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3SAQS/WAQS Monitoring Network Assessments

The WAQS MNA Wiki contains links to supplementary materials for the 2017 WAQS MNA Final Report, as well as a meeting archive for the WAQS MNA Workgroup. Materials for the 2014 3SAQS MNA are also provided in the wiki.

Note: The map based images are high resolution. After opening image files in your browser, click on an area of interest to view at higher resolution.

3SAQS 2014

3SAQS Monitoring Network Assessment Technical Memo (9 June, 2014)
3SAQS Network Recommendations (27 Feb., 2014)
Document Archive
Cost Survey

WAQS 2017

Final Report

WAQS Monitoring Network Assessment Final Report (3 Nov., 2017)

Meetings

WAQS Monitoring Network Assessment Working Group Meetings
WAQS OC 2017.11.06.pptx (6 Nov., 2017)

Monitoring Sites

Tabular Data

Monitors (monitors in the WAQS region. Data fromaqs_monitors.csvfile, 26 May, 2017 update)

Maps


By Monitored Parameters (Parameters cconsidered in the WAQS MNA)
All monitors non-overlapping labels
All monitors overlapping labels
O3 and Precursors O3, NO2, VOCs (with ethane and formaldehyde)
PM2.5
inclues FRM/FEM and non-FRM/FEM PM2.5 monitors
PM2.5 Raw and Total
Ions and Ammonia
Sulfate and Nitrate ion, and AMoM NH3
Meteorology
Wind speed and Temperature
NADP sites
AMoN and NTN

By Agency and/or Organization
Tribes
EPA-NPS (N/A)
USFS (N/A)
BLM
Colorado-DPHE (N/A)
Wyoming-DEQ (N/A)
Utah-DEQ (N/A)
Montana-DEQ (N/A)
Dakotas (N/A)
Other (N/A)

Current Conditions

4th Highest Maximum Daily 8-hour average (MD8). Calculated in the WAQS MNA using EPA's 8-hour average data (2016-12-23 update)
2010 2011 2012 2013 2014 2015

2013-2015 County Level DVs1 (overlaid with Site Level 2015 O3MD8s from WAQS MNA)
O3 MD8
O3 MD8 zoom to show counties with monitor(s) > 70ppb

2014-2016 County Level DVs12 (overlaid with with monitor locations)23
[O3 MD8]
[O3 MD8] zoom to show non-attainment Counties
[NO2 1-hour]
[NO2 annual]
[PM2.5 24-hour]
[PM2.5 24-hour] with CIA overlay
[PM2.5 annual]
[PM2.5 24-hour NAAs] WAQS Region
[PM2.5 24-hour NAAs] zoom to Wasatch Front

Correlation Analysis

Maps showing locations of highly correlated monitors, as defined in the MNA Report.
Monitors correlated above regression criteria (R2>0.8, average concentration within 10%, 15% for NO2) 4


O3 NO2 PM2.5
Top 10 most highly correlated by parameter


Tabular data Monitor Correlation Tables


Monitor-to-monitor correlation analysis Plot Archive
Plot Archive file name convention: monitor1_monitor2_parameter_R_D_N.png, where monitor1 and monitor2 are the IDs for the monitors being compared, parameter is monitored parameter, R is the correlation coefficient, D is the distance (km) between monitor pairs, and N is the number of data points in the comparison.


Correlograms Plot Archive
Plot Archive file name convention: parameter_airshed_n.png, for example NO2_2_250.png refers to correlograms for NO2 monitors in airshed #2 using monitor pairs with at least 250 (n>=250) data points for comparison. Plots with "dw" have an inverse distance weighting function applied to the curve fit.

Representative Area

Gap Analysis

Maps showing monitor locations, O&G wells, population centers. PM2.5 maps show Class I Areas.

Colorado
O3 NO2 O3&NO2 PM2.5 (O3 and NO2 maps include well locations for 'approved and pending' permits)

Wyoming
O3 NO2 O3&NO2 PM2.5

Utah
O3 NO2 O3&NO2 PM2.5

New Mexico
O3 NO2 O3&NO2 PM2.5

Montana
O3 NO2 O3&NO2 PM2.5

North and South Dakota
O3 NO2 O3&NO2 PM2.5

Emissions Analysis

WAQS 2011b v2 O&G Sector Emissions
VOCs Emissions Wells Monitor Rankings
NMHC Emissions Wells Monitor Rnkings
NOx Emissions Wells Monitor Rankings
FP Emissions Wells Monitor Rankings

______________________________________________
1. EPA 2017, Map Service: USEPA Office of Environmental Information (OEI). Data: U.S. EPA Office of Air and Radiation (OAR) - Office of Air Quality, downloaded on Oct. 11, 2017 https://gispub.epa.gov/arcgis/rest/services/OAR_OAQPS/DesignValueServicesOAQPS/MapServer

2. 2014-2016 Design Value maps are overlaid with active monitoring locations, rather than site level MD8s, because data for 2016 O3 MD8s were not available at the time this analysis.

3. EPA 2017.

4. Highly correlated monitors are defined in the MNA as being correlated with another monitor with a regression coiefficient (R2) >0.8 and average concentration within 10%. The average concentration criteria was set to 15% for NO2. Regressions use all available matching (that is, days where both monitor report data) 24-hour average data.