Skip to main content

Transient multi-layer AEM Model

Project description

ttim PyPI

TTim, A Multi-Layer, Transient, Analytic Element Model

Introduction

TTim is a computer program for the modeling of transient multi-layer flow with analytic elements. TTim 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. TTim 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 TTim 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. TTim is coded in Python and uses numba to speed up evaluation of the line elements and inverse laplace transforms.

Latest version

New in version 0.6.6:

  • Many documentation improvements: new look, better organization, tutorials, how-to guides, etc. Check it out here!

Installation

Python versions and dependencies

TTim requires Python >= 3.8 and can be installed from PyPI.

Required packages:

  • numpy
  • scipy
  • matplotlib
  • numba
  • lmfit

Installation:

To install TTim, open a command prompt or the anaconda prompt and type:

pip install ttim

To update TTim type:

pip install ttim --upgrade

To uninstall TTim type:

pip uninstall ttim

Documentation

  • The documentation is hosted on readthedocs.
  • Example Notebooks are available from the notebooks directory on github, of from here.

Citation

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

  • M. Bakker. 2013. Semi-analytic modeling of transient multi-layer flow with TTim. Hydrogeology Journal, 21: 935-943. Available here.
  • 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.

Project details


Download files

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

Source Distribution

ttim-0.8.0.tar.gz (91.7 kB view details)

Uploaded Source

Built Distribution

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

ttim-0.8.0-py3-none-any.whl (98.6 kB view details)

Uploaded Python 3

File details

Details for the file ttim-0.8.0.tar.gz.

File metadata

  • Download URL: ttim-0.8.0.tar.gz
  • Upload date:
  • Size: 91.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.2

File hashes

Hashes for ttim-0.8.0.tar.gz
Algorithm Hash digest
SHA256 76cc963034e1967c9a842d720aa704bc4f08280d5458cb39d8a0a59c779f577b
MD5 82ef5418e44354a4a30295ed4b9b5aa2
BLAKE2b-256 a7fef4b8aa3acca393f6db305fd5f67073875a01fc8d14a4e3664a828b21999d

See more details on using hashes here.

File details

Details for the file ttim-0.8.0-py3-none-any.whl.

File metadata

  • Download URL: ttim-0.8.0-py3-none-any.whl
  • Upload date:
  • Size: 98.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.2

File hashes

Hashes for ttim-0.8.0-py3-none-any.whl
Algorithm Hash digest
SHA256 ee305609e87b6bb8ffe6b48060bef6f8116da000f4dd20cab2170f5fb41d184f
MD5 abf8a92b5d4eb3709e3a9603c5b2630a
BLAKE2b-256 77ab04d8ded05ebee9f8959a21b3dd8da637f14a9e08cb33cae435863e5f8564

See more details on using hashes here.

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