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METHODS BOARD An Update from the Aquatic Sensor Workgroup METHODS BOARD An Update from the Aquatic Sensor Workgroup

METHODS BOARD An Update from the Aquatic Sensor Workgroup - PowerPoint Presentation

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METHODS BOARD An Update from the Aquatic Sensor Workgroup - PPT Presentation

Dan Sullivan USGS cochair Methods and Data Comparability Board National Water Quality Monitoring Council Outline The Aquatic Sensor Workgroup ASW Tools developed by the ASW laying the groundwork for sensors QA ID: 713559

sensors data quality asw data sensors asw quality act matrix sensor workgroup nemi monitoring board aquatic usgs management web

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Slide1

METHODS BOARD

An Update from the Aquatic Sensor Workgroup

Dan Sullivan, USGS co-chair, Methods and Data Comparability Board

National

Water Quality Monitoring CouncilSlide2

Outline

The Aquatic Sensor Workgroup (ASW)Tools developed by the ASW: laying the groundwork for sensors QANEMI-ACT web portalData ManagementSpecifications

Input on USGS/CUASHI WorkshopSlide3

Aquatic Sensor Workgroup (ASW)

The ASW is a subcommittee of the Methods and Data Comparability Board, a workgroup of the National CouncilObjective: 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.Slide4

ASW Objectives

Develop SOPs for the calibration, QA/QC, maintenance, and deployment of field-based aquatic sensorsMake 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 projectsRecommend types of sensors for the National Monitoring NetworkSlide5

ASW Membership

IndustryStatesGov’t.Slide6

Sensors QA Initiative FY08-10

WebsiteDeployment GuideQA (ACRR) Matrix

Data ElementsGlossarySlide7

http://watersensors.orgSlide8

QA and Deployment Guide Overview

Guides are designed as checklistsImportant to know site details/specific sensor requirementsMaintenance intervals – data quality

Document everythingSlide9

Field Deployment Guide & QA MatrixSlide10

1. System SelectionSlide11

What’s in the Matrix?

The basic sensors that are in wide use for monitoring (NPS “Vital Signs”):Temp.SCD.O.

pHTurbidityDepthORP (Oxidation Reduction Potential)Slide12

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 qualitySlide13

QA MatrixSlide14

QA Matrix – SC exampleSlide15

The Future of Sensors?

“Water Quality – Anytime, Anywhere” (B. Hirsch)Capabilities, reliability, and deployment of sensors will continue to increaseSeveral networks in planning stages

Mississippi River Basin sediment pilotGreat LakesAreas of need: data & databasesSpecificationsData analysisSlide16

ASW Initiatives FY11-

NEMI-ACT web portalData ManagementSpecificationsData Quality ObjectivesSlide17

NEMI-ACT web portal

Access traditional analytical and sampling methods from NEMI along with sensors information from ACTOver 4,000 sensors in ACT databaseSide-by-side comparisonsFormat for standardizing performance criteria for sensors

w/in single manufacturers, reported performance for a given analyte can be different for different modelsSlide18

NEMI-ACT status

Web portal is functionalDetails and layout still being worked outACT redesign NEMI redesignSlide19

NEMI-ACT: what’s next

Screen captureSlide20

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.Slide21

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 Slide22

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, NOAASlide23

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 sensorsNeed for EPA-accepted criteria for sensors for ambient monitoringSlide24

ASTM D-19 workgroup – standard reference samples

ASW will provide input and commentsFirst meeting Jan. 19Met with EPA’s Forum on Environmental Measurements in SeptemberSlide25

Data Quality Objectives

State-ledGuidelines 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.Slide26

Acknowledgements

Revital Katznelson, PhD, contract leadGayle Rominger

, Rob Ellison, Mike Cook, Danielle Dumont,YSI, IncChuck Dvorsky, Texas CEQChuck Spooner, US EPAMike Sadar, Hach CoCristina Windsor, In-SituJanice 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 presentationSlide27

Questions and Comments

Dan Sullivan

(608) 821-3869djsulliv@usgs.gov

watersensors.org