【个人简介】
王浩帆，男，讲师，1997年生，博士毕业于中山大学。主要研究方向：区域空气质量模拟、地球系统模式应用及开发、大气遥感。目前发表论文18篇。邮箱：wanghaofan@cuit.edu.cn
【学习与工作经历】
2026.6–至今，成都信息工程大学，讲师
2022.9–2026.6，中山大学大气科学学院，大气科学专业，理学博士
2023.11–2024.11，英国曼彻斯特大学，联合培养博士研究生
2019.9–2022.6，成都信息工程大学资源环境学院，环境科学与工程专业，工学硕士
2015.9–2019.6，西南交通大学，电气工程及其自动化专业，工学学士
【论著专利】
论文
1.Wang, H., Li, Y., Liu, Y., Lu, X., Zhang, Y., Fan, Q., Shen, C., Lai, S., Zhou, Y., Zhang, T., and Yue, D.: Underappreciated contributions of biogenic volatile organic compounds from urban green spaces to ozone pollution, Atmos. Chem. Phys., 25, 5233–5250,https://doi.org/10.5194/acp-25-5233-2025, 2025a.
2.Wang, H., Qiu, J., Liu, Y., Fan, Q., Lu, X., Zhang, Y., Wu, K., Shen, A., Xu, Y., Jin, Y., Zhu, Y., Sun, J., and Wang, H.: MEIAT-CMAQ: A modular emission inventory allocation tool for Community Multiscale Air Quality Model, Atmospheric Environment, 331, 120604,https://doi.org/10.1016/j.atmosenv.2024.120604, 2024.
3.Wang, H., Liu, Z., Wu, K., Qiu, J., Zhang, Y., Ye, B., and He, M.: Impact of Urbanization on Meteorology and Air Quality in Chengdu, a Basin City of Southwestern China, Front. Ecol. Evol., 10, 845801,https://doi.org/10.3389/fevo.2022.845801, 2022.
4.Wang, H., Liu, Z., Zhang, Y., Yu, Z., and Chen, C.: Impact of different urban canopy models on air quality simulation in Chengdu, southwestern China, Atmospheric Environment, 267, 118775,https://doi.org/10.1016/j.atmosenv.2021.118775, 2021.
5.Zhang, X., Deng, T., He, G., Zhang, Z., Chen, L., Ouyang, S.,Wang, H., Wang, H., Wang, Q., Rao, G., and Wu, D.: Quantifying lightning-generated NO contributions and vertical distribution impacts on atmospheric composition in the Pearl River Delta, China, Atmospheric Research, 330, 108581,https://doi.org/10.1016/j.atmosres.2025.108581, 2026.
6.Chen, G., Liu, Y.,Wang, H., Wang, M., Chen, L., Hu, H., Zhang, S., Ai, B., Cai, M., Zhang, Z., Fan, Q., and Lin, H.: Lifetime exposure to health-related air pollutants in the United Kingdom: A spatiotemporal evaluation (1930–2010) through WRF-CMAQ modeling, Atmospheric Environment, 346, 121093,https://doi.org/10.1016/j.atmosenv.2025.121093, 2025.
7.Liu, N., He, G., Wang, H., He, C.,Wang, H., Liu, C., Wang, Y., Wang, H., Li, L., Lu, X., and Fan, S.: Rising frequency of ozone-favorable synoptic weather patterns contributes to 2015–2022 ozone increase in Guangzhou, Journal of Environmental Sciences, 148, 502–514,https://doi.org/10.1016/j.jes.2023.09.024, 2025.
8.Wang, H., Maslanka, W., Palmer, P. I., Wooster, M. J.,Wang, H., Yao, F., Feng, L., Wu, K., Lu, X., and Fan, S.: Using geostationary-satellite-derived sub-daily fire radiative power variability versus prescribed diurnal cycles to assess the impact of African fires on tropospheric ozone, Atmos. Chem. Phys., 25, 17501–17526,https://doi.org/10.5194/acp-25-17501-2025, 2025b.
9.Jin, Y., Liu, Y., Lu, X., Chen, X., Shen, A.,Wang, H., Cui, Y., Xu, Y., Li, S., Liu, J., Zhang, M., Ma, Y., and Fan, Q.: Measurement report: Assessing the impacts of emission uncertainty on aerosol optical properties and radiative forcing from biomass burning in peninsular Southeast Asia, Atmos. Chem. Phys., 24, 367–395,https://doi.org/10.5194/acp-24-367-2024, 2024.
10.Li, S., Liu, Y., Zhu, Y., Jin, Y., Hong, Y., Shen, A., Xu, Y.,Wang, H., Wang, H., Lu, X., Fan, S., and Fan, Q.: ACEIC: a comprehensive anthropogenic chlorine emission inventory for China, Atmos. Chem. Phys., 24, 11521–11544,https://doi.org/10.5194/acp-24-11521-2024, 2024.
11.Xian, Y., Zhang, Y., Liu, Z.,Wang, H., and Xiong, T.: Characterization of winter PM2.5 source contributions and impacts of meteorological conditions and anthropogenic emission changes in the Sichuan Basin, 2002–2020, Science of The Total Environment, 947, 174557,https://doi.org/10.1016/j.scitotenv.2024.174557, 2024a.
12.Xian, Y., Zhang, Y., Liu, Z.,Wang, H., Wang, J., and Tang, C.: Source apportionment and formation of warm season ozone pollution in Chengdu based on CMAQ-ISAM, Urban Climate, 56, 102017,https://doi.org/10.1016/j.uclim.2024.102017, 2024b.
13.Zhu, Y., Liu, Y., Li, S., Wang, H., Lu, X.,Wang, H., Shen, C., Chen, X., Chan, P., Shen, A., Wang, H., Jin, Y., Xu, Y., Fan, S., and Fan, Q.: Assessment of tropospheric ozone simulations in a regional chemical transport model using GEOS-Chem outputs as chemical boundary conditions, Science of The Total Environment, 906, 167485,https://doi.org/10.1016/j.scitotenv.2023.167485, 2024.
14.He, G., He, C.,Wang, H., Lu, X., Pei, C., Qiu, X., Liu, C., Wang, Y., Liu, N., Zhang, J., Lei, L., Liu, Y., Wang, H., Deng, T., Fan, Q., and Fan, S.: Nighttime ozone in the lower boundary layer: insights from 3-year tower-based measurements in South China and regional air quality modeling, Atmos. Chem. Phys., 23, 13107–13124,https://doi.org/10.5194/acp-23-13107-2023, 2023.
15.Lu, Y., Yang, X.,Wang, H., Jiang, M., Wen, X., Zhang, X., and Meng, L.: Exploring the effects of land use and land cover changes on meteorology and air quality over Sichuan Basin, southwestern China, Front. Ecol. Evol., 11, 1131389,https://doi.org/10.3389/fevo.2023.1131389, 2023.
16.Qiu, J., Fang, C., Tian, N.,Wang, H., and Wang, J.: Impacts of land use and land cover changes on local meteorology and PM2.5 concentrations in Changchun, Northeast China, Atmospheric Research, 289, 106759,https://doi.org/10.1016/j.atmosres.2023.106759, 2023.
17.Shen, A., Liu, Y., Lu, X., Xu, Y., Jin, Y.,Wang, H., Zhang, J., Wang, X., Chang, M., and Fan, Q.: Modeling regional nitrogen cycle in the atmosphere: Present situation and its response to the future emissions control strategy, Science of The Total Environment, 891, 164379,https://doi.org/10.1016/j.scitotenv.2023.164379, 2023.
18.Wang, K., Gao, C., Wu, K., Liu, K.,Wang, H., Dan, M., Ji, X., and Tong, Q.: ISAT v2.0: an integrated tool for nested-domain configurations and model-ready emission inventories for WRF-AQM, Geosci. Model Dev., 16, 1961–1973,https://doi.org/10.5194/gmd-16-1961-2023, 2023.
以第一完成人身份发表的软件著作权
1.基于Google Earth Engine的白浪覆盖率在线反演系统v1.0. 2025.
2.英国空气质量站点数据在线查询系统v1.0. 2024.
3.⾯向区域空⽓质量模式CMAQ的模块化排放清单分配系统v1.0. 2024.
