Simulated 15-min discharge time-series and baseline simulations for the River Kent following a Natural Flood Management intervention of 'Enhanced Hillslope Storage', Sedgewick, October 2015 to January 2016
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- Metadata Language
- English (en)
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- utf8
- Dataset Reference Date ()
- 2024-04-09
- Identifier
- doi: / 10.5285/af081a90-b014-43f7-9399-c948a8b7672f
- Other citation details
- Chappell, N.A., Beven, K.J., Smith, P., Hankin, B. (2024). Simulated 15-min discharge time-series and baseline simulations for the River Kent following a Natural Flood Management intervention of 'Enhanced Hillslope Storage', Sedgewick, October 2015 to January 2016. NERC EDS Environmental Information Data Centre 10.5285/af081a90-b014-43f7-9399-c948a8b7672f
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- This resource is available under the terms of the Creative Commons Attribution Licence (CC BY 4.0)
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- If you reuse this data, you should cite: Chappell, N.A., Beven, K.J., Smith, P., Hankin, B. (2024). Simulated 15-min discharge time-series and baseline simulations for the River Kent following a Natural Flood Management intervention of 'Enhanced Hillslope Storage', Sedgewick, October 2015 to January 2016. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/af081a90-b014-43f7-9399-c948a8b7672f
- Spatial representation type
- textTable
- Topic category
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- Environment
- Begin date
- 2015-10-01
- End date
- 2016-01-17
- Code
- WGS 84
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- dataset
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- dataset
Report
- Dataset Reference Date ()
- 2010-12-08
- Statement
- The simulations were performed with the latest version of Lancaster University’s distributed catchment model called ‘Dynamic TOPMODEL’. Version 0.2.1 and this is publicly available at: https://cran.r-project.org/web//packages/dynatop/index.html Dynamic TOPMODEL was used to assess change in flood peaks associated with Natural Flood Management (NFM) by refining the baseline results according to a Condition Tree Approach, where the first step is the choice of model, in this case Dynamic TOPMODEL. The second step is establishing a prior range of model parameters (see Table 1 in Beven et al., 2022, https://doi.org/10.1002/hyp.14752 ). The third step is the initial sampling strategy of Monte Carlo sampling of prior parameter distributions assuming independent uniform distributions. This gave 100,000 simulated river discharge datasets for the before (baseline) and post-intervention (Enhanced Hillslope Storage) simulations. The fourth step was to apply the Limits of Acceptability criteria determined from 2.5 to 97.5 quantiles of distributions of runoff coefficients from past events. These were applied to ranked hydrograph time steps for period in 2015 (Table 1 in Beven et al., 2022b, https://doi.org/10.1002/hyp.14703 ) including the largest flood on record, with additional timing constraint of ± 2 h. This gave 3249 surviving river discharge datasets for each scenario. The fifth step was to undertake additional evaluation of flood peaks, where Limits of acceptability approach was applied ranked hydrograph time steps in 2005 and 2009 (as set out in Table 2 in Beven et al., 2022, https://doi.org/10.1002/hyp.14752 ). This gave 118 surviving river discharge datasets for each scenario. Lastly, step six, the valuation of areas producing saturation excess overland flow was applied. Here simulations producing less than 10% of the area with surface storage greater than 1 mm at any time step additionally rejected. This gave 67 surviving river discharge datasets for each scenario. These 67 results are those presented in this shared dataset. For the NFM scenario, the location of the Enhanced Hillslope Storage features across the modelled River Kent catchment was based on the publically available WwNP (Working with Natural Processes) dataset (Hankin et al., 2018 Technical report SC150005/R6. Environment Agency, Bristol. 77pp, https://www.gov.uk/flood-and-coastal-erosion-risk-management-research-reports/working-with-natural-processes-to-reduce-flood-risk ). For the simulations presented in this NFM-scenario dataset, each bund feature was modelled with a residence time of 10 hours.
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- af081a90-b014-43f7-9399-c948a8b7672f XML
- Metadata Language
- English (en)
- Character set
- ISO/IEC 8859-1 (also known as Latin 1)
- Resource type
- dataset
- Hierarchy level name
- dataset
- Metadata Date
- 2024-04-12T14:16:44
- Metadata standard name
- UK GEMINI
- Metadata standard version
- 2.3