Corporate Training By Zack Academy - Principles of Quality Assurance and Quality Control in Environmental Field Programs

Why Should You Take This Principles of Quality Assurance and Quality Control in Environmental Field Programs course?

Learn the role of quality assurance and quality control in developing environmental programs for site investigations, remediation, and monitoring at contaminated sites in this 2-day Principles of Quality Assurance and Quality Control in Environmental Field Programs course. Participants will become comfortable with concepts, tools, and the basic statistical methods needed for designing and implementing a field program, and will gain knowledge regarding how to work with a laboratory to ensure the right chemical analyses are performed on the right samples. Emphasis will be put on how to plan for and then evaluate data produced to achieve the greatest usability. 

Upon completion of the course, attendees will come away with tools for deciding how to assess environmental laboratory data, how to maximize data defensibility, and when an independent data validator is needed. Extensive hands-on exercises include working through a Quality Assurance Project Plan and setting up Excel worksheets to perform efficient assessments for standard analytical data.

Prerequisites:

Basic college chemistry and modest familiarity with environmental site work will be helpful but not necessary in getting the most out of this course.

Intended Audience:

This course is intended for environmental professionals who need a good grounding in the concepts and framework of quality assurance for environmental data.

Topics To Be Covered Include: Please see syllabus for full list of course topics. 

What to Bring to Class:  Pen or pencil, and paper if you do not want to take notes in your manual. Drinks and snacks will be provided each day. Lunch will be on your own.

Syllabus

Syllabus:

a. Quality Assurance Overview
b. Quality Management Planning and Implementation
    i. Setting Data Quality Objectives
    ii. Regulatory Compliance
    iii. Identifying Responsible Personnel
c. Systematic Project Planning:
    i. Quality Management Plan (QMP)
    ii. Quality Assurance Project Plan (QAPP)
    iii. Field Sampling Plan (FSP); Work Plan (WP); Sampling and Analysis Plan (SAP)
    iv. Coordination of laboratory and field sampling activities
d. Issues in Field Sampling
    i. Preparation
    ii. Implementation/Communication
    iii. Corrective Action
iv. Post-Sampling Review
e. Data Quality Indicators
    i. Precision
    ii. Accuracy
    iii. Representativeness
    iv. Reproducibility
    v. Completeness
f. Data Quality Assessment I: Statistical Methods
g. Data Quality Assessment II: Data Verification and Data Validation
h. Data Quality for Decision-making and Defensibility