Estimating soil water content in a thorny forest ecosystem by time-lapse electrical resistivity tomography (ERT) and HYDRUS 2D/3D simulations

dc.contributor.affiliationPontificia Universidad Catolica de Valparaiso
dc.contributor.affiliationUniversidad de Chile
dc.contributor.affiliationUniversidad de La Frontera
dc.contributor.affiliationUniversidade de Sao Paulo
dc.contributor.affiliationWageningen University & Research
dc.contributor.affiliationSwiss Federal Institutes of Technology Domain
dc.contributor.affiliationEcole Polytechnique Federale de Lausanne
dc.contributor.affiliationUniversidad de Las Americas - Chile
dc.contributor.affiliationUniversidad Adolfo Ibanez
dc.contributor.authorFaúndez Urbina, Carlos A.
dc.contributor.authorCabrera Alanis, Daniel
dc.contributor.authorRamirez, Elizabeth
dc.contributor.authorSeguel, Oscar
dc.contributor.authorFustos, Ivo J.
dc.contributor.authorDiaz Donoso, Pablo
dc.contributor.authorde Miranda, Jarbas Honorio
dc.contributor.authorRakonjac, Nikola
dc.contributor.authorElgueta Palma, Sebastian
dc.contributor.authorGalleguillos, Mauricio
dc.date.accessioned2024-09-03T19:18:58Z
dc.date.available2024-09-03T19:18:58Z
dc.date.issued2023-10
dc.description.abstractAbstract Determination of soil volumetric water content in forest ecosystems is particularly challenging due to deep rooting systems and unknown soil vertical and spatial heterogeneity. This research aims to test two undisturbed methods, electrical resistivity tomography (ERT) and HYDRUS 2D/3D, for 2D determination in a thorny forest ecosystem. The experiment consisted of infiltrating 10 L of water lasting 60 min. During infiltration, ERT measured apparent resistivity by time‐lapse measurements, and was measured with an FDR probe (EnviroSCAN) at 33, 63, 83, 97, and 163 cm depth close to the infiltration site. At the end of infiltration, a soil pit was dug, and 100 measurements of were performed with a TDR in a 10 × 10 cm regular grid. Archie law transformed soil resistivity (ERT) into using manual calibration, verified by an independent dataset. The 2D profile obtained by ERT was qualitatively compared with the HYDRUS 2D/3D one. HYDRUS 2D/3D was parametrized with calibrated parameters obtained with HYDRUS 1D using 106 days of obtained with EnviroSCAN. The results of HYDRUS 1D calibration and verification were satisfactory, with RMSE and Nash‐Sutcliffe coefficients ranging from 0.021 to 0.034 cm 3 cm −3 and 0.11 to 0.77, respectively. The forward HYDRUS 2D/3D simulation disagrees with EnviroSCAN data for 33 cm depth. However, it follows the trend with near to zero variation of water content at 63 cm depth. Water content determination by ERT was satisfactory with RMSE for calibration and verification of 0.017 and 0.021 cm 3 cm −3 . HYDRUS 2D/3D and ERT comparisons were not equal, with a shallower wetting front by ERT and a deeper one for HYDRUS. Still, both wetting fronts agree with the wetting depth estimated by EnviroSCAN. We conclude that both methods are an alternative for determination in heterogeneous and deep soils of forest ecosystems.
dc.description.sponsorshipAgencia Nacional de Investigacion y Desarrollo (ANID), Chile, FONDECYT de Iniciacion [11230533]; FONDECYT [1210932]; Center for Climate Resilience Research FONDAP-ANID [1522A000]; This research was funded by Agencia Nacional de Investigacion y Desarrollo (ANID), Chile, FONDECYT de Iniciacion grant number 11230533, and FONDECYT regular grant number 1210932, Center for Climate Resilience Research FONDAP-ANID 1522A000.
dc.format.mimetypeapplication/pdf
dc.identifier.citationHydrological Processes, 37(10), e15002. https://doi.org/10.1002/hyp.15002
dc.identifier.doihttps://doi.org/10.1002/hyp.15002
dc.identifier.folio11230533
dc.identifier.folio1210932
dc.identifier.issn0885-6087
dc.identifier.orcidhttps://orcid.org/0000-0003-4925-5277
dc.identifier.orcidhttps://orcid.org/0000-0002-3542-5477
dc.identifier.orcidhttps://orcid.org/0000-0002-5931-5889
dc.identifier.orcidhttps://orcid.org/0000-0002-0206-5233
dc.identifier.orcidhttps://orcid.org/0000-0003-4617-0980
dc.identifier.orcidhttps://orcid.org/0000-0002-9396-1577
dc.identifier.orcidhttps://orcid.org/0000-0001-9866-008X
dc.identifier.researcheridJMR-1697-2023
dc.identifier.researcheridAAI-6031-2020
dc.identifier.researcheridI-1571-2013
dc.identifier.researcheridC-2310-2012
dc.identifier.researcheridD-8831-2015
dc.identifier.researcheridACN-8311-2022
dc.identifier.researcheridISU-8809-2023
dc.identifier.rorhttps://ror.org/02cafbr77
dc.identifier.rorhttps://ror.org/047gc3g35
dc.identifier.rorhttps://ror.org/04v0snf24
dc.identifier.rorhttps://ror.org/036rp1748
dc.identifier.rorhttps://ror.org/02s376052
dc.identifier.rorhttps://ror.org/04qw24q55
dc.identifier.rorhttps://ror.org/0166e9x11
dc.identifier.rorhttps://ror.org/0326knt82
dc.identifier.rorhttps://ror.org/0508vn378
dc.identifier.scopusauthorid58182495500
dc.identifier.scopusauthorid58635845700
dc.identifier.scopusauthorid58636093400
dc.identifier.scopusauthorid8363448100
dc.identifier.scopusauthorid56458932600
dc.identifier.scopusauthorid58712217000
dc.identifier.scopusauthorid27567511500
dc.identifier.scopusauthorid57203526160
dc.identifier.scopusauthorid57208721921
dc.identifier.scopusauthorid36727582800
dc.identifier.urihttps://repositorio.udla.cl/handle/udla/1381
dc.language.isoeng
dc.publisherWILEY
dc.relation.fundingFondo Nacional de Desarrollo Científico y Tecnológico, FONDECYT, (11230533, 1210932, 1522A000)
dc.relation.fundingAgencia Nacional de Investigación y Desarrollo, ANID
dc.relation.fundingAgencia Nacional de Investigacion y Desarrollo (ANID), Chile, FONDECYT de Iniciacion [11230533]
dc.relation.fundingFONDECYT [1210932]
dc.relation.fundingCenter for Climate Resilience Research FONDAP-ANID [1522A000]
dc.relation.isindexedbyWeb of Science
dc.relation.issn0885-6087
dc.rights.accessrightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://onlinelibrary.wiley.com/termsAndConditions#vor
dc.sourceHYDROLOGICAL PROCESSES
dc.source.urihttps://doi.org/10.1002/hyp.15002
dc.subjectapplied geophysics
dc.subjectHYDRUS 1D
dc.subjectVachellia caven
dc.subjectwater balance
dc.subjectwater transfer models
dc.subject.oecd21.5 Ciencias de la Tierra y relacionadas con el medio ambiente
dc.subject.oecd31.5.11 Oceanografía, Hidrología y Recursos del Agua
dc.titleEstimating soil water content in a thorny forest ecosystem by time-lapse electrical resistivity tomography (ERT) and HYDRUS 2D/3D simulations
dc.title.alternativeEstimating soil water content in a thorny forest ecosystem by time‐lapse electrical resistivity tomography (ERT) and HYDRUS 2D/3D simulations
dc.typejournal article
dc.type.coarhttp://purl.org/coar/resource_type/c_6501
dc.type.driverinfo:eu-repo/semantics/article
dc.udla.catalogadorCBM
oaire.citation.issue10
oaire.citation.titleHYDROLOGICAL PROCESSES
oaire.citation.volume37
oaire.fundingReference.awardNumber11230533
oaire.fundingReference.awardNumber1210932
oaire.fundingReference.funderNameAgencia Nacional de Investigación y Desarrollo (ANID)
udla.curacion.controljmvg
udla.oecd.area1 Ciencias Naturales
udla.oecd.discipline1.5.11 Oceanografía, Hidrología y Recursos del Agua
udla.oecd.subarea1.5 Ciencias de la Tierra y relacionadas con el medio ambiente

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