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.
1 maintainer
Metadata
1 maintainer
Release files for ttim 0.8.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ttim-0.8.0.tar.gz | 91.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ttim-0.8.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 190.2 kB
Release files / ttim-0.8.0.tar.gz
| Download URL | ttim-0.8.0.tar.gz |
|---|---|
| Size | 91.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
76cc963034e1967c9a842d720aa704bc4f08280d5458cb39d8a0a59c779f577b
|
|
BLAKE2b-256 checksum How to use checksums |
a7fef4b8aa3acca393f6db305fd5f67073875a01fc8d14a4e3664a828b21999d
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.14.2
|
Release files / ttim-0.8.0-py3-none-any.whl
| Download URL | ttim-0.8.0-py3-none-any.whl |
|---|---|
| Size | 98.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
ee305609e87b6bb8ffe6b48060bef6f8116da000f4dd20cab2170f5fb41d184f
|
|
BLAKE2b-256 checksum How to use checksums |
77ab04d8ded05ebee9f8959a21b3dd8da637f14a9e08cb33cae435863e5f8564
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.14.2
|
