冯树状，男，1992年，山东威海人，现南京大学国际地球系统科学研究所助理教授，特聘研究员。2021年毕业于南京大学，获博士学位。主持在研国家自然科学基金-青年基金、江苏自然科学基金-青年基金、国家重点研发计划子课题等项目
研究主要包括：空气污染与碳循环数值模拟，污染物与碳排放同化反演等方面的研究工作。
最新研究成果
Accurate estimates of fossil fuel CO2 (FFCO2) emissions are of great importance for climate prediction and mitigation regulations but remain a significant challenge for accounting methods relying on economic statistics and emission factors. In this study, we employed a regional data assimilation framework to assimilate in situ NO2 observations, allowing us to combine observation-constrained NOx emissions coemitted with FFCO2 and grid-specific CO2-to-NOx emission ratios to infer the daily FFCO2 emissions over China. The estimated national total for 2016 was 11.4 PgCO2·yr–1, with an uncertainty (1σ) of 1.5 PgCO2·yr–1 that accounted for errors associated with atmospheric transport, inversion framework parameters, and CO2-to-NOx emission ratios. Our findings indicated that widely used “bottom-up” emission inventories generally ignore numerous activity level statistics of FFCO2 related to energy industries and power plants in western China, whereas the inventories are significantly overestimated in developed regions and key urban areas owing to exaggerated emission factors and inexact spatial disaggregation. The optimized FFCO2 estimate exhibited more distinct seasonality with a significant increase in emissions in winter. These findings advance our understanding of the spatiotemporal regime of FFCO2 emissions in China.
Feng, S., et al., (2024). China’s Fossil Fuel CO2 Emissions Estimated Using Surface Observations of Coemitted NO2 点击下载
