Cargando…

10-year spatial and temporal trends of PM(2.5) concentrations in the southeastern US estimated using high-resolution satellite data

Long-term PM(2.5) exposure has been associated with various adverse health outcomes. However, most ground monitors are located in urban areas, leading to a potentially biased representation of true regional PM(2.5) levels. To facilitate epidemiological studies, accurate estimates of the spatiotempor...

Descripción completa

Detalles Bibliográficos
Autores principales:	Hu, X., Waller, L. A., Lyapustin, A., Wang, Y., Liu, Y.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	2014
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5619667/ https://www.ncbi.nlm.nih.gov/pubmed/28966656 http://dx.doi.org/10.5194/acp-14-6301-2014

Ejemplares similares

Bayesian geostatistical modelling of PM(10) and PM(2.5) surface level concentrations in Europe using high-resolution satellite-derived products
por: Beloconi, Anton, et al.
Publicado: (2018)

Estimating Regional Spatial and Temporal Variability of PM(2.5) Concentrations Using Satellite Data, Meteorology, and Land Use Information
por: Liu, Yang, et al.
Publicado: (2009)

Satellite-Based Spatiotemporal Trends in PM(2.5) Concentrations: China, 2004–2013
por: Ma, Zongwei, et al.
Publicado: (2015)

The Potential Impact of Satellite-Retrieved Cloud Parameters on Ground-Level PM(2.5) Mass and Composition
por: Belle, Jessica H., et al.
Publicado: (2017)

Spatial Autocorrelation and Temporal Convergence of PM(2.5) Concentrations in Chinese Cities
por: Wang, Huan, et al.
Publicado: (2022)

Spatio-Temporal Variations of Satellite-Based PM(2.5) Concentrations and Its Determinants in Xinjiang, Northwest of China
por: Wang, Wei, et al.
Publicado: (2020)

Spatial and Temporal Trends of Number of Deaths Attributable to Ambient PM(2.5) in the Korea
por: Han, Changwoo, et al.
Publicado: (2018)

Temporal and Spatial Features of the Correlation between PM(2.5) and O(3) Concentrations in China
por: Chen, Jiajia, et al.
Publicado: (2019)

Spatial and temporal characteristics analysis and prediction model of PM(2.5) concentration based on SpatioTemporal-Informer model
por: Ma, Zhanfei, et al.
Publicado: (2023)

PM(2.5) and ozone health impacts and disparities in New York City: sensitivity to spatial and temporal resolution
por: Kheirbek, Iyad, et al.
Publicado: (2012)

A Satellite-Based Spatio-Temporal Machine Learning Model to Reconstruct Daily PM(2.5) Concentrations across Great Britain
por: Schneider, Rochelle, et al.
Publicado: (2020)

Comparison of Ground-Based PM(2.5) and PM(10) Concentrations in China, India, and the U.S.
por: Yang, Xingchuan, et al.
Publicado: (2018)

Spatial and Temporal Volatility of PM2.5, PM10 and PM10-Bound B[a]P Concentrations and Assessment of the Exposure of the Population of Silesia in 2018–2021
por: Kaleta, Dorota, et al.
Publicado: (2022)

The View from Afar: Satellite-Derived Estimates of Global PM(2.5)
por: Konkel, Lindsey
Publicado: (2015)

Spatial-Temporal Evolution of PM(2.5) Concentration and its Socioeconomic Influence Factors in Chinese Cities in 2014–2017
por: Wang, Yazhu, et al.
Publicado: (2019)

A Spatial–Temporal Causal Convolution Network Framework for Accurate and Fine-Grained PM(2.5) Concentration Prediction
por: Lin, Shaofu, et al.
Publicado: (2022)

Spatial and Temporal Distribution of PM(2.5) Pollution in Xi’an City, China
por: Huang, Ping, et al.
Publicado: (2015)

Spatially and Temporally Resolved Ambient PM(2.5) in Relation to Preterm Birth
por: Cowell, Whitney, et al.
Publicado: (2021)

A Bayesian Downscaler Model to Estimate Daily PM(2.5) Levels in the Conterminous US
por: Wang, Yikai, et al.
Publicado: (2018)

Spatial and temporal trends of visceral leishmaniasis by mesoregion in a southeastern state of Brazil, 2002-2013
por: da Silva, Thais Almeida Marques, et al.
Publicado: (2017)

Spatial–Temporal Variations in NO(2) and PM(2.5) over the Chengdu–Chongqing Economic Zone in China during 2005–2015 Based on Satellite Remote Sensing
por: Cai, Kun, et al.
Publicado: (2018)

Spatial-Temporal Analysis of PM(2.5) and NO(2) Concentrations Collected Using Low-Cost Sensors in Peñuelas, Puerto Rico †
por: Reece, Stephen, et al.
Publicado: (2018)

Estimating Spatial and Temporal Trends in Environmental Indices Based on Satellite Data: A Two-Step Approach
por: Colin, Brigitte, et al.
Publicado: (2019)

Estimation of PM2.5 Concentrations in China Using a Spatial Back Propagation Neural Network
por: Wang, Weilin, et al.
Publicado: (2019)

Spatial and Temporal Dynamics of Stink Bugs in Southeastern Farmscapes
por: Pilkay, Grant L., et al.
Publicado: (2015)

Application of geostationary satellite and high-resolution meteorology data in estimating hourly PM(2.5) levels during the Camp Fire episode in California
por: Vu, Bryan N., et al.
Publicado: (2022)

Spatial-Temporal Effects of PM(2.5) on Health Burden: Evidence from China
por: Zeng, Ming, et al.
Publicado: (2019)

Spatial Patterns of Satellite-Retrieved PM(2.5) and Long-Term Exposure Assessment of China from 1998 to 2016
por: Chen, Tan, et al.
Publicado: (2018)

Spatial and seasonal variability of the mass concentration and chemical composition of PM(2.5) in Poland
por: Rogula-Kozłowska, Wioletta, et al.
Publicado: (2013)

Spatial Variation of the Relationship between PM(2.5) Concentrations and Meteorological Parameters in China
por: Lin, Gang, et al.
Publicado: (2015)

Satellite-Based Estimation of Hourly PM(2.5) Concentrations Using a Vertical-Humidity Correction Method from Himawari-AOD in Hebei
por: Zeng, Qiaolin, et al.
Publicado: (2018)

Spatial and Temporal Variations in PM(10) Concentrations between 2010–2017 in South Africa
por: Arowosegbe, Oluwaseyi Olalekan, et al.
Publicado: (2021)

Spatio-Temporal Variation of PM(2.5) Concentrations and Their Relationship with Geographic and Socioeconomic Factors in China
por: Lin, Gang, et al.
Publicado: (2013)

Effects of transboundary PM(2.5) transported from China on the regional PM(2.5) concentrations in South Korea: A spatial panel-data analysis
por: Jun, Myung-Jin, et al.
Publicado: (2023)

An investigation of the PM(2.5) concentrations and cumulative inhaled dose during subway commutes in Changchun, China
por: Chang, L., et al.
Publicado: (2023)

Evaluating trends and seasonality in modeled PM(2.5) concentrations using empirical mode decomposition
por: Luo, Huiying, et al.
Publicado: (2020)

Contrasting trends of PM(2.5) and surface-ozone concentrations in China from 2013 to 2017
por: Wang, Yonghong, et al.
Publicado: (2020)

Spatial and Temporal Variation in PM(2.5) Chemical Composition in the United States for Health Effects Studies
por: Bell, Michelle L., et al.
Publicado: (2007)

Spatial-Temporal Evolution of Health Impact and Economic Loss upon Exposure to PM(2.5) in China
por: Sun, Xialing, et al.
Publicado: (2022)

Spatial-temporal heterogeneity and driving factors of PM(2.5) in China: A natural and socioeconomic perspective
por: She, Yuanyang, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_nd687t9i9lte60kc2q80hg9g9s