Research

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.

Using resampling approaches adapted to the Flood Estimation Handbook methods, this paper quantifies the sampling uncertainty for single site, pooled (ungauged), enhanced single site (gauged pooling) and across catchment types.

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.

JBA led this rapid evidence review, funded by the Environment Agency, to support the National Flood and Coastal Erosion Risk Management Strategy for England (2020) for England.

This research evaluates the benefits of maintaining flood defences over a 30-year period for several different spending scenarios. This study explored the relationship between inland flood defence maintenance and flood defence failure due to breaching (caused by structural failure). It also estimated the total benefit derived from river flood wall and embankment defences and the associated upkeep costs of these defences.

Data heterogeneity is a pressing issue for the flood domain. This paper seeks to addresses the issue of data variety by exploring an approach that uses Semantic Web and Natural Language Processing techniques to resolve the heterogeneity arising in data formats, bring together structured and unstructured data and provide a unified data model to query from disparate data sets.