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METHODS BOARD An Update from the Aquatic Sensor Workgroup Dan Sullivan, USGS co-chair, Methods and Data Comparability Board National Water Quality Monitoring.

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Presentation on theme: "METHODS BOARD An Update from the Aquatic Sensor Workgroup Dan Sullivan, USGS co-chair, Methods and Data Comparability Board National Water Quality Monitoring."— Presentation transcript:

1 METHODS BOARD An Update from the Aquatic Sensor Workgroup Dan Sullivan, USGS co-chair, Methods and Data Comparability Board National Water Quality Monitoring Council

2 Outline  The Aquatic Sensor Workgroup (ASW)  Tools developed by the ASW: laying the groundwork for sensors QA  NEMI-ACT web portal  Data Management  Specifications  Input on USGS/CUASHI Workshop

3 Aquatic Sensor Workgroup (ASW)  The ASW is a subcommittee of the Methods and Data Comparability Board, a workgroup of the National Council  Objective: to convene a workgroup of experts to consider efforts to address challenges:  SOPs have not kept pace with technology  No central repository for information about SOPs, sensor performance, etc.

4 ASW Objectives  Develop SOPs for the calibration, QA/QC, maintenance, and deployment of field-based aquatic sensors  Make recommendations for the creation of a database to store relevant information on sensors to allow potential users to make informed decisions on the use of sensors for their projects  Recommend types of sensors for the National Monitoring Network

5 ASW Membership  Industry  States  Gov’t.

6 Sensors QA Initiative FY08-10  Website  Deployment Guide  QA (ACRR) Matrix  Data Elements  Glossary

7 http://watersensors.org

8 QA and Deployment Guide Overview  Guides are designed as checklists  Important to know site details/specific sensor requirements  Maintenance intervals – data quality  Document everything

9 Field Deployment Guide & QA Matrix

10 1. System Selection

11 What’s in the Matrix?  The basic sensors that are in wide use for monitoring (NPS “Vital Signs”):  Temp.  SC  D.O.  pH  Turbidity  Depth  ORP (Oxidation Reduction Potential)

12 QA (ACRR) Matrix  List of actions you can do to:  Affect (act to influence the outcome)  Check (test to evaluate or verify)  Record (documentation)  Report (communicate the data quality indicator)  Used in conjunction with users manual, result will be data of known and documented quality

13 QA Matrix

14 QA Matrix – SC example

15 The Future of Sensors?  “Water Quality – Anytime, Anywhere” (B. Hirsch)  Capabilities, reliability, and deployment of sensors will continue to increase  Several networks in planning stages  Mississippi River Basin sediment pilot  Great Lakes  Areas of need:  data & databases  Specifications  Data analysis

16 ASW Initiatives FY11-  NEMI-ACT web portal  Data Management  Specifications  Data Quality Objectives

17 NEMI-ACT web portal  Access traditional analytical and sampling methods from NEMI along with sensors information from ACT  Over 4,000 sensors in ACT database  Side-by-side comparisons  Format for standardizing performance criteria for sensors  w/in single manufacturers, reported performance for a given analyte can be different for different models

18 NEMI-ACT status  Web portal is functional  Details and layout still being worked out  ACT redesign  NEMI redesign

19 NEMI-ACT: what’s next  Screen capture

20 Data Management  The QW monitoring community needs better data management procedures to deal with the large amount of data generated by remotely-deployed sensors.  Sensors provide unique challenges in almost every phase of data management, from what data should be collected and stored (the content of the data) to data transfer.

21 Data Management  SOP for basic data verification, validation, and error calculation to connect the outcome of quality checks with the data, plus a standardized set of data qualifiers  List of data elements/data fields that need to be recorded (*DRAFT long list is complete)  Recommendations for a streamlined process of sensors’ data correction, i.e., alteration to correct for drift and fouling, using consistent procedures/algorithms and consistent categories for the extent of corrections

22 Data Management  Recent presentations to the Board ASW include:  Functions of data processing and analyzing software, Ed Quilty, Aquatic Informatics  Overview of DIF and DMAC, Charly Alexander, NOAA

23 Specifications  Technology performance standards and test criteria designed specifically for field sensors and natural environmental conditions are required to allow inter-comparison of sensor specifications and the data generated by field sensors  Need for EPA-accepted criteria for sensors for ambient monitoring

24  ASTM D-19 workgroup – standard reference samples  ASW will provide input and comments  First meeting Jan. 19  Met with EPA’s Forum on Environmental Measurements in September

25 Data Quality Objectives  State-led  Guidelines for questions to ask:  What do you want?  What do you need?  What can you afford?  Goal: SOP or guidance document on how to write a DQO tailored to the collection and use of sensors data. Should be helpful for designing and implementing and estimating costs for a continuous monitoring program.

26 Acknowledgements  Revital Katznelson, PhD, contract lead  Gayle Rominger, Rob Ellison, Mike Cook, Danielle Dumont,YSI, Inc  Chuck Dvorsky, Texas CEQ  Chuck Spooner, US EPA  Mike Sadar, Hach Co  Cristina Windsor, In-Situ  Janice Fulford, USGS  And a review board consisting of experts from NPS, ACT, US EPA, USGS, ORNL, and VT  Special thanks to Andy Ziegler, USGS-KS for some of the slides in this presentation

27 Questions and Comments Dan Sullivan (608) 821-3869 djsulliv@usgs.gov watersensors.org


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