Recent advances in sensing and assessment of corrosion in sewage pipelines

Sahar Foorginezhad, Masoud Mohseni-Daragh, Khadijeh Firoozirad, Vahid Aryai, Amir Razmjou, Rouzbeh Abbassi, Vikram Garaniya, Amin Beheshti, Mohsen Asadnia*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

73 Citations (Scopus)


Corrosion is known as the gradual destruction of materials, leading to structural integrity loss and deteriorates the surface function. Regarding sewage pipelines, corrosion is vital due to its substantial financial, health, and safety costs for society, and it is considered as one of the biggest problems facing water and wastewater infrastructure. Also, it is the primary cause of chemical property alteration, efficiency loss, life span reduction, etc. To overcome the resulting problems, various researches have been performed to understand not only the effective parameters leading to corrosion in sewer pipes but also monitoring the infrastructure conditions. Studies have depicted that developments in sensing systems to detect effective parameters in pipe corrosion such as temperature, H2S, and pH, have significantly reduced damage to the industrial equipment of sewage pipelines caused by corrosion. This paper presents a critical review of the effective factors resulting in sewer pipeline corrosion and discusses advanced sensing systems utilized for relevant monitoring. Also, microbiologically induced corrosion and effective factors are individually discussed. Moreover, various data analysis techniques adopted to evaluate outputs of the sensors for corrosion prediction have been explored. Finally, recommendations and future directions for improving sensing accuracy and robustness are detailed.
Original languageEnglish
Pages (from-to)192-213
Number of pages22
JournalProcess Safety and Environmental Protection
Early online date10 Sept 2020
Publication statusPublished - 1 Mar 2021


  • Corrosion sensor
  • Structural health monitoring
  • Humidity sensor
  • pH sensor
  • Sewer pipelines
  • H₂S detection
  • Data processing


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