Desarrollo de un modelo para cuantificar la intermitencia en procesos estocásticos

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dc.contributor.advisorOchoa Jaramillo, Andrés
dc.contributor.advisorChavez-Demoulin, Valérie
dc.contributor.authorTuirán Ruiz, Melisa
dc.contributor.cvlacTUIRAN RUIZ, MELISAspa
dc.contributor.researchgroupPosgrado en Aprovechamiento de Recursos Hidráulicosspa
dc.date.accessioned2024-01-25T16:12:30Z
dc.date.available2024-01-25T16:12:30Z
dc.date.issued2023
dc.description.abstractUna de las características poco estudiadas de la precipitación es la intermitencia, entendida como la alternancia de periodos de intensa y reducida actividad. La intermitencia tiene consecuencias para la agricultura y la generación de energía hidroeléctrica y favorece la ocurrencia de sequías e inundaciones. El capítulo 1 de esta tesis plantea una metodología para cuantificar la intermitencia de conglomerados de extremos, equivalentes a las agrupaciones de valores que igualan o superan el P90 de la serie. Esta consiste en el uso de un coeficiente de dispersión, Burstiness, y de una medida de agrupación extremal, el índice Extremal. En el capítulo 2 se cuantifica la intermitencia de la lluvia en Colombia aplicando la metodología del capítulo 1 en series diarias de precipitación de CHIRPS de resolución espacial 0.05° entre 1981 y 2022. De acuerdo a los resultados, las regiones Amazonía y Caribe son las regiones con menor y mayor dispersión de los parámetros que cuantifican la intermitencia, respectivamente. El diagnostico que se presenta tiene el potencial de poderse incorporar a la planificación de actividades de aprovechamiento de recursos y a la gestión de riesgos de desastres naturales. (Texto tomado de la fuente)spa
dc.description.abstractOne of the little studied characteristics of precipitation is intermittency, understood as the alternation of periods of intense and reduced activity. Intermittency has consequences for agriculture and hydroelectric energy generation and favors the occurrence of droughts and floods. Chapter 1 of this thesis proposes a methodology to quantify the intermittency of clusters of extremes, equivalent to the groupings of values that equal or exceed the P90 of the series. This consists of the use of a dispersion coefficient, Burstiness, and an extreme grouping measure, the Extremal Index. Chapter 2 quantifies rainfall intermittency in Colombia by applying the methodology of Chapter 1 on daily CHIRPS precipitation series of 0.05° spatial resolution between 1981 and 2022. According to the results, the Amazon and the Caribbean are the regions with the lowest and greatest dispersion of the parameters that quantify intermittency, respectively. The diagnosis presented has the potential to be incorporated into the planning of resource use activities and natural disaster risk management.eng
dc.description.curricularareaÁrea Curricular de Medio Ambientespa
dc.description.degreelevelMaestríaspa
dc.description.degreenameMagíster en Ingeniería - Recursos Hidráulicosspa
dc.description.sponsorshipEsta tesis se llevo a cabo gracias al apoyo financiero de Minciencias, la Universidad Nacional de Colombia, la Universidad EIA e Interconexión Eléctrica S.A. mediante el programa de investigación Valorando la variabilidad en el mercado eléctrico colombiano (contrato 80740-540-2020)spa
dc.format.extent41 páginasspa
dc.format.mimetypeapplication/pdfspa
dc.identifier.instnameUniversidad Nacional de Colombiaspa
dc.identifier.reponameRepositorio Institucional Universidad Nacional de Colombiaspa
dc.identifier.repourlhttps://repositorio.unal.edu.co/spa
dc.identifier.urihttps://repositorio.unal.edu.co/handle/unal/85445
dc.language.isospaspa
dc.publisherUniversidad Nacional de Colombiaspa
dc.publisher.branchUniversidad Nacional de Colombia - Sede Medellínspa
dc.publisher.facultyFacultad de Minasspa
dc.publisher.placeMedellín, Colombiaspa
dc.publisher.programMedellín - Minas - Maestría en Ingeniería - Recursos Hidráulicosspa
dc.relation.indexedLaReferenciaspa
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dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.licenseAtribución-NoComercial 4.0 Internacionalspa
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/spa
dc.subject.ddc620 - Ingeniería y operaciones afinesspa
dc.subject.lembHidrología estocástica
dc.subject.lembPrecipitación atmosférica
dc.subject.proposalHidrología estocásticaspa
dc.subject.proposalStochastic hydrologyeng
dc.subject.proposalRachasspa
dc.subject.proposalRunseng
dc.subject.proposalPrecipitaciónspa
dc.subject.proposalPrecipitationeng
dc.subject.proposalClimaspa
dc.subject.proposalClimateeng
dc.subject.proposalAnálisis de conglomeradosspa
dc.subject.proposalCluster analysiseng
dc.subject.wikidataLluvia
dc.titleDesarrollo de un modelo para cuantificar la intermitencia en procesos estocásticosspa
dc.title.translatedEvaluating Approaches for Quantifying Intermittency in Stochastic Processeseng
dc.typeTrabajo de grado - Maestríaspa
dc.type.coarhttp://purl.org/coar/resource_type/c_bdccspa
dc.type.coarversionhttp://purl.org/coar/version/c_ab4af688f83e57aaspa
dc.type.contentTextspa
dc.type.driverinfo:eu-repo/semantics/masterThesisspa
dc.type.redcolhttp://purl.org/redcol/resource_type/TMspa
dc.type.versioninfo:eu-repo/semantics/acceptedVersionspa
dcterms.audience.professionaldevelopmentInvestigadoresspa
oaire.accessrightshttp://purl.org/coar/access_right/c_abf2spa
oaire.fundernameMinciencias, Universidad Nacional de Colombia, Universidad EIA e Interconexión Eléctrica S.Aspa

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