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Title: Remote Underwater Sampling and


1
Remote Underwater Sampling and Aqueduct
Monitoring Technology An Example of Linking
Current Sensor Technology with Innovative
Delivery Systems- An Integral Part of an Early
Warning System-Now Christopher J. Owen,
President and COO www.apprisetech.com
2
2002- THE CHALLENGES AND OUTLOOK IN THE INDUSTRY
  • The Ever Changing View of Protection
  • The Activities of the Past Year Have Resulted
    in a Paradigm Shift in Industry Thought

3
2002-NEW CONCEPTS OF INFRASTRUCTURE, THREAT, AND
IMPACT
  • THREAT
  • No Longer Restricted to Vandalism and Accidents
    But Must Include Malevolent Activity. Must Also
    Now Include Perceived Threats (i.e.The
    Challenges of Validation of the
    Counterfeit-Threat).
  • INFRASTRUCTURE
  • Forcing a Broader Scope of What Is Critical
    Infrastructure.
  • IMPACT
  • Concerns Broadened to Include More Than Obvious
    Human Health Impacts--Now More than Ever it is
    Also About Public Confidence and OM Costs.

4
2002-NEW CONCERNS ABOUT MULTIPLE POINTS OF ENTRY
AND ASSOCIATED PUBLIC UNEASE ABOUT INCLUSIVENESS
OF CURRENT MANAGEMENT, MONITORING, AND MITIGATION
STRATEGIES
  • Risk analysis demands coverage of sub-systems
    with the highest potential of human health impact
    first, culling out municipal distribution systems
    as an obvious priority, but there is much more to
    be done.

5
2002-CONERNS MOUNT ABOUT PROTECTION EFFORTS
THROUGHOUT THE SUPPLY CHAIN
  • Questions to Water Operators Not Monitoring Their
    Systems
  • Are you prepared to empty a five, 10 or 30
    million-gallon finished or source water reservoir
    to prove to the public the water is safe to
    drink?
  • The public has not accepted that the solution to
    pollution is dilution, do we believe this will
    hold water for an event defined by the public,
    or the press, as a chemical and/or biological
    attack on a source water system?
  • Do you have a comprehensive security and
    monitoring program for your source water system?

6
  • Can we really learn from Hollywoods- War Games
  • A threat does not need to be real to be a
    threat, simply perceived as real.
  • Is your data link secure?

7
CHALLANGES of TECHNOLOGIES and DEVELOPERS to MEET
THE NEEDS of the INDUSTRY
  • How do we develop the tools to cover all of the
    possible types of threats and points of entry?
  • How quickly can we make these technologies
    available?
  • Can industry and regulators work together to
    validate new technologies so that end-users can
    utilize these advances with confidence and be
    unencumbered by an ambiguous verification and
    validation process?
  • Can we make these systems low cost and effective
    so that OM resources are not disproportionately
    stressed?

8
2002 - GOALS FOR WATER INFRASTRUCTURE PROTECTION
  • Continue to supply to the community safe water.
  • Protect the infrastructure by implementation of
    networked systems, technology and training to
    meet this objective.
  • Instill public confidence in implemented programs.

9
  • The Risk for Water Infrastructure
  • 1996 Presidents Commission on Critical
    Infrastructure Protection (PCCIP) determines
    water infrastructure as highly vulnerable to a
    range of potential attacks.
  • Effects of threat touch every citizen in the US
    with over 27 billion gallons of water pumped
    every day.
  • The Broad Spectrum of Risks
  • Maybe natural or malevolent.
  • Threats maybe high-tech or low-tech.
  • Executed by organized groups or loose networks.
  • May use exotic or common chemical or biological
    compounds.


10
  • Results of a Successful Attacks
  • Widespread panic.
  • Significant economic impact.
  • Loss of public confidence in the US water supply
    infrastructure.
  • Distribution Monitoring is Key-However Source
    Water Attack Has Broad Reaching Impacts-Question
    to Water Operators Not Monitoring Their Systems
  • Public will Demand Treatment or Disposal
  • Public Trust will be Tarnished
  • For Counterfeit-Threats They Are Most Successful
    if Monitoring programs are Limited or
    Do Not Exist.
  • Are you prepared to empty or treat a five, 10 or
    15
  • million-gallon finished water reservoir to prove
    to
  • the public that it is safe to drink the water?


11
In December of 1999 the following industry report
outlined the need for an Early Warning System and
potential solution criteria... International
Life Science Institute (ILSI) Workshop
Recommendations Published in a Report Titled
EARLY WARNING MONITORING TO DETECT HAZARDOUS
EVENTS IN WATER SUPPLIES October 10,
2001-United States House of Representatives-Commit
tee on Transportation and Infrastructure-Subcommit
tee on Water Resources and the Environment House
Testimony of Jeffrey J. Danneels (Sandia National
Laboratories) Time delays with sampling and
analysis are key drivers for the need for
real-time monitoring capabilities. In 2001 the
FBI issued this warning As long as enemies of
the United States of America exist, terrorism
could strike a US water supply unless steps are
taken to prevent such action.
12
ILSI Industry Report On Early Warning Systems and
Statements of Jeffrey Danneels Sandia National
Laboratories Report to the US House of
Representatives Committee on Transportation and
Infrastructure-Subcommittee on Water Resources
and the Environment EARLY WARNING MONITORING
SYSTEMS Goals and requirements
  • The Tall Order For Early Warning Systems
  • Provide Warning in Sufficient Time for Action
  • Integration of Multiple Sensors in a Modular or
    Expandable Installation
  • Affordable
  • Can Be Mass Produced
  • Requires Low Skill and Training to Operate
  • Covers ALL Potential Threats
  • Gives Minimal False Positive and Negative
    Responses
  • Robust, Reproducible, and Verifiable
  • Allows Remote Operation


13
A Brief History Technology and Water Quality
Monitoring
  • Surface Water Quality Monitoring A coupling of
    technology-evolution to apply current sensor
    technology in innovative ways...
  • 1800-1900s - Chemical testing
  • Early 1900s - First sensors developed for lab
    use
  • 1960s - First submersible pH electrode
  • 1970s - Data storage - Trends vs. Isolated Data
    Points
  • Mid 1980s - Unattended systems using
    dataloggers
  • - Buoy systems with sensor packages
  • Late 1980s - One-way radio telemetry systems
    used
  • - First solar-powered systems
  • 1990s -- Digital technology
  • - Unattended remote data telemetry
  • Late 1990s - Interactive Sensor Delivery Systems
  • Development of Variable Buoyancy Systems (VBS)

14
Sensor Solutions to Threats New Sensor
Technology for Chemical and Biological Agents vs.
Applying Current Sensors and Related Advanced
Sensor Delivery Technology in Innovative Ways
  • New Sensor Designs The need for time, money and
    broad threat sensitivity.
  • New Sensor Development Advantages ? Specific
    and sensitive to specific treats
  • New Sensor Development Disadvantages ? Costly
    to develop, verify and validate for field
    deployment
  • ? Not available currently (takes years to
    decades to bring to market)
  • ? Requires complex design for multiple
    contaminate functionality or
  • ? Requires multiple sensors to cover the
    wide spectrum of possible threats
  • New Sensor Challenges in
  • EARLY WARNING MONITORING SYSTEMS
  • Goals and requirements ? Integration of
    multiple sensors in a modular or expandable
    installation (unknown). ? Affordable
    (development costs are high).
  • ? Can be mass produced (unknown).
  • ? Covers ALL potential threats
    (quantification of a threat is costly multiple
    threats is more costly).
  • ? Robust, reproducible, and verifiable (no
    track record for robustness and
    reproducibility) Turns data into knowledge
    (unknown).
  • ? Network Ability (Unknown)


15
Sensor Solutions to Threats New Sensor
Technology For Chemical and Biological
Agents vs. Applying Current Sensors and Related
Advanced Sensor Delivery Technology In Innovative
Ways
  • Applying Current Sensors and Related Technology
    in Innovative Ways...
  • Advantages ? Inexpensive (currently produced in
    mass quantity).
  • ? Long track record for performance (robust,
    reproducible and verifiable).
  • ? Canary in coal mine approach - measures
    effect making it broad spectrum in sensitivity to
    a variety of threats.
  • ? Long record for ease of use (long running
    familiarity with the form and function of the
    sensors).
  • ? Data turned to knowledge (current sensor
    data has a long record as used as predictors for
    the health of the system that can be
    applied to Early Warning Systems).
  • Disadvantages ? Not specific to individual
    chemical or biological threats (still requires
    select sampling to quantify the
    specific contaminate).
  • Challenges to the Innovative
  • Application of Current Sensor Technology
  • EARLY WARNING MONITORING SYSTEMS
  • Goals and requirements ? Provide warning in
    sufficient time for action.
  • ? Integration of multiple sensors in a
    modular or expandable installation.
  • ? Allows remote operation.


16
  • Example of a Remote Platform for Effective
    Deployment of Current Sensor Technology-Merging
    Technology to Address the Needs of Managers
    Variable Buoyancy Systems (RUSSTM) Current
    Applications
  • Treatment Process Optimization, General
    Management and Monitoring
  • Forecast Modeling
  • Compliance Monitoring
  • Early Warning Monitoring of Harmful Events
  • Currently in Use Across the US, in Korea and
    Israel.

17
Example of How a Remote Platform Works to
Integrate Current Sensor Technology into Early
Warning System Requirements
A Successful System Contains The
Following Flotation Module On-Board
Computer Power System Telemetry Module Result
Remote Operation of Sensor Package
(Bi-Directional Communications), Movement of
Sensor Package to Preprogrammed Depths and
Generation of Extensive Data Sets for Water
Quality Managers for Use in Process Optimization
and Early Warning Systems in Near Real-Time.
Networkability for large geographic coverage.
18
Example of How a Remote Platforms Works to
Integrate Current Sensor Technology into Early
Warning System Requirements
(Aqueduct Monitoring System)
19
Example of How a Remote Platforms Work to
Integrate Current Sensor Technology into Early
Warning System Requirements

(Aqueduct Monitoring System)
  • Key Components
  • Secure Dedicated Phone line
  • Central Control CPU
  • Flow Meter for Pump Fail Notification
  • Expandable Sensor Reservoir
  • Refrigerated Sample Archive
  • Key Design Features
  • High Resolution Data for Predictive Models
  • Sensor Trigger Limits for Archived Sampling
  • On Demand Sample Trigger
  • Redundant Status Notification

20
Current Uses of this Technology Water Utilities
  • First used as a Process Control tool...
  • Turbidity Events - Early warning for chemical
    treatment and plume transport modeling.
  • Algal Bloom Detection - taste odor problems
  • Deep Water Withdrawal Characterization -
    Measuring ReDox to predict problematic
    mineral-rich content in source water (minimize
    mineral build up in process control)
  • Source Water Characterization for multiple source
    blending
  • Effects of Hypolimnetic Oxygenation Systems
    (active management activity for algal control)
  • Vertical Layer Assessment of Reservoir Source
    Water - for intake management measuring
    temperature and density effects
  • Discharge Plume Assessment

21
Using Profiling Buoy and Aqueduct Monitoring
Technology, Joined with Current Sensor Technology
as an Integral Component of Early Warning
Systems...
  • Profiling systems generate sufficient data to
    develop predictive models that can identify
    natural occurrences from unnatural as early
    warning of contamination (technology based
    Canary In the Coal Mine).
  • Profile data is used for toxic transport models
    to estimate time of arrival at critical
    infrastructure.
  • Profiling systems are ideal platforms for
    additional (or new) technology.
  • Remote profiling buoy systems work 24/7 and
    deliver near-real time data about water events.
  • Profiling systems use common commercially
    available sensors and probes that measure primary
    water characteristics.

22
How does this design fit the EARLY WARNING
MONITORING SYSTEM Goals and requirements Remo
te Profiling Buoy Systems, Using Current Sensor
Technology, Meets the Recommended Defined
Criteria for Early Warning Systems
  • Provides warning in sufficient time for action
  • Profiling and aqueduct systems are currently
    being used to establish Near- Real Time
    measurement for transport models (Turbidity and
    Toxic Transport).
  • Covers all potential threats
  • Data establish baseline biological and chemical
    data sets and establish upper and lower control
    limits and related risk response triggers (Canary
    in a Coal Mine).
  • Cost is affordable
  • Use proven technology for profiling buoy
    systems.
  • Use standard Off the Shelf sensors resulting
    in low cost immediate implementation.
  • Requires minimal skill and training
  • Systems that utilizes current staff for OM
    -allowing for better allocation of resources for
    data interpretation.
  • Gives minimal false positive or negative
    responses.
  • Proven sensor technology allows for minimization
    of false positives and false negatives.
  • Is robust
  • Over 50 systems are deployed in an array of
    environments.
  • Is reproducible and verifiable
  • System validated by the US EPA EMPACT Program.
    However needs more data.
  • Allows remote operation and functions year-round
  • Combination of wireless and landline systems for
    Near-Real Time Data.

23
As new sensors for biological and chemical
"signatures" are commercialized, they will
require an operating platform.
Remote data acquisition systems are ideal
platforms for new and emerging sensor
technologies.
Most remote systems use standard communication
protocols. New sensor developments will likely
use a standard protocol and therefore can easily
be integrated into buoy or other remote platforms
with minimal cost for real-time assessment of
the health of the aquatic system.
24
Predictive Models A key element of an Early
Warning System Joining Current-Inexpensive
Sensor Technology with Delivery Platforms to
Generate Data Required for Proactive Models
  • Allow managers and operators valuable time to be
    proactive instead of reactive in terms of
    treatment and awareness.
  • Predictive capabilities- differentiate between
    natural and unnatural occurrences to minimize
    harm.
  • Great expansion capabilities- use remote
    platforms to integrate new technology as they
    become available.

25
Data Visualization Tools
Successful Early Warning Systems Must Present
Water Quality Data in a Variety of Ways for
Timely Response to Change
26
Data Visualization Tools Allow Users to Present
Data in a Visual User-Friendly Format Turning
DATA INTO KNOWLEDGE.
27
EARLY WARNING MONITORING SYSTEMS Conclusion A
need to allocate resources to applying current
sensors and related technology in innovative ways
- best Early Warning Solution for managers and
the communities they serve.
  • Best Way to Approximate the Tall Order
    Addressing industry needs and public protection
  • Provide warning in sufficient time for action
    integration of multiple.
  • Sensors in a modular or expandable installation.
  • Affordable and can be mass produced.
  • Requires minimal skills and training to operate.
  • Covers ALL potential threats. (???????)
  • Gives minimal false positive and negative
    responses. (Limitation Known)
  • Robust, reproducible and verifiable.
  • Allows remote operation and functions year-around
    (Most of the Time)
  • Turns data into knowledge.


28
EARLY WARNING MONITORING SYSTEMS Industry
Moving to Combined Technologies for a Total
Solution-Example of Current SOP-When to
Respond/When to Screen and When to Sample
  • Remote Preset Trigger Alarm-RUSS or SAMM
    System-Response
  • Causal Validation-Eclox-Response
  • Transport of Auto-Archive Sample for Laboratory
    Analysis-Response


29
EARLY WARNING MONITORING SYSTEMS Near Term Needs
  • Development of Base Models That May be Trained
    for Control Limit Predictors
  • The Models need to be robust
  • Can be easily adapted to a variety of systems.
  • Need to be run in a near real time environment.


30
THANK YOU
Please call us toll free 1-866-APPRISE or
email cowen_at_apprisetech.com
4802 Oneota Street Duluth, MN 55807
USA www.apprisetech.com
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