The failures of engineering structures situated in the aquatic environment caused by corrosion cannot be over-emphasized. This research work addressed the effects of depths, heavy metals, microbial activities, and physiochemical properties of the water body on the corrosion of submerged metal structures in the water body (the water body is assumed flowing). Model techniques were applied to evaluate the relationship between diffusion and weight loss, as well as velocity and weight loss, at different depths. The results obtained showed that an increase in corrosion rate followed the order 30 cm < 60 cm < 90 cm < 120 cm < 150 cm for a specific time. The presence of heavy metals increased the rate of corrosion downwards, the corrosion rate was higher at a higher depth with the presence of heavy metals. Generally, the results also revealed that microbial activities increased downward, except for Total Coliform which had no effect along the depths. The corrosion rate of mild steel was highest between the depth of 30 cm–90 cm, while the rate of corrosion of stainless steel within the same range was the lowest. Between 120 cm–150 cm the rate of copper coupon corrosion was the highest. The model approach demonstrated that diffusion and velocity contributed mostly to metal corrosion in the water medium.

🔒 This is a subscription article

Full text is available to subscribers and institutional members. Please choose an option below to access it.

1. Adikari M, Munasinghe N. Development of a corrosion model for prediction of atmospheric corrosion of mild steel. Am J Appl Sci Res. 2016;2(6):91–9
2. Amadi SA, Ukpaka CP. Evaluation of corrosion behavior of pipeline steel structure in onshore environment. Phys Chem Pak. 2015;17(1):21–2
3. Amadi SA, Ukpaka CP. Evaluation of the metals corrosion in soil environment of Niger Delta Area of Nigerian. Niger J Oil Gas Technol. 2015;1:104–1
4. Carreon-Alvarez A, Valderrama RC, Martínez JA, Estrada-Vargas A, Gómez-Salazar S, Barcena-Soto M, et al. Corrosion of aluminum, copper, brass and stainless steel 304 in tequila. Int J Electrochem Sci. 2012;7(9):7877–78
5. Odio BO, Chinwuko EC, Chukwuneke JL, Sinebe JE. Investigation of the effect of corrosion on mild steel in five different environments. Int J Sci Technol 2014;3:306–310.
6. Crolet JL, Thevenot N, Nesic S. Role of conductive corrosion products in the protectiveness of corrosion layers. Corrosion. 1998;54(3):194–
7. Deconinck J, Maggetto G, Vereecken J. Calculation of current distribution and electrode shape change by the boundary element method. J Electrochem Soc. 1985;132(12):2960.
8. Dembiaska Assessment of corrosion aggressiveness of tap water in relation to installation material Gas water savit Eng. 1993;11:274–276.
9. Eldevik F, Graver B, Torbergsen LE, Saugerud OT. Development of a guideline for safe, reliable and cost efficient transmission of CO2 in pipelines. Energy Proced. 2009;1(1):1579–15
10. Huo Y, Tan MY, Forsyth M. Visualising dynamic passivation and localised corrosion processes occurring on buried steel surfaces under the effect of anodic transients. Electrochem Commun. 2016;66:21–2

• Marcinowaki P, Wojikowaka M, Sinieynih. Surface water monitoring in area of the 2 elazny most waste disposal. Przem Chem. 2008;87:512–519

12. Nešic S, Nordsveen M, Nyborg R, Stangeland A. A mechanistic model for carbon dioxide corrosion of mild steel in the presence of protective iron carbonate films—part 2: a numerical experiment. Corrosion. 2003;59(6):489–4
13. Oladel SK, Okoro HK. Investigation of corrosion effect of mild steel on orange juice. Afr J Biotechnol. 2011;10(16):3152–315
14. Osarolube E, Owate IO, Oforka NC. Corrosion behaviour of mild and high carbon steels in various acidic media. Sci Res 2008;3(6):224–228.
15. Riemer DP, Orazem ME. Application of boundary element models to predict effectiveness of coupons for accessing cathodic protection of buried structures. Corrosion. 2000;56(08).
16. Santos WJ, Santiago JA, Telles JC. Optimal positioning of anodes and virtual sources in the design of cathodic protection systems using the method of fundamental solutions. Eng Anal Bound 2014;46:67–74.
17. Sass BM, Farzan H, Prabhakar R, Gerst J, Sminchak J, Bhargava M, et al. Considerations for treating impurities in oxy-combustion flue gas prior to sequestration. Energy Proced. 2009;1(1):535–5
18. Song FM. Predicting the chemistry, corrosion potential and corrosion rate in a crevice formed between substrate steel and a disbonded permeable coating with a mouth. Corrosion Sci. 2012;55:107–1
19. Strutt JE, Nicholls JR, Barbier B. The prediction of corrosion by statistical analysis of corrosion profiles. Corrosion Sci. 1985;25(5):305–3
20. Telles JC, Mansur WJ, Wrobel LC, Marinho MG. Numerical simulation of a cathodically protected semisubmersible platform using the procat system. Corrosion. 1990;46(6):513–51

The failures of engineering structures situated in the aquatic environment caused by corrosion cannot be over-emphasized. This research work addressed the effects of depths, heavy metals, microbial activities, and physiochemical properties of the water body on the corrosion of submerged metal structures in the water body (the water body is assumed flowing). Model techniques were applied to evaluate the relationship between diffusion and weight loss, as well as velocity and weight loss, at different depths. The results obtained showed that an increase in corrosion rate followed the order 30 cm < 60 cm < 90 cm < 120 cm < 150 cm for a specific time. The presence of heavy metals increased the rate of corrosion downwards, the corrosion rate was higher at a higher depth with the presence of heavy metals. Generally, the results also revealed that microbial activities increased downward, except for Total Coliform which had no effect along the depths. The corrosion rate of mild steel was highest between the depth of 30 cm–90 cm, while the rate of corrosion of stainless steel within the same range was the lowest. Between 120 cm–150 cm the rate of copper coupon corrosion was the highest. The model approach demonstrated that diffusion and velocity contributed mostly to metal corrosion in the water medium.

🔒 This is a subscription article

Full text is available to subscribers and institutional members. Please choose an option below to access it.

1. Adikari M, Munasinghe N. Development of a corrosion model for prediction of atmospheric corrosion of mild steel. Am J Appl Sci Res. 2016;2(6):91–9
2. Amadi SA, Ukpaka CP. Evaluation of corrosion behavior of pipeline steel structure in onshore environment. Phys Chem Pak. 2015;17(1):21–2
3. Amadi SA, Ukpaka CP. Evaluation of the metals corrosion in soil environment of Niger Delta Area of Nigerian. Niger J Oil Gas Technol. 2015;1:104–1
4. Carreon-Alvarez A, Valderrama RC, Martínez JA, Estrada-Vargas A, Gómez-Salazar S, Barcena-Soto M, et al. Corrosion of aluminum, copper, brass and stainless steel 304 in tequila. Int J Electrochem Sci. 2012;7(9):7877–78
5. Odio BO, Chinwuko EC, Chukwuneke JL, Sinebe JE. Investigation of the effect of corrosion on mild steel in five different environments. Int J Sci Technol 2014;3:306–310.
6. Crolet JL, Thevenot N, Nesic S. Role of conductive corrosion products in the protectiveness of corrosion layers. Corrosion. 1998;54(3):194–
7. Deconinck J, Maggetto G, Vereecken J. Calculation of current distribution and electrode shape change by the boundary element method. J Electrochem Soc. 1985;132(12):2960.
8. Dembiaska Assessment of corrosion aggressiveness of tap water in relation to installation material Gas water savit Eng. 1993;11:274–276.
9. Eldevik F, Graver B, Torbergsen LE, Saugerud OT. Development of a guideline for safe, reliable and cost efficient transmission of CO2 in pipelines. Energy Proced. 2009;1(1):1579–15
10. Huo Y, Tan MY, Forsyth M. Visualising dynamic passivation and localised corrosion processes occurring on buried steel surfaces under the effect of anodic transients. Electrochem Commun. 2016;66:21–2

• Marcinowaki P, Wojikowaka M, Sinieynih. Surface water monitoring in area of the 2 elazny most waste disposal. Przem Chem. 2008;87:512–519

12. Nešic S, Nordsveen M, Nyborg R, Stangeland A. A mechanistic model for carbon dioxide corrosion of mild steel in the presence of protective iron carbonate films—part 2: a numerical experiment. Corrosion. 2003;59(6):489–4
13. Oladel SK, Okoro HK. Investigation of corrosion effect of mild steel on orange juice. Afr J Biotechnol. 2011;10(16):3152–315
14. Osarolube E, Owate IO, Oforka NC. Corrosion behaviour of mild and high carbon steels in various acidic media. Sci Res 2008;3(6):224–228.
15. Riemer DP, Orazem ME. Application of boundary element models to predict effectiveness of coupons for accessing cathodic protection of buried structures. Corrosion. 2000;56(08).
16. Santos WJ, Santiago JA, Telles JC. Optimal positioning of anodes and virtual sources in the design of cathodic protection systems using the method of fundamental solutions. Eng Anal Bound 2014;46:67–74.
17. Sass BM, Farzan H, Prabhakar R, Gerst J, Sminchak J, Bhargava M, et al. Considerations for treating impurities in oxy-combustion flue gas prior to sequestration. Energy Proced. 2009;1(1):535–5
18. Song FM. Predicting the chemistry, corrosion potential and corrosion rate in a crevice formed between substrate steel and a disbonded permeable coating with a mouth. Corrosion Sci. 2012;55:107–1
19. Strutt JE, Nicholls JR, Barbier B. The prediction of corrosion by statistical analysis of corrosion profiles. Corrosion Sci. 1985;25(5):305–3
20. Telles JC, Mansur WJ, Wrobel LC, Marinho MG. Numerical simulation of a cathodically protected semisubmersible platform using the procat system. Corrosion. 1990;46(6):513–51