DOE · DOE-714 · record R3571

Advanced Long Term Environmental Monitoring Systems (ALTEMIS)

Department of Energy · SRS - SRNL - Savannah River Site - Savannah River National Laboratory (EM)

Overview

Development stage: PilotSource: b) Pilot – The use case has been deployed in a limited test or pilot capacity.
High-impact designation: High-impactSource: a) High-impact
Impact justification: Not reported
Start date: 2022-09-01 (day precision)Source: 2022-09-01T00:00:00
Withheld from public reporting: NoSource: a) No

Mission

Topic area: Energy and the Environment
Operational functions: Forecasting and prediction Derived by keyword rules; see methodology

Problem the AI is intended to solve

Reduce the cost of long-term monitoring using integrated sensing technologies and AI/ML to forecast groundwater plume migration and anomalies.

Expected benefits

Proactive, rather than reactive, monitoring of complex geochemical systems.

System outputs

Spatiotemporal optimization of sensor locations, correlate proxy variables (e.g., pH, specific conductance, water table elevation, etc.) with contaminants, measure proxy variables with various sensing modalities, predict concentrations across space and time given proxy variables.

Technology

AI classification: Classical / predictive MLSource: Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relatio…
System name(s): SRNL-SRS ATO
Custom-developed code: Yes
Public source code: Not reported

Sourcing

How it was built: Developed in-houseSource: b) Developed in-house
Vendor (as reported): Python
Vendors (standardized): None on the standard list

A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.

Data and privacy

Involves PII: No
Privacy Impact Assessment: Not reported
Authorization to Operate: Yes
Demographic features: Not reported
Training and evaluation data: Sensor systems: In Situ (vendor name) well sensors, electrical resistivity tomography system, custom vertically resolved temperature sensors
Federal Data Catalog: altemisai.org

Governance

0 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.

Pre-deployment testingNo answer reported

AI impact assessmentNo answer reported

Independent reviewNo answer reported

Ongoing monitoringNo answer reported

Operator trainingNo answer reported

Fail-safeNo answer reported

Appeal processNo answer reported

User and public consultationNo answer reported

Potential impacts and how they were identified

Not reported