Global | ~1 km Resolution | 2020–2024 | Version 14 (Final)
Pipeline Hydrologic Exposure Index – Classified Index
Pipeline_Hydrologic_Exposure_Index_1_7_v14_INT_websafe.tif
A classified global hydrologic exposure index (1–7) derived from the continuous 1–100 exposure score, representing discrete exposure categories for simplified interpretation, mapping, and decision-making.
Key Insight: This index simplifies the continuous exposure score into actionable categories while preserving underlying hydrologic patterns.
Class Index (1–7, dimensionless)
Version 14 represents the finalized production classification of the Pipeline Hydrologic Exposure Score (1–100), incorporating terrain, climate, and wetland influences through the underlying model.
This dataset is a classified representation of the Pipeline Hydrologic Exposure Score (1–100), Version 14.
The underlying model integrates:
The 1–7 index is derived by grouping the continuous 1–100 score into discrete exposure classes and does not represent an independent model.
The production raster is stored as an integer categorical raster to preserve exact class values for web rendering, API query, and bulk scoring workflows.
River influence within the classified index reflects proximity to major drainage systems derived from global-scale datasets. Due to spatial resolution (~1 km), smaller streams and fine-scale local drainage features may not be fully represented in all locations. The index should therefore be interpreted as a screening-level indicator of hydrologic exposure.
The classification is based on fixed score thresholds:
| Class | Score Range | Exposure Level | Interpretation |
|---|---|---|---|
| 1 | 1–14 | Very Low | Elevated, well-drained terrain |
| 2 | 15–28 | Low | Moderately drained environments |
| 3 | 29–42 | Low-Moderate | Transitional drainage conditions |
| 4 | 43–57 | Moderate | Mixed moisture and drainage influence |
| 5 | 58–71 | Moderate-High | Moisture-prone terrain |
| 6 | 72–85 | High | Strong hydrologic influence |
| 7 | 86–100 | Very High | Floodplains, deltas, wetlands |
Class Index = Reclassification of 1–100 Score into 7 discrete bins
No additional modeling or transformation is applied beyond classification.
Because this raster is categorical, rendering should use discrete class colors rather than continuous stretch symbology.
This dataset reflects hydrologic exposure driven by surface and near-surface environmental processes.
The classification inherits the same depth considerations as the underlying continuous model and reflects conditions relevant to the shallow subsurface, typically corresponding to infrastructure burial depths on the order of approximately 0 to 2 meters.
The model is not depth-specific and does not simulate vertical moisture variation.
The dataset is provided as a continuous global raster surface and is not clipped to land boundaries, ensuring spatial continuity and consistent performance across bulk scoring and API workflows. Interpretation should be focused on terrestrial and near-coastal environments; offshore values are retained for continuity but are outside the intended domain of the model.
The classified index inherits validation from the underlying continuous model, which is based on spatial and behavioral consistency across global hydrologic systems.
Class boundaries were evaluated to ensure meaningful separation between exposure levels while maintaining geographic coherence.
This index represents a globally consistent, physics-informed classification of hydrologic exposure derived from terrain, climate, and wetland conditions. It is intended for screening and prioritization, not site-specific prediction.
This dataset is a simplified representation of a continuous model and should be used in conjunction with the 1–100 score where detailed analysis is required.
This dataset supports pipeline integrity management and corrosion assessment workflows by providing a globally consistent screening layer of hydrologic exposure. It aligns with industry practices including AMPP (NACE) ECDA methodologies and ASME B31.8S integrity management frameworks, enabling identification and prioritization of moisture-driven corrosion environments.
Available through Engineering Director platforms for interactive mapping, API integration, and bulk scoring.
© 2026 AtmosphericIQ LLC and Engineering Director, Inc. All rights reserved. This dataset is proprietary and provided “as is” without warranty.
Mazzella, J. (2026). Global Pipeline Hydrologic Exposure Index (1–7), Version 14. AtmosphericIQ LLC / Engineering Director, Inc.
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