# ISO 9223 Atmospheric Corrosivity (µm/yr) (Steel LE — Localized Emissions) (`steel_ISO9223_LE_V2_Enhanced_2020_2024_1km`) — EDIS AI Agent Dataset View

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## 1. Dataset Metadata
- **Raster Name**: ISO 9223 Atmospheric Corrosivity (µm/yr) (Steel LE — Localized Emissions)
- **Slug**: `steel_ISO9223_LE_V2_Enhanced_2020_2024_1km`
- **Units**: `µm/yr`
- **Spatial Extent**: UL(83.8671659, -179.9999948) to LR(-89.9838547, 179.9999871)
- **Summary**: This raster represents modeled global atmospheric corrosivity for carbon steel using the ISO 9223 atmospheric corrosion framework enhanced with Localized Emissions (LE) analytics derived from EDGAR global anthropogenic atmospheric pollution datasets.
- **Included in Flagship Map Package**: `Global_ISO9223_2020_2024_LE_V4` (`GET https://secure.engineeringdirector.com/api/bundles/Global_ISO9223_2020_2024_LE_V4/point_query`)

### Color Table & Value Breaks
- `(0.65, (0.0, 200.0, 0.0))`
- `(0.7150000000000001, (12.0, 205.5, 0.0))`
- `(0.78, (24.0, 211.0, 0.0))`
- `(0.845, (36.0, 216.5, 0.0))`
- `(0.91, (48.0, 222.0, 0.0))`
- `(0.9750000000000001, (60.0, 227.5, 0.0))`
- `(1.04, (72.0, 233.0, 0.0))`
- `(1.105, (84.0, 238.5, 0.0))`
- `(1.17, (96.0, 244.0, 0.0))`
- `(1.2349999999999999, (108.0, 249.5, 0.0))`
- `(1.3, (120.0, 255.0, 0.0))`
- `(1.3, (120.0, 255.0, 0.0))`

# ISO 9223 Atmospheric Corrosivity Classification (Steel LE — Localized Emissions)

## Raster Description

This raster represents modeled global atmospheric corrosivity for carbon steel using the ISO 9223 atmospheric corrosion framework enhanced with Localized Emissions (LE) analytics derived from EDGAR global anthropogenic atmospheric pollution datasets.

The dataset estimates:
- first-year atmospheric corrosion rate,
- expressed in micrometers per year (µm/year),

using:
- atmospheric temperature,
- relative humidity,
- sulfate deposition,
- chloride deposition,
- localized industrial atmospheric emissions influence,
- and ISO 9223 dose-response relationships.

The LE enhancement framework incorporates persistent atmospheric pollution burden associated with:
- NOx,
- PM10 / PM2.5,
- BC / OC,
- NH₃,
- NMVOC,
- and anthropogenic industrial atmospheric chemistry influence.

The raster was generated using:
- atmospheric interpolation workflows,
- satellite atmospheric datasets,
- chloride transport modeling,
- EDGAR anthropogenic emissions burden rasters,
- coastal transport modeling,
- and environmental climatology analytics

for the period:
- 2020–2024.

The resulting raster provides:
- continuous global atmospheric corrosivity estimates,
- localized emissions atmospheric uplift interpretation,
- ISO 9223 corrosivity classifications,
- and GIS-ready atmospheric corrosion intelligence layers

at:
- 1 km spatial resolution.

The raster is intended for:
- atmospheric corrosion assessment,
- industrial atmospheric exposure interpretation,
- protective coating selection,
- infrastructure durability analysis,
- corrosion engineering,
- enterprise API systems,
- and GIS-based environmental exposure visualization.

---

# Background

The ISO 9223 atmospheric corrosion framework provides a globally recognized methodology for evaluating atmospheric corrosivity using:
- chloride deposition,
- sulfur deposition,
- relative humidity,
- temperature,
- and environmental exposure behavior.

The ISO 9223 Steel LE framework extends this methodology by incorporating:

```text
persistent localized anthropogenic atmospheric chemistry influence.
```

The LE enhancement framework was developed to identify environments where:
- industrial atmospheric chemistry,
- combustion-heavy emissions,
- refinery influence,
- transportation emissions,
- particulate loading,
- and mixed atmospheric pollution burden

may materially elevate atmospheric corrosion behavior above baseline regional climatology alone.

Importantly:

```text
the LE framework enhances — but does not replace —
the underlying ISO 9223 methodology.
```

---

# Localized Emissions (LE) Enhancement Framework

The LE framework integrates:
- EDGAR global anthropogenic atmospheric emissions datasets,
- atmospheric burden normalization,
- industrial atmospheric chemistry analytics,
- and persistent pollution burden interpretation

into the baseline ISO 9223 atmospheric corrosion framework.

The enhancement framework incorporates:
- Acid Gas Burden,
- Particulate Burden,
- Chemistry Burden,
- and Total Atmospheric Pollution Burden.

The LE methodology was intentionally designed as:

```text
enhancement-only.
```

Meaning:
- LE can increase atmospheric corrosion estimates,
- LE cannot reduce baseline atmospheric corrosion predictions.

This design preserves:
- baseline climatological atmospheric interpretation,

while:
- identifying persistent industrial atmospheric uplift behavior.

---

# ISO 9223 Steel Dose Response Function

The baseline ISO 9223 steel dose-response relationship used in generation of this raster is:

```math
r_{corr} = 1.77 \cdot P_D^{0.52} \cdot exp({0.02 \cdot RH + f_{St}})
+ 0.102 \cdot S_D^{0.62} \cdot exp(0.033 \cdot RH + 0.040 \cdot T)
```

where:

```math
f_{St} = 0.150 \cdot (T - 10)
\quad \text{if } T < 10^\circ\mathrm{C}
```

```math
f_{St} = -0.054 \cdot (T - 10)
\quad \text{if } T \geq 10^\circ\mathrm{C}
```

The resulting baseline atmospheric corrosion estimate is then modified using:

```text
Localized Emissions (LE) enhancement analytics.
```

The LE enhancement framework acts as:
- a persistent atmospheric chemistry uplift layer,
- applied to the baseline ISO atmospheric corrosion estimate.

---

# Variable Definitions

| Variable | Description |
|---|---|
| $r_{corr}$ | First-year corrosion rate (µm/year) |
| $T$ | Mean annual temperature (°C) |
| $RH$ | Mean annual relative humidity (%) |
| $P_D$ | Annual average sulfate deposition (mg/m²/day) |
| $S_D$ | Annual average chloride deposition (mg/m²/day) |

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

---

# ISO 9223 Standard Corrosivity Categories

| ISO Category | Steel Corrosion Rate (µm/year) | General 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 |

---

# Extended Engineering Classification (Continuous Raster Interpretation)

Because this raster is continuous rather than discrete, intermediate engineering classifications are useful for:
- GIS visualization
- Continuous environmental scoring
- Corrosion gradient interpretation
- Symbology smoothing

These intermediate classes are not official ISO categories but are recommended engineering interpretation ranges for continuous raster rendering.

| Engineering Classification | Corrosion Rate (µm/year) | Interpretation |
|---|---|---|
| C1 | 0.001 – 0.65 | Very Low |
| C1.5 | 0.651 – 1.3 | Transitional Very Low |
| C2 | 1.301 – 13.15 | Low |
| C2.5 | 13.151 – 25 | Transitional Low |
| C3 | 25.001 – 37.5 | Medium |
| C3.5 | 37.501 – 50 | Transitional Medium |
| C4 | 50.001 – 65 | High |
| C4.5 | 65.001 – 80 | Transitional High |
| C5 | 80.001 – 140 | Very High |
| C5.5 | 140.001 – 200 | Transitional Very High |
| C6 (X) | 200.001 – 700 | Extreme |

---

# Localized Emissions Interpretation

Higher LE-enhanced atmospheric corrosion values may be associated with:
- refinery districts,
- petrochemical environments,
- combustion-heavy industrial corridors,
- smelter regions,
- transportation corridors,
- industrial coastal amplification zones,
- and persistent urban atmospheric pollution burden.

The LE framework is designed to identify:

```text
persistent atmospheric chemistry uplift behavior
```

rather than:
- transient weather events,
- short-duration atmospheric spikes,
- or episodic environmental conditions.

---

# Interpretation Notes

## Lower Corrosion Rates

Typically associated with:
- arid climates,
- inland environments,
- low humidity,
- low atmospheric pollutants,
- and cold dry regions.

---

## Higher Corrosion Rates

Typically associated with:
- marine coastal regions,
- tropical humid environments,
- industrial atmospheres,
- high chloride deposition,
- elevated atmospheric chemistry burden,
- and persistent industrial moisture exposure.

---

# Data Sources

Primary atmospheric corrosion datasets include:

- [NOAA Integrated Surface Database (ISD)](https://www.ncei.noaa.gov/products/land-based-station/integrated-surface-database)

- [NASA MERRA-2 Atmospheric Reanalysis](https://gmao.gsfc.nasa.gov/reanalysis/MERRA-2/)

- [EDGAR v8 Global Air Pollutant Datasets](https://edgar.jrc.ec.europa.eu/)

- [ERA5 Climate Reanalysis and Wind Analytics](https://www.ecmwf.int/en/forecasts/dataset/ecmwf-reanalysis-v5)

- [Atmospheric Chloride Transport Analytics](https://secure.engineeringdirector.com/public/datasets/atmospheric_chloride_transport_analytics)

- [WindRIX Terrain Exposure Analytics](https://secure.engineeringdirector.com/public/datasets/windrix_terrain_exposure_analytics)

- [Coastal Amplification Modeling](https://secure.engineeringdirector.com/public/datasets/coastal_amplification_modeling)


EDGAR pollutant groups incorporated into the LE framework include:
- SO2
- NOx
- PM10
- PM2.5
- BC
- OC
- NH₃
- CO
- NMVOC

---

# Related Atmospheric Corrosion Datasets

---

## Primary LE Corrosion Layers

- [ISO 9223 Steel LE (Localized Emissions)](https://secure.engineeringdirector.com/public/map/steel_ISO9223_LE_V2_Enhanced_2020_2024_1km)
- [ISO 9223 Zinc LE (Localized Emissions)](https://secure.engineeringdirector.com/public/map/zinc_ISO9223_LE_V2_Enhanced_2020_2024_1km)
- [ISO 9223 Aluminum LE (Localized Emissions)](https://secure.engineeringdirector.com/public/map/aluminum_ISO9223_LE_V2_Enhanced_2020_2024_1km)
- [ISO 9223 Copper LE (Localized Emissions)](https://secure.engineeringdirector.com/public/map/copper_ISO9223_LE_V2_Enhanced_2020_2024_1km)

---

## LE Support Layers

- [LE Factor](https://secure.engineeringdirector.com/public/map/LE_Factor_V2_2020_2022_mean_1km)
- [LE Class](https://secure.engineeringdirector.com/public/map/LE_Class_V2_2020_2022_mean_1km)

- [Steel LE Adjustment](https://secure.engineeringdirector.com/public/map/steel_LE_V2_Adjustment_um_yr_2020_2024_1km)
- [Zinc LE Adjustment](https://secure.engineeringdirector.com/public/map/zinc_LE_V2_Adjustment_um_yr_2020_2024_1km)
- [Aluminum LE Adjustment](https://secure.engineeringdirector.com/public/map/aluminum_LE_V2_Adjustment_um_yr_2020_2024_1km)
- [Copper LE Adjustment](https://secure.engineeringdirector.com/public/map/copper_LE_V2_Adjustment_um_yr_2020_2024_1km)

---

## Atmospheric Burden Layers

- [EDGAR Total Burden](https://secure.engineeringdirector.com/public/map/EDGAR_Total_Burden_2020_2022_mean_1km)
- [Acid Gas Burden](https://secure.engineeringdirector.com/public/map/EDGAR_AcidGas_Burden_2020_2022_mean_1km)
- [Particulate Burden](https://secure.engineeringdirector.com/public/map/EDGAR_Particulate_Burden_2020_2022_mean_1km)
- [Chemistry Burden](https://secure.engineeringdirector.com/public/map/EDGAR_Chemistry_Burden_2020_2022_mean_1km)

- [Dominant Emissions Component](https://secure.engineeringdirector.com/public/map/EDGAR_Dominant_Component_2020_2022_1km)
- [LE Industrial Intensity](https://secure.engineeringdirector.com/public/map/LE_Industrial_Intensity_V2_2020_2022_1km)

---

## Supporting Atmospheric Layers

- [Mean Chloride Deposition](https://secure.engineeringdirector.com/public/map/ISO9223_Chlorides_2020_2024_1km)
- [Mean Sulfate Deposition](https://secure.engineeringdirector.com/public/map/ISO9223_Sulfates_2020_2024_1km)

- [Mean Annual Temperature](https://secure.engineeringdirector.com/public/map/ISO9223_Temp_2020_2024_1km)
- [Mean Relative Humidity](https://secure.engineeringdirector.com/public/map/ISO9223_Humidity_2020_2024_1km)

- [Time of Wetness (TOW)](https://secure.engineeringdirector.com/public/map/tow_2020_2024_1km)

- [Wind Speed](https://secure.engineeringdirector.com/public/map/wind_speed_2020_2024_ERA5)
- [Wind Direction](https://secure.engineeringdirector.com/public/map/Wind_Degree_Direction_2020_2024_1km)
- [WindRIX](https://secure.engineeringdirector.com/public/map/Wind_Rix_1km)

- [Distance to Coast](https://secure.engineeringdirector.com/public/map/Distance_to_Coast_2013_1km)

- [Bathymetry / Terrain Elevation](https://secure.engineeringdirector.com/public/map/Bathymetry_2024_1km)

---

# Important Clarification

The LE framework:
- does not replace ISO 9223,
- does not alter official ISO classification methodology,
- and does not represent direct atmospheric dispersion modeling.

Instead:

```text
LE represents a persistent atmospheric chemistry enhancement layer
superimposed on the baseline ISO 9223 atmospheric corrosion framework.
```

---
# Validation and Analytical Support

The Localized Emissions (LE) enhancement framework was developed and evaluated using:
- historical atmospheric corrosion exposure datasets,
- approximately 599 CORRAG/MICAT atmospheric exposure locations,
- ASTM STP1239 historical atmospheric corrosion datasets,
- and global atmospheric emissions reconstruction analytics.

Historical atmospheric emissions conditions were reconstructed using:
- EDGAR anthropogenic atmospheric pollutant datasets,
- and temporally averaged historical emissions conditions representative of the approximate 1988–1992 atmospheric exposure period associated with portions of the historical atmospheric corrosion datasets.

This temporal alignment approach was considered important because:
- atmospheric emissions conditions have changed materially over time,
- particularly in industrial, combustion-heavy, refinery, transportation, and urban atmospheric environments.

The LE framework therefore evaluated:
- historical atmospheric corrosion behavior,
against:
- historically representative atmospheric emissions burden conditions.

Historical regression analytics demonstrated statistically meaningful relationship between:
- anthropogenic atmospheric emissions burden,
- and long-duration atmospheric corrosion exposure behavior.

The analytical framework incorporated:
- leave-one-out (LOO) regression analysis,
- historical emissions reconstruction,
- spatial uplift analysis,
- residual evaluation techniques,
- and atmospheric burden normalization workflows.

Representative predictive performance from the ISO Classic + EDGAR Random Forest framework included:

| Metal | LOO R² | LOO MAE (µm/yr) | LOO RMSE (µm/yr)|
|---|---:|---:|---:|
| Steel | 0.864 | 12.72 | 27.99 |
| Zinc | 0.839 | 0.42 | 0.92 |
| Aluminum | 0.897 | 0.26 | 0.39 |
| Copper | 0.900 | 0.34 | 0.50 |


These analytical results supported incorporation of:
- EDGAR anthropogenic atmospheric emissions datasets,
- and localized atmospheric chemistry enhancement analytics

into the global ISO 9223 atmospheric corrosion framework.

The LE framework is intended to:
- enhance spatial industrial atmospheric interpretation,
- identify persistent atmospheric chemistry uplift,
- improve engineering understanding of localized industrial atmospheric corrosion environments,
- and provide enhanced atmospheric corrosion intelligence for GIS systems, enterprise APIs, latitude/longitude lookup, and bulk scoring workflows.

---

# Recommended Engineering Usage

The raster should primarily be interpreted using:
- exact modeled corrosion rate values (µm/year)

while:
- C1–CX classifications

serve as:
- engineering interpretation bins,
- environmental exposure categories,
- protective coating guidance references,
- and atmospheric corrosion exposure interpretation layers.

---

# Recommended Citations

## Primary Atmospheric Corrosion Modeling Citation

> Mazzella, J., Hayden, T., & Engineering Director, Inc./AtmosphericIQ LLC (2026).  
> *ISO 9223 Atmospheric Corrosion Modeling Framework with Localized Emissions Enhancement (2020–2024).*  
> Engineering Director, Inc.

---

## ISO 9223 Standard Citation

> 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

---
## EDGAR Atmospheric Emissions Dataset Citation

> Crippa, M., Guizzardi, D., Solazzo, E., et al.  
> *EDGAR v8 Global Air Pollutant Emissions.*  
> Emissions Database for Global Atmospheric Research (EDGAR), European Commission Joint Research Centre (JRC).  
> https://edgar.jrc.ec.europa.eu/

---
## ISO 12944-2 Standard Citation

> 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 Atmospheric Dataset Citation

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

---

## Supporting Climate Dataset Citation

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

---

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