Please use this identifier to cite or link to this item: http://hdl.handle.net/2067/42823
DC FieldValueLanguage
dc.contributor.authorGiuliani, Chiarait
dc.contributor.authorVeisz, Adrienn Caronteit
dc.contributor.authorPiccinno, Matteoit
dc.contributor.authorRecanatesi, Fabioit
dc.date.accessioned2021-02-16T09:38:37Z-
dc.date.available2021-02-16T09:38:37Z-
dc.date.issued2019it
dc.identifier.issn2279-7254it
dc.identifier.urihttp://hdl.handle.net/2067/42823-
dc.description.abstract© 2019, © 2019 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. Due to the concomitance of several factors related to progressive climate changes and to increased water management for anthropogenic usage, drastic fall in level of Bracciano Lake, a volcanic lake, 30 km northwest of Rome, was reported. In November 2017 the water level decreased 1.98 m below the hydrometric zero. Vulnerability to eutrophication was investigated by determination of the lake water volume and the related phosphorus concentration. At this purpose, the bathymetry layer of the water body and the application of supervised classification of Sentinel-2 images allowed to quantify the water body and to define the coastline shape. Once calculated the hydrometric reduction in water body after the hydrometric crisis, occurred in 2017, Vollenweider model allowed to estimate nutrient concentration (around 100.93 µg/l) and the relative increase of the eutrophication status (+2.3% per liter). According to the lake water quality classification proposed by the OECD, we classified the lake as a very eutrophic lake with a hypertrophic level in the period of water crisis. The proposed methodology represents an efficient monitoring tool for assessing the vulnerability of water bodies influenced by eutrophication.it
dc.language.isoengit
dc.rightsCC0 1.0 Universal*
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/*
dc.titleEstimating vulnerability of water body using Sentinel-2 images and environmental modelling: the study case of Bracciano Lake (Italy)it
dc.typearticle*
dc.identifier.doi10.1080/22797254.2019.1689796it
dc.identifier.scopus2-s2.0-85075083302it
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85075083302it
dc.relation.journalEUROPEAN JOURNAL OF REMOTE SENSINGit
dc.relation.firstpage64it
dc.relation.lastpage73it
dc.relation.volume52it
dc.relation.issuesup4it
dc.type.refereeREF_1it
dc.type.miur262*
item.fulltextWith Fulltext-
item.openairetypearticle-
item.cerifentitytypePublications-
item.grantfulltextrestricted-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.journal.journalissn2279-7254-
crisitem.journal.anceE214269-
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