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Título: Dasymetry Dash Flood (DDF). A method for population mapping and flood exposure assessment in touristic citie
Fecha de publicación: 25-mar-2022
Editorial: Elsevier
Cita bibliográfica: Applied Geography. Volume 142, May 2022, 102683
Materias relacionadas: CDU::9 - Geografía e historia::91 - Geografía.Exploración de la tierra y de los distintos países.Viajes.Geografía regional
Palabras clave: Dasymetric mapping
Cadastral
Population mapping
3D mapping
Flood exposure
Flood hazard
Touristic cities
Resumen: Population disaggregation methods are a land management tool that is necessary to robustly assess the exposure of populations to natural hazards. The aim of these methods is to translate population values from large spatial units to smaller spatial units. Due to their improvement, the accuracy in quantifying the population exposed to natural hazards has increased significantly in recent years. However, in the case of floods, where the actual exposure to the hazard depends on the height of the buildings, there is a methodological deficiency with regard to reaching the necessary level of detail. This is a methodological challenge that is exacerbated in urban areas specialising in tourism, where there are a large number of dwellings dedicated to the housing of tourists. In this paper we propose a 3D cartographic dasymetry (DDF) method that, based on cadastral information and the population and housing census, manages to solve these problems of flood hazard exposure assessment reasonably well. For validation, the results are compared with three widely used 2D methods. Our work shows that the proposed method offers better outputs for use in high-precision work; but also, when such detail is not necessary, more basic methods achieve results with only marginal differences.
Autor/es principal/es: Pérez Morales, Alfredo
Gil Guirado, Salvador
Martínez García, Víctor
URI: http://hdl.handle.net/10201/137780
DOI: https://doi.org/10.1016/j.apgeog.2022.102683
Tipo de documento: info:eu-repo/semantics/article
Derechos: info:eu-repo/semantics/openAccess
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Descripción: 228/© 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license http://creativecommons.org/licenses/by-nc-nd/4.0/
Aparece en las colecciones:Artículos: Geografía

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