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Decision-support groundwater modelling of managed aquifer recharge in a Coastal Aquifer in South Portugal

dc.contributor.authorStanden, Kathleen
dc.contributor.authorHugman, Rui
dc.contributor.authorMonteiro, José Paulo
dc.date.accessioned2022-11-25T14:09:07Z
dc.date.available2022-11-25T14:09:07Z
dc.date.issued2022
dc.description.abstractThe Vale do Lobo sector of the Campina de Faro aquifer system in the Algarve (Portugal) is at risk of seawater intrusion. Managed Aquifer Recharge (MAR) is being considered to avoid groundwater quality deterioration. Numerical modelling was undertaken to assess the feasibility of several proposed MAR schemes. Although some data is available, many aspects of system behaviour are not well understood or measured. We demonstrate the use of a structurally simple but parametrically complex model for decision-making in a coastal aquifer. Modelling was designed to facilitate uncertainty reduction through data assimilation where possible, whilst acknowledging that which remains unknown elsewhere. Open-source software was employed throughout, and the workflow was scripted (reproducible). The model was designed to be fast-running (rapid) and numerically stable to facilitate data assimilation and represent prediction-pertinent uncertainty (robust). Omitting physical processes and structural detail constrains the type of predictions that can be made. This was addressed by assessing the effectiveness of MAR at maintaining the fresh-seawater interface (approximated using the Ghyben-Herzberg relationship) below specified thresholds. This enabled the use of a constant-density model, rather than attempting to explicitly simulating the interaction between fresh and seawater. Although predictive uncertainty may be increased, it is outweighed by the ability to extract information from the available data. Results show that, due to the limit on water availability and the continued groundwater extraction at unsustainable rates, only limited improvements in hydraulic heads can be achieved with the proposed MAR schemes. This is an important finding for decision-makers, as it indicates that a considerable reduction in extraction in addition to MAR will be required. Our approach identified these limitations, avoiding the need for further data collection, and demonstrating the value of purposeful model design.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.3389/feart.2022.904271pt_PT
dc.identifier.eissn2296-6463
dc.identifier.urihttp://hdl.handle.net/10400.1/18543
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherFrontiers Mediapt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectUncertaintypt_PT
dc.subjectData-assimilationpt_PT
dc.subjectComplexitypt_PT
dc.subjectMAR (managed aquifer recharge)pt_PT
dc.subjectNumerical modellingpt_PT
dc.titleDecision-support groundwater modelling of managed aquifer recharge in a Coastal Aquifer in South Portugalpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.titleFrontiers in Earth Sciencept_PT
oaire.citation.volume10pt_PT
person.familyNameStanden
person.familyNameMonteiro
person.givenNameKathleen
person.givenNameJosé Paulo
person.identifier.ciencia-idE815-43D5-87FA
person.identifier.ciencia-idD312-D1AF-5C07
person.identifier.orcid0000-0002-2980-960X
person.identifier.orcid0000-0002-1969-7480
person.identifier.scopus-author-id55839822400
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication8929e24a-c3d7-4c35-9854-2c0a94a80ecf
relation.isAuthorOfPublication8dc8b0c4-e3bd-4e0c-b01d-ba80113f1ddc
relation.isAuthorOfPublication.latestForDiscovery8dc8b0c4-e3bd-4e0c-b01d-ba80113f1ddc

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