气候变化领域集成服务门户(CCPortal): Development of land-use regression models to estimate particle mass and number concentrations in Taichung, Taiwan

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DOI	10.1016/j.atmosenv.2021.118303
	Development of land-use regression models to estimate particle mass and number concentrations in Taichung, Taiwan
	Chang T.-Y.; Tsai C.-C.; Wu C.-F.; Chang L.-T.; Chuang K.-J.; Chuang H.-C.; Young L.-H.
发表日期	2021
ISSN	1352-2310
卷号	252
英文摘要	Land-use regression (LUR) models have been used to estimate particle mass concentration (PMC), but few studies apply it to predict particle number concentration (PNC) at different sizes. This study aimed to determine both PMC and PNC throughout one year to establish predictive models in Taichung, Taiwan. The annual averages of PM10, PM2.5, and PM1 were 71 ± 46 μg/m3, 44 ± 35 μg/m3, and 32 ± 28 μg/m3, respectively. The PNC at size ranges of <0.5 μm, 0.5–1 μm, 1–2.5 μm, 2.5–10 μm, and ≥10 μm were 715098 ± 664879 counts/L, 29053 ± 30615 counts/L, 1009 ± 659 counts/L, 647 ± 347 counts/L, and 3 ± 3 counts/L, respectively. The model-explained variance (R2) values of PM10, PM2.5, and PM1 were 0.42, 0.53, and 0.51, respectively. The magnitude of the R2 values ranged from 0.31 to 0.50 for the PNC with the highest R2 between 0.5 and 1 μm. The differences between the model R2 and the leave-one-out cross-validation R2 ranged from 4% to 8% for PMC and from 3% to 10% for PNC. This study developed LUR models with moderate performance to estimate PMC and PNC at different sizes in an Asian metropolis. The built LUR models may be improved by combining with other open data to increase the predictive capacity. © 2021 Elsevier Ltd
关键词	Land use regression Particle mass concentration Particle number concentration Particulate matter Validity
语种	英语
scopus关键词	Land use; Open Data; Regression analysis; Land use regression; Land-use regression models; Leave-one-out cross validations; Number concentration; Particle number concentration; Predictive capacity; Predictive models; Taichung , Taiwan; Predictive analytics; concentration (composition); land use change; metropolitan area; performance assessment; regression analysis; article; concentration (parameter); land use; leave one out cross validation; particulate matter 10; particulate matter 2.5; Taiwan; validity; Taichung; Taiwan
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/248523
作者单位	Department of Occupational Safety and Health, College of Public Health, China Medical University, Taichung, Taiwan; Institute of Environmental and Occupational Health Sciences, College of Public Health, National Taiwan University, Taipei, Taiwan; Department of Environmental Engineering and Science, Feng Chia University, Taichung, Taiwan; Department of Public Health, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan; School of Public Health, College of Public Health and Nutrition, Taipei Medical University, Taipei, Taiwan; School of Respiratory Therapy, College of Medicine, Taipei Medical University, Taipei, Taiwan; Division of Pulmonary Medicine, Department of Internal Medicine, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan
推荐引用方式 GB/T 7714	Chang T.-Y.,Tsai C.-C.,Wu C.-F.,et al. Development of land-use regression models to estimate particle mass and number concentrations in Taichung, Taiwan[J],2021,252.
APA	Chang T.-Y..,Tsai C.-C..,Wu C.-F..,Chang L.-T..,Chuang K.-J..,...&Young L.-H..(2021).Development of land-use regression models to estimate particle mass and number concentrations in Taichung, Taiwan.ATMOSPHERIC ENVIRONMENT,252.
MLA	Chang T.-Y.,et al."Development of land-use regression models to estimate particle mass and number concentrations in Taichung, Taiwan".ATMOSPHERIC ENVIRONMENT 252(2021).