Next Article in Journal
Examination of the Blank Error on Mirror Accuracy of Lightweight SiC Mirror and a Compensation Method
Previous Article in Journal
Resolution and Contrast Enhancement for Lensless Digital Holographic Microscopy and Its Application in Biomedicine
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Optical Properties of Black Carbon Aerosols with Different Coating Models

School of Aeronautic Science and Engineering, Beihang University, Beijing 100191, China
*
Author to whom correspondence should be addressed.
Photonics 2022, 9(5), 359; https://doi.org/10.3390/photonics9050359
Submission received: 27 April 2022 / Revised: 14 May 2022 / Accepted: 17 May 2022 / Published: 19 May 2022

Abstract

:
Research on the optical properties of black carbon (BC) aerosols is highly important for investigating global climate change. A general inhomogeneous particle superposition model is developed. Inhomogeneous particles with arbitrary shapes can be constructed by this model. BC aerosols with core-shell, spherical, ellipsoid, and irregular coating models are established to explore the impact of coating shape on their optical properties. The optical properties are studied employing the discrete dipole approximation method (DDA). The influences of the morphology of BC aerosols, the coating volume fractions, and the shape of coatings on the optical properties are analyzed. The irregular coating shape causes a higher forward scattering intensity and a lower extinction cross-section. The forward scattering intensity of the core-shell model is lower than other models. The effect of the coating shape on forward scattering intensity becomes smaller as coating volume and fractal dimension increase. Consequently, assuming irregular coating as spherical coating models considered in most studies leads to inaccuracy in the optical properties of BC aerosols. It is necessary to comprehensively consider the effects of aerosol morphology and coating volume for investigating the optical properties of black carbon aerosols.

1. Introduction

Black carbon (BC, also known as light-absorbing carbon or soot) aerosols, generated by incomplete combustion of biomass, biofuel, and fossil fuel, are the most important component of atmospheric aerosols [1]. Black carbon aerosols have an important influence on global climate change because of their strong absorption of solar radiation [2]. After the emission of carbon dioxide, Black carbon emission is the second-largest contributor to global warming [3]. In terms of the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC), significant challenges remain in accurately estimating the radiative forcing of aerosols and clouds [4]. Therefore, research on the optical properties of BC aerosols is highly important for investigating global climate change.
BC aerosol particles have fractal morphological characteristics and become heterogeneous during aging processing [5,6]. According to transmission electron microscopy (TEM) and scanning electron microscopy (SEM) figures, newly generated BC aerosol particles exist in the morphology of aggregates composed of small spheres [7]. Observations show that, during the aging process, BC aerosols always mix with other materials, for example, sulfate, water droplets, organics, dust, nitrate, and sea salt, by mutually wrapping, coating, and embedding [8,9]. Meanwhile, fresh black carbon aerosols with loose structures become compact after mixing [10,11,12]. Both numerical studies and experimental data have shown that coating or hygroscopic growth will greatly enhance the absorption and scattering of BC aerosols [13,14]. The enhancement may cause significant deviations in measurements of environmental black carbon concentrations [15] and brings uncertainties to the estimation of the radiation effect [11].
A lot of research has been done on inhomogeneous aggregates particles. The simplest model is to consider black carbon and non-absorptive materials as a homogenous sphere using the effective medium approximations (EMA) [16,17,18]. Since their optical characteristics can be easily obtained using the core-shell Mie theory, the core-shell model for a shell of weak absorption material coated on BC core is extensively employed [19]. Ackerman et al. [20] calculated the phase function and optical parameters of the concentric spherical core-shell model composed of soot core and sulfate solution shell. However, the above models ignore the fractal change of aggregates, i.e., from loose to compact structures during the aging process. For accuracy to represent the morphology, the model of the aggregate with core-shell monomers was proposed. Yin and Liu [21] combined the superposition T-matrix method with the Maxwell–Garnett (MG) formula of EMA to investigate the effects of the thickness of water coating on radiation characteristics of compact and lacy aggregates with core-shell monomers. Fan et al. [22] calculated the optical parameters of the soot aggregate composed of core-shell monomers by applying the superposition T-matrix method. The influence of water coating and morphology of aggregates was studied. More realistic and complex models are constructed in studies to calculate optical properties. The spherical or irregular coating shapes are added to fractal aggregates. Dong et al. [23] used DDA to compute the radiative characteristics of BC aerosols mixed with sulfate under four states of bare, partly coated and heavily coated soot, as well as soot with inclusion. Liu et al. [24] investigated the effects of the relative distance between centroids of BC aggregate and spherical coating as well as coating volume on their optical properties employing the multiple-sphere T-matrix method (MSTM). Kahnert et al. constructed the core grey shell (CGS) model [25] and the tunable model [26] to simulate the optical parameters and depolarization by BC aggregates with coating, respectively. For simulating different optical properties, the morphological characteristics of the two models are very different. The CGS model is a concentric core-shell sphere with high symmetry, while the tunable model is an irregular geometry with realistic morphology. Recently, Kahnert and Kanngießer [27] developed a new core-grey-shell dimer (CGS2) model to simulate optical parameters and the linear depolarization ratio simultaneously. In addition, the radiative transfer of particles in the medium has been extensively studied. The non-uniform size distribution of particles and dependent scattering affect the radiative properties of the particle-containing medium [28,29,30]. The DDA method considering the dependent scattering effect is applied to calculate the optical properties of BC aerosols in this paper. BC aerosols with non-uniform particle size distribution should be studied in future work.
As mentioned above, simplified black carbon aerosol models can reproduce their optical properties to some extent. However, based on SEM images, the geometries of BC aerosols are generally arbitrary and irregular [9,31], and simplified models cannot represent the sensitivity of optical properties to morphological characteristics of aerosol. Therefore, it is necessary to construct a general model for characterizing different BC aerosol states more realistically in the atmosphere. A general inhomogeneous particle superposition model is developed on the basis of the particle superposition model in this paper. Inhomogeneous particles with arbitrary shapes can be constructed by this model. BC aerosols with core-shell, spherical, ellipsoid, and irregular coating shapes are established. The optical properties are calculated by DDA. The effects of the morphology of BC aerosols, the coating volume fractions, and the shape of coatings on the optical properties are analyzed.

2. Methodology

2.1. The Modeling of Black Carbon (BC) Aerosols

Black carbon aggregates contain many small spherical primary particles (also called monomers). We construct black carbon aggregates on the basis of the particle superposition model. The advantage of the particle superposition model is that it is more convenient to describe and simulate realistic particles or aggregates with fewer modulating parameters [32]. The monomers form fractal aggregates in point-touch to explore the influence of sulfate coating in this paper.
Diffusion Limited Aggregation model (DLA) [33] is used to simulate the aggregation process. The DLA model has been extensively applied to simulate the generation of BC aggregates with fractal structure [34,35,36]. The advantage of this model is that it is simpler and faster than other algorithms [37]. The fractal rules are used to describe the fractal morphology of BC particles as follows [38,39]:
N s = k 0 ( R g a ) D f
in which N s and a are the number and radius of monomers in aggregate, respectively. The fractal prefactor k 0 and fractal dimension D f are key parameters to characterize fractal morphology.
Rg is the radius of gyration [40], given by the following equation:
R g = 1 N S i = 1 N s ( r i r 0 ) 2
in which r i denotes the center position of i th monomer and r 0 represents the mass center position of aggregate.
The average monomer radius of the BC aggregates is usually in the range of 0.01–0.05 μm [41]. Typical morphological parameters are chosen to simulate BC particles [24,35,42]. The k 0 , N s and a are fixed as 1.19, 100 and 15 nm in this paper. As BC ages in the atmosphere, the fractal dimensions of BC aggregates change from 1.8 in the fresh state (loose aggregates) to about 2.8 in the heavily aged state (compact aggregates) [38,43]. The morphological change of bare BC aggregates during the aging process is exhibited in Figure 1.
The particle superposition model we proposed in the previous work can be used to simulate irregular particles with complex geometries. This model was applied to create large irregular particles [44], roughness particles [45], sintered aggregates with necking-ball structures [32], and porous particles [46]. Based on the particle superposition model, we develop the general inhomogeneous particle superposition model. This model is applied to establish BC aerosols with sulfate coatings in this paper.
The size of the sulfate coating is determined by the coating volume fraction, f coating is given by:
f coating = 1 f C = V coating V coating + V B C = N coating N coating + N B C
where f coating is the coating volume fraction, V BC denotes the volume of the BC aggregate, and V coating denotes the volume of coating. Actually, the f coating depends on the ratio of the number of BC dipoles N B C to the sum number of BC dipoles N B C and coating dipoles N c o a t i n g .
Four models of black carbon aerosols with sulfate coatings are illustrated in Figure 2 and Figure 3. The details for constructing the models are described as follows.
  • the core-shell model: The BC aggregate is simplified as a homogeneous sphere core with radius R core = a ( N s ) 1 / 3 , and the spherical coating is assumed to be a concentric shell with radius Rshell.
  • the spherical coating model: First, BC aggregates with the radius of monomer a, and the monomer number N s of are constructed according to Section 2.1. Next, we create the spherical coating with the same center position of aggregates. The radius of spherical coating is Rshell. Finally, we remove the part occupied by BC aggregates in the spherical coating.
  • the ellipsoidal coating model: The establishment process of this model is similar to that of the spherical coating model, except that the shape of coating is ellipsoid. The length of each axis of the ellipsoid is determined by the ratio t which is the ratio of the length of x, y and z in aggregates, i.e., a t : b t : c t = x : y : z = t
  • the irregular coating model: First, BC aggregates which are the same as the aggregates in the spherical and ellipsoidal coating model are generated. Next, we create the overlapping coating aggregates with the same monomer center as BC aggregates. The monomer radius of coating aggregates Re is larger than the radius of BC monomer a. Finally, we remove the part occupied by BC aggregates in the overlapping coating aggregates.
The general inhomogeneous particle superposition model we proposed is flexible and versatile. The inhomogeneous particle superposition model is composed of monomer spheres. We can modulate the number and the radius of monomers, relative positions of the monomers, the center positions, and the size parameter of sulfate coating (Rshell in spherical coating model and core-shell model, t in ellipsoidal coating model and Re in the irregular coating model) to simulate the target aerosols with any arbitrary coating shape and different coating volumes. In addition, the inhomogeneous particle superposition model can be applied to different coating materials by changing the material of each monomer. In this paper, we consider the effects of fractal dimension on optical properties in all models except the core-shell model during the aging process. We assume that the coating has the same center of mass as BC aggregates in the four models.

2.2. Computational Method

The discrete dipole approximation (DDA), an electromagnetic volume integral-based method, is a popular method for computing radiation characteristics of particles with arbitrary geometries and inhomogeneous material [47,48]. DDA was applied for calculating the optical properties using DDSCAT 7.3.0 [49,50,51,52,53] jointly developed by Draine and Flatau from America in this paper.
The parameters that need to be set in DDSCAT include the shape of the particles, the number of dipoles, the complex refractive index, and the radius of a given spherical particle or the volume-equivalent radius Reff of a non-spherical particle.
A target with volume V is described by an array of N dipoles. The volume-equivalent radius R eff is defined as follows [49]:
R e f f = ( 3 N 4 π ) 1 / 3 d
where d denotes the spacing of a cubic lattice.
Considering the practical CPU speed and computer memory, the number of dipoles is limited to N   <   10 6 [50]. In order to calculate the cross-section and scattering phase function accurately, | m | k d < 0.5 is needed:
R e f f < 4.94 λ | m | ( N 10 6 ) 1 / 3
in which m denotes the complex refractive index and k =   2 π / λ denotes the wavenumber. For this reason, this paper ensures |m|kd < 0.1 for each model.
The extinction efficiency factor Qext, absorption efficiency factor Qabs, and scattering efficiency factor Qsca can be computed by DDSCAT 7.3.0, and the corresponding extinction cross-section C ext , absorption cross-section C abs , and scattering cross-section C sca [54] can be obtained by the following equation:
C e x t = Q e x t π R e f f 2
C a b s = Q a b s π R e f f 2
C s c a = Q s c a π R e f f 2
ω denotes the single-scattering albedo is defined as follows [55]:
ω = C sca C ext
The asymmetry parameter g [56,57] depicts the directionality of the scattered energy distribution. It is defined by
g = < cos θ > = 1 4 π 4 π Φ ( θ ) cos θ d Ω
The Mueller matrix P describes the scattering characteristics of the targets, which is related to the Stokes vectors of the incident and scattered radiation. It is defined as:
I s c a = C sca 4 π d 2 P I 0
The conversion between a scattering matrix S given by DDA and a phase matrix [58] is required:
P = 4 π k 2 C sca S
We focus on the Mueller matrix elements P11, −P12/P11, and P22/P11. P11 means normalized phase function, representing the scattering intensity distribution. The Mueller matrix element ratio −P12/P11 denotes the linear polarization degree of scattering light when the incident light is unpolarized light. The P22/P11, a depolarization-related term, represents the non-spherical degree of geometry, and the P22/P11 of a sphere is equal to 1.

3. Results and Discussion

The incident wavelength is set as 550 nm. At this wavelength, the refractive index of BC is m = 1.73 + 0.59 i [24,59]. The refractive index of sulfate coating is chosen as 1.43 + 0i [23,24]. For each BC aerosol model under different circumstances shown in Figure 3, five stochastic realizations of geometry are generated. We average the computational results over the five realizations to reflect their general optical properties.

3.1. Sensitivity Studies of the Numbers of Target Orientations

For evaluating the angular integration more accurately and applying Simpson’s rule, odd numbers of orientation angles should be selected. Considering the computational cost and precision, the optimum numbers of discrete orientations of Euler angles β, Θ and Φ have to be chosen. Sensitivity studies are implemented with the optical properties of BC aggregates with D f = 2.2 and BC aerosols with spherical sulfate coating. The coating volume fraction is assumed as 0.8.
Figure 4, Table 1 and Table 2 show the influence on extinction cross-section Cext, single-scattering albedo ω, and asymmetry parameter g of BC aggregates with different discrete orientation numbers. As shown in Figure 4, Cext, ω, and g of aggregate and BC aerosols with spherical coating are almost constant when the orientation number is greater than 343 ( 7   ×   7   ×   7 ). Observing the calculation results in Table 1 and Table 2, the relative error δ of Cext, ω, and g is close to 0 as the number of directions is greater than 729 ( 9   ×   9   ×   9 ). It is found that averaging over 729 ( N β   ×   N Θ   ×   N Φ = 9   ×   9   ×   9 ) discrete orientations results in enough accuracy for optical properties.
As can be seen from the calculation results in Figure 5, the numbers of discrete orientations have little influence on the phase function P11 for BC aggregates and BC aerosols with spherical coating. The forward scattering overlaps under different numbers of discrete orientations. The backscattering almost coincides when the number of directions is greater than 5 × 5 × 5. The depolarization-related term P22/P11 also almost coincides when the number of directions is greater than 5 × 5 × 5, as shown in the rightmost panel in Figure 5. The degree of linear polarization −P12/P11 coincides under different numbers of orientations, which shows that the −P12/P11 is less sensitive to orientation numbers. Overall, the optical properties of BC aerosols were calculated by averaging over 729 (9 × 9 × 9) discrete orientations for accuracy.

3.2. Spherical Coating Model for BC Aerosols with Different Coating Volumes

For obtaining the influence of coating volumes on the optical properties of BC aerosols, BC aerosols are assumed as spherical coating models, as shown in Figure 2b and Figure 3b. The volume fractions of coating are 0, 0.3, 0.5, 0.7,0.8, 0.9 and 0.95. In addition, we also consider the morphology of BC aggregates during the aging process. The fractal dimensions D f of aggregates are set as 1.8, 2.0, 2.2, 2.4, 2.6, 2.8. With different sulfate coating volumes, the effects of BC aggregates partially or fully embedded in the coating on optical properties are studied.
Figure 6 depicts the C ext , C abs , ω and g of BC aerosols as a function of coating volume fraction. The optical properties with different D f have the same trends as f coating increases. The C ext , C abs and ω increase with the increase of the coating volume. The asymmetry factor g does not increase monotonically with the increase of coating volume. The g decreases first and then increases as the coating volume increases, which is mainly determined by the mixing state of BC aggregates and coating. With the coating volume fraction reaching 0.95, g increases to about 0.65 due to the increase in coating volume, suggesting that the forward scattering becomes more dominant. Although the volume of black carbon is fixed, the absorption cross-section of the BC aerosol increases obviously because of the “lensing effects” [36]. The increased single scattering albedo reflects that BC aerosols show a stronger scattering enhancement than absorption. The larger coating volume induces stronger scattering, so the single-scattering albedo ω increases from less than 0.2 to about 0.85 which indicates that the absorption dominant particles gradually become the scattering dominant particles. The aging of BC also affects the optical properties of BC aerosols. Compact aggregates induce a larger extinction and absorption cross-section than loose aggregates at the same coating volume fraction. It is because the larger Df causes stronger electromagnetic interaction led by the superposition of the scattered field among the monomers and the probability of absorption increases with the shrinkage of an aggregated particle [22]. When the coating volume fraction is greater than 0.9, the extinction cross-sections with different Df coincide. When the volume fraction is less than 0.8, the larger Df leads to greater single scattering albedo. With the volume fraction greater than 0.8, smaller Df shows greater ω. In addition, asymmetry factor g decreases with the increase of Df. The analysis shows that both coating and BC aggregate have an impact on the optical properties of BC aerosol. Therefore, to investigate the optical properties of BC aerosols, the effects of coating and BC aggregate should be considered together.
The effects of coating volume fractions on the phase function P11 of BC aerosols with different fractal dimensions are depicted in Figure 7. The phase function P11 with different fractal dimensions shows a similar angular variation trend. The forward scattering intensity is stronger than the backscattering intensity. The angular patterns of P11 with a small coating volume fraction are smoother. P11 is sensitive to the coating volume. Scattering intensity does not increase monotonically as the coating volume fraction increases. Figure 8 shows the variation of the forward scattering intensity (at scattering angle = 0°) as the coating volume fraction increases. The forward scattering intensity first decreases and then increases with the increase of coating volume. This is because the BC aggregate and coating work together to affect the phase function. The P11 of BC aerosols can be understood as the average of BC core and coating, as analyzed in [24]. The forward scattering peak of BC aerosols at a small f coating is weaker than that of the bare BC aggregates. The forward scattering peak of BC aerosol increases as the coating volume increases, when the coating is dominant. The smaller the Df, the stronger the forward scattering intensity of BC aerosol is at the same coating volume fraction.
Figure 9 illustrates the linear polarization degree −P12/P11 of BC aerosols with different coating volume fractions. When f coating 0.9 , due to the small size parameter χ   ( χ = 2 π R e f f / λ ), the degree of linear polarization −P12/P11 shows a Rayleigh bell shape and it also can be seen that the “peak moving backward” phenomenon, that is the location of maximal linear polarization moves to larger scattering angles with an increase of coating. The Rayleigh characteristics disappear and peaks and valleys show in the linear polarization degree when f coating > 0.9 . The −P12/P11 of BC aerosols with different coating volume fractions are similar in different Df, which indicates that Df is not sensitive to −P12/P11 of BC aerosols.
Figure 10 shows the angular patterns of the depolarization-related term P22/P11 with different coating volume fractions. With increasing the coating fraction, the mixing state of the BC aggregate and coating gradually approaches the spherical shape, which results in the P22/P11 gradually approaching 1. The P22/P11 represents the sphericity of geometry, and the P22/P11 of a sphere is equal to 1. Moreover, fractal dimensions D f also have an effect on P22/P11. Larger D f causes the P22/P11 close to 1. Thus, the mixing state of BC aggregate and coating has an influence on the Mueller matrix elements of BC aerosols.

3.3. BC Aerosols with Different Coating Models

The coating volume has a great influence on the optical properties of BC aerosols as illustrated in the previous section. Only the spherical coating model has been considered. Nevertheless, transmission or scanning microscopic images show that the geometry of BC aerosol is irregular during the aging process. In order to further discuss the impact of the coating shape on optical properties, we establish four models as shown in Figure 3, and analyze their optical properties. In addition, we also consider the morphology of BC aggregates so that the D f is set as 1.8, 2.2, and 2.8. The f coating are 0.5, 0.7 and 0.9.
Figure 11 describes the influences of sulfate coating shapes on the optical properties. It can be concluded that the coating shape affects the optical properties of BC aerosols. The extinction cross-section C ext and single-scattering albedo ω increase as the coating volume increases, whereas the asymmetry parameter g does not increase monotonically. This is consistent with the result of Section 3.2. The optical properties of the spherical coating model are almost the same as those of the ellipsoidal coating model. So, the spherical coating model and the ellipsoidal coating model can replace each other, when studying the optical properties of BC aerosols. The larger D f , the closer the optical properties of the spherical and the ellipsoidal coating model are to the core-shell model. It is because that large D f causes compact aggregate whose shape is close to the sphere. The C ext of the core-shell model is the largest among all shapes. The results indicate that ignoring the fractal structure of the BC core and assuming aggregates as spheres overestimate extinction cross-sections. The C ext of the irregular coating model is the smallest. This result shows that the irregular shape of the coating leads to a lower extinction cross-section. The single-scattering albedos of the spherical and the ellipsoidal coating model are larger than the irregular coating model and lower than the core-shell mode at a small coating volume fraction ( f coating = 0.5 ). However, when f coating is greater than 0.7, the result is the opposite. The asymmetry parameters of BC aerosols are greater than 0, suggesting that scattering of the forward scattering is dominant. The g of the irregular coating model is the largest at f coating = 0.3 , and the smallest at f coating = 0.9 . In conclusion, assuming irregular coating as spherical coating models considered in most studies leads to the inaccuracy in the optical properties of BC aerosols. It is necessary to comprehensively consider the influences of coating volume and aerosol morphology for studying the optical properties of BC aerosols.
Figure 12 depicts the scattering phase function P11 with different coating models. It can be seen from the figures that as the f coating increases, the gap between the forward and the backward scattering becomes larger. The forward scattering intensity of the core-shell model is lower than other models. Therefore, neglecting the fractal structure of BC aerosols can result in underestimating forward scattering. The scattering phase function P11 of spherical and ellipsoidal models almost coincide, indicating that they have the same influence on the scattering phase function. The forward scattering intensity of the irregular coating model is higher than other models. Its most irregular shape may be responsible for this. The rise of coating volume fractions leads to a decrease in the difference in forwarding scattering intensity among different shapes. Besides, at the same coating volume fractions, larger Df also leads to a decrease in the difference in forward scattering intensity among different shapes. In summary, the coating shapes affect the phase function of the BC aerosols and the influence of the coating shape on forward scattering intensity becomes smaller as coating volume fractions and Df increase.
Figure 13 illustrates the differences in linear polarization −P12/P11 among different coating models. In all models, linear polarization is basically Rayleigh bell-like with the maximum close to 1, and as the coating volume fractions f coating increases, the location of maximal shifts from θ = 90° to larger scattering angles. This result is consistent with the result shown in Section 3.2 for “peak moving backward” phenomenon. The peak of the irregular coating model is at a smaller scattering angle than other shapes under the same coating volume. In addition, the −P12/P11 of BC aerosols with different coating volume fractions are similar under different Df.
Figure 14 describes the P22/P11 of BC aerosols with different coating models. Since the morphology of BC aerosols with the core-shell model is spherical, the P22/P11 of the core-shell model is almost equal to 1. The elements P22/P11 of compact aggregates are closer to 1 than loose aggregates at the same coating volume fraction. The elements P22/P11 of BC aerosols with spherical coating model, ellipsoidal coating model, and irregular coating model are close to each other at f coating = 0.5 . When f coating is greater than 0.5, the P22/P11 is different in different coating models. The P22/P11 of the spherical coating model is the largest, followed by the ellipsoidal coating model and the P22/P11 of the irregular coating model is the smallest, except for the core-shell model. In conclusion, the more irregular the morphology of BC aerosol leads to the smaller the P22/P11.

4. Conclusions

BC aerosols with core-shell, spherical, ellipsoid, and irregular coating models are established by the general inhomogeneous particle superposition model we developed in this paper. The shape of the BC core, that is, different fractal dimensions or assuming a spherical shape, the sulfate coating shape, and the coating volume fractions affect the optical properties of BC aerosols.
The influences of coating volumes on the optical properties of BC aerosols are investigated by assuming that BC aerosols are spherical coating models. The C ext , C abs , and ω increase as the coating volume increases. The g decreases first and then increases as the coating volume increases. The forward scattering intensity first decreases and then increases with increasing the coating volume fraction. The angular patterns of P11 with a small coating volume fraction are smoother. When f coating 0.9 , the degree of linear polarization −P12/P11 shows a Rayleigh bell shape and the “peak moving backward” phenomenon also can be seen with the increase of coating volume. The features disappear and peaks and valleys appear in the linear polarization degree when f coating > 0.9 . With the increase of coating volume fraction, the mixing state of the BC aggregate and coating gradually approaches the spherical shape, which results in the P22/P11 gradually approaching 1.
The coating shape influences the optical properties of BC aerosols. The optical properties of the spherical coating model are very close to those of the ellipsoidal coating model. So, the spherical and the ellipsoidal coating model can replace each other when studying the optical properties of BC aerosols. Ignoring the fractal structure of BC aggregate and assuming aggregates as spheres overestimate extinction cross-sections. The irregular shape of the coating leads to a lower C ext . The single-scattering albedos of the spherical and ellipsoidal coating model are larger than the irregular coating model and lower than the core-shell mode at a small coating volume fraction ( f coating = 0.5 ). However, when f coating is greater than 0.7, the result is the opposite. The g of the irregular coating model is the largest at f coating = 0.3 , and the smallest at f coating = 0.9 . Among all the models, the forward scattering intensity of the core-shell model is the lowest and the irregular coating model is the highest. The influence of the coating shape on forward scattering intensity becomes smaller as coating volume fractions and Df increase. The peak of −P12/P11 of the irregular coating model is at a smaller scattering angle than other shapes under the same coating volume. The more irregular the morphology of BC aerosol leads to the smaller the P22/P11.
Besides, Df also affects the optical properties. The compact aggregates induce a larger extinction and absorption cross-section than loose aggregates at the same coating volume fraction. Asymmetry factor g and the forward scattering intensity of BC aerosol decrease with the increase of Df. The larger Df causes the P22/P11 close to 1 and the closer the optical properties of the spherical and the ellipsoidal coating model are to the core-shell model.
Consequently, assuming irregular coating as spherical coating models considered in most studies leads to inaccuracy in the optical properties of BC aerosols. It is necessary to comprehensively consider the influences of aerosol morphology and coating volume for studying the optical properties of BC aerosols. Establishing different BC aerosols models based on different morphologies in nature can more accurately calculate the optical properties. The general inhomogeneous particle superposition model we developed provides a general method to construct different geometries and materials of inhomogeneous particles. In this paper, we assume the coating and the BC aggregate have the same center of mass, whereas the relative position of their center of mass also affects the optical properties of BC aerosols [23,24]. The effects of the relative distance between aggregate and coating on the optical properties of BC aerosols can be further verified in future research.

Author Contributions

Conceptualization, Y.H. and K.Z.; methodology, Y.T.; software and validation, Y.T.; writing-original draft preparation, Y.T.; supervision and project administration, Y.H. and K.Z.; funding acquisition, Y.H. and K.Z. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by the National Natural Science Foundation of China (Grant Nos. 51876004 and 52176051) and Fundamental Research Funds for Central Universities (Grant No. YWF-21-BJ-J-818).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Acknowledgments

Bruce T. Draine and Piotr J. Flatau are acknowledged for making their DDA code publicly available: http://ddscat.wikidot.com/downloads (accessed on 25 March 2015).

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Bond, T.C.; Sun, H. Can Reducing Black Carbon Emissions Counteract Global Warming? Environ. Sci. Technol. 2005, 39, 5921–5926. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Liu, F.; Wong, C.; Snelling, D.R.; Smallwood, G.J. Investigation of Absorption and Scattering Properties of Soot Aggregates of Different Fractal Dimension at 532 nm Using RDG and GMM. Aerosol Sci. Technol. 2013, 47, 1393–1405. [Google Scholar] [CrossRef]
  3. Ramanathan, V.; Carmichael, G. Global and regional climate changes due to black carbon. Nat. Geosci. 2008, 1, 221–227. [Google Scholar] [CrossRef]
  4. IPCC 2013; Stocker, T.; Qin, D.; Plattner, G.-K.; Tignor, M.; Allen, S.K.; Boschung, J.; Nauels, A.; Xia, Y.; Bex, V.; et al. Climate Change 2013. The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change; Cambridge University Press: Cambridge, UK; New York, NY, USA, 2013; 1535p. [Google Scholar] [CrossRef] [Green Version]
  5. Jacobson, M.Z. Strong radiative heating due to the mixing state of black carbon in atmospheric aerosols. Nature 2001, 409, 695–697. [Google Scholar] [CrossRef]
  6. Shiraiwa, M.; Kondo, Y.; Iwamoto, T.; Kita, K. Amplification of Light Absorption of Black Carbon by Organic Coating. Aerosol Sci. Technol. 2010, 44, 46–54. [Google Scholar] [CrossRef]
  7. Wentzel, M.; Gorzawski, H.; Naumann, K.H.; Saathoff, H.; Weinbruch, S. Transmission electron microscopical and aerosol dynamical characterization of soot aerosols. J. Aerosol Sci. 2003, 34, 1347–1370. [Google Scholar] [CrossRef]
  8. Li, J.; Pósfai, M.; Hobbs, P.V.; Buseck, P.R. Individual aerosol particles from biomass burning in southern Africa: 2, Compositions and aging of inorganic particles. J. Geophys. Res. Atmos. 2003, 108, 8484. [Google Scholar] [CrossRef] [Green Version]
  9. China, S.; Mazzoleni, C.; Gorkowski, K.; Aiken, A.C.; Dubey, M.K. Morphology and mixing state of individual freshly emitted wildfire carbonaceous particles. Nat. Commun. 2013, 4, 2122. [Google Scholar] [CrossRef] [Green Version]
  10. Martins, J.V.; Artaxo, P.; Liousse, C.; Reid, J.S.; Hobbs, P.V.; Kaufman, Y.J. Effects of black carbon content, particle size, and mixing on light absorption by aerosols from biomass burning in Brazil. J. Geophys. Res. Atmos. 1998, 103, 32041–32050. [Google Scholar] [CrossRef]
  11. Smith, A.J.A.; Grainger, R.G. Simplifying the calculation of light scattering properties for black carbon fractal aggregates. Atmos. Chem. Phys. 2014, 14, 7825–7836. [Google Scholar] [CrossRef] [Green Version]
  12. Zhang, R.; Khalizov, A.F.; Pagels, J.; Zhang, D.; Xue, H.; McMurry, P.H. Variability in morphology, hygroscopicity, and optical properties of soot aerosols during atmospheric processing. Proc. Natl. Acad. Sci. USA 2008, 105, 10291–10296. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Bond, T.C.; Habib, G.; Bergstrom, R.W. Limitations in the enhancement of visible light absorption due to mixing state. J. Geophys. Res. Atmos. 2006, 111, D20211. [Google Scholar] [CrossRef]
  14. Cappa, C.D.; Onasch, T.B.; Massoli, P.; Worsnop, D.R.; Bates, T.S.; Cross, E.S.; Davidovits, P.; Hakala, J.; Hayden, K.L.; Jobson, B.T.; et al. Radiative Absorption Enhancements Due to the Mixing State of Atmospheric Black Carbon. Science 2012, 337, 1078–1081. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Schwarz, J.P.; Gao, R.S.; Spackman, J.R.; Watts, L.A.; Thomson, D.S.; Fahey, D.W.; Ryerson, T.B.; Peischl, J.; Holloway, J.S.; Trainer, M.; et al. Measurement of the mixing state, mass, and optical size of individual black carbon particles in urban and biomass burning emissions. Geophys. Res. Lett. 2008, 35, L13810. [Google Scholar] [CrossRef]
  16. Bond, T.C.; Doherty, S.J.; Fahey, D.W.; Forster, P.M.; Berntsen, T.; DeAngelo, B.J.; Flanner, M.G.; Ghan, S.; Kärcher, B.; Koch, D.; et al. Bounding the role of black carbon in the climate system: A scientific assessment. J. Geophys. Res. Atmos. 2013, 118, 5380–5552. [Google Scholar] [CrossRef]
  17. Dubovik, O.; Sinyuk, A.; Lapyonok, T.; Holben, B.N.; Mishchenko, M.; Yang, P.; Eck, T.F.; Volten, H.; Muñoz, O.; Veihelmann, B.; et al. Application of spheroid models to account for aerosol particle nonsphericity in remote sensing of desert dust. J. Geophys. Res. 2006, 111, D11. [Google Scholar] [CrossRef] [Green Version]
  18. Videen, G.; Chylek, P.J.O.C. Scattering by a composite sphere with an absorbing inclusion and effective medium approximations. Optis Commun. 1998, 158, 1–6. [Google Scholar] [CrossRef]
  19. Kahnert, M.; Nousiainen, T.; Lindqvist, H. Review: Model particles in atmospheric optics. J. Quant. Spectrosc. Radiat. Transf. 2014, 146, 41–58. [Google Scholar] [CrossRef] [Green Version]
  20. Ackerman, T.P.; Toon, O.B. Absorption of visible radiation in atmosphere containing mixtures of absorbing and nonabsorbing particles. Appl. Opt. 1981, 20, 3661–3668. [Google Scholar] [CrossRef]
  21. Yin, J.Y.; Liu, L.H. Influence of complex component and particle polydispersity on radiative properties of soot aggregate in atmosphere. J. Quant. Spectrosc. Radiat. Transf. 2010, 111, 2115–2126. [Google Scholar] [CrossRef]
  22. Fan, M.; Chen, L.; Li, S.; Zou, M.; Su, L.; Tao, J. The Effects of Morphology and Water Coating on the Optical Properties of Soot Aggregates. Aerosol Air Qual. Res. 2016, 16, 1315–1326. [Google Scholar] [CrossRef] [Green Version]
  23. Dong, J.; Zhao, J.M.; Liu, L.H. Morphological effects on the radiative properties of soot aerosols in different internally mixing states with sulfate. J. Quant. Spectrosc. Radiat. Transf. 2015, 165, 43–55. [Google Scholar] [CrossRef]
  24. Liu, C.; Li, J.; Yin, Y.; Zhu, B.; Feng, Q. Optical properties of black carbon aggregates with non-absorptive coating. J. Quant. Spectrosc. Radiat. Transf. 2017, 187, 443–452. [Google Scholar] [CrossRef]
  25. Kahnert, M.; Nousiainen, T.; Lindqvist, H. Models for integrated and differential scattering optical properties of encapsulated light absorbing carbon aggregates. Opt. Express 2013, 21, 7974. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  26. Kahnert, M. Optical properties of black carbon aerosols encapsulated in a shell of sulfate: Comparison of the closed cell model with a coated aggregate model. Opt. Express 2017, 25, 24579–24593. [Google Scholar] [CrossRef] [Green Version]
  27. Kahnert, M.; Kanngiesser, F. Aerosol optics model for black carbon applicable to remote sensing, chemical data assimilation, and climate modelling. Opt. Express 2021, 29, 10639–10658. [Google Scholar] [CrossRef]
  28. Fuqiang, W.; Hao, W.; Dayang, G.; Ziming, C.; Lanxin, M. Radiative transfer analysis of semitransparent medium with particles having non-uniform size distribution by differential-integration method. Int. J. Heat Mass Transf. 2019, 130, 342–355. [Google Scholar] [CrossRef]
  29. Ma, L.; Wang, C.; Liu, L. Polarized radiative transfer in dense dispersed media containing optically soft sticky particles. Opt. Express 2020, 28, 28252–28268. [Google Scholar] [CrossRef]
  30. Aoyu, Z.; Fuqiang, W.; Ziming, C.; Huaxu, L.; Xuhang, S. Radiative property investigation of dispersed particulate medium with the consideration of non-uniform particle size distribution and dependent scattering effects. Int. J. Heat Mass Transf. 2022, 186, 122488. [Google Scholar] [CrossRef]
  31. Liu, C. Optical Properties of Black Carbon Aggregates. In Springer Series in Light Scattering. Volume 3: Radiative Transfer and Light Scattering; Springer Series in Light Scattering; Springer: Berlin/Heidelberg, Germany, 2019; pp. 167–218. [Google Scholar]
  32. Bao, Y.; Huang, Y.; Li, W.; Zhu, K. Comparison of the scattering properties between TiO2 and ITO clusters based on the particle superposition model. Opt. Mater. Express 2019, 9, 562–575. [Google Scholar] [CrossRef]
  33. Witten, T.A.; Sander, L.M. Diffusion-Limited Aggregation in Three Dimensions. Phys. Rev. B Condens. Matter 1983, 27, 5686–5697. [Google Scholar] [CrossRef] [Green Version]
  34. Prasanna, S.; Rivière, P.; Soufiani, A. Effect of fractal parameters on absorption properties of soot in the infrared region. J. Quant. Spectrosc. Radiat. Transf. 2014, 148, 141–155. [Google Scholar] [CrossRef]
  35. Wu, Y.; Cheng, T.; Zheng, L.; Chen, H. Effect of morphology on the optical properties of soot aggregated with spheroidal monomers. J. Quant. Spectrosc. Radiat. Transf. 2016, 168, 158–169. [Google Scholar] [CrossRef]
  36. Tianhai Cheng, X.G.; Yu, W.; Hao, C. Effects of atmospheric water on the optical properties of soot aerosols with different mixing states. J. Quant. Spectrosc. Radiat. Transf. 2014, 147, 196–206. [Google Scholar] [CrossRef]
  37. Yu, H.-T.; Liu, D.; Duan, Y.-Y.; Wang, X.-D. Theoretical model of radiative transfer in opacified aerogel based on realistic microstructures. Int. J. Heat Mass Transf. 2014, 70, 478–485. [Google Scholar] [CrossRef]
  38. Christopher, M.; Sorensen, G.C.R. The Prefactor of Fractal Aggregates. J. Colloid Interface Sci. 1997, 186, 447–452. [Google Scholar] [CrossRef]
  39. Forrest, S.R.; Witten, T.A. Long-range correlations in smoke-particle aggregates. J. Phys. A Math. Gen. 1979, 12, L109–L117. [Google Scholar] [CrossRef]
  40. Sorensen, C.M. Light Scattering by Fractal Aggregates: A Review. Aerosol Sci. Technol. 2001, 35, 648–687. [Google Scholar] [CrossRef]
  41. Bond, T.C.; Bergstrom, R.W. Light Absorption by Carbonaceous Particles: An Investigative Review. Aerosol Sci. Technol. 2006, 40, 27–67. [Google Scholar] [CrossRef]
  42. Luo, J.; Zhang, Y.; Wang, F.; Zhang, Q. Effects of brown coatings on the absorption enhancement of black carbon: A numerical investigation. Atmos. Chem. Phys. 2018, 18, 16897–16914. [Google Scholar] [CrossRef] [Green Version]
  43. Kahnert, M.; Nousiainen, T.; Lindqvist, H.; Ebert, M. Optical properties of light absorbing carbon aggregates mixed with sulfate: Assessment of different model geometries for climate forcing calculations. Opt. Express 2012, 20, 10042–10058. [Google Scholar] [CrossRef] [PubMed]
  44. Huang, Y.; Zhao, R.; Li, W. Radiative characteristics of nonspherical particles based on a particle superposition model. J. Geophys. Res. Atmos. 2013, 118, 11–762. [Google Scholar] [CrossRef]
  45. Huang, Y.; Jin, C.; Bao, Y. Effects of bump/pit on the radiative properties of small particles. Opt. Lett. 2016, 41, 1455–1457. [Google Scholar] [CrossRef] [PubMed]
  46. Tang, Y.; Zhu, K.; Huang, Y. Radiative properties of porous fly ash particles based on the particle superposition model. J. Quant. Spectrosc. Radiat. Transf. 2022, 277, 107977. [Google Scholar] [CrossRef]
  47. Purcell, E.M.; Pennypacker, C.R. Scattering and Absorption of Light by Nonspherical Dielectric Grains. Astrophys. J. 1973, 186, 705–714. [Google Scholar] [CrossRef]
  48. Draine, B.T. The Discrete-Dipole Approximation and Its Application to Interstellar Graphite Grains. Astrophys. J. 1988, 333, 848–872. [Google Scholar] [CrossRef]
  49. Draine, B.T.; Flatau, P.J. Discrete-Dipole Approximation for Scattering Calculations. J. Opt. Soc. Am. A 1994, 11, 1491–1499. [Google Scholar] [CrossRef]
  50. Draine, B.T.; Flatau, P.J. User guide for the discrete dipole approximation code DDSCAT 7.3. arXiv 2013, arXiv:1305.6497. [Google Scholar]
  51. Draine, B.T.; Flatau, P.J. Discrete-dipole approximation for periodic targets: Theory and tests. J. Opt. Soc. Am. A 2008, 25, 1491–1499. [Google Scholar] [CrossRef] [Green Version]
  52. Flatau, P.; Draine, B. Fast near field calculations in the discrete dipole approximation for regular rectilinear grids. Opt. Express 2012, 20, 1247–1252. [Google Scholar] [CrossRef]
  53. Flatau, P.; Draine, B. Light scattering by hexagonal columns in the discrete dipole approximation. Opt. Express 2014, 22, 21834–21846. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  54. Draine, B.; Goodman, J. Beyond Clausius-Mossotti—Wave propagation on a polarizable point lattice and the discrete dipole approximation. Astrophys. J. 1993, 405, 685–697. [Google Scholar] [CrossRef]
  55. Travis, L.; Lacis, A. Scattering, Absorption, and Emission of Light by Small Particles; Cambridge University Press: New York, NY, USA, 2002; Volume 4. [Google Scholar]
  56. Kandilian, R.; Heng, R.-L.; Pilon, L. Absorption and scattering by fractal aggregates and by their equivalent coated spheres. J. Quant. Spectrosc. Radiat. Transf. 2015, 151, 310–326. [Google Scholar] [CrossRef]
  57. Mishchenko, M.I. Light scattering by randomly oriented axially symmetric particles. J. Opt. Soc. Am. A 1991, 8, 871–882. [Google Scholar] [CrossRef]
  58. Nousiainen, T.; Kahnert, M.; Lindqvist, H. Can particle shape information be retrieved from light-scattering observations using spheroidal model particles? J. Quant. Spectrosc. Radiat. Transf. 2011, 112, 2213–2225. [Google Scholar] [CrossRef]
  59. Li, J.; Liu, C.; Yin, Y.; Kumar, K.R. Numerical investigation on the Ångström exponent of black carbon aerosol. J. Geophys. Res. Atmos. 2016, 121, 3506–3518. [Google Scholar] [CrossRef] [Green Version]
Figure 1. The morphological change of bare BC aggregates during the aging process.
Figure 1. The morphological change of bare BC aggregates during the aging process.
Photonics 09 00359 g001
Figure 2. Illustration of models for black carbon aerosols with different sulfate coating shapes: (a) core-shell model, (b) spherical coating model, (c) ellipsoidal coating model, and (d) irregular coating model.
Figure 2. Illustration of models for black carbon aerosols with different sulfate coating shapes: (a) core-shell model, (b) spherical coating model, (c) ellipsoidal coating model, and (d) irregular coating model.
Photonics 09 00359 g002
Figure 3. Models for black carbon aerosols with different sulfate coating shapes: (a) core-shell model, (b) spherical coating model, (c) ellipsoidal coating model, and (d) irregular coating model.
Figure 3. Models for black carbon aerosols with different sulfate coating shapes: (a) core-shell model, (b) spherical coating model, (c) ellipsoidal coating model, and (d) irregular coating model.
Photonics 09 00359 g003
Figure 4. Extinction cross section Cext, single-scattering albedo ω, and asymmetry parameter g of BC aggregates and BC aerosols with spherical coating for different numbers of orientations.
Figure 4. Extinction cross section Cext, single-scattering albedo ω, and asymmetry parameter g of BC aggregates and BC aerosols with spherical coating for different numbers of orientations.
Photonics 09 00359 g004
Figure 5. Mueller matrix elements of BC aggregates and BC aerosols with spherical coating for different discrete orientation numbers.
Figure 5. Mueller matrix elements of BC aggregates and BC aerosols with spherical coating for different discrete orientation numbers.
Photonics 09 00359 g005
Figure 6. Optical properties of BC aerosols with spherical coating with different coating volume fractions.
Figure 6. Optical properties of BC aerosols with spherical coating with different coating volume fractions.
Photonics 09 00359 g006
Figure 7. Scattering phase function P11 of BC aerosols with different coating volume fractions.
Figure 7. Scattering phase function P11 of BC aerosols with different coating volume fractions.
Photonics 09 00359 g007
Figure 8. Forward scattering intensity (P11 at scattering angle = 0°) of BC aerosols with different coating volume fractions.
Figure 8. Forward scattering intensity (P11 at scattering angle = 0°) of BC aerosols with different coating volume fractions.
Photonics 09 00359 g008
Figure 9. Mueller matrix element −P12/P11 of BC aerosols with different coating volume fractions.
Figure 9. Mueller matrix element −P12/P11 of BC aerosols with different coating volume fractions.
Photonics 09 00359 g009
Figure 10. Mueller matrix element P22/P11 of BC aerosols with different coating volume fractions.
Figure 10. Mueller matrix element P22/P11 of BC aerosols with different coating volume fractions.
Photonics 09 00359 g010
Figure 11. Optical properties of BC aerosols with different coating models.
Figure 11. Optical properties of BC aerosols with different coating models.
Photonics 09 00359 g011
Figure 12. Phase function P11 of BC aerosols with different coating models.
Figure 12. Phase function P11 of BC aerosols with different coating models.
Photonics 09 00359 g012
Figure 13. Linear polarization −P12/P11 of BC aerosols with different coating models.
Figure 13. Linear polarization −P12/P11 of BC aerosols with different coating models.
Photonics 09 00359 g013
Figure 14. Mueller matrix elements P22/P11 of BC aerosols with different coating models.
Figure 14. Mueller matrix elements P22/P11 of BC aerosols with different coating models.
Photonics 09 00359 g014
Table 1. Extinction cross-section Cext, single-scattering albedo ω, and asymmetry parameter g of BC aggregates with different discrete orientation numbers.
Table 1. Extinction cross-section Cext, single-scattering albedo ω, and asymmetry parameter g of BC aggregates with different discrete orientation numbers.
Numbers
N β   ×   N Θ   ×   N Φ
Cext × 10−2 μm2 δ C e x t   % ω δ ω   % g δ g   %
3 × 3 × 31.61878-0.13428-0.37522-
5 × 5 × 51.619390.03760.134450.130380.36852−1.7856
7 × 7 × 71.6193900.134500.034950.36799−0.1438
9 × 9 × 91.6193900.1345000.36790−0.0245
11 × 11 × 111.6193900.134510.006990.367900
13 × 13 × 131.6193900.1345100.367900
Table 2. Extinction cross-section Cext, single-scattering albedo ω, and asymmetry parameter g of BC aerosols with spherical coating for different discrete orientation numbers.
Table 2. Extinction cross-section Cext, single-scattering albedo ω, and asymmetry parameter g of BC aerosols with spherical coating for different discrete orientation numbers.
Numbers
N β   ×   N Θ   ×   N Φ
Cext × 10−2 μm2 δ C e x t   % ω δ ω   % g δ g   %
3 × 3 × 34.14741-0.53359-0.41788-
5 × 5 × 54.147850.010740.53241−0.222000.41699−0.21298
7 × 7 × 74.1478500.532490.016130.41678−0.05036
9 × 9 × 94.1478500.532500.002020.41675−0.00960
11 × 11 × 114.1478500.5325000.416740
13 × 13 × 134.1478500.5325000.416740
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Tang, Y.; Huang, Y.; Zhu, K. Optical Properties of Black Carbon Aerosols with Different Coating Models. Photonics 2022, 9, 359. https://doi.org/10.3390/photonics9050359

AMA Style

Tang Y, Huang Y, Zhu K. Optical Properties of Black Carbon Aerosols with Different Coating Models. Photonics. 2022; 9(5):359. https://doi.org/10.3390/photonics9050359

Chicago/Turabian Style

Tang, Yanxia, Yong Huang, and Keyong Zhu. 2022. "Optical Properties of Black Carbon Aerosols with Different Coating Models" Photonics 9, no. 5: 359. https://doi.org/10.3390/photonics9050359

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop