王玉凤

　　 　　

姓名：王玉凤

职称：讲师

通讯地址：陕西省杨凌示范区渭惠路23号

西北农林科技大学 水利与建筑工程学院

邮编：712100

邮箱：wangyf11050406@163.com

教育经历：

济南大学，水利与环境学院（学士、硕士学位）；

中国地质大学（北京），水资源与环境学院（博士学位）。

研究方向：

岩溶区水文循环过程模拟、地下水流数值模拟、水资源优化配置等。

主持科研项目：

中央高校基本科研业务费项目：“变化环境下典型岩溶区水文过程模拟研究”（2452021086，2021-2024）20万元，主持。

参与科研项目：

科技部国家重点研发计划项目“我国西部特殊地貌区地下水开发利用与生态功能保护”下属课题“生态脆弱区地下水合理开发与生态保护的监控—预警与对策综合研究”（2017YFC0406106，2017-2020）202.47万元，参与。

发表论文：

累计发表高水平论文8篇，其中以第一作者或通讯作者身份发表SCI论文5篇。

1. The Application of Improved SWAT Model to Hydrological Cycle Study in Karst Area of South China. Sustainability, 2019, 11(18), 5024; https://doi.org/10.3390/su11185024

2. Study on Optimal Allocation of Water Resources Based on Surrogate Model of Groundwater Numerical Simulation. Water 2019, 11(4): 831;  https://doi.org/10.3390/w11040831  

3.The stochastic short-term hydropower generation scheduling considering uncertainty in load output forecasts. Energy, 2022, 241:122838. https://doi.org/10.1016/j.energy.2021.122838.

4. The Cloud Model Based Stochastic Multi-Criteria Decision Making Technology for River Health Assessment Under Multiple Uncertainties. Journal of Hydrology, https://doi.org/10.1016/j.jhydrol.2019.124437

5. Uncertainty propagation and risk analysis oriented stochastic multi-criteria decision making for unconventional water resources management. Journal of Hydrology, https://doi.org/10.1016/j.jhydrol.2021.126019.

6. Multi-objective short-term hydropower generation operation for cascade reservoirs and stochastic decision making under multiple uncertainties. Journal of Cleaner Production, https://doi.org/10.1016/j.jclepro.2020.122995.

7. Long-term multi-objective power generation operation for cascade reservoirs and risk decision making under stochastic uncertainties. Renewable Energy,  https://doi.org/10.1016/j.renene.2020.08.106.

8. The improved multi-criteria decision-making model for multi-objective operation in a complex reservoir system. Journal of Hydroinformatics , https://doi.org/10.2166/hydro.2019.150.