M.
Tesar
*,
R.
Prantl
and
P.
Lechner
Department of Water, Atmosphere and Environment, Institute of Waste Management, University of Natural Resources and Applied Life Sciences Vienna, Muthgasse 107, Vienna, Austria. E-mail: maria.tesar@boku.ac.at; Fax: +43 1 3189900 350; Tel: +43 1 3189900 316
First published on 7th December 2006
Disposal of untreated municipal solid waste leads to gaseous emissions as well as liquid degradation products. In situ aeration is an emerging means for remediation of abandoned landfills. It aims at an accelerated mineralization and stabilization of waste organic matter and thus reduces significantly the emission potential of the site. In order to prove the success of the technique, evaluation of the biological stability of the aerated material has been suggested. Fourier Transform Infrared Spectroscopy (FT-IR) provides comprehensive information on the chemical composition of solid waste samples. Different stages of organic matter degradation are reflected by changes in the infrared spectral pattern. In the present study the feasibility of applying FT-IR for assessment of the stability of waste material derived from abandoned landfills and for in situ aeration process control was investigated. Waste samples derived in the course of pilot-scale and lab-scale aeration experiments were characterized by FT-IR (4000–400 cm−1, KBr-technique, transmission mode) and a set of conventional parameters describing biological stability. The occurrence of distinct indicator bands was correlated with chemical and biological waste properties using 206 solid waste samples. Visual spectra interpretation was found to be appropriate in proving a reduced emission potential of initially rather reactive waste (respiration activity over 4 days (RA4) > 7 mg O2 g−1 DM) during aeration. Furthermore, cluster analysis was applied successfully to differentiate between original and aerated waste samples, even for rather stable material (RA4 < 7 mg O2 g−1 DM), when visual spectra interpretation was limited.
For old landfills, where untreated MSW has been disposed of, aerobic in situ stabilization of the waste is an emerging means of site remediation, aiming at sustainably reduced emissions.2 The technology is based on the supplementation of ambient air under low excess pressure into the landfill body and simultaneous collection and treatment of the exhaust gas. Adjustment of aerobic conditions leads to accelerated mineralization and stabilization of waste organic matter, thus reducing the remaining emission potential. A shift of gaseous C-emissions from methane to carbon dioxide occurs and the leachate load of ammonium and organic compounds (i.e. indicated by the chemical oxygen demand, COD) declines to environmentally sound levels within several years, compared to at least 30 to hundreds of years, estimated for leachate of landfills where untreated MSW has been disposed of. Currently, control of the degradation process is accomplished by monitoring landfill gas composition, temperature in and settlement of the landfill body. Furthermore, leachate properties such as the concentrations of NH4-N, biological oxygen demand BOD5, COD or AOX are determined. When in situ aeration is applied for remediation of abandoned sites usually no leachate is available for analysis. Furthermore, the decomposition process in the landfill may be inhibited due to, for example, toxic conditions or extreme dryness, thus determination of landfill temperature or settlement might be misinterpreted. Therefore, monitoring of the biological stability of the aerated waste, which is supposed to correlate with the remaining emission potential, is suggested. In this paper biological stability refers to a stage of decomposition when biological activity and turnover rates have reached a low level.
For assessment of stability of MSW several chemical, physical and biological parameters are currently employed. Sum parameters, such as total organic carbon (TOC) or loss on ignition (LOI), however, do not necessarily characterize waste stability, due to the presence of inert plastics etc. Laboratory leachate (prepared according to EN 12457) provides more information on mobile nitrogen and carbon fractions: low concentration levels of N and C (the Austrian landfill ordinance for example stipulates acceptance criteria at landfills for non hazardous waste of 300 mg kg−1 DM for NH4–N and 500 mg kg−1 DM for TOC) indicate, in general, low reactivity.3,4 Nevertheless, it has to be taken into account that mineral components are capable of influencing the extraction behavior. Aerobic and anaerobic biological tests reflect the bio-available organic fractions of waste material (i.e. respiration activity, gas generation by incubation test, gas generation by fermentation test, dynamic respiration index). Although the latter provide more accurate information on the emission potential of the waste material, biological tests might suffer from falsification due to unfavorable sample properties, such as toxic components or extreme dryness, inhibiting microbial activity. Furthermore, the realization is laborious and inter-laboratory comparison has shown lower reproducibility than usually obtained for chemical parameters.5
The application of Fourier Transform Infrared (FT-IR) spectroscopy for the characterization of MSW stability provides several advantages. The method sheds light on the solid sample as a whole whilst avoiding chemical extraction. Infrared spectra, resulting from characteristic molecular vibrations, reflect the molecular composition of complex waste material in a general way. Different stages of organic matter degradation are indicated by changes in the infrared spectral pattern. Provision of comprehensive information on degradation, the rapid accomplishment and being less error prone than biological tests, thus, make IR-spectroscopy a promising cost effective and reliable alternative for the determination of the stability of aerated waste material. To date infrared spectroscopy has been widely used to investigate complex environmental samples, such as soil, sewage sludge, compost and mechanically–biologically pretreated MSW. Haberhauer and Gerzabek characterized differences in soil organic matter due to various agricultural activities, land management systems and soil amendments.6 FT-IR in combination with multivariate data analysis has been successfully applied for the prediction of chemical and physical soil properties closely related to the bulk properties of the soil, such as organic matter content, cation exchange capacity, water and clay content from MIR-spectra.7–9 A comparison of NIR and MIR calibration models for quantification of soil carbon of a highly diverse set of soils was carried out by McCarty et al.10 FT-IR spectroscopy has been used to monitor composting processes, to determine compost maturity and to monitor mechanical–biological treatment of MSW.11–16 Identification of unknown landfill material was supported by comparison of IR spectra with a spectra library of pure substances.17
The present study was conducted to investigate whether FT-IR is appropriate for use in assessing biological stability of MSW derived from abandoned landfills in general and in particular for monitoring the success of in situ aeration.
Landfill | Volume/m3 | Average thickness/m | Age of the material/a | Type of waste | Landfill gas composition | Base seal | Landfill cover |
---|---|---|---|---|---|---|---|
M | ∼200![]() |
8–10 | 10–20 | MSW (∼60% m/m) demolition waste (∼40% m/m) | CH4: 60% (v/v) | Deficient mineral layer | 0.2–0.5 m topsoil |
CO2: 40% (v/v) | |||||||
K | ∼220![]() |
8–10 | 10–20 | MSW, bulky waste, demolition waste (variable portions) | CH4: 60% (v/v) | None | Provisional |
CO2: 30% (v/v) | |||||||
N2: 10% (v/v) |
Run | Test mode | Description of test mode | Aeration rate/l h−1 kg−1 DM | Leaching rate/l d−1 kg−1 DM |
---|---|---|---|---|
a Runs A and B were carried out using material from landfill M, run C with material from landfill K. b The aeration rate was adjusted to the O2 concentration in the exhaust gas. | ||||
Aa | — | Anaerobic storing | — | 0.0034 |
+ | Low aeration rate | 0.034 | 0.0034 | |
++ | High aeration rate | 0.068 | 0.0034 | |
+9− | Low aeration rate (9 months)/anaerobic storing | 0.034/— | 0.0034 | |
++9− | High aeration rate (9 months)/anaerobic storing | 0.068/— | 0.0034 | |
Ba | + | Aeration, low leaching rate | 0.081 | 0.0017 |
+w | Aeration, high leaching rate | 0.081 | 0.0069 | |
— | Anaerobic storing, low leaching rate | — | 0.0017 | |
−w | Anaerobic storing, high leaching rate | — | 0.0069 | |
Ca | + | Aeration | 0.037–0.002b | 0.0031 |
![]() | ||
Fig. 1 Representative spectra of waste material derived from the landfills M and K, fresh MSW and soil. |
Solid samples | Laboratory leachates | |||||||||
---|---|---|---|---|---|---|---|---|---|---|
TIC/g kg−1 DMf | TOC/g kg−1 DM | Nt/g kg−1 DM | RA4/mg O2 g−1 DM | GS21/Nlg kg−1 DM | eC/μS cm−1 | pH | NH4-N/mg kg−1 DM | COD/mg O2 kg−1 DM | BOD5/mg O2 kg−1 DM | |
a Number of composite samples analyzed. b Standard deviation. c Median. d Minimum value. e Maximum value. f Dry matter. g Norm litre. | ||||||||||
n a | 45 | 45 | 45 | 43 | 10 | 45 | 45 | 45 | 45 | 45 |
Mean | 40.6 | 80.1 | 5.1 | 3.6 | 6.2 | 1660 | 8.5 | 900 | 6211 | 2739 |
SDb | 5.8 | 23.0 | 1.4 | 1.9 | 3.7 | 534 | 0.3 | 384 | 3249 | 1747 |
MEDc | 40.0 | 79.0 | 5.0 | 3.6 | 6.0 | 1660 | 8.5 | 835 | 6620 | 2470 |
MINd | 29.8 | 14.0 | 1.4 | 0.8 | 0.1 | 524 | 8.1 | 244 | 860 | 350 |
MAXe | 53.0 | 120.0 | 8.0 | 11.8 | 13.5 | 3130 | 9.1 | 1756 | 16 560 | 7620 |
In contrast to the materials mentioned above, bands at wavenumbers of 2925, 2850 and 1630 cm−1 were the only bands assigned to functional groups of organic molecules, occurring in the spectra of all composite samples drawn from the investigated landfills to a remarkable degree. The bands at 2925 and 2850 cm−1 are assigned to C–H stretching vibrations of aliphatic methylene groups constituting the skeleton of organic molecules.23 The latter unfailingly occur in spectra of MSW samples. Intensities have been reported to decrease to a constant level during all biochemical decomposition processes.15,17 The band at ∼1630 cm−1 is attributed to CC stretching vibrations of alkenes and aromatic rings and to C
O stretching vibrations of carboxylates and amides.21,22,24 The intensity of the band has been reported to show a divergent evolution in the course of decomposition processes due to organic matter degradation and synthesis of biomass.10 Furthermore, the accumulation of aromatic compounds in the course of progressing decomposition has been reported to be reflected by the relative increase of the band compared to aliphatic methylene bands.12 However, OH-bending vibrations from water adsorbed to functional groups of the organic matter at 1635 cm−1 can overlap vibrations from these groups. Bands of protein-originated functional groups at 1570–1540 cm−1 (Amide II) and ∼1320 cm−1 (aromatic primary and secondary amines) frequently reported in FT-IR spectra of fresh MSW, sewage sludge and organic soil layers12,15,20 occurred at a visible level in the spectra of the material derived from landfill K and a few particularly reactive samples of landfill M. Bands at 1260–1240 cm−1 (C–O stretching vibrations of carboxylic acids, C–N stretching vibration of amides21 developed at the most as a slight shoulder in the spectra of the investigated waste material. Further bands, such as those at ∼1730 cm−1 (C
O vibrations of aldehydes, ketones and carboxylic acids) indicating the presence of early decomposition products and thus occurring in rather fresh MSW, as well as at ∼1510 cm−1 (aromatic C
C vibrations) stemming from waste components containing lignin22,25,26 were rather weak. Table 4 gives an overview about relevant bands, associated functional groups and their occurrence in fresh MSW and waste material from abandoned landfills.
Wavenumber/cm−1 | Vibration | Functional group or compound |
Waste from abandoned landfills
Occurrence |
Fresh MSW
Occurrence |
---|---|---|---|---|
a Bold letters: bands disappearing in the course of successful aeration, bold italics: bands diminishing in the course of successful aeration. | ||||
2925 | C–H | Aliphatic methylene | + | + |
2850 | C–H | Aliphatic methylene | + | + |
1740–1720 | C![]() |
Aldehyde, ketone, carboxylic acids, esters | — | ± |
1630 |
C![]() |
Amide I, carboxylates | + | + |
C![]() |
Aromatic ring modes, alkenes | |||
1570–1540 | N–H | Amide II | ± | + |
1515–1505 | Aromatic | Lignin | ± | |
1320 | C–N | Aromatic primary and secondary amines | ± | + |
1260–1240 | C–O | Carboxylic acids | ± | + |
C–N | Amide III |
![]() | ||
Fig. 2 Mean (for properties approx. normally distributed) and median (for properties not normally distributed) values, resp., 25–75%…interquartile range, Min–Max…Range, yes…presence of the band at 1260–1240 cm−1 (n = 85), no…absence of the band at 1260–1240 cm−1 (n = 84). |
The properties of samples differing in the occurrence of the band at ∼1540 cm−1 are given in Table 5. Although the mean values of COD, BOD5 and NH4-N were proven to be significantly different (t-test, p < 0.01) there was a substantial overlap between the two groups. However, for RA4 the minimum value observed within the sample where the band occurred (n = 8) was 7.5 mg O2 g−1 DM. Waste samples (n = 155) without the band showed a maximum value for RA4 of 8.8 mg O2 g−1 DM. Austrian and German regulations, i.e., set targets for RA4 of 7 mg O2 kg−1 DM for acceptance at landfills for non-hazardous waste.4 Thus screening FT-IR spectra for occurrence of this band might be applied as a means of roughly discriminating between the ability of waste material to comply with this criteria, respectively. However, it should be kept in mind that respiration activity determined for MBT-material has a different significance regarding the gaseous emission potential than for anaerobically stored MSW of old landfills.27
Parameter | Band at ∼1540 cm−1 | n | Mean | SDa | MEDb | MINc | MAXd |
---|---|---|---|---|---|---|---|
a Standard deviation. b Median. c Minimum value. d Maximum value. | |||||||
RA4/mg O2 g−1 DM | Presence | 8 | 8.9 | 1.46 | 8.4 | 7.5 | 11.8 |
Absence | 155 | 2.7 | 1.38 | 2.6 | 0.2 | 8.8 | |
COD/mg O2 kg−1 DM | Presence | 8 | 16![]() |
10![]() |
16![]() |
5460 | 34![]() |
Absence | 155 | 5871 | 4576 | 4890 | 150 | 31![]() |
|
BOD5/mg O2 kg−1 DM | Presence | 8 | 4356 | 2311 | 4050 | 1740 | 7620 |
Absence | 155 | 1439 | 1342 | 1000 | 30 | 5610 | |
NH4-N/mg kg−1 DM | Presence | 8 | 1360 | 482 | 1335 | 697 | 1996 |
Absence | 155 | 798 | 429 | 772 | 5 | 3032 |
However, application of cluster analysis allowed discrimination between “original” waste samples and “stabilized” ones, although IR-spectra were not distinguishable visibly (1260–1240, ∼1540 and 1320 cm−1, see above). To establish a model, samples drawn at landfill M prior to in situ aeration (only composite samples derived from the part of the landfill where in situ aeration was conducted, n = 18, indicated by II) and waste samples collected in the course of the lab-scale aeration experiments A and B (n = 17, see Table 6) were used as “original” and “stabilized” reference samples, respectively. Three spectral windows (3000–2800, 1790–1530 and 1350–1200 cm−1), including the indicator bands mentioned above, were selected for the calculation. Vector normalized 2nd derivative spectra, Ward’s algorithm and Euclidean distance led to the result reported in Fig. 3. This dendrogram illustrates how samples stored anaerobically or drawn at an early stage of low rate aeration (0.034 l air h−1 kg−1 DM) were divided from those obtained after further aeration within the group of “stabilized” samples. The first subgroup of waste samples—having received a load of less than 0.1 m3 air kg−1 DM—is indicated by III, the second (having received a load of more than 0.1 m3 air kg−1 DM) is indicated by IV. Fig. 4 and Fig. 5 show a comparison of chemical and biological properties of the two main groups (“original” and “stabilized”) distinguished (left hand side). Differences in the considered parameters were deemed significant at the p < 0.001 level (t-test). Further samples drawn in the course of the in situ aeration experiment (n = 101) were tested using the model. Sixty five samples were assigned to the group of “original” samples, 34 to the group of “stabilized” ones. Descriptive statistics of these test sets are presented in Fig. 4 and Fig. 5 (right hand side). Differences between the two groups proved to be significant (BOD5: p < 0.01, remaining parameters: p < 0.001, t-test). The parameters TOC, RA4, eC, NH4–N and COD showed a similar level and distribution in the group of “original” waste samples, both in the reference and the test set. The mean value of BOD5, however, was significantly lower in the test set classified as “original” (1310 mg O2 kg−1 DM) than in the group of “original” reference samples (3100 mg O2 kg−1 DM). Since all waste samples in the test set were obtained after the beginning of the in situ aeration experiment, this finding indicates that the content of bio-available compounds in the laboratory leachate was significantly reduced at an early stage of the in situ aeration before actual stabilization (confirmed i.e. by RA4) had occurred. The observed differences between the mean values (Fig. 4 and 5) of “stabilized” samples of the reference set and “stabilized” samples of the test set can be explained by the heterogeneity of the two sets. This stresses the importance of obtaining reference samples representative of the material to be tested. However, with regard to this specific investigation the latter was not achieved, since in the course of the lab-scale experiments, forming the reference set, a higher degree of stabilization was reached than in the course of the in situ aeration experiment over a period of 2.5 years (test set).
![]() | ||
Fig. 3 Cluster analysis of “original” waste samples (II) and more (IV) or less (III) “stabilized” ones obtained in the course of the lab-scale aeration experiments, Spectral region…3000–2800, 1790–1530, 1350–1200 cm−1, vector normalization, 2nd derivative spectra, Ward’s algorithm. |
![]() | ||
Fig. 4 Comparison of the properties (TOC, RA4, eC) of the two groups of reference waste samples (left hand side: “original”, n = 18, “stabilized”, n = 17) distinguished applying cluster analysis and waste samples derived from the in situ aeration experiment classified by the model (right hand side: “original”, n = 65, “stabilized”, n = 36), astandard error, bstandard deviation. |
![]() | ||
Fig. 5 Comparison of the properties (NH4-N, COD, BOD5) of the two groups of reference waste samples (left hand side: “original”, n = 18, “stabilized”, n = 17) distinguished applying cluster analysis and waste samples derived from the in situ aeration experiment classified by the model (right hand side: “original”, n = 65, “stabilized”, n = 36), astandard error, bstandard deviation. |
Sample |
Air/solid
/m3 kg−1 DM |
Liquid/solid
/l kg−1 DM |
Discharge via gasb
∑CO2–C, CH4–C/g kg−1 DM |
Discharge via leachateb | Leachate concentrationb | ||
---|---|---|---|---|---|---|---|
COD/mg O2 kg−1 DM | NH4-N/mg kg−1 DM | COD/mg O2 l−1 | NH4-N/mg l−1 | ||||
a The first part of the sample name refers to the amount of aeration (III ≤ 0.1 m3 kg−1 DM, IV > 0.1 m3 kg−1 DM), the middle part to the test mode of the particular run and the number at the final position indicates the duration (months) of aeration of anaerobic storing. b At the time of sampling. | |||||||
III_A–9a | 0.00 | 1.00 | 2.28 | 1992 | 763 | 843 | 282.0 |
III_A–17 | 0.00 | 2.03 | 2.76 | 2352 | 1082 | 189 | 229.0 |
III_A+2 | 0.05 | 0.20 | 3.72 | 293 | 29 | 336 | 2.8 |
III_A+4 | 0.10 | 0.35 | 5.58 | 312 | 29 | 300 | <0.1 |
IV_A+7 | 0.17 | 0.63 | 7.70 | 248 | 29 | 436 | <0.1 |
IV_A+9 | 0.22 | 0.84 | 9.22 | 294 | 29 | 114 | 0.3 |
IV_A+17 | 0.87 | 1.59 | 14.61 | 523 | 69 | 129 | 0.2 |
IV_A+9–8 | 0.22 | 1.79 | 9.51 | 459 | 60 | 193 | 31.6 |
IV_A++2 | 0.11 | 0.20 | 4.13 | 109 | 15 | 339 | 0.8 |
IV_A++4 | 0.19 | 0.36 | 5.69 | 171 | 15 | 361 | <0.1 |
IV_A++7 | 0.32 | 0.60 | 9.50 | 181 | 15 | 139 | <0.1 |
IV_A++9 | 0.46 | 0.79 | 11.62 | 231 | 15 | 138 | 1.9 |
IV_A++9–8 | 0.46 | 1.65 | 11.90 | 328 | 37 | 156 | 36.9 |
IV_B+12 | 0.64 | 0.74 | 15.21 | 516 | 102 | 127 | <0.1 |
IV_B+w12 | 0.64 | 2.67 | 19.01 | 997 | 165 | 27 | <0.1 |
III_B–12 | 0.00 | 0.74 | 2.69 | 1123 | 531 | 338 | 554.0 |
III_B–w12 | 0.00 | 2.59 | 3.82 | 2098 | 1130 | 9 | 165.0 |
Besides analysis of the occurrence of distinct indicator bands, constant heights of aliphatic methylene bands over time have been proposed by several authors to prove stabilization during biological treatment processes (MBT, composting).14,31 In the course of in situ aeration a decrease of the intensities of aliphatic methylene bands (at 2925 and 2850 cm−1) was also observed. However, proving the success of site remediation by repeated sampling would seem to be rather inappropriate, since sampling of (abandoned) landfills is much more complex and expensive than sampling at waste treatment plants.
In the case of particularly reactive waste material, visual spectra interpretation (similar to suggestions for process control of mechanical–biological waste treatment) was found to be appropriate for use in monitoring the success of in situ aeration (occurrence of bands at 1260–1240, ∼1540 and 1320 cm−1). However, the indicators proposed for sufficiently stabilized MBT-material can not be transferred directly to demonstrate a low-emission state of samples derived from old landfills.
For rather stable material, which does not exhibit the relevant indicator bands, this approach is limited. However, multivariate data analysis was successfully applied to discriminate between such rather stable material obtained prior to and after in situ aeration. In order to utilize the comprehensive information of the IR-spectra, lab-scale simulation experiments could be performed using samples with a well known emission behaviour to establish models for subsequent use in testing waste samples taken during in situ aeration.
The tentative correlation between IR-spectral features and biological/chemical properties and the corresponding emission potential of waste from abandoned landfills elaborated in this study is based on the analysis of material derived from two sites. In order to develop generally valid spectral criteria to be used for process control of in situ aeration and assessment of the emission potential of abandoned landfills an extended analysis of waste samples from further sites is necessary. Furthermore, additional efforts should be undertaken on appropriate sampling plans for proper assessment of the emission potential of a site based on FT-IR analysis of solid waste samples, in particular consideration of the spatial heterogeneity of abandoned landfills.
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