Urban flood risk mapping using an optimised additive weighting methodology based on open data

2019 ◽  
Vol 12 (S1) ◽  
Author(s):  
Daniel Jato‐Espino ◽  
Amaya Lobo ◽  
Agustín Ascorbe‐Salcedo
10.29007/l6jd ◽  
2018 ◽  
Author(s):  
Laurent Guillaume Courty ◽  
Jose Agustín Breña-Naranjo ◽  
Adrián Pedrozo-Acuña

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.


2019 ◽  
Vol 569 ◽  
pp. 142-154 ◽  
Author(s):  
Hamid Darabi ◽  
Bahram Choubin ◽  
Omid Rahmati ◽  
Ali Torabi Haghighi ◽  
Biswajeet Pradhan ◽  
...  

Author(s):  
Nathalie Saint-Geours ◽  
Jean-Stéphane Bailly ◽  
Frédéric Grelot ◽  
Christian Lavergne

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