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dc.contributor.author | Aguilar-Maldonado, J.A. | es_ES |
dc.contributor.author | Santamaría-del-Ángel, E. | es_ES |
dc.contributor.author | González-Silvera, Adriana | es_ES |
dc.contributor.author | Cervantes-Rosas, Omar D. | es_ES |
dc.contributor.author | López-Acuña, Lus M. | es_ES |
dc.contributor.author | Gutiérrez-Magness, Angélica | es_ES |
dc.contributor.author | Cerdeira, S. | es_ES |
dc.contributor.author | Sebastiá-Frasquet, M.-T. | es_ES |
dc.date.accessioned | 2020-04-27T05:55:28Z | |
dc.date.available | 2020-04-27T05:55:28Z | |
dc.date.issued | 2018 | es_ES |
dc.identifier.issn | 2073-4441 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/141522 | |
dc.description.abstract | [EN] Phytoplankton blooms are sporadic events in time and are isolated in space. This complex phenomenon is produced by a variety of both natural and anthropogenic causes. Early detection of this phenomenon, as well as the classification of a water body under conditions of bloom or non-bloom, remains an unresolved problem. This research proposes the use of Inherent Optical Properties (IOPs) in optically complex waters to detect the bloom or non-bloom state of the phytoplankton community. An IOP index is calculated from the absorption coefficients of the colored dissolved organic matter (CDOM), the phytoplankton (phy) and the detritus (d), using the wavelength (lambda) 443 nm. The effectiveness of this index is tested in five bloom events in different places and with different characteristics from Mexican seas: 1. Dzilam (Caribbean Sea, Atlantic Ocean), a diatom bloom (Rhizosolenia hebetata); 2. Holbox (Caribbean Sea, Atlantic Ocean), a mixed bloom of dinoflagellates (Scrippsiella sp.) and diatoms (Chaetoceros sp.); 3. Campeche Bay in the Gulf of Mexico (Atlantic Ocean), a bloom of dinoflagellates (Karenia brevis); 4. Upper Gulf of California (UGC) (Pacific Ocean), a diatom bloom (Coscinodiscus and Pseudo-nitzschia) and 5. Todos Santos Bay, Ensenada (Pacific Ocean), a dinoflagellate bloom (Lingulodinium polyedrum). The diversity of sites show that the IOP index is a suitable method to determine the phytoplankton bloom conditions. | es_ES |
dc.description.sponsorship | CONACYT supported this research with a doctorate scholarship to Jesús A. Aguilar-Maldonado, with the announcement number 251025 in 2015. María-Teresa Sebastiá-Frasquet was a beneficiary of the BEST/2017/217 grant, supported by the Valencian Conselleria d Educació, Investigació, Cultura i Esport (Spain) during her stay at the Universidad Autónoma de Baja California (Mexico). Thanks are extended to the Strategic Action Program of the Gulf of Mexico Large Marine Ecosystem (GoM-LME), of the United Nations Industrial Development Organization (UNIDO). | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | MDPI AG | es_ES |
dc.relation.ispartof | Water | es_ES |
dc.rights | Reconocimiento (by) | es_ES |
dc.subject | Absorption coefficients | es_ES |
dc.subject | Phytoplankton | es_ES |
dc.subject | Detritus | es_ES |
dc.subject | CDOM | es_ES |
dc.subject | Water quality | es_ES |
dc.subject | Monitoring | es_ES |
dc.subject.classification | TECNOLOGIA DEL MEDIO AMBIENTE | es_ES |
dc.title | Identification of Phytoplankton Blooms under the Index of Inherent Optical Properties (IOP Index) in Optically Complex Waters | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.3390/w10020129 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/CONACyT//251025/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/GVA//BEST%2F2017%2F217/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Ingeniería Hidráulica y Medio Ambiente - Departament d'Enginyeria Hidràulica i Medi Ambient | es_ES |
dc.description.bibliographicCitation | Aguilar-Maldonado, J.; Santamaría-Del-Ángel, E.; González-Silvera, A.; Cervantes-Rosas, OD.; López-Acuña, LM.; Gutiérrez-Magness, A.; Cerdeira, S.... (2018). Identification of Phytoplankton Blooms under the Index of Inherent Optical Properties (IOP Index) in Optically Complex Waters. Water. 10(2). https://doi.org/10.3390/w10020129 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.3390/w10020129 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 10 | es_ES |
dc.description.issue | 2 | es_ES |
dc.relation.pasarela | S\351886 | es_ES |
dc.contributor.funder | Generalitat Valenciana | es_ES |
dc.contributor.funder | Consejo Nacional de Ciencia y Tecnología, México | es_ES |
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