Daily and Annual PM2.5, O3, and NO2 Concentrations at ZIP Codes for the Contiguous U.S., 2000-2016, v1.0
Identification_Information
Spatial_Reference_Information
Distribution_Information
Metadata_Reference_Information
Identification Information
Section Index
Citation:
Citation Information:
Originator: Wei, Y., X. Xing, A. Shtein, E. Castro, C. Hultquist, M. D. Yazdi, L. Li, and J. Schwartz
Publication Date: 20221209
Title: Daily and Annual PM2.5, O3, and NO2 Concentrations at ZIP Codes for the Contiguous U.S., 2000-2016, v1.0
Edition: 1.00
Geospatial Data Presentation Form: tabular
Publication Information:
Publication Place: Palisades, NY
Publisher: NASA Socioeconomic Data and Applications Center (SEDAC)
Online Linkage: https://doi.org/10.7927/9yp5-hz11
Larger Work Citation:
Citation Information:
Originator: Wei, Y., X. Qui, M. D. Yazdi, A. Shtein, L. Shi, J. Yang, A. A. Peralta, B. A. Coull, and J. Schwartz
Publication Date: 20220729
Title: Impact of Exposure Measurement Error on Est. Concentration-resp. Relationship Between Long-term PM2.5 Exposure and Mortality
Geospatial Data Presentation Form: journal article
Series Information:
Series Name: Environmental Health Perspectives
Issue Identification: 130(7): 077006
Online Linkage: https://doi.org/10.1289/EHP10389
Description:
Abstract:
The Daily and Annual PM2.5, O3, and NO2 Concentrations at ZIP Codes for the Contiguous U.S., 2000-2016, v1.0 data set contains daily and annual concentration predictions for Fine Particulate Matter (PM2.5), Ozone (O3), and Nitrogen Dioxide (NO2) pollutants at ZIP Code-level for the years 2000 to 2016. Ensemble predictions of three machine-learning models were implemented (Random Forest, Gradient Boosting, and Neural Network) to estimate the daily concentrations at the centroids of 1km x 1km grid cells across the contiguous U.S. for 2000 to 2016. The predictors included air monitoring data, satellite aerosol optical depth, meteorological conditions, chemical transport model simulations, and land-use variables. The ensemble models demonstrated excellent predictive performance with 10-fold cross-validated R-squared values of 0.86 for PM2.5, 0.86 for O3, and 0.79 for NO2. The predictions allow for estimates of ZIP Code-level pollution concentrations. For general ZIP Codes with polygon representations, pollution levels were estimated by averaging the predictions of grid cells whose centroids lie inside the polygon of that ZIP Code; for other ZIP Codes such as Post Offices or large volume single customers, they were treated as a single point and predicted their pollution levels by assigning the predictions using the nearest grid cell. The polygon shapes and points with latitudes and longitudes for ZIP Codes were obtained from Esri and the U.S. ZIP Code Database and were updated annually. The data include about 31,000 general ZIP Codes with polygon representations, and about 10,000 ZIP Codes as single points. Compared with the 1km grid data, the ZIP Code-level predictions are much smaller in size and are manageable in personal computing environments. This greatly improves the inclusion of scientists in different fields by lowering the key barrier to participation in air pollution research. The units are µg/m^3 for PM2.5 and ppb for O3 and NO2.
Purpose:
To provide daily and annual Fine Particulate Matter (PM2.5), Ozone (O3), and Nitrogen Dioxide (NO2) concentrations data at ZIP Codes for the contiguous U.S. for research in environmental epidemiology, environmental justice, and health equity by linking with ZIP Code-level demographic and medical data sets, and for other related research.
Time Period of Content:
Time Period Information:
Range of Dates/Times:
Beginning Date: 2000/01/01
Ending Date: 2016/12/31
Currentness Reference: publication date
Status:
Progress: Complete
Maintenance and Update Frequency: As needed
Spatial Domain:
Bounding Coordinates:
West Bounding Coordinate: -180.000000
East Bounding Coordinate: -65.000000
North Bounding Coordinate: 72.000000
South Bounding Coordinate: 17.000000
Keywords:
Theme:
Theme Keyword Thesaurus: SEDAC Theme
Theme Keyword: Health
Theme Keyword: Sustainability
Theme Keyword: Urban
Theme:
Theme Keyword Thesaurus: GCMD Science Keywords, Version 8.6
Theme Keyword: EARTH SCIENCE > ATMOSPHERE > AEROSOLS > PARTICULATE MATTER
Theme Keyword: EARTH SCIENCE > ATMOSPHERE > AIR QUALITY > PARTICULATES
Theme Keyword: EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC CHEMISTRY > NITROGEN COMPOUNDS > NITROGEN DIOXIDE
Theme:
Theme Keyword Thesaurus: Data Granularity
Theme Keyword: Country
Theme:
Theme Keyword Thesaurus: ISO Topic
Theme Keyword: Environment
Theme Keyword: Health
Place:
Place Keyword Thesaurus: CIESIN Location Terms, Version 3.1
Place Keyword: United States of America
Access Constraints: None
Use Constraints:
This work is licensed under the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Users are free to use, copy, distribute, transmit, and adapt the work for commercial and non-commercial purposes, without restriction, as long as clear attribution of the source is provided
Point of Contact:
Contact Information:
Contact Organization Primary:
Contact Organization: NASA Socioeconomic Data and Applications Center (SEDAC)
Contact Address:
Address Type: mailing and physical address
Address: CIESIN, Columbia University, 61 Route 9W, P.O. Box 1000
City: Palisades
State or Province: New York
Postal Code: 10964
Country: United States
Contact Voice Telephone: +1 845-365-8920
Contact Facsimile Telephone: +1 845-365-8922
Contact Electronic Mail Address: ciesin.info@ciesin.columbia.edu
Browse Graphic:
Cross Reference:
Citation Information:
Originator: Wei, Y., X. Qiu, M. D. Yazdi, A. Shtein, L. Shi, J. Yang, A. A. Peralta, B. A. Coull, and J. Schwartz
Publication Date: 20220501
Title: Air Pollutants and Asthma Hospitalization in the Medicaid Population
Series Information:
Series Name: American Journal of Respiratory and Critical Care Medicine
Issue Identification: 205(9): 1075-1083
Online Linkage: https://doi.org/10.1164/rccm.202107-1596OC
Cross Reference:
Citation Information:
Originator: Jbaily, A., X. Zhou, J. Liu, T. H. Lee, L. Kamareddine, S. Verguet, and F. Dominici
Publication Date: 20220112
Title: Air Pollution Exposure Disparities Across US Population and Income Groups
Series Information:
Series Name: Nature
Issue Identification: 601:228-233
Online Linkage: https://doi.org/10.1038/s41586-021-04190-y
Cross Reference:
Citation Information:
Originator: Qiu, X., Y. Wei, Y., M. Weisskopf, A. Spiro, L. Shi, E. Castro, B. A. Coull, P. Koutrakis, and J. Schwartz
Publication Date: 20221023
Title: Air Pollution, Climate Conditions and Risk of Hospital Admissions for Psychotic Disorders in US Residents
Series Information:
Series Name: Environmental Research
Issue Identification: 216(2): 114636
Online Linkage: https://doi.org/10.1016/j.envres.2022.114636
Spatial Reference Information
Section Index
Horizontal Coordinate System Definition:
Geographic:
Latitude Resolution: 0.008330
Longitude Resolution: 0.008330
Geographic Coordinate Units: Decimal degrees
Geodetic Model:
Horizontal Datum Name: WGS84
Ellipsoid Name: WGS84
Semi-major Axis: 6378137.000000
Denominator of Flattening Ratio: 298.257224
Distribution Information
Section Index
Distributor:
Contact Information:
Contact Organization Primary:
Contact Organization: NASA Socioeconomic Data and Applications Center (SEDAC)
Contact Address:
Address Type: mailing and physical address
Address: CIESIN, Columbia University, 61 Route 9W, P.O. Box 1000
City: Palisades
State or Province: New York
Postal Code: 10964
Country: United States
Contact Voice Telephone: +1 845-365-8920
Contact Facsimile Telephone: +1 845-365-8922
Contact Electronic Mail Address: ciesin.info@ciesin.columbia.edu
Resource Description: CIESIN_SEDAC_AQDH_PM25O3NO2_ZIPCODE
Distribution Liability:
CIESIN follows procedures designed to ensure that data disseminated by CIESIN are of reasonable quality. If, despite these procedures, users encounter apparent errors or misstatements in the data, they should contact SEDAC User Services at +1 845-365-8920 or via email at ciesin.info@ciesin.columbia.edu. Neither CIESIN nor NASA verifies or guarantees the accuracy, reliability, or completeness of any data provided. CIESIN provides this data without warranty of any kind whatsoever, either expressed or implied. CIESIN shall not be liable for incidental, consequential, or special damages arising out of the use of any data provided by CIESIN.
Standard Order Process:
Ordering Instructions: The data in RData (.rds), and Comma-Separated Values File (.csv) formats are available from the NASA Socioeconomic Data and Applications Center (SEDAC).
Standard Order Process:
Digital Form:
Digital Transfer Information:
Format Name: Rdata
File Decompression Technique: unzip
Digital Transfer Option:
Online Option:
Computer Contact Information:
Access Instructions: Data accessible via the data set landing page.
Digital Form:
Digital Transfer Information:
Format Name: CSV
File Decompression Technique: unzip
Digital Transfer Option:
Online Option:
Computer Contact Information:
Access Instructions: Data accessible via the data set landing page.
Standard Order Process:
Available Time Period:
Time Period Information:
Range of Dates/Times:
Beginning Date: 2022/12/09
Ending Date: Present
Metadata Reference Information
Section Index
Metadata Date: 2022/11/10
Metadata Review Date: 2023/02/21
Metadata Contact:
Contact Information:
Contact Organization Primary:
Contact Organization: Center for International Earth Science Information Network (CIESIN) Metadata Administration
Contact Address:
Address Type: mailing and physical address
Address: CIESIN, Columbia University, 61 Route 9W, P.O. Box 1000
City: Palisades
State or Province: New York
Postal Code: 10964
Country: United States
Contact Voice Telephone: +1 845-365-8988
Contact Facsimile Telephone: +1 845-365-8922
Contact Electronic Mail Address: metadata@ciesin.columbia.edu
Metadata Standard Name: FGDC Content Standards for Digital Geospatial Metadata
Metadata Standard Version: FGDC-STD-001-1998
Metadata Time Convention: local time
GeoMedia
Catalog report generated Tuesday, February 21, 2023