Show simple item record

dc.contributor.authorAcuña Alonso, Carolina 
dc.contributor.authorNovo Gómez, Ana 
dc.contributor.authorRodríguez Somoza, Juan Luis 
dc.contributor.authorVarandas, Simone
dc.contributor.authorÁlvarez Bermúdez, Xana 
dc.date.accessioned2022-09-13T11:58:50Z
dc.date.available2022-09-13T11:58:50Z
dc.date.issued2022-11
dc.identifier.citationEcological Informatics, 71, 101777 (2022)spa
dc.identifier.issn15749541
dc.identifier.urihttp://hdl.handle.net/11093/3820
dc.descriptionFinanciado para publicación en acceso aberto: Universidade de Vigo/CISUG
dc.description.abstractFloods are recurrent phenomena with significant environmental and socio-economic impacts. The risk of flooding increases when land use changes. The objective of this research is to detect land cover changes via Sentinel-2 images in the Umia Basin (Galicia, NW Spain) in 2016–2021 and to analyse the associated flood risk. This study focuses on how forest use and nature-based solutions (NBS) can reduce the risk and hazard of flooding in cities and crops in the high-risk area. A flood simulation was performed with the land use obtained from Sentinel-2 (Observed) and three more simulations were performed changing the location of afforestation and NBS, i.e. “S-Upstream”, “S-Downstream” and “S-Total”. Finally, the environmental, economic and social impacts of the scenarios designed and estimated are analysed and discussed. Land cover change was successfully monitored with Sentinel-2 imagery. The catchment area showed noteworthy changes in land use, most notably for the category of trees, which covered 6700 ha in 2016 and 10,911 ha in 2021. However riparian vegetation decreased by almost 11%. For the flood hazard simulations, an average reduction in peak discharge was obtained for all three scenarios (9.3% for S-Up; 8.6% for S-Down and 13% for S-Total). From the economic perspective, all three scenarios show a positive net present value for the period studied. However, S-Down is the scenario with the lowest benefits (€15,476,487), while S-Up and S-Total show better values at €29,580,643 and €65,158,130 respectively. However, investment cost is much higher for the S-Total scenario, and upstream actions affect the whole catchment, so S-Up is the best decision. This study concludes that the information provided by satellites is a large-scale analysis tool for small heterogeneous plots that facilitates the comprehensive analysis of a territory. This information can be incorporated into flood analysis models, facilitating simulation through the use of NBS. It has been proven that the use of reforestation upstream only is almost as beneficial as reforestation in the entire catchment and is economically more viable. This confirms that the methodology used reduces flood hazard, despite the territorial complexity, facilitating decision making on the use of NBS.spa
dc.description.sponsorshipUniversidade de Vigospa
dc.language.isoengspa
dc.publisherEcological Informaticsspa
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.titleModelling and evaluation of land use changes through satellite images in a multifunctional catchment: social, economic and environmental implicationsen
dc.typearticlespa
dc.rights.accessRightsopenAccessspa
dc.identifier.doi10.1016/j.ecoinf.2022.101777
dc.identifier.editorhttps://linkinghub.elsevier.com/retrieve/pii/S1574954122002278spa
dc.publisher.departamentoEnxeñaría dos recursos naturais e medio ambientespa
dc.publisher.grupoinvestigacionEnxeñería Agroforestalspa
dc.publisher.grupoinvestigacionXeotecnoloxías Aplicadasspa
dc.subject.unesco1203.14 Sistemas de Control del Entornospa
dc.subject.unesco3106 Ciencia Forestalspa
dc.subject.unesco3106.06 Protecciónspa
dc.date.updated2022-08-31T21:58:02Z
dc.computerCitationpub_title=Ecological Informatics|volume=71|journal_number=|start_pag=101777|end_pag=spa


Files in this item

[PDF]

    Show simple item record

    Attribution-NonCommercial-NoDerivatives 4.0 International
    Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 International