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首页 > 师资队伍 > 教师 > 环境系统分析教研所 > 正文

环境系统分析教研所

王春艳

副研究员

邮箱:wangchunyan@tsinghua.edu.cn

电话:010-62790402

地点:太阳集团城娱87221005室

教育背景

2013.08 – 2018.07  清华大学,太阳集团城娱8722,环境科学与工程,工学博士

2009.09 – 2013.06  中国人民大学,太阳集团城娱8722,管理学学士

2025.04 – 2025.09  瓦赫宁根大学,环境政策组,访问学者

2019.03 – 2020.03  密西根大学,太阳集团城娱8722,访问学者

2016.09 – 2017.02  耶鲁大学,森林与太阳集团城娱8722,访问学者


工作履历

2022.12 – 至今    清华大学,太阳集团城娱8722,副研究员

2020.11 – 2022.12  清华大学,太阳集团城娱8722,助理研究员

2018.10 – 2020.10  清华大学,太阳集团城娱8722,博士后


学术兼职

Journal of Cleaner Production副编辑

Scientific Data编委

《环境工程学报》编委

国际水协会IWA中国青年委员会(IWA-YWP China)委员、中国土木工程学会水工业分会理事等


研究领域

城市社会-技术系统与环境行为研究


研究概况

  1. 2026-至今,城市复杂环境系统水-能-碳代谢研究,国家自然科学基金委,项目负责人。

  2. 2025-至今,基于生成式人工智能的家庭水能消费行为助推影响机制研究,国家自然科学基金委,项目负责人。

  3. 2021-2023,基于遥感影像数据的城市住宅建筑供水能耗空间特征研究,国家自然科学基金委,项目负责人。

  4. 2021-2022,低碳冬奥监测与碳中和调控关键技术及示范应用,科学技术部,项目主要参与人。

  5. 2020-2023,人工智能赋能绿色发展社会实验研究,科学技术部,技术骨干。

  6. 2020-2023,基于居民消费的城市家庭水-能耦合系统高时空精度模拟,国家自然科学基金委,项目主要参与人。

  7. 2020-2020,环境计算:概念、发展演变与挑战,微软亚洲研究院,项目主要参与人。

  8. 2020-2020,新型冠状病毒感染的肺炎疫情环境风险防控,中国工程院,技术骨干。

  9. 2018-2021,基于自底向上方法的京津冀工业系统水-能-污染物协同效应研究,国家自然科学基金委员会,项目主要参与人。

  10. 2015-2017,京津冀地区战略环境评价,生态环境部,项目主要参与人。


学术成果

(一)期刊文章

  1. Li Z, Zhang Q, Wang C, Zhang F, Liu Y*, Zhang L, Xie D. Balancing act: How community measures shape environmental risk perceptions and preventive behaviours during the COVID-19 pandemic[J]. Environmental Impact Assessment Review, 2025, 115: 108062. (https://doi.org/10.1016/j.eiar.2025.108062)

  2. Pei S, Li Z, Liu Y, Wang C*, Wu H, Liu S, Huang Y. Trajectory, drivers, and reduction of greenhouse gas emissions from urban water system in China during 1980–2030[J]. Resources, Environment and Sustainability, 2025: 100244. (https://doi.org/10.1016/j.resenv.2025.100244)

  3. Wu H, Wang C*, Liu Y, Li Z, Zhuge C. Spatiotemporal analysis of neighborhood noise complaints and related factors: A case study in Beijing, China[J]. Building and Environment, 2025: 113332. (https://doi.org/10.1016/j.buildenv.2025.113332)

  4. Wang M., Li Z., Liu Y., Lin L,, Wang C.*, A hybrid model of machine learning for classifying household water-consumption behaviors, Cleaner and Responsible Consumption, 2025, 16: 100252.(https://doi.org/10.1016/j.clrc.2025.100252)

  5. Wei Z., Liu Y.*, Wang Z., Wang C., Gong M., Meng F., Xie D., Does the China's integrated environmental zoning regulation serve an effective approach for industrial restructuring?, Environmental Impact Assessment Review, 2025, 110: 107682. (https://doi.org/10.1016/j.eiar.2024.107682)

  6. Wu X., Liu Y., Yu Z., Jiang J., Wang C.*, Zhao B. Assessing urban water-energy nexus characteristics in China and the US, Environmental Research Letter, 2024, 19: 104054. (https://doi.org/10.1088/1748-9326/ad7475)

  7. Wang X., Su M., Wang C., Liu Y.*, Dynamic COVID Zero Strategy triggered a significant increase of chlorine-based disinfectant consumption in Beijing, Frontiers of Environmental Science & Engineering, 2024, 18(8): 97. (https://doi.org/10.1007/s11783-024-1857-7)

  8. Li Z, Wang C*, Liu Y, et al. Enhancing the explanation of household water consumption through the water-energy nexus concept[J]. npj Clean Water, 2024, 7(1): 8. (https://doi.org/10.1038/s41545-024-00298-6)

  9. Wang C, Li Y, Shen Y, et al. Addressing the influencing path of social noise exposure risk perception on noise mitigation behavior[J]. Journal of Environmental Management, 2024, 353: 120238. (https://doi.org/10.1016/j.jenvman.2024.120238)

  10. Wang C. Li Z., Ni X., Shi W., Zhang J., Bian J, Liu Y., Residential water and energy consumption prediction at hourly resolution based on a hybrid machine learning approach. Water Research. 2023, 246, 120733 (https://doi.org/10.1016/j.watres.2023.120733)

  11. Kan M. #, Wang C. #, Zhu B., Chen W. Liu Y., Ren Y., Xu M., Seven decades of plastic flows and stocks in the United States and pathways towards zero plastic pollution by 2050. Journal of Industrial Ecology. 2023. 1-15 (https://doi.org/10.1111/jiec.13427)

  12. Chen D., Wang C., Liu Y*. How household food shopping behaviors changed during COVID-19 lockdown period: Evidence from Beijing, China. Journal of Retailing and Consumer Services. 2023.75, 103513. (https://doi.org/10.1016/j.jretconser.2023.103513)

  13. Lin L, Jia X., Liu Y., Wang C.*, The Trade-environment Nexus in Global Cereal Trade: Combing Social Network and Spatial Panel Econometrics Analysis. Journal of Cleaner Production. 2023, 418, 138096. (https://doi.org/10.1016/j.jclepro.2023.138096)

  14. Li Z, Wang C.*, Liu Y., A dataset on energy efficiency grade of white goods in mainland China at regional and household levels, Scientific Data. 2023, 10, 445. (https://doi.org/10.1038/s41597-023-02358-x)

  15. Wang C., Jiang H., Wu H., Liu Y., Guo S., Xu M., Scaling in Urban Building Energy Use and its Influencing Factors. Journal of Industrial Ecology. 2023, 27(4): 1076-1088. (http://doi.org/10.1111/jiec.13395)

  16. Wang Z., Wang C., Liu Y*. Evaluation for the nexus of industrial water-energy-pollution: Performance indexes, scale effect, and policy implications. Environmental Science & Policy. 2023, 144: 88-98. (https://doi.org/10.1016/j.envsci.2023.03.007)

  17. Chen D., Liu Y., Wang C. Investigation of the nitrogen flows of the food supply chain in Beijing-Tianjin-Hebei region, China during 1978–2017. Journal of Environment Management. 2022, 314:115038. (https://doi.org/10.1016/j.jenvman.2022.115038)

  18. Gong M, Yuan Q, Liu Y, Meng F, Wang C, Wei Ze. How local industries respond to the emission permit regulation: An agent-based modelling approach. Resources, Conservation and Recycling, 2022, 182:106280 (https://doi.org/10.1016/j.resconrec.2022.106280).

  19. Wang J, Yu F, Ma G, Peng F, Zhou X, Wu C, Yang W, Wang C, Cao D, Jiang H, Jing H, Qu S, Xu M. Gross economic-ecological product as an integrated measure for ecological service and economic products[J]. Resources, Conservation and Recycling, 2021, 171: 105566. (https://doi.org/10.1016/j.resconrec.2021.105566)

  20. Wang C, Liu Y, Chen W, Zhu B, Qu S, Xu M*. Critical Review of Global Plastics Stock and Flow Data, Journal of Industrial Ecology, 2021, 25(5): 1300-1317. (https://doi.org/10.1111/jiec.13125)

  21. Zhao B, Yu L, Wang C, Shuai C, Zhu J, Qu S, Taiebat M, Xu M*. Urban Air Pollution Mapping Using Fleet Vehicles as Mobile Monitors and Machine Learning, Environmental Science & Technology, 2021, 55(8):5579-5588. (https://doi.org/10.1021/acs.est.0c08034)

  22. Wang C, Wang J, Liu Y, Zhang L, Sun Y, Qu J. Less attention paid to waterborne SARS-CoV-2 spreading in Beijing urban communities, Frontiers of Environmental Science & Engineering, 2021, 15(5):110. (https://doi.org/10.1007/s11783-021-1398-2)

  23. Zhuge C, Wang C. Integrated modelling of autonomous electric vehicle diffusion: From review to conceptual design, Transportation Research Part D: Transport and Environment, 2021, 91:102679. (https://doi.org/10.1016/j.trd.2020.102679)

  24. Wang C, Xu M, Gustaf O, Liu Y. Characterizing of water-energy-emission nexus of coal-fired power industry using entropy weighting method. Resources, Conservation and Recycling, 2020, 161: 104991. (https://doi.org/10.1016/j.resconrec.2020.104991)

  25. Zhao S., Liu Y., Liang S., Wang C, Smith K., Jia N., Aror M. Effects of Urban Forms on Energy Consumption of Water Supply in China. Journal of Cleaner Production. 2020, 253: 119960. (https://doi.org/10.1016/j.jclepro.2020.119960)

  26. Zhuge C, Yu M, Wang C, et al. An Agent-based Spatiotemporal Integrated Approach to Simulating In-Home Water and Related Energy Use Behaviour: A Test Case of Beijing, China. 2020, Science of the Total Environment, 2020, 708: 135086. (https://doi.org/10.1016/j.scitotenv.2019.135086)

  27. Wang C, Lin L, Olsson G, et al. The scope and understanding of the water–electricity nexus. Resources, Conservation and Recycling, 2019, 150: 104453. (https://doi.org/10.1016/j.resconrec.2019.104453)

  28. Wang C, Wang R, Hertwich E, et al. Water scarcity risks mitigated or aggravated by the inter-regional electricity transmission across China. Applied energy, 2019, 238: 413-422. (https://doi.org/10.1016/j.apenergy.2019.01.120)

  29. Wang C, Gustaf O, Liu Y. Coal-fired Power Industry Water-Energy-Emission Nexus: a multi-objective optimization. Journal of Cleaner Production, 2018, 203, 367-375. (https://doi.org/10.1016/j.jclepro.2018.08.264).

  30. Wang C, Li Y, Liu Y. Investigation of water-energy-emission nexus of air pollution control of the coal-fired power industry: A case study of Beijing-Tianjin-Hebei region, China. Energy Policy, 2018, 115, 291-301. (https://doi.org/10.1016/j.enpol.2018.01.035)

  31. Yu M, Wang C, Liu Y, Olsson G, Wang C, Sustainability of Mega Water Diversion Projects: Experience and Lessons from China. Science of the Total Environment, 2018, 619, 721-731. (https://doi.org/10.1016/j.scitotenv.2017.11.006)

  32. Wang C, Wang R, Hertwich E, et al. A technology-based analysis of the water-energy-emission nexus of China’s steel industry[J]. Resources, Conservation and Recycling, 2017, 124: 116-128. (https://doi.org/10.1016/j.resconrec.2017.04.014)

  33. Wang R, Zimmerman J B, Wang C, et al. Freshwater vulnerability beyond local water stress: the heterogeneous effects of water-electricity nexus across the continental United States[J]. Environmental Science & Technology, 2017, 51 (17), 9899–9910. (https://doi.org/10.1021/acs.est.7b01942)

(二)中文期刊

  1. 张强, 龙洁, 王春艳, 刘毅*, 谢丹, 新冠疫情防控公众风险感知与应对行为动态演化特征. 环境工程技术学报, 2025,xxxx (https://doi.org/10.12153/j.issn.1674-991X.20240743)

  2. 姚琳洁,王春艳*,刘毅. 基于单元平衡的污水处理厂能量动态核算方法与案例研究.给水排水,2023,49(8):37-43. (https://doi.org/10.13789/j.cnki.wwe1964.2022.11.11.0004)

  3. 严伊竣,王春艳*,刘毅,董欣,刘艳臣,姚琳洁,社区化粪池污水能量转化估算与分析研究.中国环境科学, 2023.43(01):143-152. (https://doi.org/10.3969/j.issn.1000-6923.2023.01.016)

  4. 李阳,王春艳, 刘毅*, 汪自书, 城市典型居民社区水能消费碳排放核算与影响评价.环境工程技术学报,2022.12(06):1898-1904. (https://doi.org/10.12153/j.issn.1674-991X.20220426)

  5. 周啸,刘书明,王春艳. 典型居民水表计量误差曲线拟合及性能分析[J/OL].给水排水. (https://doi.org/10.13789/j.cnki.wwe1964.2021.06.09.0003)

  6. 魏泽洋,刘毅,王春艳,张佳,边江,姚琳洁,林斯杰,EWE Kaijie.环境计算:概念、发展与挑战[J/OL].清华大学学报(自然科学版):1-1. (https://doi.org/10.16511/j.cnki.qhdxxb.2022.21.006)

  7. 王春艳, 张景翔, 龙洁, 刘毅. 基于面板数据回归模型的家庭水-能消费时空特征与影响因素. 清华大学学报(自然科学版), 2022, 62(3): 614-626. (https://doi.org/19.16511/j.cnki.1hdxxb.2021.26.021)

  8. 王春艳, 周雨澎, 尤恺杰, 刘毅, 北京市居民家庭水-能消费活动碳核算及影响因素分析[J], 中国环境管理, 2021,3:53-62. (https://doi.org/10.16868/j.cnki.1674-6252.2021.03.000)

  9. 王春艳, 刘毅, 俞敏, 田磊, 电力行业水-能耦合关系研究综述[J], 中国环境科学, 2018, 38(12):4742~4748. (https://doi.org/10.19674/j.cnki.issn1000-6923.2018.0536)

(三)软件著作权

  1. 薄璐佳, 刘毅, 王春艳. 2025. 基于生成式代理的居民环境防疫行为模拟系统软件V1.0. 2025SR0177912.

  2. 李宗瀚, 王春艳, 刘毅, 2025. 基于大语言模型的居民节水节能行为助推系统V1.0, 2025SR0230187.

  3. 王春艳,王淼,刘毅. 2023. 基于混合机器学习模型的居民家庭生活用水行为识别模型软件V1.0. 2023SR1740247.

  4. 王春艳,刘毅,吴昊,李阳. 2023. 基于多源数据融合的城市住宅建筑供水能耗计算方法[简称: WeMax-WURB]V1.0. 2023SR0745013.

  5. 王春艳,姚琳洁,刘毅. 2023. 基于单元平衡的污水处理厂动态能量核算系统[简称: WeMax-WWTP]V1.0. 2023SR0359150.

  6. 宋广超, 刘毅, 王春艳. 2021. 基于多源大数据和深度学习的高精度城市动态噪声地图分析软件V1.0. 2021SR0025672.

  7. 俞敏,刘毅,王超然,赵书畅,王春艳. 2019. 基于行为和技术的城市生活水-能消费模拟系统[简称:CREAT]V1.0. 2019SR0493454.

  8. 王春艳, 刘毅, 何炜琪. 2018. 基于单元技术的工业水-能-污染物模拟系统V1.0. 2018SR401995.

  9. 王春艳, 刘毅. 2018. 基于单元技术的火电行业水-能-污染物模拟系统V1.0. 2018SR690272.