Hello! I am Lingfeng Zhou (周凌峰).
About me
I am a PhD student at Beijing Normal University.
I am particularly interested in watershed hydrological and water quality modeling. Specific research interests include: (1) watershed-scale heavy metal modeling; (2) weather generator; (3) uncertainty quantification.
Models
- SWAT-HM model
- EHS weather generator
Publications
- Zhou, L., Meng, Y., Lu, C., Yin, S., & Ren, D. (2020) A frequency-domain nonstationary multi-site rainfall generator for use in hydrological impact assessment. Journal of Hydrology
- Zhou, L., Meng, Y., Vaghefi, S. A., Marras, P. A., Sui, C., Lu, C., & Abbaspour, K. C. (2020) Uncertainty-based metal budget assessment at the watershed scale: Implications for environmental management practices. Journal of Hydrology
- Zhou, L., Meng, Y., & Abbaspour, K. C. (2019) A new framework for multi-site stochastic rainfall generator based on empirical orthogonal function analysis and Hilbert-Huang transform. Journal of Hydrology
- Meng, Y., Zhou, L., He, S., Lu, C., Wu, G., Ye, W., & Ji, P. (2018) A heavy metal module coupled with the SWAT model and its preliminary application in a mine-impacted watershed in China. Science of The Total Environment
Presentations
- The 2019 International SWAT Conference, Vienna, Austria. 2019. A frequency-domain nonstationary multi-site rainfall generator for use in hydrological impact assessment
- The EGU General Assembly 2018, Vienna, Austria. 2018. A new meteorological scenario generation method for hydrological impact assessment based on empirical orthogonal function analysis and Hilbert-Huang transform
- The 2016 International SWAT Conference, Beijing, China. 2016. A Heavy Metal Module Coupled in SWAT Model and Its Application in the Upstream Basin of the Liuyang River in China
- The 2015 International SWAT Conference, Sardinia, Italy. 2015. A Heavy Metal Module Coupled in SWAT Model and Its Application in Liuyang River Upstream Basin in China
Lingfeng Zhou, Ph.D. student
Beijing Normal University
Email: zhoulf@mail.bnu.edu.cn (or lingfeng.zhou.cn@gmail.com)
Webpage: https://lyntonzhou.github.io