mercury, copper and zinc contamination in soils and fluvial sediments from an abandoned gold mining...
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ORIGINAL ARTICLE
Mercury, copper and zinc contamination in soils and fluvialsediments from an abandoned gold mining area in southern MinasGerais State, Brazil
Ricardo Cesar • Silvia Egler • Helena Polivanov •
Zuleica Castilhos • Ana Paula Rodrigues
Received: 4 June 2009 / Accepted: 30 October 2010 / Published online: 17 November 2010
� Springer-Verlag 2010
Abstract Mercury, zinc and copper contamination was
evaluated in soils and fluvial sediments from an abandoned
gold mining site at Descoberto Municipality (southern
Minas Gerais State, Brazil). Metals bioavailability and
potential mobility were studied through physical, chemi-
cal and mineralogical characterization, geoaccumulation
indexes calculations, mercury speciation and determination
of potentially bioavailable contents of zinc and copper.
Values of pH were in the neutral range, while organic
matter concentrations were very low. Mineralogical char-
acterization, in the total samples, indicated the presence of
quartz, kaolinite and gibbsite for all samples. Total mer-
cury, zinc and cooper concentrations were higher than the
limits recommended by Brazilian documents. Geoaccu-
mulations indexes revealed that most of the sediment
samples were low to moderately polluted by zinc and
copper, while just one sample was very strongly polluted
by mercury. Mercury speciation revealed the predomi-
nance of the elementary form for all samples, and low
concentrations for exchangeable, strongly bound and
residual fractions. Zinc and copper behavior was strongly
controlled by iron and aluminum concentrations, while
their bioavailable contents were very low in comparison
with the total concentrations.
Keywords Heavy metals � Bioavailability � Soils �Fluvial sediments � Gold mining
Introduction
Over the last decades, heavy metals contamination has
become an extremely important subject for the scientific
community, due to its diverse damage functions on the
environment. Anthropogenic contamination sources are
usually related to inadequate management of domestic
wastes, chemical, petrochemical, metallurgical and mining
industries, as well as agrochemicals application (Solomons
and Forstner 1984). Important lithogeochemical sources
are associated with hydrothermal deposits and weathering
of sulfide-bearing rocks (Reimann and Garret 2005).
Another potentially strong geogenic source is the volcanic
eruptions, which may liberate high concentrations of heavy
metals to the atmosphere (Matschullat 2000).
The biogeochemical behavior of heavy metals in the soil
and fluvial sediments is related to physical, chemical and
mineralogical properties of those compartments, such as
pH, organic matter content, oxidation potential, electric
conductivity, clay minerals, Fe and Al oxi-hydroxides and
texture (Yin et al. 1996; Hylander et al. 2000; Abollino
et al. 2007). Distinct sources of pollution associated with
specific chemical forms can also affect those processes
(Katz and Salem 1993; Peakall and Burger 2003; Peijn-
enburg and Jager 2003). The understanding of such
R. Cesar (&) � S. Egler � Z. Castilhos � A. P. Rodrigues
Laboratorio de Ecotoxicologia Aplicado a Industria Mınero-
Metalurgica, Servico de Desenvolvimento Sustentavel,
Centro de Tecnologia Mineral, CETEM/MCT, Av. Pedro
Calmon, 900. Cidade Universitaria, Rio de Janeiro, RJ, Brazil
e-mail: [email protected]
R. Cesar � H. Polivanov
Departamento de Geologia, Setor de Geologia de Engenharia
e Ambiental, CCMN-Instituto de Geociencias, Universidade
Federal do Rio de Janeiro, UFRJ, Av. Athos da Silveira Ramos,
274-Cidade Universitaria, Rio de Janeiro, RJ, Brazil
A. P. Rodrigues
Departamento de Geoquımica Ambiental, Instituto de Quımica,
Universidade Federal Fluminense, UFF, Outeiro Sao Joao
Baptista, s/n. Centro, Niteroi, Rio de Janeiro, RJ, Brazil
123
Environ Earth Sci (2011) 64:211–222
DOI 10.1007/s12665-010-0840-8
mechanisms is extremely important for determining
mobility, availability and toxicity of those elements in the
environment (Caussy et al. 2003), as well as to assess their
risks on human health and biota.
Most of critical areas of mercury (Hg) pollution are
associated with its use in the gold extraction. Hg liberated
during such processes can escape to the atmosphere, and
thus deposit on soils and fluvial systems (Roulet and
Lucotte 1995; Wasserman et al. 2003). Hg presence in the
aquatic system has a particular importance due to its high
potential biotransformation to methylmercury, which is
neurotoxic, teratogenic and much more toxic than the
inorganic forms (WHO 1990; Castilhos et al. 2001; Ohriel
et al. 2008).
In gold mining areas, during gravitic concentration
processes, other chemical elements with high density, such
as zinc (Zn) and copper (Cu), can also be concentrated,
generating geochemical anomalies and contamination hot
spots (Rodrigues-Filho and Maddock 1997). Important
sources of Zn and Cu pollution are also related to fungi-
cide, pesticides and herbicides applications, which usually
contain high levels of Zn salts and Cu arsenates (Gimeno-
Garcıa et al. 1996; Sharma et al. 2007). On the other hand,
Zn and Cu play a crucial role in the metabolism of many
organisms (Sharma et al. 2007). Damages on biota are
usually associated with the exposure to high concentrations
(Lukkari et al. 2005).
The identification of abandoned mines and their passives
is a challenge and one of the most important priorities for
environmental authorities in the Minas Gerais State
(southeastern Brazil). In the 19th century, Minas Gerais
was extensively explored by gold mining activities and, as
consequence, there are still many non-identified abandoned
passives and contamination hot spots, especially in the Iron
Quadrangle region (Matschullat et al. 2000; Mello et al.
2006; Windmoller et al. 2007). In this respect, indiscrim-
inate uses of Hg are historically well documented in Minas
Gerais (Windmoller et al. 2007), especially in small-scale
gold mining sites for processing alluvial deposits. In the
Brazilian Amazon, e.g., residues from abandoned gold
mining sites can contain more than 4.4 mg/kg of Hg
(Yallouz et al. 2008). Leaching and erosion processes can
mobilize such materials, contaminating surrounding soils
and aquatic ecosystems.
Descoberto Municipality could be used as good general
model for subsiding the understanding of impacts related to
old gold mining activities and contamination hot-spots in
southeastern Brazil. Descoberto represents, at a small-scale,
an excellent example of an abandoned gold mining site in
Minas Gerais, since it presents many similarities with the
activities historically performed in the Iron Quadrangle
region. Contaminated lands by old mining activities are
nowadays occupied by rural populations, besides being
widely used in the agriculture and for providing drinking
water. In addition, important ecosystems (Mata Atlantica
forest) were highly degraded by mining activities, and its
conservation strongly depends on the characterization of
contamination hot spots on the surrounding areas.
This paper proposes the study of the bioavailability and
potential mobility of Hg, Zn and Cu contamination in soil
and fluvial sediments from an old gold mining site in
southern Minas Gerais State, Brazil.
Materials and methods
Study area
In the early 19th century, rural areas of Descoberto
Municipality (southern Minas Gerais State, Brazil—
21�2703600S, 42�5800400W, 620 m elevation) were submit-
ted to gold extraction, using rudimentary techniques of
mineral processing. In 2002, local population detected
metallic Hg presence on soils surface, and in 2005 a small
critical area of contamination (with 8,000 m2) was inter-
dicted by public institutions of research (Branco et al.
2005). A small creek, known locally as Corrego Rico,
drains this critical perimeter (Fig. 1) and it is a tributary of
Paraıba do Sul River Basin, one of the most important
rivers of southeastern Brazil. Until its interdiction, this
critical area of contamination used to submit to livestock
and agricultural activities. In this area, some authors
determined total Hg concentrations in soils, sediments and
plants (Branco et al. 2005; Carvalho-Filho et al. 2005;
Egler et al. 2008; Cesar et al. 2008). Until this moment,
Cesar et al. (2008) were the only authors who determined
methylmercury, zinc and copper contents in distinct gran-
ulometric intervals of a soil sample and in earthworms
(Eisenia andrei) exposed to such materials. Thus, those
previous works basically involved preliminary mappings of
Hg contamination and some initial studies of ecotoxicity.
Zn and Cu distribution and speciation data, e. g., were not
the most important interests of such researches.
Descoberto Municipality is located at a transition area
between two well-defined geological unities: Complexo
Juiz de Fora and Megassequencia Andrelandia. The critical
contamination perimeter is located on the gneissic rocks of
Megassequencia Andrelandia, whose essential mineralogy
is composed by plagioclase, potassic feldspar, grenada,
quartz, biotite, sillimanite, and orthopyroxene. These rocks
consist in the parent material for the soils, which are fre-
quently transported through the slopes.
Descoberto also has expressive bauxite deposits, now-
adays explored by Companhia Brasileira de Alumınio
(CBA). Branco et al. (2005) report the existence of gold
from primary origin associated with thermal events, while
212 Environ Earth Sci (2011) 64:211–222
123
in the 19th century gold alluvial deposits were widely
explored.
Samples
Sampling campaign was performed in July/2007. Sampling
point’s selection was based on a preliminary Hg contami-
nation map, emitted by Branco et al. (2005), and the
sampling collection was preferably performed in critical
areas of contamination (Fig. 1). Soil and fluvial sediments
were collected superficially (20 cm), since Branco et al.
(2005) indicated that Hg contamination was restricted to A
horizon (the top layer of the soil profile). 22 samples (11
soils and 11 sediments) were collected. In the field, sam-
ples were maintained under a temperature of about 5�C
immediately after the sampling, and at the laboratory they
were air dried and disaggregated. Afterwards, samples
were fractioned using nylon sieves of 1,700 lm (in order to
remove stones, roots and other larger particles), homoge-
nized and sent to chemical and mineralogical analysis.
In order to study the influence of distinct grain sizes in
the Hg distribution, samples were again fractioned using
sieves of 75, 150 and 180 lm. Thus, the following gran-
ulometric intervals were generated: 1,700–180, 180–150,
150–75 lm and \75 lm.
Determination of pH and organic matter
pH was measured in water (1:2.5—soil:water), according
to EMBRAPA (1997) procedures. Organic carbon contents
were quantified by elementary analysis, using LECO SNS-
2000 equipment. Organic matter concentrations were
obtained through the multiplication between organic car-
bon content and a factor of 1,724 (EMBRAPA 1997).
Mineralogical characterization
The identification of mineral groups was performed by X-ray
diffraction. The X-ray Diffractograms (XRD), obtained by
powder method, was collected on a Bruker-D4endeavor
Soil sampling points
Sediment sampling points Marked area: interdicted perimeter
Fig. 1 Geographical localization of Descoberto Municipality (MG, Brazil), including soils and fluvial sediments sampling points
Environ Earth Sci (2011) 64:211–222 213
123
equipment with radiation Co Ka (35 mA kV/40). The
qualitative interpretations of the spectrum were made by
comparison with the standards contained in the database
PDF02 (ICDD), Bruker software DiffracPlus.
Mercury determination
Total mercury (HgT) determination was performed using
LUMEX equipment (R A 915 ?), an atomic absorption
coupled to the thermodesorption technique. To guarantee
the quality of results, samples were simultaneously analyzed
with certified materials (NIST 2709 San Joaquin Soil).
Hg speciation followed the method proposed by Lechler
et al. (1997), which was only applied to the \75 lm
fraction. This method firstly consists in the heating of the
sample under a temperature of 180�C. The difference
between HgT and Hg determined in this sub-sample cor-
responds to metallic Hg concentration. Such sub-sample is
submitted to an extraction using MgCl2 (0.05 M), for
determining exchangeable Hg fraction. After that, the res-
idue of previous step is extracted using an acid solution
composed by HCl (0.5 M), and Hg concentration deter-
mined in solution corresponds to strongly bound fraction.
The difference between HgT and the sum of the other
geochemical phases corresponds to residual fraction.
Zinc, copper, iron and aluminum determination
Total zinc, copper, aluminum and iron analysis (ZnT, CuT,
AlT and FeT) was performed using 1 g of sample, followed
by an acid digestion with a mixture composed by
HF:HCl:HClO4 (2:1:1), and subsequent determination by
atomic absorption (Varian, Spectra 55b). To guarantee the
quality of results, chemical analyses were made in tripli-
cate and compared with certified samples (NIST 2709 San
Joaquin Soil).
Potentially bioavailable concentrations of zinc and copper
were quantified using one gram of sample (\75 lm fraction),
and an acid extraction with 25 mL of HCl (0.1 mol/L),
according to the methodology described in DePaula and
Mozeto (2001). After adding such solution, samples were
shaken during 2 h, centrifuged and metals in solution were
determined by ICP-MS (Jobin–Yvon, Ultima 2).
Evaluation of contamination intensity
Metal contamination levels were evaluated through com-
parison with Brazilian documents proposed by the Envi-
ronmental Company of the Sao Paulo State (CETESB
2005) and the National Council for the Environment
(CONAMA 2004), for soils and fluvial sediments quality,
respectively (Table 1). The quantitative assessment of
metal contamination in sediments was performed through
Geoaccumulation Indexes (IGEO) calculations, using
background values determined in the standard shale
(Muller 1979) (Eq. 1) and total metal contents in the
\75 lm fraction. The IGEO has been traditionally used for
many authors (Rodrigues-Filho and Maddock 1997; Martin
2004; Ruilian et al. 2008), and the results consist of good
parameters for future comparisons. This index varies
between 0 and 6 units and allows classifying the samples in
different levels of contamination (Table 2).
Rodrigues-Filho et al. (2002), when describing a Holo-
cene climatic transition in southeastern Brazil, quantified
0.350 mg/kg of HgT in allogenic sediments, dating
8,000 ± 50 14C yr B.P, from cores collected in the Silvana
Lake (Minas Gerais State). Since there were no mining
activities in such time, Hg geoaccumulation indexes were
calculated according to this regional geochemical back-
ground for the Minas Gerais State. It is also important to
note that Branco et al. (2005) and Rodrigues-Filho et al.
(2002) quantified total mercury contents in groundwater
samples in the Descoberto and Lake Silvana regions, and
found concentrations lower than the detection limits. Thus,
those sediments are free from groundwater contamination
IGEO ¼ Log2Me=NBNMe ð1Þ
Table 1 Mercury, zinc and copper concentrations values recommended by CETESB (2005) and CONAMA (2004) for soil and aquatic
sediments quality
Toxic metals Values recommended for soils quality (CETESB 2005) Values recommended for aquatic
sediments quality (CONAMA 2004)
Reference limit
(mg/kg)
Prevention limit
(mg/kg)
Agricultural intervention
limit (mg/kg)
Level one
(mg/kg)aLevel two
(mg/kg)b
Mercury 0.05 0.5 12 0.17 0.486
Zinc 60 300 450 123 315
Copper 35 60 200 35.7 197
a Limit of low probability of adverse effects on biotab Limit of high probability of adverse effects on biota
214 Environ Earth Sci (2011) 64:211–222
123
where, Me is the metal concentration in the sediment and
NBNMe is the metal geochemical background in the standard
scale (Hg = 40 mg/kg; Zn = 95 mg/kg; Cu = 39 mg/kg).
Statistical analysis
In order to identify possible affinities between heavy
metals and geochemical supports (iron, aluminum and
organic matter), Pearson’s product-moment correlation
coefficient and linear regression analysis were performed
using the program Statistica for Windows.
In order to evaluate significant differences among mer-
cury concentrations in distinct granulometric fractions,
Wilcoxon matched pairs test was performed.
Results
Physical, chemical and mineralogical characterization
Granulometric analysis indicated that soils and sediments
were extremely coarse, since the 1,700–180 lm fraction
corresponded, in average, to 76 and 70% of the granulo-
metric distribution, respectively (Table 3). Determination
of pH in soils and fluvial sediments revealed values
between 5.5 and 7.9 units. Organic matter contents were
between 0.3 and 3.0% (Table 3).
The mineralogical characterization, in the total samples,
indicated the presence of quartz, kaolinite and gibbsite for
all samples (Tables 3 and 4). Sillimanite and microcline
were only detected for two samples (SD-08 and SL-03)
(Figs. 2, 3).
Evaluation of contamination intensity
CuT contents in soils indicated that about 18% of samples
were below the quality reference limit (CETESB 2005)
(Table 3). ZnT concentrations were higher than reference
limit for all the samples, and lower than prevention limit.
In comparison with Cu and Zn, Hg contamination levels
were more intense, since 64 and 27% of samples were
higher than the prevention and reference limits proposed by
CETESB (2005), respectively.
Determination of CuT and HgT in sediments denoted
that about 82 and 27% of samples, respectively, were
higher than the ‘‘Level One’’ established by the Brazilian
legislation (CONAMA 2004), while only one sample was
higher than such level for ZnT (Table 3). Geoaccumulation
indexes (IGEO) of CuT and ZnT indicated that about 91
and 82% of the sediments were in the ‘‘class 1’’, respec-
tively. The other samples were in the ‘‘class 0’’ (Table 3).
The highest IGEO class (6) was obtained for HgT in only
one sample, while two samples were in the ‘‘class 1’’.
Biogeochemical behavior of mercury
Hg determination in distinct grain sizes revealed the
existence of an affinity between particle size and Hg
retention, since the finest fraction indicated much higher
HgT contents in comparison with coarse ones (Table 4,
p = 0.003). In the soils, e.g., although the finest fraction
(\75 lm) only represents about to 6.3% of the granulo-
metric distribution, it fixes around 35% of the HgT
(Table 4). No significant differences were detected among
the coarse fractions.
Hg speciation denoted the predominance of the metallic
form in all samples (Table 4—in average, 95 and 78% of
the HgT, in soils and sediments, respectively). Strongly
bound, exchangeable and residual Hg concentrations were
extremely low (Table 4). In comparison with the soils, Hg
contamination in the sediments seems to be lower (soil Hg
average = 3.29 ± 3.98 mg/kg; sediment Hg average =
0.14 ± 0.06 mg/kg). No significant relationships between
HgT and AlT/FeT/organic matter were detected.
Biogeochemical behavior of zinc and copper
In the soils, significant positive relationships were detected
between zinc/copper and some geochemical supports: (1)
total Cu and Fe (y = 6.771 ? 6.574x, p = 0.0004,
R2 = 0.77); and (2) total Zn and Fe (y = 7.028 ? 13.686x,
p = 0.002, R2 = 0.69). In the sediments, positive rela-
tionships were observed between: (1) total Cu and Fe
(y = 20.447 ? 3.109x, p = 0.006, R2 = 0.58); and (2)
total Cu and Al (y = 23.277 ? 2.541x, p = 0.005;
R2 = 0.74).
The determination of bioavailable concentrations of Zn
and Cu indicated values about 1% of the total contents
(Table 4). Positive correlations between total concentra-
tions of Zn and Cu were detected in soils (r = 0.88) and
sediments (r = 0.77). No significant relationships were
Table 2 Geoaccumulation Indexes (IGEO) of heavy metals in sedi-
ments of Reno River (Germany)
Intensity of pollution Accumulation in the
sediment (IGEO)
IGEO’s
classes
Very strongly polluted [5 6
Strongly to very strongly polluted [4–5 5
Strongly polluted [3–4 4
Moderate to strongly polluted [2–3 3
Strongly polluted [1–2 2
Low to moderately polluted [0–1 1
Practically non-polluted \0 0
Adapted from Muller (1979)
Environ Earth Sci (2011) 64:211–222 215
123
Ta
ble
3P
hy
sica
l,ch
emic
alan
dm
iner
alo
gic
alch
arac
teri
zati
on
,an
dto
tal
met
als
con
ten
tsin
soil
s(S
L),
flu
via
lse
dim
ents
(SD
)an
dth
eir
resp
ecti
ve
geo
accu
mu
lati
on
ind
exes
(IG
EO
)cl
asse
sin
the
Ric
oC
reek
,ru
ral
area
of
Des
cob
erto
Mu
nic
ipal
ity
,M
inas
Ger
ais,
Bra
zil
Sam
ple
Gra
nu
lom
etri
cin
terv
als
(%)
pH
OM
(%)
Fe
(%)
Al
(%)
To
tal
Hg
To
tal
Zn
To
tal
Cu
Min
eral
og
y(X
-Ray
)
1,7
00
–1
80
18
0–
15
01
50
–7
5\
75
mg
/kg
IGE
Om
g/k
gIG
EO
mg
/kg
IGE
OQ
TK
LG
BM
CS
L
SD
-06
74
61
19
6.4
20
.53
65
.87
.70
.07
80
13
3a
14
7.6
a1
XX
X
SD
-07
73
41
31
06
.53
0.3
88
9.5
10
.10
.19
5b
09
2.4
14
9.7
a1
XX
X
SD
-05
80
38
96
.83
0.6
17
8.9
10
.70
.12
10
97
14
6.1
a1
XX
X
SD
-04
71
91
19
6.6
81
.43
99
.51
0.8
0.1
07
09
3.9
15
0.9
a1
XX
X
SD
-01
71
41
41
17
.96
2.3
24
4.8
5.3
0.2
37
b1
58
.30
33
.61
XX
X
SD
-02
70
31
51
27
.62
1.4
75
6.2
70
.08
90
10
11
44
.5a
1X
XX
SD
-09
75
61
18
6.6
91
.34
45
.64
.90
.11
88
.81
36
.5a
1X
XX
SD
-03
76
41
01
06
.87
1.1
94
6.6
6.8
0.1
08
09
2.5
13
7.4
a1
XX
X
SD
-08
70
81
21
06
.45
0.8
47
5.1
5.2
0.1
44
09
6.3
13
9.8
a1
XX
XX
SD
-10
85
10
32
6.6
20
.66
76
.45
.20
.23
7b
69
51
40
a1
XX
X
SD
-11
78
51
16
6.5
30
.65
95
.24
.10
.09
01
9.1
02
7.6
0X
XX
SL
-01
74
61
46
6.5
33
.01
66
.69
.60
.27
4b
–9
2.4
b–
37
.8b
–X
XX
SL
-02
71
71
39
6.0
71
.59
88
.11
1.2
2.4
c–
84
.8b
–4
0.7
b–
XX
X
SL
-03
76
61
17
5.7
72
.18
86
.79
.65
.72
8c
–9
2.7
b–
34
.7b
–X
XX
X
SL
-04
84
10
42
5.5
91
.91
37
.19
.51
.79
5c
–7
5.4
b–
40
.1b
–X
XX
SL
-05
76
81
06
5.6
51
.94
5.4
7.9
4.8
08
c–
73
.8b
–3
3.7
–X
XX
SL
-06
81
10
45
6.1
22
.17
29
.69
.95
.49
c–
14
1b
–6
2.7
c–
XX
X
SL
-07
75
91
15
6.1
82
.52
56
.19
0.8
35
c–
80
.9b
–3
2.8
–X
XX
SL
-08
70
51
51
06
.15
2.2
21
6.7
8.4
13
.45
d–
82
.7b
–3
0.6
–X
XX
SL
-09
77
61
25
5.5
72
.56
25
.89
.20
.74
7c
–7
2.5
b–
35
.3b
–X
XX
SL
-10
78
51
16
5.9
72
.58
96
.91
0.6
0.4
34
b–
80
.6b
–3
8.5
b–
XX
X
SL
-11
72
61
48
6.1
52
.49
7.3
10
.60
.28
4b
–9
0.1
b–
40
.2b
–X
XX
Sed
imen
tsa
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rder
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om
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uth
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org
anic
mat
ter,
QT
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artz
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illi
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edim
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y—
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Hig
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refe
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than
inte
rven
tio
n
216 Environ Earth Sci (2011) 64:211–222
123
Ta
ble
4T
ota
lm
ercu
ryin
dis
tin
ctg
rain
size
s,m
ercu
rysp
ecia
tio
n(\
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lmfr
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on
),an
db
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ble
and
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pp
eran
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nc
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tsin
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75
lm
frac
tio
nin
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SD
-06
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56
0.1
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37
0.2
20
0.1
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0.0
25
0.0
26
0.0
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16
0.9
31
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90
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78
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0.1
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0.3
21
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66
0.0
31
LD
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.02
41
09
.95
0.7
51
.14
0.3
8
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0.1
21
0.1
47
0.1
63
0.2
30
0.1
65
0.0
32
0.0
34
LD
L1
26
.13
0.6
95
3.9
30
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0.1
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0.1
84
0.1
24
0.0
40
0.0
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LD
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95
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0.1
30
0.2
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0.3
27
0.5
43
0.4
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0.0
34
0.0
30
0.0
22
70
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0.3
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0.6
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0.0
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73
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0.1
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15
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0.5
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4.8
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0.0
85
0.0
86
0.1
79
0.2
25
0.1
85
LD
L0
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DL
11
4.7
80
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46
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0.1
6
SD
-08
0.0
63
0.1
22
0.1
63
0.3
23
0.2
65
0.0
25
0.0
19
0.0
14
11
6.5
20
.87
48
.15
0.6
9
SD
-10
0.1
30
1.1
20
1.1
55
2.0
55
1.9
75
0.0
43
0.0
23
0.0
14
10
4.5
10
.55
45
.09
0.4
5
SD
-11
0.0
73
0.1
25
0.1
43
0.3
30
0.2
54
0.0
37
0.0
23
0.0
16
22
.92
0.6
83
3.1
20
.55
SL
-01
0.2
51
0.2
77
0.3
20
0.4
44
0.4
02
0.0
23
LD
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.01
91
06
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0.9
74
3.4
70
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SL
-02
2.1
00
2.4
15
3.0
30
3.9
20
3.8
45
0.0
38
0.0
29
LD
L1
00
.06
0.1
54
2.0
30
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SL
-03
5.3
90
5.4
05
6.5
70
8.3
55
8.1
98
0.0
36
0.0
38
0.0
83
11
1.2
40
.67
48
.64
0.2
3
SL
-04
1.7
25
2.2
70
2.4
75
3.4
95
3.4
25
LD
L0
.03
20
.03
89
2.7
40
.13
43
.32
0.2
1
SL
-05
4.0
75
4.7
00
5.0
10
8.2
95
8.1
65
0.0
35
0.0
23
0.0
72
91
.51
0.2
74
1.7
90
.27
SL
-06
5.5
35
5.4
15
6.7
80
8.0
80
7.9
96
0.0
43
0.0
34
LD
L1
80
.48
0.3
98
0.2
60
.29
SL
-07
0.7
69
0.9
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1.0
00
1.3
33
1.3
04
LD
L0
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4L
DL
97
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0.7
43
9.6
90
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SL
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11
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01
2.5
00
16
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02
4.9
00
24
.79
10
.04
6L
DL
0.0
63
97
.59
0.3
34
6.1
10
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SL
-09
0.6
87
0.7
41
1.0
25
1.2
34
1.1
96
0.0
34
0.0
28
LD
L8
6.2
70
.72
42
.01
0.3
2
SL
-10
0.3
69
0.4
87
0.6
10
0.7
61
0.6
94
0.0
32
0.0
24
0.0
11
96
.72
0.5
44
6.2
00
.31
SL
-11
0.2
72
0.2
91
0.3
76
0.4
97
0.4
05
0.0
43
LD
L0
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91
10
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0.5
54
9.4
50
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Gra
nu
lom
etri
cin
terv
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inl
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LD
Llo
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lim
it
Environ Earth Sci (2011) 64:211–222 217
123
found between ZnT and CuT contents and organic matter
(O.M.). Because bioavailable contents were only deter-
mined in the \75 lm fraction, it was not possible to cor-
relate them with O.M., since the last one was only
quantified in the \1,700 lm fraction.
Discussion
Physical and chemical characterization
Soils and sediments are extremely sandy and revealed
similar textures, suggesting that the first ones are frequently
transported to Rico creek by runoff. This process may favor
the mobilization of contaminated material to the drainage
and, consequently, increase the risk of heavy metal dis-
semination to the neighborhood areas.
The values of pH are in the neutral range and have a low
potential of heavy metals mobilization in the environment.
The concentrations of organic matter were low and can be
attributed to the very sandy texture of these soils and fluvial
sediments, since coarse particles do not fix organic matter.
In addition, the organic matter values are in agreement with
the contents quantified by Palmieri et al. (2005) (between
0.5 and 21.7%) in tropical soils of South America.
Mineralogical characterization
Kaolinite and gibbsite abundance indicates that the envi-
ronment suffered intense weathering process. Gibbsite
presence was expected due to bauxite deposits in the
regional geology, in agreement with high AlT levels
detected in those materials. In fact, Branco et al. (2005)
also determined high amounts of gibbsite in those soils.
The presence of sillimanite and microcline are related to
the mineralogy and weathering of rocks of the Mega-
ssequencia Andrelandia.
In terms of heavy metals bioavailability, the abundance
of gibbsite is a very important point. It is well known that
Fe and Al oxy-hydroxides (including gibbsite) are able to
form stable complexes with heavy metals, decreasing its
mobility and biotic assimilation. Rodrigues-Filho and
Maddock (1997) and Rodrigues-Filho et al. (2002), e.g.,
report the importance of gibbsite in Hg adsorption
Fig. 2 Representative X-ray
diffractogram of a sediment
sample collected in the Rico
Creek, Descoberto Municipalty,
Minas Gerais State (Brazil)
Fig. 3 Representative X-ray
diffractogram of a soil sample
collected into in the rural area of
the Descoberto Municipalty,
Minas Gerais State (Brazil)
218 Environ Earth Sci (2011) 64:211–222
123
processes in fluvial and lake systems, decreasing Hg bio-
availability. Weerasooriya et al. (2003) also describe some
arsenic adsorption mechanisms on gibbsite, under different
physical–chemical conditions, suggesting that such mineral
may play a vital role in the mobility processes, especially
under basic pH values.
Evaluation of contamination intensity
The reference values proposed by CETESB (2005) corre-
spond to the pedogeochemical background determined in
the Sao Paulo, while the prevention values indicate con-
centrations which may provoke damages to terrestrial
biota. Thus, 18% of the samples were higher than the
background limits for CuT. Although all the samples
present concentrations higher than the background levels
for ZnT, the contents do not represent high potential risks
on biota (lower than prevention limit). In fact, Cesar et al.
(2008) and Egler et al. (2008), when testing the ecotoxicity
of those soils using earthworms, indicated the occurrence
of insignificant lethal effects on those organisms. On the
other hand, such authors do not refute the hypothesis of
physiological effects on the exposed worms, since they
were able to bioaccumulate high amounts of metals,
especially Zn.
In respect to Hg, 27% of the samples were higher than
the Sao Paulo background levels (CETESB 2005), while
67% of the soils presented contents able to cause adverse
effects on biota (prevention limit). It is important to
emphasize that Hg is a non-essential metal, and such high
concentrations substantially increase the risks on human
health and biota.
CuT and HgT concentrations in sediments suggest the
existence of high potential ecological risks on fluvial
benthonic biota (higher than level one—CONAMA 2004).
However, those risks must be better investigated by per-
forming ecotoxicological tests, since the standard values
adopted by Brazilian legislation (CONAMA 2004) are
based on the Canadian legislation. Therefore, such values
do not necessarily reflect the dynamism of tropical envi-
ronments, once they were estimated using materials and
bioassays with organisms of temperate climates. Geoac-
cumulation indexes (IGEO) of CuT and ZnT indicated that
most of the sediment samples could be considered ‘‘low to
moderately polluted’’, suggesting a reasonable level of
contamination. In the case of Hg, one sample was classified
as ‘‘very strongly polluted’’, and two samples as ‘‘low to
moderately polluted’’.
In comparison with other Brazilian mining sites, CuT
concentrations in soils were relatively lower than that
obtained in the Formiga creek (between 10 and 136 mg/kg)
at Pocone Municipality, Mato Grosso State (Rodrigues-
Filho and Maddock 1997). On the other hand, ZnT contents
were higher than the concentrations determined in sedi-
ments from the Guarandi creek (between 13 and 84 mg/g)
(Mato Grosso State) (Rodrigues-Filho and Maddock 1997).
In Addition, Hg concentrations in soils were significantly
higher than the contents determined in different regions of
the Brazilian Amazon, but much lower than the contents
quantified in the North Sulawesi mining site, Indonesia
(Table 5). HgT contents in sediments were similar to the
concentrations obtained in the Brazilian Amazon, and
lower than the values determined in the Iron Quadrangle
region (Minas Gerais State) by Windmoller et al. (2007)
(Table 5).
Biogeochemical behavior of mercury
The affinity between Hg and silt–clay fractions is possibly
related to the increase of the contact surface between Hg
and the sample, as well as to a possible kaolinite concen-
tration in the finest fraction (\75 lm). The quantification
of high contents of elementary Hg in soils and sediments in
fact confirms old gold mining activities performed in this
area. Due to its high volatility, it is probable that Hg is
being transferred to the atmosphere, and deposited on the
surrounding areas. In agreement with other gold mining
areas of Minas Gerais State, Windmoller et al. (2007) also
Table 5 Comparisons between mercury concentrations determined at the Descoberto Municipality (Brazil) and contents quantified in other gold
mining sites
Locality Hg (mg/kg)-soils Hg (mg/kg)-sediments Authors
Alta Floresta (southern Amazon) 0.01–0.11 0.4–0.250 Wasserman et al. (2007)
Madeira river basin (Rondonia
State, Brazilian Amazon)
0.041–0.346 0.041–0.340 Lechler et al. (2000)
Iron Quadrangle region (Minas
Gerais State, Brazil)
1.8 (maximum value) 0.04–1.100 Windmoller et al. (2007)
Talawaan river basin (North
Sulawesi region, Indonesia)
59.0 ± 151.6
(Hg average value)
91.0 ± 95.0
(Hg average value)
Rodrigues-Filho et al. (2004)
Descoberto (southern Minas
Gerais State, Brazil)
0.274–13.45 0.078–0.237 This study
Environ Earth Sci (2011) 64:211–222 219
123
quantified very high concentrations of metallic Hg in the
Iron Quadrangle region, suggesting that the atmosphere
could be a very important via of Hg dissemination in that
environment.
The predominance of metallic Hg has particular impli-
cations for this area. The exposure of human populations to
this Hg chemical form can provoke damages to the respi-
ratory, excretory and neurological systems, as previously
indicated by different authors (Drasch et al. 2001; Veiga
et al. 2005; Shandro et al. 2009). In future works, HgT
contents should be determined in urine samples of local
populations, since it is a good indicator of metallic Hg
intoxication (Veiga et al. 2005). Egler et al. (2008) eval-
uated HgT contents in plants from this area, and found high
concentrations in the roots and lower contents in the aerial
parts, thus suggesting low toxicological risks associated
with the ingestion of contaminated leaves (by humans and
neat). On the other hand, it is important to emphasize that
atmospheric Hg deposition on leaves may stimulate its
accumulation through stomata (Rea et al. 2001; Egler et al.
2006), especially due to the high volatility and abundance
of metallic Hg in this area.
Low concentrations of Hg strongly bound and
exchangeable fractions suggest a low potential of Hg oxi-
dation in this environment, in agreement with pH values in
the neutral range, which do not favor such process. The low
contents obtained for the residual fraction indicate a low
contribution of the geology in the contamination.
A marked contrast of contamination intensity between
soils and sediments (much higher pollution levels in the soils)
suggest that geochemical supports may play an important
role in the Hg behavior in soils, decreasing its mobility in
direction to the drainage. However, the results do not indicate
any affinity between Hg and AlT/FeT/organic matter. In
future works, other pedogeochemical parameters will be
investigated in order to evaluate their influences in the
mobility of Hg. On the other hand, it is important to note that
Hg is mainly present in the metallic form, an electronically
stable chemical form which does not necessarily need to be
bound with other geochemical supports to get the stability.
Biogeochemical behavior of zinc and copper
The behavior of Cu and Zn in soils and sediments seems to
be strongly controlled by Fe and Al concentrations, indi-
cating the existence of possible affinities between Fe and
Al oxy-hydroxides and such heavy metals. These affinities
may be associated with the adsorption of Cu and Zn on
geochemical supports (in this case, Fe and Al oxy-
hydroxides), decreasing the potential mobility of those
heavy metals. In this respect, it is important to note the
abundance of gibbsite in those materials, as previously
indicated by the mineralogical characterization.
The low concentrations of bioavailable Cu and Zn in
soils and sediments may be associated with gravitic con-
centration processes, which are able to generate geo-
chemical anomalies of elements with high density (such as
Zn and Cu). It is possible that such positive correlations
between Zn and Cu do not necessarily indicate a relation-
ship of cause and effect, but they suggest a possible com-
mon genesis of Zn and Cu associated with anthropogenic
processes, since sulfide-bearing bedrocks containing Zn
and Cu are not present in the regional geochemistry. Ro-
drigues-Filho and Maddock (1997), when studying the
behavior of Zn and Cu in sediments from a gold mining site
in southern Amazon, found high concentrations of Zn and
Cu, positive correlations between such metals and low
levels of bioavailability. In that work, the authors sug-
gested mechanic mechanisms of concentration (gravitic
concentration processes) for explaining the origin of
anomalous contents of Zn and Cu.
The observation of very low bioavailable contents of Zn
and Cu (in comparison with the total contents) could justify
the absence of positive relationships between organic
matter and total concentrations of Zn and Cu. In fact, Yin
et al. (1996) report that humic substances are able to form
stable chemical complexes with ionic forms of metals
(more bioavailable), which play an important role in the
bioavailability processes. Consequently, the presence of
organic matter may decrease substantially the metal
exchangeable fractions in the soil, even in environments
with low organic matter contents, like the soils of Desco-
berto. In addition, Peijnenburg and Jager (2003) suggest
that Cu is usually more bound to organic carbon than Zn,
and that such process could directly affect the bioavail-
ability of those metals for soil macro-fauna (earthworms),
especially by ingesting contaminated grains.
Conclusions
Hg is predominantly present in the silt–clay fractions and in
its metallic form, which is extremely volatile and may be
easily transferred to the atmosphere. This aspect of Hg con-
tamination suggests a possible existence of other contami-
nation hot spots in the surrounding areas, which must be
carefully investigated in further screening studies. Besides
that, Hg is a highly toxic metal and its abundance substantially
increases the toxicological risks on human health and biota.
The bioavailable contents of Zn and Cu were very low
in comparison their total concentrations, suggesting the
occurrence of low adverse effects on the ecosystem. ZnT
and CuT were strongly controlled by Fe and Al concen-
trations, decreasing the mobility of such metals. In terms of
ecotoxicity, Zn and Cu contamination apparently have a
secondary importance in comparison with Hg levels. On
220 Environ Earth Sci (2011) 64:211–222
123
the hand, Zn and Cu were mainly quantified into the
interdicted perimeter (delimited by Hg levels), and further
investigations in the surrounding areas (other micro-basins)
must also be performed.
Acknowledgments The authors would like to thank the Environ-
mental Foundation of Minas Gerais State (FEAM) and the Centre for
Nuclear Technology Development (CDTN), especially Dr. Peter
Fleming and Dr. Otavio Branco, for their help during the sampling
campaigns. We also thank the geographers Ricardo Sierpe Silva and
Nilo Teixeira for confectioning the sampling points map. Ricardo
Cesar was supported by a scholarship program for graduate students
from the Brazilian National Council for Scientific and Technological
Development (CNPq). Without such financial help, this work could
not be executed.
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