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
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