Introduction to Visual Sample Plan & Applications

1. DQO Training Course Day 3 Module 21 Introduction to Visual Sample Plan& Applications Presenter: Sebastian Tindall (60 minutes)

2. Key Points • VSP is a user-friendly, graphical software tool for evaluating trade-offs between decision errors, sampling costs, and remediation costs • Alternative sampling designs can be reviewed and evaluated in real-time

3. Purpose of VSP The purpose of VSP is to make environmental sampling design reliable, cost effective, and as simple as possible - but not simpler

4. Quick Overview • Open a site map • Select a sample area • Select a sampling design • Specify error rates, action level, standard deviation, etc. • Note results on map, graph, and costs • Iterate with various designs until optimal • Take samples at x, y coordinates provided

5. Detailed Examples • Simple random sampling of one acre field • Systematic grid with random start sampling of one acre field • Hot spot sampling of one acre field • Optional: “stratified” simple random sampling • Optional: MARSSIM Room

6. VSP Demo Now we will see a demonstration of Visual Sample Plan, version 2.0

7. Conclusions • VSP helps us understand the consequences of our assumptions • VSP makes us more efficient in evaluating and utilizing environmental sampling designs • GIGO; VSP depends on you for input • VSP is helpless without domain-specific knowledge and professional judgement

8. VSP Web Links http://dqo.pnl.gov/vsp/ http://www.hanford.gov/dqo/

9. VSP Development Contacts Brent Pulsipher, ManagerStatistical & Quantitative SciencesPacific Northwest National LaboratoryRichland, WA 99352(509) 375-3989brent.pulsipher@pnl.gov John Wilson, ProgrammerStatistical & Quantitative SciencesPacific Northwest National LaboratoryGrand Junction, CO 81503 (970) 270-2998 john.wilson@pnl.gov

10. End of Module 21 Thank you Questions?