A new grid-scale model simulating the spatiotemporal distribution of PM2.5-PAHs for exposure assessment

Chon Lin Lee, Hu Ching Huang, Chin Chou Wang, Chau Chyun Sheu, Chao Chien Wu, Sum Yee Leung, Ruay Sheng Lai, Chi Cheng Lin, Yu Feng Wei, I. Chien Lai, Han Jiang, Wei Ling Chou, Wen Yu Chung, Ming Shyan Huang, Shau Ku Huang

Research output: Contribution to journalArticle

16 Citations (Scopus)

Abstract

Exposure to polycyclic aromatic hydrocarbons (PAHs) associated with ambient air particulate matter (PM) poses significant health concerns. Several modeling approaches have been developed for simulating ambient PAHs, but no hourly intra-urban spatial data are currently available. The aim of this study is to develop a new modeling strategy in simulating, on an hourly basis, grid-scale PM2.5-PAH levels. PM and PAHs were collected over a one-year time frame through an established air quality monitoring network within a metropolitan area of Taiwan. Multivariate linear regression models, in combination with correlation analysis and PAH source identification by principal component analysis (PCA), were performed to simulate hourly grid-scale PM2.5-PAH concentrations, taking criteria pollutants and meteorological variables selected as possible predictors. The simulated levels of 72-h personal exposure were found to be significantly (R = 0.729**, p < 0.01) correlated with those analyzed from portable personal monitors. A geographic information system (GIS) was used to visualize spatially distributed PM2.5-PAH concentrations of the modeling results. This new grid-scale modeling strategy, incorporating the output of simulated data by GIS, provides a useful and versatile tool in personal exposure analysis and in the health risk assessment of air pollution.

Original languageEnglish
Pages (from-to)286-294
Number of pages9
JournalJournal of Hazardous Materials
Volume314
DOIs
Publication statusPublished - Aug 15 2016
Externally publishedYes

Fingerprint

Polycyclic Aromatic Hydrocarbons
Polycyclic aromatic hydrocarbons
PAH
Geographic Information Systems
Particulate Matter
Geographic information systems
modeling
particulate matter
Linear Models
Air
Health risks
Air Pollution
Health
distribution
exposure
Principal Component Analysis
Air pollution
Taiwan
Air quality
Linear regression

Keywords

  • Grid-scale model
  • Hourly intra-urban spatial simulation
  • Human health
  • Multivariate linear regression model
  • PM2.5-PAH

ASJC Scopus subject areas

  • Environmental Engineering
  • Environmental Chemistry
  • Waste Management and Disposal
  • Pollution
  • Health, Toxicology and Mutagenesis

Cite this

A new grid-scale model simulating the spatiotemporal distribution of PM2.5-PAHs for exposure assessment. / Lee, Chon Lin; Huang, Hu Ching; Wang, Chin Chou; Sheu, Chau Chyun; Wu, Chao Chien; Leung, Sum Yee; Lai, Ruay Sheng; Lin, Chi Cheng; Wei, Yu Feng; Lai, I. Chien; Jiang, Han; Chou, Wei Ling; Chung, Wen Yu; Huang, Ming Shyan; Huang, Shau Ku.

In: Journal of Hazardous Materials, Vol. 314, 15.08.2016, p. 286-294.

Research output: Contribution to journalArticle

Lee, CL, Huang, HC, Wang, CC, Sheu, CC, Wu, CC, Leung, SY, Lai, RS, Lin, CC, Wei, YF, Lai, IC, Jiang, H, Chou, WL, Chung, WY, Huang, MS & Huang, SK 2016, 'A new grid-scale model simulating the spatiotemporal distribution of PM2.5-PAHs for exposure assessment', Journal of Hazardous Materials, vol. 314, pp. 286-294. https://doi.org/10.1016/j.jhazmat.2016.04.047
Lee, Chon Lin ; Huang, Hu Ching ; Wang, Chin Chou ; Sheu, Chau Chyun ; Wu, Chao Chien ; Leung, Sum Yee ; Lai, Ruay Sheng ; Lin, Chi Cheng ; Wei, Yu Feng ; Lai, I. Chien ; Jiang, Han ; Chou, Wei Ling ; Chung, Wen Yu ; Huang, Ming Shyan ; Huang, Shau Ku. / A new grid-scale model simulating the spatiotemporal distribution of PM2.5-PAHs for exposure assessment. In: Journal of Hazardous Materials. 2016 ; Vol. 314. pp. 286-294.
@article{45c9a6072918425892c033195712d6b2,
title = "A new grid-scale model simulating the spatiotemporal distribution of PM2.5-PAHs for exposure assessment",
abstract = "Exposure to polycyclic aromatic hydrocarbons (PAHs) associated with ambient air particulate matter (PM) poses significant health concerns. Several modeling approaches have been developed for simulating ambient PAHs, but no hourly intra-urban spatial data are currently available. The aim of this study is to develop a new modeling strategy in simulating, on an hourly basis, grid-scale PM2.5-PAH levels. PM and PAHs were collected over a one-year time frame through an established air quality monitoring network within a metropolitan area of Taiwan. Multivariate linear regression models, in combination with correlation analysis and PAH source identification by principal component analysis (PCA), were performed to simulate hourly grid-scale PM2.5-PAH concentrations, taking criteria pollutants and meteorological variables selected as possible predictors. The simulated levels of 72-h personal exposure were found to be significantly (R = 0.729**, p < 0.01) correlated with those analyzed from portable personal monitors. A geographic information system (GIS) was used to visualize spatially distributed PM2.5-PAH concentrations of the modeling results. This new grid-scale modeling strategy, incorporating the output of simulated data by GIS, provides a useful and versatile tool in personal exposure analysis and in the health risk assessment of air pollution.",
keywords = "Grid-scale model, Hourly intra-urban spatial simulation, Human health, Multivariate linear regression model, PM2.5-PAH",
author = "Lee, {Chon Lin} and Huang, {Hu Ching} and Wang, {Chin Chou} and Sheu, {Chau Chyun} and Wu, {Chao Chien} and Leung, {Sum Yee} and Lai, {Ruay Sheng} and Lin, {Chi Cheng} and Wei, {Yu Feng} and Lai, {I. Chien} and Han Jiang and Chou, {Wei Ling} and Chung, {Wen Yu} and Huang, {Ming Shyan} and Huang, {Shau Ku}",
year = "2016",
month = "8",
day = "15",
doi = "10.1016/j.jhazmat.2016.04.047",
language = "English",
volume = "314",
pages = "286--294",
journal = "Journal of Hazardous Materials",
issn = "0304-3894",
publisher = "Elsevier",

}

TY - JOUR

T1 - A new grid-scale model simulating the spatiotemporal distribution of PM2.5-PAHs for exposure assessment

AU - Lee, Chon Lin

AU - Huang, Hu Ching

AU - Wang, Chin Chou

AU - Sheu, Chau Chyun

AU - Wu, Chao Chien

AU - Leung, Sum Yee

AU - Lai, Ruay Sheng

AU - Lin, Chi Cheng

AU - Wei, Yu Feng

AU - Lai, I. Chien

AU - Jiang, Han

AU - Chou, Wei Ling

AU - Chung, Wen Yu

AU - Huang, Ming Shyan

AU - Huang, Shau Ku

PY - 2016/8/15

Y1 - 2016/8/15

N2 - Exposure to polycyclic aromatic hydrocarbons (PAHs) associated with ambient air particulate matter (PM) poses significant health concerns. Several modeling approaches have been developed for simulating ambient PAHs, but no hourly intra-urban spatial data are currently available. The aim of this study is to develop a new modeling strategy in simulating, on an hourly basis, grid-scale PM2.5-PAH levels. PM and PAHs were collected over a one-year time frame through an established air quality monitoring network within a metropolitan area of Taiwan. Multivariate linear regression models, in combination with correlation analysis and PAH source identification by principal component analysis (PCA), were performed to simulate hourly grid-scale PM2.5-PAH concentrations, taking criteria pollutants and meteorological variables selected as possible predictors. The simulated levels of 72-h personal exposure were found to be significantly (R = 0.729**, p < 0.01) correlated with those analyzed from portable personal monitors. A geographic information system (GIS) was used to visualize spatially distributed PM2.5-PAH concentrations of the modeling results. This new grid-scale modeling strategy, incorporating the output of simulated data by GIS, provides a useful and versatile tool in personal exposure analysis and in the health risk assessment of air pollution.

AB - Exposure to polycyclic aromatic hydrocarbons (PAHs) associated with ambient air particulate matter (PM) poses significant health concerns. Several modeling approaches have been developed for simulating ambient PAHs, but no hourly intra-urban spatial data are currently available. The aim of this study is to develop a new modeling strategy in simulating, on an hourly basis, grid-scale PM2.5-PAH levels. PM and PAHs were collected over a one-year time frame through an established air quality monitoring network within a metropolitan area of Taiwan. Multivariate linear regression models, in combination with correlation analysis and PAH source identification by principal component analysis (PCA), were performed to simulate hourly grid-scale PM2.5-PAH concentrations, taking criteria pollutants and meteorological variables selected as possible predictors. The simulated levels of 72-h personal exposure were found to be significantly (R = 0.729**, p < 0.01) correlated with those analyzed from portable personal monitors. A geographic information system (GIS) was used to visualize spatially distributed PM2.5-PAH concentrations of the modeling results. This new grid-scale modeling strategy, incorporating the output of simulated data by GIS, provides a useful and versatile tool in personal exposure analysis and in the health risk assessment of air pollution.

KW - Grid-scale model

KW - Hourly intra-urban spatial simulation

KW - Human health

KW - Multivariate linear regression model

KW - PM2.5-PAH

UR - http://www.scopus.com/inward/record.url?scp=84964727074&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84964727074&partnerID=8YFLogxK

U2 - 10.1016/j.jhazmat.2016.04.047

DO - 10.1016/j.jhazmat.2016.04.047

M3 - Article

C2 - 27136734

AN - SCOPUS:84964727074

VL - 314

SP - 286

EP - 294

JO - Journal of Hazardous Materials

JF - Journal of Hazardous Materials

SN - 0304-3894

ER -