posted on 2017-10-24, 00:00authored byMiaomiao Liu, Jun Bi, Zongwei Ma
China
established ground PM2.5 monitoring network in
late 2012 and hence the long-term and large-scale PM2.5 data were lacking before 2013. In this work, we developed a national-scale
spatiotemporal linear mixed effects model to estimate the long-term
PM2.5 concentrations in China from 1957 to 1964 and from
1973 to 2014 using ground visibility monitoring data as the primary
predictor. The overall model-fitting and cross-validation R2 is 0.72 and 0.71, suggesting that the model
is not overfitted. Validation beyond the model year (2014) indicated
that the model could accurately estimate historical PM2.5 concentrations at the monthly (R2 =
0.71) level. The historical PM2.5 estimates suggest that
air pollution is not a new environmental issue that occurs in the
recent decades but a problem existing in a longer time before 1980.
The PM2.5 concentrations have reached 60–80 μg/m3 in the north part of North China Plain during 1950s–1960s
and increased to generally higher than 90 μg/m3 during
1970s. The results also show that the entire China experienced an
overall increasing trend (0.19 μg/m3/yr, P < 0.001) in PM2.5 concentrations from 1957
to 2014 with fluctuations among different periods. This paper demonstrated
visibility data allow us to understand the spatiotemporal characteristics
of PM2.5 pollution in China in a long-term.