Abstract
The Chengdu-Chongqing urban agglomeration (CUA) faces considerable air quality concerns, although the situation has improved in the past 15 years. The driving effects of population, land and economic urbanization on PM(2.5) concentrations in the CUA have largely been overlooked in previous studies. The contributions of natural and socio-economic factors to PM(2.5) concentrations have been ignored and the spillover effects of multi-dimensional urbanization on PM(2.5) concentrations have been underestimated. This study explores the spatial dependence and trend evolution of PM(2.5) concentrations in the CUA at the grid and county level, analyzing the direct and spillover effects of multi-dimensional urbanization on PM(2.5) concentrations. The results show that the mean PM(2.5) concentrations in CUA dropped to 48.05 μg/m(3) at an average annual rate of 4.6% from 2000 to 2015; however, in 2015, there were still 91% of areas exposed to pollution risk (>35 μg/m(3)). The PM(2.5) concentrations in 92.98% of the area have slowly decreased but are rising in some areas, such as Shimian County, Xuyong County and Gulin County. The PM(2.5) concentrations in this region presented a spatial dependence pattern of "cold spots in the east and hot spots in the west". Urbanization was not the only factor contributing to PM(2.5) concentrations. Commercial trade, building development and atmospheric pressure were found to have significant contributions. The spillover effect of multi-dimensional urbanization was found to be generally stronger than the direct effects and the positive impact of land urbanization on PM(2.5) concentrations was stronger than population and economic urbanization. The findings provide support for urban agglomerations such as CUA that are still being cultivated to carry out cross-city joint control strategies of PM(2.5) concentrations, also proving that PM(2.5) pollution control should not only focus on urban socio-economic development strategies but should be an integration of work optimization in various areas such as population agglomeration, land expansion, economic construction, natural adaptation and socio-economic adjustment.