Analysis of air pollution in Fenwei Plain in China based on functional spatial autoregressive combined model.

ABSTRACT: The Fenwei Plain is listed as one of the most serious air pollution regions in China, along with Beijing-Tianjin-Hebei and Yangtze River Delta regions. This paper proposed a functional data analysis method to study the environmental pollution problem in the Fenwei Plain of China. Functional spatial autoregressive combined (FSAC) model with spatial autocorrelation of both the response variable and error term is developed. The model takes the SO2 concentration of Fenwei Plain as the dependent variable and the dew point temperature as the independent variable and realizes the maximum likelihood estimation using functional principal component analysis to obtain the asymptotic properties of parameter estimation and the confidence interval of the slope function. According to the findings of the

SUBMITTER: Tang J 

PROVIDER: S-EPMC10180685 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature