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

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.