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Field-scale assessment of soil water dynamics using distributed modeling and electromagnetic conductivity imaging

dc.contributor.authorRamos, Tiago B.
dc.contributor.authorOliveira, Ana R.
dc.contributor.authorDarouich, Hanaa
dc.contributor.authorGonçalves, Maria C.
dc.contributor.authorMartínez Moreno, Francisco José
dc.contributor.authorRamos Rodríguez, Mario
dc.contributor.authorVanderlinden, Karl
dc.contributor.authorFarzamian, Mohammad
dc.date.accessioned2023-10-09T17:41:44Z
dc.date.available2023-10-09T17:41:44Z
dc.date.issued2023-10-01
dc.description.abstractKnowledge of the soil water balance is fundamental for improving crop water use in agricultural fields. Estimates are normally for representative and homogeneous areas where the variability of soil properties is neglected. However, this variability significantly impacts soil water dynamics at the field scale. In this study, the MOHID-Land distributed process-based model was used to compute the spatially explicit soil water dynamics in a 22.6-ha almond field located in southern Portugal. An electromagnetic induction survey was first performed to obtain electromagnetic images of the real soil conductivity in depth, which were related to soil texture. Then, pedotransfer functions were used to convert soil texture into soil hydraulic data. MOHID-Land results included maps of the spatial distribution of soil water contents, actual crop transpiration, actual soil evaporation, percolation below the rootzone, and surface runoff. These allowed identifying preferential flow pathways as well as the main control factors influencing soil water dynamics at the field scale. Some development needs were identified, and overcoming them would enhance the significance of contributions such as this study to the field of precision agriculture.
dc.description.departmentDepto. de Mineralogía y Petrología
dc.description.facultyFac. de Ciencias Geológicas
dc.description.refereedTRUE
dc.description.sponsorshipFCT/MCTES (PIDDAC)
dc.description.statuspub
dc.identifier.doi10.1016/j.agwat.2023.108472
dc.identifier.issn0378-3774
dc.identifier.officialurlhttps://doi.org/10.1016/j.agwat.2023.108472
dc.identifier.relatedurlhttps://www.sciencedirect.com/science/article/pii/S0378377423003372
dc.identifier.urihttps://hdl.handle.net/20.500.14352/88231
dc.issue.number108472
dc.journal.titleAgricultural Water Management
dc.language.isoeng
dc.publisherElsevier
dc.relation.projectIDUIDP/EEA/50009/2020
dc.relation.projectIDPTDC/ASP-SOL/28796/2017
dc.relation.projectID2022.03921. PTDC
dc.relation.projectIDCEECIND/01152/2017
dc.relation.projectIDCEECIND/01153/2017
dc.rightsAttribution-NonCommercial 4.0 Internationalen
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/
dc.subject.cdu551.579
dc.subject.keywordIrrigation water management
dc.subject.keywordPedotransfer functions
dc.subject.keywordSoil water balance
dc.subject.keywordSoil variability
dc.subject.keywordThree-dimensional modeling
dc.subject.ucmHidrología
dc.subject.unesco2508.13 Humedad del Suelo
dc.titleField-scale assessment of soil water dynamics using distributed modeling and electromagnetic conductivity imaging
dc.typejournal article
dc.type.hasVersionVoR
dc.volume.number288
dspace.entity.typePublication
relation.isAuthorOfPublication9412d0a9-9393-4cd1-bc84-fd035b5ad2e1
relation.isAuthorOfPublication.latestForDiscovery9412d0a9-9393-4cd1-bc84-fd035b5ad2e1

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