Analysis of carbon pollution synergistic effect of different underlying surface spaces in Xi'an high residential area

Abstract

China’s carbon emissions and smog have become increasingly problematic, with ecological environment pollution becoming an unavoidable consequence of urban and economic development. Residential areas are particularly important for creating a healthy and livable environment. This study aims to improve the internal environmental quality of residential areas from the perspective of urban design. After selecting synergistic effect indicators and model algorithms, the CO2 emissions of building energy consumption in residential areas in Xi’an and PM2.5 are measured. Using Stata data analysis software, the model parameter results are compared. The results reveal that the CO2 emissions and PM2.5 concentrations of different underlying surfaces in residential areas is positively synergistic, and the space of hard underlying surfaces is more synergistic than that of green space. Temperature is the most important influencing factor of PM2.5 concentration, the elastic coefficient reaches 16.682%, and the plot ratio is the most important CO2 emission influencing factor. Further, the coefficient of elasticity reached 929.458. The positive synergistic growth of CO2 emissions and PM2.5 concentration in residential areas was further verified through the evaluation index of quantifying the synergy effect. The findings provide a scientific basis for formulating urban construction policies for future carbon and haze reduction, and residential environment quantification.