UoH Present & Future Climate Hazard/Embedded Researcher Scheme

Lead Research Organisation: University of Hull
Department Name: Geography

Abstract

Twenty million people living near UK estuaries are at risk from compound flooding hazards. Recent near-miss flooding in UK catchments and estuaries (Dec-2013, Jan-2017) could have been much worse with subtle changes in surge-precipitation timings, although still caused extensive damage costing £500M. Estuary communities are especially vulnerable to future changes in flood risk; via sea-level rise combined with increases in storm surge heights - and changing precipitation and temperature patterns that will have profound impacts on fluvial behaviour. The SEARCH project will address this important issue directly by developing a new method to evaluate climate flooding hazards in UK estuaries. For the first time this method will be fit-for-purpose for compound flooding events across different spatial and temporal scales, and for different catchment and estuary types. This method will accurately resolve all hydrological and marine processes and their joint-probabilities. It will evaluate how climate predictions from UKCP18 downscale to flooding impact; hence, providing unique and crucial inundation and likelihood data for the EA, NRW and SEPA to identify the most vulnerable communities to compound flooding and to manage their resources effectively during incidence response. Importantly, we will show how compound flooding occurs and how sensitive different systems are to the different drivers of climate change.

Global sea levels are expected to rise up to 1 m this century and for some regions like the UK, precipitation and temperature distributions are likely to change, with extreme events such as storms, heatwaves and droughts becoming more intense and seasonal with altered timings. Changes in the intensity of flood drivers are expected to affect the hazard and risk. However, we hypothesise that changes in their timings relative to one another will also be vital for flood risk. For example, the timings of fluvial events will likely change due to changes in precipitation and temperature affecting soil moisture and groundwater flow. As a proof of concept in the NERC project CHEST, the investigators established the sensitivity of estuaries to tide-surge-fluvial events acting in combination, isolating distinct zones within estuaries of increased risk depending on catchment size relative to the estuary, estuary shape and the timing of surge and fluvial events relative to each other. Changes in flood risk due to climate change will therefore be site specific, with the relative roles of hazard drivers varying spatially. Long-term changes in extreme events are often unforeseeable because our understanding of the integrated system is incomplete. Considering the high socio-economic and environmental value of estuaries, the complexity of compound hazards, the projected changes in drivers, and unregulated landuse management, it is timely to develop new strategies for mitigating against compound flooding and to develop improved risk assessment tools for flood protection.

Working with the UK regulators of flooding, SEARCH will use past and new observations with UKCP18 projections of precipitation, temperature, fluvial flows, storm surge and sea level applied to a fast, tested and open-source hydrodynamic-groundwater model to simulate flooding hazards. We will simulate 14 systems that cover the range of locations and estuaries within the UK. Our results are urgently needed, as probabilistic methods of determining flood risk are obsolete because they do not capture the non-linear dynamics and do not include future changes. This two year project brings together world-leading researchers in catchment-to-coast environmental science (with PDRAs at Bangor and Hull Universities) to tackle this computationally challenging and under-investigated issue. This team have worked together successfully, with the involvement and support of key policy and industrial partners, establishing a new paradigm in flood risk and accumulating a vast amount of data.
 
Title Tracing and visualisation of contributing water sources in a model of flood inundation: video supplement 
Description These are video supplement files to Wilson & Coulthard (2021), produced using version 1.8f-WS of CAESAR-Lisflood software, available on Zenodo here. For a full description of the methodology and case studies, please refer to the paper which is available here: https://doi.org/10.5194/gmd-2021-340. Video animations (no audio) for the following case studies are included: 1. Carlisle, United Kingdom (carlisleanimation-sourcetracing.avi and carlisleanimation-depthonly.avi): Simulation of the January 2005 flood event at the confluence of the Rivers Caldew, Petteril and Eden, using a 5 m grid. Both water source tracing and depth only versions are provided. In the water tracing version, blue colours represent flows from the River Eden, reds are from the River Petteril and greens are from the River Caldew; darker shades represent deeper water. Available on YouTube here: https://youtu.be/xOtOi06cXvA In the depth only version, darker shades of blue represent deeper water, with no information about the water source in a grid cell. Available on YouTube here: https://youtu.be/aFz-sPRGHVE 2. Avon-Heathcote estuary in Christchurch, New Zealand (avonheathcoteanimation.avi): Simulation for July 2017, which included a high flow event on 22 July, using a model grid of 10 m. Blue colours represent flows from tide, reds are from the River Avon and greens are from the Heathcote River; darker shades represent deeper water. Available on YouTube here: https://youtu.be/Fczr5tczzXU 3. Amazon (amazonanimation.avi): Simulation at the confluence of the Solimões (mainstem Amazon) and Purus rivers in the central Amazon, Brazil, for the period of 1 October 2013 through December 2014, using a ~270 m model grid. Red colours are from the Solimões, green colours are from the Purus; darker shades represent deeper water. Available on YouTube here: https://youtu.be/PknAL_8fd1I 4. Planar slope (planaranimation.avi): A simple test case consisting of a 2000 x 1000 m planar slope (0.001 m/m), with walls added at 250 m intervals across the slope, each of which has several gaps through which water can flow. Model grid was 5 m. Eight water sources were traced in total, with three visualised in the animation: red = source 2, green = source 4, blue = source 6. Depths are shown in the middle plot. Available on YouTube here: https://youtu.be/DTw8ysJtx8o Please feel free to use these animations, under the terms of the CC-BY-4.0 license. Please provide a link back to this site and a citation to Wilson & Coulthard (2021). Reference: Wilson, M. D. and Coulthard, T. J.: Tracing and visualisation of contributing water sources in the LISFLOOD-FP model of flood inundation, Geosci. Model Dev. Discuss. [preprint], https://doi.org/10.5194/gmd-2021-340, in review, 2021 
Type Of Art Film/Video/Animation 
Year Produced 2021 
URL https://zenodo.org/record/5548534
 
Description Compound estuarine flooding is driven by extreme sea-levels and river discharge occurring concurrently, or in close succession, and threatens low-lying coastal regions worldwide. We hypothesise that these drivers of flooding rarely occur independently and co-operate at sub-daily timescales. This research aimed to identify regions and individual estuaries within Britain susceptible to storm-driven compound events, using 27 tide gauges linked to 126 river gauges covering a 30-year record. Five methods were evaluated, based on daily mean, daily maximum, and instantaneous 15-min discharge data to identify extremes in the river records, with corresponding skew surges identified within a 'storm window' based on average hydrograph duration. The durations, relative timings, and overlap of these extreme events were also calculated. Dependence between extreme skew surge and river discharge in Britain displayed a clear east-west split, with gauges on the west coast showing stronger correlations up to 0.33. Interpreting dependence based on correlation alone can be misleading and should be considered alongside number of historic extreme events. The analyses identified 46 gauges, notably the Rivers Lune and Orchy, where there has been the greatest chance and most occurrences of river-sea extremes coinciding, and where these events readily overlapped one another. Our results were sensitive to the analysis method used. Most notably, daily mean discharge underestimated peaks in the record and did not accurately capture likelihood of compound events in 68% of estuaries. This has implications for future flood risk in Britain, whereby studies should capture sub-daily timescale and concurrent sea-fluvial climatology to support long-term flood management plans.
Exploitation Route Used by others for hydrodynamic modelling
Sectors Agriculture

Food and Drink

Construction

Environment

Transport

 
Title CAESAR-Lisflood v1.8f-WS (water source tracing and visualisation) 
Description Update 9 May 2023: The Wilson & Coulthard paper in GMD is now published and available here: https://doi.org/10.5194/gmd-16-2415-2023. Updated code is also available in version 1.9j-WS, available on Zenodo here: https://doi.org/10.5281/zenodo.7589023 This is the code for the CAESAR-Lisflood model with a proposed method for water source tracing added (software version 1.8f-WS). The code is based on version 1.8f of the CAESAR-Lisflood model which is available here. This additional methodology will be included in a future version of the main software branch. The methodology, example applications, and computational benchmarking are described in the accompanying paper by Wilson & Coulthard [https://doi.org/10.5194/gmd-2021-340]. The methodology developed allows additional insights into flood dynamics to be gained by accounting for flow pathways and is independent of the hydraulic formulation used. The software provided here includes the easy to use GUI of the main CAESAR-Lisflood software, with additional functionality added to enable water source tracing and for visualisation. Along with the code, two example applications are provided: the planar test case and a 15 m version of the Carlisle model. Additional examples are available in these videos (applications as described by Wilson & Coulthard), each produced with output from this software: Carlisle flood model, UK (5 m version). Avon-Heathcote shallow estuary model, New Zealand. Amazon-Purus confluence, Brazil. Planar test case. For details of each of these, please see the Wilson & Coulthard paper [https://doi.org/10.5194/gmd-2021-340]. Video files are also available. For details of in general use of the CAESAR-Lisflood software, please see the main software website here. The additional GUI components for water source tracing are as follows: Enable water source tracing in the Hydrology tab, with the checkbox under the reach input variables. Note that each source file specified will be counted as one source, even if it is used in multiple grid cells. If you are using rainfall as an input, you can also provide a rainfall zonation map to split the tracing of rainfall depending on where it falls (e.g. in different catchments). Under Save Options, optionally place a check next to the water tracers and rain zone tracers outputs. Set up the rest of the model in the same way as any other simulation, then load data and press Start. To visualise the water sources during a simulation: an extra water tracer visualisation control box is added to the GUI. To view the fraction of depth from each source, assign numbers to each of the red (R), green (G) and blue (B) colour options. Note that sources 1 and 2 are reserved for downstream stage and rainfall, so the fluvial sources begins at 3 and increases in the order specified in the reach input variables. The enhance slider control changes the value of beta used for emphasising lower water source fractions (see equations 11 and 12 in Wilson & Coulthard). The point info window checkbox opens an extra dialog which allows a user to click on the map and obtain information about depth, flow velocity etc. The fraction of each water source in the cell is included in this dialog - not that the total water source tracer should sum to 1.0: very small deviations from this are possible due to numerical errors. Getting started: run the software and open (using Config File > Open) either the Carlisle 15 m case study (carlisle15m load file.xml) or one of the planar test files (e.g. model_trace_8.xml for 8 tracers). These are all set up and you should be able to click load data then Start. Reference: Wilson, M. D. and Coulthard, T. J.: Tracing and visualisation of contributing water sources in the LISFLOOD-FP model of flood inundation, Geosci. Model Dev. Discuss. [preprint], https://doi.org/10.5194/gmd-2021-340, in review, 2021 
Type Of Technology Software 
Year Produced 2021 
Open Source License? Yes  
URL https://zenodo.org/record/5541122
 
Title CAESAR-Lisflood v1.9j-WS (water source tracing and visualisation) 
Description This is the code for the CAESAR-Lisflood model with a proposed method for water source tracing added (software version 1.9j-WS). The code is based on version 1.9j of the CAESAR-Lisflood model which is available here. This additional methodology will be included in a future version of the main software branch. The methodology, example applications, and computational benchmarking are described in the accompanying paper by Wilson & Coulthard [https://doi.org/10.5194/gmd-2021-340]. The methodology developed allows additional insights into flood dynamics to be gained by accounting for flow pathways and is independent of the hydraulic formulation used. The software provided here includes the easy to use GUI of the main CAESAR-Lisflood software, with additional functionality added to enable water source tracing and for visualisation. Along with the code, an example application is provided of 15 m version of the Carlisle model. This is in the folder Carlisle Example Getting started: run the software and open (using Config File > Open) either the Carlisle 15 m case study (carlisle15m load file.xml). These are all set up and you should be able to click load data then Start. The additional GUI components for water source tracing are as follows: Enable water source tracing in the Hydrology tab, with the checkbox under the reach input variables. Note that each source file specified will be counted as one source, even if it is used in multiple grid cells. If you are using rainfall as an input, you can also provide a rainfall zonation map to split the tracing of rainfall depending on where it falls (e.g. in different catchments). Under Save Options, optionally place a check next to the water tracers and rain zone tracers outputs. Set up the rest of the model in the same way as any other simulation, then load data and press Start. To visualise the water sources during a simulation: an extra water tracer visualisation control box is added to the GUI. To view the fraction of depth from each source, assign numbers to each of the red (R), green (G) and blue (B) colour options. Note that sources 1 and 2 are reserved for downstream stage and rainfall, so the fluvial sources begins at 3 and increases in the order specified in the reach input variables. The enhance slider control changes the value of beta used for emphasising lower water source fractions (see equations 11 and 12 in Wilson & Coulthard). The point info window checkbox opens an extra dialog which allows a user to click on the map and obtain information about depth, flow velocity etc. The fraction of each water source in the cell is included in this dialog - not that the total water source tracer should sum to 1.0: very small deviations from this are possible due to numerical errors. Additional examples are available in these videos (applications as described by Wilson & Coulthard), each produced with output from this software: Carlisle flood model, UK (5 m version). Avon-Heathcote shallow estuary model, New Zealand. Amazon-Purus confluence, Brazil. Planar test case. For details of each of these, please see the Wilson & Coulthard paper [https://doi.org/10.5194/gmd-2021-340]. Video files are also available. For details of in general use of the CAESAR-Lisflood software, please see the main software website here. 
Type Of Technology Software 
Year Produced 2023 
Open Source License? Yes  
URL https://zenodo.org/record/7589022