姓 名:
王莉莉 性 别:
女
职 务:
职 称:
副研究员
通讯地址:
北京市海淀区北土城西路中科院大气所铁塔分部
邮政编码:
100191 电子邮件:
wll@mail.iap.ac.cn; wll@dq.cern.ac.cn
个人主页:


简历：
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


社会任职：


获奖及荣誉：
北京市科学技术一等奖(13);中国科学院院长优秀奖


代表论著：
1. 王莉莉, 王跃思, 吉东生, 辛金元, 胡波, 和 王万筠, 2011: 天津滨海新区秋冬季大气污染特征分析. 中国环境科学, 31, 1077-1086.
2. 刘丽丽 和 王莉莉, 2015: 天津冬季重霾污染过程及气象和边界层特征分析. 气候与环境研究, 20(2), 129-140, doi: 10.3878/j.issn.1006-9585.2014.14096.
3. 王跃, 王莉莉, 赵广娜, 王跃思, 安俊琳, 刘子锐, 和 唐贵谦，2014: 北京冬季PM2.5重污染时段不同尺度环流形势及边界层结构分析. 气候与环境研究, 19, 173-184.
4. 王跃思, 张军科, 王莉莉, 胡波, 唐贵谦, 刘子锐, 孙扬, 和 吉东生, 2014: 京津冀区域大气霾污染研究意义, 现状及展望. 地球科学进展, 29, 388-396.
5. 王莉莉, 王跃思, 王迎红, 孙扬, 吉东生, 和 任玉芬, 2010: 北京夏末秋初不同天气形势对大气污染物浓度的影响. 中国环境科学, 30, 924-930.
6.康颖,王莉莉,辛金元,陶明辉,宋涛,巩崇水,王跃思,李广.2019.基于AERONET和OMI数据分析中国北方典型地区气溶胶单次散射反照率的变化趋势.气候与环境研究,24(5):537-551
专著：Lili Wang, Yuesi Wang, "Chemical Composition During Severe Haze Events in Northern China", Chapter 11, from the book《Air Pollution in Eastern and Southern Asia》，Idir Bouarar and Guy Brasseur, Editors, Springer Verlag, 2017, 978-3-319-59488-0.
论文：
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/**.2018.**.
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.
21. M. Gao, Liu, Z., Wang, Y., Lu, X., Ji, D., Wang, L., Li, M., Wang, Z., Zhang, Q., and Carmichael, G. R.: Distinguishing the roles of meteorology, emission control measures, regional transport, and co-benefits of reduced aerosol feedbacks in “APEC Blue”. Atmospheric Environment, 2017. 167(Supplement C): p. 476-486. DOI: https://doi.org/10.1016/j.atmosenv.2017.08.054.
22. X. Zhu, Tang, G., Hu, B., Wang, L., Xin, J., Zhang, J., Liu, Z., Munkel, C., and Wang, Y.: Regional pollution characteristics and formation mechanism over Beijing-Tianjin-Hebei area. Journal of Geophysical Research, 2016. 121. DOI: 10.1002/2016JD025730.
23. Q. Zhang, Xin, J., Yin, Y., Wang, L., and Wang, Y.: The Variations and Trends of MODIS C5 & C6 Products’ Errors in the Recent Decade over the Background and Urban Areas of North China. Remote Sensing, 2016. 8(9): p. 754. DOI: 10.3390/rs**.
24. J. Zhang, Wang, L., Wang, Y., and Wang, Y.: Submicron aerosols during the Beijing Asia–Pacific Economic Cooperation conference in 2014. Atmospheric Environment, 2016. 124: p. 224-231.
25. J. Xin, Gong, C., Liu, Z., Cong, Z., Gao, W., Song, T., Pan, Y., Sun, Y., Ji, D., Wang, L., Tang, G., and Wang, Y.: The observation-based relationships between PM2.5and AOD over China. Journal of Geophysical Research: Atmospheres, 2016. 121(18): p. 10,701-10,716. DOI: 10.1002/2015jd024655.
26. M. Tao, Chen, L., Li, R., Wang, L., Wang, J., Wang, Z., Tang, G., and Tao, J.: Spatial oscillation of the particle pollution in eastern China during winter: Implications for regional air quality and climate. Atmospheric Environment, 2016. 144: p. 100-110. DOI: 10.1016/j.atmosenv.2016.08.049.
27. G. Tang, Zhang, J., Zhu, X., Song, T., Münkel, C., Hu, B., Sch?fer, K., Liu, Z., Zhang, J., Wang, L., Xin, J., Suppan, P., and Wang, Y.: Mixing layer height and its implications for air pollution over Beijing, China. Atmospheric Chemistry and Physics, 2016. 16(4): p. 2459-2475. DOI: 10.5194/acp-16-2459-2016.
28. D. Ji, Zhang, J., He, J., Wang, X., Pang, B., Liu, Z., Wang, L., and Wang, Y.: Characteristics of atmospheric organic and elemental carbon aerosols in urban Beijing, China. Atmospheric Environment, 2016. 125, Part A: p. 293-306. DOI: http://dx.doi.org/10.1016/j.atmosenv.2015.11.020.
29. L. Wang, Xin, J., Li, X., and Wang, Y.: The variability of biomass burning and its influence on regional aerosol properties during the wheat harvest season in North China. Atmospheric Research, 2015. 157: p. 153-163. DOI: http://dx.doi.org/10.1016/j.atmosres.2015.01.009.
30. L. Wang, Liu, Z., Sun, Y., Ji, D., and Wang, Y.: Long-range transport and regional sources of PM2.5 in Beijing based on long-term observations from 2005 to 2010. Atmospheric Research, 2015. 157: p. 37-48. DOI: 10.1016/j.atmosres.2014.12.003.
31. J. Xin, Zhang, Q., Wang, L., Gong, C., Wang, Y., Liu, Z., and Gao, W.: The empirical relationship between the PM2.5 concentration and aerosol optical depth over the background of North China from 2009 to 2011. Atmospheric Research, 2014. 138: p. 179-188. DOI: 10.1016/j.atmosres.2013.11.001.
32. J. Xin, Wang, Y., Pan, Y., Ji, D., Liu, Z., Wen, T., Wang, Y., Li, X., Sun, Y., Sun, J., Wang, P., Wang, G., Wang, X., Cong, Z., Song, T., Hu, B., Wang, L., Tang, G., Gao, W., Guo, Y., Miao, H., Tian, S., and Wang, L.: The Campaign on Atmospheric Aerosol Research Network of China: CARE-China. Bulletin of the American Meteorological Society, 2014. 96(7): p. 1137-1155. DOI: 10.1175/BAMS-D-14-00039.1.
33. Y. Wang, Yao, L., Wang, L., Liu, Z., Ji, D., Tang, G., Zhang, J., Sun, Y., Hu, B., and Xin, J.: Mechanism for the formation of the January 2013 heavy haze pollution episode over central and eastern China. Science China Earth Sciences, 2014. 57(1): p. 14-25. DOI: 10.1007/s11430-013-4773-4.
34. L. Wang, Zhang, N., Liu, Z., Sun, Y., Ji, D., and Wang, Y.: The Influence of Climate Factors, Meteorological Conditions, and Boundary-Layer Structure on Severe Haze Pollution in the Beijing-Tianjin-Hebei Region during January 2013. Advances in Meteorology, 2014. 2014: p. 1-14. DOI: 10.1155/2014/685971.
35. L. Wang, Wang, Y., Sun, Y., and Li, Y.: Using synoptic classification and trajectory analysis to assess air quality during the winter heating period in ?rümqi, China. Advances in Atmospheric Sciences, 2012. 29(2): p. 307-319. DOI: 10.1007/s00376-011-9234-4.
36. J. Xin, Wang, L., Wang, Y., Li, Z., and Wang, P.: Trends in aerosol optical properties over the Bohai Rim in Northeast China from 2004 to 2010. Atmospheric Environment, 2011. 45(35): p. 6317-6325. DOI: 10.1016/j.atmosenv.2011.08.052.
37. L. Wang, Wang, Y., Xin, J., Li, Z., and Wang, X.: Assessment and comparison of three years of Terra and Aqua MODIS Aerosol Optical Depth Retrieval (C005) in Chinese terrestrial regions. Atmospheric Research, 2010. 97(1-2): p. 229-240. DOI: 10.1016/j.atmosres.2010.04.004.
38. L. Wang, Xin, J., Wang, Y., Li, Z., Wang, P., Liu, G., and Wen, T.: Validation of MODIS aerosol products by CSHNET over China. Chinese Science Bulletin, 2007. 52(12): p. 1708-1718. DOI: 10.1007/s11434-007-0222-0.
39. L. Wang, Xin, J., Wang, Y., Li, Z., Liu, G., and Li, J.: Evaluation of the MODIS aerosol optical depth retrieval over different ecosystems in China during EAST-AIRE. Atmospheric Environment, 2007. 41(33): p. 7138-7149. DOI: 10.1016/j.atmosenv.2007.05.001.




承担科研项目情况：
1.多源卫星遥感估算中国东部秋季秸秆焚烧污染排放的研究，国家自然科学基金面上项目，68万，项目负责人，2018.01-2021.12
2.厘清气象要素对大气氧化性定量贡献与区域光化学污染潜势预报指数构建，科技部国家重点研发计划（区域大气氧化能力与空气质量的定量关系及调控原理）子课题，81万，子课题负责人， 2017/06-2020/12
3.北京大气光化学二次污染物和细颗粒物的耦合相互作用研究，北京市科委首都蓝天行动培育项目，240万，参与人，2018/05-2021/01
4.大气本底-高寒环境-近海-物候观测数据汇聚，中科院先导专项子课题，130万，参与恶人，2018/01-2022/12
5.北京大气臭氧污染来源解析与及与PM2.5协同控制研究，北京市科委首都蓝天行动培育，240万，参与人，2017/01-2018/12
6.京津冀及周边地区大气污染综合立体观测网课题，总理攻关专项（大气重污染成因与治理攻关项目），1200万，2017/04-2019/09，项目骨干
7.基于环流分型建立气象和源调控对京津冀PM2.5浓度变化贡献的解析方法研究，基金委青年基金，21万，课题负责人，2016.1-2018.12
8.多源卫星遥感反演气溶胶光学特性研究，基金委面上基金，22万，子课题负责人，2015.1-2018.12
9.京津冀环渤海区域气象要素综合立体观测及分析研究，中科院先导专项B类，149万，子课题负责人，2014.1-2017.6
10.Partnership with China on Space Data，欧盟FP7项目，4.32万欧元，课题负责人，2014.1-2016.12
11.环渤海大气灰霾观测与模拟，行业专项，96万，子课题负责人，2010.6-2013.6
12.京津冀城市群大气霾污染形成机制及调控原理研究，基金委重点项目，300万，项目骨干，2013.1-2017.12
13.e-Science虚拟科研平台研究与开发，院信息化专项，10万，子课题负责人，2008.12-2010.12