Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Zeda Yin"'
Publikováno v:
Journal of Hydroinformatics, Vol 26, Iss 1, Pp 319-336 (2024)
Flooding is one of the most frequent natural hazards and causes more economic loss than all the other natural hazards. Fast and accurate flood prediction has significance in preserving lives, minimizing economic damage, and reducing public health ris
Externí odkaz:
https://doaj.org/article/c79c5ee877b44818b01eebadadd1cfb5
Publikováno v:
Water, Vol 13, Iss 18, p 2487 (2021)
Wetlands play a significant role in flood mitigation. Remote sensing technologies as an efficient and accurate approach have been widely applied to delineate wetlands. Supervised classification is conventionally applied for remote sensing technologie
Externí odkaz:
https://doaj.org/article/20d57461ec8247509726257dc0f7bb85
Publikováno v:
World Environmental and Water Resources Congress 2023.
Publikováno v:
World Environmental and Water Resources Congress 2023.
Autor:
Zeda Yin, Mehdi Esmaeilpour
Publikováno v:
Journal of Hydrodynamics. 33:804-820
The performance and flow field of hydropower turbine in shallow water can be affected by the presence of free surface. Therefore, the influence of free surface on the turbine performance was studied through transient computational fluid dynamics (CFD
Publikováno v:
Journal of Fluids Engineering. 144
This work investigates the siphon break phenomenon associated with pipe leakage location. The present study is divided into two parts: (1) an unsteady three-dimensional (3D) computational fluid dynamics (CFD) model is developed to simulate the pressu
Publikováno v:
World Environmental and Water Resources Congress 2022.
Publikováno v:
World Environmental and Water Resources Congress 2022.
Publikováno v:
World Environmental and Water Resources Congress 2022.
Publikováno v:
Water
Volume 13
Issue 18
Water, Vol 13, Iss 2487, p 2487 (2021)
Volume 13
Issue 18
Water, Vol 13, Iss 2487, p 2487 (2021)
Wetlands play a significant role in flood mitigation. Remote sensing technologies as an efficient and accurate approach have been widely applied to delineate wetlands. Supervised classification is conventionally applied for remote sensing technologie