Spatial and temporal analysis of Air Pollution Index and its timescale-dependent relationship with meteorological factors in Guangzhou, China, 2001-2011

Li, Li, Qian, Jun, Ou, Chun-Quan, Zhou, Ying-Xue, Guo, Cui and Guo, Yuming (2014) Spatial and temporal analysis of Air Pollution Index and its timescale-dependent relationship with meteorological factors in Guangzhou, China, 2001-2011. Environmental Pollution, 190 75-81. doi:10.1016/j.envpol.2014.03.020


Author Li, Li
Qian, Jun
Ou, Chun-Quan
Zhou, Ying-Xue
Guo, Cui
Guo, Yuming
Title Spatial and temporal analysis of Air Pollution Index and its timescale-dependent relationship with meteorological factors in Guangzhou, China, 2001-2011
Journal name Environmental Pollution   Check publisher's open access policy
ISSN 0269-7491
1873-6424
Publication date 2014-01-01
Year available 2014
Sub-type Article (original research)
DOI 10.1016/j.envpol.2014.03.020
Open Access Status Not Open Access
Volume 190
Start page 75
End page 81
Total pages 7
Place of publication Amsterdam, The Netherlands
Publisher Elsevier Ltd
Language eng
Subject 2310 Pollution
2307 Health, Toxicology and Mutagenesis
3005 Toxicology
Abstract There is an increasing interest in spatial and temporal variation of air pollution and its association with weather conditions. We presented the spatial and temporal variation of Air Pollution Index (API) and examined the associations between API and meteorological factors during 2001-2011 in Guangzhou, China. A Seasonal-Trend Decomposition Procedure Based on Loess (STL) was used to decompose API. Wavelet analyses were performed to examine the relationships between API and several meteorological factors. Air quality has improved since 2005. APIs were highly correlated among five monitoring stations, and there were substantial temporal variations. Timescale-dependent relationships were found between API and a variety of meteorological factors. Temperature, relative humidity, precipitation and wind speed were negatively correlated with API, while diurnal temperature range and atmospheric pressure were positively correlated with API in the annual cycle. Our findings should be taken into account when determining air quality forecasts and pollution control measures.
Keyword Air pollution
Meteorological factors
Seasonal-Trend Decomposition Procedure Based on Loess
Timescale dependent relationship
Wavelet analysis
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2015 Collection
School of Public Health Publications
 
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