Statistical prediction of atmospheric corrosion from atmospheric-pollution parameters

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9 Citations (Scopus)

Abstract

Pollution plays an important role in the corrosion of metals. This work deals essentially with atmospheric corrosion at Oman to assess the degrading effects of air pollutions on various metals that are mostly used in the engineering systems. It is the first exposure corrosion study carried out at Oman concerning the influence of air pollution on atmospheric corrosion of metals. Common materials like aluminum, brass, copper, epoxy, galvanized iron, mild steel, and stainless steel were used for the investigation. The sites of exposure were chosen at five locations where the metals are likely to be used. Statistical analysis was carried out and a number of statistical models for the sites were developed. The statistical analysis of the test data indicated that the correlations are statistically significant at less than the 1% level. These models revealed that the weight-loss values are more highly correlated with mean nitrate and sulphate concentrations than with corresponding mean chloride and carbonate concentrations. These findings were seen at all five sites.

Original languageEnglish
Pages (from-to)190-200
Number of pages11
JournalPractice Periodical of Hazardous, Toxic, and Radioactive Waste Management
Volume7
Issue number3
DOIs
Publication statusPublished - Jul 2003

Fingerprint

Atmospheric corrosion
corrosion
Pollution
atmospheric pollution
Corrosion
Air pollution
metal
Statistical methods
prediction
Metals
statistical analysis
steel
Carbonates
Stainless Steel
Brass
Aluminum
Systems engineering
brass
Nitrates
Sulfates

Keywords

  • Air pollution
  • Carbonation
  • Chlorides
  • Corrosion
  • Metals
  • Nitrates
  • Regression models
  • Statistical analysis

ASJC Scopus subject areas

  • Geotechnical Engineering and Engineering Geology
  • Chemical Engineering(all)
  • Environmental Engineering
  • Water Science and Technology
  • Waste Management and Disposal
  • Environmental Science(all)

Cite this

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title = "Statistical prediction of atmospheric corrosion from atmospheric-pollution parameters",
abstract = "Pollution plays an important role in the corrosion of metals. This work deals essentially with atmospheric corrosion at Oman to assess the degrading effects of air pollutions on various metals that are mostly used in the engineering systems. It is the first exposure corrosion study carried out at Oman concerning the influence of air pollution on atmospheric corrosion of metals. Common materials like aluminum, brass, copper, epoxy, galvanized iron, mild steel, and stainless steel were used for the investigation. The sites of exposure were chosen at five locations where the metals are likely to be used. Statistical analysis was carried out and a number of statistical models for the sites were developed. The statistical analysis of the test data indicated that the correlations are statistically significant at less than the 1{\%} level. These models revealed that the weight-loss values are more highly correlated with mean nitrate and sulphate concentrations than with corresponding mean chloride and carbonate concentrations. These findings were seen at all five sites.",
keywords = "Air pollution, Carbonation, Chlorides, Corrosion, Metals, Nitrates, Regression models, Statistical analysis",
author = "Abdul-Wahab, {Sabah A.}",
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publisher = "American Society of Civil Engineers (ASCE)",
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T1 - Statistical prediction of atmospheric corrosion from atmospheric-pollution parameters

AU - Abdul-Wahab, Sabah A.

PY - 2003/7

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AB - Pollution plays an important role in the corrosion of metals. This work deals essentially with atmospheric corrosion at Oman to assess the degrading effects of air pollutions on various metals that are mostly used in the engineering systems. It is the first exposure corrosion study carried out at Oman concerning the influence of air pollution on atmospheric corrosion of metals. Common materials like aluminum, brass, copper, epoxy, galvanized iron, mild steel, and stainless steel were used for the investigation. The sites of exposure were chosen at five locations where the metals are likely to be used. Statistical analysis was carried out and a number of statistical models for the sites were developed. The statistical analysis of the test data indicated that the correlations are statistically significant at less than the 1% level. These models revealed that the weight-loss values are more highly correlated with mean nitrate and sulphate concentrations than with corresponding mean chloride and carbonate concentrations. These findings were seen at all five sites.

KW - Air pollution

KW - Carbonation

KW - Chlorides

KW - Corrosion

KW - Metals

KW - Nitrates

KW - Regression models

KW - Statistical analysis

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