ISO 9223 Steel Corrosion Rate

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Map Information

This dataset represents the modeled first-year atmospheric corrosion rate of carbon steel based on the ISO 9223 atmospheric corrosivity framework. Corrosion rates were calculated using five-year climatological averages (2020–2024).

Data Source:
Environmental Data
Units:
µm/yr
Coverage:
CONTINENTAL
Citation:
Mazzella, J., Hayden, T., & Engineering Director, Inc./AtmosphericIQ LLC (2026). ISO 9223 Atmospheric Corrosion Rate Modeling Framework (2020–2024).
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Technical Specifications

ISO 9223 Steel Corrosion Rate (2020–2024)

Overview

This dataset represents the modeled first-year atmospheric corrosion rate of carbon steel based on the ISO 9223 atmospheric corrosivity framework.

Corrosion rates were calculated using five-year climatological averages (2020–2024) of:

  • Temperature
  • Relative Humidity
  • Sulfate Deposition
  • Chloride Deposition

The resulting raster provides:

  • First-year steel corrosion rate estimates
  • ISO 9223 corrosivity classifications
  • Continuous atmospheric corrosion exposure mapping

at approximately 1 km spatial resolution.

Units:

  • Micrometers per year (µm/year)

Background

ISO 9223 provides internationally recognized dose-response functions for estimating atmospheric corrosion rates of engineering materials using climatic and pollutant exposure variables.

This dataset applies the ISO 9223 carbon steel dose-response function to generate global corrosion rate predictions using gridded environmental datasets representing average conditions during the period 2020–2024.

These classifications are widely used for:

  • Protective coating selection
  • Structural durability assessments
  • Corrosion engineering
  • Atmospheric exposure analysis
  • Asset integrity management

ISO 9223 Steel Dose-Response Function

The carbon steel corrosion model is:

math r_{corr} = 1.77 \cdot P_D^{0.52} \cdot e^{(0.020RH + f_{St})} + 0.102 \cdot S_D^{0.62} \cdot e^{(0.033RH + 0.040T)}

where:

math f_{St} = 0.150(T - 10) \quad \text{if } T \leq 10^\circ C

math f_{St} = -0.054(T - 10) \quad \text{if } T > 10^\circ C

Variable Definitions

Variable Description
rcorr First-year corrosion rate (µm/year)
T Mean annual temperature (°C)
RH Mean annual relative humidity (%)
PD Sulfate deposition (mg/m²/day)
SD Chloride deposition (mg/m²/day)

The reader is referred to the official ISO 9223 standard for additional material-specific equations and atmospheric corrosivity methodologies.


ISO 9223 Corrosivity Categories (Steel)

Category Corrosion Rate (µm/year) Corrosivity
C1 ≤ 1.3 Very Low
C2 >1.3 – 25 Low
C3 >25 – 50 Medium
C4 >50 – 80 High
C5 >80 – 200 Very High
CX >200 Extreme

Engineering Interpretation Classes

For visualization and continuous raster interpretation, the following intermediate classes are provided:

Class Corrosion Rate (µm/year)
C1 0.001 – 0.65
C1.5 0.651 – 1.3
C2 1.301 – 13.15
C2.5 13.151 – 25
C3 25.001 – 37.5
C3.5 37.501 – 50
C4 50.001 – 65
C4.5 65.001 – 80
C5 80.001 – 140
C5.5 140.001 – 200
CX >200

These intermediate classes are not part of the ISO 9223 standard and are provided solely for GIS visualization and continuous corrosion exposure interpretation.


Interpretation Notes

Lower corrosion rates are typically associated with:

  • Arid climates
  • Inland environments
  • Low humidity regions
  • Low pollutant exposure
  • Cold dry climates

Higher corrosion rates are typically associated with:

  • Marine environments
  • Coastal exposure
  • Humid tropical climates
  • Elevated chloride deposition
  • Elevated sulfate deposition
  • Persistent moisture exposure

Carbon steel corrosion behavior is particularly sensitive to atmospheric moisture, chloride deposition, sulfur-containing pollutants, and long-term wet-dry cycling.


Spatial Resolution

Property Value
Resolution ~1 km
Coordinate System WGS 84
EPSG Code 4326
Temporal Coverage 2020–2024

Data Sources

Primary environmental inputs include:

Derived raster inputs include:

  • Mean Annual Temperature
  • Mean Relative Humidity
  • Mean Chloride Deposition
  • Mean Sulfate Deposition
  • Time of Wetness (TOW)

Intended Applications

This dataset may be used for:

  • Atmospheric corrosion assessment
  • Protective coating selection
  • Structural durability analysis
  • Asset integrity management
  • Corrosion engineering
  • Environmental exposure analysis
  • GIS visualization

Related Datasets

Primary Corrosion Layers

Primary LE (Local Emissions) Corrosion Layers

Supporting Environmental Layers

Supporting Coastal & Terrain Layers


Attribution

Joseph Mazzella
AtmosphericIQ LLC
Engineering Director, Inc.


Dataset Citation

Mazzella, J., Hayden, T.,(2026). ISO 9223 Steel Corrosion Rate Raster (2020–2024). AtmosphericIQ LLC / Engineering Director, Inc.


Standards Citations

ISO 9223:2012. Corrosion of metals and alloys — Corrosivity of atmospheres — Classification, determination and estimation. International Organization for Standardization (ISO).
https://www.iso.org/standard/53499.html

ISO 12944-2. Paints and varnishes — Corrosion protection of steel structures by protective paint systems — Part 2: Classification of environments. International Organization for Standardization (ISO).
https://www.iso.org/standard/64834.html


Supporting Dataset Citations

NASA Global Modeling and Assimilation Office (GMAO). MERRA-2 Atmospheric Reanalysis Dataset.
https://gmao.gsfc.nasa.gov/reanalysis/MERRA-2/

NOAA National Centers for Environmental Information (NCEI). Integrated Surface Database (ISD).
https://www.ncei.noaa.gov/products/land-based-station/integrated-surface-database


Version Information

Property Value
Dataset Name ISO 9223 Steel Corrosion Rate
Dataset Version 1.0
Publication Year 2026
Author Joseph Mazzella
Organization AtmosphericIQ LLC / Engineering Director, Inc.
Temporal Coverage 2020–2024
Resolution ~1 km
Units µm/year
Coordinate System WGS 84 (EPSG:4326)
Material Carbon Steel

Data Distribution Analysis

These histograms show the distribution of pixel values across the entire raster dataset, helping you understand the range and frequency of different measurements.

Linear Scale Distribution
Shows the actual frequency distribution of values using a standard linear scale.
Logarithmic Scale Distribution
Shows the same data using a logarithmic scale, making it easier to see patterns in data with large value ranges.