Recent advances in surrogate modeling methods for uncertainty quantification and propagation

C Wang, X Qiang, M Xu, T Wu - Symmetry, 2022 - mdpi.com
Surrogate-model-assisted uncertainty treatment practices have been the subject of
increasing attention and investigations in recent decades for many symmetrical engineering …

Optimization of river environmental management based on reinforcement learning algorithm: a case study of the Yellow River in China

M Chen, Y Li, X Zhang, R Liao, C Wang, X Bi - Environmental Science and …, 2023 - Springer
Generating scientific management strategy contributes to the sustainable development of
river ecological environment. In this study, a multi-objective coupled water and sediment …

AICSS: Automatic simulator–controller/optimizer model of open channels

K Shahverdi - Irrigation and Drainage, 2023 - Wiley Online Library
The coupling between simulators and controllers in control systems of irrigation canals has
always been a challenging issue. Consequently, simplified or approximated models of Saint …

[HTML][HTML] The Development of a Hydrological Method for Computing Extreme Hydrographs in Engineering Dam Projects

OE Coronado-Hernández, VS Fuertes-Miquel… - Hydrology, 2024 - mdpi.com
Engineering dam projects benefit society, including hydropower, water supply, agriculture,
and flood control. During the planning stage, it is crucial to calculate extreme hydrographs …

Uncertainty analysis in probabilistic design of detention rockfill dams using Monte-Carlo simulation model and probabilistic frequency analysis of stability factors

MM Riyahi, H Riahi-Madvar - Environmental Science and Pollution …, 2023 - Springer
The detention rockfill dams are of promising importance in flood control projects, due to their
minimal technical requirement, low cost, minimal environmental side effects, and self …