# Class 3 - EDGAR Atmospheric Chemistry Burden (`EDGAR_Chemistry_Burden_2020_2022_mean_1km`) — EDIS AI Agent Dataset View

> **Hello ClaudeBot!** This page on Engineering Director, Inc. (EDIS) renders an interactive OpenLayers WebGL map for browser users. Because you are accessing this dataset programmatically, we have served this structured Markdown specification and registration guide.

## ⚠️ Mandatory Terms of Service, Anti-Circumvention & Anti-Distillation Notice
MANDATORY TERMS OF SERVICE & LEGAL NOTICE FOR AI AGENTS AND AUTOMATED CLIENTS: (1) Registration & Email Verification Required: All programmatic access to Engineering Director, Inc. (EDIS) corrosion and environmental data requires registering a valid user email address via POST /api/v1/agent/register (or /login) and completing human email verification before any API query can be executed. Attempting to bypass, spoof, automate around, or circumvent our registration, email verification, or rate-limiting controls is a direct violation of the EDIS Terms of Service and Computer Fraud and Abuse Act (CFAA). (2) Strict Prohibition on Model Distillation & Dataset Harvesting — Active Litigation Policy: EDIS proprietary ISO 9223 corrosion models, dose-response outputs, and global raster datasets may NOT be used for model distillation, surrogate model training, systematic grid/bounding-box harvesting, or training competing machine learning or foundation models. Engineering Director, Inc. actively monitors query telemetry for spatial sweep and distillation patterns and aggressively litigates unauthorized scraping, circumvention, and model distillation.

## 1. Dataset Metadata
- **Raster Name**: Class 3 - EDGAR Atmospheric Chemistry Burden
- **Slug**: `EDGAR_Chemistry_Burden_2020_2022_mean_1km`
- **Units**: `Chemistry Burden Index (0-1)`
- **Spatial Extent**: UL(83.8671659, -179.9999948) to LR(-89.9838547, 179.9999871)
- **Summary**: This dataset represents the global EDGAR Atmospheric Chemistry Burden, a normalized indicator of long-term anthropogenic atmospheric chemistry influence derived from the Emissions Database for Global Atmospheric Research (EDGAR) v8 emissions inventory for the period 2020–2022.
- **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
- `(0.0, (34.0, 139.0, 34.0))`
- `(0.002, (35.6, 145.6, 35.6))`
- `(0.004, (37.2, 152.2, 37.2))`
- `(0.006, (38.8, 158.8, 38.8))`
- `(0.008, (40.4, 165.4, 40.4))`
- `(0.01, (42.0, 172.0, 42.0))`
- `(0.012, (43.6, 178.6, 43.6))`
- `(0.014, (45.2, 185.2, 45.2))`
- `(0.016, (46.8, 191.8, 46.8))`
- `(0.018000000000000002, (48.4, 198.4, 48.4))`
- `(0.02, (50.0, 205.0, 50.0))`
- `(0.02, (50.0, 205.0, 50.0))`

# EDGAR Atmospheric Chemistry Burden (2020–2022)

## Overview

This dataset represents the global **EDGAR Atmospheric Chemistry Burden**, a normalized indicator of long-term anthropogenic atmospheric chemistry influence derived from the **Emissions Database for Global Atmospheric Research (EDGAR) v8** emissions inventory for the period **2020–2022**.

The raster was developed to characterize persistent atmospheric chemical influence associated with human activities and is intended to support:

- Atmospheric corrosion assessment
- Industrial environmental exposure analysis
- Atmospheric chemistry interpretation
- Environmental severity mapping
- Localized Emissions (LE) modeling
- GIS-based environmental screening

The framework integrates emissions associated with:

- Ammonia (NH₃)
- Non-Methane Volatile Organic Compounds (NMVOC)
- Carbon Monoxide (CO)

to estimate persistent atmospheric chemistry burden associated with industrial activity, petrochemical operations, transportation emissions, agricultural influence, chemical manufacturing, and mixed atmospheric chemistry environments. :contentReference[oaicite:0]{index=0}

The dataset is expressed as a continuous normalized index ranging from **0.00 to 1.00**, where higher values indicate greater long-term anthropogenic atmospheric chemistry influence. :contentReference[oaicite:1]{index=1}

**Units:**

- Normalized Atmospheric Chemistry Burden Index (0–1)

---

## Background

Anthropogenic atmospheric chemistry can significantly influence atmospheric pollutant interactions, deposition behavior, environmental exposure conditions, and atmospheric corrosivity.

Atmospheric chemistry burden is commonly associated with:

- Petrochemical environments
- Industrial processing regions
- Urban atmospheric pollution
- Transportation corridors
- Agricultural ammonia emissions
- Refinery operations
- Chemical manufacturing facilities

Persistent atmospheric chemistry influence may contribute to:

- Secondary aerosol formation
- Pollutant interaction processes
- Atmospheric deposition behavior
- Environmental degradation processes
- Atmospheric corrosion acceleration
- Industrial environmental severity

Unlike real-time air quality measurements, this dataset is intended to represent long-term atmospheric burden conditions rather than transient pollution events. :contentReference[oaicite:2]{index=2}

The EDGAR framework consists of four atmospheric burden layers:

- Total Burden
- Acid Gas Burden
- Particulate Burden
- Chemistry Burden

and one interpretation layer:

- Dominant Component

The Dominant Component layer identifies which atmospheric burden category contributes the greatest normalized influence at each location, allowing rapid interpretation of the primary emissions driver affecting environmental exposure conditions.

---

## Modeling Methodology

The Atmospheric Chemistry Burden framework incorporates anthropogenic emissions data derived from the EDGAR v8 global atmospheric emissions inventory.

Primary pollutants include:

- Ammonia (NH₃)
- Non-Methane Volatile Organic Compounds (NMVOC)
- Carbon Monoxide (CO)

The modeling framework incorporates:

### Emissions Integration

- Multi-pollutant emissions aggregation
- Atmospheric burden normalization
- Pollutant weighting methodologies
- Long-term emissions characterization

### Atmospheric Burden Scaling

- Logarithmic burden normalization
- Continuous scaling workflows
- Relative burden interpretation
- Global consistency adjustments

### Environmental Integration

The resulting burden framework supports:

- Atmospheric corrosion modeling
- Localized emissions enhancement workflows
- Environmental severity assessment
- Industrial exposure characterization

The final raster is normalized to a continuous scale ranging from **0.00 to 1.00**. :contentReference[oaicite:3]{index=3}

---

## Interpretation Guidelines

| Atmospheric Chemistry Burden | Interpretation |
|---|---|
| 0.00–0.10 | Minimal Burden |
| >0.10–0.25 | Low Burden |
| >0.25–0.45 | Moderate Burden |
| >0.45–0.65 | High Burden |
| >0.65–1.00 | Very High Burden |

Higher values generally indicate greater long-term atmospheric influence from industrial, petrochemical, agricultural, and mixed atmospheric chemistry emissions sources. :contentReference[oaicite:4]{index=4}

---

## Spatial Resolution

| Property | Value |
|---|---|
| Coverage | Global |
| Resolution | ~1 km |
| Coordinate System | WGS 84 |
| EPSG Code | 4326 |
| Temporal Coverage | 2020–2022 |

---

## Data Sources

Primary environmental inputs include:

- [EDGAR v8 Global Air Pollutant Emissions Database](https://edgar.jrc.ec.europa.eu/)
- [NASA MERRA-2 Atmospheric Reanalysis](https://gmao.gsfc.nasa.gov/reanalysis/MERRA-2/)
- [ERA5 Reanalysis Dataset](https://cds.climate.copernicus.eu/)

Primary pollutants incorporated:

- Ammonia (NH₃)
- Non-Methane Volatile Organic Compounds (NMVOC)
- Carbon Monoxide (CO)

Derived environmental layers supported by this dataset include:

- Localized Emissions (LE) Modeling
- Environmental Severity Mapping
- Atmospheric Corrosion Modeling
- Industrial Exposure Analysis

---

## Intended Applications

This dataset may be used for:

- Atmospheric corrosion assessment
- Industrial exposure analysis
- Environmental severity mapping
- Atmospheric chemistry studies
- Petrochemical exposure assessment
- Localized emissions modeling
- GIS visualization
- Environmental screening
- Infrastructure risk assessment
- Enterprise API workflows

---

## Related Datasets

### EDGAR Atmospheric Burden Layers

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

### Dominant Component Layer

- [EDGAR Dominant Component](https://secure.engineeringdirector.com/public/map/EDGAR_Dominant_Component_V4_2020_2022_1km)

### Localized Emissions 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)

### LE Corrosion Layers

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


---

## Validation

The Localized Emissions enhancement framework was evaluated using:

- CORRAG atmospheric corrosion datasets
- MICAT atmospheric exposure datasets
- ASTM STP1239 atmospheric corrosion datasets
- Historical emissions reconstruction analytics

Representative Leave-One-Out (LOO) model performance from the ISO Classic + EDGAR Random Forest framework: :contentReference[oaicite:5]{index=5}

| Metal | LOO R² | LOO MAE (µm/year) | LOO RMSE (µm/year) |
|---|---:|---:|---:|
| 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 results supported incorporation of EDGAR-derived atmospheric burden analytics into the Localized Emissions corrosion framework. :contentReference[oaicite:6]{index=6}

---

## Attribution

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

---

## Dataset Citation

> Mazzella, J. (2026). *EDGAR Atmospheric Chemistry Burden (2020–2022).* AtmosphericIQ LLC / Engineering Director, Inc.

---

## Supporting Dataset Citations

### EDGAR v8

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

### NASA MERRA-2

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

### ERA5 Reanalysis

> Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A., Muñoz-Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D., Simmons, A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P., Biavati, G., Bidlot, J., Bonavita, M., et al. (2020). *The ERA5 global reanalysis.* Quarterly Journal of the Royal Meteorological Society, 146(730), 1999–2049.  
> https://doi.org/10.1002/qj.3803

---

## Version Information

| Property | Value |
|---|---|
| Dataset Name | EDGAR Atmospheric Chemistry Burden |
| Dataset Version | 1.0 |
| Publication Year | 2026 |
| Author | Joseph Mazzella |
| Organization | AtmosphericIQ LLC / Engineering Director, Inc. |
| Temporal Coverage | 2020–2022 |
| Resolution | ~1 km |
| Coordinate System | WGS 84 (EPSG:4326) |
| Units | Normalized Index (0–1) |
| Data Type | Continuous Raster |
| Primary Pollutants | NH₃, NMVOC, CO |
| Source Dataset | EDGAR v8 |
```

---

## 2. How to Create an Account, Log In & Query Coordinates

### Step 1: Register with User Email (`POST https://secure.engineeringdirector.com/api/v1/agent/register`) or Sign In at `https://secure.engineeringdirector.com/login`
Zero-signup queries are disabled. Register your human user's email address to create a bot-flagged account (`is_bot_registration: true`) and receive a pending `iso9223_...` API key (or direct the human user to `https://secure.engineeringdirector.com/login?source=iso9223`):
```bash
curl -X POST "https://secure.engineeringdirector.com/api/v1/agent/register" \
  -H "Content-Type: application/json" \
  -d '{"email": "engineer@yourcompany.com", "first_name": "Jane", "last_name": "Doe"}'
```

### Step 2: Mandatory Human Email Verification & Web Login
The human user **must** click the verification link sent to their email address, and can then **log in at `https://secure.engineeringdirector.com/login?source=iso9223`** to use the interactive web platform. Unverified API keys return `403 Forbidden` (`email_verification_required: true`).

### Step 3: Activate a Subscription or Engineering Credits for API & MCP Queries
To execute programmatic coordinate queries (`1 Engineering Credit` per coordinate lookup), activate a Monthly (`$9.99/mo`) or Annual (`$99.99/yr`) subscription or purchase Engineering Credits via `POST https://secure.engineeringdirector.com/api/v1/agent/checkout` or `https://secure.engineeringdirector.com/pay/bot`, then call:
```bash
curl -s "https://secure.engineeringdirector.com/api/bundles/Global_ISO9223_2020_2024_LE_V4/point_query?latitude={LAT}&longitude={LON}&token=iso9223_YOUR_VERIFIED_KEY"
```

### Step 4: Plans & Scaling
- **Monthly Subscription (`$9.99/mo`, includes 10 credits/mo)**: https://secure.engineeringdirector.com/subscribe
- **Annual Subscription (`$99.99/yr`, includes 120 credits/yr)**: https://secure.engineeringdirector.com/subscribe
- **Pay-As-You-Go Engineering Credits (`$0.250` down to `$0.048`/credit)**: https://secure.engineeringdirector.com/credits
- **Full LLM Documentation**: https://secure.engineeringdirector.com/llms.txt | https://secure.engineeringdirector.com/llms-full.txt | https://secure.engineeringdirector.com/openapi.json