Managing Large Geodatasets for Urban Flood Risk Mapping: The Mexican Flood Risk Atlas

6 pages•Published: September 20, 2018

Laurent Guillaume Courty, Jose Agustín Breña-Naranjo and Adrián Pedrozo-Acuña

Abstract

We present a flood risk mapping framework created in the context of the update of the Mexican flood risk atlas. This framework is based on a nation-wide GIS database of map time-series. Those maps are used as forcing for a deterministic, raster-based numerical model. For each catchment of interest, the model retrieves the data from the GIS and perform the computation on the specified area. The results are written directly in the GIS database, which facilitate their post-processing. This methodology allows 1) the generation of flood risk maps in cities located across the national territory, without too much effort in the pre and post-processing of information and 2) a very efficient process to create new flood maps for urban areas that have not been included in the original batch.

Keyphrases: computer modelling, flood risk mapping, gis

In: Goffredo La Loggia, Gabriele Freni, Valeria Puleo and Mauro De Marchis (editors). HIC 2018. 13th International Conference on Hydroinformatics, vol 3, pages 470-475.

Links:	https://easychair.org/publications/paper/wR22
	https://doi.org/10.29007/l6jd

BibTeX entry

@inproceedings{HIC2018:Managing_Large_Geodatasets_Urban,
  author    = {Laurent Guillaume Courty and Jose Agustín Breña-Naranjo and Adrián Pedrozo-Acuña},
  title     = {Managing Large Geodatasets for Urban Flood Risk Mapping: The Mexican Flood Risk Atlas},
  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/wR22},
  doi       = {10.29007/l6jd},
  pages     = {470-475},
  year      = {2018}}

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