Developed by: Host Updated: 1.05.05 U3-m12-s1 Principal Investigators Bruce Munson – UMD Education...

Developed by: Host Updated: 1.05.05 U3-m12-s1

Principal Investigators

Bruce Munson – UMD Education

Rich Axler – NRRI- Limnology

George Host – NRRI – Data issues

Cindy Hagley – MN Sea Grant -Outreach

Carl Richards – MN Sea Grant

Glenn Merrick – Lake Superior College

Staff

Norm Will – NRRI - Programming

Elaine Ruzycki – NRRI- RUSS-QA/QC

Jerry Henneck - Hardware

Jane Reed – NRRI- Web design

Zandy Zwiebel – MN Sea Grant

www.waterontheweb.org

Developed by: Host Updated: 1.05.05 U3-m12-s2

A Brief History

Remote Underwater Sampling Station technology developed at NRRI in mid-1990s

1996 – NSF Advanced Technology Education grant to create “Water on the Web” Online curriculum incorporating real-time data from RUSS units into

college-level lesson plans Focus on lakes in Minnesota

1999 – EPA EMPACT program funds Lake Access Deliver real-time data for Minneapolis lakes

2000 – NSF ATE grant Water Science Technician Training – 2 yr curriculum National scope Teacher training workshops in NY, WI, TX, NC, WA

2001 – EPA EMPACT funds DuluthStreams Real-time river/stream data added to WOW

San Marcos, TXSkagit VCC, WA

Developed by: Host Updated: 1.05.05 U3-m12-s4

RUSS unit – Remote Underwater Sampling Station

Remote monitoring systems for environmental data

“RUSS”

Remote Underwater Sampling Station

Real-time water quality data acquisition

Data transmitted to WOW web site

Developed by: Host Updated: 1.05.05 U3-m12-s5

Solar Panels

Triple Hull(with electronics

and power supply units)

RUSS Design: Platform & Power Supply

Developed by: Host Updated: 1.05.05 U3-m12-s6

Solar Panels

Triple Hull(with electronics

and power supply units)

Profiler(Variable-buoyancy

device)

Multiprobe(sensor package)

RUSS Design: Profiler

Developed by: Host Updated: 1.05.05 U3-m12-s7

Profiler: Leveling device

Variable buoyancy Will achieve target depth

within 0.2 m Typically set to collect

data at 1 m intervals in water column

Developed by: Host Updated: 1.05.05 U3-m12-s8

Profiler: Sensor package

Standard Hydrolab or YSI Sonde attached to Leveler

Measures Temperature pH Dissolved Oxygen Conductivity Turbidity Chl a

Developed by: Host Updated: 1.05.05 U3-m12-s9

RUSS deployment Lake Independence, MN

Developed by: Host Updated: 1.05.05 U3-m12-s10

RUSS Deployment - Ice Lake, MN

Developed by: Host Updated: 1.05.05 U3-m12-s11

On-board Data Processing and Storage

Remote Programming, Data Acquisition and Retrieval (RePDAR) unit CPU Memory Telemetry

Data is stored in ring memory on RePDAR Profiles are stored in a data

buffer Can be downloaded on

demand

Developed by: Host Updated: 1.05.05 U3-m12-s12

Solar Panels

Triple Hull(with electronics

and power supply units)

Wireless Communications (cellular/RF/Satellite/900 MHz)

Profiler(Variable-buoyancy

device)

Multiprobe(sensor package)

RUSS Design: Communications

Developed by: Host Updated: 1.05.05 U3-m12-s13

Data Flow: RUSS unit to the WOW web site

DVT

Archive

EXCEL

HTML

Data Importer

Developed by: Host Updated: 1.05.05 U3-m12-s14

Lots of data for lakes and streams

5-6 variables per depth 10-20 depths per profile 4 profiles per day ~200 days per season

96,000 points per lake 4-6 lakes in WOW 2-6 years worth of data

2,400,000 data points in archives

Developed by: Host Updated: 1.05.05 U3-m12-s15

Lots of data for lakes and streams

5-6 variables per depth 10-20 depths per profile 4 profiles per day ~200 days per season

96,000 points per lake 4-6 lakes in WOW 2-6 years worth of data And then there’s stream

data – 5 minute intervals

2,400,000 data points in archives

Developed by: Host Updated: 1.05.05 U3-m12-s16

Online Data Visualization Tools

Profile plotter (parameters vs depth)

Color mapper (parameters vs depth)

DxT (depth vs time)

Developed by: Host Updated: 1.05.05 U3-m12-s17

WOW Site tour…

Curriculum materials Downloadable annotated Powerpoint files Online water quality data Online resources (primers, supporting materials) IMS map server (deliver watershed, landuse etc)

Two types of curricula Basic Science – HS,CC, 4 yr college Water Science Technician Training –modular 2

semester course In depth – Lake Ecology module

Developed by: Host Updated: 1.05.05 U3-m12-s18

Wrap-up

Successes Extensive and comprehensive site for water science

information 300+ pages Broad user base

~40 cooperating institutions (CC, HS, 4yr) 1300 person mailing list Steadily increasing site use (30K hits/m)

Active ‘comments’ section Scaleable – regional national

Challenges – Sustainability? Data feeds expensive – need agency partners Certification – no defined standards for water science Alternative funding models?

Developed by: Host Updated: 1.05.05 U3-m12-s19

Thank you!

Developed by: Host Updated: 1.05.05 U3-m12-s20

Adapted from Ratti and Garton (1994)

Precision, accuracy and bias

Precision: Tendency to have

values closely clustered around the mean

Accuracy: Tendency of an

estimator to predict the value it was intended to estimate

Bias: A systematic error in

prediction

Developed by: Host Updated: 1.05.05 U3-m12-s21

Unbiased Biased

Not

Pre

cise

Pre

cise

The yellow curlingrocks representmeans from repeated samples

Green dots are the mean value

Spread is analogous to the standard error Accurate Not Accurate

Developed by: Host Updated: 1.05.05 U3-m12-s22

Data Visualization Tools: Profile Plotter

Accesses and plots individual profiles by parameter

Can ‘step through’ or animate time steps

Developed by: Host Updated: 1.05.05 U3-m12-s23

Data Visualization Tools: Profile Plotter

Developed by: Host Updated: 1.05.05 U3-m12-s24

DVT:Color Mapper

Developed by: Host Updated: 1.05.05 U3-m12-s25

2D visualizations: Temperature by Depth and TimeData Visualization Tools: DxT Profiler