Multi-objective Optimization of Environmental Equity and Synergistic Benefits of “Carbon-Pollution-Heat” at the Urban Plot Scale: Based on Multimodal Deep Learning
摘要
Carbon-pollution synergy refers to the simultaneous reduction of carbon emissions (mainly CO2) and air pollutants (like PM2.5, PM10, NOx, SO2) through environmental policies to achieve dual environmental benefits. The synergy benefit is used to measure the effectiveness of joint carbon and pollution control efforts. Since carbon emissions, pollutants, and human-generated heat have common sources, this study introduces a carbon-pollution-heat synergy indicator to evaluate urban thermal comfort and equity for residents.