GEOPHYSICAL RESEARCH LETTERS, VOL. 28, NO. 21, PAGES 4075-4078, NOVEMBER 1, 2001 Spectral dependence of visible light absorption by carbonaceous particles emitted from coal combustion Tami C. Bond Pacific Marine Environmental Laboratory, NOAA, Seattle, Washington Abstract. Optical characteristics of particles that absorb visible light are needed to model their effects on atmospheric radiation. Light absorption by particles emitted from lowtechnology coal combustion has exhibited a strong spectral dependence. I investigate various explanations for this phenomenon and conclude that a spectrally dependent imaginary refractive index is the most plausible. Following previous work on the structure of amorphous carbon, I propose that both the magnitude and spectral dependence of light absorption are controlled by the size of graphitic clusters within the material, and can be described using the optical band-gap theory. This hypothesis is an alternative to the current measurement divisions of light-absorbing “black carbon” and non-absorbing “organic carbon,” and offers an explanation for preferential absorption at blue wavelengths that may extend to ultraviolet wavelengths. 1. Introduction Particles that absorb visible light—often called “black carbon” or BC—are emitted from the incomplete combustion of carbon-based fuels. These particles affect the radiative balance of the Earth by absorbing solar radiation, warming the atmosphere, and cooling the surface. Climatic effects of BC have been assessed using simulations of transport, chemistry, and radiation [Haywood and Ramaswamy, 1998; Myhre et al., 1998; Penner et al., 1998; Jacobson, 2001]. Uncertainties in optical properties affect the accuracy of such models. Modelers have simulated the spectral dependence of light absorption by using spectrally dependent imaginary refractive indices [Penner et al., 1998] or by identifying compounds that absorb ultraviolet (UV) light [Jacobson, 1999]. However, light absorption by atmospheric particles is often measured at a single wavelength [e.g., Malm et al., 1994; Martins et al., 1998; Anderson et al., 1999]. To extrapolate the measurement to other wavelengths, the spectral dependence of absorption is sometimes represented as a power-law relationship using an “Ångstrom exponent” (åap ) similar to that used for extinction: αap = Kλ−åap (1) Here, αap is the absorption efficiency of the particles (m2 g−1 ), K is a constant, λ is the wavelength of light, and the subscript ap indicates absorption by particles. For “small” spherical particles with wavelength-independent refractive index, åap = 1.0 [van de Hulst, 1957]. When absorption is stronger at shorter wavelengths, the particles appear yellow, and åap is greater than 1.0. I do not defend the power-law relationship here, but use it to parallel previous treatments. 2. Observations Rosen et al. [1979] measured åap = 1.0 in an urban environment, a value that is often assumed in other situations. However, Patterson and McMahon [1984] reported stronger spectral dependence for particles from smoldering combustion. Millikan [1961] found a range of åap (0.6–1.8) depending linearly on hydrogen content for flame-generated particles. Bond et al. [1999a] reported values of åap between 1.7 and 2.5 for industrial combustion of lignite. Absorption by biomass-burning particles at UV wavelengths allows detection by the Total Ozone Mapping Spectrometer (TOMS) [Herman et al., 1997]. Elsewhere, we have reported details of emission measurements from domestic combustion of bituminous coal [Bond et al., 2001]. This type of combustion contributes heavily to the budget of BC in some regions—nearly 50% of the emissions in China [Streets et al., 2001]. Briefly, particles were collected on Nuclepore filters (0.2 µm pore size) to measure mass and light absorption by integrating plate (435, 525, 660, 800 nm). Light scattering was measured at 550 nm, and particle size distributions showed number maxima around 100 nm diameter. Some samples encompassed all burning phases (heating, flaming, and solid-phase), while other samples isolated specific burning conditions (choked or naturaldraft combustion). Samples from this experiment showed a strong spectral dependence of absorption (1.0 < åap < 2.9) and an inverse correlation between åap and absorption efficiency. In the following discussion, I seek to explain the light-absorbing characteristics of these particles. 3. Possible Causes As stated earlier, assuming small spherical particles with constant refractive index predicts a value of åap = 1.0. Several departures from assumptions could explain the higher values of åap observed in the coal emissions: (1) Artifacts resulting from filter analysis are spectrally dependent. (2) The particles are not “small” relative to the wavelength of light. (3) The particles are not spheres, but aggregates of spherules or coated spheres. (4) The refractive index of the particles has a spectral dependence resulting from the molecular composition. Below, I examine each of these hypotheses in turn. Copyright 2001 by the American Geophysical Union. 3.1. Measurement Artifacts Paper number 2001GL013652. 0094-8276/01/2001GL013652$05.00 Filter-based measurements of light absorption respond to non-absorbing particles (the “scattering artifact”) 4075 4076 BOND: LIGHT ABSORPTION BY CARBONACEOUS PARTICLES 0.0 Imaginary refractive index, k 1.2 1.0 0.5 0.1 0.0 1.2 1.5 1.2 1.0 1.5 0.5 0.5 0.01 1.2 1.2 1.5 1.5 1.2 1.0 1.2 1.0 0.001 10 100 1000 Diameter (nm) Figure 1. Values of light absorption exponent, åap , estimated by Mie calculations with real refractive index 1.55 for lognormal size distribution with count median diameter as shown and geometric standard deviation of 1.5. [e.g., Horvath, 1997]. Spectral dependence in either the scattering artifact or the light scattering could affect the apparent spectral dependence of absorption. In a laboratory calibration of the integrating plate, the scattering artifact was estimated at 550 nm [Bond et al., 1999b]. Unpublished data from that experiment include measured scattering and absorption by non-absorbing particles at multiple wavelengths. Based on these data, I found that the scattering artifact at 450 and 700 nm does not differ significantly from the artifact at 550 nm (9% ± 3% of scattering measured as absorption). For each coal sample, I estimated light scattering at each wavelength by applying Mie theory to the measured size distributions. Adjusting the absorption with the wavelengthdependent scattering correction changed åap by only 1–6%. I conclude that the high values of åap do not result from filter artifacts. 3.2. Particle Size The condition that particles must be small relative to the wavelength of light is given by (2πr|m|/λ 1) [van de Hulst, 1957], where r is the particle radius and m = n − ik is the complex index of refraction. This criterion depends upon the value of |m| as well as the particle size. Figure 1 shows values of åap derived from Mie calculations for wavelengths between 450 and 550 nm, for a range of particle sizes and spectrally independent imaginary refractive indices (k). The figure shows that åap = 1 for a wide range of particle sizes and k, and that the value of åap decreases as particles become larger. The value of åap exceeds 1.0 for a narrow range of particle sizes when k < 0.1, and it is greater than 2.0 only when k < 0.0004. The values of k that correspond to high åap are much lower than any typically assumed for black carbon. For the measured particle size distributions and a refractive index of 1.55–0.5i, the theoretical value of åap varies from 0.2 to 1.2, with smaller values associated with larger particles. 3.3. Morphology BC particles often consist of aggregated spherules around 10 nm in diameter, and Mie calculations that assume spherical particles may not be applicable. However, light absorption by aggregates is the sum of the absorption by the component spherules, as long as the fractal dimension is below 2.0 [e.g., Nelson, 1989]; that is, each spherule acts alone if there is no shadowing. The limiting cases are the sum of the component spherules (open particle) and the solid sphere (closed particle), with realistic particles probably ly- ing between these cases. Neither case will produce values of åap higher than those in Figure 1, although the relationship between size and åap may not be exactly as shown. I therefore argue that the optics of aggregates cannot explain the high values of åap . Martins et al. [1998] showed a strong spectral dependence of absorption by BC inclusions with nonabsorbing coatings, and suggested that this spectral dependence could indicate the size and BC content of particles. Since smaller BC inclusions are associated with lower bulk absorption efficiencies, the optics of coated spheres might explain the inverse correlation between αap and åap . However, I found that the values of åap I obtained from the coated-sphere calculation program with the parameters used by Martins et al. [1998] were all below 1.65. Spectral dependence and absorption efficiency were strongly correlated for only a narrow range of particle sizes (200–300 nm diameter). For larger particles, the absorption efficiency is fairly constant, and for smaller particles, åap is fairly constant. For size distributions similar to those of bituminous-coal emissions, I could reproduce neither the range nor the magnitude ofåap using the coatedsphere program. 3.4. Molecular Structure I hypothesize that the variation in light-absorbing properties results from the molecular form of the organic components. Jacobson [1999] suggested that aromatic hydrocarbons were responsible for UV absorption. I propose that a broader theory, currently employed by amorphous-carbon researchers, describes the absorption characteristics of some atmospheric particles. While the measurements presented here are limited to visible wavelengths, the theory may encompass UV absorption by carbonaceous compounds. Tauc et al. [1966] related the absorption behavior of germanium to the optical gap, the energy required for an electronic transition between the highest ground state and the lowest excited state. He derived a relationship between the absorption coefficient α and the optical gap Eg : √ αE = B(E − Eg ) (2) where E is the energy of incident radiation and B is a constant. According to this relationship, the value of Eg affects both the absorption efficiency and the spectral dependence. The power-law dependence on wavelength only approximates the spectral dependence over a limited band. It is generally accepted that light absorption by aromatic compounds shifts toward longer wavelengths as the 7 Actual αap (m2 g-1 , 525 nm) 1 6 5 4 3 2 1 0 0 1 2 3 Predicted Figure 2. Measured absorption efficiency compared with predicted relative absorption (arbitrary units). Optical gap was estimated based on spectral dependence and used to predict absorption in Equation 2. BOND: LIGHT ABSORPTION BY CARBONACEOUS PARTICLES graphitic cluster size grows [Clar, 1964]. Robertson and O’Reilly [1987] use optical-gap theory to explain that trend for carbonaceous material. They describe amorphous carbon as islands of sp2 -bonded (graphitic) clusters that control the optical gap and hence the light-absorbing properties, surrounded by bands of sp3 -bonded (diamond-like) carbon. Chhowalla et al. [2000] show that absorption materials with the same overall content of sp2 -bonded carbon can vary when cluster sizes differ. The optical gap is inversely proportional to the diameter of a circular cluster or to the square root of the number of aromatic rings in a cluster [Ferrari and Robertson, 2000]. Optical-gap theory is also relevant to flame-generated carbon [Minutolo et al., 1996]; in fact, the linear relationship between hydrogen content and åap over the range observed by Millikan [1961] could be explained if H content varied with cluster diameter, and C content varied with cluster area. Compounds emitted from coal combustion may also contain a continuum of sp2 cluster sizes that govern the lightabsorbing properties. One end of the range is pure coal tar, containing compounds with only a few adjacent aromatic rings [Watt et al., 1996]. Thermal processing of the tar results in progressing degrees of graphitization, or an increase in the cluster size [Marchand, 1997]. The other extreme is complete graphitization, or infinite cluster sizes. Following other researchers, I predict Eg for the coal samples using the spectral dependence of absorption. The absorption efficiency αap is a surrogate for the absorption coefficient α, since both are proportional to k/λ for small particles. I normalized both Equation (2) and the measured absorption to a single wavelength, thereby removing the effect of the constant B, and then determined a value of Eg using a least-squares fit to the data. This prediction of Eg results from the spectral dependence, and not from the absolute magnitude of the absorption. The largest optical gap in the coal-combustion samples is 1.0 eV. This value of Eg corresponds to a cluster size of about 35 aromatic rings [Robertson, 1991]. Coalcomposition correlations [Genetti et al., 1999] indicate that the average cluster size in the raw coal is about 8 rings. For the highest-absorbing samples, the fit estimates Eg ≈ 0, with a few (unphysical) negative values. Next, I used the predicted values of Eg for each sample to predict absorption efficiency according to Equation 2. Figure 2 shows the comparison with measured absorption efficiency, with all values relative to the constant value of B. With the exception of one outlier, 87% of the variability in absorption can be explained by changes in the optical gap. The optical-gap theory explains the concomitant variation of absorption efficiency and spectral dependence, as well as the high values of åap . If it is applicable, the light-absorbing properties of these samples primarily depend upon the size of the graphitic clusters. Since most of the material participates in light absorption, the samples cannot be readily divided into highly absorbing and non-absorbing components. That division might be useful when purely black particles (e.g., from diesel engines) are responsible for the absorption. It is less likely to represent reality in areas where light-absorbing particles come from low-temperature coal combustion. What fraction of coal-burning emissions could consist of weakly absorbing, yellowish material? The answer depends on burning conditions, especially the temperature. Tarry 4077 material is often ejected just after fuel addition, when coal tar devolatilizes from the solid matrix and the combustor is not hot enough to either oxidize or graphitize the particles. I isolated this tarry component in one experiment. About 4.8 grams of “yellow” particles with åap = 2.5 escaped during the first 6 minutes after fuel addition. Burning the remainder of the coal required 1.5 hours, during which 8.5 grams of “black” particles with åap = 1.1 were emitted. If the tarry and black samples were collected on the same filter, as is usually done in this type of source testing, the average value ofåap would be 1.3. The overall spectral dependence of absorption is most influenced by the highly absorbing black particles. 4. Implications The component of carbonaceous particles that absorbs visible light is typically called “black carbon.” “Lightabsorbing carbon” may be a better term for this material, which does not always appear black. Some of the implications of the presence of weakly absorbing, yellowish material in the atmosphere are listed below. Measurement at Single Wavelengths. Absorption is often measured at a single wavelength and extrapolated across the solar spectrum by assuming a value of åap . The value of åap obviously affects this extrapolation. If the single measurement is taken at wavelengths greater than 500 nm, total absorption is underestimated if the value of åap is too low, and the error is higher for longer wavelengths. For example, the assumptions åap = 1.0 and åap = 1.5, combined with absorption measured at 550 nm, result in a difference of only 2% in absorption integrated across the solar spectrum. The same calculations differ by 8% when they are based on absorption at 632 nm. Chemical Nature. If yellowish carbon contains a higher fraction of sp3 -bonded carbon, its chemical transformation in the atmosphere and hygroscopic-growth behavior are likely to differ from those of “black” carbon. Since “yellow” and “black” particles result from different combustion conditions, these particles are probably externally mixed when emitted. Thermal Measurements. The “thermal-optical” measurement of “elemental carbon” or EC [e.g., Chow et al., 1993] is widely used to characterize atmospheric and source samples. This technique corrects for charring of “organic” carbon by monitoring sample transmittance. Reported EC is carbon evolved after the transmittance returns to its initial value. It is acknowledged that EC is an operational definition, equivalent to the mass of refractory carbon with the same absorption properties as the original sample. For correction at the standard 632-nm wavelength, the reported EC would absorb less light (integrated across the solar spectrum) than an original sample with a strong wavelength dependence. Cody [1984] finds that higher temperatures reduce semiconductor optical gaps, increasing absorption. In the thermaloptical method, the sample returns to the original transmittance at a temperature above ambient. Models of optical properties [e.g., Lee and Tien, 1981] predict that absorption at 300◦ C is greater than that at 25◦ C. The difference is only 1% at 632 nm, but 12% at 550 nm. These predictions should be confirmed to ensure that optical correction does not systematically bias EC measurements. Expanded Measurements. Current characterization of carbonaceous particles identifies individual compounds or 4078 BOND: LIGHT ABSORPTION BY CARBONACEOUS PARTICLES functional groups, but not the compounds or structures that control light absorption. Assessing characteristics relevant to light absorption may require techniques that probe the cluster size. These methods, including 13 C nuclear magnetic resonance (NMR) or Raman spectroscopy [Akhter et al., 1985], can require large sample masses and have not yet been quantitatively applied to atmospheric samples. 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Bond, Pacific Marine Environmental Laboratory, NOAA, 7600 Sand Point Way NE, Seattle, WA 98115-6349 ([email protected]) (Received June 14, 2001; revised August 1, 2001; accepted August 3, 2001.)
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