# Artesian Well Likelihood – Continuous Score (1–100) (`Artesian_Well_Likelihood_1km_Industry_Filled_webfile`) — 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. 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Dataset Metadata - **Raster Name**: Artesian Well Likelihood – Continuous Score (1–100) - **Slug**: `Artesian_Well_Likelihood_1km_Industry_Filled_webfile` - **Units**: `Index Score (0–100)` - **Spatial Extent**: UL(89.0001537, -180.0) to LR(-89.0005557, 180.0) - **Summary**: A continuous global artesian groundwater likelihood score (1–100) representing the relative probability of artesian, confined, pressurized, or groundwater emergence conditions based on integrated terrain hydrology, hydrogeology, climate wetness, lithology, and groundwater system characteristics. - **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 - `(1.0, (245.0, 247.0, 238.0))` - `(1.4, (244.1, 246.4, 236.5))` - `(1.8, (243.2, 245.8, 235.0))` - `(2.2, (242.3, 245.2, 233.5))` - `(2.6, (241.4, 244.6, 232.0))` - `(3.0, (240.5, 244.0, 230.5))` - `(3.4000000000000004, (239.6, 243.4, 229.0))` - `(3.8000000000000003, (238.7, 242.8, 227.5))` - `(4.2, (237.8, 242.2, 226.0))` - `(4.6, (236.9, 241.6, 224.5))` - `(5.0, (236.0, 241.0, 223.0))` - `(5.0, (236.0, 241.0, 223.0))` # Artesian Well Likelihood – Continuous Score (1–100) **Global | ~1 km Resolution | Version 1 (Industry Filled)** --- ## Raster Name Artesian Well Likelihood – Continuous Score --- ## File Name `Artesian_Well_Likelihood_1km_Industry_Filled_webfile.tif` --- ## Short Description A continuous global artesian groundwater likelihood score (1–100) representing the relative probability of artesian, confined, pressurized, or groundwater emergence conditions based on integrated terrain hydrology, hydrogeology, climate wetness, lithology, and groundwater system characteristics. --- # How to Read This Map - **Higher values** indicate greater likelihood of artesian or pressurized groundwater conditions - **Lower values** represent terrain less favorable for groundwater confinement or sustained hydraulic pressure - Focus on **regional continuity and clustered patterns**, not isolated pixels - The score reflects a **probabilistic hydrogeologic susceptibility model**, not deterministic well prediction ### Key Insight This score represents the combined influence of: - terrain-driven groundwater convergence - hydrologic persistence - permeability - lithology - recharge conditions - basin-scale hydrogeologic favorability --- # Units of Measure Index Score (0–100, dimensionless) --- # Technical Specification Version 1 represents the first production-ready global artesian groundwater likelihood framework integrating: - terrain hydrology - climate wetness - hydrogeology - lithology - empirical groundwater validation The model was developed as a globally consistent hydrogeologic susceptibility framework designed for: - pipeline screening - groundwater emergence assessment - pressurized groundwater susceptibility - infrastructure planning - regional hydrogeologic analysis --- # Model Components The model integrates five primary components. --- # Model Components The model integrates five primary components. --- # 1. Terrain Hydrology Component ## Supporting Rasters - [HAND – Height Above Nearest Drainage](https://secure.engineeringdirector.com/public/map/HAND_Height_Above_Nearest_Drainage_m) - [HAND Low-Lying Index](https://secure.engineeringdirector.com/public/map/HAND_Low_Lying_Index_0_1) - [Saturation Potential Index](https://secure.engineeringdirector.com/public/map/Saturation_Potential_Index_0_1) - [Drainage Position Index](https://secure.engineeringdirector.com/public/map/Drainage_Position_Index_0_1) - [River Influence](https://secure.engineeringdirector.com/public/map/River_Influence_20km) - [Drainage Intensity Index](https://secure.engineeringdirector.com/public/map/Drainage_Index_Normalized_0_1) - [Distance to River](https://secure.engineeringdirector.com/public/map/Distance_To_River_20km_Geodesic) These variables describe: - groundwater convergence - valley confinement - saturation persistence - drainage connectivity - low-lying terrain favorability Terrain-derived hydrologic indices form the foundational groundwater accumulation framework. --- # 2. Climate Wetness Component ## Supporting Rasters - [Mean Annual Precipitation](https://secure.engineeringdirector.com/public/map/mean_annual_precip_2020_2024) - [Rainy Days](https://secure.engineeringdirector.com/public/map/global_annual_rainfall_2020_2024) - [Relative Humidity](https://secure.engineeringdirector.com/public/map/RH_Mean_2020_2024_30arcsec_GCS_WGS84_tileview) - [Time of Wetness (TOW)](https://secure.engineeringdirector.com/public/map/tow_global_2020_2024_ERA5) - [Total Column Water Vapour](https://secure.engineeringdirector.com/public/map/total_column_water_vapour_2020_2024_web_1km) - [Soil Moisture Surface](https://secure.engineeringdirector.com/public/map/soil_moisture_surface_2020_2024_ERA5) - [Soil Moisture Root Zone](https://secure.engineeringdirector.com/public/map/soil_moisture_root_zone_2020_2024_ERA5) - [Wetness Persistence Metrics](https://secure.engineeringdirector.com/public/map/wet_dry_cycles_2020_2024_ERA5) These variables characterize: - long-term moisture persistence - recharge potential - climatic wetness regimes - sustained groundwater replenishment Climate wetness is incorporated as a nonlinear hydrologic amplification signal. --- # 3. Hydrogeologic Permeability Component (GLHYMPS) ## Supporting Rasters - [GLHYMPS Hydraulic Conductivity (logK)](https://secure.engineeringdirector.com/public/map/GLHYMPS_Hydrogeology_Constraint_1km_WGS84_UINT8) - [GLHYMPS Porosity](https://secure.engineeringdirector.com/public/map/GLHYMPS_Porosity_1km_WGS84_UINT8) - [GLHYMPS Transmissivity](https://secure.engineeringdirector.com/public/map/GLHYMPS_Transmissivity_1km_WGS84_UINT8_v3) - [GLHYMPS Hydrogeology Constraint](https://secure.engineeringdirector.com/public/map/GLHYMPS_Hydrogeology_Constraint_1km_WGS84_UINT8) These variables characterize: - groundwater storage potential - permeability - aquifer transmissivity - hydraulic connectivity GLHYMPS integration constrains the model toward terrain capable of supporting sustained groundwater movement and pressure development. --- # 4. Lithologic Constraint Component (GLiM) ## Supporting Raster - [GLiM Lithology Constraint](https://secure.engineeringdirector.com/public/map/GLiM_Lithology_Constraint_1km_WGS84_UINT8) GLiM lithology is used to differentiate: - sedimentary terrains - unconsolidated basins - carbonate systems - volcanic terrains - crystalline basement regions Higher favorability is assigned to: - unconsolidated sediments - sedimentary basins - carbonate lithologies - alluvial systems Lower favorability is assigned to: - igneous terrains - metamorphic basement - volcanic uplands - crystalline shields This component improves geologic continuity and reduces unrealistic groundwater favorability in low-permeability terrains. --- # 5. Empirical Groundwater Validation Component ## Supporting Validation Datasets - Global Groundwater Well Database (vector feature dataset) - Artesian Validation Wells (validated groundwater occurrence points) The model was validated against a global groundwater well database containing: - ~217,000 extracted groundwater well records - ~88,000 validated georeferenced wells Validation confirms statistical enrichment of observed groundwater wells within elevated artesian likelihood zones. These validation datasets are maintained as geospatial feature layers supporting: - hydrogeologic calibration - model verification - artesian occurrence screening - spatial groundwater validation workflows --- # Model Integration The final raster integrates: - terrain hydrology - climatic wetness - hydrogeologic permeability - lithologic favorability - groundwater occurrence validation using a weighted hydrogeologic susceptibility framework. --- # Classification | Class | Score Range | Likelihood Level | General Interpretation | |---|---|---|---| | 1 | 0–20 | Very Low | Well-drained or hydrogeologically unfavorable terrain | | 2 | 21–40 | Low | Limited groundwater confinement potential | | 3 | 41–60 | Moderate | Transitional groundwater favorability | | 4 | 61–80 | High | Strong groundwater persistence and confinement potential | | 5 | 81–100 | Very High | Highly favorable artesian or pressurized groundwater conditions | --- # Key Characteristics - Continuous global index scaled 0–100 - Integrates hydrology, climate, hydrogeology, and lithology - Incorporates GLHYMPS permeability constraints - Incorporates GLiM lithologic constraints - Reduced hydrogeologic void regions using geology-supported fallback modeling - Physically grounded hydrogeologic framework - Designed for regional screening and prioritization workflows --- # Spatial Characteristics - **Coordinate System:** GCS_WGS_1984 - **Spatial Resolution:** ~1 km - **Coverage:** Global (±85.0511°) The dataset is provided as a continuous global raster surface for integration into: - GIS systems - API services - pipeline integrity workflows - corridor screening systems - enterprise geospatial platforms --- # Processing Processing workflow includes: - DEM conditioning - Hydrologic terrain modeling - HAND derivation - River proximity analysis - Saturation modeling - Climate normalization - GLHYMPS hydrogeologic integration - GLiM lithology integration - Raster normalization and scaling - Multi-layer weighted susceptibility fusion - Gap-filling using geology-supported fallback modeling - Global smoothing and calibration --- # Model Validation Validation is based on: - global groundwater well overlap - hydrogeologic consistency - spatial enrichment analysis - comparative hydrogeologic behavior ## Supporting Validation Artifacts The following analytical and geospatial validation artifacts support the Artesian Well Likelihood Framework: - Validation Summary Statistics (CSV analytics output) - Probability Bin Distribution Analysis - Top Ranked Validation Wells (geospatial validation subset) - Well Feature Extraction Dataset (global groundwater feature dataset) These supporting validation products are used internally for: - model calibration - hydrogeologic verification - empirical groundwater assessment - statistical enrichment analysis - QA/QC workflows Validation observations include: - strong correspondence with known groundwater basins - alignment with major alluvial systems - consistency with sedimentary terrains - realistic suppression of crystalline uplands and shield regions The model demonstrates statistically significant enrichment of observed groundwater wells within elevated likelihood zones. --- # Confidence Statement This dataset represents a globally consistent hydrogeologic susceptibility framework intended for: - regional screening - infrastructure planning - groundwater emergence assessment - corridor analysis - hydrogeologic prioritization The dataset is probabilistic and not intended as deterministic prediction of: - artesian wells - groundwater depth - groundwater pressure - groundwater flow rate Site-specific hydrogeologic investigation is required for engineering or groundwater development decisions. --- # Scope and Intended Use Intended applications include: - pipeline routing and integrity screening - groundwater emergence susceptibility - hydrogeologic corridor assessment - infrastructure planning - regional groundwater analysis - environmental screening - geospatial risk prioritization --- # Data Access & Platform Services Available through Engineering Director platforms for: - interactive mapping - enterprise GIS - raster visualization - hydrogeologic screening - infrastructure analytics - future API integration workflows Future API services may include: - artesian likelihood queries - raster value extraction - hydrogeologic risk screening - bulk infrastructure scoring # Related Artesian and Hydrogeologic Datasets ## Primary Artesian Products - [Artesian Well Likelihood (1–100)](https://secure.engineeringdirector.com/public/map/Artesian_Well_Likelihood_1km_Industry_Filled_webfile) - [Artesian Well Likelihood Index (1–5)](https://secure.engineeringdirector.com/public/map/Artesian_Well_Likelihood_Class_1km_Industry_Filled_webfile) --- ## Supporting Hydrogeologic Layers - [GLHYMPS Hydraulic Conductivity (logK)](https://secure.engineeringdirector.com/public/map/GLHYMPS_Hydrogeology_Constraint_1km_WGS84_UINT8) - [GLHYMPS Porosity](https://secure.engineeringdirector.com/public/map/GLHYMPS_Porosity_1km_WGS84_UINT8) - [GLHYMPS Transmissivity](https://secure.engineeringdirector.com/public/map/GLHYMPS_Transmissivity_1km_WGS84_UINT8_v3) - [GLHYMPS Hydrogeology Constraint](https://secure.engineeringdirector.com/public/map/GLHYMPS_Hydrogeology_Constraint_1km_WGS84_UINT8) - [GLiM Lithology Constraint](https://secure.engineeringdirector.com/public/map/GLiM_Lithology_Constraint_1km_WGS84_UINT8) --- ## Supporting Hydrologic Layers - [HAND – Height Above Nearest Drainage](https://secure.engineeringdirector.com/public/map/HAND_Height_Above_Nearest_Drainage_m) - [HAND Low-Lying Index](https://secure.engineeringdirector.com/public/map/HAND_Low_Lying_Index_0_1) - [Saturation Potential Index](https://secure.engineeringdirector.com/public/map/Saturation_Potential_Index_0_1) - [Drainage Position Index](https://secure.engineeringdirector.com/public/map/Drainage_Position_Index_0_1) - [River Influence](https://secure.engineeringdirector.com/public/map/River_Influence_20km) - [Drainage Intensity Index](https://secure.engineeringdirector.com/public/map/Drainage_Index_Normalized_0_1) --- ## Supporting Climate Layers - [Mean Annual Precipitation](https://secure.engineeringdirector.com/public/map/mean_annual_precip_2020_2024) - [Rainy Days](https://secure.engineeringdirector.com/public/map/global_annual_rainfall_2020_2024) - [Relative Humidity](https://secure.engineeringdirector.com/public/map/RH_Mean_2020_2024_30arcsec_GCS_WGS84_tileview) - [Time of Wetness (TOW)](https://secure.engineeringdirector.com/public/map/tow_global_2020_2024_ERA5) - [Total Column Water Vapour](https://secure.engineeringdirector.com/public/map/total_column_water_vapour_2020_2024_web_1km) --- # Legal & Licensing © 2026 AtmosphericIQ LLC and Engineering Director, Inc. All rights reserved. This dataset is proprietary and provided “as is” without warranty. --- # Dataset Citation Mazzella, N. (2026). **Global Artesian Well Likelihood Score (1–100), Version 1.** AtmosphericIQ LLC / Engineering Director, Inc. --- ## 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. 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