Meteorological data source comparison—a case study in geospatial modeling of potential environmental exposure to abandoned uranium mine sites in the Navajo Nation
This study evaluated how different meteorological data sources affect predictions of exposure susceptibility to abandoned uranium mines in the Navajo Nation. Using machine learning and GIS modeling, researchers compared national datasets, regional airport reports, and local weather stations. Results showed that direct local measurements produced the most accurate predictions, underscoring the importance of community-based data collection for risk assessment and policy decisions.
