Robust discrimination between uncertain management alternatives by iterative reflection on crossover point scenarios: Principles, design and implementations

Joseph H.A. Guillaume*, Muhammad Arshad, Anthony J. Jakeman, Mika Jalava, Matti Kummu

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    14 Citations (Scopus)

    Abstract

    When comparing environmental management alternatives, there is a need to assess the effect of uncertainty in the underlying model(s) and future conditions on robustness of recommendations. At times, it may be difficult or undesirable to specify the uncertainty in inputs and parameters a priori. An alternative approach instead generates crossover points, describing scenarios where the preferred alternative will change (i.e. alternatives are of equal value), and prompts the analyst to assess their plausibility a posteriori. This paper extends previous work by introducing principles, design and implementation of a new method to analyse crossover points. It reduces the complexity of dealing with many variables by identifying single crossover points of greatest concern, and progressively building understanding through three stages of analysis. We present three implementations using R, Excel and a web interface. They use two examples involving cost-benefit analysis of managed aquifer recharge and the water footprint impact of changing diets.

    Original languageEnglish
    Pages (from-to)326-343
    Number of pages18
    JournalEnvironmental Modelling and Software
    Volume83
    DOIs
    Publication statusPublished - 1 Sept 2016

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