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Outline of an Open, Distributed Air Quality Data Integration and Analysis System

Outline of an Open, Distributed Air Quality Data Integration and Analysis System. Notes prepared for a discussion with EPA NERL and OAQPS December 1, 1998. The Problem:. The researcher can not get access to the data; if he can, he can not read them; if he can read them,

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Outline of an Open, Distributed Air Quality Data Integration and Analysis System

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  1. Outline of anOpen, DistributedAir Quality Data Integration and Analysis System Notes prepared for a discussion with EPA NERL and OAQPS December 1, 1998 CAPITA

  2. The Problem: The researcher can not get access to the data; if he can, he can not read them; if he can read them, he does not know how good they are; and if he finds them good he cannot merge them with other data. Information Technology and the Conduct of Research: The Users view National Academy Press, 1989 CAPITA

  3. The Winds of Change • Shift from primary to secondary pollutants. Ozone and PM2,5 travel 500 + miles across state or international boundaries and their sources are not well established • New Regulatory approach. Compliance evaluation based on ‘weight of evidence’ and tracking the effectiveness of controls • Shift from command & control to participatory management. Inclusion of federal, state, local, industry, international stakeholders. CAPITA

  4. Challenges • Broader user community. The information systems need to be extended to reach all the stakeholders ( federal, state, local, industry, international) • A richer set of data and analysis. Establishing causality, ‘weight of evidence’, emissions tracking requires the analysis of air quality, meteorology emissions and effects data. Opportunities • Rich AQ data availability. Abundant high-grade routine and research monitoring data from EPA and other agencies are now available. • New information technologies. DBMS, data exploration tools and web-based communication now allows cooperation (sharing) and coordination among diverse groups. CAPITA

  5. Recap: Harnessing the Winds • Secondary pollutants along with more open environmental management style are placing increasing demand on data analysis. Meanwhile, rich AQ data sets and the computer and communications technologies offer unique opportunities. • It appears timely to consider the development of a web-based, open, distributed air quality data integration, analysis and dissemination system. • The challenge is learn how to harness the winds of change as sailors have learned to use the winds for going from A to B CAPITA

  6. Standard Data Support System • Data management systems, DBMS • Data processing end exploration tools • Presentation tools CAPITA

  7. Data Flow and Processing CAPITA

  8. Infrastructure support for a distributed system • Data sharing standards.A set of open standards for the sharing of AQ data, tools and reports. Examples: TCP/IP, HTML, XML, FGDC • Data catalog. A virtual centralized catalog with search and retrieval facilities. Examples: GCMD, web-indexes • Web-based shared workspace. Place to share comments, feedback, plans, ... CAPITA

  9. FGDC Compliant Metadata CAPITA

  10. North American Integrated Fine Particle Data Set The fine particle mass data set (1979-1997) consists of ~500 urban and rural monitoring sites in the US and Canada from 16 networks. CAPITA

  11. North American Integrated Fine Particle Data Set CAPITA

  12. North American Integrated Daily Max O3 Data Set The ozone data set (1986-1996) consists of 670 Eastern US and 130 Canadian sites from 7 networks including EPA's AIRS and Canada's NAPS CAPITA

  13. Data Evolution: Comment and Feedback CAPITA

  14. Benefits of a Distributed and Shared System • Access to data. Users can get data, tools, reports out of the system for specific projects. It can be a forum for the exchange of ideas, peer-feedback etc. • Saving time and money. The data, tools and other resources in the system could be leveraging the dollars and time available for specific projects. • Recycling Data. Data are costly resource. The system can help managing, accessing and documenting one's own data, and share it with others for re-use. CAPITA

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