A dual-layer MPI continuous large-scale hydrological model including Human Systems

Avesani, Diego; Galletti, Andrea; Piccolroaz, Sebastiano; Bellin, Alberto; Majone, Bruno

doi:10.1016/j.envsoft.2021.105003

Cited by 28 publications

(26 citation statements)

References 62 publications

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“…Hydrological simulations were performed at the daily time scale with the HYPERstreamHS model (Avesani et al., 2021; Laiti et al., 2018), which couples the HYPERstream routing scheme (recently proposed by Piccolroaz et al., 2016) with a continuous Soil Conservation Service (SCS) module for surface flow generation (Michel et al., 2005). Subsurface return flow was modeled by a nonlinear reservoir (Majone et al., 2010).…”

Section: Methodsmentioning

confidence: 99%

“…In previous studies, the SCS runoff module was successfully applied to two tributaries of the Adige River (Bellin et al, 2016;Piccolroaz et al, 2016). For a detailed description of the hydrologic modeling framework see Laiti et al, (2018) and Avesani et al (2021).…”

Section: Hydrologic Simulationsmentioning

confidence: 99%

“…To achieve the above‐mentioned goals, first, we used the process‐based HYPERstreamHS hydrological model (Avesani et al., 2021) to simulate the natural streamflow series of one‐hundred stream reaches throughout the Adige River basin where biological information was available. Then, we classified distinct flow regimes representing the natural hydrological conditions of the streams in the basin.…”

Section: Introductionmentioning

confidence: 99%

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Combining Hydrologic Simulations and Stream‐network Models to Reveal Flow‐ecology Relationships in a Large Alpine Catchment

Larsen

Majone

Zulian

et al. 2021

Water Resources Research

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The hydrological model HYPERstreamHS was used to simulate natural streamflow series at100 bio-assessment sites across a large Alpine basin. Three flow-regime classes were identified, representing typical nivo-glacial, nivo-pluvial, and pluvial streams. Spatial stream-network models identified distinct flow-ecology relationships and relevant spatial autocorrelation across classified regimes, which can aid in the implementation of targeted water management schemes.

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Section: Methodsmentioning

confidence: 99%

Section: Hydrologic Simulationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Combining Hydrologic Simulations and Stream‐network Models to Reveal Flow‐ecology Relationships in a Large Alpine Catchment

Larsen

Majone

Zulian

et al. 2021

Water Resources Research

Self Cite

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“…Furthermore, the number of parameters of the model required for simulation has also increased. Most of the models currently in use are executed serially, resulting in the simulation taking a long time to complete [6]. The evolution of the model conversely slows down the process.…”

Section: Introductionmentioning

confidence: 99%

“…Liu et al [9] improved the simulation speed by parallelizing the grid-based distributed hydrological model with OpenMP. Avesani et al [6] developed HYPERstreamHS, which parallelizes a large-scale river basin model to efficiently consider various hydraulic structures. In particular, the parallel performance was better in the large-scale model than in the small-scale model [9,10].…”

Section: Introductionmentioning

confidence: 99%

Parallelization of a 3-Dimensional Hydrodynamics Model Using a Hybrid Method with MPI and OpenMP

Ahn

Kim

Cho³

et al. 2021

Processes

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Process-based numerical models developed to perform hydraulic/hydrologic/water quality analysis of watersheds and rivers have become highly sophisticated, with a corresponding increase in their computation time. However, for incidents such as water pollution, rapid analysis and decision-making are critical. This paper proposes an optimized parallelization scheme to reduce the computation time of the Environmental Fluid Dynamics Code-National Institute of Environmental Research (EFDC-NIER) model, which has been continuously developed for water pollution or algal bloom prediction in rivers. An existing source code and a parallel computational code with open multi-processing (OpenMP) and a message passing interface (MPI) were optimized, and their computation times compared. Subsequently, the simulation results for the existing EFDC model and the model with the parallel computation code were compared. Furthermore, the optimal parallel combination for hybrid parallel computation was evaluated by comparing the simulation time based on the number of cores and threads. When code parallelization was applied, the performance improved by a factor of approximately five compared to the existing source code. Thus, if the parallel computational source code applied in this study is used, urgent decision-making will be easier for events such as water pollution incidents.

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Acceleration of flow modeling using a freeware 2D GPU-shallow water equations code

Mahmood

Haider²,

Gabriel³

et al. 2022

Arab J Geosci

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A dual-layer MPI continuous large-scale hydrological model including Human Systems

Cited by 28 publications

References 62 publications

Combining Hydrologic Simulations and Stream‐network Models to Reveal Flow‐ecology Relationships in a Large Alpine Catchment

Combining Hydrologic Simulations and Stream‐network Models to Reveal Flow‐ecology Relationships in a Large Alpine Catchment

Parallelization of a 3-Dimensional Hydrodynamics Model Using a Hybrid Method with MPI and OpenMP

Acceleration of flow modeling using a freeware 2D GPU-shallow water equations code

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