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This study presents a satellite-based framework for estimating urban CO2 emissions in Shandong Province, China, utilizing TROPOMI NO2 observations and a differential evolution algorithm, achieving a high correlation (R2 = 0.95). It identifies Jinan, Linyi, and Qingdao as major CO2 emission hotspots and highlights the effectiveness of using NO2 as a proxy for CO2 emissions in urban environments. The findings offer valuable insights for carbon accounting and regional carbon mitigation strategies.

Author

zhangyu111

Language

EN