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By
Jim T. Markwiese, A.M. Vega, R. Green, and P. Black
Waste
Management Inc. is operating two long-term bioreactor
studies at the Outer Loop Landfill in Louisville, KY,
including facultative landfill bioreactor and staged
aerobic-anaerobic landfill bioreactor demonstrations.
A Quality Assurance Project Plan (QAPP) was prepared
to document the primary objectives and the data collection
and interpretation efforts for these studies. Treatment
and control groups were established and consist of separate
and distinct landfill units, each composed of paired
cells. The primary objective for both studies is to
evaluate leachate addition on waste stabilization.
Besides
describing the planned experimental design and data
analysis aspects of the project, the QAPP includes details
regarding sample representativeness and field and laboratory
analytical quality-assurance/quality-control (QA/QC)
procedures. All measurements needed to evaluate the
primary objectives (critical measurements) are supplemented
by QC checks so that data of known quality are generated.
These activities will help ensure that the data are
appropriate for their intended use: to provide the landfill
community with potential alternatives for rapid and
controlled reduction of the waste mass in a landfill
containment system. The approach described here has
potential applications to other landfill facilities
across the country.
There are
growing concerns about our ability to effectively manage
MSW. More wastes are being generated while it is becoming
increasingly difficult to site space for new landfills
(Tammemagi, 1999). And wastes landfilled in the past
are the source of many present-day human health and
ecological concerns. We need innovative technologies
to ensure that future waste management practices are
sustainable and environmentally sound. Greater economical
use of landfill space and more efficient gas and leachate
management would be positive steps in this direction.
In large
part, bacteria mediate waste degradation. This process
is often moisture-limited in a conventional landfill.
Bioreactor landfills are designed to accelerate the
biological stabilization of landfilled waste through
leachate recirculation, thus enhancing the microbial
decomposition of organic matter. Because waste stabilizes
more quickly and likely to a greater extent in a bioreactor
landfill than it would under conventional landfill operation,
the receiving cell can accept more waste sooner and
overall bioreactor landfill capacity should be greater.
Enhanced waste stabilization should also reduce the
potential for future environmental problems because
the generation and subsequent attenuation of high-strength
leachate occurs sooner than it would through conventional
landfilling. In addition, bioreactor technology can
reduce long-term requirements for monitoring gas migration
and cover maintenance while minimizing the time required
for profitable energy production through gas recovery
(Arner, 2002). Considering the potential environmental
and economic benefits of bioreactor operations, there
is great interest in this technology.
The bioreactor
QAPP (EPA, 2001) discussed here is under joint investigation
by the United States Environmental Protection Agency
and Waste Management Inc. (WMI) through a five-year
Cooperative Research and Development Agreement. The
project is currently in its second year. The Outer Loop
Landfill operated by WMI has been used for waste disposal
for approximately 35 years. Two multiyear projects are
underway at the site: a facultative landfill bioreactor
(FLB) study and an aerobic-anaerobic landfill bioreactor
(AALB) study. At Outer Loop, treatment and control groups
consist of separate and distinct landfill units, each
composed of two paired cells. In contrast to many bioreactor
demonstrations, these are large-scale projects. The
FLB study covers approximately 47 ac. in paired landfill
cells that are generally four to six years of age, and
the AALB study covers 12 ac. in paired one-year-old
landfill cells. The FLB cells are being retrofit for
bioreactor operation, whereas the bioreactor infrastructure
in the AALB cells is constructed as waste is added.
A separate unit of paired cells containing approximately
two- to three-year-old waste is used as the control
for the FLB and AALB studies.
Because landfill
units are filled sequentially (placement of waste in
a particular cell is only initiated after the current
waste-receiving cell is completely filled), individual
units in this study are not directly comparable with
respect to time. It is assumed that the control cells
will provide an adequate treatment reference by considering
them as temporally offset from the treatment cells.
For example, consider the comparison between FLB cells
and the control. As mentioned, FLB waste is generally
four to six years old and control waste is about two
to three years old. In three years, control waste will
be approximately the same age as present-day FLB waste.
Therefore, control samples collected three years following
the initiation of the FLB treatment should represent
the FLB cells as they were when leachate was first introduced.
FLB Study
The primary
objective is to evaluate waste stabilization resulting
from nitrate-enriched leachate application to test cells
relative to waste stabilization in control cells. This
approach is based on two premises: (1) the addition
of leachate will moisten and promote degradation of
the waste and (2) microorganisms present in the landfill
waste will use nitrate in the leachate as a terminal
electron acceptor for anaerobic metabolism. The ammonia-rich
leachate draining from the landfill is processed through
an onsite sequential batch reactor to convert ammonia
to nitrate. The nitrified leachate is reapplied to the
landfill, and as nitrate-containing liquid moves through
the upper sections of the FLB, denitrifying bacteria
convert nitrate to dinitrogen gas, which is lost to
the atmosphere. This transformation of nitrate nitrogen
to gaseous nitrogen should result in an efficient strategy
for leachate nitrogen management because there will
be a net loss of nitrogen from the landfill (Figure
1).

AALB Study
The primary
objective is to evaluate waste-stabilization enhancement
resulting from the sequential establishment of aerobic
and anaerobic conditions in the AALB cells relative
to waste stabilization in the control cells. Waste is
treated aerobically, similar to composting, by injecting
air into it for approximately 45 days. After aeration
is discontinued, the waste is moistened with leachate,
and anaerobic conditions are quickly established. The
rationale behind this sequential approach is to promote
the rapid decomposition of foodwaste and other easily
degradable organic matter in the aerobic stage of treatment
with the intent of reducing the amount of fermentable
organic matter entering the anaerobic stage. This could
shorten the acid generating phase of anaerobic waste
decomposition and result in a more rapid onset of methanogenesis
(Figure 2).

Critical
Measurements
Landfilled
waste typically progresses through five phases of degradation:
(1) adjustment or acclimation, (2) transition, (3) acidogenesis,
(4) methanogenesis, and (5) maturation (Reinhart and
Townsend, 1998). This degradation process can be collectively
considered as waste stabilization. At any given time,
landfill cells might be characterized as experiencing
one of the above phases. But because waste is deposited
in a landfill cell over time (months to years), waste-stabilization
phases tend to overlap and sharp boundaries between
phases are not typical. It is expected, however, that
the bioreactor treatments will increase the rate of
transition through the various phases relative to the
control. It is further expected that this enhanced transition
to stabilized waste will be discernable with trend analyses.
The following critical measurements (italicized) employed
in this study were selected to capture aspects of waste
stabilization over time.
- Acclimation.
During acclimation, microbial populations are in a
state of adjustment and respiration rates are generally
low. Waste moisture tends to increase and available
oxygen is consumed during this phase. The atmospheric-oxygen
supply to the buried waste is diffusion-limited and
outpaced by oxygen demand; consequently the concentration
of oxygen in the landfill cell begins to decrease.
- Transition.
In the transition phase, conditions turn anaerobic
as the oxygen consumption rate increases due to metabolism
of readily degradable wastes. Complex organic matter
is broken into simpler forms (e.g., organic acids),
and energy that is not captured by cells during respiration
is given off as heat. Waste and leachate
temperatures concomitantly increase during organic-matter
degradation. Other respiration byproducts (carbon
dioxide and volatile organic
acids) begin to increase in leachate.
- Acidogenesis.
During acidogenesis, the accumulation of volatile
organic acids reaches its peak due to metabolism
and fermentation of organic matter. The increase in
chemical oxygen demand and biochemical
oxygen demand indirectly reflects this increase
in degradable metabolites. In addition, the high concentration
of acids increases hydrogen ion activity, reflected
by decreased waste and leachate
pH. In the near absence of oxygen, metabolism
shifts to anaerobic bacteria capable of utilizing
alternate electron acceptors (e.g., nitrate and sulfate).
- Methanogenesis.
In the methanogenic phase, the supply of most electron
acceptors is exhausted. Methanogenic bacteria ferment
organic acids to methane and carbon
dioxide, while other methanogens utilize CO2
as their terminal electron acceptor. Consequently,
methane and CO2 gas volume
and production rates increase. Anaerobic respiration
is a proton-consuming process, and this is reflected
by an increase in pH values in the waste and
leachate.
- Maturation.
The maturation phase represents the end point of landfill
stabilization (surface global positioning
system [GPS] measurements). The overall conversion
of complex wastes to leachable organic acids and gaseous
products also serves to reduce the waste volume and
organic solids and to increase waste density.
Maturation occurs when degradable organic matter,
and consequently microbial growth, is limited. This
is reflected by decreases in the biochemical methane
potential and gaseous metabolic byproducts methane
and CO2. Concentrations of organics
in leachate remain steady but at substantially reduced
levels relative to earlier phases.
In addition
to the biological and chemical parameters listed, settlement
of the test and control cells will be measured by a
professional surveying team taking quarterly readings
of 40-80 GPS points in each treatment. The critical
measurements listed above directly support the primary
project objective of evaluating waste stabilization.
There are also many secondary measurements for each
matrix, including 17 additional parameters for leachate,
three for solid waste, and three for gas to evaluate
nonprimary project objectives.
Data Evaluation
Given the
heterogeneity of solid waste, the difference in age
between the treatment and control landfill cells and
the limited number of cells available for the investigation,
robust statistical methods will be employed. Typically,
nonparametric methods are more robust than parametric
ones, hence they are recommended here. Comparability
of treatment and control data (i.e., comparability among
landfill cells) will be examined before performing any
statistical analyses. If the treatment and control data
resulting from this project are determined to be incomparable,
the recommendations and conclusions will focus on the
weight of evidence provided by exploratory data analyses
to evaluate the effectiveness of the treatment. These
techniques include calculation of summary statistics
and investigation of the data using graphical analyses.
Assuming
the data from treatment and control are comparable,
the Mann-Kendall test for trend will be employed in
time-series analyses (Diggle, 1990). This test uses
the relationship between time-adjacent results to determine
whether there is sufficient evidence to detect an increasing
or decreasing trend. The treatment and control are assumed
to follow the same trend for a given measure, but the
time period over which the trend occurs is expected
to be different, with the trend in the treatment cell
being compressed over time compared with the control
cell. In this case, the differences between treatment
and control will get larger over time. Although research
has indicated that seasonal variability in stabilization
is likely (Saint-Fort, 2002), the differences will show
an increasing trend, even if seasonal fluctuations are
present.
QA and
QC
To optimally
generate appropriate data, a scientifically sound and
strictly followed QC program must be incorporated into
the sample collection and analytical aspects of the
project. Relative to other solid matrices (e.g., soil),
landfill waste is extremely heterogeneous. Several parameters
were considered in developing a sampling strategy to
represent the chemical, biological, and physical status
of a landfill in the most representative way possible.
Because each cell's leachate drains to a central
sump, samples collected at sumps should be representative
of the entire cell. Systematic locations for the gas
extraction and waste boring were chosen to maximize
the coverage within the zone of maximum vertical resolution
(i.e., away from the sides of the cell). The gas collected
from multiple collection points is mixed, helping ensure
representativeness of gas data. To minimize solid waste
sample variability, large sample volumes are being collected
in each treatment. GPS measurements are being used to
assess settlement, thus no physical samples are necessary.
Matrices will be sampled to provide a snapshot of the
historical contents of the landfill. The goal is to
effectively choose enough points on the landfill to
get a complete picture upon combining the information
from each snapshot.
The QA objectives
defined in the analytical program for the critical measurements
are summarized in Table 1 in terms of the following
data-quality indicators: precision, accuracy, method
detection limits, and completeness (100% completeness
is the target for all analyses). Comparability and representativeness
are achieved by the use of standard EPA methods or well-documented
standard operating procedure throughout the duration
of the project and through adherence to a well-defined
sampling strategy for capturing adequate samples to
characterize properties of each matrix. If necessary,
reanalysis of the samples will be conducted when possible.
Corrective actions (detailed in the QAPP) taken in response
to noncompliant data will be documented and summarized
in the project's final report, and the impact on project
objectives will be evaluated and discussed.
| TABLE
1. Quality-Assurance Objectives for Critical Measurements |
|
Measurement
|
Matrix
|
Time
Point*
|
Precision
(a)
|
Accuracy
(b)
|
RDLs
(c)
|
Units
|
|
Chemical
Oxygen Demand
|
Leachate
|
G
|
±
20%
|
100
± 20%
|
5
|
mg/l
|
|
Biochemical
Oxygen Demand
|
Leachate
|
G
|
±
20%
|
100
± 30%
|
2
|
mg/l
|
|
LeachateTemperature
(d)
|
Leachate
|
FE
|
±
1oC
|
±
1oC
|
N/A
|
°
C
|
|
pH
|
Leachate
|
FE
|
±
0.1
|
±
0.1
|
N/A
|
-log
H+
|
|
Volatile
Organic Acids
|
Leachate
|
G
|
±
20%
|
100
± 25%
|
0.1
|
mg/l
|
|
Waste
Temperature (d)
|
MSW
|
FE
|
±
1oC
|
±
1oC
|
N/A
|
°
C
|
|
Waste
Settlement (e)
|
N/A
|
T/S
P
|
±
5 cm
|
±
5 cm
|
N/A
|
cm
|
|
Organic
Solids (f)
|
MSW
|
G
|
±
25%
|
±
0.1%
|
N/A
|
%
|
|
Moisture
Content (f)
|
MSW
|
G
|
±
2%
|
±
0.1%
|
N/A
|
%
|
|
pH
(g)
|
MSW
|
G
|
±
0.1
|
±
0.1
|
N/A
|
-log
H+
|
|
Biochemical
Methane Potential
|
MSW
|
G
|
±
20%
|
100
± 20%
|
1
|
ml/g
|
|
Waste
Density
|
MSW
|
G
|
N/A
|
(h)
|
N/A
|
kg/m3
|
|
CH4,
CO2, O2 (h)
|
Gas
|
G
|
(i)
|
(i)
|
(i)
|
%
(vol.)
|
|
Gas
Volume (j)
|
Gas
|
G
|
±
5%
|
100
± 5%
|
N/A
|
ft.3
|
|
* Samples
are collected as a grab (G) or field electrode
(FE) at the point of collection. GPS measures
represent unique temporal/spatial sampling points
(T/S P).
- Precision
is expressed as the relative percent difference
(RPD) between spiked duplicates and/or lab duplicates
(biochemical methane potential precision assessed
with the relative standard deviation [RSD] of
triplicate samples).
- Accuracy
is expressed as the percent recovery of matrix
spikes or as the measurement of a known standard.
- RDLs
are the reporting detection limits as determined
by the lowest calibration standard or weight.
- Precision
and accuracy objectives for temperature are
based on thermocouple specifications.
- Precision
and accuracy objectives for GPS are based on
manufacturer specifications.
- Precision
and accuracy objectives for percent moisture
and organic solids are based on calibration
requirements for analytical balances and duplicate
weight measures of the same sample.
- Accuracy
for pH is based on known standards. Precision
is based on sample duplicate readings.
- Scale
is calibrated monthly and must be accurate to
± 1% of true weight.
- Gas
composition precision (sample duplicate) and
accuracy (certified gas standard) are as follows:
methane and carbon dioxide precision, ± 10%
(RPD); accuracy, 100 ± 10%; oxygen precision,
30% (RPD); accuracy, 30%. See Appendix C of
EPA, 2001.
- Gas
volume precision and accuracy are based on manufacturer
specifications and factory certification of
the flow meter used.
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Data Reporting,
Reduction, and Validation
For analytical
data to be scientifically valid, defensible, and comparable,
the correct equations and procedures must be used to
prepare the data. Evaluation of measurements is a systematic
review process to provide assurance that the data are
adequate for their intended use. The process includes
the following activities:
- Auditing
measurement-system calibration and calibration verification
- Auditing
QC activities
- Screening
data sets for outliers
- Reviewing
data for technical credibility vs. the sample site
setting
- Checking
intermediate calculations
- Certifying
the above process.
Lab data
validation procedures require employment of an independent
analyst to review all aspects of data generation, including
the calculation steps used to generate sample concentrations.
Outer Loop subcontracted laboratories will conduct this
activity as part of their normal operations. Individual
analysts will review the data generated each day to
determine the need for corrective action. Data will
also undergo a second review process conducted by one
of three independent reviewers (typically a second analyst,
a lab manager, or a QA manager). In addition, EPA or
WMI will perform data validation separate from that
performed by the laboratories on 10% of all data.
Audits
Audits are
an independent means of confirming the operation or
capability of a measurement system and of independently
documenting the use of QC measures designed to generate
valid data of known and acceptable quality. For all
tests and methods conducted by laboratories, the performance
evaluation (PE) samples received and processed by the
laboratories (or where the laboratory is not regulated,
PE samples submitted blind to analysts by laboratory
management) will be provided to WMI. For all failed
PE results, the laboratory will institute remedial actions,
and where valid performance of the measurement system
cannot be established, the laboratory will establish
corrective actions. These corrective actions will include
evaluation of testing data that might have been affected,
notification of the client if project data might have
been affected, and amended reports with data appropriately
qualified if and when the laboratory determines that
data have been affected. A system audit is a qualitative
determination of the overall ability of a measurement
system to produce data of known and acceptable quality
by an evaluation of all procedures, personnel, and equipment
utilized to generate the data. It is an evaluation of
whether adequate QC measures, policies, protocols, safeguards,
and instructions are inherent in the measurement system
to enable valid data generation and subsequent actions.
EPA QA personnel have conducted the first biannual technical
systems audits for field trials and the resulting laboratory
evaluations of the samples collected during field testing.
Summary
The planning
process outlined here will help ensure that data of
known quality are interpretable and useful for assessing
treatment effects associated with bioreactor technology.
This approach helps ensure the defensibility of decisions
regarding bioreactor landfills as a waste management
practice. The experiences and results of performing
a systematic planning process for the Outer Loop Landfill
might potentially be used in conducting, evaluating,
and regulating bioreactor landfills nationwide.
References
Arner,
Robert. "Perspectives in Landfill Gas-to-Energy:
A Snapshot of the Current State of the Industry."
MSW Management, www.forester.net/mw_0203_perspectives.html.
March/April 2002.
Diggle,
PJ. Time Series: A Biostatistical Introduction.
Oxford University Press, Oxford, England. 1990.
EPA.
Quality Assurance Project Plan for Landfill Bioreactor
Studies at Outer Loop Landfill, Louisville, Kentucky.
QAID: 302-Q2 (unpublished document). 2001.
Reinhart,
D.R. and T.G. Townsend. Landfill Bioreactor Design
and Operation. Lewis Publishers, Boca Raton, FL.
1998.
Saint-Fort,
R. "Assessing Sanitary Landfill Stabilization Using
Winter and Summer Waste Streams in Simulated Landfill
Cells." Journal of Environmental Science and
Health, Part A, Vol. 37, No. 2:237-259. 2002.
Tammemagi,
H. 1999. The Waste Crisis: Landfills, Incinerators
and the Search for a Sustainable Future. Oxford
University Press, NY.
Jim T.
Markwiese is an environmental biologist supporting EPA
quality staff on environmental assessment, remediation,
and waste management projects in Los Alamos, NM; A.M.
Vega is with the EPA National Risk Management Research
Laboratory in Cincinnati, OH; R. Green is with Waste
Management Inc., BioSites Group, in Cincinnati; and
P. Black is with Neptune and Company Inc. in Evergreen,
CO. EPA, through its Office of Research and Development,
collaborated with WMI in the study described here under
a Cooperative Research and Development Agreement. EPA
also funded Neptune and Company Inc. to assist with
the QA aspects of the research. While the paper has
undergone agency administrative and peer reviews, it
has not been subjected to agency policy review and therefore
does not necessarily reflect the views of the agency;
no official endorsement should be inferred.
MSW
- November/December 2002
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