High-resolution maps of metal contamination in groundwater

High Resolution Models of Groundwater Metal Exposures

NIH-funded research Columbia University Health Sciences · NIH-11124895

This project builds detailed models to find where arsenic, uranium, and other metals are polluting drinking water in rural and Native American communities so residents can reduce exposure.

Quick facts

Grant typeNIH-funded research
Study typeNIH-funded research
Funding institutionColumbia University Health Sciences NIH-funded
Lab location1 site (New York, United States)
Project IDNIH-11124895 on NIH RePORTER

What this research studies

Researchers are combining existing and new well water chemistry measurements with mineral data and satellite-based hydrology information to better understand where metals enter groundwater. They will use machine learning to predict contaminant levels across rural landscapes, especially in Northern Plains and tribal areas with limited monitoring. The work links these groundwater models to past community health studies to see where exposures may affect cardiometabolic disease. The goal is to make maps and tools that help target testing and cleanup where it will protect people's health.

Who could benefit from this research

Good fit: People living in rural Northern Plains communities, especially Native American tribal members who rely on private wells or local groundwater for drinking, are the primary candidates to benefit or participate.

Not a fit: People served by large, regularly treated municipal water systems or those living outside the study region are unlikely to get direct benefit from this project.

Why it matters

Potential benefit: If successful, the project could point to contaminated wells so families can get their water tested, use filters, or access safer water supplies.

How similar studies have performed: Past Strong Heart Study data have shown high arsenic and uranium in these communities, and mapping approaches have identified hotspots before, but combining sparse rural groundwater data with advanced machine learning is a newer approach.

Where this research is happening

New York, United States

Researchers

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page below.
Conditions Cardiometabolic DiseaseCardiometabolic Disorder
Last reviewed 2026-06-13 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.