Please use this identifier to cite or link to this item: http://ricaxcan.uaz.edu.mx/jspui/handle/20.500.11845/1897
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dc.contributor31249es_ES
dc.contributor.otherhttps://orcid.org/0000-0002-7337-8974-
dc.coverage.spatialGlobales_ES
dc.creatorRodriguez Juárez, Pedro-
dc.creatorJunes Ferrerira, Hugo-
dc.creatorGonzález Trinidad, Julian-
dc.creatorDe la Rosa Vargas, José Ismael-
dc.creatorGalván Tejada, Carlos-
dc.creatorBurnes, Susana-
dc.date.accessioned2020-05-07T14:43:21Z-
dc.date.available2020-05-07T14:43:21Z-
dc.date.issued2018-02-
dc.identifierinfo:eu-repo/semantics/publishedVersiones_ES
dc.identifier.issn2474-9044es_ES
dc.identifier.urihttp://ricaxcan.uaz.edu.mx/jspui/handle/20.500.11845/1897-
dc.identifier.urihttps://doi.org/10.48779/y43v-pv09-
dc.description.abstractIn this work the development of a continuous monitoring system for the hydraulic conductivity is presented. The system uses the measurement of temperatures in geological materials at different depths to calculate the wáter flux rates by using analytical solutions for the Stallman´s heat and fluid transport equation. Data from sensors are filtered and phase and amplitude information is extracted by using Digital Signal Processing techniques, such as DHR inside MATLAB environment. A column test was developed to evaluate the system performance and its results were compared against real infiltration data. Initial result shows a good performance (r- RSME = 0.08). After improvements, the system could be installed in the field to monitor water flux rates and hydraulic conductivity in intermittent rivers and areas considered as a recharge zones to study and quantify infiltration volumes.es_ES
dc.language.isoenges_ES
dc.publisherIEEEes_ES
dc.relationhttps://ieeexplore.ieee.org/xpl/conhome/8320203/proceedinges_ES
dc.relation.urigeneralPublices_ES
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 Estados Unidos de América*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.sourceProc. of the IEEE International Conference on Electronics, Communications and Computers (CONIELECOMP2018), Cholula, 2018, pp. 80-85.es_ES
dc.subject.classificationINGENIERIA Y TECNOLOGIA [7]es_ES
dc.subject.otherDynamic Harmonic Regression (DHR)es_ES
dc.subject.otherHydraulic conductivityes_ES
dc.subject.otherStallman equationes_ES
dc.titleVadose zone hydraulic conductivity monitoring by using an arduino data acquisition systemes_ES
dc.typeinfo:eu-repo/semantics/conferencePaperes_ES
Appears in Collections:*Documentos Académicos*-- M. en Ciencias del Proc. de la Info.

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