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7/18/2019 2010 SEM-EDX Identification of FP
http://slidepdf.com/reader/full/2010-sem-edx-identification-of-fp 1/8
Air Pollution and Climate Change
269
SEM-EDX IDENTIFICATION OF PARTICLES FROM FOG IN AN
INDUSTRIALLY POLLUTED REGION OF CZECH REPUBLIC
Assoc. Prof. Dr. Valeria Stoyanova1
, Dr. Annie Shoumkova1
,Eng. Dr. Jaroslav Fisak
2, Tsenka Tsacheva
1
1Institute of Physical Chemistry “Rostislaw Kaischew”, BAS, Bulgaria2 Institute of Atmospheric Physics, AS CR, Czech Republic
ABSTRACT
The properties of individual particles, rather than bulk aerosol characteristics, determine
the environmental and health impact of the atmospheric pollutants. Single particles have
been sampled during 30 fog episodes at the mount Milesovka (837 m a.s.l.) located in
the industrially polluted area of north Bohemian brown coalfield. More than 2000 ofthese solid, water insoluble particles, collected from May 2006 till July 2007, have been
analyzed by SEM-EDX and classified according to their shape, size and elemental
composition. Here we summarize results related to the presence of some heavy metals
and other trace elements and their correlation to wind speed and direction, t given
meteorological conditions. Particles, rich of Cu, Zn, Ba, Pb, Co, Ni, Fe, Ag, Au, Ce, Gd,
etc., have been detected. Most of the identified heavy metals present in particles smallerthan 5 μm. It has been established that some elements exist separately or in specific
combinations that, along with the information for particle’s backward trajectory, could
be used for recognition of the atmospheric pollution sources.
Keywords: SEM-EDX, solid atmospheric pollutants, trace elements, heavy metals,Czech Republic.
INTRODUCTION
The changes in chemical composition of the atmosphere have important contribution to
air quality and climate changes [1,2]. Solid aerosols play a central role in adverse health
and visibility. They are associated with a variety of anthropogenic activities (traffic,
industry, power plants, mining, combustion, etc.) and/or natural processes (volcanoes,
forest fires, sea spray, etc.) [3]. Ejection of giant amounts of anthropogenic heavymetals in atmosphere is still an unsolved problem bothering the European community.
Knowledge about the nature of such pollutants is essential not only for their monitoring but also for the modeling of atmospheric processes.
It is well known that the properties of the individual particles, rather than the bulk
aerosol characteristics, determine the optical, environmental and health effects of one
aerosol. Scanning electron microscopy (SEM), coupled with Enegry Dispesive X-ray
Spectrometer (EDX), has proven to be an ideal tool for characterization of individual
particles [4-7], providing simultaneously precious information for their composition,
shape, structure and size that cannot be obtained by any bulk analytical approach.
In this paper we pay attention to the usage of the solid atmospheric pollutants as tracers
for specific emission sources, especially when they are of inhalatory size and have
specific morphology and composition.
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International Multidisciplinary Scientific Geo-Conference SGEM 2010
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SAMPLING AND ANALYSIS
Solid particles, known as PM10 or PM2.5 (particulate matter, smaller than 10 or 2.5
μm), transported by fog water droplets have been studied. They have been collected at
Milesovka observatory, located in North Bohemian brown coalfield – one of the most
polluted areas of the Czech Republic till the nineties. Several large conurbations (Most,
Usti nad Labem, Litvinov, Teplice, etc.), power plants and intensive chemical industry
are concentrated there and additionally a high traffic road for trucks passs along.
In total 30 fog samples were gathered during fog episodes from May 2006 till July 2007 by using of special active and passive devices. The insoluble particles have been caught
by filtering of fog water through nitrocellulose filters (pore sizes 0.45 m), dried,
covered with carbon coating (onto the filter) and studied. The soluble constituent of
some of these fog water samples has been previously analyzed [8]. The comparison of
water-soluble and insoluble contents in fog samples is an authors’ aim in progress [9-
10]. The aim of the current investigation is to provide information about composition
and properties of atmosphere solids that, along to the data for the meteorologicalconditions, will contribute for the identification of the air pollution sources, which is our
final goal.
All analysis of fog particles (FP) has been carried by mean of JEOL JSM 6390. The
elemental spectrum of each particle was collected for 30 s at 20 KeV. The size andshape of each particle were determined manually during its observation by SEM (using
SEI- and BEI- mode) and from the microphotographs. Most of the morphologicalcharacteristics (shape, size, surface, axis relation, etc.) are better visible in SEI- mode,
formed by secondary electrons. At appropriate conditions, the FP rich of iron and/orother heavy metals could be easily detected in backscattering mode (BEI), formed by
back-scattered electrons. In this mode, particles (or pieces of them), enriched inelement/s, having atomic number bigger than that of the iron, are represented as bright
spots on dark background. All non-ferrous heavy metal FP have been identified in BEI-
mode, because of their low frequency and small sizes. More details for the used
apparatus and methods of analysis of micro- and nano-size FP are given in our previous
publications [6,7].
EXPERIMENTAL RESULTS
Between 50 and 150 particles have been analyzed in each of the 30 fog samples, and
totally more than 2200 FP have been studied. FP collected from one single wind
direction have been classified into groups: East (97), South (188), West (1192) and
North (289) (see Table 1, Fig. 1). FP collected from more than one wind sector areincluded in the data, presented in Fig. 2. All carbon-rich particles (organics, soot, etc.)
are excluded from data reprocessing in this presentation. In Table 1 somemeteorological conditions measured during fog samples collection are given together
with the electron-microscope data for the studied FP from each sample and theirdistribution in the four main groups. Each wind direction main group is divided into
three principal (vertical) groups: particles enriched in Fe (Fe > 50 wt.%), particles of
non-ferrous transition and heavy metals, and particles enriched in Al+Si > 50wt% (the
rest of particles, not fulfilling these criteria, are excluded from this table). The percent
of spherical particles (indicative for high-temperature processes) is shown in breaks
after the number of analyzed FP for every sample and group of particles. An averaged
value of the mean particle size is added in the last column of Table 1.
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Air Pollution and Climate Change
271
Table 1. Meteorological conditions and electron-microscope data for the studied FP,their distribution in the four main wind sectors and in three principal groups – FP
enriched by Fe, by Al+Si and by heavy metals, together with the mean particle size.
Sample
Fog
sampling
date
Wind
speed,
m/s
Wind
direction,
degrees
Sampling
time,
hours
StudiedFP/spheres
Fe-richFP
Other
heavymetal
FP
Alumo-
silicate
FP
Mean
size,
m
East 97 (17%) 15%(40%) 3%(30%) 66%(14%)
1 28/05/07 10.5 95±77 7.25 97 (17%) 15 (40%) 3(30%) 64(14%)
1.6
South 188 (30%) 24%(41%) 16%(47%) 58%(28%)
2 23/10/06 10 192±37 3 92(39%) 22(45%) 15(47%) 59(41%)
3 28/11/06 6 183.5±32.5 12 96(21%) 24(42%) 15(47%) 50(12%)
2.2
West 1192 (22%) 18%(31%) 9%(24%) 54%(25%)
4 30/08/06 12 296±6 4.75 79(43%) 11(54%) 6(0%) 76(37%)
5 06/09/06 9 304.5±12.5 5 77(29%) 18(28%) 5(0%) 57(28%)
6 21/10/06 11 238+12 5.5 79(39%) 34(38%) 17(71%) 49(29%)
7 24/10/06 13 236±17 1.5 89(43%) 23(35%) 9(55%) 85(32%)
8 12/12/06 11 271±
25 16 99(14%) 9(44%) 10(20%) 53(11%)9 09/01/07 14.5 252±4 8.5 97(5%) 10(10%) 20(0%) 38(0%)
10 17/01/07 19 250±6 25 107(14%) 20(25%) 7(14%) 72(12%)
11 15/05/07a.m. 9 292.5±4.5 4.5 91(12%) 9(33%) 7(0%) 36(14%)
12 16/05/07 10 294±3 7 102(15%) 11(36%) 9(22%) 83(11%)
13 25/06/07 5 244.5±9.5 8.5 84(20%) 9(11%) 3(33%) 68(21%)
14 02/07/07 7.5 245.5±11.5 29.25 75(7%) 11(9%) 5(20%) 36(8%)
15 05/07/07 8.5 287±8 4 96(11%) 16(12%) 6(50%) 46(9%)
16 29/07/07 8 273.5±42.5 7.25 117(37%) 35(43%) 2(100%) 94(27%)
3.8
North 289 (13%) 9%(19%) 9%(12%) 53%(14%)
17 04/04/07 6.5 354.5±16.5 3.5 53(26%) 13(38%) 7(0%) 26(31%)
18 29/04/07 8 349.5±7.5 3 73(5%) 9(0%) 9(11%) 29(10%)
19 15/05/07p.m. 12.5 330.5±19.5 6.25 83(16%) 8(12%) 6(33%) 42(17%)
20 03/06/07 9.5 358±
34 7.25 80(7%) 6(17%) 3(0%) 57(7%)
4.2
Figure 1. Normalized data for heavy metal FP according to the main wind sectors.
Cr Mn Ni
Cu Zn Ag
I Ba Pt
Au Pb Fe
Cr Mn
Ni Fe
Cr Mn Co
Ni Cu Zn
Zr Ag Sn
Sb I Ba
W Ce Au
Pb Fe
Cr Mn Co
Ni Zn Y
Zr Fe
N
W
E
S
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International Multidisciplinary Scientific Geo-Conference SGEM 2010
272
Figure 2. Elemental composition of all (2206) particles studied microscopically.
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Air Pollution and Climate Change
273
Fig. 1 presents in broad outline the distribution of the studied FP enriched of iron andnon-iron heavy metals according to the main four wind sectors. The elemental spectra
obtained from more than 2200 FP, including samples covering more than one wind
sector (that are not presented in Table 1 and Figure 1), are illustrated in Fig.2. The
legends in the Fig. 1 and Fig. 2 mark the elements by different colors or patterns.
Typical FP shapes (faceted, rounded, dendritic) and surfaces (smooth or rough) are
presented in Fig. 3. Their macro composition is given in weight percents up-left on each photo, while up-right is indicated the first letter of the corresponding wind sector. The
FP size is in the micrometer scale and indicated by marker line below each photograph.
Figure 3. Heavy metal FP (looking as white spots in BEI–mode) with differentcomposition, given in weight percent up-left on each photo. The FP size is indicated by
the corresponding marker line below each photograph.
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DISCUSSION AND CONCLUSIONS
Every atmospheric particle brings its own valuable information that, after statistical
accumulation of data, contributes the clarifying of pollution status. For example, NaCl
particles (10 found in this study) can direct our attention to the salting of the roads
during winter period. Other typical markers appear to be carbon-rich particles that are
born due to the intensive anthropogenic activity (coal and other fuels burning) in
heating periods from autumn to spring. (The analyses of carbon-rich FP are not includedhere, although they represent a significant part of the investigated fog particles.)
Similar is the role of particles enriched in specific combinations of heavy metals is
indicative for the source of pollution, especially if the transport history of FP can be
evaluated. The information for the shape, size and surface peculiarities of the studied FP
is also important for their identification. For example, the spherical shape of micro- and
nano- particles usually results from high-temperature processes, and therefore could be
almost directly correlated to an anthropogenic origin. Nevertheles, an explicit
conclusion, must be supported by data for the chemical composition of the particle.
Almost all FP studied represent PM10, more than 60% of them are even PM2.5 (mean
particle size 3.6 μm). As such fine particles have been in contact with acidic water (pH
~ 4) for a long time (from hours to days) [8], they probably have passed through various
physicochemical transformations (dissolution, pre-crystallization, etc.), and actuallyrepresent not primary (as emitted) but secondary particles. This note should be taken
into account when a FP and PM from industrial sources are compared.
The small number of FP collected in some sectors additionally hampers the statistical
processing of data for evaluation of the mean FP size. Nevertheless, a tendency has been
established (Table 1, last column), showing that in general the smaller particles belong
to the South-East and the bigger - to the North-West group. Most probably this result isrelated to the more intensive wind flows from West, lifting bigger particles from the
crust and soils in atmosphere. The relation size-pollution source is less probable.
Some of the detected elements (Fe, Cr, Mn, Ni) present in all studied samples,
independently on the wind direction during the respective fog episode. Others FP are
common for two wind sectors, e.g. Cu, Ag, Ba, Au and Pb (North-West) and Co and Zr
(South-West). Third elements have been encountered in a single sector only, e.g. Sn, W,
Ce (West), Pt (North), Y (South). One quarter of all non-ferrous heavy metal FP are rich
of Zn, a fact corresponding to the recently published reports for the absence of clear
tendency for Zn-pollution decreasing in European Union since the beginning of the
nineties [11,12]. Analyzing rain waters, one of these authors [12] has confirmed thedecrease in Cu, Pb and Cd pollution that use to be a serious environmental problem in
Czech Republic [13,14].
The West sector is the most abundant in heavy metals (without Fe) as number of
elements (16), distributed in 9% of all studied 1192 FP. This result is expected, having
in mind the prevailing west winds, located in this direction intensive industry, including
several power plants, and heavy traffic. According to [15,16], traffic appears to be
responsible for particles enriched in Ba, Cu, Cr, Pb, Sb and Zn, while Ni and Sn are
being emitted most probably by the industry. This result is supported by the typical
microstructure (rounded shape and small sizes) of some FP from West direction (see
Figure 3).
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275
The number of Fe-rich FP in North sector is relatively low and equal to that of heavy-
metals-rich FP. The percent of spherical particles in all types of FP is the lowest (12-
19%), indicating smaller contribution of industrial high-temperature burning processes
to the atmosphere pollution. Eleven different heavy metals (except Fe) have been
detected in four samples analyzed.
The East sector is characterized by the lowest amount and variety of heavy metal FP (3,
excluding Fe-rich ones, 3% of 97 studied FP). This concentration is up to 3-5 times
lower than in the other sectors. Only 3 particles (enriched in Cr, Mn and Ni) have been
found there. Although on the base of one analyzed sample only it is difficult to conclude
that pollution episodes from East are rare, it seems so.
The most interesting results have been obtained from the analysis of FP from the South
sector, where heavy metal FP (excluding Fe-rich ones) cover 16% of all studied FP
(188) (see Table 1), and seven different heavy metals have been detected (see Fig. 1) in
only two samples. This fact is supported by the greatest concentration of spheres (30%)found in all types of FP in the South samples (see Table 1). The spherical particles in
Fe-rich FP reach 41%, and 47% in heavy - metals bearing particles. These
microspheres, resulting usually from high-temperature combustion processes, oftencontain toxic elements, condensed on their surfaces [17,18] that could be readily
extracted in acidic soil solutions or in the lung.
In conclusion, solid particles, caught by fog, could be used successfully in air pollution
monitoring – especially those, enriched in heavy metals that can act as valuable markersfor industrial contamination of the atmosphere.
ACKNOWLEDGEMENTS
The participation in SGEM-2010 has been realized with the financial support of ProjectTK-X-1713 funded by Bulgarian Ministry of Education and Science.
REFERENCES
[1] Carmichael G.R., Sandu A., Chai T., Daescu D.N., Constantinescu E.M.& Tang Y.Predicting air quality: Improvements through advanced methods to integrate models and
measurements, J. Comput. Physics, vol 227, pp 3540–3571, 2008.
[2] Querol X., Alastuey A., Viana M.M., et al., Source origin of trace elements in PM
from regional background, urban and industrial sites of Spain, Atm. Envir., vol 41, pp7219–7231, 2007.
[3] Reist P.C., Introduction to aerosol science, Macmillan Publ. Company,London,1984.
[4] Jambers W., De Bock. & Van Grieken R., Application of micro-analysis toindividual environmental particles, Fresenius J. Anal. Chem. vol 355, pp 521-527, 1996.
[5] Laskin A., Cowin J.P. & Iedema M.J., Analysis of individual environmental
particles using modern methods of electron microscopy and X-ray microanalysis, J.
Electron Spectroscopy and related Phenomena, vol 150, pp 260-274, 2006.
[6] Stoyanova V., Tsacheva Ts. & Marinov M., Technogenic inhalatory size particles
from ground atmosphere of urban and rural environment – comparative elemental and
7/18/2019 2010 SEM-EDX Identification of FP
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morphological analysis, J. Intern. Res. Publ.: Ecology & Safety, vol 1, 2006,http://ecology-safety.ejournalnet.com/volume-1/ecology-1-1.swf
[7] Stoyanova V., Marinov M., Tsacheva Ts. & Shoumkova A., Heavy-metal elements
distribution in individual fly-ash particles with respiratory size, in Nanoscale
Phenomena and Structures, Ed. Kashchiev D., Prof. M. Driniov Publ. House, Sofia, pp
337-340, 2008.
[8] Fisak J., Tesar M., Rezacova D., Elias V., Weignerova V. & Fottova D., Pollutant
concentrations in fog and low cloud water at selected sites of the Czech Republic,
Atmospheric Research, vol 64(1-4), pp 75-87, 2002.
[9] Fisak J, Stoyanova V., Tesar M., Petrova P., Daskalova N., Tsacheva Ts. & Marinov
M., The pollutants in rime and fog water and in air at Milesovka Observatory (CzechRepublic), Biologia, vol 64(3) pp 492-495, 2009.
[10] Fisak J., Stoyanova V., Chaloupecky P., Rezacova D., Tsacheva Ts., Kupenova T.
& Marinov M., Soluble and Insoluble Pollutants in Fog and Rime Water Samples, Soil& Water Res. vol 4/Special Issue 2, pp S123–S130, 2009.
[11] Vile, M. A., Wieder, R. K., & Novák M., 200 years of Pb deposition throughout the
Czech Republic: Patterns and sources, Envir. Sci. Technol., vol 34, pp 12–21, 2000.
[12] Manczyk H., The Black Triangle: Reducing Air Pollution in Central Europe,
http://www.energy.rochester.edu/pl/blacktriangle/
[13] Stevens R.K., Pinto, J.P., Willis, R.D., Mamane, Y., Novak J.J. & Benes J.,
Monitoring and Modeling Methods for Air Pollution Control Strategies: A Case Study
in the Northwest Czech Republic, in: Allergini I., De Santis, F. (eds.) NATO ASI
Series. Partnership Sub-Series. 2. Enviroment -vol.8 Urban Air Pollution, Springer-
Verlag, Berlin, Heidelberg, pp. 151-166, 1996.
[14] Pinto J.P., Stevens R.K., Willis R.D., Kellog R., Mamane Y., Novák, J., et al.,
Czech air quality monitoring and receptor modeling study. Environmental Science &
Technology, vol 32, pp 843–854, 1998.
[15] Deboudt K., Flament P. & Bertho M.–L., Cd, Cu, Pb and Zn in atmospheric wet
deposition at coastal station in Western Europe, Water, Air, and Soil Pollution, vol 151, pp 335-359, 2004.
[16] Manno E., Varrica D. & Dongarra G., Metal distribution in road dust samples
collected in an urban area close to a petrochemical plant at Gela, Sicily, Atmospheric
Environment, vol 40, pp 5929–5941, 2006.
[17] Stoyanova V., Tsacheva Ts., Shoumkova A. & Marinov M., Comparative SEM and
EXMA analysis of heavy metal fly ash particles from power plants “Varna”,
“Bobovdol” and ”Maritza-Iztok I”, Bulgaria, in Scientific publications 2005, Ecology,
Scientific articles, vol III, Book 3, Eds. N. Riibalskij, V. Nenov, Science Invest Ltd.-
branch Burgas, Bulgaria, 2005, p.201-218, Proceedings of Papers and Posters in the CD
form, ISBN 954-9368-07-6,
[18] Shoumkova A. & Stoyanova V., Trace elements in fly ashes from “Varna”, “Bobov
dol”, “Maritza Iztok I”, “Maritza ”, „Republika” and “Rousse Istok” power plants,Bulgaria, in Modern Management of Mine Producing Geology and Environmental
Protection, vol 1, pp 349-357, 2006.