A curated list of open technology projects to sustain a stable climate, energy supply, biodiversity and natural resources.

Amanzi

Provides a flexible and extensible parallel flow and reactive transport simulation capability for environmental applications.
https://github.com/amanzi/amanzi

Category: Hydrosphere
Sub Category: Freshwater and Hydrology

Keywords from Contributors

hydrology meshing grid geology earth-science delaunay-triangulation subsurface-remediation subsurface-hydrology soil-vapor simulation-modeling

Last synced: about 12 hours ago
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Repository metadata

Amanzi primary repository

README.md

Amanzi

Master:
Build Status

BACKGROUND

Amanzi provides a flexible and extensible parallel flow and reactive transport simulation capability for environmental applications. It includes general polyhedral mesh infrastructure, which leverages MSTK, advanced discretizations of process models, including traditional finite volume schemes, mimetic finite differences, and nonlinear finite volumes. In addition, it provides advanced nonlinear solvers, such as Nonlinear Krylov Acceleration (NKA) and Anderson Acceleration, and leverages Trilinos-ML and Hypre Algebraic Multigrid for scalable solvers. The reaction of contaminants and minerals carried by the flow through the surrounding rock and soil is modeled through a general software interface called Alquimia that allows Amanzi to interface with a variety of powerful geochemistry engines including PFLOTRAN and CrunchFlow. The code is parallel and leverages open-source parallel frameworks such as Trilinos, PETSc. Amanzi has been used to model contaminant migration at various DOE waste sites (e.g., Nevada National Security Site, and Savannah River), and is generally applicable to groundwater contaminant migration under partially saturated, nonisothermal conditions and its interaction with surface water.

The multiphysics framework in Amanzi is called Arcos, and it provides modelers with the flexibility they need to creatively decompose complex problems and explore a variety of mixed-dimensional model configurations to develop understanding and make predictions of environmental systems. In particular, Arcos provides flexibility for hierarchical weak and strong coupling of processes with subcycling of mixed dimensions. This capability in conjuction with Amanzi's powerful mesh infrastructure, which supports the splitting and subsetting of meshes, enables creative conceptual modeling. Applications in Amanzi include, coupling flow and transport on discrete-fracture-networks (DFNs) and the background matrix, while applications in the Advanced Terrestrial Simulator (ATS) include, integrated hydrology coupling surface and subsurface processes; and an intermediate scale thermal hydrology model of polygonal tundra based on one-dimensional columns coupled to the two-dimensional surface.

BUILDING/INSTALLING AND RUNNING AMANZI

See the INSTALL.md file in this directory.

COPYRIGHT AND LICENSE

The copyright and license are contained in the top-level file
COPYRIGHT.md. The copyright is held jointly by the DOE laboratories that
are contributing code to the development of Amanzi.


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GitHub Events

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Last Year

Committers metadata

Last synced: 6 days ago

Total Commits: 11,873
Total Committers: 66
Avg Commits per committer: 179.894
Development Distribution Score (DDS): 0.607

Commits in past year: 190
Committers in past year: 10
Avg Commits per committer in past year: 19.0
Development Distribution Score (DDS) in past year: 0.395

Name Email Commits
Konstantin Lipnikov l****v@l****v 4664
Ethan Coon c****t@o****v 997
Rao Garimella r****o@l****v 873
Markus Berndt b****t@l****v 799
Marc Day M****y@l****v 694
David Moulton m****n@l****v 623
Daniil Svyatskiy d****t@l****v 388
Lori A. Pritchett-Sheats l****h@l****v 386
Ben Andre b****e@l****v 372
Jeffrey Johnson j****n@l****v 284
Erin Barker e****r@p****v 247
Sergi Molins s****s@l****v 172
nvohra0016 8****6 160
AlexisPerry a****y@l****v 113
William A. Perkins w****s@p****v 103
Michael Buksas m****s@l****v 100
Glenn Hammond g****d@p****v 77
John P. Ortiz j****4@g****m 70
Julien Loiseau j****u@l****v 69
Neil Carlson n****c@l****v 61
Svetlana Tokareva s****a@g****m 54
Alec Thomas t****n@l****v 53
Ahmad Jan a****k@g****m 51
Quang Ha q****0@b****u 46
Rich Fiorella r****a@l****v 46
Daniel Reece Livingston l****n@l****v 44
George Pau g****u@l****v 44
Giacomo Capodaglio e****d@h****m 37
nvohra0016 n****a@a****v 34
Sergio Bea s****a@l****v 31
and 36 more...

Committer domains:


Issue and Pull Request metadata

Last synced: 1 day ago

Total issues: 176
Total pull requests: 118
Average time to close issues: over 1 year
Average time to close pull requests: 21 days
Total issue authors: 9
Total pull request authors: 11
Average comments per issue: 1.26
Average comments per pull request: 1.11
Merged pull request: 112
Bot issues: 0
Bot pull requests: 0

Past year issues: 8
Past year pull requests: 17
Past year average time to close issues: 4 months
Past year average time to close pull requests: about 2 months
Past year issue authors: 2
Past year pull request authors: 5
Past year average comments per issue: 1.5
Past year average comments per pull request: 2.82
Past year merged pull request: 11
Past year bot issues: 0
Past year bot pull requests: 0

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

Top Issue Authors

  • lipnikov (69)
  • jd-moulton (50)
  • ecoon (21)
  • raovgarimella (14)
  • dasvyat (8)
  • eibarker (6)
  • rfiorella (4)
  • Elchin (3)
  • smolins (1)

Top Pull Request Authors

  • AlexisPerry (72)
  • raovgarimella (12)
  • ekikinzon (9)
  • ecoon (9)
  • rfiorella (5)
  • jeff-cohere (3)
  • smolins (3)
  • fmyuan (2)
  • saubhagya-gatech (1)
  • lipnikov (1)
  • ArashPartow (1)

Top Issue Labels

  • bug (51)
  • enhancement (45)
  • question (7)
  • help wanted (6)
  • documentation (3)
  • reactive-transport-roundup (2)
  • TPLs (1)
  • Containers (1)

Top Pull Request Labels

  • TPLs (2)

Dependencies

.github/workflows/amanzi-ci.yml actions
  • actions/checkout v2 composite
  • docker/login-action v1 composite

Score: 9.277251077258809