[HTML][HTML] A spatiotemporal ensemble model to predict gross beta particulate radioactivity across the contiguous United States
Particulate radioactivity, a characteristic of particulate matter, is primarily determined by the
abundance of radionuclides that are bound to airborne particulates. Exposure to high levels …
abundance of radionuclides that are bound to airborne particulates. Exposure to high levels …
Exposure to particle Beta radiation in greater Massachusetts and factors influencing its spatial and temporal variability
Particle radioactivity is a property of airborne particles caused by the presence of naturally
occurring or anthropogenic radionuclides. Recent studies have found associations between …
occurring or anthropogenic radionuclides. Recent studies have found associations between …
Evaluating county-level lung cancer incidence from environmental radiation exposure, PM2.5, and other exposures with regression and machine learning models
Characterizing the interplay between exposures shaping the human exposome is vital for
uncovering the etiology of complex diseases. For example, cancer risk is modified by a …
uncovering the etiology of complex diseases. For example, cancer risk is modified by a …
Predicting monthly community-level domestic radon concentrations in the greater Boston area with an ensemble learning model
Inhaling radon and its progeny is associated with adverse health outcomes. However,
previous studies of the health effects of residential exposure to radon in the United States …
previous studies of the health effects of residential exposure to radon in the United States …
A Hybrid Approach to Estimating National Scale Spatiotemporal Variability of PM2.5 in the Contiguous United States
Airborne fine particulate matter exhibits spatiotemporal variability at multiple scales, which
presents challenges to estimating exposures for health effects assessment. Here we created …
presents challenges to estimating exposures for health effects assessment. Here we created …
[HTML][HTML] A high resolution spatiotemporal fine particulate matter exposure assessment model for the contiguous United States
C Brokamp - Environmental Advances, 2022 - Elsevier
Currently available nationwide prediction models for fine particulate matter (PM 2.5) lack
prediction confidence intervals and usually do not describe cross validated model …
prediction confidence intervals and usually do not describe cross validated model …
Model prediction of radioactivity levels in the environment and food around the world's first AP 1000 nuclear power unit
P Wang, W Huang, H Zou, X Lou, H Ren, S Yu… - Frontiers in Public …, 2024 - frontiersin.org
Objectives Model prediction of radioactivity levels around nuclear facilities is a useful tool for
assessing human health risks and environmental impacts. We aim to develop a model for …
assessing human health risks and environmental impacts. We aim to develop a model for …
Advancing methodologies for applying machine learning and evaluating spatiotemporal models of fine particulate matter (PM2. 5) using satellite data over large …
Reconstructing the distribution of fine particulate matter (PM 2.5) in space and time, even far
from ground monitoring sites, is an important exposure science contribution to epidemiologic …
from ground monitoring sites, is an important exposure science contribution to epidemiologic …
Predicting Monthly Community-Level Radon Concentrations with Spatial Random Forest in the Northeastern and Midwestern United States
In 1987, the United States Environmental Protection Agency recommended installing a
mitigation system when the indoor concentration of radon, a well-known carcinogenic …
mitigation system when the indoor concentration of radon, a well-known carcinogenic …
[HTML][HTML] Space-time trends of PM2. 5 constituents in the conterminous United States estimated by a machine learning approach, 2005–2015
Particulate matter with aerodynamic diameter less than 2.5 μm (PM 2.5) is a complex mixture
of chemical constituents emitted from various emission sources or through secondary …
of chemical constituents emitted from various emission sources or through secondary …