improving air quality communication with advanced mapping and data distribution techniques scott a....

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Improving Air Quality Communication with Advanced Mapping and Data Distribution Techniques Scott A. Jackson¹, P. H. Zahn², C. P. MacDonald², D. S. Miller², A. C. Chan², J.E. White¹ . 25th Conference on International Interactive Information and Processing Systems (IIPS) for Meteorology, Oceanography, and Hydrology AMS Annual Meeting Phoenix, Arizona January 14, 2009 ¹EPA Office of Air Quality Planning & Standards, ²Sonoma Technology, Inc.

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Page 1: Improving Air Quality Communication with Advanced Mapping and Data Distribution Techniques Scott A. Jackson¹, P. H. Zahn², C. P. MacDonald², D. S. Miller²,

Improving Air Quality Communication with Advanced Mapping and Data Distribution Techniques

Scott A. Jackson¹, P. H. Zahn², C. P. MacDonald², D. S. Miller², A. C. Chan², J.E. White¹ .

25th Conference on International Interactive Information and Processing Systems (IIPS) for Meteorology, Oceanography, and Hydrology

AMS Annual MeetingPhoenix, ArizonaJanuary 14, 2009

¹EPA Office of Air Quality Planning & Standards, ²Sonoma Technology, Inc.

Page 2: Improving Air Quality Communication with Advanced Mapping and Data Distribution Techniques Scott A. Jackson¹, P. H. Zahn², C. P. MacDonald², D. S. Miller²,

Party Favors

• Access to current air quality conditions and forecasts is important. (e.g. reduces emissions, saves lives).

• AIRNow provides the framework for doing this.

• A new AIRNow system (AIRNow-International) is improving this access through more advanced mapping and data distribution techniques.

• AIRNow-International is linked into the Global Earth Observing System of Systems (GEOSS) in order to promote air quality data sharing worldwide so that people can breathe clean air everywhere (especially urban populations).

Page 3: Improving Air Quality Communication with Advanced Mapping and Data Distribution Techniques Scott A. Jackson¹, P. H. Zahn², C. P. MacDonald², D. S. Miller²,

Pollutants No. of Metropolitan areas

Ozone* 57

PM2.5 32

PM10 17

Background

*According to 2000 census data, 131,977,890 live in ozone nonattainment areas

Non-Attainment Areas

Page 4: Improving Air Quality Communication with Advanced Mapping and Data Distribution Techniques Scott A. Jackson¹, P. H. Zahn², C. P. MacDonald², D. S. Miller²,

Protect public health• Provide understandable information on past, current,

and future air pollution

Reduce emissions to reduce pollution• Regulatory (laws)• Voluntary

Increase public understanding of air pollution• Support laws and regulations• Increase chance of behavior change

Background

Goals:

Page 5: Improving Air Quality Communication with Advanced Mapping and Data Distribution Techniques Scott A. Jackson¹, P. H. Zahn², C. P. MacDonald², D. S. Miller²,

• Air Quality Index (AQI) creates consistency • Links concentrations to health effects and actions

• Ranges from 1 to 500; 101+ is unhealthy

AQI Values

AQI Category(Descriptor)

AQI Color

0 - 50 Good Green

51 - 100 Moderate Yellow

101 - 150 Unhealthy for Sensitive Groups

Orange

151 - 200 Unhealthy Red

201 - 300 Very Unhealthy Purple

301 - 500 Hazardous Maroon

•Actions depend on

– pollutant/ health effects– transport system – culture– incentives– economic level– education/outreach– climate– and more…

AQI of 129

Unhealthy for Sensitive Groups

Action:

Choose a cleaner commute; carpool, use public transportation, bike, or walk

8-hr ozone concentration of 87 ppb

Health Effects:

Irritated respiratory system, coughing, chest tightness, wheezing, or shortness of breath

Daily standard

Background

Page 6: Improving Air Quality Communication with Advanced Mapping and Data Distribution Techniques Scott A. Jackson¹, P. H. Zahn², C. P. MacDonald², D. S. Miller²,

•AIRNow is a national framework for acquiring and distributing air quality information

– Collects, quality assures, and transfers real-time and forecasted air quality information to the public

– Gathers data provided by 120+ federal, state, and local air quality agencies

– Communicates air quality with the AQI– Issues weather/air quality news stories– Partners with national media– Provides air quality education and

outreach

Background

Page 7: Improving Air Quality Communication with Advanced Mapping and Data Distribution Techniques Scott A. Jackson¹, P. H. Zahn², C. P. MacDonald², D. S. Miller²,

AIRNow Data Flow

Background

Page 8: Improving Air Quality Communication with Advanced Mapping and Data Distribution Techniques Scott A. Jackson¹, P. H. Zahn², C. P. MacDonald², D. S. Miller²,

More Advanced Mapping

Current Real-Time Air Quality Maps

PM2.5 Bubble Map Ozone Contour Map

Page 9: Improving Air Quality Communication with Advanced Mapping and Data Distribution Techniques Scott A. Jackson¹, P. H. Zahn², C. P. MacDonald², D. S. Miller²,

Goals for New Maps:• Accurate maps: Interpolated AQI is

consistent with observations at stations.

• Spatially complete maps: use statistical interpolation techniques to provide easy-to-read maps with information in areas without monitors

• Combined AQI maps: display the maximum AQI at each point, regardless of pollutant.

• A statistical technique tomask off areas with sparsemeasurements

Example PM2.5 map

More Advanced Mapping

Page 10: Improving Air Quality Communication with Advanced Mapping and Data Distribution Techniques Scott A. Jackson¹, P. H. Zahn², C. P. MacDonald², D. S. Miller²,

Method of Map Development and Production• ESRI ArcGIS: a powerful multi-faceted map analysis and

production tool • Geostatistical Analyst and Spatial Analyst toolboxes in ArcGIS

– Provide a suite of interpolation techniques and error measures for evaluation

– Can be used to produce maps in real-time using the same techniques developed in this analysis.

• Map products are visually appealing, accurate, and easy to modify as needed

More Advanced Mapping (3 of 7)

Page 11: Improving Air Quality Communication with Advanced Mapping and Data Distribution Techniques Scott A. Jackson¹, P. H. Zahn², C. P. MacDonald², D. S. Miller²,

Summary for all ozone cases

Results of Map Analysis: Ozone

Method RMS Error Std. Dev.

IDW 1.56 0.28

Kriging 6.56 1.64

Reg. Spline 5.24 2.20

Tension Spline 2.27 0.29

Constr. Kriging 1.77 0.29

IDW Kriging Regularized Spline Observations

Tension Spline Constrained Kriging Interpolation Error (ppb)

More Advanced Mapping (4 of 7)

Page 12: Improving Air Quality Communication with Advanced Mapping and Data Distribution Techniques Scott A. Jackson¹, P. H. Zahn², C. P. MacDonald², D. S. Miller²,

• Select maximum AQI for each location• Produce AQI values for areas that are masked out for one

parameter, but not for another

Ozone with mask PM2.5 with mask

Combined AQI with mask

More Advanced MappingCombined AQI Maps

Page 13: Improving Air Quality Communication with Advanced Mapping and Data Distribution Techniques Scott A. Jackson¹, P. H. Zahn², C. P. MacDonald², D. S. Miller²,

Animation of fused model and agency

forecasts

NOAA Model Max Agency Max

More Advanced Mapping

Data Fusion: Integrating multiple sources of air quality information• Station observations and model output• Agency forecasts and model predictions (example below)

Observed Max

Page 14: Improving Air Quality Communication with Advanced Mapping and Data Distribution Techniques Scott A. Jackson¹, P. H. Zahn², C. P. MacDonald², D. S. Miller²,

AIRNow-International

– Ground-up redesign of the U.S. AIRNow system• Transitioning from Oracle to Microsoft SQL Server• New GIS-based Mapping System (AIRNow Mapper)• Information Services (Service-Oriented Architecture

approach)– RSS, CAP, KML, NETCDF, SMS text messages

– Provides new, international features:• Multiple language support• World-wide mapping capability

– Built with open components that can be adopted by any state, country or province

Page 15: Improving Air Quality Communication with Advanced Mapping and Data Distribution Techniques Scott A. Jackson¹, P. H. Zahn², C. P. MacDonald², D. S. Miller²,

Administrationof the

System

AIRNow

Data

Management

System

(DMS)

AIRNow

Information

ServiceAIRNow

MapperWeb

Service

AIRNow Database

DataFiles Web Services*

DataFiles*

Maps*Image layers*

Data Inputs Processing, QA, Reporting Outputs

*Outputs will conform to standards to promote

sharing and interoperability

= file

= web service

= module

= data/info transfer

AIRNow-International

Page 16: Improving Air Quality Communication with Advanced Mapping and Data Distribution Techniques Scott A. Jackson¹, P. H. Zahn², C. P. MacDonald², D. S. Miller²,

• Supports and embraces the Global Earth Observation System of Systems (GEOSS) concept– Group on Earth Observations is a voluntary partnership of governments

and international organizations– Interconnecting existing and future Earth observation systems

• AIRNow-International can helpcountries participate in the sharingof air quality data

AIRNow-International

Page 17: Improving Air Quality Communication with Advanced Mapping and Data Distribution Techniques Scott A. Jackson¹, P. H. Zahn², C. P. MacDonald², D. S. Miller²,

Party Favors

• Access to current air quality conditions and forecasts is important. (e.g. reduces emissions, saves lives).

• AIRNow provides the framework for doing this.

• A new AIRNow system (AIRNow-International) is improving this access through more advanced mapping and data distribution techniques.

• AIRNow-International is linked into the Global Earth Observing System of Systems (GEOSS) in order to promote air quality data sharing worldwide so that people can breathe clean air everywhere (especially urban populations).

Page 18: Improving Air Quality Communication with Advanced Mapping and Data Distribution Techniques Scott A. Jackson¹, P. H. Zahn², C. P. MacDonald², D. S. Miller²,

Contact Information

Scott Jackson

US EPA

AIRNow Program – www.airnow.gov

[email protected]

919-541-5647