Fit for purpose? Rapid development of water allocation models using global data: Application for the Upper Niger Basin. (November 2021)

• Record Type: Journal Article
• Authors: Meijer, Karen; Verschelling, Eelco; van Verseveld, Willem; Donchyts, Gennadii; Schmeier, Susanne; Kwadijk, Jaap
• Is Part Of: Environmental modelling & software. Volume 145(2021)
• Publication Date: 2021-11
• Subjects: Global online datasets -- Water resources -- Water-related conflict and humanitarian risks -- Rapid model development -- Inner Niger Delta -- Upper Niger; Environmental monitoring -- Computer programs -- Periodicals; Ecology -- Computer simulation -- Periodicals; Digital computer simulation -- Periodicals; Computer software -- Periodicals; Environmental Monitoring -- Periodicals; Computer Simulation -- Periodicals; Environnement -- Surveillance -- Logiciels -- Périodiques; Écologie -- Simulation, Méthodes de -- Périodiques; Simulation par ordinateur -- Périodiques; Logiciels -- Périodiques; Computer software; Digital computer simulation; Ecology -- Computer simulation; Environmental monitoring -- Computer programs; Periodicals; Electronic journals; 363.70015118
• DOI: 10.1016/j.envsoft.2021.105168
• Languages: English
• ISSNs: 1364-8152

Abstract

Abstract: When decision-making in the case of imminent water-related humanitarian disasters or violent conflict depends on a quick assessment of water-related risks, there may not be enough time to collect high-quality local data. Online available global data may offer an alternative data source. We present a method to construct a water resources model based on global datasets. We apply it to the Upper Niger Basin in West Africa and test its credibility with hydrological performance metrics and 'fit for purpose' indicators. The 'fit for purpose' indicators are tailored to questions the model should support answering and allow assessment of whether a better-performing model would result in a different basis for decision-making. We find that the model scores 'satisfactory' on both types of indicators. Thus, models based on global open datasets may be suitable for rapid, preliminary assessments where time is of the essence or high-quality local data is unavailable. Graphical abstract: Image 1 Highlights: We present an approach to develop a water resources model using global online data. Global data enable modelling when high-quality local data are not easily available. Global data offer a level playing field in potential conflict situations. Performance metrics and 'fit for purpose' indicators were used to assess the model. The model is evaluated as of satisfactory quality for rapid assessments.