Abstract

An improved understanding of changes in flood hazard and the underlying driving mechanisms is critical for predicting future changes for better adaptation strategies. While recent increases in flooding across the world have been partly attributed to a range of atmospheric or landscape drivers, one often-forgotten driver of changes in flood properties is the variability of river conveyance capacity. This paper proposes a new framework for connecting flood changes to longitudinal variability in river conveyance, precipitation climatology, flows and sediment connectivity. We present a first step, based on a regional analysis, towards a longer-term research effort that is required to decipher the circular causality between floods and rivers. The results show how this system of interacting units in the atmospheric, hydrologic and geomorphological realm function as a nonlinear filter that fundamentally alters the frequency of flood events. To revise and refine our estimation of future flood risk, this work highlights that multidriver attribution studies are needed, that include boundary conditions such as underlying climate, water and sediment connectivity, and explicit estimations of river conveyance properties.

Highlights

  • An improved understanding of changes in flood hazard and the underlying driving mechanisms is critical for predicting future changes for better adaptation strategies

  • Flood studies typically separate slowly varying boundary conditions of the Earth System from the fast varying hydrological processes. We suggest this approach may no longer be appropriate for estimating future flood risk in a changing world - i.e. for critical infrastructure with a horizon typically within 10–30 yrs

  • Hydraulic Scaling Function(s) (HSF), as power-law functions representing the longitudinal variability of river bankfull geometry

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Summary

The Landscape Framework

The investigated landscape framework includes the variables and acronyms summarised in Table 1, and it considers:. Hydraulic Scaling Function(s) (HSF), as power-law functions representing the longitudinal variability of river bankfull geometry. HSFs provide information on the overall river morphology and storage capacity[40]. They offer a quantitative description of how channel width and related properties (depth, velocity) vary with changing discharge along the river course (‘downstream’ hydraulic geometry) and between rivers at a comparable discharge frequency. We focus on the coefficients of the power-law that relates bankfull-channel dimensions (width wbkf) to drainage area (ALidar) (Chapt 7.1, and 1.2 in supplementary material). River flows and characteristic properties of the daily flow distribution[43,44], and the decadal trend of exceedance of specific flow quantiles[38] We will generally refer to ‘climate’ speaking about this specific element

HSF α β
The return period of the bankfull discharge
Length of the most extended reach in the network
Percentage of the watershed area with low connectivity
Mean IC value
The Interdependence of Variables
The Way Forward
Material and Methods
Findings
Additional information

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