Skip to main content

PyPI - Version General Steady Transient Documentation Status Ruff

timflow, a multi-layer analytic element model

timflow is a Python package for the modeling of multi-layer groundwater flow with analytic elements. The package is split into two main submodules: timflow.steady for steady-state flow and timflow.transient for modeling transient flow. Both modules may be applied to an arbitrary number of aquifers and leaky layers. The head, flow, and leakage between aquifers may be computed semi-analytically at any point in space and time.

The design of timflow is object-oriented and has been kept simple and flexible. New analytic elements may be added to the code without making any changes in the existing part of the code. timflow is coded in Python and uses numba to speed up evaluation of the line elements and inverse Laplace transforms. The transient submodule is based on the Laplace-transform analytic element method. The solution is computed analytically in the Laplace domain and converted back to the time domain numerically usig the algorithm of De Hoog, Stokes, and Knight.

Installation

timflow requires Python >= 3.11 and can be installed from PyPI:

pip install timflow

To install all optional dependencies (for running tests and building docs):

pip install timflow[dev]

Documentation

The documentation is hosted on readthedocs.

History

timflow combines the old packages TimML and TTim. Git history is maintained within this new package, but the old repositories are still available for searching through old issues, pull requests, and other information.

Citation

Some of the papers that you may want to cite when using timflow are:

  • Steady-state flow:
  • Transient flow:
    • M. Bakker. 2013. Semi-analytic modeling of transient multi-layer flow with TTim. Hydrogeology Journal, 21: 935-943. https://doi.org/10.1007/s10040-013-0975-2
    • M .Bakker. 2013. Analytic modeling of transient multi-layer flow. In: Advances in Hydrogeology, edited by P Mishra and K Kuhlman, Springer, Heidelberg, 95-114. Available here.

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

timflow-0.4.0.tar.gz (2.8 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

timflow-0.4.0-py3-none-any.whl (2.9 MB view details)

Uploaded Python 3

File details

Details for the file timflow-0.4.0.tar.gz.

File metadata

  • Download URL: timflow-0.4.0.tar.gz
  • Upload date:
  • Size: 2.8 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for timflow-0.4.0.tar.gz
Algorithm Hash digest
SHA256 55f5370c557f2faad3821ab59fe84a5d40a2341df60a1b3d657da5b952245687
MD5 832942d84c37e9dd28c7be60a85af251
BLAKE2b-256 2e89265695fdd2aa8a30318c3055a7958b441e18eb3ee7e44489ad1eabc9598f

See more details on using hashes here.

Provenance

The following attestation bundles were made for timflow-0.4.0.tar.gz:

Publisher: pypi-publish.yml on timflow-org/timflow

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file timflow-0.4.0-py3-none-any.whl.

File metadata

  • Download URL: timflow-0.4.0-py3-none-any.whl
  • Upload date:
  • Size: 2.9 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for timflow-0.4.0-py3-none-any.whl
Algorithm Hash digest
SHA256 62e308739ee2814a282aead074a8a0d5aab60720a4931d65412504d5f0401a96
MD5 971aa1c59aa8b75eb02af160e732e360
BLAKE2b-256 ae91b324c1cb539fc463158f4017be457cc6cc4b3bc22cfc811a0e204ec003bf

See more details on using hashes here.

Provenance

The following attestation bundles were made for timflow-0.4.0-py3-none-any.whl:

Publisher: pypi-publish.yml on timflow-org/timflow

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page