【个人描述】

主要研究兴趣-环境大数据：应用地理信息系统(GIS)、遥感和数理模型(包括机器学习等)，研究污染物在大气、土壤、水体等环境多介质中的归趋，温室气体时空分布格局，以及污染暴露与气候变化对人体健康的影响。已在Environmental Science & Technology、Atmospheric Chemistry and Physics、中国环境科学等重要环境期刊发表论文多篇。对GIS、遥感、数据分析或环境健康感兴趣的同学，欢迎联系。

【学习及工作经历】

2017 -至今，四川大学，建筑与环境学院，特聘副研究员、副教授

2014 - 2017，浙江大学，环境与资源学院，博士后(国际交流计划引进项目)

2013 - 2014，加州大学戴维斯分校(UC Davis)，土壤-大气-水资源系，博士后

2008 - 2013，加州大学戴维斯分校(UC Davis)，生态学，博士

2007 - 2008，加州大学戴维斯分校(UC Davis)，土壤-大气-水资源系，研究助理

2002 - 2006，浙江大学，生命科学学院，生物科学，学士

【主要研究领域】

1.地理信息系统与遥感技术应用

2.环境大数据分析与机器学习建模

3.污染物环境归趋模拟与系统分析

4.大气复合污染对人体健康影响

5.温室气体时空分布及气候变化

【承担的主要课程】

3S技术与应用；R语言基础与应用；环境工程专业英语

【主持或参与的主要科研项目】

1.国家自然科学基金面上项目，机器学习重构PM_2.5时空分布中的特征空间优化机制研究，2021-2024，主持

2.四川省重点研发项目，基于多源城市大数据的空气质量全面域时空计算推断技术应用示范，2020-2021，主持

3.国家重点研发计划-专题，灾区恢复力综合评价技术，2018-2021，主持

4.先河环保合作研发项目，大气污染物高分辨率时空分布与网格化监测数据特征识别，2020，主持

5.成都大数据产业研究院合作研发项目，生态环境大数据及遥感数据分析，2020，主持

6.国家自然科学基金青年项目，城市尺度的邻苯二甲酸酯环境过程模拟，2017-2019，主持

7.四川大学人才引进启动经费，大气污染数值模拟及防控对策研究，2017-2020，主持

8.国家973项目，土壤复合有机污染特征、界面行为及修复技术原理，2014-2018，参与

9.国家自然科学基金重点国际(地区)合作项目，典型土壤有机污染物的生物有效性及其调控原理，2016-2020，参与

10.美国环保署-区域农业综合病虫害管理项目，PURE-eIPM: an online interactive system to advance IPM adoption，2013-2014，参与

【代表性论著】(*通讯作者）

1.Zhan, Y.; Kim, J. Editorial: special issue on “air quality monitoring, assessment, & forecasting using GIScience and remote sensing”.GIScience & Remote Sensing,2020.

2. Zeng, W.; Zhao, H.; Liu, R.; Yan, W.; Qiu, Y.; Yang, F.; Shu, C.*;Zhan, Y.*Association between NO₂cumulative exposure and influenza prevalence in mountainous regions: A case study from southwest China.Environmental Research,2020.

3.Deng, X.; Ma, W.; Ren, Z.; Zhang, M.; Grieneisen, M.L.; Chen, X.; Fei, X.; Qin, F.;Zhan, Y.*; Lv, X.*Spatial and temporal trends of soil total nitrogen and C/N ratio for croplands of East China.Geoderma,2020.

4.汤宇磊;杨复沫;詹宇*.四川盆地PM_2.5与PM₁₀高分辨率时空分布与关联分析.中国环境科学,2019.

5.Liu, D.; Di, B.; Luo, Y.; Deng, X.; Zhang, H.; Yang, F.; Grieneisen, M.L.,Zhan, Y.*Estimating ground-level CO concentrations across China based on national monitoring network and MOPITT: Potentially overlooked CO hotspots in the Tibetan Plateau.Atmospheric Chemistry and Physics,2019.

6.Zhang, H.; Di, B.; Liu, D.; Li, J.;Zhan, Y.*Spatiotemporal distributions of ambient SO₂across China based on satellite retrievals and ground observations: Substantial decrease in human exposure during 2013-2016.Environmental Research,2019.

7.Tang, D.; Liu, D.; Tang, Y.; Seyler, B.C.; Deng, X.;Zhan, Y.*Comparison of GOCI and Himawari-8 aerosol optical depth for deriving full-coverage hourly PM_2.5across the Yangtze River Delta.Atmospheric Environment,2019.

8.Li, J.; Zhang, H.; Luo, Y.; Deng, X.; Grieneisen, M.L.; Yang, F.; Di, B.^*;Zhan, Y.*Stepwise genetic algorithm for adaptive management: Application to air quality monitoring network optimization.Atmospheric Environment,2019.

9.Zhan, Y.; Luo, Y.; Deng, X.; Zhang, K.; Zhang, M.; Grieneisen, M. L.; Di, B.* Satellite-based estimates of daily NO₂exposure in China using hybrid random forest and spatiotemporal kriging model.Environmental Science & Technology,2018.

10.Zhan, Y.; Luo, Y.; Deng, X.; Grieneisen, M. L.; Zhang, M.; Di, B.* Spatiotemporal prediction of daily ambient ozone levels across China using random forest for human exposure assessment.Environmental Pollution,2018.

11. Zhang, R.; Di, B.; Luo, Y.; Deng, X.; Grieneisen, M. L.; Wang, Z.; Yao, G.;Zhan, Y.*A nonparametric approach to filling gaps in satellite-retrieved aerosol optical depth for estimating ambient PM_2.5levels.Environmental Pollution,2018.

12. Deng, X.; Chen, X.; Ma, W.; Ren, Z.; Zhang, M.; Grieneisen, M. L.; Long, W.; Ni, Z.;Zhan, Y.*; Lv, X.* Baseline map of organic carbon stock in farmland topsoil in East China.Agriculture, Ecosystem & Environment,2018.

13.Xia, M.; Ouyang, X.; Wang, X.; Shen, X.*;Zhan, Y.*Occupational exposure assessment of phthalate esters in indoor and outdoor microenvironments.Journal of Environmental Sciences,2018.

14.Zhan, Y.; Luo, Y.; Deng, X.; Chen, H.; Grieneisen, M. L.; Shen, X.; Zhu, L.*; Zhang, M.* Spatiotemporal prediction of continuous daily PM_2.5concentrations across China using a spatially explicit machine learning algorithm.Atmospheric Environment,2017.

15.Zhan, Y.; Sun, J.; Luo, Y.; Pan, L.; Deng, X.; Wei, Z.; Zhu, L.* Estimating emissions and environmental fate of di-(2-ethylhexyl) phthalate in Yangtze River Delta, China: Application of inverse modeling.Environmental Science & Technology,2016.

16. Deng, X.;Zhan, Y.*; Wang, F.; Ma, W.; Ren, Z.; Chen, X.; Qin, F.; Long, W.; Zhu, Z.; Lv, X.* Soil organic carbon of an intensively reclaimed region in China: Current status and carbon sequestration potential.Science of the Total Environment,2016.

17.Zhan, Y.; Fan, S.; Zhang, M.*; Zalom, F. Modelling the effect of pyrethroid use intensity on mite population density for walnuts.Pest Management Science,2015.

18.Zhan, Y.; Zhang, M.* Spatial and temporal patterns of pesticide use on California almonds and associated risks to the surrounding environment.Science of the Total Environment,2014.

19.Zhan, Y.; Zhang, M.* Application of a combined sensitivity analysis approach on a pesticide environmental risk indicator.Environmental Modelling & Software,2013.

20.Zhan, Y.; Zhang, M.* PURE: A web-based decision support system to evaluate pesticide environmental risk for sustainable pest management practices in California.Ecotoxicology and Environmental Safety,2012.

【学术兼职】

编辑：Environmental Research

客座编辑：GIScience & Remote Sensing

期刊审稿人：Environmental Science & Technology;Remote Sensing of Environment; Environment International; Environmental Pollution;Science of the Total Environment; Environmental Research等