
Environmental Field Sampling and Monitoring Program Design Course
Master the full lifecycle of environmental field sampling — from regulatory drivers and data quality objectives to field execution, QA/QC, and defensible reporting. This course equips environmental scientists, engineers, and compliance professionals with the technical depth and documentation skills regulators expect. Every module is built around real-world program scenarios that translate directly to field and office practice.
What you will learn:
You will learn how to design statistically sound sampling programs using systematic planning and data quality objectives, then execute those programs correctly across all major environmental matrices. The course covers sampling plan documentation, field instrument calibration, chain-of-custody procedures, and quality assurance protocols that protect data defensibility. You will also work through data validation, statistical analysis of monitoring results, and regulatory report preparation. Supplementary modules address GIS-based sampling design, continuous monitoring systems, PFAS and emerging contaminant protocols, and project management for field programs. By the end, you will have the skills to lead environmental sampling programs that hold up to regulatory and legal scrutiny.
How you study in practice Environmental Field Sampling and Monitoring Program Design Course
How you practice Environmental Field Sampling and Monitoring Program Design Course
For companies that want to train their team
With Dedika for Business, the course includes exercises and examples tailored to your own business and the way your company needs.
Course content
8 Chapters • 38 LessonsDuration between 4 and 360 hours (you decide)
Chapter 1HideHide detailsSee detailsFoundations of Environmental Sampling
Foundations of Environmental Sampling
Lesson 1 • Environmental Media and Matrices
Covers the physical matrices sampled in field programs: air, water, soil, sediment, and biota. Links matrix choice to program objectives.
Lesson 2 • Environmental Sampling Principles
Introduces core sampling concepts: representativeness, bias, and error. Establishes vocabulary used throughout the course.
Lesson 3 • Regulatory and Program Drivers
Explains how environmental regulations, permits, and liability frameworks drive sampling program design. Connects compliance needs to technical decisions.
Lesson 4 • Data Quality and Intended Use
Introduces data quality objectives and how intended data use shapes every sampling decision. Anchors later chapters in purpose-driven design.
Chapter 2HideHide detailsSee detailsData Quality Objectives and Program Planning
Data Quality Objectives and Program Planning
Lesson 1 • Sample Size and Power Calculations
Introduces statistical methods for determining minimum sample numbers to meet DQOs. Connects power analysis to cost and schedule constraints.
Lesson 2 • Conceptual Site Model Development
Guides construction of a conceptual site model integrating sources, pathways, and receptors. The CSM drives spatial and temporal sampling decisions.
Lesson 3 • Sampling Design Selection
Compares probabilistic, judgmental, and systematic sampling designs against DQO requirements. Students select and justify a design for a given scenario.
Lesson 4 • Systematic Planning Process Overview
Walks through the seven-step systematic planning framework from problem statement to decision rule. Provides the structural backbone for all subsequent planning activities.
Lesson 5 • Defining Decision Rules and Limits
Teaches how to set action levels, tolerable error rates, and decision thresholds. Links statistical tolerance to field and laboratory performance requirements.
Chapter 3HideHide detailsSee detailsSampling Plan Documentation
Sampling Plan Documentation
Lesson 1 • Field Sampling Procedures Writing
Teaches how to write step-by-step field procedures that are unambiguous and reproducible. Covers equipment, decontamination, and sample handling instructions.
Lesson 2 • Health and Safety Plan Integration
Explains how site-specific health and safety plans are integrated into sampling documentation. Covers hazard identification, PPE selection, and emergency response.
Lesson 3 • Sampling and Analysis Plan Structure
Describes the required components of a sampling and analysis plan and their logical order. Establishes the document as the primary field governance tool.
Lesson 4 • Quality Assurance Project Plan Elements
Covers the QAPP as the quality governance document linked to the SAP. Explains roles, responsibilities, and performance criteria documentation.
Lesson 5 • Logistical and Resource Planning
Addresses equipment procurement, personnel scheduling, and subcontractor coordination within the plan. Ensures field mobilization is fully supported by documentation.
Chapter 4HideHide detailsSee detailsField Sampling Techniques by Media
Field Sampling Techniques by Media
Lesson 1 • Groundwater Sampling Procedures
Teaches well purging methods, low-flow sampling, and passive sampling for groundwater. Emphasizes stabilization parameters and minimal disturbance principles.
Lesson 2 • Surface Water Sampling Methods
Covers grab, composite, and depth-integrated sampling techniques for rivers, lakes, and effluent streams. Addresses flow conditions and sample representativeness.
Lesson 3 • Air and Vapor Sampling Methods
Introduces active and passive air sampling, soil vapor probes, and sub-slab sampling. Connects method selection to target analytes and detection limits.
Lesson 4 • Soil and Sediment Sampling
Covers hand auger, split-spoon, and core sampling for soil and sediment matrices. Addresses depth interval selection and sample homogenization.
Lesson 5 • Biological and Tissue Sampling
Covers collection of aquatic macroinvertebrates, fish tissue, and vegetation for bioaccumulation studies. Addresses preservation and chain-of-custody for biological samples.
Chapter 5HideHide detailsSee detailsSample Handling, Preservation, and Chain of Custody
Sample Handling, Preservation, and Chain of Custody
Lesson 1 • Preservation Techniques and Hold Times
Covers chemical preservatives, temperature requirements, and maximum hold times by analyte group. Links preservation failure to data usability consequences.
Lesson 2 • Chain-of-Custody Procedures
Explains the legal and technical requirements of chain-of-custody documentation from field to lab. Covers custody seals, transfer signatures, and discrepancy resolution.
Lesson 3 • Container Selection and Preparation
Explains how analyte chemistry drives container material, volume, and pre-cleaning requirements. Prevents contamination introduced by improper container choice.
Lesson 4 • Sample Labeling and Field Documentation
Teaches standardized labeling, field log entries, and photographic documentation practices. Ensures every sample is traceable from collection to analysis.
Lesson 5 • Shipping and Laboratory Receipt
Covers cooler packing, shipping regulations for hazardous samples, and laboratory receipt verification. Closes the custody loop between field and analytical laboratory.
Chapter 6HideHide detailsSee detailsField Measurements and Instrument Calibration
Field Measurements and Instrument Calibration
Lesson 1 • Photoionization and Combustible Gas Detectors
Teaches PID and CGI calibration, correction factors, and field screening applications. Links screening results to sampling decisions and health and safety.
Lesson 2 • Calibration Documentation and QC
Establishes documentation requirements for instrument calibration records and QC checks. Ensures instrument performance is traceable and defensible.
Lesson 3 • Water Quality Multiparameter Instruments
Covers calibration and operation of multiparameter sondes for pH, DO, conductivity, and turbidity. Establishes stabilization criteria for groundwater and surface water.
Lesson 4 • Turbidity, Flow, and Level Measurement
Covers turbidimeters, flow meters, and pressure transducers used in surface water and stormwater monitoring. Addresses rating curves and stage-discharge relationships.
Chapter 7HideHide detailsSee detailsQuality Assurance and Quality Control in the Field
Quality Assurance and Quality Control in the Field
Lesson 1 • Field QC Sample Types and Purposes
Defines equipment blanks, field blanks, trip blanks, duplicates, and matrix spikes. Explains what each QC sample type detects and when it is required.
Lesson 2 • Field Audits and Performance Evaluations
Covers technical systems audits, performance evaluations, and readiness reviews for field programs. Prepares students to conduct and respond to field audits.
Lesson 3 • Nonconformance and Corrective Action
Establishes procedures for identifying, documenting, and resolving field nonconformances. Ensures problems are captured and corrected before data are reported.
Lesson 4 • Field QC Data Evaluation
Teaches how to calculate RPD, evaluate blank contamination, and flag data based on QC results. Connects field QC performance to data usability decisions.
Lesson 5 • Decontamination Procedures and Verification
Covers equipment decontamination sequences for low and high contamination scenarios. Addresses rinsate collection, disposal, and decontamination verification.
Chapter 8HideHide detailsSee detailsData Management, Reporting, and Program Evaluation
Data Management, Reporting, and Program Evaluation
Lesson 1 • Statistical Analysis of Monitoring Data
Introduces descriptive statistics, trend analysis, and nondetect data handling for environmental datasets. Connects statistical outputs to regulatory decision thresholds.
Lesson 2 • Program Performance Review and Optimization
Evaluates whether the monitoring program is meeting its DQOs and identifies opportunities for optimization. Closes the adaptive management loop for long-term programs.
Lesson 3 • Monitoring Report Preparation
Guides preparation of a complete monitoring report including methods, results, and conclusions. Addresses audience-specific communication and regulatory submission requirements.
Lesson 4 • Data Validation and Usability Assessment
Teaches systematic data validation against method, QC, and holding time criteria. Produces a data usability summary that supports decision-making.
Lesson 5 • Environmental Data Management Systems
Covers electronic data deliverable formats, database entry, and data validation workflows. Establishes data management as the bridge between field collection and reporting.
Your valid completion certificate
This course is for you:
Entry-level environmental scientists: ready to move beyond task execution into program ownership.
Regulatory compliance officers: needing stronger technical grounding behind permit-driven monitoring decisions.
Civil or geotechnical engineers: expanding into contaminated site investigation and remediation support.
Recent environmental science graduates: bridging the gap between coursework and real field practice.
Career changers from biology or chemistry: transitioning into environmental consulting or agency work.
Field technicians seeking advancement: building credentials to move into project management roles.
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