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Technical & Software

EPA's New Unified Guidance: Statistical Analysis of Groundwater Monitoring Data

This two and a half day course discusses the core elements of the EPA's first major revision to its groundwater statistical guidance in almost 20 years. Presented by the primary author of the revision, this course will showcase new features of the guidance, as well as recommended changes to current statistical practice. In addition to reviewing the design and evaluation of statistical programs for groundwater monitoring, participants will also learn the benefits of checking their assumptions in order to run the most effective statistical tests.

California Department of Public Health, CDPH, Approved for contact hours

Please wait to receive a course confirmation email, roughly one month prior to the class, before making any non-refundable travel arrangements.

Reduced tuition is available to employees of Native American tribes, government agencies, nonprofits, students and NAEP, NEBC, NWAEP members. You may register online or by calling the Northwest Environmental Training Center at 425-270-3274.

Intended audience

This course is intended for RCRA regulators, site operators and/or consultants responsible for compliance with regulations for groundwater monitoring. It may also be useful to parties responsible for statistical treatment of environmental data in other regulatory programs.

Prerequisites

A background in statistics, RCRA, and previous EPA guidance are helpful, though not required.
 

CEUs
1.60
Course Topics

Key Assumptions in Groundwater Testing

  • Normality, stationarity, data independence


RCRA Groundwater Statistical Framework

  • Monitoring stages
  • Balancing statistical errors
  • Statistically significant increases (SSI)
  • Power Curves


Importance of Background

  • Establishing and implementing background


Strategies for Compliance Monitoring

  • Testing under unstable conditions
  • Comparisons to background data
 

Statistical Design in Detection Monitoring

  • Multiple comparisons, site-wide false positive rates
  • Parametric vs. Non-parametric tests
  • Interwell vs. Intrawell tests
  • Incorporating Retesting


What to do with Difficult Data

  • Outliers, non-detects
  • Spatial variation, temporal correlation


Recommended statistical methods

  • Prediction limits, control charts
  • Trend tests
  • Confidence intervals
Course Materials

Attendees will receive a book containing workshop proceedings and reference material.

What to bring

Please bring a pen or pencil, and notepad if you would like to take notes (you may also choose to take notes in your book). Lunch will be on your own, but drinks and snacks will be provided throughout the day.

Course Subject

ArcGIS PRO: An Introduction to Environmental Applications

This 3-day hands-on class introduces participants to the environmental applications of ESRI's ArcGIS 10 software. The course will build upon a discussion of general concepts and vocabulary to form a comprehensive overview of ArcGIS PRO’s functions and uses in the environmental field. Each participant will have their own computer workstation to create, edit, display and analyze real world environmental data during numerous hands-on exercises. On the third day, participants will have an opportunity to expand their skills by applying their knowledge to more complex and in-depth projects.

 

"Great overview of tools and tasks...Exercises were great at walking through and showing how each tool can be applied to real world situations."-Adam J, March 2014

"This course took me through a ton of useful information in just a short period of time, and the price was right!" Adam C, March 2014

"It is very applicable to my job duties, I will immediately be able to use these tools." -E. Moore, March 2013
 

"…very relevant to natural resource work. " -S. Miller, March 2013


After completing this course, participants will be able to:

  • Apply a conceptual overview of GIS and spatial analysis to environmental data
  • Understand and utilize the fundamental capabilities of ArcGIS
  • Conduct overlay analysis
  • Create intersects, buffers, unions and clips using the Geoprocessing Wizard
  • Measure spatial relationships between layers of geographic data
  • Perform complex relational database queries
  • Generate presentation-quality maps

Prerequisites: Basic understanding of computer operations.

*reduced tuition is available to employees of Native American tribes, government agencies, and nonprofits; students; and NAEP, NEBC, NWAEP members 

Please wait to receive a course confirmation email, roughly one month prior to the class, before making any travel arrangements.

Intended audience

This hands-on course is intended for environmental and graphics professionals involved in the collection, interpretation, and presentation of spatially related data. Attendees will learn the uses and capabilities of ArcGIS 10 by working first-hand on sample scenarios. Previous GIS experience is not required.

CEUs
2.00
Course Topics
Overview of ArcCatalog and ArcMap
Connecting to Data
Adding Layers
Working with Geographic Features
Feature Attributes within a Data Frame
Querying and Selecting Geographic Features
Editing Features
Working With CAD Drawings
Creating Summary Charts
Manipulating Tables
Creating Tables
Mapping Buffers
Symbolization
Adding Database Features
Layouts and Printing Maps
Basic On-Screen Digitizing/Georeferencing
Intro to Spatial Analyst Extension
Intro to 3D Analyst Extension

 

Course Materials

Attendees will receive a course manual containing workshop proceedings and reference material.

What to bring

Pen or pencil and paper to take notes. Drinks and light snacks will be provided. You will be on our own for lunch.  

Course Subject

Principles of Quality Assurance and Quality Control in Environmental Field Programs

 

**If this course has Remote Live Attendance -- USA as the location, it is a live stream remote course. You will need a computer and an internet connection. 

In this course, attendees will learn the role of quality assurance and quality control in developing environmental programs for site investigations, remediation, and monitoring at contaminated sites. 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. There will be empahsis 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. The 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.

 

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.

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.

CEUs
1.30
Course Topics

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

 

Course Materials

Attendees will receive a course manual containing workshop proceedings and reference material.

What to bring

A personal laptop with Excel and a pen or pencil and paper if you prefer not to write in your course manual. 

Course Subject