1. 1 of 10 Introduction to Visual Sample Plan & Applications DQO Training Course Day 3 Module 21 Presenter: Sebastian Tindall (60 minutes)

2. 2 of 10 Key Points n VSP is a user-friendly, graphical software tool for evaluating trade-offs between decision errors, sampling costs, and remediation costs n Alternative sampling designs can be reviewed and evaluated in real-time

3. 3 of 10 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. 4 of 10 Quick Overview n Open a site map n Select a sample area n Select a sampling design n Specify error rates, action level, standard deviation, etc. n Note results on map, graph, and costs n Iterate with various designs until optimal n Take samples at x, y coordinates provided

5. 5 of 10 Detailed Examples n Simple random sampling of one acre field n Systematic grid with random start sampling of one acre field n Hot spot sampling of one acre field n Optional: “stratified” simple random sampling n Optional: MARSSIM Room

6. 6 of 10 VSP Demo Now we will see a demonstration of Visual Sample Plan, version 2.0

7. 7 of 10 Conclusions n VSP helps us understand the consequences of our assumptions n VSP makes us more efficient in evaluating and utilizing environmental sampling designs n GIGO; VSP depends on you for input n VSP is helpless without domain-specific knowledge and professional judgement

8. 8 of 10 http://dqo.pnl.gov/vsp/ http://www.hanford.gov/dqo/ VSP Web Links

9. 9 of 10 Brent Pulsipher, Manager Statistical & Quantitative Sciences Pacific Northwest National Laboratory Richland, WA 99352 (509) 375-3989 brent.pulsipher@pnl.gov John Wilson, Programmer Statistical & Quantitative Sciences Pacific Northwest National Laboratory Grand Junction, CO 81503 (970) 270-2998 john.wilson@pnl.gov VSP Development Contacts

10. 10 of 10 End of Module 21 Thank you Questions?