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Developing reliable urban flood hazard mapping from LiDAR data

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Developing reliable urban flood hazard mapping from LiDAR data

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dc.contributor.author Bodoque, José M. es_ES
dc.contributor.author Aroca-Jimenez, Estefanía es_ES
dc.contributor.author Eguibar Galán, Miguel Ángel es_ES
dc.contributor.author Garcia, Juan A. es_ES
dc.date.accessioned 2024-05-20T18:08:57Z
dc.date.available 2024-05-20T18:08:57Z
dc.date.issued 2023-02 es_ES
dc.identifier.issn 0022-1694 es_ES
dc.identifier.uri http://hdl.handle.net/10251/204304
dc.description.abstract [EN] Digital surface models (DSMs) are crucial in providing accurate urban flood hazard maps. The ubiquitous availability of LiDAR data (where accessible) makes constructing geometrically sound DSMs feasible. However, little attention has been paid to developing approaches for producing geometrically consistent DSMs. Herein is described an application-driven procedure for creating a geometrically robust DSM (DSM1). Two further DSMs were created, one for portraying streets using breaklines as ancillary information (DSM2) and the other through direct interpolation of LiDAR data (DSM3). The geometrical correctness and vertical accuracy of these DSMs were examined qualitatively and quantitatively by plotting longitudinal profiles and cross-sections onto major runoff pathways and determining statistical error. The effect of these DSMs' geometric consistency on flood hazard maps was also evaluated. For this, hydraulic outputs from DSM1 were used as a benchmark to compare hydraulic outputs from DSM2 and DSM3. This comparison was conducted at two spatial resolutions: i) at the total area flooded using the F statistic; and ii) at the pixel level by employing global indices and category-level indices extracted from a confusion matrix. Our findings revealed that: 1) DSM1 defined the most geometrically coherent configurations for runoff pathways; 2) in urban areas with the most densely packed streets and buildings, DSM2 and particularly DSM3 featured the most unrealistic geometric representations of the urban domain, displaying fake water flow barriers and lower than real runoff pathway cross-sections; and 3) the geometric quality of the DSMs created had a significant impact on flood hazard maps reliability (i.e., the disagreement in flood hazard categories between DSM2 and DSM3 and DSM1 varied from 28% to 82%). These findings can be very valuable in achieving further reductions and better flood risk management. es_ES
dc.description.sponsorship This research is part of the project CGL2017-83546-C3-1-R/AEI/FEDER, UE, funded by MCIN/AEI/10.13039/501100011033 and by ERDF A way of making Europe. es_ES
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Journal of Hydrology es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Urban areas es_ES
dc.subject Digital surface model es_ES
dc.subject LiDAR dataset es_ES
dc.subject Hydraulic modelling es_ES
dc.subject Flood hazard es_ES
dc.subject.classification INGENIERIA HIDRAULICA es_ES
dc.title Developing reliable urban flood hazard mapping from LiDAR data es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.jhydrol.2022.128975 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/CGL2017-83546-C3-1-R/ES/DISEÑO DE UNA METODOLOGIA PARA INCREMENTAR LA RESILIENCIA ANTE INUNDACIONES COMPATIBLE CON LA MEJORA DEL ESTADO DE LAS MASAS DE AGUA Y LA GESTION SOSTENIBLE DE LOS RECURSOS/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros de Caminos, Canales y Puertos - Escola Tècnica Superior d'Enginyers de Camins, Canals i Ports es_ES
dc.description.bibliographicCitation Bodoque, JM.; Aroca-Jimenez, E.; Eguibar Galán, MÁ.; Garcia, JA. (2023). Developing reliable urban flood hazard mapping from LiDAR data. Journal of Hydrology. 617:1-17. https://doi.org/10.1016/j.jhydrol.2022.128975 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.jhydrol.2022.128975 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 17 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 617 es_ES
dc.relation.pasarela S\511801 es_ES
dc.contributor.funder Agencia Estatal de Investigación es_ES
dc.contributor.funder European Regional Development Fund es_ES


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