# ISO 9223 Zinc Corrosion Rate (`ISO9223_zinc_2020_2024_1km`) — EDIS AI Agent Dataset View

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## 1. Dataset Metadata
- **Raster Name**: ISO 9223 Zinc Corrosion Rate
- **Slug**: `ISO9223_zinc_2020_2024_1km`
- **Units**: `µm/yr`
- **Spatial Extent**: UL(83.8644871, -180.0) to LR(-90.0036558, 179.9982344)
- **Summary**: This dataset represents the modeled first-year atmospheric corrosion rate of zinc based on the ISO 9223 atmospheric corrosivity framework. Corrosion rates were calculated using five-year climatological averages (2020–2024).
- **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
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- `(0.02, (232.0, 242.8, 253.0))`
- `(0.025, (230.0, 241.5, 252.5))`
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- `(0.05, (220.0, 235.0, 250.0))`

# ISO 9223 Zinc Corrosion Rate (2020–2024)

## Overview

This dataset represents the modeled first-year atmospheric corrosion rate of zinc 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 zinc 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 zinc dose-response function to generate global corrosion rate predictions using gridded environmental datasets representing average conditions during the period 2020–2024.

---

## ISO 9223 Zinc Dose-Response Function

The zinc corrosion model is:

```math
r_{corr} = 0.0129 \cdot P_D^{0.44} \cdot exp(0.046 \cdot RH + f_{Zn})
+ 0.0175 \cdot S_D^{0.57} \cdot exp(0.008 \cdot RH + 0.085 \cdot T)
```

where:

```math
f_{Zn} = 0.038 \cdot (T - 10)
\quad \text{if } T \leq 10^\circ C
```

```math
f_{Zn} = -0.071 \cdot (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) |

---

## ISO 9223 Corrosivity Categories (Zinc)

| Category | Corrosion Rate (µm/year) | Corrosivity |
|-----------|-------------------------|-------------|
| C1 | ≤ 0.1 | Very Low |
| C2 | >0.1 – 0.7 | Low |
| C3 | >0.7 – 2.1 | Medium |
| C4 | >2.1 – 4.2 | High |
| C5 | >4.2 – 8.4 | Very High |
| CX | >8.4 | Extreme |

---

## Engineering Interpretation Classes

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

| Class | Corrosion Rate (µm/year) |
|---------|------------------------|
| C1 | 0.001 – 0.05 |
| C1.5 | 0.051 – 0.1 |
| C2 | 0.101 – 0.4 |
| C2.5 | 0.401 – 0.7 |
| C3 | 0.701 – 1.4 |
| C3.5 | 1.401 – 2.1 |
| C4 | 2.101 – 3.2 |
| C4.5 | 3.201 – 4.2 |
| C5 | 4.201 – 6.3 |
| C5.5 | 6.301 – 8.4 |
| CX | >8.4 |

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

Higher corrosion rates are typically associated with:

- Marine environments
- Coastal exposure
- Humid tropical climates
- Elevated chloride deposition
- Elevated sulfate deposition

Zinc corrosion behavior is particularly sensitive to chloride deposition, persistent humidity, and acidic atmospheric conditions.

---

## Spatial Resolution

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

---

## Data Sources

Primary environmental inputs include:

- NOAA Integrated Surface Database (ISD)
- Government of Canada Climate Archive
- NASA MERRA-2 Reanalysis
- National Data Buoy Center (NDBC)
- EPA National Atmospheric Deposition Program (NADP)

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
- Galvanized steel durability studies
- Corrosion engineering
- Asset integrity management
- Environmental exposure analysis
- GIS visualization

---

## Related Datasets

### Primary Corrosion Layers

- [ISO 9223 Steel Corrosion Rate](https://secure.engineeringdirector.com/public/map/ISO9223_Steel_2020_2024_1km)
- [ISO 9223 Zinc Corrosion Rate](https://secure.engineeringdirector.com/public/map/ISO9223_zinc_2020_2024_1km)
- [ISO 9223 Aluminum Corrosion Rate](https://secure.engineeringdirector.com/public/map/ISO9223_Aluminum_2020_2024_1km)
- [ISO 9223 Copper Corrosion Rate](https://secure.engineeringdirector.com/public/map/ISO9223_Copper_2020_2024_1km)

### Enhanced LE (Local Emissions) Corrosion Layers

- [ISO 9223 Steel LE V4](https://secure.engineeringdirector.com/public/map/steel_ISO9223_LE_V4_Enhanced_2020_2024_1km)
- [ISO 9223 Zinc LE V4](https://secure.engineeringdirector.com/public/map/zinc_ISO9223_LE_V4_Enhanced_2020_2024_1km)
- [ISO 9223 Aluminum LE V4](https://secure.engineeringdirector.com/public/map/aluminum_ISO9223_LE_V4_Enhanced_2020_2024_1km)
- [ISO 9223 Copper LE V4](https://secure.engineeringdirector.com/public/map/copper_ISO9223_LE_V4_Enhanced_2020_2024_1km)

### Supporting Environmental 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_global_2020_2024_ERA5)

### Supporting Coastal & Terrain Layers

- [Distance to the Nearest Coast](https://secure.engineeringdirector.com/public/map/Distance_to_Coast_2013_1km)
- [Bathymetry 2024 – Terrain Elevation](https://secure.engineeringdirector.com/public/map/Bathymetry_2024_1km)
- [WindRIX Terrain–Wind Exposure Index](https://secure.engineeringdirector.com/public/map/windrix_style_2020_2024_ERA5)
- [Wind Resultant Direction (0–360°)](https://secure.engineeringdirector.com/public/map/Wind_Degree_Direction_2020_2024_ERA5)
- [Wind Speed](https://secure.engineeringdirector.com/public/map/wind_speed_2020_2024_ERA5)


---

## Attribution

**Joseph Mazzella**  
AtmosphericIQ LLC  
Engineering Director, Inc.

---

## Dataset Citation

> Mazzella, J. (2026). *ISO 9223 Zinc 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.*

> ISO 12944-2. *Paints and varnishes — Corrosion protection of steel structures by protective paint systems — Part 2: Classification of environments.*

---

## Version Information

| Property | Value |
|-----------|---------|
| Dataset Name | ISO 9223 Zinc Corrosion Rate |
| Dataset Version | 1.0 |
| Publication Year | 2026 |
| Author | Joseph Mazzella |
| Temporal Coverage | 2020–2024 |
| Resolution | ~1 km |
| Units | µm/year |
| Coordinate System | WGS 84 (EPSG:4326) |

---

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```bash
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```

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```bash
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