Environmental Health Assessment of Communities Located Near Geothermal Energy Facilities
DOI:
https://doi.org/10.66592/j6drwa14Keywords:
environmental health, geothermal energy, hydrogen sulfide exposure, community health, respiratory disease, geothermal reservoir, public health surveillanceAbstract
Geothermal energy is widely regarded as a low-carbon, dispatchable renewable resource central to global decarbonization strategies, yet the communities residing near geothermal power plants and district heating facilities are exposed to a distinct set of environmental emissions and geomechanical processes that warrant careful, ongoing health assessment. Geothermal fluids naturally contain hydrogen sulfide, carbon dioxide, methane, and trace elements that can be released to the atmosphere during energy extraction, while reservoir pressure changes associated with fluid withdrawal and reinjection can induce ground deformation and, in some settings, low-magnitude seismicity. This article synthesizes the epidemiological and environmental health literature on communities located near geothermal energy facilities, examining chronic and short-term hydrogen sulfide exposure studies, respiratory and cardiovascular health outcomes, community risk perception, and the reactive transport and geomechanical processes that govern long-term emissions and ground stability risk at geothermal sites. It draws on subsurface reactive transport modeling relevant to long-term geothermal reservoir performance, machine learning-enhanced geomechanical characterization relevant to induced seismicity and ground stability risk, and heterogeneous reservoir management principles from analogous subsurface energy operations, and further considers how AI-driven public health surveillance and predictive analytics frameworks developed for national healthcare systems could be adapted to strengthen environmental health monitoring around geothermal facilities. The article concludes by identifying persistent challenges in exposure assessment precision, epidemiological study design, and integrated health-environment surveillance, and proposes a research agenda for advancing environmental health assessment of geothermal-adjacent communities toward more precise, continuously monitored practice.
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1. Bustaffa, E., Cori, L., Manzella, A., Nuvolone, D., Minichilli, F., Bianchi, F., & Gorini, F. (2020). The health of communities living in proximity of geothermal plants generating heat and electricity: A review. Science of the Total Environment, 706, Article 135998. https://doi.org/10.1016/j.scitotenv.2019.135998
2. Nguyen, T. T. (2026a). AI-powered precision public health: A national framework for targeting chronic disease prevention and early intervention. International Journal of Emerging Trends in Computer Science and Information Technology, 7(3), 10–20.
3. Nguyen, T. T. (2026c). The economic impact of AI adoption in healthcare: Estimating national cost savings, productivity gains, and long-term health outcomes. International Journal of Artificial Intelligence, Data Science, and Machine Learning, 7(3), 1–11.
4. Nguyen, T. T. (2026d). National-scale predictive analytics for Medicare and Medicaid: An AI-driven approach to identifying high-risk populations and reducing healthcare costs. Journal of Advanced Scientific Research, 17(6), 1–10.
5. Nuvolone, D., Petri, D., Pepe, P., & Voller, F. (2019). Health effects associated with chronic exposure to low-level hydrogen sulfide from geothermoelectric power plants. A residential cohort study in the geothermal area of Mt. Amiata in Tuscany. Science of the Total Environment, 659, 973–982. https://doi.org/10.1016/j.scitotenv.2018.12.402
6. Quist, A. J. L., & Johnston, J. E. (2024). Respiratory and nervous system effects of a hydrogen sulfide crisis in Carson, California. Science of the Total Environment, 906, Article 167480. https://doi.org/10.1016/j.scitotenv.2023.167480
7. Stoppa, G., Nuvolone, D., Petri, D., Centi, L., Nisticò, F., Crocetti, E., Barbone, F., & Voller, F. (2023). Exposure to low levels of hydrogen sulphide and its impact on chronic obstructive pulmonary disease and lung function in the geothermal area of Mt. Amiata in Italy: The cross-sectional InVETTA study. PLOS One, 18(11), Article e0293619. https://doi.org/10.1371/journal.pone.0293619
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