The Dirty Dozen 12 Ways Your Environmental Data Might be Flawed . WVONGA Annual Fall Meeting Wheeling, West Virginia September 11, 2013 Gerald L. Kirkpatrick, P.G. Bryce E. Stearns. Six Bad Field Team Habits. Poorly Designed Sampling Programs
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12 Ways Your Environmental Data Might be Flawed
WVONGA Annual Fall Meeting
Wheeling, West Virginia
September 11, 2013
Gerald L. Kirkpatrick, P.G.
Bryce E. Stearns
1. Poorly Designed Sampling Programs
Thoughtful analysis up-front saves problems out-back
2. Inconsistent Sample Collection Procedures
Prepare Standard Operating Procedures and train field people
3. Improper Sampling Equipment
Prepare Sampling and Analysis Plans Follow-up With Field Audits
4. Untrained and Inexperienced Field Personnel
Training and field audits are critical to the health of your sample data
5. Absence of Documentation
Prepare a Quality Assurance Project Plan and use it
6. Inadequate QA/QC Sampilng
Submit some sort of QA/QC samples with your field samples
You do not want your data generated “blind.”
Traceability is a key component to Quality Control
Failure to follow the approved method or internal SOP
Failure to adequately calibrate monitoring and measuring devices used in the analytical processimpacts data quality.
Balances, thermometers, pipettes
Crucial to ensure measurement accuracy
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