GSA 2020 Connects Online

Paper No. 40-2
Presentation Time: 5:45 PM

GPS TRACKING LIVESTOCK TO INFORM POTENTIAL HUMAN EXPOSURE TO ABANDONED URANIUM MINE WASTE IN AN INDIGENOUS COMMUNITY IN THE SOUTHWESTERN UNITED STATES (Invited Presentation)


HOOVER, Joseph1, LIN, Yan2, BEENE, Daniel3, LIU, Zhuoming3 and LEWIS, Johnnye4, (1)Cultural Studies & Social Sciences, Environmental Studies Program, 1500 University Dr, Billings, MT 59101, (2)Geography and Environmental Studies, MSC 01 1110, 1 University of New Mexico, Albuquerque, NM 87131; Geography and Environmental Studies, MSC 01 1110, 1 University of New Mexico, Albuquerque, NM 87131, (3)Geography and Environmental Studies, MSC 01 1110, 1 University of New Mexico, Albuquerque, NM 87131, (4)Community Environmental Health Program, College of Pharmacy, MSC09 5360, 1 University of New Mexico, Albuquerque, NM 87131

There 160,000 abandoned hardrock mines in the western United States and more than 600,000 members of Indigenous communities that live within 10 km of at least one of these sites. The Navajo Nation (Arizona, New Mexico and Utah) is confronting a legacy of 523 abandoned uranium mines (AUMs) within Nation boundaries; the presence of these AUMs has been associated with deleterious human health impacts, environmental deterioration, and exposure disparities. While previous studies focused on air and water as pathways for AUM exposure, there remains a critical need for additional investigation of animal meat and organs consumption as a pathway for human exposure. A partnership among a Navajo community, Dine’ College, Northern Arizona University, University of New Mexico, and Montana State University – Billings is using a transdisciplinary approach to investigate AUM exposure of domesticated livestock and uptake of metals in animal tissues. The study design relies on global positioning system (GPS) and GIS technologies to track livestock grazing patterns, inform environmental sampling, and aid interpretation of analytical chemistry results. Geospatial, environmental, and biological data will be integrated to inform understanding of potential human exposure to metals founds in AUM waste via consumption of livestock organs and meat. Emphasizing the central role of geographic thought and analysis, we illustrate a transdisciplinary team-science approach using global positioning system (GPS) animal tracking, GIS-modeling, and quantification and propagation of uncertainty in modeling. The findings of this study will answer community questions about livestock exposure to AUM waste and inform ongoing clean up of these sites.