Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12394/18031
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dc.contributor.advisorHuari Huaman, Olga Primaveraes_PE
dc.contributor.authorGuzman Vila, Vivian Anyelaes_PE
dc.contributor.authorPerez Farfan, Cecilia Jenyferes_PE
dc.contributor.authorYsla Huaman, Melania Haydeees_PE
dc.contributor.authorCornejo Tueros, Jose Vladimires_PE
dc.date.accessioned2025-09-24T15:19:36Z-
dc.date.available2025-09-24T15:19:36Z-
dc.date.issued2025-
dc.identifier.citationGuzman, V., Perez, C., Ysla, M., & Cornejo, J. (2025). Model of the trophic state of lagoons in high Andean zones of Peru, applying remote sensing and GIS [Tesis de licenciatura, Universidad Continental]. Repositorio Institucional Continental.https://repositorio.continental.edu.pe/handle/20.500.12394/18031es_PE
dc.identifier.urihttps://hdl.handle.net/20.500.12394/18031-
dc.description.abstractThe use of remote sensing is one of the most important tools for the evaluation of environmental problems, which are caused by humans or by natural activities and even driven by climate change. The objective of this research was to develop a model to determine the trophic state of lagoons in high Andean zones of Peru, based on remote sensing and GIS (Geographic information systems), in such a way that the estimation of the trophic state of these bodies of water can be determined without the need for a periodic or in situ sampling process. As a result, the model to determine the trophic state of the Paca and Ñahuimpuquio lagoon was obtained, it is TRIX = 5.943 - 0.000480B1 - 0.000695B2 + 0.00032B3 + 0.000811B4 - 0.000465B5, which is applicable to determine trophic state indexes during low levels, the model allows the elaboration of maps that facilitate the identification of zones with different eutrophication states, with the option of extracting for a given point the value of the evaluated parameter and its Cartesian coordinates. Finally, the proposed study can be adapted to other regions with similar characteristics; however, water quality monitoring data is required to validate a new model.es_PE
dc.formatapplication/pdfes_PE
dc.format.extentp. 3–13es_PE
dc.language.isoenges_PE
dc.publisherUniversidad Continental.es_PE
dc.relationhttps://link.springer.com/chapter/10.1007/978-3-031-63901-2_1es_PE
dc.rightsinfo:eu-repo/semantics/openAccesses_PE
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/es_PE
dc.sourceUniversidad Continentales_PE
dc.sourceRepositorio Institucional - Continentales_PE
dc.subjectTeledetecciónes_PE
dc.subjectRemote sensinges_PE
dc.subjectSatélites artificialeses_PE
dc.subjectArtificial satelliteses_PE
dc.subjectContaminación del aguaes_PE
dc.subjectWater pollutiones_PE
dc.subjectCalidad del aguaes_PE
dc.subjectWater qualityes_PE
dc.subjectEspacio y tiempoes_PE
dc.subjectSpace and timees_PE
dc.titleModel of the trophic state of lagoons in high Andean zones of Peru, applying remote sensing and GISes_PE
dc.title.alternativeModelo del estado trófico de lagunas en zonas altoandinas de Perú, aplicando teledetección y SIGes_PE
dc.typeinfo:eu-repo/semantics/bachelorThesises_PE
dc.rights.licenseAttribution 4.0 International (CC BY 4.0)es_PE
dc.rights.accessRightsAcceso abiertoes_PE
dc.publisher.countryPEes_PE
thesis.degree.nameIngeniero Ambientales_PE
thesis.degree.grantorUniversidad Continental. Facultad de Ingeniería.es_PE
thesis.degree.disciplineIngeniería Ambientales_PE
thesis.degree.programPregrado presencial regulares_PE
dc.identifier.journalSpringer Nature Linkes_PE
dc.identifier.doihttps://doi.org/10.1007/978-3-031-63901-2_1-
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#2.07.00es_PE
renati.advisor.dni76613084-
renati.advisor.orcidhttps://orcid.org/0009-0005-9068-2432es_PE
renati.author.dni70345240-
renati.author.dni77166034-
renati.author.dni76221942-
renati.author.dni41588643-
renati.discipline521066es_PE
renati.levelhttps://purl.org/pe-repo/renati/level#tituloProfesionales_PE
renati.typehttps://purl.org/pe-repo/renati/type#tesises_PE
dc.type.versioninfo:eu-repo/semantics/publishedVersiones_PE
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