Colombia | Artículo de revista
dc.creatorSalgado-Cassiani, Julio Jose
dc.creatorCoronado-Hernández, Oscar E.
dc.creatorGustavo, Gatica
dc.creatorLinfati, Rodrigo
dc.creatorCoronado-Hernandez, Jairo R.
dc.date2022-06-08T12:21:59Z
dc.date2022-06-08T12:21:59Z
dc.date2022-04-10
dc.date.accessioned2023-10-03T20:02:30Z
dc.date.available2023-10-03T20:02:30Z
dc.identifierSalgado-Cassiani, J.J.; Coronado-Hernández, O.E.; Gatica, G.; Linfati, R.; Coronado-Hernández, J.R. Probabilistic Approach to Determine the Spatial Distribution of the Antecedent Moisture Conditions for Different Return Periods in the Atlántico Region, Colombia. Water 2022, 14, 1217. https://doi.org/ 10.3390/w14081217
dc.identifierhttps://hdl.handle.net/11323/9219
dc.identifierhttps://doi.org/ 10.3390/w14081217
dc.identifier10.3390/w14081217
dc.identifier2073-4441
dc.identifierCorporación Universidad de la Costa
dc.identifierREDICUC - Repositorio CUC
dc.identifierhttps://repositorio.cuc.edu.co/
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/9174078
dc.descriptionPrevious soil moisture conditions play an important role in the design of hydraulic structures because they are directly related to the runoff threshold associated with a return period. These represent one of the main determinants of the runoff response of a drainage basin. One of the main difficulties facing hydrologists in Colombia lies in the time spent gathering and analyzing information related to the selection of antecedent moisture conditions. In this study, complete records from 19 rainfall stations located in the Atlántico region, Colombia, were used to analyze the cumulative precipitation during the 5 days prior to the annual maximum daily precipitation associated with different return periods using the Gev, Gumbel, Pearson Type III and Log Pearson Type III probability distributions. Different interpolation methods (IDW, kriging and spline) were applied to evaluate the spatial distribution of the antecedent moisture conditions. The main contribution of this research is establishing, using a probabilistic approach, the behavior of antecedent moisture conditions in a particular region, which can be used by engineers and designers to plan water infrastructure. This probabilistic approach was applied to a case study of the Atlántico region, Colombia, where the spatial distribution of antecedent moisture conditions was calculated for several return periods. The results indicate that the better results were obtained with the IDW interpolation method, and the Pearson Type III and Gumbel distributions also showed the best fits based on the Akaike criterion.
dc.format24 páginas
dc.formatapplication/pdf
dc.formatapplication/pdf
dc.languageeng
dc.publisherMultidisciplinary Digital Publishing Institute (MDPI)
dc.publisherSwitzerland
dc.relationWater
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dc.rights© 2022 by the authors. Licensee MDPI, Basel, Switzerland.
dc.rightsAtribución 4.0 Internacional (CC BY 4.0)
dc.rightshttps://creativecommons.org/licenses/by/4.0/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttp://purl.org/coar/access_right/c_abf2
dc.sourcehttps://www.mdpi.com/2073-4441/14/8/1217/htm
dc.subjectPrecipitation
dc.subjectFrequency analysis
dc.subjectReturn period
dc.subjectAntecedent moisture condition
dc.titleProbabilistic approach to determine the spatial distribution of the antecedent moisture conditions for different return periods in the Atlántico region, Colombia
dc.typeArtículo de revista
dc.typehttp://purl.org/coar/resource_type/c_6501
dc.typeText
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typehttp://purl.org/redcol/resource_type/ART
dc.typeinfo:eu-repo/semantics/acceptedVersion
dc.typehttp://purl.org/coar/version/c_ab4af688f83e57aa
dc.coverageColombia
dc.coverageAtlántico


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