Optimization of an urban rain gauge network utilizing different PCA-Variable identification techniques

dc.contributorUniversidad Paraguayo Alemana (PY)
dc.creatorNogues, Juan Pablo
dc.creatorRodríguez, Eduardo J.
dc.creatorBellasai, María A.
dc.creatorFalcón, Hugo A.
dc.date2022-04-24T03:15:56Z
dc.date2022-04-24T03:15:56Z
dc.date2018
dc.date.accessioned2023-09-25T13:31:36Z
dc.date.available2023-09-25T13:31:36Z
dc.identifierhttp://hdl.handle.net/20.500.14066/3296
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8807501
dc.description"In order to study the effects of urban runoff, through numerical models and the design of waterworks, appropriate rainfall information needs to be gathered and analyzed. With this purpose a 27 rain gauge network has been deployed over the AMA. Here we present a principal component analysis (PCA) on daily rainfall data collected from June 2016 to December 2017 in order identify the stations that should be kept in place, given the objective of accurately capturing the spatial variability of rainfall over the Metropolitan Area of Asuncion."
dc.descriptionCONACYT - Consejo Nacional de Ciencias y Tecnología
dc.descriptionPROCIENCIA
dc.languageeng
dc.relation14-INV-189
dc.rightsopen access
dc.subject1 Exploración y explotación de la tierra
dc.subjectMETEOROLOGIA
dc.subjectCLIMATOLOGIA
dc.subjectURBANISMO
dc.subjectHIDROLOGIA
dc.titleOptimization of an urban rain gauge network utilizing different PCA-Variable identification techniques
dc.typeconference poster


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