Scenario analysis of local storylines to represent uncertainty in complex human-water systems

Reza Alizadeh, Mohammad, Adamowski, Jan and Inam, Azhar, (2024). Scenario analysis of local storylines to represent uncertainty in complex human-water systems. Journal of Hydrology, 635 N/A-N/A

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  • Sub-type Journal article
    Author Reza Alizadeh, Mohammad
    Adamowski, Jan
    Inam, Azhar
    Title 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 N/A
    Publisher Elsevier B.V.
    Start page N/A
    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 examine the uncertainty effects of a variety of drivers of climatic and socio-economic changes on key agriculture and water-related sectors in Pakistan’s Rechna Doab region. The findings revealed soil salinity and crop yield indices were the most uncertain and showed significant variance across all developed storylines. The 95th percentile for soil salinity in year 2100 was estimated to be nearly 60 % higher than the baseline level (year 2020). There was, however, considerable overlap in different socio-economic scenarios at the local scale, indicating that change in socio-economic conditions could not fully offset climate-related uncertainty. Our analysis provides better quantification and a deeper understanding of the uncertainty in integrated assessment modelling of coupled human-water systems and the complex relationships between inputs and outcomes.
    Copyright Holder Elsevier B. V.
    Copyright Year 2024
    Copyright type All rights reserved
    DOI 10.1016/j.jhydrol.2024.131186
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    Created: Thu, 26 Sep 2024, 03:21:57 JST by Haideh Beigi on behalf of UNU INWEH