Spatial and Temporal Variability of PM2.5 Concentration in China

被引:7
作者
XU Gang [1 ]
JIAO Limin [1 ]
ZHAO Suli [1 ]
CHENG Jiaqi [1 ]
机构
[1] School of Resource and Environmental Sciences,Wuhan University
基金
中国国家自然科学基金;
关键词
air pollution; PM2; 5; spatial-temporal variability; spatial autocorrelation;
D O I
暂无
中图分类号
X51 [大气污染及其防治];
学科分类号
0706 ; 070602 ;
摘要
PMhas become an increasing public concern recently because of its visibility reduction and severe health risks. For the whole year of 2013, hourly PMdata of 496 monitoring sites scattered in 74 cities of China are collected to analyze temporal and spatial variability of PMconcentration. Different temporal scales(seasonal variation, monthly variation and daily variation) and spatial scales(urban versus rural, typical areas and national scale) are discussed. Results show that PMconcentration changes significantly in both long-term and short-term scales. An apparent bimodal pattern exists in daily variation of PMconcentration and the daytime peak appears around 10:00 am while the lowest concentration appears around 16:00 pm. Spatial autocorrelation analysis and Ordinary Kriging are used to characterize spatial variability. Moran’s I of PMconcentration in three typical regions, the Beijing-Tianjin-Hebei region, the Yangtze River Delta region and the Pearl River Delta region, is 0.906, 0.693, 0.746, respectively, which indicates that PMis strong spatial correlated. Spatial distribution of annual PMconcentration simulated by Ordinary Kriging shows that 7.94 million km2(83%) areas fail in meeting the requirement of China’s National Ambient Air Quality Standards Level-2(35 mg/m3) and there are at least three concentrated highly polluted areas across the country.
引用
收藏
页码:358 / 368
页数:11
相关论文
共 15 条
[1]   基于LUR的武汉市PM浓度空间分布模拟 [J].
焦利民 ;
许刚 ;
赵素丽 ;
马明 ;
董婷 ;
李江月 .
武汉大学学报(信息科学版) , 2015, (08) :1088-1094
[2]  
Short-Term Effects of Fine Particulate Matter and Temperature on Lung Function among Healthy College Students in Wuhan, China[J] . Zhang,Yunquan,He,Mingquan,Wu,Simin,Zhu,Yaohui,Wang,Suqing,Shima,Masayuki,Tamura,Kenji,Ma,Lu.International Journal of Environmental Research a . 2015 (7)
[3]  
Spatial and temporal variability of PM 2.5 and PM 10 over the North China Plain and the Yangtze River Delta, China[J] . Jianlin Hu,Yungang Wang,Qi Ying,Hongliang Zhang.Atmospheric Environment . 2014
[4]  
Diurnal and seasonal trends in the apparent density of ambient fine and coarse particles in Los Angeles[J] . Sina Hasheminassab,Payam Pakbin,Ralph J. Delfino,James J. Schauer,Constantinos Sioutas.Environmental Pollution . 2013
[5]   The use of spatial autocorrelation analysis to identify PAHs pollution hotspots at an industrially contaminated site [J].
Liu, Geng ;
Bi, Rutian ;
Wang, Shijie ;
Li, Fasheng ;
Guo, Guanlin .
ENVIRONMENTAL MONITORING AND ASSESSMENT, 2013, 185 (11) :9549-9558
[6]  
Seasonal and diurnal variations of ambient PM 2.5 concentration in urban and rural environments in Beijing[J] . Xiujuan Zhao,Xiaoling Zhang,Xiaofeng Xu,Jing Xu,Wei Meng,Weiwei Pu.Atmospheric Environment . 2009 (18)
[7]   A review of land-use regression models to assess spatial variation of outdoor air pollution [J].
Hoek, Gerard ;
Beelen, Rob ;
de Hoogh, Kees ;
Vienneau, Danielle ;
Gulliver, John ;
Fischer, Paul ;
Briggs, David .
ATMOSPHERIC ENVIRONMENT, 2008, 42 (33) :7561-7578
[8]  
Air pollution in mega cities in China[J] . Chak K. Chan,Xiaohong Yao.Atmospheric Environment . 2007 (1)
[9]  
A land use regression for predicting fine particulate matter concentrations in the New York City region[J] . Zev Ross,Michael Jerrett,Kazuhiko Ito,Barbara Tempalski,George D. Thurston.Atmospheric Environment . 2006 (11)
[10]   A Kriging-based approach for locating a sampling site - in the assessment of air quality [J].
Bayraktar, H ;
Turalioglu, FS .
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2005, 19 (04) :301-305