Skip to Main Content

Sampling and Analysis Training

sw_sample-bucket-small
sw_sample-group-small
sw_sample-station2-small
sw_sample-closeup-small

Introducing DSWM’s Sampling & Analysis Training  (SAT)

TDEC's Division of Solid Waste Management (DSWM) has initiated new training programs aimed at elevating our commitment to quality and technical consistency both internally and with the regulated community.

DSWM offers two introductory courses for the Sampling & Analysis Training program:

Environmental Media Sampling & Analysis Training is an "environmental sampling 101" course introducing participants to:

  • Quality Assurance and Quality Control
  • Sampling Planning and Equipment
  • Interpreting Laboratory Reports
  • TCLP Testing and Hazardous Waste Characterization                                                       
  • Recognizing “Bad” Data

Course participants will be able to:

  • Plan a rudimentary sampling event
  • Evaluate environmental data quality
  • Scrutinize data at all points of generation from planning to laboratory reporting

Both are day-long courses designed to provide an industry-standard introduction to the fundamentals of sampling planning, analytical testing, quality assurance and data interpretation in the areas of environmental media and soil characterization for construction purposes.  Course content is specifically related to DSWM rules and guidance expectations.

SCHEDULED SAT TRAINING FOR THE REGULATED COMMUNITY

The Soil Sampling and Testing Training course will be held at the following dates and locations in 2019:

Lunch, snacks and beverages provided.

Continuing Education Credits Available

Course Fees:
Pre-registration through September 30, 2019 - $250
October 1, 2019 and after - $295

Columbia Environmental Field Office
1421 Hampshire Pike
Columbia, TN 38401 
October 23, 2019, 9:00am – 4:00pm

Knoxville Environmental Field Office
3711 Middlebrook Pike
Knoxville, TN 37921
November 5, 2019, 9:00am – 4:00pm

Contacts

Patrick Mulligan

865-594-5582
patrick.mulligan@tn.gov