K
Khosro Morovati
Researcher at Tsinghua University
Publications - 15
Citations - 125
Khosro Morovati is an academic researcher from Tsinghua University. The author has contributed to research in topics: Environmental science & Biology. The author has an hindex of 5, co-authored 9 publications receiving 62 citations. Previous affiliations of Khosro Morovati include Razi University.
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The optimal dam site selection using a group decision-making method through fuzzy TOPSIS model
TL;DR: The application of the group fuzzy TOPSIS model for optimal ranking of the case study of Kandoleh dam sites in Kermanshah province, Iran, involving 18 input criteria is described.
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Development of optimal water supply plan using integrated fuzzy Delphi and fuzzy ELECTRE III methods—Case study of the Gamasiab basin
TL;DR: A comparison of the proposed method with other MCDM methods, including fuzzy analytic hierarchy process and fuzzy technique for order preference by simulation of ideal solution, indicated that the results of the employed method matched more closely to the local experts' opinion.
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Study of inception point, void fraction and pressure over pooled stepped spillways using Flow-3D
TL;DR: In this paper, the authors used Flow-3D software to evaluate two-phase flow characteristics including pressure, void fraction and inception point in a flat-stepped chute.
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Numerical investigation of the configuration of the pools on the flow pattern passing over pooled stepped spillway in skimming flow regime
TL;DR: In this article, the VOF method was used to simulate the flow free surface, and K−δ(RNG) was employed to model turbulence, and the results demonstrated that the flow velocity and the residual head showed significant differences in the spillway width with regard to different pool configurations.
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Study of Energy Dissipation of Pooled Stepped Spillways
TL;DR: In this paper, the effect of different number of steps and discharge on flow pattern especially energy dissipation was investigated, where the VOF method was used to simulate the flow surface and the k-e turbulence model was used for flow turbulence simulation.