[HTML][HTML] Globally analysing spatiotemporal trends of anthropogenic PM2. 5 concentration and population's PM2. 5 exposure from 1998 to 2016
Air pollution in the form of particulate matter (PM) is becoming one of the greatest current
threats to human health on a global scale. This paper firstly presents a Bayesian space–time
hierarch piecewise regression model (BSTHPRM) which can self-adaptively detect the
transitions of local trends, accounting for spatial correlations. The spatiotemporal trends of
the approximately anthropogenic PM 2.5 removed natural dust (PM 2.5 _No Dust)
concentrations and the corresponding population's PM 2.5 _No Dust exposure (PPM 2.5 E) …
threats to human health on a global scale. This paper firstly presents a Bayesian space–time
hierarch piecewise regression model (BSTHPRM) which can self-adaptively detect the
transitions of local trends, accounting for spatial correlations. The spatiotemporal trends of
the approximately anthropogenic PM 2.5 removed natural dust (PM 2.5 _No Dust)
concentrations and the corresponding population's PM 2.5 _No Dust exposure (PPM 2.5 E) …
Globally analysing spatiotemporal trends of anthropogenic PM2.5 concentration and population's PM2.5 exposure from 1998 to 2016.
LJM Li JunMing, HXL Han XiuLan, JMJ Jin MeiJun… - 2019 - cabidigitallibrary.org
Air pollution in the form of particulate matter (PM) is becoming one of the greatest current
threats to human health on a global scale. This paper firstly presents a Bayesian space-time
hierarch piecewise regression model (BSTHPRM) which can self-adaptively detect the
transitions of local trends, accounting for spatial correlations. The spatiotemporal trends of
the approximately anthropogenic PM2. 5 removed natural dust (PM2. 5_No Dust)
concentrations and the corresponding population's PM2. 5_No Dust exposure (PPM2. 5E) in …
threats to human health on a global scale. This paper firstly presents a Bayesian space-time
hierarch piecewise regression model (BSTHPRM) which can self-adaptively detect the
transitions of local trends, accounting for spatial correlations. The spatiotemporal trends of
the approximately anthropogenic PM2. 5 removed natural dust (PM2. 5_No Dust)
concentrations and the corresponding population's PM2. 5_No Dust exposure (PPM2. 5E) in …
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