FloodMap Live Technology

FloodMap Live Technology


Previsico is a global provider of real-time street level flood warnings. These are produced using our state-of-the-art flood forecasting technology developed over two decades of at Loughborough University, together with key stakeholders including the Environment Agency and the UK Cabinet Office. The forecasting technology FloodMap Live uses live modelling to produce actionable forecasts which enable people and organisations to proactively mitigate flood impacts. Uniquely, these are continuously modelled and updated using the very best weather forecasts in partnership with IBM’s Weather Company. FloodMap Live is powered using FloodMap a specially developed flood modelling software created in 2001. This 2D flood simulation software uses high-quality topographic and hydrological data to produce fast, accurate representations of flow routing across flood plains including surface water, river and coastal flooding. The model is broadly outlined in Yu and Lane (2006a,b). Further research that underpins the technology was published in internationally respected journals over two decades. A selection of these publications are listed below:

  • Yin, J, Yu, D, Lin, N, Wilby, RL (2017) Evaluating the cascading impacts of sea level rise and coastal flooding on emergency response spatial accessibility in Lower Manhattan, New York City, Journal of Hydrology, 555, pp.648-658, ISSN: 0022-1694.
  • Coles, D, Yu, D, Wilby, RL, Green, D, Herring, Z (2017) Beyond ‘flood hotspots’: Modelling emergency service accessibility during flooding in York, UK, Journal of Hydrology, ISSN: 0022-1694.
  • Yu, D, Yin, J, Liu, M (2016) Validating city-scale surface water flood modelling using crowd-sourced data, Environmental Research Letters, ISSN: 1748-9326.
  • Yin, J, Lin, N, Yu, D (2016) Coupled modeling of storm surge and coastal inundation: a case study in New York City during Hurricane Sandy, Water Resources Research, ISSN: 1944-7973. DOI: 10.1002/2016WR019102.
  • Yin, J, Yu, D, Yin, Z, Liu, M, He, Q (2016) Evaluating the impact and risk of pluvial flash flood on intra-urban road net- work: A case study in the city center of Shanghai, China, Journal of Hydrology, 537, pp.138-145, ISSN: 0022-1694.
  • Yu, D and Coulthard, TJ (2015) Evaluating the importance of catchment hydrological parameters for urban surface water flood modelling using a simple hydro-inundation modelJournal of Hydrology, 524, pp.385-400, ISSN: 0022-1694.
  • Yu, D (2010) Parallelization of a two-dimensional flood inundation model based on domain decomposition, Environmental Modelling and Software, 25(8), pp.935-945, ISSN: 1364-8152. DOI: 10.1016/j.envsoft.2010.03.003.
  • Y Yu, D and Lane, SN (2006a) Urban fluvial flood modelling using a two-dimensional diffusion wave treatment, part 1: Mesh resolution effects, Hydrological Processes, 20(7), pp.1541-1565
  • Yu, D and Lane, SN (2006b) Urban fluvial flood modelling using a two-dimensional diffusion wave treatment, part 2: Development of a sub grid-scale treatment, Hydrological Processes, 20(7), pp.1567-1583
  • Yin, J, Yu, D, Yin, Z, Wang, J, Xu, S (2015) Modelling the anthropogenic impacts on fluvial flood risks in a coastal mega-city: A scenario-based case study in Shanghai, China. Landscape and Urban Planning, 136, pp.144-155.
  • Yin, J, Yu, D, Wilby, R (2016) Modelling the impact of land subsidence on urban pluvial flooding: A case study of downtown Shanghai, China, Science of the Total Environment, 544, pp.744-744.
  • Yin, J, Yu, D, Yin, Z, Liu, M, He, Q (2016) Evaluating the impact and risk of pluvial flash flood on intra-urban road net-work: A case study in the city centre of Shanghai, China, Journal of Hydrology, 537, pp.138-145.

For further reading and visit Prof Yu’s Google Scholar page or contact us at [email protected]

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