CARBON STORAGE IN HUNAN PROVINCE: MONITORING, MODELING, AND MANAGEMENT STRATEGIES FOR CLIMATE CHANGE MITIGATION

Climate change caused by human emissions of greenhouse gases, especially carbon dioxide (CO2), is one of the most important environmental challenges that the world is facing today. Understanding the spatial and temporal dynamics of CO2 emissions is critical to inform effective mitigation strategies. This study investigated the carbon emission profile of Hunan Province, an important industrial and economic region in southern China. Using remote sensing technology, spatial statistical techniques, and time series modelling, the researchers identified high-risk and low-risk carbon emission clusters in Hunan Province. In addition, the study examined the key socio-economic and energy-related factors that drive CO2 output. Finally, the authors developed a forecasting model to predict the trace of carbon emissions over the next decade. The results demonstrate the power of integrating statistical methods and geographic forecasting to provide evidence-based insights to support carbon management policies at the province level. This multifaceted methodology can be replicated in other regions to strengthen greenhouse gas monitoring and emission reduction planning at domestic scales. These findings underscore the critical role of China's provinces in addressing the global climate crisis through targeted data-driven mitigation efforts.