Water Quality Data Management and Modeling (WQDM)
This 3-day course is designed to give water professionals hands-on experience applying AquaChem to projects requiring geochemical data interpretation and management of water data.
The study of water chemistry data involves a large number of numerical and graphical techniques, which are not readily available with standard Microsoft Office software such as Excel. AquaChem offers an extensive but easy-to-use numerical and graphical toolset for efficient analysis of most water chemistry data sets. In this course you will be given detailed background information on how to apply these methods in order to track down the formation history of the studied water samples. You will also learn how to document and present your findings efficiently.
For complex geochemical modeling problems, AquaChem offers a seamless interface to the USGS code PHREEQC, the 'de facto' standard in this field. you will learn how to apply this software to simple problems in order to quantify your hypothesis. Additionally, you will receive an overview of more complex modeling capabilities of PHREEQC. Attendees are encourages to bring their own datasets, which they will be able to convert into the AquaChem database and interpret during the course.
Course Software: AquaChem (used as a standard for the UK Environment Agency and US Office of Surface Mining), and PHREEQC.
Course Objectives and Benefits
From hands-on experience you will learn:
- How to effectively apply AquaChem to water quality analysis projects
- How to create your own hydrochemistry database
- Basic understanding of rock/water interactions
- How to quickly generate data plots and prepare professional reports from water quality data analysis
- What to look for when evaluating data quality
- how to solve geochemical modeling problems using PHREEQC
You will also receive:
- Hands-on guidance with AquaChem by expert instructors
- A complete set of course lecture notes and lab exercises
- A CD of laboratory exercise files and a demo copy of AquaChem
- Fundamentals of managing water quality data
- Concepts and benefits of relational database applied to water chemistry data
- Assessing the quality of lab data, identify trends, and performing statistical calculations
- Detection and interpretation of exceedence values
- Understand and dealing with detection limits
- Interpretation techniques (Rock Source Detection)
- Identifying water types and aquifer composition
- Calculation of saturation indicies or pH
- Plotting spatial patterns of water quality data
- Introduction to the USGS modeling code PHREEQC
- Learning to use AquaChem and PHREEQC