This report systematically assesses the effect of varying logjam spacing, extent of logjam-generated change in water surface profile, vertical height of lower gap, overflow to local floodplain, and varying channel slope, representing a series of logjams in a sparse input data 1D network model including the jam-generated backwater, which depends on loss of momentum within the jam.

This article has taken a distributed modelling approach to examine the potential for hillslope storage bunds as a natural flood management (NFM) strategy to mitigate the effects of downstream flooding if deployed extensively in the 209 km² River Kent catchment in Cumbria (UK).

This research explores findings from the Q-natural flood management project in Cumbria. Co-developed with the Environment Agency, the project involved monitoring 18 micro-catchments to study the affect of nature-based solutions on the flow of water. This paper demonstrates an approach to applying donor-parameter-shifts obtained from modelling two of the paired micro-catchments to a much larger scale, in order to understand the potential for improved distributed modelling of nature-based solutions in the form of additional tree-planting.

This paper reports on new hydrometric data collected from one of eighteen small-scale, accurately monitored micro-catchments in Cumbria, UK, to study the effect in more detail.

This paper examines the potential of a data-driven approach to support decision-making in flood risk management, with the goal of investigating a suitable software architecture and associated set of techniques to support a more data-centric approach.