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02/03/2014

Fractionating Hydrocarbons For Hazard 
and Risk Assessment;
Chemical and Biological Analysis

Why do this?
Risk management is the
language of business and
regulation

Risk assessment
Showing we can manage
risk instils confidence

Confidence builds trust in stakeholders
Trust supports legitimacy and community buy-in into
regeneration – a critical ‘quality of life’ endpoint for
sustainable communities

1
02/03/2014

B

• B – oil extracted from a oil‐
contaminated clay soil prior 
to remediation.

A

• A – residual oil remaining 
after windrow treatment.

C

• C – oil extracted from 
heavily contaminated peaty 
soil from a decommissioned 
oil refinery.

Extraction
Chemical analysis

Clean-up/class fractionation

analysis

Indicators
compounds
and fractions

Biosensor
Biological analysis

MPN
Respiration

Seed germination
Ecotoxicological tests

Human and
environmental
toxicology

Risk to human
health and
environment
from weathered
petroleum
hydrocarbons

Biosensors
Earthworms

Human exposure models
Water environment models

2
02/03/2014

SECOND LINK BIOREMEDIATION PROGRAMME

BIOREM 35
Optimising biopile processes for weathered hydrocarbons 
within a risk management framework ‐ PROMISE
S. Pollard, F. Coulon, G. Paton, J. Bellarby, 
K. Semple, G. Risdon, B. Bone, K. Brassington and 
S. Mitchell.

Chemical analysis

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02/03/2014

Chemical analysis

Speciation of oil extract
(class fractioning)

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02/03/2014

Identification of oil
target compounds

Chemical analysis
• Develop a robust analytical procedure for diagnostic
tool kit
» Complete recovery (low bias)
» Good precision (within and between batch)
» Conform to Environment Agency mCERTs performance
targets (30% bias, 15% precision)
» Compatible with UK risk framework (Carbon banding
convention(s) and Class fractionation)

• Outputs:
» Move to ultrasonic sequential solvent extraction with Acetone
and hexane
» Generate high throughput and fast process.
» scalable
» Remove evaporative steps
» Solvent exchange via water partitioning prior to class
fractionation

5
02/03/2014

Contaminated Land
Exposure Assessment:
CLEA model

Tolerable daily intake

Hydrocarbon
fractions

TDIoral
( g kg-1 bw day-1)
EA
MADEP
TPHCWG
(2006)
(2002)
(1997)

Aliphatic fractions
>C5-C6
60
40
>C6-C8
2000
40
>C8-C10
100
100
>C10-C12
100
100
>C12-C16
100
100
>C16-C35
2000
2000
>C35-C44
6000
Aromatic fractions
>C5-C7
>C7-C8
200
>C8-C10
100
30
>C10-C12
40
30
>C12-C16
40
30
>C16-C21
30
30
>C21-C35
12.5
30
>C35-C44
12.5
Combined Aliphatic and aromatic fractions
>C44-C70
12.5

EA
(2006)

TDIInhalation
( g kg-1 bw day-1 )
MADEP
TPHCWG
(2002)
(1997)

5000
5000
100
100
100
2000
20000

200
770
60
60
60
-

60
60
60
60
60
-

5250
5250
285
285
285
-

2
200
40
40
40
30
30
30

74
63
15
15
NA
NA
NA

15
15
15
15
-

9
115
60
60
60
-

30

NA

Target
organs/systems
or effects

Neurological
Liver, blood
Liver

Liver,
neurological
Body weight
Kidney

-

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02/03/2014

Typical targets values in
petroleum hydrocarboncontaminated soils
a

b

GAC
-1
(mg kg )
UK
Petroleum
Hydrocarbon fractions

SSAC
-1
(mg kg )
UK

Aromatic
fractions

Industrial/
commercial

>C5-C6
>C6-C8
>C8-C10
>C10-C12
>C12-C16
>C16-C35
>C35-C44

2.11
5.37
1.46
8.6
42.1
27600
27600

95.3
242
65.9
29900
29900
617000
617000

Residential
without
plant
uptake
8.79
17.20
3.53
17.49
4888
137957
414509

>C5-C7
>C7-C8
>C8-C10
>C10-C12
>C12-C16
>C16-C21
>C21-C35
>C35-C44

0.613
0.694
2.39
14.2
72.7
291
417
417

26.9
30.4
107
625
12200
9190
9250
9250

1.85
4.12
5.54
29.5
148
1825
2074
2074

84
186
250
45021
60650
46430
46553
46553

>C44-C70

Aliphatic
fractions

Residential
without
plant uptake

417

9250

2073

Targets
organs/
systems or
effects

46553

Industrial
397
69000
11300
15700
16800
n.d
n.d

Neurological
Liver, blood
Liver

Liver,
neurological
Body weight
Kidney

Fugacity approach: Level I and II
Air 
(pore space)
CA

GACBA

GACA

• log Koil‐soil coefficients

ZA=1/RT

• weathering increases
PAH  log Koil‐soil

ZO=KOW/H
Oil (NAPL)
CNAPL

Fugacity
f
ZS=Kpρs/H

Sorbed 
on mineral soil
Cs

GWCBW

• risk = f (availability and 
toxic response)
• Combination of advective 
processes and degrading reactions

ZA=1/H
Pore water
Cw

• fate drives analysis, 
exposure and performance

•Determination of compounds 
persistence or residence time
GWCW

7
02/03/2014

Partitioning behaviour: Fugacity level I

General partitioning behaviour and 
preferential partitioning in a 
constructed biopile

Fugacity calculator for subsurface 
environments. Available at
http://www.infoclearinghouse.com/files/Fuga
cityEXCEL.xls

1
2
3
4
5
6
7
8
9
10

> EC10-EC12
> EC12-EC16
> EC16-EC21

> EC21-EC35

Naphthalene
Acenaphthene
1-methylphenanthrene
Anthracene
Phenanthrene
Pyrene
Chrysene
Benzo(a)pyrene
Benzo(a)anthracene
Benzo(ghi)perylene

Air
0.0
0.0
0.2
0.0
0.0
0.0
0.0
0.0
0.0
0.0

Water
0.2
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0

Soil
51.5
49.8
15.1
42.4
41.8
45.2
44.7
88.7
84.8
44.7

NAPL
48.4
50.2
84.7
57.6
58.2
54.8
55.3
11.3
15.2
55.3

Residence time: Fugacity level II
Distribution of 5 chemicals modelled in soil microcosms where advection 
and degradation reaction were combined

100 mol of each compound 
was used in the model

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02/03/2014

Environmental Standards and DWS values
COC
Phenols Monohydric
Benzene
Toluene
Ethyl benzene
m & p Xylene
o Xylene
Aliphatics C5-C6
Aliphatics >C6-C8
Aliphatics >C8-C10
Aliphatics >C10-C12
Aliphatics >C12-C16
Aliphatics >C16-C21
Aliphatics >C21-C35
Aromatics C6-C7
Aromatics >C7-C8
Aromatics >EC8-EC10
Aromatics >EC10-EC12
Aromatics >EC12-EC16
Aromatics >EC16-EC21
Aromatics >EC21-EC35
Naphthalene
Benzo(b)fluoranthene
Benzo(k)fluoranthene
Benzo(a)pyrene
Indeno(123cd)pyrene
Benzo(ghi)perylene

EQS/DWS
(µg/l)
30
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
0.10
0.10
0.01
0.10
0.10

receptors

Source
pathway

groundwater

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02/03/2014

Bioassays
Microbial

Biomass

Earthworms

Plants

Lethal and Sub-lethal

Seed Germination

Respiration

Eisenia fetida

Mustard

Nitrification

Lumbricus terrestris

Rye grass

Enzyme assays

Pea

lux-based bacteria

• The hydrocarbons will 
age and the 
bioavailability (as a 
function of degradation 
and toxicity) will change
• Toxicity may increase and 
then decrease in 
association with 
biodegradation
• Field scale validation may 
respond in parallel

% Bioavailable / Non-Bioavailable / Loss

What do we expect to happen?
100

Ageing

90
% Bioavailable

80

% Non-bioavailable

70

Decreasing
Bioavailable
Fraction with
time

60
50
40
30

Increasing
Non-Bioavailable
Fraction with
time

20
10
0
Arbitrary Time

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02/03/2014

Soil B
Risk
Hresidential
Eco
Water

24000

Promise
Promise
Promise

TPH Concentration mg/kg

20000

16000
CONTROL
12000

N/P
INNOCULUM N/P

8000

4000

0
0

2

4

6

8

10

12

14

16

18

Tim e (Months)

Soil C
24000
CONTROL

20000

Promise
Promise
Promise

TPH Concentration mg/kg

N/P
INOCULUM N/P

16000

Risk
Hresidential
Eco
Water

12000

8000
4000

0
0

2

4

6

8

10

12

14

16

18

Tim e (Months)

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02/03/2014

Pre‐mixing

Inoculum

12
02/03/2014

Windrow Turning

Windrow Turning

13
02/03/2014

Importance of Irrigation

Routine Monitoring Continues

14
02/03/2014

TPH Degradation‐ Biopiles
Risk
Hresidential
Eco
Water

3000

TPH Concentration (mg/kg)

2500

Promise
Promise
Promise

*

2000
Control
(Biopile + no enhanc)

1500

*
1000

(Biopile + Nutrient)

**

(Biopile + Nutrient +Inoc.)

500

0
0

37

91

Day

TPH Degradation‐ Windrows
Control
3000

Risk
Hresidential
Eco
Water

Promise
Promise
Promise

TPH Concentration (mg/kg)

2500

Windrow control
Nutrient
Nutrient +Inoc.

2000

1500

1000

500

0
0

10

20

30

40

50

60

70

80

90

Day

15
02/03/2014

Remediation Decision Support Tool

•

Developed support tool based on 3 tiers, designed to reduce uncertainty in technology 
selection

•

Road tested on genuine scenarios 

•

The tool assists in the decision making process of remediation technologies: 
– Enabling transparent justification of selection
– Gives focussed and streamlined support for targeting best options.
– Interfaces with web to enable continual updating as practices become established 
and lessons are learned 

Predicting Hydrocarbon Remediation?
•

Empirical data from thirty sites have been generated & applied to appraise and 
validate.

Resp
BF =

(I x [TPH]

[TPH]

x

log (MPN)

x

Inhibition

BF = bioremediation function
I = induction
[TPH] =TPH concentration
MPN = most probable number
Resp = respiration

16
02/03/2014

BF & Rate of Degradation
10000

1000

Rate (mg/kg/day)

100

10

1
1e+1

1e+2

1e+3

1e+4

1e+5

1e+6

1e+7

1e+8

BF

Hydrocarbon Validation

17
02/03/2014

OVERVIEW‐ ORGANISING A 
SUITABLE MATRIX

Phase 1
Desk‐based assessment of site 
characteristics and estimation of 
potential harm

Tier 1
Cost estimator for the remediation of the 
contaminated site and generic options

Phase 2
Intrusive investigation of the site and 
quantitative risk assessment

Tier 2
Detailed options appraisal‐
allowing comparative and 
transparent approach

Phase 3
Diagnostics of most suitable 
strategy for remediation

Tier 3
Detailed options appraisal‐
allowing comparative and 
transparent approach

Phase 4
Verification of the remediation 
strategy

18
02/03/2014

TIER 1‐ RAPID OVERVIEW WITH 
LIMITED DATA

Probability/ Consequence Matrix

Consequence
Severe
V. Likely

Medium

Mild

Minor

Probability

V High Risk

High Risk

Moderate 
Risk

Moderate/ 
low risk

Likely

High Risk

Moderate 
Risk

Moderate/ 
Low Risk

Low risk

Low 
Likely

Moderate Risk

Moderate/
Low risk

Low Risk

Very low 
risk

Unlikely

Moderate/ Low
Risk

Low risk

Very low 
risk

Very low 
risk

19
02/03/2014

Data Input from Phase 1

Data Input from Tier 1

20
02/03/2014

Output

TIER 2‐ SITE SPECIFIC MATCHING OF 
TECHNIQUES

21
02/03/2014

Tier 1 deals with source removal/ containment and impacted groundwater. 

What is the size of the site?‐ user defined input hectares

How many contaminant source zones are there? 
User defined

What are the chemicals of 
concern at each of the 
contaminant source zonese? 
What is their likely risk?

Yes

Is source remediation the practical solution?

Individually define the area of each of the  
contaminant source zones.  User defined

No

What media require to be 
remediated?
1. Metals and Semi‐metal 
2. Total Petroleum 
Hydrocarbons
3.  PCBs
Gas 
Mitigation

Landfill

4 . Cyanide

Chemical/ Physical

1,2,3,4,5,7

Bio‐ on site ex situ

5. Chlorinated solvents

Methods using excavation
Will source 
removal 
mitigate the 
water 
environment?

6.  Asbestos
Yes

1, 2, 3, 4,5,6,7,8

2, 5

Soil

7. Pathogens

Methods not using excavation

8. Gas
No

Do I still 
require action 
for gas 
mitigation?

Chemical/ Physical

Yes
Treat Water

Passive

Capping
Bio‐ on site in situ

Active

1, 2, 3, 4,5,7
1, 2, 3, 4, 7

2, 5

No
Non Pump and Treat

Pump and Treat

End
1, 2, 4,5,7

1, 2, 4,5,7

Do I still 
require action 
for gas 
mitigation?

Which does what?

22
02/03/2014

Chemicals of Concern

Remediation DST Tier 2
Site name
Contaminated material
Completed by
Date completed
What COCs require remediation?

•

Is the matrix capable of supporting high
bioactivity?
SOIL

GROUNDWATER

Visual basic interface

•

Multi‐pollutant  credible

•

Is the COC present as a NAPL in the
matrix/ groundwater?

Considers major processes

•

Links to a ranked output

Do any of the COCs have a high Kd or
Koc in the matrix?

What is the texture of the matrix?

Does the matrix have high hydraulic
conductivity?

Is the contaminated groundwater in a
confined aquifer?

Is there a hydrologically-impermeable
layer to make the placement of a barrier a
viable option?

Is there likely to be such strong flow of
relatively clean groundwater that Pumpand-Treat is not a viable option?

Is excavation of the contaminated matrix
a viable option?

Is there space on site for ex situ
treatment of the contaminated matrix?

Can the storage and treatment of
excavated material be conducted without
impairment of the surrounding
environment?

Is the availability of water a potential
constraint on remediation?

For how long can site use or
redevelopment be constrained by
remediation activities?

How long until remedial targets must be
achieved?

Does COC removal have to be achieved?

23
02/03/2014

Phase 1
Desk‐based assessment of site 
characteristics and estimation of 
potential harm

Tier 1
Cost estimator for the remediation of the 
contaminated site and generic options

Phase 2
Intrusive investigation of the site 
and quantitative risk assessment

Tier 2‐Relative Ranking
Transparent comparison between 
technologies‐ relative tanking

Tier 2
Detailed options appraisal‐
allowing comparative and 
transparent approach

Phase 3
Diagnostics of most suitable 
strategy for remediation

Tier 2‐Cost
A detailed cost comparison of the 
most suitable techniques

Tier 3

Tier 2‐Environment

Detailed options appraisal‐
allowing comparative and 
transparent approach

Relative carbon costing of the 
defined technologies

Phase 4
Verification of the remediation 
strategy

24
02/03/2014

TIER 3‐ SITE SPECIFIC PROCEDURES 
WITH REGULATORY ENGAGEMENT

Aqueous
Biological

Physical

Chemical

Organic
Detergent

Partitioning

Degradation

Solid amendment

Aqueous amendment

NAPL
Passive Technologies

Techniques that remove contaminants

Techniques that immobilise contaminants

Techniques for Soil
Remediation Strategy
Techniques for Soil

Passive Technologies

Techniques that manage NAPL

Techniques that manage aqueous

25
02/03/2014

Material Being Excavated

Data Collection
Nutrient level
Moisture
pH
TPH
MPN
Biosensor
CO2
O2

Assess against Risk
Pass- then stockpile
Fail- then biopile

TPH Characterisation
On site FID
Off site analysis

FID low levels
Group material and send to AlControl
Phase material
Group material; do not add to biopiles

TPH levels
If TPH between 0.05 and 10 g/kg
Consider for biopiling

End-point Criteria
Olfactory
Risk-based
Physical/ engineering

Non-TPH
Group material and send to AlControl
Excessive TPH
Levels exceeding 10 g/kg

Site Status
Base of biopile area
Made ready as Page 6

Difficult Substances
Group and stockpile
For decision later

Material Management
Data collection for characterisation

Nutrient Amendment
If trace levels are present,
use 100:10:1
Select N source to suit pH
(urea, ammonium nitrate)
Add before biopiling and mix
well.

Moisture
Determine the water
holding capacity of the soil
and maintain at levels as
per manual.

pH of soil
Amend with lime or
sulphur to reach pH of 67.5.
Use standard agricultural
calculation but remember
CEC will be low

TPH
Calibrate FID with AlControl/
lab data and record for site
characterisation

MPN
A count of less than
104 is too low and
augmentation is
requirted

Biopile Algorithm
Put derived data into equation (p29)
and calculate decay

Amend and Optimise before biopiling

Tier 3 – Hydrocarbon  on Site

Verify Algorithm
Use microcosm to check algorithm
prediction- max 2 weeks

Tier 3 – Hydrocarbon Example
Less than 100 mg/kg-1

Is the material particularly
recalcitrant?

Is the site potentially suitable
for remediation of this type?

1

Biosensor
Use MeOH and
water to assess
bioavailability of copollutant and TPH

Yes

Red

No
Green
100 – 10,000 mg/kg-1
Can a pre-treatment reduce concentration?
> 10,000 mg/kg-1

To proceed with this part a set
of key criteria is required

Exit

Red

Essential Information
What type of hydrocarbons are
associated with materials?

2

Precautions for volatile loss
is required.

Amber

Light aliphatic and mono-aromatic

Green

Gasoline/paraffin/ diesel
range
Manufactured gas plant
residue

Amber
Amber

Bunker oil
Heavy distillate refinery waste

Too prone to
drought
3

Green

What rate of respiration is
associated with the matrix?

4

Red

pH

mg CO2 g soil (dw) d-1

< 0.02

Red

< 10

10 - 60

0.02 – 0.2

Red

5.5 – 8.0

How many g of water
to add to 100g dw to
bring to 100% FC?

> 8.5

Amber

Amber

Such low respiration
is unlikely to be enhance
by augmentation
May be enhanced by
augmentation: should
be done before
proceeding.

Green
> 0.2

4.5 – 5.5 and

Green

Amber

8.0 – 8.5
Red

> 60
Red

Red

Bulk density

g cm-3

Green

0.5 – 1.9

Amber

< 0.5

5
WHC (water holding
capacity)

< 4.5

> 1.9

< 4.5

Too difficult to
manage

Red

6

26
02/03/2014

Integration of Tiers
•

Information in tiers integrated together to form more manageable and aesthetically 
pleasing interface………the Remediation DST support tool.

CASE STUDIES

27
02/03/2014

What we know and what we need to know
The slipway area is impacted with 
• Biodegradation and 
hydrocarbons
partitioning  work is well 
Contamination starts from 2 m bgl
underway 
The area is tidal
• Unlikely that neighbouring 
The contamination is within a defined 
sites contribute to 
zone 
contamination source
Limited ability to excavate
Over 2000 tonnes of soil has been 
removed
Over 1700 tonnes of water has been 
treated
Phase has been effectively managed

28
02/03/2014

Case Studies DST – Application to Genuine Environment
•

A former railway yard, contaminated 
with an excess of heavy and mid‐range 
hydrocarbons

•

Cement and aggregate provider 
concerned about the environmental 
liability associated with a landfill site

•

DST proposed action: windrow/ 
biopiling or landfarm

•

DST proposed action: MNA, 
windrow/biopile or landfill

•

Actual action: as DST suggested, 
biopiling was evaluated 

•

Actual action: as DST suggested, MNA 
was evaluated.

29
02/03/2014

Case Studies DST – Application to Genuine Environment
•

A former metal works facility to be re‐
used for light industry

•

•

DST proposed action: excavation and 
some complexation agents

•

•

Cement factory with significant 
contamination issues and need for 
“greening”
DST proposed wide range of actions 
and these are being systematically 
developed and applied 

Actual action: as DST suggested

Case Studies DST – Application to Genuine Environment
•

A  impacted plume in an urban setting

•

Former goods yard was grossly 
hydrocarbon impacted

•

DST proposed action: pump and treat 
through a range of processes

•

DST proposed action: barrier and 
bioremediation

•

Actual action: as DST suggested, MNA 
was also evaluated. 

•

Actual action as DST

30
02/03/2014

Phase 1
Desk‐based assessment of site 
characteristics and estimation of 
potential harm

End‐User
Tier 1
Cost estimator for the remediation of the 
contaminated site and generic options

This is intended to be applied by a 
knowledgeable but non expert to enable an 
estimation of the likely cost incurred by 
these activities. 

Phase 2
Intrusive investigation of the site 
and quantitative risk assessment

Tier 2‐Relative Ranking
Transparent comparison between 
technologies‐ relative tanking

Tier 2
Tier 2‐Cost

Detailed options appraisal‐
allowing comparative and 
transparent approach

A detailed cost comparison of the 
most suitable techniques

Tier 3

Phase 3
Diagnostics of most suitable 
strategy for remediation

This stage is 
used by an 
operator with 
contaminated 
land 
experience. 

Tier 2‐Environment

Detailed options appraisal‐
allowing comparative and 
transparent approach

End‐User

Relative carbon costing of the 
defined technologies

User

Phase 4
Verification of the remediation 
strategy

Cost estimator for the remediation of the 
contaminated site and generic options

Thank you for your attention

31

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