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Water yield modelling, sensitivity analysis and validation

2021-08-01Artigo científico Acesso aberto
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dc.contributor.authorAlmeida, Bruna
dc.contributor.authorCabral, Pedro
dc.contributor.institutionNOVA Information Management School (NOVA IMS)
dc.contributor.institutionInformation Management Research Center (MagIC) - NOVA Information Management School
dc.contributor.pblMDPI - Multidisciplinary Digital Publishing Institute
dc.date.accessioned2021-08-11T23:23:41Z
dc.date.available2021-08-11T23:23:41Z
dc.date.issued2021-08-01
dc.descriptionAlmeida, B., & Cabral, P. (2021). Water yield modelling, sensitivity analysis and validation: A study for Portugal. ISPRS International Journal of Geo-Information, 10(8), 1-17. [494]. https://doi.org/10.3390/ijgi10080494 ----------------------------------------------------------------- Funding Information: Funding: This study was supported through the FCT (Fundação para a Ciência e a Tecnologia) under the projects PTDC/CTA-AMB/28438/2017—ASEBIO and UIDB/04152/2020—Centro de Investigação em Gestão de Informação (MagIC).
dc.description.abstractThe spatially explicit assessment of freshwater is key to introduce the ecosystem services (ES) concept into decision-making processes. Many tools are being developed to model water balance and to analyze the effects of meteorological conditions on water ES behaviors at multiple spatial scales. The current study uses the InVEST Annual Water Yield Model (WYM) to assess water availability in watersheds of the mainland of Portugal. The methodology included sensitivity analysis to test different parameters of the model and validation using the European Environment Agency (EEA) database on the quantity of Europe’s water resources. To evaluate the models’ sensitivity, Pearson’s correlation coefficients and statistical methods were calculated for each simulation. Results at the national level show a correlation coefficient of 0.803 with statistical significance for 0.01 one-tail. Water yield was underestimated by 56.5 mm/ha/year in the North of the country and overestimated by 58.1 mm/ha/year in the South. This difference was explained through the spatial-temporal assessment of the main climatic variables used as input. This study contributes to a methodology to assess the level of confidence in the WYM outputs and can be used to support the trustworthiness of water availability studies, using open-access data and software.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent17
dc.format.extent6409864
dc.identifier.doi10.3390/ijgi10080494
dc.identifier.issn2220-9964
dc.identifier.otherPURE: 33142102
dc.identifier.otherPURE UUID: 013e81bc-4f13-4b70-b47e-d56b72a31aac
dc.identifier.otherScopus: 85111587695
dc.identifier.otherORCID: /0000-0001-8622-6008/work/98375326
dc.identifier.otherWOS: 000689189200001
dc.identifier.otherORCID: /0000-0002-3349-1470/work/151705082
dc.identifier.urihttp://hdl.handle.net/10362/122395
dc.identifier.urlhttps://www.scopus.com/pages/publications/85111587695
dc.identifier.urlhttps://www.webofscience.com/wos/woscc/full-record/WOS:000689189200001
dc.language.isoeng
dc.peerreviewedyes
dc.relationinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/PTDC%2FCTA-AMB%2F28438%2F2017/PT
dc.relationAssessment of ecosystem services, biodiversity, and well-being in Portugal
dc.subjectDrought regulation
dc.subjectLand use and land cover
dc.subjectModel validation
dc.subjectNatural capital
dc.subjectWater yield
dc.subjectGeography, Planning and Development
dc.subjectComputers in Earth Sciences
dc.subjectEarth and Planetary Sciences (miscellaneous)
dc.subjectSDG 6 - Clean Water and Sanitation
dc.subjectSDG 15 - Life on Land
dc.titleWater yield modelling, sensitivity analysis and validationen
dc.title.subtitleA study for Portugalen
dc.typejournal article
degois.publication.firstPage1
degois.publication.issue8
degois.publication.lastPage17
degois.publication.titleISPRS International Journal of Geo-Information
degois.publication.volume10
dspace.entity.typePublication
oaire.awardNumberPTDC/CTA-AMB/28438/2017
oaire.awardTitleAssessment of ecosystem services, biodiversity, and well-being in Portugal
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/PTDC%2FCTA-AMB%2F28438%2F2017/PT
oaire.fundingStream3599-PPCDT
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccess
relation.isProjectOfPublication4f9d368d-6cde-4bac-95fb-417c920fd842
relation.isProjectOfPublication.latestForDiscovery4f9d368d-6cde-4bac-95fb-417c920fd842

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