A rapid flood inundation model for hazard mapping based on least squares support vector machine regression-Reference-Cited by-同舟云学术

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A rapid flood inundation model for hazard mapping based on least squares support vector machine regression

Published:2019-01-23 Issue:S1 Volume:12 Page:
ISSN:1753-318X
Container-title:Journal of Flood Risk Management
language:en
Short-container-title:J Flood Risk Management

Author:

Bermúdez María¹²^ORCID,Cea Luis²^ORCID,Puertas Jerónimo²

Affiliation:

1. Andalusian Institute for Earth System ResearchUniversidad de Granada, Environmental Fluid Dynamics Group Granada Spain

2. Department of Civil EngineeringUniversidade da Coruña, Water and Environmental Engineering Group A Coruña Spain

Funder

Ministerio de Economía y Competitividad

Publisher

Wiley

Subject

Water Science and Technology,Safety, Risk, Reliability and Quality,Geography, Planning and Development,Environmental Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jfr3.12522

Reference42 articles.

1. Flood risk analyses—how detailed do we need to be?

2. Assessing the uncertainty in distributed model predictions using observed binary pattern information within GLUE

3. Quantifying local rainfall dynamics and uncertain boundary conditions into a nested regional-local flood modeling system

4. Development and Comparison of Two Fast Surrogate Models for Urban Pluvial Flood Simulations

5. Sensitivity of flood loss estimates to building representation and flow depth attribution methods in micro-scale flood modelling

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