个人简介：王士宝，男，1994年11月，助理研究员，博士毕业于南京大学大气科学专业，主要研究方向为大气物理学与大气环境，主要研究城市精细化空气质量分析与预测，主讲课程为《智能空间计算》。联系方式：swang@zzu.edu.cn。

主要科研项目情况：

1. 科技部国家重点研发计划：地球系统模式中的气溶胶模式研发及气溶胶气候效应评估，项目时间：2020.09-2024.09，参与；

科研成果（论文、著作、获奖等）：

[1] Wang, S., McGibbon, J., Zhang, Y., 2024. Predicting high-resolution air quality using machine learning: Integration of large eddy simulation and urban morphology data[J]. Environmental Pollution 344, 123371. （中科院2区Top）

[2] Wang, S., Zhang, Y., 2024. An attention-based CNN model integrating observational and simulation data for high-resolution spatial estimation of urban air quality[J]. Atmospheric Environment 340, 120921. （中科院2区）

[3] Wang, S., Ma, Y., Wang, Z., et al., 2021. Mobile monitoring of urban air quality at high spatial resolution by low-cost sensors: impacts of COVID-19 pandemic lockdown[J]. Atmospheric Chemistry and Physics 21, 7199–7215. （中科院1区Top）

[4] Zhang, Y., Ye, X., Wang, S., et al., 2021. Large-eddy simulation of traffic-related air pollution at a very high resolution in a mega-city: evaluation against mobile sensors and insights for influencing factors[J]. Atmospheric Chemistry and Physics 21, 2917–2929. （中科院1区Top）

[5] Wang, S., Ji, Y., Zhao, J., et al., 2020. Sources and exposure risk of trace elements for traffic policemen in roadside locations[J]. Transportation Research Part D: Transport and Environment 78, 102176. （中科院1区Top）