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dc.contributor.authorBaéz, Liz
dc.contributor.authorNogués Peña, Juan Pablo 
dc.contributor.authorVillalba Cardozo, Cynthia Emilia 
dc.contributor.otherUniversidad Nacional de Asunción - Facultad Politécnicaes
dc.contributor.otherUniversidad Paraguayo Alemana (PY)es
dc.date.accessioned2022-04-24T02:09:35Z
dc.date.available2022-04-24T02:09:35Z
dc.date.issued2018
dc.identifier.urihttp://hdl.handle.net/20.500.14066/3272
dc.description.abstractThis work focused in selecting 70 wells to conduct a groundwater quality sampling campaign. The wells were selected using 4 objectis: contamination risk of NT and CT, the coverage area and the wells which are publicly accessible. A Multiobjective Optimization Problem was defined to obtain the possible selections, and the Nondominated Sorting Genetic Algorithm II with Preference Ordering was implemented to solve it. The proposed solutions allowed the selection of 70 wells, 86% correspond to the wells which are publicly accessible, 70% of the wells are located in places with the high indices of contamination risk and cover 74% of the study area.es
dc.description.sponsorshipCONACYT - Consejo Nacional de Ciencias y Tecnologíaes
dc.language.isoenges
dc.subject.classification1 Exploración y explotación de la tierraes
dc.subject.otherMETEOROLOGIAes
dc.subject.otherCLIMATOLOGIAes
dc.subject.otherURBANISMOes
dc.subject.otherHIDROLOGIAes
dc.titleOptimization of a groundwater quality campaign utilizing the NSGA-II with preference ordering algorithm, contamination risk maps and well availability.es
dc.typeconference posteres
dc.conference.date2018-12
dc.conference.placeWashington D.C., USes
dc.conference.titleAGU Fall Meetinges
dc.description.fundingtextPROCIENCIAes
dc.relation.projectCONACYT14-INV-190es
dc.rights.accessRightsopen accesses


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    La colección integra afiches y pósters relacionados con proyectos de investigación y programas de vinculación de científicos y tecnólogos apoyados por el Programa PROCIENCIA.

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