Python - Analysis of Groundwater Time Series with Limited Pumping Information in Unconfined Aquifer: Response Function Based on Lagging Theory
| Authors: | |
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| Owners: | Ying-Fan Lin |
| Type: | Resource |
| Storage: | The size of this resource is 2.4 MB |
| Created: | Feb 15, 2024 at 5:09 a.m. |
| Last updated: | Feb 19, 2024 at 6:28 a.m. |
| Citation: | See how to cite this resource |
| Sharing Status: | Discoverable (Accessible via direct link sharing) |
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| Views: | 704 |
| Downloads: | 33 |
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| Comments: | No comments (yet) |
Abstract
This project contains the code and data necessary to perform a comprehensive analysis of groundwater levels using the Lagging Theory and a Transfer Function-Noise (TFN) model. The analysis is centered around the examination of groundwater time series data in an unconfined aquifer with limited pumping information.
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How to Cite
Lin, Y. (2024). Python - Analysis of Groundwater Time Series with Limited Pumping Information in Unconfined Aquifer: Response Function Based on Lagging Theory, HydroShare, http://www.hydroshare.org/resource/fccc511e18c4435dae0d299a205befd3
This resource is shared under the Creative Commons Attribution CC BY.
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