Published August 2018 | Version v1
Journal article

Predicting daily PM2.5 concentrations in Texas using high-resolution satellite aerosol optical depth

  • 1. Department of Epidemiology, Human Genetics and Environmental Sciences, The University of Texas Health Science Center at Houston School of Public Health, Houston, TX 77030 (United States)
  • 2. Department of Biostatistics, The University of Texas Health Science Center at Houston School of Public Health, Houston, TX 77030 (United States)
  • 3. Department of Earth System Sciences, Tsinghua University, Beijing 100084 (China)
  • 4. Department of Earth and Atmospheric Sciences, University of Houston, Houston, TX 77204 (United States)
  • 5. Southwest Center for Occupational and Environmental Health, The University of Texas Health Science Center at Houston School of Public Health, Houston, TX 77030 (United States)

Description

Highlights: • We developed exposure models to predict PM2.5 levels in Texas using the 1-km AOD. • Mixed-effects models showed great prediction performance (CV R2: 0.63–0.69). • Better model performance occurred in Eastern Texas with more urban areas. The regulatory monitoring data of particulate matter with an aerodynamic diameter < 2.5 μm (PM2.5) in Texas have limited spatial and temporal coverage. The purpose of this study is to estimate the ground-level PM2.5 concentrations on a daily basis using satellite-retrieved Aerosol Optical Depth (AOD) in the state of Texas.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.scitotenv.2018.02.255

Additional details

Identifiers

DOI
10.1016/j.scitotenv.2018.02.255;
PII
S0048969718306557;

Publishing Information

Journal Title
Science of the Total Environment
Journal Volume
631
Journal Page Range
p. 904-911
ISSN
0048-9697
CODEN
STENDL

INIS

Country of Publication
Netherlands
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
53043828
Subject category
S54: ENVIRONMENTAL SCIENCES;
Descriptors DEI
AERODYNAMICS; AEROSOLS; ECOLOGICAL CONCENTRATION; GROUND LEVEL; LAND USE; MONITORING; PARTICULATES; SATELLITES; TEXAS; URBAN AREAS
Descriptors DEC
COLLOIDS; DEVELOPED COUNTRIES; DISPERSIONS; FLUID MECHANICS; LEVELS; MECHANICS; NORTH AMERICA; PARTICLES; SOLS; USA

Optional Information

Copyright
Copyright (c) 2018 Elsevier B.V. All rights reserved.