1. E X P E R I E N C E Y O U R A M E R I C A Management of Air Quality Monitoring Data Debbie Miller National Park Service U.S. Department of the Interior Air Resources Division

2. E X P E R I E N C E Y O U R A M E R I C A Overview The NPS has a mandate to protect air quality and related values in national parks The NPS has a mandate to protect air quality and related values in national parks The Environmental Protection Agency establishes air quality standards for six criteria pollutants that must be met nationwide The Environmental Protection Agency establishes air quality standards for six criteria pollutants that must be met nationwide The Air Resources Division uses monitoring data to assess air quality conditions at parks across the country The Air Resources Division uses monitoring data to assess air quality conditions at parks across the country

3. Overview (cont) Some parks receive special protection under the Clean Air Act; most NPS-funded monitoring occurs in these “Class I” areas Some parks receive special protection under the Clean Air Act; most NPS-funded monitoring occurs in these “Class I” areas Some monitoring in parks is funded by other agencies Some monitoring in parks is funded by other agencies ARD also uses data from monitors outside parks ARD also uses data from monitors outside parks E X P E R I E N C E Y O U R A M E R I C A

5. Air Quality Monitoring Data Types of data include: Types of data include: 24-hour particulate concentrations (every 3 rd day) 24-hour particulate concentrations (every 3 rd day) weekly wet deposition weekly wet deposition hourly ozone concentrations hourly ozone concentrations hourly meteorological measurements hourly meteorological measurements weekly ozone concentrations weekly ozone concentrations weekly particulate concentrations weekly particulate concentrations weekly dry deposition weekly dry deposition hourly SO 2, NO, NO 2, CO concentrations hourly SO 2, NO, NO 2, CO concentrations hourly light extinction and scattering measurements hourly light extinction and scattering measurements E X P E R I E N C E Y O U R A M E R I C A

6. Data Handling Most NPS raw data are collected by contractors Most NPS raw data are collected by contractors Continuous ozone and meteorology data are validated by contractor and uploaded to national EPA air quality database Continuous ozone and meteorology data are validated by contractor and uploaded to national EPA air quality database Particulate samples are analyzed by different labs, data collected and stored by contractor Particulate samples are analyzed by different labs, data collected and stored by contractor Wet deposition samples managed by National Atmospheric Deposition Program Wet deposition samples managed by National Atmospheric Deposition Program Dry deposition data collected and maintained by EPA contractor Dry deposition data collected and maintained by EPA contractor Non-NPS data are collected and validated by states, tribes, and local air quality agencies Non-NPS data are collected and validated by states, tribes, and local air quality agencies E X P E R I E N C E Y O U R A M E R I C A

7. Data Processing Many summary statistics are created from raw data Many summary statistics are created from raw data Used to evaluate status of parks and trends in data Used to evaluate status of parks and trends in data Examples include: Examples include: annual 4 th -highest 8-hour ozone concentration annual 4 th -highest 8-hour ozone concentration 3-year average of the annual maximum 3-month ozone W126 sum 3-year average of the annual maximum 3-month ozone W126 sum mean annual visibility on 20% best and 20% worst days mean annual visibility on 20% best and 20% worst days number of days exceeding ozone standard number of days exceeding ozone standard annual mean wet deposition concentrations and deposition annual mean wet deposition concentrations and deposition maximum 3-month ozone SUM06 maximum 3-month ozone SUM06 E X P E R I E N C E Y O U R A M E R I C A

8. Data Processing ARD creates many of the calculated statistics ARD creates many of the calculated statistics Data ingested from various sources using SAS statistical software Data ingested from various sources using SAS statistical software Programs generate various ozone and visibility statistics Programs generate various ozone and visibility statistics Other statistics such as deposition parameters created by other agencies Other statistics such as deposition parameters created by other agencies ARD stores a large amount of raw and processed data for quick access ARD stores a large amount of raw and processed data for quick access E X P E R I E N C E Y O U R A M E R I C A

9. Limitations Most raw data available through some type of on-line retrieval system; not all are public Most raw data available through some type of on-line retrieval system; not all are public Some calculated statistics available, but many are not Some calculated statistics available, but many are not Retrievals require fair degree of expertise Retrievals require fair degree of expertise Must be able to ingest and process large text files Must be able to ingest and process large text files No consistent file format No consistent file format Must visit different web sites Must visit different web sites Current system results in duplication of efforts Current system results in duplication of efforts E X P E R I E N C E Y O U R A M E R I C A

10. EPA Data Format # RD|Action Code|State Code|County Code|Site ID|Parameter|POC|Sample Duration|Unit|Method|Date|Start Time|Sample Value|Null Data Code|Sampling Frequency|Monitor Protocol (MP) ID|Qualifier - 1|Qualifier - 2|Qualifier - 3|Qualifier - 4|Qualifier - 5|Qualifier - 6|Qualifier - 7|Qualifier - 8|Qualifier - 9|Qualifier - 10|Alternate Method Detectable Limit|Uncertainty # RC|Action Code|State Code|County Code|Site ID|Parameter|POC|Unit|Method|Year|Period|Number of Samples|Composite Type|Sample Value|Monitor Protocol (MP) ID|Qualifier - 1|Qualifier - 2|Qualifier - 3|Qualifier - 4|Qualifier - 5|Qualifier - 6|Qualifier - 7|Qualifier - 8|Qualifier - 9|Qualifier - 10|Alternate Method Detectable Limit|Uncertainty RD|I|01|003|0010|44201|1|1|007|047|20080301|00:00||BF||||||||||||||RD|I|01|003|0010|44201|1|1|007|047|20080301|01:00|0.011|||||||||||||||RD|I|01|003|0010|44201|1|1|007|047|20080301|02:00|0.014|||||||||||||||RD|I|01|003|0010|44201|1|1|007|047|20080301|03:00|0.012|||||||||||||||RD|I|01|003|0010|44201|1|1|007|047|20080301|04:00|0.001|||||||||||||||RD|I|01|003|0010|44201|1|1|007|047|20080301|05:00|0.002|||||||||||||||RD|I|01|003|0010|44201|1|1|007|047|20080301|06:00|0.001|||||||||||||||RD|I|01|003|0010|44201|1|1|007|047|20080301|07:00|0.014|||||||||||||||RD|I|01|003|0010|44201|1|1|007|047|20080301|08:00|0.030|||||||||||||||RD|I|01|003|0010|44201|1|1|007|047|20080301|09:00|0.043|||||||||||||||RD|I|01|003|0010|44201|1|1|007|047|20080301|10:00|0.041|||||||||||||||RD|I|01|003|0010|44201|1|1|007|047|20080301|11:00|0.045|||||||||||||||RD|I|01|003|0010|44201|1|1|007|047|20080301|12:00|0.047|||||||||||||||RD|I|01|003|0010|44201|1|1|007|047|20080301|13:00|0.048|||||||||||||||RD|I|01|003|0010|44201|1|1|007|047|20080301|14:00|0.051|||||||||||||||RD|I|01|003|0010|44201|1|1|007|047|20080301|15:00|0.052|||||||||||||||RD|I|01|003|0010|44201|1|1|007|047|20080301|16:00|0.053|||||||||||||||RD|I|01|003|0010|44201|1|1|007|047|20080301|17:00|0.047|||||||||||||||RD|I|01|003|0010|44201|1|1|007|047|20080301|18:00|0.041|||||||||||||||RD|I|01|003|0010|44201|1|1|007|047|20080301|19:00|0.036|||||||||||||||RD|I|01|003|0010|44201|1|1|007|047|20080301|20:00|0.015|||||||||||||||RD|I|01|003|0010|44201|1|1|007|047|20080301|21:00|0.010|||||||||||||||RD|I|01|003|0010|44201|1|1|007|047|20080301|22:00|0.003|||||||||||||||RD|I|01|003|0010|44201|1|1|007|047|20080301|23:00|0.005||||||||||||||| E X P E R I E N C E Y O U R A M E R I C A

14. The Future Development of consolidated data access application underway Development of consolidated data access application underway Use existing databases where possible Use existing databases where possible Add information not already present (additional metadata, calculated parameters, etc.) Add information not already present (additional metadata, calculated parameters, etc.) New park-centered interface—focus on specific needs of NPS users New park-centered interface—focus on specific needs of NPS users Fit into existing IRMA structure Fit into existing IRMA structure Add report-ready products (plots, tables, etc.) Add report-ready products (plots, tables, etc.) E X P E R I E N C E Y O U R A M E R I C A

15. Data Locations E X P E R I E N C E Y O U R A M E R I C A ARD/Denver Hourly O3 (US) Trend results Interpolated data Mapping applications Metadata (site, park, usage notes) Calculated O3 parameters SAS programs Other data sets (?) EPA/AQS (limited access ) Hourly O3 (US) NPS O3 CASTNET (O3, dry dep) Met data (US) Other pollutants (SO2, NOx, toxics, etc) New DB/query application CSU/VIEWS Visibility data/RHR results Hourly O3 (US), deposition, WX, other AQS data ARS/Ft Collins NPS O3 hourly Some calculated O3 Live O3 NPS met data Portable O3 Passive O3 NADP Wet deposition Mercury deposition

16. E X P E R I E N C E Y O U R A M E R I C A Air Resources Division Lakewood, Colorado http://www.nature.nps.gov/air/303-987-6947 National Park Service U.S. Department of the Interior