| Summary: | Urban pluvial flooding (UPF), a growing challenge across cities worldwide that is expected to worsen
due to climate change and urbanisation, requires comprehensive response strategies. However, the
characterisation and simulation of UPF is more complex than traditional catchment hydrological modelling because
UPF is driven by a complex set of interconnected factors and modelling constraints. Different integrated approaches
have attempted to address UPF by coupling humans and environmental systems and reflecting on the possible
outcomes from the interactions among varied disciplines. Nonetheless, it is argued that current integrated
approaches are insufficient. To further improve the characterisation and modelling of UPF, this study advances a
citizen science approach that integrates local knowledge with the understanding and interpretation of UPF. The
proposed framework provides an avenue to couple quantitative and qualitative community-based observations
with traditional sources of hydro-information. This approach allows researchers and practitioners to fill spatial and
temporal data gaps in urban catchments and hydrologic/hydrodynamic models, thus yielding a more accurate
characterisation of local catchment response and improving rainfall-runoff modelling of UPF. The results of applying
this framework indicate how community-based practices provide a bi-directional learning context between experts
and residents, which can contribute to resilience building by providing UPF knowledge necessary for risk reduction
and response to extreme flooding events.
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