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Study of the requirements of an autonomous system for surface water quality monitoring

datacite.subject.fosCiências Naturais::Ciências da Terra e do Ambiente
datacite.subject.fosEngenharia e Tecnologia::Engenharia do Ambiente
datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
datacite.subject.sdg02:Erradicar a Fome
datacite.subject.sdg06:Água Potável e Saneamento
datacite.subject.sdg07:Energias Renováveis e Acessíveis
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
dc.contributor.authorBarros, M.
dc.contributor.authorGranchinho, P.
dc.contributor.authorFerreira, C.
dc.contributor.authorNeves, P.
dc.contributor.authorMagalhães, H.
dc.contributor.authorSantos, L.
dc.contributor.authorLopes, B.
dc.contributor.authorMarques, J.
dc.contributor.authorPinho, H.
dc.contributor.authorMourato, Sandra
dc.date.accessioned2025-11-20T14:44:39Z
dc.date.available2025-11-20T14:44:39Z
dc.date.issued2024-01-12
dc.description.abstractIn recent years, there has been increasing awareness of the preservation, protection and sustainable use of natural resources. Water resources, being one of the most important natural resources, face major threats due to contamination by pollutants of various types and origins. Maintaining the quality of water resources requires more robust, reliable and more frequent monitoring than traditional techniques of data collection based on sporadic, discontinuous and manual processes. The management of large geographical areas, the insufficient spatiotemporal discretization of the values of samples collected by traditional processes and the unpredictability of natural phenomena, require a new approach to data collection procedures. This article, which is the result of ongoing research, defines the technical requirements and technologies used in a continuous and regular monitoring of surface water quality in freshwater systems, whose data acquisition system helps to identify the sources of pollution and the contaminants flow along the waterways. The design of a versatile real-time water quality monitoring system, which, due to its environmental constraints should be based on renewable energies and wireless transfer of energy, will contribute to improve the management and effective protection of water resources.eng
dc.description.sponsorshipThis work was supported by Centro2020, Portugal 2020 and European Union (EU) under the grants, CENTRO-01- 0145-FEDER-024052E – Libélula: Mobile robotic surface water quality monitoring system.
dc.identifier.citationBarros, M., Granchinho, P., Ferreira, C., Neves, P., Magalhães, H., Santos, L., Lopes, B., Marques, J., Pinho, H., Mourato, S., & Martins, A. (2019). Study of the requirements of an autonomous system for surface water quality monitoring. Renewable Energy and Power Quality Journal, 17(3), 399-404. https://doi.org/10.24084/repqj17.323
dc.identifier.doi10.24084/repqj17.323
dc.identifier.issn2172-038X
dc.identifier.urihttp://hdl.handle.net/10400.8/14691
dc.language.isoeng
dc.peerreviewedyes
dc.publisherUK Zhende Publishing Limited Company
dc.relation.hasversionhttps://repqj.com/index.php/repqj/article/view/960
dc.relation.ispartofRE&PQJ
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectWater quality monitoring
dc.subjectWireless sensor networks
dc.subjectWireless charging
dc.subjectAutonomous vehicles
dc.subjectEnvironment protection
dc.titleStudy of the requirements of an autonomous system for surface water quality monitoringeng
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage404
oaire.citation.issue3
oaire.citation.startPage399
oaire.citation.titleRenewable Energy and Power Quality Journal
oaire.citation.volume17
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameMourato
person.givenNameSandra
person.identifier.ciencia-idC81B-16CD-EDFE
person.identifier.orcid0000-0001-9545-2584
person.identifier.scopus-author-id56387285400
relation.isAuthorOfPublication66af47bd-4c47-48ec-8f3a-f6ce092514db
relation.isAuthorOfPublication.latestForDiscovery66af47bd-4c47-48ec-8f3a-f6ce092514db

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