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
Management of Air Quality Monitoring Data
Mar 16, 2016
National Park Service U.S. Department of the Interior Air Resources Division. Management of Air Quality Monitoring Data. Debbie Miller. Overview. The NPS has a mandate to protect air quality and related values in national parks - PowerPoint PPT Presentation
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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 DataDebbie Miller
National Park ServiceU.S. Department of the InteriorAir Resources Division
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 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
E X P E R I E N C E Y O U R A M E R I C A
Overview (cont) 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
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
E X P E R I E N C E Y O U R A M E R I C A
Air Quality Monitoring Data Types of data include:
24-hour particulate concentrations (every 3rd day)
weekly wet deposition hourly ozone concentrations hourly meteorological measurements weekly ozone concentrations weekly particulate concentrations weekly dry deposition hourly SO2, NO, NO2, CO concentrations 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
Data Handling 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
Particulate samples are analyzed by different labs, data collected and stored by contractor
Wet deposition samples managed by National Atmospheric Deposition Program
Dry deposition data collected and maintained by EPA contractor
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
Data Processing Many summary statistics are created from raw
data Used to evaluate status of parks and trends in
data Examples include:
annual 4th-highest 8-hour ozone concentration 3-year average of the annual maximum 3-month
ozone W126 sum mean annual visibility on 20% best and 20%
worst days number of days exceeding ozone standard annual mean wet deposition concentrations and
deposition 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
Data Processing ARD creates many of the calculated statistics Data ingested from various sources using SAS
statistical software Programs generate various ozone and visibility
statistics Other statistics such as deposition parameters
created by other agencies 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
Limitations Most raw data available through some type of
on-line retrieval system; not all are public Some calculated statistics available, but many
are not Retrievals require fair degree of expertise Must be able to ingest and process large text
files No consistent file format Must visit different web sites 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
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
E X P E R I E N C E Y O U R A M E R I C A
E X P E R I E N C E Y O U R A M E R I C A
E X P E R I E N C E Y O U R A M E R I C A
The Future Development of consolidated data access
application underway Use existing databases where possible Add information not already present (additional
metadata, calculated parameters, etc.) New park-centered interface—focus on specific
needs of NPS users Fit into existing IRMA structure
Add report-ready products (plots, tables, etc.)
Data Locations
E X P E R I E N C E Y O U R A M E R I C A
ARD/DenverHourly O3 (US)Trend resultsInterpolated data Mapping applicationsMetadata (site, park, usage notes)Calculated O3 parametersSAS programsOther data sets (?)
EPA/AQS (limited access)
Hourly O3 (US)NPS O3CASTNET (O3, dry dep)Met data (US)Other pollutants (SO2, NOx, toxics, etc)
New DB/query application
CSU/VIEWSVisibility data/RHR resultsHourly O3 (US), deposition, WX, other AQS data
ARS/Ft CollinsNPS O3 hourlySome calculated O3Live O3NPS met dataPortable O3Passive O3
NADPWet depositionMercury deposition
E X P E R I E N C E Y O U R A M E R I C A
Air Resources DivisionLakewood, Colorado
http://www.nature.nps.gov/air/303-987-6947
National Park ServiceU.S. Department of the Interior
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