Multi-criteria characterization and mapping of coastal cliff environments: A case study in NW Spain

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dc.contributor.author Bergillos, Rafael J.
dc.contributor.author Rodriguez-Delgado, Cristobal
dc.contributor.author Cremades, Javier
dc.contributor.author Medina, Luis
dc.contributor.author Iglesias, Gregorio
dc.date.accessioned 2020-07-30T13:21:14Z
dc.date.available 2020-07-30T13:21:14Z
dc.date.issued 2020-07-17
dc.identifier.citation Bergillos, R. J., Rodriguez-Delgado, C., Cremades, J., Medina, L. and Iglesias, G. (2020) 'Multi-criteria characterization and mapping of coastal cliff environments: A case study in NW Spain', Science of The Total Environment,140942, doi: en
dc.identifier.startpage 1 en
dc.identifier.endpage 42 en
dc.identifier.issn 0048-9697
dc.identifier.uri http://hdl.handle.net/10468/10341
dc.identifier.doi 10.1016/j.scitotenv.2020.140942 en
dc.description.abstract This paper presents a novel approach to characterize cliff exposure to marine action that combines wave power and biology. This multidisciplinary approach is illustrated through a case study on a coastal stretch in NW Spain – the Catedrales Natural Monument. The engineering perspective is based on quantifying the wave power acting on the cliff. To this end, a statistical characterization of the wave climate in deep water is carried out, and relevant sea states are propagated numerically from deep water to the cliff. Four levels of cliff exposure, from sheltered to exposed, are defined based on wave power and mapped onto the study area. As for the biological perspective, ecological factors, bioindicated variables and biological indicators characterized through field observations are considered and, on this basis, also four levels of cliff exposure are established and mapped. In general, there is good agreement between the exposure patterns obtained through the engineering and biological perspectives; however, there are some differences in certain areas. The upshot is that the engineering and biological points of view should be regarded as complementary. The multi-criteria characterization performed in this paper may be used as a management tool to establish different degrees of exposure to marine action on cliff coasts elsewhere. en
dc.description.sponsorship Xunta de Galicia and European Commission (project ―Study to establish the current geological and geotechnical situation of the Natural Monument Catedrales beach and its possible evolution in time); Ministerio de Ciencia Innovación y Universidades of Spain (Programa Juan de la Cierva 2017, FJCI-2017-31781) en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher Elsevier en
dc.relation.uri http://www.sciencedirect.com/science/article/pii/S0048969720344715
dc.rights © 2020 Published by Elsevier Under a Creative Commons license en
dc.rights.uri https://creativecommons.org/licenses/by/4.0/ en
dc.subject Coastal management en
dc.subject Erosion en
dc.subject Cliff mapping en
dc.subject Wave power en
dc.subject Marine ecology en
dc.title Multi-criteria characterization and mapping of coastal cliff environments: A case study in NW Spain en
dc.type Article (peer-reviewed) en
dc.internal.authorcontactother Gregario Iglesias, Civil & Environmental Engineering, University College Cork, Cork, Ireland. +353-21-490-3000 Email:gregorio.iglesias@ucc.ie en
dc.internal.availability Full text available en
dc.date.updated 2020-07-30T13:09:31Z
dc.description.version Accepted Version en
dc.internal.rssid 528344838
dc.contributor.funder Xunta de Galicia en
dc.contributor.funder European Commission en
dc.contributor.funder Ministerio de Ciencia, Innovación y Universidades en
dc.contributor.funder Plymouth University en
dc.description.status Peer reviewed en
dc.identifier.journaltitle Science of The Total Environment en
dc.internal.copyrightchecked Yes
dc.internal.licenseacceptance Yes en
dc.internal.IRISemailaddress gregorio.iglesias@ucc.ie en
dc.identifier.articleid 140942 en


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© 2020 Published by Elsevier Under a Creative Commons license Except where otherwise noted, this item's license is described as © 2020 Published by Elsevier Under a Creative Commons license
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