Scientometric and multidimensional contents analysis of PM2.5 concentration prediction

ABSTRACT: The foundation for the environmental department to take suitable measures and make a significant contribution towards improving air quality is the precise and dependable prediction of PM2.5 concentration. It is essential to review the development process and hotspots of PM2.5 concentration prediction studies over the past 20 years (2000–2021) comprehensively and quantitatively. This study used detailed bibliometric methods and CiteSpace software to visually analyze the PM2.5 pollution level. The outcomes found that the prediction research phases of PM2.5 can be broadly divided into three phases and enter the rapid growth phase after 2017. Five categories of keywords are clustered, and the forecasting data and forecasting methods are typical cluster representatives. Then, the construction a

SUBMITTER: Gong J 

PROVIDER: S-EPMC10025157 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature