Detecting soil water redistribution in subsurface drip irrigated processing tomatoes using electrical resistivity tomography, proximal sensing and hydrological modelling

In this study, multiple soil-plant-atmosphere continuum (SPAC) monitoring methodologies, including electrical resistivity tomography (ERT), proximal thermal sensing techniques, and micrometeorological data, were combined with two-dimensional (2-D) soil hydrological modelling using HYDRUS 2-D to expl...

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Autores: Raij-Hoffman, Iael, Vanella, Daniela, Ramírez-Cuesta, Juan Miguel, Rao Peddinti, Srinivasa, Kisekka, Isaya
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2024
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/362379
Acceso en línea:http://hdl.handle.net/10261/362379
Access Level:acceso abierto
Palabra clave:Soil-plant-atmosphere continuum
Soil moisture
ERT tomography
Soil hydrological modelling
Subsurface drip irrigation
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spelling Detecting soil water redistribution in subsurface drip irrigated processing tomatoes using electrical resistivity tomography, proximal sensing and hydrological modellingRaij-Hoffman, IaelVanella, DanielaRamírez-Cuesta, Juan MiguelRao Peddinti, SrinivasaKisekka, IsayaSoil-plant-atmosphere continuumSoil moistureERT tomographySoil hydrological modellingSubsurface drip irrigationIn this study, multiple soil-plant-atmosphere continuum (SPAC) monitoring methodologies, including electrical resistivity tomography (ERT), proximal thermal sensing techniques, and micrometeorological data, were combined with two-dimensional (2-D) soil hydrological modelling using HYDRUS 2-D to explore the soil water redistribution, and infer the relative crop water status in a subsurface drip irrigated (SDI) processing tomato field located in California (Yolo County, USA). Specifically, time-lapse ERT surveys were performed at two transects distributed parallel and perpendicular, respectively, to the SDI line, during an irrigation event. The ERT results were compared to HYDRUS 2-D outputs and the relative differences were explained in the form of local heterogeneities in electrical resistivity (ER) changes, as a proxy for soil water content (SWC) variations. Concurrent simultaneous soil wetting and root water uptake during the last irrigation event of the season caused negligible changes in ER in the active root zone. Slight differences in ER were observed in the top 20 cm along the dripline, confirming that the emitter spacing is small enough to create a wetted strip along the processing tomato bed. These changes were also compared to SWC values measured with time domain reflectometry soil moisture sensors. A comparison between HYDRUS 2-D and ERT confirmed negligible changes in ER during irrigation due to simultaneous wetting and root water uptake processes. In addition, a good correlation was observed between the proximal sensed and the ERT results. Finally, the findings of this study underscore the necessity of using multiple methods for improving our knowledge of the SPAC system under real field conditions.This study was supported by USDA NIFA Award # 2021-68012-35914, and by the projects “E-STRESS” (TED2021–131448A-I00), funded by MCIN/AEI/10.13039/501100011033 and the European Union NextGenerationEU/PRTR, and “DigitalRiego” (INNEST/2022/63) financed by the Agencia Valenciana de la Innovación (AVI) and the European Union (ERDF). We are grateful to the Button and Turkovich Farms for allowing us to conduct research on their farm.Peer reviewedElsevierEuropean CommissionAgència Valenciana de la InnovacióConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202420242024info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10261/362379reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)InglésThe underlying dataset has been published as supplementary material of the article in the publisher platform at DOI https://doi.org/10.1016/j.scitotenv.2023.169620https://doi.org/10.1016/j.scitotenv.2023.169620Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3623792026-05-22T06:33:51Z
dc.title.none.fl_str_mv Detecting soil water redistribution in subsurface drip irrigated processing tomatoes using electrical resistivity tomography, proximal sensing and hydrological modelling
title Detecting soil water redistribution in subsurface drip irrigated processing tomatoes using electrical resistivity tomography, proximal sensing and hydrological modelling
spellingShingle Detecting soil water redistribution in subsurface drip irrigated processing tomatoes using electrical resistivity tomography, proximal sensing and hydrological modelling
Raij-Hoffman, Iael
Soil-plant-atmosphere continuum
Soil moisture
ERT tomography
Soil hydrological modelling
Subsurface drip irrigation
title_short Detecting soil water redistribution in subsurface drip irrigated processing tomatoes using electrical resistivity tomography, proximal sensing and hydrological modelling
title_full Detecting soil water redistribution in subsurface drip irrigated processing tomatoes using electrical resistivity tomography, proximal sensing and hydrological modelling
title_fullStr Detecting soil water redistribution in subsurface drip irrigated processing tomatoes using electrical resistivity tomography, proximal sensing and hydrological modelling
title_full_unstemmed Detecting soil water redistribution in subsurface drip irrigated processing tomatoes using electrical resistivity tomography, proximal sensing and hydrological modelling
title_sort Detecting soil water redistribution in subsurface drip irrigated processing tomatoes using electrical resistivity tomography, proximal sensing and hydrological modelling
dc.creator.none.fl_str_mv Raij-Hoffman, Iael
Vanella, Daniela
Ramírez-Cuesta, Juan Miguel
Rao Peddinti, Srinivasa
Kisekka, Isaya
author Raij-Hoffman, Iael
author_facet Raij-Hoffman, Iael
Vanella, Daniela
Ramírez-Cuesta, Juan Miguel
Rao Peddinti, Srinivasa
Kisekka, Isaya
author_role author
author2 Vanella, Daniela
Ramírez-Cuesta, Juan Miguel
Rao Peddinti, Srinivasa
Kisekka, Isaya
author2_role author
author
author
author
dc.contributor.none.fl_str_mv European Commission
Agència Valenciana de la Innovació
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Soil-plant-atmosphere continuum
Soil moisture
ERT tomography
Soil hydrological modelling
Subsurface drip irrigation
topic Soil-plant-atmosphere continuum
Soil moisture
ERT tomography
Soil hydrological modelling
Subsurface drip irrigation
description In this study, multiple soil-plant-atmosphere continuum (SPAC) monitoring methodologies, including electrical resistivity tomography (ERT), proximal thermal sensing techniques, and micrometeorological data, were combined with two-dimensional (2-D) soil hydrological modelling using HYDRUS 2-D to explore the soil water redistribution, and infer the relative crop water status in a subsurface drip irrigated (SDI) processing tomato field located in California (Yolo County, USA). Specifically, time-lapse ERT surveys were performed at two transects distributed parallel and perpendicular, respectively, to the SDI line, during an irrigation event. The ERT results were compared to HYDRUS 2-D outputs and the relative differences were explained in the form of local heterogeneities in electrical resistivity (ER) changes, as a proxy for soil water content (SWC) variations. Concurrent simultaneous soil wetting and root water uptake during the last irrigation event of the season caused negligible changes in ER in the active root zone. Slight differences in ER were observed in the top 20 cm along the dripline, confirming that the emitter spacing is small enough to create a wetted strip along the processing tomato bed. These changes were also compared to SWC values measured with time domain reflectometry soil moisture sensors. A comparison between HYDRUS 2-D and ERT confirmed negligible changes in ER during irrigation due to simultaneous wetting and root water uptake processes. In addition, a good correlation was observed between the proximal sensed and the ERT results. Finally, the findings of this study underscore the necessity of using multiple methods for improving our knowledge of the SPAC system under real field conditions.
publishDate 2024
dc.date.none.fl_str_mv 2024
2024
2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/362379
url http://hdl.handle.net/10261/362379
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv The underlying dataset has been published as supplementary material of the article in the publisher platform at DOI https://doi.org/10.1016/j.scitotenv.2023.169620
https://doi.org/10.1016/j.scitotenv.2023.169620

dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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