气候变化领域集成服务门户(CCPortal): Influence of weather and air pollution on concentration change of PM2.5 using a generalized additive model and gradient boosting machine

CCPortal

DOI	10.1016/j.atmosenv.2021.118437
	Influence of weather and air pollution on concentration change of PM2.5 using a generalized additive model and gradient boosting machine
	Cheng B.; Ma Y.; Feng F.; Zhang Y.; Shen J.; Wang H.; Guo Y.; Cheng Y.
发表日期	2021
ISSN	1352-2310
卷号	255
英文摘要	Particulate matter with a diameter of ≤2.5 μm (PM2.5) is a critical air pollutant that adversely affects human health and the ecological environment. Using the data of daily air pollutant concentration and meteorological elements from 2013 to 2020 in Lanzhou, China, we employed the generalized additive model (GAM) and gradient boosting machine (GBM) approaches to analyze the relationship between PM2.5 concentration and environmental factors. The results revealed that the annual average PM2.5 concentration in Lanzhou, China, decreased by 3.98 μg/m3 per year during the study period and the variation of PM2.5 concentration was influenced by many factors. Mean temperature, air pressure, relative humidity, and O3 concentration had significantly negative effects on PM2.5 concentration, whereas CO and NO2 concentrations had significant positive effects. PM2.5 concentration was also high during static winds or high-speed winds. Among these influencing factors, the interactions of meteorological factors and air pollution also had strong correlations with PM2.5 concentration. We found that the multi-factor model could better explain the influence of environmental factors on PM2.5 concentration than the single-factor model. The fitting degree of the GBM was better than that of the GAM model; their mean absolute errors were 11.30 and 11.85, respectively. We also found that the GBM model was more precise for estimating daily PM2.5 concentration, whereas the GAM was more suitable for long-term trend analysis. © 2021 Elsevier Ltd
关键词	Air pollution Generalized additive model Gradient boosting machine Meteorological factors PM2.5
语种	英语
scopus关键词	Additives; Air pollutants; Concentration change; Environmental factors; Generalized additive model; Gradient boosting; Gradient boosting machine; Lanzhou; Meteorological factors; Particulate Matter; PM$-2.5$; Air pollution; carbon monoxide; nitrogen dioxide; ozone; additive; atmospheric pollution; concentration (composition); diameter; environmental factor; error analysis; numerical model; pollutant removal; public health; trend analysis; air pollution; air pressure; air quality; air temperature; Article; China; concentration (parameter); environmental factor; humidity; mathematical model; meteorological phenomena; particulate matter 2.5; priority journal; relative humidity; weather; wind speed; China; Gansu; Lanzhou
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/248418
作者单位	College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
推荐引用方式 GB/T 7714	Cheng B.,Ma Y.,Feng F.,et al. Influence of weather and air pollution on concentration change of PM2.5 using a generalized additive model and gradient boosting machine[J],2021,255.
APA	Cheng B..,Ma Y..,Feng F..,Zhang Y..,Shen J..,...&Cheng Y..(2021).Influence of weather and air pollution on concentration change of PM2.5 using a generalized additive model and gradient boosting machine.ATMOSPHERIC ENVIRONMENT,255.
MLA	Cheng B.,et al."Influence of weather and air pollution on concentration change of PM2.5 using a generalized additive model and gradient boosting machine".ATMOSPHERIC ENVIRONMENT 255(2021).