Tapping the Power of Shallow-Water Models for Flood Hazard Mapping

8 pages•Published: September 20, 2018

Brett F. Sanders, Adam Luke, Jochen Schubert, Kristen Goodrich, David Feldman, Wing Cheung, Danielle Boudreau, Ana Eguiarte, Amir AghaKouchak, Douglas Houston, Victoria Basolo and Richard Matthew

Abstract

Advances in shallow-water modeling and high performance computing, combined with the increasing availability of fine scale geospatial data, now makes it possible to simulate flooding at spatial and temporal scales comparable to how people experience flooding. This poses enormous opportunities to improve the targeted communication of flood risks and accelerate adoption of vulnerability reduction measures. Here we present collaborative shallow-water modeling of flood hazards with end users, which results in hazard maps tailored to local decision-making needs and poised to reduce flood vulnerability within at risk communities.

Keyphrases: end users, flood map, flooding, shallow water modeling

In: Goffredo La Loggia, Gabriele Freni, Valeria Puleo and Mauro De Marchis (editors). HIC 2018. 13th International Conference on Hydroinformatics, vol 3, pages 1851-1858.

Links:	https://easychair.org/publications/paper/6sWT
	https://doi.org/10.29007/jmm6

BibTeX entry

@inproceedings{HIC2018:Tapping_Power_Shallow_Water,
  author    = {Brett F. Sanders and Adam Luke and Jochen Schubert and Kristen Goodrich and David Feldman and Wing Cheung and Danielle Boudreau and Ana Eguiarte and Amir AghaKouchak and Douglas Houston and Victoria Basolo and Richard Matthew},
  title     = {Tapping the Power of Shallow-Water Models for Flood Hazard Mapping},
  booktitle = {HIC 2018. 13th International Conference on Hydroinformatics},
  editor    = {Goffredo La Loggia and Gabriele Freni and Valeria Puleo and Mauro De Marchis},
  series    = {EPiC Series in Engineering},
  volume    = {3},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2516-2330},
  url       = {/publications/paper/6sWT},
  doi       = {10.29007/jmm6},
  pages     = {1851-1858},
  year      = {2018}}

Download PDF Open PDF in browser