasting Center, National Institute of Environmental Research)
Publication Information
Korean Journal of Remote Sensing / v.36, no.2_1, 2020 , pp. 139-153 More about this Journal
Abstract
Using a computationalfluid dynamics(CFD) model, thisstudy evaluated the representativeness of an air quality monitoring system (AQMS) in an urban area and presented a methodology to determine the suitable AQMS locations for specific purposes. For this, we selected a 1.6 km × 1.6 km area around the Eunpyeong-gu AQMS (AQMS 111181) as a target area. We conducted simulationsfor two emission scenarios (scenario one: air pollutants transported from inflow boundaries, scenario two: air pollutants emitted from roads). Urban airflows were markedly influenced by mountainous terrain located in the northeast and southeast of the target area, and complicated airflow patterns occurred around the buildings. The distributions of air pollutants were dependent on the terrain (mountain) in scenario one, but the road location and building height in scenario 2. We evaluated whether the AQMS could represent the air quality in the target area based on the simulations for two scenarios. The concentrations simulated at the AQMS were similar in magnitude to the layer mean concentrations, which indicated good representativeness for the air quality in the target area. We also suggested which locations were suitable for different measurement purposes (hot spots, clean zones, average zones, shelter zones, equi-background zones).
Keywords
geographic information system; computational fluid dynamics; air pollutants; road sources; building-congested district;
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Times Cited By KSCI : 2  (Citation Analysis)
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