博士后

学术成果

论文发表：

[1] Wang Z., Zhang C., Ye S., Lu R., Shangguan Y., Zhou T., Atkinson P., Shi Z. Tracking hourly PM_2.5 using geostationary satellite sensor images and multiscale spatiotemporal deep learning, International Journal of Applied Earth Observation and Geoinformation, 2024, 134: 104145.

[2] Wang Z., Hu B., Zhang C., Atkinson P., Wang Z., Xu K., Chang J., Fang X., Jiang Y., Shi Z. How the Air Clean Plan and carbon mitigation measures co-benefited China in environment and health from 2014 to 2020. Environment International, 2022, 169, 107510.

[3] Wang Z., Hu B., Huang B., Ma Z., Biswas A., Jiang Y., Shi Z. Predicting annual PM_2.5 in mainland China from 2014 to 2020 using multi temporal satellite product: an improved deep learning approach with spatial generalization ability. ISPRS Journal of Photogrammetry and Remote Sensing, 2022, 187.

[4] Wang Z., Zhou Y., Zhao R., Wang N., Biswas A., Shi Z. High-resolution prediction of the spatial distribution of PM_2.5 concentrations in China using a long short-term memory model. Journal of Cleaner Production, 2021, 297.

[5] Chen X., Wang Z, Shangguan Y., Yu J., Hu B., Shen Q., Xue J., Zhang X., Shi Z. Estimating monthly surface ozone using multi-source satellite products in China based on Deep Forest model. Atmospheric Environment, 2023, 307, 119819.

授权专利：

[1] 一种基于时间序列和深度学习框架的PM_2.5估算方法（史舟，王之戈，伍温强，周银），专利号：ZL202111128866.7