Outline

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Architecture and Technologies for an Agile,
User-Oriented Air Quality Data System

• Outline
• Highlight Trends of Air Quality Sensing and
  Management
• Describe an Agile IS Architecture for Air Quality
  Decision Support
• Show Their Application Through Two Use Cases

Rudolf B. Husar Washington University, St.
Louis Presented at the workshop The User and
the GEOSS Architecture Applications for North
America July 30, 2006, Denver
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Changes in Air Quality Management
Command Control
Weight of Evidence
Flexible NAAMS
Rigid Monitoring
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Real-time Air Pollution Sensing and Reporting
Smoke Plumes
High Resolution Satellite Data
Surface PM25 and Ozone Data
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Generic Decision Support for Air Quality Decisions
ReportsModel Forecasts, Obs. Evidence
Models
Knowledge into the Minds of Technical
Analysts
Decisions
Knowledge into the Minds of Decision- making
managers
Knowledge into the Minds ofRegulatory Analysts
Observations
Decision Support System
GEOSS Architecture Framework
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Key Technical Challenge Characterization

• Pollutant characterization requires many
  different instruments and analysis tools.
• Each sensor/network covers only a fraction of the
  6-8 dimensional data space.
• Other sensors provide only integral measures of
  the pollution, e.g. satellite - vertical
  integral.

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Information Providers Geography, Content,
Agency, Form
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Users By Types, Agency, Info Needs
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Data Acquisition and Usage Activities(Select
View Show, click to step through PPT)
Usage Activities
Data Acquisition

• The data life cycle consists of the acquisition
  and the usage parts

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