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BG_Flood

The model is designed to simulate flood/inundation caused by tsunami, river, rain, tide or storm surge (from wind stress or atm pressure differential) or any combination of these.
https://github.com/CyprienBosserelle/BG_Flood

Category: Climate Change
Sub Category: Natural Hazard and Storm

Keywords

adaptive flood gpu inundation rain river storm surge tsunami

Keywords from Contributors

geocode virtualization

Last synced: about 1 hour ago
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Repository metadata

Numerical model for simulating shallow water hydrodynamics on the GPU using an Adaptive Mesh Refinment type grid. The model was designed with the goal of simulating inundation (River, Storm surge or tsunami). The model uses a Block Uniform Quadtree approach that runs on the GPU but the adaptive/multi-resolution/AMR is being implemented and not yet operational. The core SWE engine and adaptivity has been inspired and taken from St Venant solver from Basilisk and the CUDA GPU memory model has been inspired by the work from Vacondio _et al._2017)

README.md

BG Flood

Numerical model for simulating shallow water hydrodynamics on the GPU using an Adaptive Mesh Refinment type grid. The model was designed with the goal of simulating inundation (River, Storm surge or tsunami). The model uses a Block Uniform Quadtree approach that runs on the GPU but the adaptive/multi-resolution/AMR is being implemented and not yet operational.

The core SWE engine and adaptivity has been inspired and taken from St Venant solver from Basilisk and the CUDA GPU memory model has been inspired by the work from Vacondio et al. 2017)

The adaptive version of the model is currently under heavy developement. Makefile in the master branch is not operational and general process may be broken in other branches as well.

License: GPL v3
Documentation (Work in progress)

Build status

development: Build Status

Testing

CI devlopment: CI


Owner metadata


GitHub Events

Total
Last Year

Committers metadata

Last synced: 6 days ago

Total Commits: 821
Total Committers: 6
Avg Commits per committer: 136.833
Development Distribution Score (DDS): 0.169

Commits in past year: 22
Committers in past year: 1
Avg Commits per committer in past year: 22.0
Development Distribution Score (DDS) in past year: 0.0

Name Email Commits
Cyprien Bosserelle c****e@g****m 682
github-actions[bot] g****] 113
Wolfgang Hayek w****k@n****z 17
Chris Scott c****s@c****k 3
AliceHarang 8****g 3
bosserellec b****c@n****l 3

Committer domains:


Issue and Pull Request metadata

Last synced: 1 day ago

Total issues: 47
Total pull requests: 61
Average time to close issues: about 1 year
Average time to close pull requests: about 1 month
Total issue authors: 8
Total pull request authors: 2
Average comments per issue: 1.09
Average comments per pull request: 1.2
Merged pull request: 42
Bot issues: 0
Bot pull requests: 0

Past year issues: 4
Past year pull requests: 8
Past year average time to close issues: N/A
Past year average time to close pull requests: 11 days
Past year issue authors: 2
Past year pull request authors: 2
Past year average comments per issue: 0.0
Past year average comments per pull request: 1.88
Past year merged pull request: 3
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/CyprienBosserelle/BG_Flood

Top Issue Authors

  • CyprienBosserelle (33)
  • AliceHarang (7)
  • rosepearson (2)
  • ZhonghouXu (1)
  • JudGiblin (1)
  • RegMeasures (1)
  • GuglielmoStecca (1)
  • lj-cug (1)

Top Pull Request Authors

  • CyprienBosserelle (48)
  • AliceHarang (13)

Top Issue Labels

  • bug (11)
  • enhancement (10)
  • Code cleanup (3)
  • wontfix (1)
  • Easytofix (1)
  • Polls (1)

Top Pull Request Labels

Score: 5.996452088619021