气候变化领域集成服务门户(CCPortal): Comparison of different hybrid modeling methods to estimate intraurban NO2 concentrations

CCPortal

DOI	10.1016/j.atmosenv.2020.117907
	Comparison of different hybrid modeling methods to estimate intraurban NO2 concentrations
	Oh I.; Hwang M.-K.; Bang J.-H.; Yang W.; Kim S.; Lee K.; Seo S.; Lee J.; Kim Y.
发表日期	2021
ISSN	13522310
卷号	244
英文摘要	Exposure to air pollution has a significant impact on the health of urban populations, so the improvement of methods that model the concentrations of air pollutants within complex urban areas is important in health studies to adequately asses the exposure of the population. This paper presents several hybrid, high-resolution models to simulate the variability of ambient NO2 concentrations in Seoul, the capital of South Korea. These models combine the Community Multiscale Quality (CMAQ) as a regional photochemical model with a fine scale model of either the California Puff dispersion model (CALPUFF) or the land use regression model (LUR). We compared high-resolution estimates of the spatial NO2 concentration from four different hybrid models, including 1) raw CMAQ-CALPUFF; 2) observation-fused CMAQ-CALPUFF; 3) raw CMAQ-LUR; and 4) observation-fused CMAQ-LUR. We conducted numerical simulations of the NO2 concentrations during the winter season and compared the results with field data obtained from mobile measurements captured from December 2017 to February 2018. The results indicate that observation-fused hybrid models offered improved agreement with the mobile measurements: for the CMAQ-CALPUFF model, statistical bias and error were reduced to about 82% and 57%, respectively by using observation-fused CMAQ. We also found significant differences in the sub-grid variability of the NO2 concentrations for the different hybrid models. The predictions obtained with CMAQ-CALPUFF showed concentrations that were more widely distributed (1.7 and 1.4 times for the 10–90th range, observation-fused case) when compared to the only-CMAQ and CMAQ-LUR predictions, respectively. Our study suggests that a properly evaluated hybrid model can increase the predictive accuracy of air pollutant concentration in complex urban areas to improve exposure assessments in health studies. © 2020 Elsevier Ltd
英文关键词	Air pollution; CALPUFF; CMAQ; Hybrid model; LUR; NO2
语种	英语
scopus关键词	Health; Land use; Nitrogen oxides; Odor control; Regression analysis; Air pollutant concentrations; Exposure assessment; High-resolution models; Hybrid modeling methods; Improvement of methods; Land-use regression models; Regional photochemical modeling; Sub-grid variability; Air pollution; nitric oxide; accuracy assessment; air quality; ambient air; atmospheric pollution; comparative study; concentration (composition); estimation method; nitrous oxide; numerical method; pollution exposure; urban pollution; air pollution; air quality; Article; chemoluminescence; controlled study; environmental exposure; environmental temperature; geographic information system; intermethod comparison; land use; leave one out cross validation; priority journal; South Korea; urban area; Seoul [South Korea]; South Korea; Equus asinus; Neptunia
来源期刊	Atmospheric Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/144868
作者单位	Environmental Health Center, University of Ulsan College of Medicine, Ulsan, 44033, South Korea; Department of Occupational Health, Catholic University of Daegu, Gyeongbuk-do38430, South Korea; Department of Environmental Safety Engineering, Ajou University, Suwon, 16499, South Korea; Graduate School of Public Health, Seoul National University, Seoul, 08826, South Korea; Department of Environmental Health and Safety, Eulji University, Gyeonggi-do13135, South Korea; Department of Occupational and Environmental Medicine, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, 44033, South Korea
推荐引用方式 GB/T 7714	Oh I.,Hwang M.-K.,Bang J.-H.,et al. Comparison of different hybrid modeling methods to estimate intraurban NO2 concentrations[J],2021,244.
APA	Oh I..,Hwang M.-K..,Bang J.-H..,Yang W..,Kim S..,...&Kim Y..(2021).Comparison of different hybrid modeling methods to estimate intraurban NO2 concentrations.Atmospheric Environment,244.
MLA	Oh I.,et al."Comparison of different hybrid modeling methods to estimate intraurban NO2 concentrations".Atmospheric Environment 244(2021).