A Review of Decision Making Under Deep Uncertainty Applications Using Green Infrastructure for Flood Management

Summary

This narrative review examines the limited body of published research applying decision-making under deep uncertainty (DMDU) frameworks to green infrastructure flood management in response to climate change. The authors identify trends across case studies on five continents, categorising studies by performance metrics, climate scenarios, modelling approaches, and data sources. The review concludes that transparent documentation of open-source models, methods, and data, alongside improved stakeholder communication, are essential to advance robust adaptive strategies such as green infrastructure for urban climate resilience.

Regional applicability

This is a global review synthesising international case studies, not specific to United Kingdom conditions. However, the methodological insights and recommendations on integrating DMDU frameworks with green infrastructure design are directly transferable to United Kingdom urban flood management and climate adaptation planning, particularly given the UK's exposure to increasing precipitation extremes and urban flooding risk.

Key measures

Publication trends in DMDU-green infrastructure intersection; performance metrics used; climate scenarios modelled; DMDU methodologies applied; hydrologic modelling techniques; adaptation strategies by geography and case study characteristics

Outcomes reported

A systematic review of publications applying decision-making under deep uncertainty (DMDU) frameworks to green infrastructure flood management strategies. The review categorises studies by performance metrics, climate scenarios, DMDU approaches, and hydrologic modelling techniques across five continents.

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