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Assessing soil salinity dynamics using time-lapse electromagnetic conductivity imaging

2020Journal article Open access
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dc.contributor.authorPaz, Maria Catarina
dc.contributor.authorFarzamian, Mohammad
dc.contributor.authorPaz, Ana Marta
dc.contributor.authorCastanheira, Nádia Luísa
dc.contributor.authorGonçalves, Maria Conceição
dc.contributor.authorSantos, Fernando Monteiro
dc.date.accessioned2021-04-07T10:52:27Z
dc.date.available2021-04-07T10:52:27Z
dc.date.issued2020
dc.description.abstractLezíriaGrandedeVilaFrancadeXira,locatedinPortugal,isanimportantagriculturalsystemwhere soil faces the risk of salinization due to climate change, as the level and salinity of groundwater are likely to increase as a result of the rise of the sea water level and consequently of the estuary. These changes can also affect the salinity of the irrigation water which is collected upstream of the estuary. Soil salinity can be assessed over large areas by the following rationale: (1) use of electromagnetic induction (EMI) to measure the soil appar- ent electrical conductivity (ECa, mS m−1); (2) inversion of ECa to obtain electromagnetic conductivity imaging (EMCI) which provides the spatial distribution of the soil electrical conductivity (σ,mSm−1); (3) calibration process consisting of a regression between σ and the electrical conductivity of the saturated soil paste extract (ECe, dS m−1), used as a proxy for soil salinity; and (4) conversion of EMCI into salinity cross sections using the obtained calibration equation. In this study, EMI surveys and soil sampling were carried out between May 2017 and October 2018 at four locations with different salinity levels across the study area of Lezíria de Vila Franca. A previously developed regional calibration was used for predicting ECe from EMCI. Using time-lapse EMCI data, this study aims (1) to evaluate the ability of the regional calibration to predict soil salinity and (2) to perform a preliminary qualitative analysis of soil salinity dynamics in the study area. The validation analysis showed that ECe was predicted with a root mean square error (RMSE) of 3.14 dS m−1 in a range of 52.35 dS m−1, slightly overesti- mated (−1.23 dS m−1), with a strong Lin’s concordance correlation coefficient (CCC) of 0.94 and high linearity between measured and predicted data (R2 = 0.88). It was also observed that the prediction ability of the regional calibration is more influenced by spatial variability of data than temporal variability of data. Soil salinity cross sections were generated for each date and location of data collection, revealing qualitative salinity fluctuations related to the input of salts and water either through irrigation, precipitation, or level and salinity of groundwater. Time-lapse EMCI is developing into a valid methodology for evaluating the risk of soil salinization, so it can further support the evaluation and adoption of proper agricultural management strategies, especially in irrigated areas, where continuous monitoring of soil salinity dynamics is required.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationPaz, M.C., Farzamian, Paz, A.M., Castanheira, N.L., Gonçalves, M.C. & Monteiro Santos, F. (2020). Assessing soil salinity dynamics using time-lapse electromagnetic conductivity imaging. Soil, 6, 499–511.pt_PT
dc.identifier.doi10.5194/soil-6-499-2020pt_PT
dc.identifier.eissn2199-3998
dc.identifier.urihttp://hdl.handle.net/10400.26/36130
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relationSalinization in irrigated areas: risk evaluation and prevention
dc.relationSustainable use of soil and water for improving crops productivity in irrigated areas
dc.titleAssessing soil salinity dynamics using time-lapse electromagnetic conductivity imagingpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleSalinization in irrigated areas: risk evaluation and prevention
oaire.awardTitleSustainable use of soil and water for improving crops productivity in irrigated areas
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/ARIMNET2%2F0004%2F2015/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/ARIMNET2%2F0005%2F2015/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/PTDC%2FASP-SOL%2F28796%2F2017/PT
oaire.fundingStream3599-PPCDT
oaire.fundingStream3599-PPCDT
oaire.fundingStream3599-PPCDT
person.familyNameCustódio da Paz
person.givenNameMaria Catarina
person.identifier.ciencia-id3B1E-D7FD-6BB8
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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relation.isAuthorOfPublication.latestForDiscovery1418ab55-2deb-4693-9a61-6ff733ac06f9
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