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How can hydrological connectivity inform catchment scale stormwater flood management?
Yuxuan Yao1, Guangtao Fu1, James Webber1
1Centre for Water Systems, University of Exeter, Exeter, EX4 4QF, United Kingdom.
This study introduces the Index of Hydrological Connectivity (IHC) to improve urban flood prediction. It reveals how connectivity, not just local factors, drives flood patterns, enabling better catchment-scale flood mitigation strategies.
Area of Science:
- Environmental Hydrology
- Urban Water Management
- Geospatial Analysis
Background:
- Current stormwater management focuses on local solutions, often failing to achieve catchment-scale flood mitigation.
- The role of hydrological connectivity (HC) in organizing urban flood inundation patterns is underutilized in current planning paradigms.
- Operationalizing HC as a spatial diagnostic tool is crucial for understanding and managing urban flooding.
Purpose of the Study:
- To apply the Index of Hydrological Connectivity (IHC) for diagnosing connectivity controls on urban flooding at the catchment scale.
- To evaluate the explanatory power of multi-scale IHC features using machine learning for strategic flood planning.
- To identify key connectivity features that govern flood initiation, concentration, and propagation.
Main Methods:
- Generated flood inundation patterns using a validated 2D hydrodynamic model for various design storms (10-, 30-, 100-year).
- Employed an interpretable machine-learning method (XGBoost) to assess the relationship between IHC features and simulated flood scenarios.
- Investigated the impact of spatial aggregation of IHC features on flood pattern representation at different scales.
Main Results:
- Spatial aggregation of IHC features significantly improved the representation of flood patterns, with optimal performance at a 240m neighborhood scale.
- Identified a depth-dependent regime shift: shallow flooding is storage-limited, while hazardous depths are conveyance-limited.
- Hazardous flood depths are driven by slope-energized inflow interacting with corridor continuity and bottlenecks, with nonlinear and interaction-rich dependencies.
Conclusions:
- The Index of Hydrological Connectivity (IHC) provides a diagnostic framework for delineating flood conveyance corridors, bottlenecks, and inflow feeders.
- IHC helps prioritize interventions by identifying areas where hazardous inundation initiates, concentrates, and propagates.
- Integrating IHC enables site-scale stormwater measures to function coherently within a catchment-scale flood mitigation system.
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