YANG Zhe
INTRODUCTION TO Zhe Yang
Zhe Yang, Ph.D., Associated Professor of Water Resources and Environmental Engineering, College of Water Resources and Architectural Engineering
Northwest A&F University, P.R.China.
23# Weihui Rd, Yangling, Shaanxi Province, 712100
0086-17791213803 (Cell-phone)
zyang7279@nwafu.edu.cn
EDUCATION
2020 Ph.D. Hydrology and Water Resources, Hohai University (HHU) (Master-Doctor combined program)
2016 M.Sc. Hydrology and Water Resources, Hohai University
2013 B.Sc. Water Resources Science and Engineering, University of Jinan
ACADEMIC POSITIONS
10/2020 – now Associated Professor, Water Resources and Environmental Engineering, Northwest A&F University
10/2018–10/2019 Visiting Scholar, IIHR-Hydroscience & Engineering, University of Iowa, USA.
RESEARCH INTERESTS
Water Resources Management and Scheduling
Water Resources System Analysis
Reservoir Operation
Unconventional Water Resources Utilization
Multi-objective Optimization
Stochastic Decision-making
Water Ecology & Health Assessment
RESEARCH PROJECTS
2022-2024 Multi-objective regulation risk and decision-making adaptability of regional water resources system under changing environment, National Natural Science Foundation of China, ¥ 300,000 CNY, PI
2021-2024 Runoff response uncertainty and reservoir adaptive regulation under changing environment, Chinese Universities Scientific Fund, ¥ 200,000 CNY, PI
2012-2016 Optimal scheduling of important hydraulic engineering to improve the relationship between river and lake, The National Key Basic Research Program of China (973 Program) (2012CB417006), Participant
SELECTED PUBLICATIONS
1. The Cloud Model Based Stochastic Multi-Criteria Decision Making Technology for River Health Assessment Under Multiple Uncertainties. Journal of Hydrology, 2020, 581:124437, 2022 IF="6.708, The first author
2. Uncertainty propagation and risk analysis oriented stochastic multi-criteria decision making for unconventional water resources management. Journal of Hydrology, 2021, 595, 126019. https://doi.org/10.1016/j.jhydrol.2021.126019. 2022 IF="6.708," The first author
3. Multi-objective short-term hydropower generation operation for cascade reservoirs and stochastic decision making under multiple uncertainties. Journal of Cleaner Production, 2020, 276: 122995 https://doi.org/10.1016/j.jclepro.2020.122995, 2022 IF="11.072" The first author
4. Long-term multi-objective power generation operation for cascade reservoirs and risk decision making under stochastic uncertainties. Renewable Energy, 2020,164: 313-330. https://doi.org/10.1016/j.renene.2020.08.106，2022 IF="8.634, The first author
5. 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, 2022 IF="8.857，The first author
6. The stochastic decision making framework for long-term multi-objective energy-water supply-ecology operation in parallel reservoirs system under uncertainties. Expert Systems with Applications, 2022, 187: 115907. https://doi.org/10.1016/j.eswa.2021.11590，2022 IF="8.663，The first author
7. The cascade reservoirs multi-objective ecological operation optimization considering different ecological flow demand. Water Resources Management, 2019, 33(1):207-228. 2022 IF="4.426，The first author
8. The short-term economical operation problem for hydropower station using chaotic normal cloud model discrete shuffled frog leaping algorithm. Water Resources Management. 2020, 34(3): 905-927. 2022 IF="4.426, The first author
9. The multi-objective operation for cascade reservoirs using MMOSFLA with emphasis on power generation and ecological benefit. Journal of Hydroinformatics, 2019, 21(2), 257-278. 2022 IF="3.058，The first author
10. Two dimensional grey cloud clustering-fuzzy entropy comprehensive assessment model for river health evaluation. Human and Ecological Risk Assessment, 2020, 26(3): 726-756. 2022 IF="4.997 , The first author
