Air Monitoring Data Management Course

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Course Description:
This course will provide air quality managers and technical personnel with an understanding of the skills needed to successfully plan for, manage, report, and present air quality data. The course will focus on project planning, project operations, measurement data management, and using Microsoft Excel for air monitoring data management. Participants will be expected to bring electronic copies of a sample of their own air monitoring data. If data cannot be provided, an example of a typical file produced by the equipment should be brought to the course (please contact ITEP if this will be a problem).

Topics include:
  • Legally-defensible data

  • Data transfer and reconstruction of lost information

  • Data review and validation

  • Data summary and presentation

  • Gathering, recording, and managing quality control data

  • Calculation of precision and bias statistics

  • Reporting

  • Preparing for audits

  • Using Microsoft Excel for basic data review


This course takes a "learn by doing" approach. Lectures will be interspersed with activities in which participants practice the skills introduced during the lectures. Hands-on activities will follow the data management process from collecting data from an analyzer or datalogger through the validation and reporting process.

Pre-Requisites:
Participants must be conducting ambient air monitoring or have equipment in-house and plan to start monitoring within 6 months. In addition, the following ITEP courses (or equivalent training/ experience) are required:
  • Introduction to Tribal Air Quality
  • Air Quality Computations
  • Air Pollution Technology


Contact:
Lydia Scheer, 928/523-6887, Lydia.Scheer@nau.edu

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Last updated: September 9, 2010

 

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