Flood Damage Analysis: First Floor Elevation Uncertainty Resulting from LiDAR-Derived Digital Surface Models

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dc.contributor.author Bodoque, José María
dc.contributor.author Guardiola Albert, Carolina
dc.contributor.author Aroca-Jimenez, Estefanía
dc.contributor.author Eguibar, Miguel Ángel
dc.contributor.author Martínez Chenoll, María Lorena
dc.date.accessioned 2020-09-28T12:27:49Z
dc.date.available 2020-09-28T12:27:49Z
dc.date.issued 2016-07-19
dc.identifier.citation Remote Sensing, 2016, n. 8, 604 es_ES
dc.identifier.issn 2072-4292
dc.identifier.uri http://hdl.handle.net/20.500.12468/424
dc.description.abstract The use of high resolution ground-based light detection and ranging (LiDAR) datasets provides spatial density and vertical precision for obtaining highly accurate Digital Surface Models (DSMs). As a result, the reliability of flood damage analysis has improved significantly, owing to the increased accuracy of hydrodynamic models. In addition, considerable error reduction has been achieved in the estimation of first floor elevation, which is a critical parameter for determining structural and content damages in buildings. However, as with any discrete measurement technique, LiDAR data contain object space ambiguities, especially in urban areas where the presence of buildings and the floodplain gives rise to a highly complex landscape that is largely corrected by using ancillary information based on the addition of breaklines to a triangulated irregular network (TIN). The present study provides a methodological approach for assessing uncertainty regarding first floor elevation. This is based on: (i) generation an urban TIN from LiDAR data with a density of 0.5 points m 2, complemented with the river bathymetry obtained from a field survey with a density of 0.3 points m 2. The TIN was subsequently improved by adding breaklines and was finally transformed to a raster with a spatial resolution of 2 m; (ii) implementation of a two-dimensional (2D) hydrodynamic model based on the 500-year flood return period. The high resolution DSM obtained in the previous step, facilitated addressing the modelling, since it represented suitable urban features influencing hydraulics (e.g., streets and buildings); and (iii) determination of first floor elevation uncertainty within the 500-year flood zone by performing Monte Carlo simulations based on geostatistics and 1997 control elevation points in order to assess error. Deviations in first floor elevation (average: 0.56 m and standard deviation: 0.33 m) show that this parameter has to be neatly characterized in order to obtain reliable assessments of flood damage assessments and implement realistic risk management. es_ES
dc.description.sponsorship Departamento de Ingeniería Geológica y Minera, Universidad de Castilla-La Mancha, España es_ES
dc.description.sponsorship Departamento de Investigación en Recursos Geológicos, Instituto Geológico y Minero de España, España es_ES
dc.description.sponsorship Instituto de Ingenieria del Agua y Medio Ambiente, Universitat Politècnica de València, España es_ES
dc.description.sponsorship Departamento de Ingeniería Hidráulica y Medio Ambiente, Universitat Politècnica de València, España es_ES
dc.language.iso en es_ES
dc.publisher Multidisciplinary Digital Publishing Institute es_ES
dc.relation MARCoNI project (CGL2013-42728-R) es_ES
dc.rights Acceso abierto es_ES
dc.subject digital surface models es_ES
dc.subject urban features es_ES
dc.subject breaklines es_ES
dc.subject 2D hydraulic modelling es_ES
dc.subject flood risk es_ES
dc.subject Monte Carlo simulation es_ES
dc.subject geostatistics es_ES
dc.title Flood Damage Analysis: First Floor Elevation Uncertainty Resulting from LiDAR-Derived Digital Surface Models es_ES
dc.type Postprint es_ES
dc.relation.publisherversion https://www.mdpi.com/2072-4292/8/7/604/htm es_ES
dc.description.funder Instituto Geográfico Nacional, España es_ES
dc.identifier.doi https://doi.org/10.3390/rs8070604 es_ES


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