Comprehensive insights into sewer corrosion: interlinked factors, prediction models, and mitigation approaches

Mohamed Nashat , Tarek Zayed , Jingchao Yang , Dramani Arimiyaw

Front. Environ. Sci. Eng. ›› 2025, Vol. 19 ›› Issue (12) : 159

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Front. Environ. Sci. Eng. ›› 2025, Vol. 19 ›› Issue (12) : 159 DOI: 10.1007/s11783-025-2079-3
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Comprehensive insights into sewer corrosion: interlinked factors, prediction models, and mitigation approaches

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Abstract

Sewer 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.

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Keywords

Sewer corrosion factors / Concrete sewers / Hydrogen sulfide / Corrosion prediction model / Sewer pipelines / Mitigation approaches

Highlight

● Sewer corrosion factors, models, and mitigation methods were reviewed.

● Interrelationships among corrosion factors were clearly identified.

● AI-based models for predicting sewer corrosion were critically evaluated.

● Novel mitigation approaches, including concrete and microbial solutions, were shown.

● Research gaps were identified, and future directions were proposed.

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Mohamed Nashat, Tarek Zayed, Jingchao Yang, Dramani Arimiyaw. Comprehensive insights into sewer corrosion: interlinked factors, prediction models, and mitigation approaches. Front. Environ. Sci. Eng., 2025, 19(12): 159 DOI:10.1007/s11783-025-2079-3

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