气候变化领域集成服务门户(CCPortal): Input-adaptive linear mixed-effects model for estimating alveolar lung-deposited surface area (LDSA) using multipollutant datasets

CCPortal

DOI	10.5194/acp-22-1861-2022
	Input-adaptive linear mixed-effects model for estimating alveolar lung-deposited surface area (LDSA) using multipollutant datasets
	Fung, Pak Lun; Zaidan, Martha A.; Niemi, Jarkko, V; Saukko, Erkka; Timonen, Hilkka; Kousa, Anu; Kuula, Joel; Ronkko, Topi; Karppinen, Ari; Tarkoma, Sasu; Kulmala, Markku; Petaja, Tuukka; Hussein, Tareq
发表日期	2022
ISSN	1680-7316
EISSN	1680-7324
起始页码	1861
结束页码	1882
卷号	22 期号:3 页码:22
英文摘要	Lung-deposited surface area (LDSA) has been considered to be a better metric to explain nanoparticle toxicity instead of the commonly used particulate mass concentration. LDSA concentrations can be obtained either by direct measurements or by calculation based on the empirical lung deposition model and measurements of particle size distribution. However, the LDSA or size distribution measurements are neither compulsory nor regulated by the government. As a result, LDSA data are often scarce spatially and temporally. In light of this, we developed a novel statistical model, named the input-adaptive mixed-effects (IAME) model, to estimate LDSA based on other already existing measurements of air pollutant variables and meteorological conditions. During the measurement period in 2017-2018, we retrieved LDSA data measured by Pegasor AQ Urban and other variables at a street canyon (SC, average LDSA = 19.7 +/- 11.3 mu m(2) cm(-3)) site and an urban background (UB, average LDSA = 11.2 +/- 7.1 mu m(2) cm(-3)) site in Helsinki, Finland. For the continuous estimation of LDSA, the IAME model was automatised to select the best combination of input variables, including a maximum of three fixed effect variables and three time indictors as random effect variables. Altogether, 696 submodels were generated and ranked by the coefficient of determination (R-2), mean absolute error (MAE) and centred root-mean-square difference (cRMSD) in order. At the SC site, the LDSA concentrations were best estimated by mass concentration of particle of diameters smaller than 2.5 mu m (PM2.5), total particle number concentration (PNC) and black carbon (BC), all of which are closely connected with the vehicular emissions. At the UB site, the LDSA concentrations were found to be correlated with PM2.5, BC and carbon monoxide (CO). The accuracy of the overall model was better at the SC site (R-2=0.80, MAE = 3.7 mu m(2) cm(-3)) than at the UB site (R-2=0.77, MAE = 2.3 mu m(2) cm(-3)), plausibly because the LDSA source was more tightly controlled by the close-by vehicular emission source. The results also demonstrated that the additional adjustment by taking random effects into account improved the sensitivity and the accuracy of the fixed effect model. Due to its adaptive input selection and inclusion of random effects, IAME could fill up missing data or even serve as a network of virtual sensors to complement the measurements at reference stations.
学科领域	Environmental Sciences; Meteorology & Atmospheric Sciences
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
WOS记录号	WOS:000758044500001
来源期刊	ATMOSPHERIC CHEMISTRY AND PHYSICS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/273593
作者单位	University of Helsinki; University of Helsinki; Nanjing University; Finnish Meteorological Institute; Tampere University; University of Helsinki; University of Jordan
推荐引用方式 GB/T 7714	Fung, Pak Lun,Zaidan, Martha A.,Niemi, Jarkko, V,et al. Input-adaptive linear mixed-effects model for estimating alveolar lung-deposited surface area (LDSA) using multipollutant datasets[J],2022,22(3):22.
APA	Fung, Pak Lun.,Zaidan, Martha A..,Niemi, Jarkko, V.,Saukko, Erkka.,Timonen, Hilkka.,...&Hussein, Tareq.(2022).Input-adaptive linear mixed-effects model for estimating alveolar lung-deposited surface area (LDSA) using multipollutant datasets.ATMOSPHERIC CHEMISTRY AND PHYSICS,22(3),22.
MLA	Fung, Pak Lun,et al."Input-adaptive linear mixed-effects model for estimating alveolar lung-deposited surface area (LDSA) using multipollutant datasets".ATMOSPHERIC CHEMISTRY AND PHYSICS 22.3(2022):22.