Skip to main content

Advertisement

SpringerLink
Log in

Prediction of tempo-spatial patterns and exceedance probabilities of atmospheric corrosion of Q235 carbon steel across China

  • Research Article
  • Published:
Environmental Science and Pollution Research Aims and scope Submit manuscript

Abstract

To reduce the losses caused by the atmospheric corrosion of carbon steels, it is important to establish a prediction model to determine the corrosion rate of carbon steels in natural environments. In this study, a prediction model of atmospheric corrosion of Q235 carbon steel (PMACC-Q235) in China was established by coupling the mean impact value algorithm and back propagation artificial neural network. Tempo-spatial patterns of corrosion rates in five long-exposure time categories across China were analyzed. Ten main factors affecting the atmospheric corrosion of Q235 were identified. The corrosion rates in a single year were similar (approximately 30 μm/a) and larger than those for 2 (25.30 μm/a) and 3 years (21.66 μm/a). The spatial corrosion rates in the northwestern areas were primarily lower than those in southeastern coastal areas. This could be influenced by climatic factors, such as temperature, humidity, and precipitation. All corrosion rates reached the C2 level (>1.3 μm/a), and there was some possibility that they reached higher corrosion levels. The largest probability for the C3 level in all periods was an average of 0.91, and that for the C4 level was 0.83. Spatially, higher probabilities were mainly located in the southern area, especially in Hainan, located in the south and surrounded by sea. Corrosion rates largely varied among climatic zones, and mean corrosion rates in the tropical monsoon climate zone were the largest (average of three periods 33.39 μm/a). SO2 and soluble-dust fall had the largest impact on the variations in the corrosion rates among different climatic zones.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

References

  • Aliyu G, Luo J, Di HJ, Lindsey S, Liu D, Yuan J, Chen Z, Lin Y, He T, Zaman M (2019) Nitrous oxide emissions from China's croplands based on regional and crop-specific emission factors deviate from IPCC 2006 estimates. Sci Total Environ 669:547–558

    Article  CAS  Google Scholar 

  • Bade R, Bijlsma L, Miller TH, Barron LP, Sancho JV, Hernández F (2015) Suspect screening of large numbers of emerging contaminants in environmental waters using artificial neural networks for chromatographic retention time prediction and high resolution mass spectrometry data analysis. Sci Total Environ 538:934–941

    Article  CAS  Google Scholar 

  • Berens AS, Diem J, Stauber C, Dai D, Foster S, Rothenberg R (2017) The use of gamma-survey measurements to better understand radon potential in urban areas. Sci Total Environ 607:888–899

    Article  Google Scholar 

  • Boudiba S, Hanini K, Selatnia I, Saouane A, Hioun S, Benahmed M (2019) Experimental, theoretical and mathematical studies of Echium italicum L. extract as a corrosion inhibitor for carbon steel in acidic medium. Materials Research Express 6:086546

    Article  CAS  Google Scholar 

  • Cai Y, Zhao Y, Ma X, Zhou K, Wang H (2019) Application of hierarchical linear modelling to corrosion prediction in different atmospheric environments. Corros Eng Sci Technol 54:266–275

    Article  CAS  Google Scholar 

  • Calabrese L, Brancato V, Paolomba V, Proverbio E (2019) An experimental study on the corrosion sensitivity of metal alloys for usage in PCM thermal energy storages. Renew Energy 138:1018–1027

    Article  CAS  Google Scholar 

  • Carstens D, Amer R (2019) Spatio-temporal analysis of urban changes and surface water quality. J Hydrol 569:720–734

    Article  CAS  Google Scholar 

  • Chauhan A, Sharma UK (2019) Influence of temperature and relative humidity variations on non-uniform corrosion of reinforced concrete. Structures 19:296–308

    Article  Google Scholar 

  • Chen T, Chang Q, Clevers J, Kooistra L (2015) Rapid identification of soil cadmium pollution risk at regional scale based on visible and near-infrared spectroscopy. Environ Pollut 206:217–226

    Article  CAS  Google Scholar 

  • Chen J, Ai S, Liu J, Yang H, Wang L, Zhu M, Fu D, Yang S, Ai X, Ai Y (2019) The life span and influencing factors of metal mesh in artificial soil on railway rock-cut slopes in humid areas. Sci Total Environ 671:41–51

    Article  CAS  Google Scholar 

  • Cheng X, Jin Z, Liu M, Li X (2017) Optimizing the nickel content in weathering steels to enhance their corrosion resistance in acidic atmospheres. Corros Sci 115:135–142

    Article  CAS  Google Scholar 

  • Chi Y, Shi H, Zheng W, Sun J (2018) Simulating spatial distribution of coastal soil carbon content using a comprehensive land surface factor system based on remote sensing. Sci Total Environ 628:384–399

    Article  Google Scholar 

  • Chiu C-K, Lyu Y-C, Jean W-Y (2014) Probability-based damage assessment for reinforced concrete bridge columns considering the corrosive and seismic hazards in Taiwan. Nat Hazards 71:2143–2164

    Article  Google Scholar 

  • Dong F, Liu Y, Su H, Zou R, Guo H (2015) Reliability-oriented multi-objective optimal decision-making approach for uncertainty-based watershed load reduction. Sci Total Environ 515:39–48

    Article  Google Scholar 

  • Dong Y, Wu N, Li F, Chen X, Zhang D, Zhang Y, Huang L, Wu B, Lu H (2019) Influence of monsoonal water-energy dynamics on terrestrial mollusk species-diversity gradients in northern China. Sci Total Environ 676:206–214

    Article  CAS  Google Scholar 

  • Dubey SK, Sharma D (2018) Assessment of climate change impact on yield of major crops in the Banas River Basin, India. Sci Total Environ 635:10–19

    Article  CAS  Google Scholar 

  • Ducci D, de Melo MTC, Preziosi E, Sellerino M, Parrone D, Ribeiro L (2016) Combining natural background levels (NBLs) assessment with indicator kriging analysis to improve groundwater quality data interpretation and management. Sci Total Environ 569:569–584

    Article  Google Scholar 

  • Emenike CP, Tenebe IT, Jarvis P (2018) Fluoride contamination in groundwater sources in Southwestern Nigeria: Assessment using multivariate statistical approach and human health risk. Ecotoxicol Environ Saf 156:391–402

    Article  CAS  Google Scholar 

  • Fan H, Xuan J, Du X, Liu N, Jiang J (2018a) Antitumor component recognition from the Aconiti Lateralis Radix Praeparata and Glycyrrhizae Radix et Rhizoma herb pair extract by chemometrics and mean impact value. RSC Adv 8:39602–39610

    Article  CAS  Google Scholar 

  • Fan H, Xuan J, Zhang K, Jiang J (2018b) Anticancer component identification from the extract of Dysosma versipellis and Glycyrrhiza uralensis based on support vector regression and mean impact value. Anal Methods 10:371–380

    Article  CAS  Google Scholar 

  • Fang X, Guo X, Zhang C, Shao H, Zhu S, Li Z, Feng X, He B (2019) Contributions of climate change to the terrestrial carbon stock of the arid region of China: a multi-dataset analysis. Sci Total Environ 668:631–644

    Article  CAS  Google Scholar 

  • Fernandes DM, Squissato AL, Lima AF, Richter EM, Munoz RA (2019) Corrosive character of Moringa oleifera Lam biodiesel exposed to carbon steel under simulated storage conditions. Renew Energy

  • Fernández AG, Pineda F, Walczak M, Cabeza LF (2019) Corrosion evaluation of alumina-forming alloys in carbonate molten salt for CSP plants. Renew Energy 140:227–233

    Article  Google Scholar 

  • Gorgij AD, Kisi O, Moayeri MM, Moghaddam AA (2018) Hydraulic conductivity estimation via the AI-based numerical model optimization using the harmony search algorithm. Hydrol Res 49:1669–1683

    Article  Google Scholar 

  • Guo M, Pan C, Wang C, Han W (2018) A study on the initial corrosion behavior of carbon steel exposed to a simulated coastal-industrial atmosphere. Acta Metall Sin 54:65–75

    CAS  Google Scholar 

  • Gürten AA, Keleş H, Bayol E, Kandemirli F (2015) The effect of temperature and concentration on the inhibition of acid corrosion of carbon steel by newly synthesized Schiff base. J Ind Eng Chem 27:68–78

    Article  Google Scholar 

  • Halama M, Kreislova K, Van Lysebettens J (2011) Prediction of atmospheric corrosion of carbon steel using artificial neural network model in local geographical regions. Corrosion 67:065004-065001–065004-065006

    Article  Google Scholar 

  • Hei M, Xia D-H, Song S-Z, Gao Z-M (2017) Sensing atmospheric corrosion of carbon steel and low-alloy steel using the electrochemical noise technique: effects of weather conditions. Protection of Metals and Physical Chemistry of Surfaces 53:1100–1113

    Article  Google Scholar 

  • Hołowaty J (2017) Properties of high tensile steels in historical railway bridges. Proceedings of the Institution of Civil Engineers-Construction Materials 171:234–245

    Article  Google Scholar 

  • Hughes L, Bristow N, Korochkina T, Sanchez P, Gomez D, Kettle J, Gethin D (2018) Assessing the potential of steel as a substrate for building integrated photovoltaic applications. Appl Energy 229:209–223

    Article  Google Scholar 

  • Karlén C, Wallinder IO, Heijerick D, Leygraf C, Janssen C (2001) Runoff rates and ecotoxicity of zinc induced by atmospheric corrosion. Sci Total Environ 277:169–180

    Article  Google Scholar 

  • Karlsson S, Larsson E, Jonsson Tr, Svensson J-E, Liske J (2016) A Laboratory Study of the in Situ Sulfation of Alkali Chloride Rich Deposits: Corrosion Perspective. Energy Fuel 30:7256–7267

    Article  CAS  Google Scholar 

  • Kim MK, Cha J, Lee E, Pham VH, Lee S, Theera-Umpon N (2019) Simplified neural network model design with sensitivity analysis and electricity consumption prediction in a commercial building. Energies 12:1201

    Article  Google Scholar 

  • Kovalov D, Fekete B, Engelhardt GR, Macdonald DD (2019) Part II: Effect of Electrochemical Potential, NaCl Concentration, and Temperature on Crack Propagation in AA2024-T351. Corros Sci

  • Kumar P, Imam B (2013) Footprints of air pollution and changing environment on the sustainability of built infrastructure. Sci Total Environ 444:85–101

    Article  CAS  Google Scholar 

  • Kutuzov S, Thompson LG, Lavrentiev I, Tian L (2018) Ice thickness measurements of Guliya ice cap, western Kunlun Mountains (Tibetan Plateau), China. J Glaciol 64:977–989

    Article  Google Scholar 

  • Lan TTN, Nishimura R, Tsujino Y, Satoh Y, Thoa NTP, Yokoi M, Maeda Y (2005) The effects of air pollution and climatic factors on atmospheric corrosion of marble under field exposure. Corros Sci 47:1023–1038

    Article  CAS  Google Scholar 

  • Li Q, Wang Z, Han W, Han (2009) Review on atmospheric corrosion of weathering and carbon steels. Journal of Chinese Society for Corrosion and Protection 29:394–400

    CAS  Google Scholar 

  • Li H, Zhong Z, Li L, Gao R, Cui J, Gao T, Hu LH, Lu Y, Su ZM, Li H (2015) A cascaded QSAR model for efficient prediction of overall power conversion efficiency of all-organic dye-sensitized solar cells. J Comput Chem 36:1036–1046

    Article  CAS  Google Scholar 

  • Li S, Kazemi H, Rockaway TD (2019) Performance assessment of stormwater GI practices using artificial neural networks. Sci Total Environ 651:2811–2819

    Article  CAS  Google Scholar 

  • Liang C-P, Chen J-S, Chien Y-C, Chen C-F (2018) Spatial analysis of the risk to human health from exposure to arsenic contaminated groundwater: a kriging approach. Sci Total Environ 627:1048–1057

    Article  CAS  Google Scholar 

  • Lim KH, Oh H-S, Jang S-E, Ko Y-J, Kim H-J, Kim H (2009) Effect of operating conditions on carbon corrosion in polymer electrolyte membrane fuel cells. J Power Sources 193:575–579

    Article  CAS  Google Scholar 

  • Liu Z, Wang W, Wang J, Peng X, Wang Y, Zhang P, Wang H, Gao C (2014) Study of corrosion behavior of carbon steel under seawater film using the wire beam electrode method. Corros Sci 80:523–527

    Article  CAS  Google Scholar 

  • Liu H, Xu D, Dao AQ, Zhang G, Lv Y, Liu H (2015) Study of corrosion behavior and mechanism of carbon steel in the presence of Chlorella vulgaris. Corros Sci 101:84–93

    Article  CAS  Google Scholar 

  • Liu C, Kubacki GW, Kelly RG (2018) Application of Laplace equation-based modeling into corrosion damage prediction for galvanic coupling between a zinc plate and stainless steel rods under a thin film electrolyte. Corrosion 75:465–473

    Article  Google Scholar 

  • Liu Q, Yang H, Liu M, Sun R, Zhang J (2019) An Integrated flood risk assessment model for cities located in the transitional zone between Taihang mountains and north China plain: a case study in Shijiazhuang, Hebei, China. Atmosphere 10:104

    Article  Google Scholar 

  • Liu Y, Zhao H, Wang C (2020) Initial corrosion behavior of carbon steel and weathing steel in Nansha marine atmosphere. Acta Metall Sin 56:1247–1254

    CAS  Google Scholar 

  • Ma Y, Li Y, Wang F (2010) The atmospheric corrosion kinetics of low carbon steel in a tropical marine environment. Corros Sci 52:1796–1800

    Article  CAS  Google Scholar 

  • Mendoza AR, Corvo F (1999) Outdoor and indoor atmospheric corrosion of carbon steel. Corros Sci 41:75–86

    Article  CAS  Google Scholar 

  • Mundhenk N, Knauss KG, Bandaru SR, Wonneberger R, Devine TM (2019) Corrosion of carbon steel and the passivating properties of corrosion films formed under high-PT geothermal conditions. Sci Total Environ 677:307–314

    Article  CAS  Google Scholar 

  • Piao S, Ciais P, Huang Y, Shen Z, Peng S, Li J, Zhou L, Liu H, Ma Y, Ding Y (2010) The impacts of climate change on water resources and agriculture in China. Nature 467:43

    Article  CAS  Google Scholar 

  • Popova A, Sokolova E, Raicheva S, Christov M (2003) AC and DC study of the temperature effect on mild steel corrosion in acid media in the presence of benzimidazole derivatives. Corros Sci 45:33–58

    Article  Google Scholar 

  • Portella MOG, Portella KF, Pereira PAM, Inone PC, Brambilla KJC, Cabussu MS, Cerqueira DP, Salles RN (2012) Atmospheric corrosion rates of copper, galvanized steel, carbon steel and aluminum in the metropolitan region of salvador, BA, northeast Brazil. Proc Eng 42:171–185

    Article  Google Scholar 

  • Qi M, Fu Z, Chen F (2016) Research on a feature selection method based on median impact value for modeling in thermal power plants. Appl Therm Eng 94:472–477

    Article  Google Scholar 

  • Qin Y, Xie S (2011) A multi-factor designation method for mapping particulate-pollution control zones in China. Sci Total Environ 409:3603–3612

    Article  CAS  Google Scholar 

  • Rocabruno-Valdés C, González-Rodriguez J, Díaz-Blanco Y, Juantorena A, Muñoz-Ledo J, El-Hamzaoui Y, Hernández J (2019) Corrosion rate prediction for metals in biodiesel using artificial neural networks. Renew Energy

  • Shi B, Wang P, Jiang J, Liu R (2018) Applying high-frequency surrogate measurements and a wavelet-ANN model to provide early warnings of rapid surface water quality anomalies. Sci Total Environ 610-611:1390–1399

    Article  CAS  Google Scholar 

  • Song L, Chen Z (2014) The role of UV illumination on the NaCl-induced atmospheric corrosion of Q235 carbon steel. Corros Sci 86:318–325

    Article  CAS  Google Scholar 

  • Song JH, Lee Y, Lee DS (2016) Development of a multimedia model (POPsLTEA) to assess the influence of climate change on the fate and transport of polycyclic aromatic hydrocarbons in East Asia. Sci Total Environ 569:690–699

    Article  Google Scholar 

  • Sun W, Gao Q (2019) Exploration of energy saving potential in China power industry based on Adaboost back propagation neural network. J Clean Prod 217:257–266

    Article  Google Scholar 

  • Surnam B, Oleti C (2012) Using three-dimensional surface roughness parameters in analysis of atmospheric corrosion degradation of carbon steel. Corros Eng Sci Technol 47:96–106

    Article  CAS  Google Scholar 

  • Tamura H (2008) The role of rusts in corrosion and corrosion protection of iron and steel. Corros Sci 50:1872–1883

    Article  CAS  Google Scholar 

  • Thee C, Hao L, Dong J, Mu X, Wei X, Li X, Ke W (2014) Atmospheric corrosion monitoring of a weathering steel under an electrolyte film in cyclic wet–dry condition. Corros Sci 78:130–137

    Article  CAS  Google Scholar 

  • Tidblad J, Hicks K, Kuylenstierna J, Pradhan B, Dangol P, Mylvakanam I, Feresu S, Lungu C (2016) Atmospheric corrosion effects of air pollution on materials and cultural property in Kathmandu, Nepal. Mater Corros 67:170–175

    Article  CAS  Google Scholar 

  • Umoren SA, Solomon MM, Ali SA, Dafalla HDM (2019) Synthesis, characterization, and utilization of a diallylmethylamine-based cyclopolymer for corrosion mitigation in simulated acidizing environment. Mater Sci Eng C Mater Biol Appl 100:897–914

    Article  CAS  Google Scholar 

  • Velimirovic M, Auffan M, Carniato L, Batka VM, Schmid D, Wagner S, Borschneck D, Proux O, Von Der Kammer F, Hofmann T (2018) Effect of field site hydrogeochemical conditions on the corrosion of milled zerovalent iron particles and their dechlorination efficiency. Sci Total Environ 618:1619–1627

    Article  CAS  Google Scholar 

  • Wan Y, Yan C, Shi Z, Qu Q, Cao C (2003) Investigation of atmospheric corrosion of carbon steels pre-corroded by different pollutants. Journal of Chinese society for corrosion and protection 23:227–230

    CAS  Google Scholar 

  • Wang Y, Sun X, Ren A (2019) Investigations of rock anchor corrosion and its influence factors by exhumations in four typical field sites. Eng Fail Anal 101:357–382

    Article  Google Scholar 

  • Xu YM, Ran JH, Dai W, Zhang WF (2017) Investigationof Service Life Prediction Models for Metallic Organic Coatings Using Full-Range Frequency EIS Data. Metals 7:274

    Article  Google Scholar 

  • Xu G, Schwarz P, Yang H (2019a) Determining China's CO2 emissions peak with a dynamic nonlinear artificial neural network approach and scenario analysis. Energy Policy 128:752–762

    Article  Google Scholar 

  • Xu J, Bai Y, Wu T, Yan M, Yu C, Sun C (2019b) Effect of elastic stress and alternating current on corrosion of X80 pipeline steel in simulated soil solution. Eng Fail Anal 100:192–205

    Article  CAS  Google Scholar 

  • Yang K, Yu Z, Luo Y, Yang Y, Zhao L, Zhou X (2018) Spatial and temporal variations in the relationship between lake water surface temperatures and water quality-a case study of Dianchi Lake. Sci Total Environ 624:859–871

    Article  CAS  Google Scholar 

  • Yu J, Zhang Y, Jin X, Chen L, Du J, Xue W (2019a) Fabrication and optical emission spectroscopy of enhanced corrosion-resistant CPEO films on Q235 low carbon steel. Surf Coat Technol 363:411–418

    Article  CAS  Google Scholar 

  • Yu Z, Yao Y, Yang G, Wang X, Vejre H (2019b) Spatiotemporal patterns and characteristics of remotely sensed region heat islands during the rapid urbanization (1995–2015) of Southern China. Sci Total Environ 674:242–254

    Article  CAS  Google Scholar 

  • Zhang P, Qin G, Wang Y (2019a) Risk assessment system for oil and gas pipelines laid in One ditch based on quantitative risk analysis. Energies 12:981

    Article  Google Scholar 

  • Zhang Y, Zhou X, Zhao J, Zhuang H, Gao Y, Zhang Y (2019b) Time dependency and similarity of decay process of chloride diffusion in concrete under simulated marine tidal environment. Constr Build Mater 205:332–343

    Article  CAS  Google Scholar 

  • Zhi Y, Fu D, Zhang D, Yang T, Li X (2019) Prediction and knowledge mining of outdoor atmospheric corrosion rates of low alloy steels based on the random forests approach. Metals 9:383

    Article  Google Scholar 

Download references

Acknowledgements

The authors would like to thank the editors and the anonymous reviewers for their valuable comments and suggestions on this paper.

Availability of data and materials

The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

Author information

Authors and Affiliations

  1. State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China

    Cong Men & Jiane Zuo

  2. Beijing Spacecrafts, China Academy of Space Technology, Beijing, 100094, China

    Jingyang Li

  3. Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China

    Jiane Zuo

Authors
  1. Cong Men
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jingyang Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Jiane Zuo
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

Conceptualization, Cong Men; data curation, Jingyang Li; formal analysis, Cong Men; investigation, Jingyang Li; methodology, Cong Men; project administration, Cong Men; validation, Jingyang Li; visualization, Jingyang Li; writing—original draft, Cong Men; writing—review and editing, Jiane Zuo.

Corresponding author

Correspondence to Cong Men.

Ethics declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

All the authors approved the manuscript for publication.

Competing interests

The authors declare no competing interests.

Additional information

Responsible Editor: Philippe Garrigues

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

ESM 1

(DOCX 1877 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Men, C., Li, J. & Zuo, J. Prediction of tempo-spatial patterns and exceedance probabilities of atmospheric corrosion of Q235 carbon steel across China. Environ Sci Pollut Res 29, 25234–25247 (2022). https://doi.org/10.1007/s11356-021-17585-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11356-021-17585-1

Keywords

Search

Navigation