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Data System Name:
Data System URL:
Contact Name:
Contact e-mail:
About the Data System (Purpose, Audience): The audience, at present, is INTERNAL EPA analysts, application builders, and data integrators. AIRQuest was constructed as a true data warehouse, built to integrate data from various source data systems, to enable complete air quality analyses from a single system. AIRQuest harvests data from AQS, NEI, and AIRNow, integrating that data spatially and temporally. It also features datasets outside of EPA that are useful for analysis -- meteorological, census, etc.
Data Summit Presentation:
History: AIRQuest evolved from an OAQPS internal need for access to integrated data, without having to comb through a variety of source data systems. The vision was to develop a single source of high-quality, integrated, and up-to-date data, thereby allowing analysts to do their jobs without having to visit a myriad of sources and perform their own integration. Another important concept was that of "one answer", i.e. a warehouse codified business processes such that each analysis can be done consistently and with reproducible results.
Agencies:
List of Publications, Papers, Presentations:
Datasets Served: AQS, NEI, AIRNow, MODIS, GASP, meterological, census, REMSAD model runs, GIS layers
Parameters: All criteria pollutants, standard meterological measurements, complete demographics
Spatial-Temporal Coverage: Temporal varies with dataset, but 10 years of AQS, latest NEI inventory, etc. Spatial coverage is entire US at county level
Health: Exposure for sensitive populations; analysis
Forecasting and Reanalysis:
Model/Emission Evaluation:
Characterization, Trends, Accountability:
Other:
Primary/Official Store for Some data: None
Data Consolidation/integration:
Providing Data Access to users/externals:
Data Processing:
Visualization/Analysis:
Decision Support (e.g. some integration into user business process):
End-to-End Integration:
Data Flow Interoperability:
Reusable Tools and Methods:
Security Barriers and Solutions:
User Feedback Approach:
