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Prediction of short- and long-term atmospheric corrosion in the changing low pollution climate for inland and coastal areas

  • Yikun Cai
  • , Yu Zhao
  • , Qian Chen
  • , Xiaobing Ma*
  • , Songhua Hao*
  • , Kun Zhou
  • *Corresponding author for this work
  • School of Aeronautics and Astronautics
  • Beihang University
  • Chongqing Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

This paper studies the impact of the changing climate on atmospheric corrosion loss in the future low pollution environment. Two climate change scenarios (SSP1- 2.6 and SSP5-8.5) are studied and they reveal a warmer environment with decreasing sulphur dioxide contamination and slightly changed relative humidity and precipitation from 2010 to 2100. As a consequence, environment corrosivity is both enhanced by increased time-of-wetness and weakened by decreased sulphur dioxide deposition rate. To consider the low pollution environment in the future changing climate, a relative error minimized short-term corrosion model and a re-scaled power-linear long-term corrosion model are proposed. Corrosion loss evaluation results show that, on the overall scale which is mainly representative of remote rural areas, first-year corrosion loss C of different metals under the two SSPs has different trends. On the regional scale of urban and marine areas with high SO2 or Cl levels, C will decrease continuously under both SSPs for all three metals. The long-term corrosion loss will also decrease as the environment continues to be less and less corrosive.

Original languageEnglish
Pages (from-to)549-568
Number of pages20
JournalCorrosion Reviews
Volume43
Issue number5
DOIs
StatePublished - 9 Dec 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities
  2. SDG 13 - Climate Action
    SDG 13 Climate Action
  3. SDG 14 - Life Below Water
    SDG 14 Life Below Water

Keywords

  • atmospheric corrosion loss
  • climate change
  • environment corrosivity
  • low pollution environment
  • relative error minimization

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