Cumulative Deposition from OBOD for Preparing Predictive Risk Assessment Associated with Subpart X P - PowerPoint PPT Presentation

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Cumulative Deposition from OBOD for Preparing Predictive Risk Assessment Associated with Subpart X P

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Venkat V. Devarakonda and N. Albert Moussa ... Cumulative Deposition Isopleth. Use Isopleths for Conducting Predictive Risk Assessments ... – PowerPoint PPT presentation

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Title: Cumulative Deposition from OBOD for Preparing Predictive Risk Assessment Associated with Subpart X P


1
Cumulative Deposition from OB/OD for Preparing
Predictive Risk Assessment Associated with
Subpart X Permitting
  • Brian Derry
  • EnSafe Inc., 5724 Summer Trees Drive, Memphis, TN
  • Tel (901) 372-7962 Fax(901) 372-2454
  • www.ensafe.com
  • Venkat V. Devarakonda and N. Albert Moussa
  • BlazeTech Corp., 24 Thorndike St., Cambridge, MA
    02141
  • Tel (617) 661-0700 Fax (617) 661-9242
  • www.blazetech.com

2
Overview
  • Permitting Issues
  • Site Location
  • Site specific Meteorology
  • Constituent Information
  • Emission Data
  • Cumulative Deposition
  • Documentation

3
Permitting Issues
  • Air Pathway
  • Total Suspended Particulates
  • Products of Combustion
  • and Gaseous Pollutants
  • Soil Pathway
  • Deposition
  • Predictive Risk Assessment

4
Site Location
  • Key parameters involved
  • Low population density
  • Low Traffic
  • Stable and predictable atmospheric conditions
  • Location Away from water bodies
  • Specific Locations of Sensitive Receptors
  • Human
  • Ecological

5
Site Meteorology
  • Ambient Conditions
  • Temperature
  • Pressure
  • Humidity
  • Roughness length

6
Site Meteorology
  • Location
  • Latitude
  • Longitude
  • Elevation
  • Wind Measurement height

7
Other Factors to be Considered
  • Soil Conditions
  • Type-plastic loam, moraine loam, water-bearing
    sand, and water bearing loam
  • Composition-30 sand, 60 clay, and 10 weak
    limestone

8
Typical Munitions Treated
  • Bulk Explosives
  • Fuses
  • Demolition Material
  • Projectiles
  • Cartridges
  • Explosive components
  • Untreated Wood
  • Bombs
  • Rockets
  • Selected warheads
  • Grenades
  • Boosters
  • Mines
  • Propellant
  • Diesel Fuel
  • Small Arms
  • PPE
  • Paper etc..

9
Munitions Constituent Data
  • Constituent data for each type of munition is
    compiled from the Munitions Items Disposition
    Action System (MIDAS)
  • Listed by NSN
  • Constituent
  • CAS Information
  • Weight
  • Includes Casing Information

10
Munitions Constituent Data
  • Treatment Scenarios
  • Operations are typically limited by total NEW
  • Consider historical treatment scenarios if
    available
  • Actual treatment scenarios usually have multiple
    types of munitions
  • Fuses Rockets Grenades or
  • Boosters Bombs Small arms

11
Munitions Constituent Data
  • Break items in each scenario down into components
    and sum similar components

12
Classical Dispersion
Problem Need Emission Factors as Source Term
13
Key Processes Affecting Emission Factors
14
Typical Modeling Shortfalls
  • Typical models have several limitations
  • Cannot Predict Products of combustion
  • Must use emission factors or
  • calculate products of combustion and enter the
    results into a model
  • Air moisture entrainment is estimated
  • OBODM must rerun for each pollutant
  • OBODM cannot handle multiple munitions items at
    once without emission factors

15
ADORA SOLUTION
  • ADORA is the only software that
  • Performs dispersion calculations
  • without emission factors
  • without arbitrary assumptions
  • air entrainment
  • reaction completeness
  • Couples Atmospheric Dispersion with time varying
    chemistry

16
ADORA SOLUTION Contd
  • Fireball temperature
  • Reaction Products
  • initial
  • intermediate
  • and final
  • Accounts for
  • air and moisture entrainment
  • heat release
  • cloud behavior

17
ADORA Background
  • Developed for munitions testing under Air Force
    contract 1993-1996
  • Code extended for use with
  • OB/OD
  • Chemical fires and explosions
  • Various types of moisture reactive chemical
    releases

18
Comparison of ADORA and Other Codes
Thermochemical equilibrium calculations before
air dispersion modeling
19
Uniqueness of ADORA
  • Entrainment rates are calculated as the cloud
    evolves
  • Partially Constrained Equilibrium (Kinetic
    Approximations)
  • Coupling of Chemistry and Entrainment
  • Below Ground Detonation Model
  • Fireball and Tail Model
  • Instantaneous Puff Rise Model

20
Inputs to ADORA
  • Release type
  • open burn
  • above ground detonation
  • below ground detonation
  • Release Composition
  • Quantity
  • Type

21
Inputs to ADORA Contd
  • Meteorological
  • release time and location
  • Site specific conditions
  • temperature
  • pressure
  • humidity
  • wind speed
  • roughness
  • stability parameters

22
Outputs of ADORA
  • Active Dispersion Phase
  • cloud height
  • temperature
  • density
  • volume
  • concentration as a function of
  • time
  • space

23
Outputs of ADORA Contd
  • Transition Phase
  • cloud composition
  • location
  • size
  • Passive Dispersion Phase
  • Downwind Concentrations
  • dosages
  • deposition

24
Sample Calculations--ADORA Inputs
  • Release type-Above ground Open Detonation
  • Release Composition-55 constituents
  • energetic materials
  • metals
  • binders
  • inert

25
Sample Calculations--ADORA Inputs Contd
  • 2 sets of meteorological conditions
  • Set 1
  • wind speed 2 m/s
  • stability class B
  • Set 2
  • wind speed 4.5 m/s
  • stability class C
  • All other conditions are maintained

26
ADORA Outputs-Cloud Properties at Transition to
Passive Dispersion
27
X-Z Concentration Contours of NO (mg/m3)
28
Deposition Contours of PbO2 (mg/m3)
29
Cumulative Effect of Proposed OB/OD Operations
  • Most hazardous species emitted into atmosphere
    condensates containing toxic metals such as Pb,
    Cd, Cr, Sn, Sb, As, B, Ba, Mn, etc.
  • Condensates eventually deposit on the ground

30
Cumulative Effect of Proposed OB/OD Operations
Contd
  • Summation based on
  • Inputs -- not realistic
  • Outputs -- averaging based on changes in wind
    direction during the year

31
Cumulative Deposition Estimates
  • Multiply ADORA outputs by number of events per
    year and life expectancy of unit in years
  • Distribute data in multiple directions based on
    actual data.
  • Only consider met data that is valid when unit is
    operated (i.e. daytime, without precipitation)

32
Cumulative Deposition Isopleth
33
Use Isopleths for Conducting Predictive Risk
Assessments
  • Provides estimates of future soil concentrations
    for preparation of risk assessment
  • Provides for acute and chronic exposures
    assessments
  • Eliminate receptors that are not within the
    deposition area.

34
Conclusions
  • Developed a protocol for the preparation of the
    permit application
  • Emission factor based techniques were inadequate
    to accurately predict the toxic emission and
    hazard areas associated with the proposed OB/OD
    operations
  • Employed ADORA
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