1. WRAP Technical Support System for Air Quality Planning, Tracking, & Decision Support Tom Moore, Western Regional Air Partnership, Western Governor’s Association Shawn McClure, CIRA, Colorado State University December 6, 2007

2. Acknowledgments The TSS is based upon WRAP work done between 1997 and 2007 –Experience with §309 Haze SIPs submitted 12/03 –Need to distill key information for haze planning across wide variety of air programs in the West Thanks to: –WRAP Forums and Workgroups - Too many individuals to list all Attribution of Haze: Steve Arnold (CO) & Bob Kotchenruther (EPA-R10) Modeling: John Vimont (NPS), Mary Uhl (NM), Kevin Briggs (CO) Monitoring & Data Analysis: Marc Pitchford (NOAA) Hundreds involved: feds, tribes, states, industry, enviros –TSS Development Team: Shawn McClure (CIRA), Joe Adlhoch (Air Resource Specialists), Gerry Mansell (ENVIRON) & others –EPA funding –In-kind staff work from many agencies & organizations; thousands of hours Purpose of talk is to describe progress to date and plans for the future

3. What is the TSS? (http://vista.cira.colostate.edu/tss)http://vista.cira.colostate.edu/tss A decision support system for facilitating the completion of regional haze implementation plans to improve visibility in Class I areas A primary online source for visualization, analysis, and retrieval of regional technical data and analytical results An integrated, interactive database: air quality monitoring data meteorological and receptor modeling data analyses emissions inventories and models gridded air quality/visibility regional modeling simulations VIEWS / TSS Introduction

4. VIEWS / TSS Overview

5. End-to-end Air Quality Data and Decision Support VIEWS / TSS Vision Acquisition Import Unification Management Manipulation Retrieval Visualization Analysis Exploration Search Source Apportionment Modeling Assessment Interpretation Planning Controls Regulation Tracking

6. Integrated System Solution Chart

7. Provide comprehensive comparison and analysis of monitored, modeled, and emissions data with an integrated suite of tools Enhance and expand decision support applications Enable providers to upload manage their own data & metadata Promote an open, extensible, service-oriented architecture Provide services, components, and tools to air quality developers Incorporate satellite and meteorological data Investigate climate change and epidemiological applications and perspectives Facilitate collaboration and development between organizations Goals and Development Plans VIEWS / TSS Future Vision

8. VIEWS / TSS Data Import

9. VIEWS / TSS Database Architecture OLTP: Functions as the “back-end” database Fully relational and in 3 rd normal form Used for data import, validation, and management Technologies: Microsoft SQL Server Data Warehouse Generation System: Extracts data from the OLTP De-normalizes and transforms data Loads data into the Data Warehouse Builds table indexes Archives “snapshots” of the database Technologies: VB, stored procedures Data Warehouse: Functions as the “front-end” database Uses a de-normalized “star schema” Used for querying and archiving data Automatically generated from the OLTP Technologies: Microsoft SQL Server 9

10. Modified: 11/10/2007 VIEWS / TSS Page Architecture