Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/115117
DC FieldValueLanguage
dc.contributorDepartment of Building and Real Estateen_US
dc.creatorNashat, Men_US
dc.creatorZayed, Ten_US
dc.creatorYang, Jen_US
dc.creatorArimiyaw, Den_US
dc.date.accessioned2025-09-09T07:41:26Z-
dc.date.available2025-09-09T07:41:26Z-
dc.identifier.issn2095-2201en_US
dc.identifier.urihttp://hdl.handle.net/10397/115117-
dc.language.isoenen_US
dc.publisherHigher Education Pressen_US
dc.subjectConcrete sewersen_US
dc.subjectCorrosion prediction modelen_US
dc.subjectHydrogen sulfideen_US
dc.subjectMitigation approachesen_US
dc.subjectSewer corrosion factorsen_US
dc.subjectSewer pipelinesen_US
dc.titleComprehensive insights into sewer corrosion : interlinked factors, prediction models, and mitigation approachesen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume19en_US
dc.identifier.issue12en_US
dc.identifier.doi10.1007/s11783-025-2079-3en_US
dcterms.abstractSewer corrosion is a critical issue that significantly threatens sewer systems, contributing to approximately 40% of sewer infrastructure deterioration. Although numerous review studies have been conducted in this field, gaps persist in identifying the complex factors driving corrosion and understanding their interrelationships. These deficiencies impede the development of accurate corrosion prediction models and the identification of more effective mitigation strategies. This research aims to deepen the understanding of the underlying causes of sewer corrosion, evaluate the latest advancements in prediction models, and explore current mitigation techniques. A novel hybrid approach is employed, combining bibliometric, scientometric, and systematic analysis. While widely used in other fields, this methodology is new in sewer corrosion. The key findings of this study include a comprehensive identification of the various factors influencing corrosion, an overview of existing corrosion prediction models, and an evaluation of currently employed mitigation strategies. Additionally, this research highlights critical research gaps and suggests future avenues for investigation, with the potential to support municipalities in more efficient and flexible management of sewer infrastructure.en_US
dcterms.accessRightsembargoed accessen_US
dcterms.bibliographicCitationFrontiers of environmental science and engineering, Dec. 2025, v. 19, no. 12, 159en_US
dcterms.isPartOfFrontiers of environmental science and engineeringen_US
dcterms.issued2025-12-
dc.identifier.eissn2095-221Xen_US
dc.identifier.artn159en_US
dc.description.validate202509 bcchen_US
dc.description.oaNot applicableen_US
dc.identifier.FolderNumbera4004-
dc.identifier.SubFormID51903-
dc.description.fundingSourceRGCen_US
dc.description.pubStatusPublisheden_US
dc.date.embargo2026-09-09en_US
dc.description.oaCategoryGreen (AAM)en_US
Appears in Collections:Journal/Magazine Article
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Embargo End Date 2026-09-09
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