Software

Python code to estimate costs of managed aquifer recharge under uncertainty

Commonwealth Scientific and Industrial Research Organisation

Gonzalez, Dennis ; Guillaume, Joseph ; Peeters, Luk ; Wyrwoll, Paul ; Vanderzalm, Joanne ; Page, Declan

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BSD 3-Clause Licence
https://research.csiro.au/dap/licences/bsd-3-clause-licence/

Data is accessible online and may be reused in accordance with licence conditions

All Rights (including copyright) CSIRO 2024.

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Code and inputs files used to conduct data analyses underpinning a manuscript entitled 'Estimating the costs of managed aquifer recharge under uncertainty with examples for town water supply in regional Australia'.
Lineage: Produced as part of a PhD research project. The Python 3 code uses water balance and net present value functions to estimate time varying, volume dependent capital and operating costs and levelised cost distributions for a range of well injection and infiltration basin schemes at different scales and operating conditions. Input files contain variable ranges used for sampling distributions and enable global sensitivity analyses. A complete description of methods is given in the manuscript 'Estimating the costs of managed aquifer recharge under uncertainty with examples for town water supply in regional Australia' submitted to the journal of Sustainable Water Resources Management (Springer).

Available: 2024-02-13

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Subjects

Applied Economics | Earth Sciences | Economics | Econometrics | Economic Models and Forecasting | Environment and Resource Economics | Groundwater | Groundwater Hydrology | Hydrology | Murray-Darling Basin | drought resilience | global sensitivity analysis | hydro-economic models | levelised cost | water banking | water security |

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Identifiers

DOI : 10.25919/PGA1-1W43
Handle : 102.100.100/608560
URL : data.csiro.au/collection/csiro:61725