Stehfest Inversion Model for Constant-Head Semi-Analytical Solutions (Based on Python)

This repository contains two Python codes implementing the inversion of dimensionless drawdown and dimensionless discharge for constant-head tests (CHT) in confined double-porosity aquifers. The scripts perform Laplace-domain evaluation of the analytical semi-solution and apply the Stehfest numerical inversion to transform the results into the time domain. The codes are fully modular and can be adapted to analyze other pumping or dewatering configurations governed by Laplace-domain formulations.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-09
DOI
https://doi.org/10.5281/zenodo.17306983
Primary Topic
Groundwater flow and contamination studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Stehfest Inversion Model for Constant-Head Semi-Analytical Solutions (Based on Python)

Zenodo (CERN European Organization for Nuclear Research)
Groundwater flow and contamination studies
article

Stehfest Inversion Model for Constant-Head Semi-Analytical Solutions (Based on Python)

article en

Abstract

This repository contains two Python codes implementing the inversion of dimensionless drawdown and dimensionless discharge for constant-head tests (CHT) in confined double-porosity aquifers. The scripts perform Laplace-domain evaluation of the analytical semi-solution and apply the Stehfest numerical inversion to transform the results into the time domain. The codes are fully modular and can be adapted to analyze other pumping or dewatering configurations governed by Laplace-domain formulations.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 51%
Groundwater flow and contamination studies
DOIOpen Access PDFOpenAlex
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Stehfest Inversion Model for Constant-Head Semi-Analytical Solutions (Based on Python) · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS