Using GIS to Assess Potential Abiotic Degradation of Chlorinated Ethenes - PowerPoint PPT Presentation

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Using GIS to Assess Potential Abiotic Degradation of Chlorinated Ethenes

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Title: Using GIS to Assess Potential Abiotic Degradation of Chlorinated Ethenes


1
Using GIS to Assess Potential Abiotic Degradation
of Chlorinated Ethenes
  • Tim Glover and Theodore Parks
  • MACTEC Engineering and Consulting
  • Kennesaw, GA USA

2
Steps in the Evaluation
  • Partition Areas
  • Determine Scoring Method(s)
  • Compile Data
  • Generate Scores
  • Display Scores
  • Assess Potential(s)

3
Partition Areas
  • Site broken into layers
  • Soils
  • Shallow groundwater
  • Deep groundwater
  • Then
  • Existing sample points for each identified
  • Representative areas assigned to each data point

4
(No Transcript)
5
Partition Areas
  • Thiessen Polygons First used by Descartes in
    1644 in astronomy
  • Described by Thiessen in 1911 for weather
    observations
  • Known by many other names
  • Region of Influence method
  • Includes all areas closer to a data point than to
    any other data point

6
Thiessen Polygons Example
  • Data points plotted
  • Lines equidistant from closest points drawn
  • Polygons generated from these line segments
  • Value of data point is a best estimate for
    value anywhere in polygon

7
Thiessen Polygons Example
  • Actual Soil sample locations

8
Determine Scoring Method(s)
  • For chlorinated ethenes, at least two degradation
    modes biotic and abiotic
  • Biotic is caused or greatly facilitated by
    biological activity
  • Abiotic does not need direct biological
    activity to proceed.

9
Biotic Scoring Method
  • Industry Standard Weidermeier Protocol
  • Weight of evidence method
  • Varying positive points for good aspects
  • Varying negative points for bad aspects
  • The sum of points (positive and negative) is used
    to assess the potential

10
Some Good aspects
  • Low dissolved oxygen
  • Reducing conditions (negative ORP)
  • Elevated bicarbonate and chloride
  • Sufficient soil organic carbon
  • Near-neutral pH
  • Evidence of breakdown products

11
Some Bad Aspects
  • The opposite of any good aspect
  • Excessive sulfate
  • Excessive nitrate
  • Too cold

12
Biotic Scoring Ranges
  • Evidence for anaerobic biodegradation of
    chlorinated organics
  • 0 to 5 - Inadequate evidence
  • 6 to 14 - Limited evidence
  • 15 to 20 - Adequate evidence
  • More than 20 - Strong evidence

13
Abiotic Scoring Method
  • No existing industry standard protocol
  • Developed one modeled after biotic protocol
  • Also weight of evidence
  • Single point (1) for good aspect
  • Single point (-1) for bad aspect
  • Final score is sum of points

14
Some Good Aspects
  • Different aspects from biotic
  • Mineral evidence of reduced iron oxides
  • Chemical evidence of reducing conditions
  • Breakdown products (different than biotic
    breakdown products)

15
Some BadAspects
  • Lack of reduced iron oxide minerals
  • Presence of oxidized iron oxide minerals
  • General oxidizing chemical conditions

16
Abiotic Scoring
  • No set scoring ranges (no protocol)
  • Positive scores suggest potential
  • Negative scores limit potential

17
Compiling Data
  • Five data sets
  • Soils abiotic
  • Shallow groundwater biotic
  • Shallow groundwater abiotic
  • Deep groundwater biotic
  • Deep groundwater - abiotic

18
Data Sources
  • Classic MNA (monitored natural attenuation) data
    for biotic
  • AMIBA (Aqueous and Mineralogical Intrinsic
    Bioremediation Assessment ) data for abiotic

19
MNA - Biotic
  • From Weidermeier Protocol standardized
  • General measures of redox conditions (H 2 and DO)
  • Biotic breakdown products (DCE, VC)
  • Inorganic breakdown products (HCO3-, Cl-)
  • Competing redox reactions (SO4, NO3)

20
AMIBA - Abiotic
  • No standardized protocol innovate!
  • Designed for fuel hydrocarbons not chlorinated
    solvents
  • Assesses oxidative capacity for fuel spills
  • Can be used backwards to assess reductive
    capacity for solvents

21
Compile Data
  • Extract pertinent data and spatial coordinates
    from database
  • Consolidate data and quality check

22
Generate Scores
  • Run queries to assign points for each scoring
    method
  • Sum assigned points for each layer and scoring
    method
  • Generate Thiessen shape files (5) one for each
    scoring method and layer

23
Soils Abiotic
24
Shallow Groundwater Biotic
25
Shallow Groundwater Abiotic
26
Deep Groundwater Biotic
27
Deep Groundwater Abiotic
28
Assess Potentials
  • Display scoring polygons
  • Overlay plume outline
  • Interpret potential for degradation

29
Shallow Groundwater Biotic
30
Shallow Groundwater Abiotic
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