Scenario analysis of local storylines to represent uncertainty in complex human-water systems
Alizadeh, Mohammad Reza, Adamowski, Jan and Inam, Azhar, (2024). Scenario analysis of local storylines to represent uncertainty in complex human-water systems. Journal of Hydrology, 635 131186-n/a
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Article
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Sub-type Journal article Author Alizadeh, Mohammad Reza
Adamowski, Jan
Inam, AzharTitle Scenario analysis of local storylines to represent uncertainty in complex human-water systems Appearing in Journal of Hydrology Volume 635 Publication Date 2024-01-05 Place of Publication Amesterdam Publisher Elsevier B.V. Start page 131186 End page n/a Language eng Abstract Storylines are important in evaluating the uncertainty inherent in complex human-water systems. The interrelated nature of qualitative and quantitative scenarios can enhance our ability to address the uncertainty of integrated modelling of complex systems. This study proposes a transdisciplinary approach that integrates social and environmental sciences to characterize and comprehend uncertainty in the dynamic interactions of key factors affecting a human-water system. We introduce a framework for representing uncertainty through linguistic and epistemic uncertainty quantification using storyline narratives in the context of a regional integrated dynamic model. A systematic exploration of uncertainty space is performed using storytelling, fuzzy sets, and low discrepancy sequences sampling methods. Scenario analysis is applied to the generated uncertain ensemble of projections to discover predominant storylines of interest. As a representative case of a human-water system operating in a developing country, we Copyright Holder Elsevier B. V. Copyright Year 2024 Copyright type All rights reserved ISSN 0043-1397 DOI 10.1016/j.jhydrol.2024.131186 -
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