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Costs and benefits of managed aquifer recharge for irrigated agriculture in Australia under deep uncertainty: Python code and data

Commonwealth Scientific and Industrial Research Organisation
Gonzalez, Dennis
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25919/kkkw-v558&rft.title=Costs and benefits of managed aquifer recharge for irrigated agriculture in Australia under deep uncertainty: Python code and data&rft.identifier=https://doi.org/10.25919/kkkw-v558&rft.publisher=Commonwealth Scientific and Industrial Research Organisation&rft.description=Code and inputs files used to conduct data analyses underpinning a manuscript entitled 'Analysis of costs and benefits of managed aquifer recharge for irrigated agriculture under deep uncertainty'.Lineage: Produced as part of a PhD research project. This study applies a site-specific modelling approach that uses observed aquifer parameters and tailored scheme components to reflect local conditions and end uses for two conceptual sites in the Northern Territory and New South Wales, Australia. Monetary benefits are assessed using agricultural gross margins and economic performance is evaluated using Net Present Value (NPV) and Benefit-Cost Ratio (BCR) under deep uncertainty. By incorporating stochastic, time-varying cash flows and global sensitivity analysis, the framework provides an assessment approach for MAR projects using satisficing robustness measures and regret-based indicators for informing decision-making under deep uncertainty. Full methods are detailed in the manuscript.&rft.creator=Gonzalez, Dennis &rft.date=2026&rft.edition=v1&rft.coverage=westlimit=130.7378; southlimit=-34.5321; eastlimit=146.82229999999998; northlimit=-15.5881; projection=WGS84&rft_rights=Creative Commons Attribution 4.0 International Licence https://creativecommons.org/licenses/by/4.0/&rft_rights=Data is accessible online and may be reused in accordance with licence conditions&rft_rights=All Rights (including copyright) CSIRO 2026.&rft_subject=MAR&rft_subject=economics&rft_subject=decision making&rft_subject=global sensitivity analysis&rft_subject=satisficing&rft_subject=robustness&rft_subject=Groundwater hydrology&rft_subject=Hydrology&rft_subject=EARTH SCIENCES&rft_subject=Environment and resource economics&rft_subject=Applied economics&rft_subject=ECONOMICS&rft.type=dataset&rft.language=English Access the data
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Code and inputs files used to conduct data analyses underpinning a manuscript entitled 'Analysis of costs and benefits of managed aquifer recharge for irrigated agriculture under deep uncertainty'.
Lineage: Produced as part of a PhD research project. This study applies a site-specific modelling approach that uses observed aquifer parameters and tailored scheme components to reflect local conditions and end uses for two conceptual sites in the Northern Territory and New South Wales, Australia. Monetary benefits are assessed using agricultural gross margins and economic performance is evaluated using Net Present Value (NPV) and Benefit-Cost Ratio (BCR) under deep uncertainty. By incorporating stochastic, time-varying cash flows and global sensitivity analysis, the framework provides an assessment approach for MAR projects using satisficing robustness measures and regret-based indicators for informing decision-making under deep uncertainty. Full methods are detailed in the manuscript.

Available: 2026-02-05

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146.8223,-15.5881 146.8223,-34.5321 130.7378,-34.5321 130.7378,-15.5881 146.8223,-15.5881

138.78005,-25.0601

Subjects
Applied Economics | Earth Sciences | Economics | Environment and Resource Economics | Groundwater Hydrology | Hydrology | MAR | decision making | economics | global sensitivity analysis | robustness | satisficing |

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Identifiers
ACN 633 798 857