Erratum: Monitoring water discharge and floodplain connectivity for the Northern Andes utilizing satellite data: A tool for river planning and science-based decision-making (Journal of Hydrology (2020) 586, (S0022169420303474), (10.1016/j.jhydrol.2020.124887))

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dc.citation.journalTitleJournal Of Hydrology
dc.contributor.authorRestrepo A J.D.spa
dc.contributor.authorKettner A.J.spa
dc.contributor.authorRobert Brakenridge G.spa
dc.contributor.departmentUniversidad EAFIT. Departamento de Geologíaspa
dc.contributor.researchgroupCiencias del Marspa
dc.date.accessioned2021-03-23T20:21:17Z
dc.date.available2021-03-23T20:21:17Z
dc.date.issued2020-01-01
dc.description.abstractRiver discharge data and magnitudes of floods are often not readily available for decision makers of many developing nations, including Colombia. And this while flooding for these regions is often devastating, causing many fatalities and insurmountable damage to the most vulnerable communities. During the wet season, in strong La Niña years, infrastructural damages of over $US 7.2 billion have occurred. Mitigation of such natural disasters lacks data-supported scientific approaches for evaluating river response to extreme climate events. Here, we propose a satellite-based technique to measure river discharge at selected sites for the main northern Andean River, the Magdalena. This method has the advantage of back calculating daily river discharges over a period of two decades, and thus making it possible to calculate return intervals of significant flood events. The study shows that satellite based river discharges well capture a) the inter-annual variability of river discharge; b) the natural seasonality of water discharge along the floodplains; and c) peak discharges that were observed during La Niña conditions between 2008 and 2011. The last is likely more accurate compared to ground-based gauging stations, as ground-based stations tend to overflow during large flood events and as such are hampered to accurately monitor peak discharges. Furthermore, we show that these derived discharges can form the base to study river-floodplain connectivity, providing environmental decision makers with a technique that makes it possible to better monitor river and ecosystem processes. © 2020 Elsevier B.V.eng
dc.identifierhttps://eafit.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=12160
dc.identifier.doi10.1016/j.jhydrol.2020.125123
dc.identifier.issn00221694
dc.identifier.issn18792707
dc.identifier.otherWOS;000599754500003
dc.identifier.otherSCOPUS;2-s2.0-85090032992
dc.identifier.urihttp://hdl.handle.net/10784/26948
dc.language.isoengeng
dc.publisherELSEVIER SCIENCE BV
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85090032992&doi=10.1016%2fj.jhydrol.2020.125123&partnerID=40&md5=67aee66020b11c1b2cafa18d08482d90
dc.rightshttps://v2.sherpa.ac.uk/id/publication/issn/0022-1694
dc.sourceJournal Of Hydrology
dc.subject.keywordAndeseng
dc.subject.keywordFloodplaineng
dc.subject.keywordMagdalena Rivereng
dc.subject.keywordRemote sensingeng
dc.subject.keywordRiver dischargeeng
dc.titleErratum: Monitoring water discharge and floodplain connectivity for the Northern Andes utilizing satellite data: A tool for river planning and science-based decision-making (Journal of Hydrology (2020) 586, (S0022169420303474), (10.1016/j.jhydrol.2020.124887))eng
dc.typeinfo:eu-repo/semantics/articleeng
dc.typearticleeng
dc.typeinfo:eu-repo/semantics/publishedVersioneng
dc.typepublishedVersioneng
dc.type.localArtículospa

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