Quantifying local creation and regional transport using a hierarchical space-time model of ozone as a function of observed \(\text{NO}_{\text{x}}\), a latent space-time VOC process, emissions, and meteorology

DOI10.1007/s13253-010-0028-4zbMath1306.62315OpenAlexW1975176366WikidataQ57436653 ScholiaQ57436653MaRDI QIDQ2260201

Jacqueline M. Hughes-Oliver, John F. Monahan, Amy J. Nail

Publication date: 5 March 2015

Published in: Journal of Agricultural, Biological, and Environmental Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s13253-010-0028-4

zbMATH Keywords

transportair pollutionspace-time modelprecursorsvolatile organic compounds (VOC)

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12) Environmental economics (natural resource models, harvesting, pollution, etc.) (91B76) Meteorology and atmospheric physics (86A10)

Related Items (1)

A class of covariate-dependent spatiotemporal covariance functions for the analysis of daily ozone concentration

Cites Work

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• A spatio-temporal downscaler for output from numerical models
• A Spatiotemporal Model for Mexico City Ozone Levels
• High-Resolution Space–Time Ozone Modeling for Assessing Trends
• Ozone Exposure and Population Density in Harris County, Texas

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