王莉莉 - 中国科学院大气物理研究所 -

个人简介

王莉莉，博士，中国科学院大气物理研究所副研究员，硕士生导师，曾任中国科学院大气物理研究所青年科学家实验室成员。主要参与中国生态研究网络（CERN）气象辐射数据库建立和维护、中国科学院大气本底观测网数据采集和信息化、华北地区大气环境监测网络的建设和运行工作、野外秸秆焚烧排放特征观测、超级站数据综合分析，并基于上述本组观测数据，融合环保部环境、气象局气象数据、以及卫星相关产品，基于统计方法和数值模型，系统研究了中国尤其是华北地区大气污染特征、气象成因、化学形成过程，深入解析大气颗粒物污染和臭氧污染的特征、气象成因、以及排放内因的关系，为区域污染的联防联控提供科学依据。主持项目主要有国家自然科学基金委青年基金和面上基金，国家重点研发计划、中科院先导专项、环保行业专项子课题、欧盟FP7课题等。共发表论文约100篇(含约60篇SCI)，合作英文论著一部，取得软件著作权4项。与国内中科院遥感与数字地球研究所、南京信息工程大学、首都师范大学、北京城市气象研究所、国家气象卫星中心、环保部环境科学研究院、中国地质大学、湖北省环境监测中心站等，国外赫尔辛基大学、伦敦国王学院、多伦多大学等，开展广泛的学术交流与访问

研究领域

大气环境、污染气象学、卫星遥感应用、气象和环境统计学分析

近期论文

查看导师最新文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

1. Y. Wang, Wang, Y., Wang, L., Pet?j?, T., Zha, Q., Gong, C., Li, S., Pan, Y., Hu, B., Xin, J., and Kulmala, M.: Increased inorganic aerosol fraction contributes to air pollution and haze in China. Atmospheric Chemistry and Physics, 2019. 19(9): p. 5881-5888. DOI: 10.5194/acp-19-5881-2019. 2. M. Tao, Wang, J., Li, R., Wang, L., Wang, L., Wang, Z., Tao, J., Che, H., and Chen, L.: Performance of MODIS high-resolution MAIAC aerosol algorithm in China: Characterization and limitation. Atmospheric Environment, 2019. 213: p. 159-169. DOI: 10.1016/j.atmosenv.2019.06.004. 3. R. Shen, Liu, Z., Chen, X., Wang, Y., Wang, L., Liu, Y., and Li, X.: Atmospheric levels, variations, sources and health risk of PM2.5-bound polycyclic aromatic hydrocarbons during winter over the North China Plain. Science of The Total Environment, 2019. 655: p. 581-590. DOI: https://doi.org/10.1016/j.scitotenv.2018.11.220. 4. W. Pu, Shi, X., Wang, L., Xu, J., and Ma, Z.: Potential source regions of air pollutants at a regional background station in Northern China. Environmental Technology, 2019. 40(26): p. 1-10. DOI: 10.1080/09593330.2018.1476593. 5. J. Liu, Wang, L., Li, M., Liao, Z., Sun, Y., Song, T., Gao, W., Wang, Y., Li, Y., Ji, D., Hu, B., Kerminen, V.-M., Wang, Y., and Kulmala, M.: Quantifying the impact of synoptic circulations on ozone variations in North China from April–October 2013–2017. Atmos. Chem. Phys., 2019. 6. M. Li, Wang, L., Liu, J., Gao, W., Song, T., Sun, Y., Li, L., Li, X., Wang, Y., Liu, L., Daellenbach, K. R., Paasonen, P. J., Kerminen, V.-M., Kulmala, M., and Wang, Y.: Exploring the regional pollution characteristics and meteorological formation mechanism of PM2.5 in North China during 2013-2017. Environment international, 2020. 134: p. 105283. 7. I. Bouarar, Brasseur, G., Petersen, K., Granier, C., Fan, Q., Wang, X., Wang, L., Ji, D., Liu, Z., Xie, Y., Gao, W., and Elguindi, N.: Influence of anthropogenic emission inventories on simulations of air quality in China during winter and summer 2010. Atmospheric Environment, 2019. 198: p. 236-256. DOI: 10.1016/j.atmosenv.2018.10.043. 8. X. Zhu, Tang, G., Guo, J., Hu, B., Song, T., Wang, L., Xin, J., Gao, W., Münkel, C., Sch?fer, K., Li, X., and Wang, Y.: Mixing layer height on the North China Plain and meteorological evidence of serious air pollution in southern Hebei. Atmospheric Chemistry and Physics, 2018. 18(7): p. 4897-4910. DOI: 10.5194/acp-18-4897-2018. 9. J. Sun, Wang, Y., Wu, F., Tang, G., Wang, L., Wang, Y., and Yang, Y.: Vertical characteristics of VOCs in the lower troposphere over the North China Plain during pollution periods. Environmental pollution, 2018. 236: p. 907-915. DOI: 10.1016/j.envpol.2017.10.051. 10. R. Shen, Liu, Z., Liu, Y., Wang, L., Li, D., Wang, Y., Wang, G., Bai, Y., and Li, X.: Typical polar organic aerosol tracers in PM2.5 over the North China Plain: Spatial distribution, seasonal variations, contribution and sources. Chemosphere, 2018. 209: p. 758-766. DOI: 10.1016/j.chemosphere.2018.06.133. 11. Z. Liu, Gao, W., Yu, Y., Hu, B., Xin, J., Sun, Y., Wang, L., Wang, G., Bi, X., Zhang, G., Xu, H., Cong, Z., He, J., Xu, J., and Wang, Y.: Characteristics of PM2.5 mass concentrations and chemical species in urban and background areas of China: emerging results from the CARE-China network. Atmospheric Chemistry and Physics, 2018. 18(12): p. 8849-8871. DOI: 10.5194/acp-18-8849-2018. 12. D. Ji, Cui, Y., Li, L., He, J., Wang, L., Zhang, H., Wang, W., Zhou, L., Maenhaut, W., Wen, T., and Wang, Y.: Characterization and source identification of fine particulate matter in urban Beijing during the 2015 Spring Festival. Sci Total Environ, 2018. 628-629: p. 430-440. DOI: 10.1016/j.scitotenv.2018.01.304. 13. X. Huang, Zhang, J., Luo, B., Wang, L., Tang, G., Liu, Z., Song, H., Zhang, W., Yuan, L., and Wang, Y.: Water-soluble ions in PM2.5 during spring haze and dust periods in Chengdu, China: Variations, nitrate formation and potential source areas. Environmental pollution, 2018. 243(Pt B): p. 1740-1749. DOI: 10.1016/j.envpol.2018.09.126. 14. J. Zhang, Xin, J., Zhang, W., Wang, S., Wang, L., Xie, W., Xiao, G., Pan, H., and Kong, L.: Validation of MODIS C6 AOD products retrieved by the Dark Target method in the Beijing–Tianjin–Hebei urban agglomeration, China. Advances in Atmospheric Sciences, 2017. 34(8): p. 993-1002. DOI: 10.1007/s00376-016-6217-5. 15. R. Timmermans, Kranenburg, R., Manders, A., Hendriks, C., Segers, A., Dammers, E., Zhang, Q., Wang, L., Liu, Z., Zeng, L., van der Gon, H. D., and Schaap, M.: Source apportionment of PM2.5 across China using LOTOS-EUROS. Atmospheric Environment, 2017. 164: p. 370-386. DOI: 10.1016/j.atmosenv.2017.06.003. 16. G. Tang, Zhu, X., Xin, J., Hu, B., Song, T., Sun, Y., Zhang, J., Wang, L., Cheng, M., Chao, N., Kong, L., Li, X., and Wang, Y.: Modelling study of boundary-layer ozone over northern China - Part I: Ozone budget in summer. Atmospheric Research, 2017. 187: p. 128-137. DOI: 10.1016/j.atmosres.2016.10.017. 17. G. Tang, Zhu, X., Xin, J., Hu, B., Song, T., Sun, Y., Wang, L., Wu, F., Sun, J., Cheng, M., Chao, N., Li, X., and Wang, Y.: Modelling study of boundary-layer ozone over northern China - Part II: Responses to emission reductions during the Beijing Olympics. Atmospheric Research, 2017. 193: p. 83-93. DOI: 10.1016/j.atmosres.2017.02.014. 18. X. Li, Liu, Y., Li, D., Wang, G., Bai, Y., Diao, H., Shen, R., Hu, B., Xin, J., Liu, Z., Wang, Y., Guo, X., and Wang, L.: Molecular composition of organic aerosol over an agricultural site in North China Plain: Contribution of biogenic sources to PM 2.5. Atmospheric Environment, 2017. 164: p. 448-457. DOI: 10.1016/j.atmosenv.2017.06.018. 19. X. Huang, Liu, Z., Liu, J., Hu, B., Wen, T., Tang, G., Zhang, J., Wu, F., Ji, D., and Wang, L.: Chemical characterization and source identification of PM 2.5 at multiple sites in the Beijing–Tianjin–Hebei region, China. Atmospheric Chemistry and Physics, 2017. 17(21). 20. B. Hu, Zhao, X., Liu, H., Liu, Z., Song, T., Wang, Y., Tang, L., Xia, X., Tang, G., Ji, D., Wen, T., Wang, L., Sun, Y., and Xin, J.: Quantification of the impact of aerosol on broadband solar radiation in North China. Scientific reports, 2017. 7: p. 44851. DOI: 10.1038/srep44851.