1. He, C.#; Ji, M.#; Li, T.; Liu, X.; Tang, D.; Zhang, S.; Luo, Y.; Grieneisen, M.L.; Zhou, Z.;Zhan, Y.* Deriving full-coverage and fine-scale XCO2 across China based on OCO-2 satellite retrievals and CarbonTracker output.Geophysical Research Letters,2022. 2. Zhang, S.; Mi, T.; Wu, Q.; Luo, Y.; Grieneisen, M.L.; Shi, G.; Yang, F.;Zhan, Y.* A data-augmentation approach to deriving long-term surface SO2 across Northern China: Implications for interpretable machine learning.Science of the Total Environment,2022. 3. Wu, Q.; Li, T.; Zhang, S.; Fu, J.; Seyler, B.C.; Zhou, Z.; Deng, X.; Wang, B.;Zhan, Y.* Evaluation of NOx emissions before, during, and after the COVID-19 lockdowns in China: A comparison of meteorological normalization methods.Atmospheric Environment,2022. 4.Wu, Y.; Di, B.; Luo, Y.; Grieneisen, M.L.; Zeng, W.; Zhang, S.; Deng, X.; Tang, Y.; Shi, G.; Yang, F.;Zhan, Y.* A robust approach to deriving long-term daily surface NO2 levels across China: Correction to substantial estimation bias in back-extrapolation.Environment International,2021. 5.Yan, F.#; Liu, H.#; Zhang, H.; Yi, L.; Wu, Y.; Deng, C.; Qiu, Y.; Ma, X.; Li, Q.; Yang, F.; Xu, W.; Tao, J.; Buonocore, J.J.;Zhan, Y.*; Dai, L.* Association between maternal exposure to gaseous pollutants and atrial septal defect in China: A nationwide population-based study.Environmental Research,2021. 6.Zhan, Y.; Kim, J. Editorial: special issue on “air quality monitoring, assessment, & forecasting using GIScience and remote sensing”.GIScience & Remote Sensing,2020. 7. Zeng, W.; Zhao, H.; Liu, R.; Yan, W.; Qiu, Y.; Yang, F.; Shu, C.*;Zhan, Y.* Association between NO2 cumulative exposure and influenza prevalence in mountainous regions: A case study from southwest China.Environmental Research,2020. 8. 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. 9.汤宇磊;杨复沫;詹宇*.四川盆地PM2.5与PM10高分辨率时空分布与关联分析.中国环境科学, 2019. 10. 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. 11. Zhang, H.; Di, B.; Liu, D.; Li, J.;Zhan, Y.* Spatiotemporal distributions of ambient SO2 across China based on satellite retrievals and ground observations: Substantial decrease in human exposure during 2013-2016.Environmental Research,2019. 12.Zhan, Y.; Luo, Y.; Deng, X.; Zhang, K.; Zhang, M.; Grieneisen, M. L.; Di, B.* Satellite-based estimates of daily NO2 exposure in China using hybrid random forest and spatiotemporal kriging model.Environmental Science & Technology,2018. 13.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. 14. 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 PM2.5 levels.Environmental Pollution,2018. 15. 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. 16.Zhan, Y.; Luo, Y.; Deng, X.; Chen, H.; Grieneisen, M. L.; Shen, X.; Zhu, L.*; Zhang, M.* Spatiotemporal prediction of continuous daily PM2.5 concentrations across China using a spatially explicit machine learning algorithm.Atmospheric Environment,2017. 17.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. 18. 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. 19.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. 20.Zhan, Y.; Zhang, M.* Application of a combined sensitivity analysis approach on a pesticide environmental risk indicator.Environmental Modelling & Software,2013. |