US Construction projected to be $946 Billion in 2014

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REAL-TIME ENVIRONMENTAL
MONITORING IN CONSTRUCTION: A RISK
MANAGEMENT FRIEND OR FOE?
Presented By:
Michael Wiebe, ARM PE
mike@wiebeassoc.com
PROVIDED BY
Bruce D. Groves, CIH
bgroves@emilcott.com
Recording of this session via any media type is strictly prohibited.
SPEAKERS
• Michael Wiebe, ARM, PE - President, Wiebe Associates, LLC; Sleepy Hollow,
NY
• Bruce D. Groves, CIH – President, Emilcott Technologies, LLC; Morristown, NJ
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AGENDA
• Introduction
• The Impact of Big Data in EHS in
Construction
• Risk Management Issues
• Technology
• Questions and Answers
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CONSTRUCTION
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US Construction projected to be $946 Billion in 2014
Construction is disruptive, dirty, unpopular and potentially hazardous
Exposures - What was previously anecdotal is now quantifiable!
How does that change the Risk Management strategies?
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BIG EHS DATA IN A BOX
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ENVIRONMENTAL MONITORING SYSTEM TECHNOLOGY
Innovation, Innovation, Innovation
1. Detectors, Sensors and Bundling
2. Field Computers
3. Wireless Communication
4. Database Processing
5. User Interfaces and Visualization
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CONSTRUCTION EXPOSURES AND HAZARDS
• Noise
• Vibration
• Dust, Particulates, and
Aerosols
• Fumes
• Vapors and Gases
• Radiation – Ionizing and Non
Ionizing
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BIG DATA OPTIONS AT CONSTRUCTION SITES
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Particulates and Aerosols
Vapors and Gases (TVOC)
Real-time Chemical Screening with Automated Sampling
Reduced Sulfur and Hydrogen Sulfide – Odor Quantification
Weather and Wind Speed and Direction
Noise (AUDIO clip)
Vibration
Optical sensors
Video
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2013-2018 – New NY Bridge Construction
• $4 Billion 5 Year bridge construction project
• Much public pressure – locally very unpopular
• Real-time Monitoring promised, mandated and deployed
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To Gain Support - Environmental Monitoring was Promised:
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Up to12 stations conducting real-time monitoring:
Dust (PM 2.5, 10 and Total),
Noise and Vibration
Wind Speed and Direction
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5 YEARS OF BIG DATA
 Dust, Noise and Vibration
Readings 24x7x52x5
 43,680 hours x 12 stations
 524,160 hours of sampling
results anticipated
 Data every 15 seconds =
Millions of sampling points
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RISK MANAGEMENT CASE
• $100 MM construction of
office building on urban
Brownfield site
• 10th Brownfield Construction
Project
• 8 Stations -18 months – Dust,
Noise and Vibration 24/7
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RISK MANAGER ASKS:
• How will this be different than the
other 9 projects?
• Who will get access to this data?
• Will it change how we perform
the construction?
• Will it add cost to the project?
• What are the consequences to
generating all this data?
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EHS MANAGER SUMMARIZES:
• There is a high probability of exceedances
• Exceedances may not be related to
construction
• There will be a need for more resources to
handle the real-time flow of data and to
be able to respond
• There may be significant consequences
from bad results
• There will be much data
• It will be a different project than the other
9..
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RISK MANAGEMENT IMPACTS:
HOW THIS DATA IS USED
1. Optimize Controls and Work
Practices to improve conditions
2. Defend Spurious Claims
3. Measure projects contribution to
real claims
4. Support claims that are not
legitimate
5. Create concerns that are not real
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UNCONVENTIONAL CONSTRUCTION
• Landfill reopened after 35 years
to support solar farm
• Hundreds of trucks with
demolition/construction debris
• Odors begin immediately in late
2012
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Recording of this session via any media type is strictly prohibited.
RESULTS
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OUTCOMES
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Thousands of notifications >30 ppb sent to hundreds of people 24/7
Successful legal challenge to stop landfill activities
Regulators accelerate implementation of permanent remedy
Legislation passed in 60 days and the State has taken over the site
Projected $60 MM remedy will be paid by the State’s Insurance
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EHS BIG DATA MONITORING SYSTEMS
• It’s all about the data
• Technology no longer limits the information
that is available….
• What data do we need and want?
• Need to re-interpret the results!
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INTERPRETING THE DATA - ALERTS AND THRESHOLDS
• Pass/Fail – Exceedances are your Foe!
Options
• Trends
• Relationships
• Offsite/Onsite
• Between Stations
• Correction Factors
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PM-2.5 vs Time of Day (Common vertical scale)
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RELATIONSHIP
NOTIFICATIONS
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BIG DATA IN EHS BEYOND CONSTRUCTION
• Industrial Sites
• Sensitive Receptors
• Refineries, Chemical and
Pharmaceutical Sites
• Hospitals – Indoor
• Areas of Complaints
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SUMMARY
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Big Data is being used today in measuring Environmental (EHS) Performance
in Construction
This data can be used to better manage and optimize performance and
reduce risk if these tools are understood and utilized correctly
Construction Operations and Management must embrace this fact and make
changes to integrate this data in how they make day to day decisions
Ultimately big EHS data can be your best friend in construction but the
journey requires using this data to realign priorities and make appropriate
sustainable changes
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QUESTIONS & ANSWERS
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