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Keith Enever
Researcher at University UCINF
Publications - 13
Citations - 258
Keith Enever is an academic researcher from University UCINF. The author has contributed to research in topics: Open-channel flow & Flood myth. The author has an hindex of 4, co-authored 9 publications receiving 151 citations. Previous affiliations of Keith Enever include University of Wollongong.
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Journal ArticleDOI
Application of solar energy in water treatment processes: A review
TL;DR: In this paper, the status of productivity, energy consumption, and water production costs of different solar-based water treatment technologies are reviewed, and the real world applicability as well as technical and economic feasibility is evaluated.
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Flood Mitigation Using an Innovative Flood Control Scheme in a Large Lake: Dongting Lake, China
Yizhuang Liu,Shu-Qing Yang,Changbo Jiang,Muttucumaru Sivakumar,Keith Enever,Yuannan Long,Bin Deng,Usman Khalil,Lingshi Yin +8 more
TL;DR: In this paper, an innovative flood control scheme (IFCS) is applied to Dongting Lake (the second largest freshwater lake in China) to alleviate flood disasters, and the case study reveals that after applying IFCS, the hydraulic gates play a very important role in floodwater regulation and further study should be conducted to find the optimized operation for each gate in the flood control system system.
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Investigating an Innovative Sea-Based Strategy to Mitigate Coastal City Flood Disasters and Its Feasibility Study for Brisbane, Australia
Usman Khalil,Shu-Qing Yang,Muttucumaru Sivakumar,Keith Enever,Mariam Sajid,Muhammad Zain Bin Riaz +5 more
TL;DR: In this paper, the authors examined an innovative coastal reservoir (CR) technique as a feasible solution for flood adaptation and mitigation in the Brisbane River Estuary (BRE), Australia, which is vulnerable to coastal flooding and demonstrated that the innovative use of a CR could considerably decrease the overall flood peak and lessen flood severity in the coastal city of Brisbane.
Journal ArticleDOI
Three-Dimensional Velocity Distribution in Straight Smooth Channels Modeled by Modified Log-Law
Shu-Qing Yang,Muhammad Zain Bin Riaz,Muttucumaru Sivakumar,Keith Enever,Nadeeka Sajeewani Miguntanna +4 more
TL;DR: In this article, a modified version of the log-law was proposed to estimate the velocity contours in straight and smooth channel flows, where the global shear velocities (gRS) 0.5 and (ghS)0.5 are used to normalize the measured velocity u and its distance y.
Journal ArticleDOI
Re-examining log law velocity profile in smooth open channel flows
Nadeeka Sajeewani Miguntanna,Hamish Moses,Muttucumaru Sivakumar,Shu-Qing Yang,Keith Enever,Muhammad Zain Bin Riaz +5 more
TL;DR: In this paper, a comprehensive investigation of velocity distribution is presented, and the log law is re-examined using experimental data from a smooth uniform open channel flow, where a Laser Doppler Velocimetry system was used to measure velocity profiles at the centre of the channel.