| Popis: |
Based on the daily monitoring data of urban air quality in Shandong province from 2016 to 2020, combined with socio-economic data such as population density and urbanization rate, as well as meteorological data such as wind speed, temperature, and relative humidity, the methods of geographic weighted regression (GWR), multiscale geographically weighted regression (MGWR), and wavelet analysis were comprehensively applied to explore the temporal and spatial distribution characteristics of air pollutants and their relationship with socio-economic and meteorological elements. The results showed that:① In the past five years, the air quality in Shandong province has shown an overall improvement trend. Except for ozone, the concentrations of SO |
