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Assessment of Metallic Pollution along with Geochemical Baseline of Soils at Barapukuria Open Coal Mine Area in Dinajpur, Bangladesh

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A total 42 (5 + 37) soil samples surrounding 4 km2 of Barapukuria open coal mine area were collected to determine the geochemical baseline and concentrations of different metals after digestion with aqua regia. The mean total concentration and geochemical baseline values of Cu, Zn, Pb, Cd and Cr in soil samples were 28.43, 44.83, 20.94, 0.19 and 55.79 μg g−1 , and 20.40, 32.80, 20.47, 0.12 and 42.69 μg g−1 , respectively. Out of 37 sampling stations, 92-100% locations had the values higher for Cu, Zn, Cd and Cr, while it was 65% for Pb, than that of the geochemical baseline value. The deposition of outlet fly ash and waste water may be responsible to increase metal concentrations in surface soils around the coal mining area. Copper, Zn, Cd, Cr and Pb concentrations upto carbonate bound fraction were 2.52-17.12, 2.62-40.67, 0, 1.47-17.62 and 4.53-16.10 μg g−1 , respectively. Zinc, Cu, Cd and Cr were the major pollutants in the surrounding soils of Barapukuria because these metals have contamination factor >1.0 for most sampling stations. Study also revealed moderate pollution level by these metals after calculated Igeo values. According to risk assessment code, although adjacent soils of Barapukuria are contaminated with Cu, Zn, Cd, Cr and Pb but these metals are relatively strongly bound to the soils and are of low risk (<10% for these metals) as regards to mobilization. The study results inferred that if proper attention is ignored, the concentration of metals will increase to intolerable limits that may have severe impacts on the soil environment.
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*Corresponding Author
Asian Journal of Water, Environment and Pollution, Vol. 14, No. 4 (2017), pp. 77–88.
DOI 10.3233/AJW-170038
Assessment of Metallic Pollution along with Geochemical
Baseline of Soils at Barapukuria Open Coal Mine Area in
Dinajpur, Bangladesh
H.M. Zakir*, M.Y. Arafat and M.M. Islam
Department of Agricultural Chemistry, Faculty of Agriculture, Bangladesh Agricultural University
Mymensingh – 2202, Bangladesh
* zakirhm.ac.bau@gmail.com
Received April 26, 2017; revised and accepted September 6, 2017
Abstract: A total 42 (5 + 37) soil samples surrounding 4 km2 of Barapukuria open coal mine area were collected
to determine the geochemical baseline and concentrations of different metals after digestion with aqua regia.
The mean total concentration and geochemical baseline values of Cu, Zn, Pb, Cd and Cr in soil samples were
28.43, 44.83, 20.94, 0.19 and 55.79 µg g–1, and 20.40, 32.80, 20.47, 0.12 and 42.69 µg g–1, respectively. Out
of 37 sampling stations, 92-100% locations had the values higher for Cu, Zn, Cd and Cr, while it was 65%
for Pb, than that of the geochemical baseline value. The deposition of outlet y ash and waste water may be
responsible to increase metal concentrations in surface soils around the coal mining area. Copper, Zn, Cd, Cr and
Pb concentrations upto carbonate bound fraction were 2.52-17.12, 2.62-40.67, 0, 1.47-17.62 and 4.53-16.10 µg
g–1, respectively. Zinc, Cu, Cd and Cr were the major pollutants in the surrounding soils of Barapukuria because
these metals have contamination factor >1.0 for most sampling stations. Study also revealed moderate pollution
level by these metals after calculated Igeo values. According to risk assessment code, although adjacent soils of
Barapukuria are contaminated with Cu, Zn, Cd, Cr and Pb but these metals are relatively strongly bound to the
soils and are of low risk (<10% for these metals) as regards to mobilization. The study results inferred that if
proper attention is ignored, the concentration of metals will increase to intolerable limits that may have severe
impacts on the soil environment.
Key words: Geochemical baseline, metallic pollution, Barapukuria coal mine, Bangladesh.
Introduction
Mining activities are responsible for different types
of serious problem to the environment in all over
the world. Open pit type coal mining activities in
Barapukuria produce huge quantities of solid and liquid
wastes that may be contaminated with different metals.
Furthermore, open pit mine system requires dewatering
and depressurization of the aquifers through continuous
pumping out of water to keep the mine pit dry and keep
secure working conditions (Zaman, 2009). Discharge of
contaminated water from such activities mix with both
surface and ground water, and deteriorate their quality
(Khan et al., 2005; Singh et al., 2008; Singh et al.,
2010; Zakir et al., 2013). This contaminated water is
also responsible for the degradation of soil and aquatic
environment by allowing heavy metals to seep into
the sites (Fang et al., 2003; Coulthard and Macklin,
2003; Xi-Jun et al., 2008). Discharge of untreated
mine water, y ash, waste water and efuents from
different industries are responsible for toxic metallic
contamination in water and agricultural soils. Higher
78 H.M. Zakir et al.
concentration of toxic metals in soils can harmfully
affect crop growth by interfering with metabolic
functions in plants (Monni et al., 2000; Pietraszewska,
2001) and cause changes in the composition of soil
microbial community (Giller et al., 1998; Kurek and
Bollag, 2004), adversely affecting soil characteristics.
Considerable amounts of potentially toxic metals get
into the food chain if crops are grown in such metal
contaminated soils (Agoramoorthy et al., 2009; Naaz
and Pandey, 2010).
Natural variations in concentration for an element in
the surcial environment may refer as its geochemical
baseline (Salminen and Tarvainen, 1997). But the
natural element concentration of a substance is known
as the geochemical background. The baseline represents
the on-the-spot measured concentration of an element
in some sites under anthropogenic activities. Natural
spatial variations in the Earth’s surface materials can
dene using baseline value which is very much useful
for policy makers and others interested in different
environmental issues (Darnley, 1997). The geochemical
baseline may be used as a reference standard to monitor
environmental changes in spite of either natural or
anthropogenic comparative standards or scales (Yanguo
et al., 2001). Hence, the purpose of baseline study is to
take the geochemical picture of an area. Environmental
changes in geochemical landscape can be monitored
using this in future (Eppinger et al., 2001). Usually,
in geochemical environment natural and human made
anomalies coexist. Hence, in environmental impact
appraisal it is important to differentiate anthropogenic
anomaly from natural variation (Chaffee et al., 1997;
Chaffee and Carlson, 1998). Geochemical baselines and
related indices can be used to distinguish anthropogenic
inuence from natural one. Therefore, in the present
study, soil samples collected from surrounding areas
of Barapukuria open coal mine area were analysed
to determine concentrations of different metals and
assess pollution level along with geochemical baseline
of metals.
Study Area
Barapukuria is one among the most important coal
production base of Bangladesh, which is located at
Phulbari Police Station in Dinajpur district. Geological
Survey of Bangladesh (GSB) rst discovered the mine
in 1985 and a treaty was signed between Petrobangla
and a Chinese consortium (M/S China National
Machinery Import and Export Corporation) in 1994, and
accordingly the physical works for implementation of
the project was commenced in June 1996. According to
Barapukuria Coal Mining Company Limited (BCMCL),
it has a proved area of 6.68 square kilometre. The
coaleld has a depth of coal deposit between 118 m and
509 m with an estimated reserve of coal as 390 million
metric ton. There are six coal containing seams (I to VI)
in Barapukuria and among those seams II, IV and VI
are more consistent and important. Furthermore, only
seam VI contained about 90% of the total demonstrated
reserve (Quamruzzaman et al., 2014). Presently coal is
extracted from the mine by multi-slice longwall method
and the thermal power plant, situated in the vicinity of
the study area, is the main user of the produced coal.
The main components of the geology of Barapukuria
coal mine basin are shown in Table 1 and Figure 1.
Materials and Methodology
Collection and Preparation of Soil Samples
Total 37 soil samples were collected from the
surrounding area within a radius of 1 km from the origin
Table 1: Stratigraphic succession of the Barapukuria coal basin (after Quamruzzaman et al., 2014)
Age Group Formation Member Lithology Thickness (m)
Holocene Alluvium Silty clay 1.83
Pleistocene Barind clay
residuum
Clay and sandy clay 10.36
Pliocene Dupi tila Upper Sandstone, pebbly sandstone and clay/mudstone 126.82
Lower Sandstone, claystone and mudstone with silica
and white clay
Permian Gondwana Feldspathic sandstone, carbonaceous
sandstone and shale, ferruginous sandstone,
conglomerates and coal beds
457.32
Precambrian Basement
complex
Diorite, granodiorite, quartzdiorite, granite and
diorite gneiss
14.32
Assessment of Metallic Pollution along with Geochemical Baseline of Soils at Barapukuria Open Coal Mine Area 79
of Barapukuria coal mine. The sampling distance from
one station to another was at least about 100 m (Table
2). Soil samples were taken from 0-30 cm depth and
rapidly lled in airtight polythene bags. From each
location, about 500 g soil sample was collected and the
materials were oven dried at 50°C for 24 h. After drying,
soil particle size was homogenized by grinding in an
agate mortar. Then the samples were sieved (aperture
125 mm) and nally stored in glass bottles for chemical
analyses. Analytical reagent grade quality chemicals
and reagents were used during analysis. Before use, all
glass and plastic ware were soaked in 14% HNO3 for
24 hrs and the washing was completed with Millipore
water rinse.
Collection of Samples for Geochemical Baseline
Study
Five (5) fresh soil samples were collected from the
study area on the basis of an oral questionnaire to the
local people of the area. According to their statement,
ve sites were selected which fulll the criteria, such
as (i) the soil still is in its original condition; (ii) there
is no addition or deletion in the surface soil; (iii) the
lands remain fallow for at least last 20 (twenty) years;
Figure 1: Location of Barapukuria coal mine area, Dinajpur, Bangladesh showing the tectonic
elements and physiographic divisions of Bengal Basin (after Farhaduzzaman et al., 2012).
80 H.M. Zakir et al.
Table 2: Description of locations and basic properties of soil samples collected from Barapukuria open coal mine area,
Dinajpur, Bangladesh
Sample
ID
Location from the
mine
Distance from the
mine (m)
Land type pH EC
S cm–1)
Organic matter
(%)
1 North 100 Medium high land 6.92 74 1.49
2 North 200 Medium high land 6.75 30 1.76
3 North 350 Medium high land 6.84 28 1.75
4 North 700 Medium high land 6.92 29 1.64
5 North 850 Medium high land 6.87 20 1.57
6 North 1000 Medium high land 6.94 29 2.51
7 North-east 500 Medium high land 6.87 26 1.76
8 East 100 Medium high land 6.80 120 1.55
9 East 200 Medium high land 6.70 80 2.25
10 East 350 Medium high land 6.90 86 3.05
11 East 500 Medium high land 6.80 59 2.81
12 East 650 Medium high land 6.82 44 2.90
13 East 750 Medium high land 6.80 40 2.74
14 East 900 Medium high land 6.82 43 2.93
15 East 1000 Medium high land 7.09 276 3.05
16 South 100 Medium high land 6.81 135 0.68
17 South 200 Medium high land 6.90 387 2.35
18 South 350 Medium high land 6.89 200 3.22
19 South 500 Medium high land 6.92 51 2.18
20 South 650 High land 6.80 60 2.42
21 South 750 High land 6.78 65 2.43
22 South 850 High land 6.95 42 2.78
23 South 950 High land 6.77 50 1.76
24 South 1050 High land 6.88 70 1.87
25 West 150 Medium high land 7.05 75 1.75
26 West 250 Medium high land 6.89 96 1.85
27 West 400 Medium high land 6.82 78 2.17
28 West 550 Medium high land 6.87 63 2.51
29 West 750 Medium high land 6.88 70 2.32
30 West 850 Medium high land 6.70 120 2.15
31 West 1000 Medium high land 6.77 422 3.26
32 South-west 100 Low land 6.97 450 2.03
33 South-west 200 Low land 6.90 645 3.24
34 South-west 300 Low land 6.96 500 2.78
35 South-west 400 Low land 6.94 610 3.09
36 South-west 500 Low land 6.93 610 3.20
37 South-east 100 Low land 6.92 477 3.02
Mean 6.87 169 2.35
Range 6.70-7.09 20-645 0.68-3.26
Assessment of Metallic Pollution along with Geochemical Baseline of Soils at Barapukuria Open Coal Mine Area 81
and (iv) the soil is not contaminated by the local people.
From each location three soil samples were collected
upto 60 cm depth and mixed together to get a composite
sample. These samples were used to obtain geochemical
baseline data. Special attention was given for these
samples during processing and analysis to avoid any
sorts of contamination.
Determination of Basic Properties of Soil Samples
The pH and electrical conductivity (EC) were measured
in 1:2.5 soils to water ratio by using a sensION +
PH3 basic benchtop pH meter and sensION + EC5
portable conductivity meter, respectively. Prior to pH
determination, the suspension was allowed to stand
overnight. The wet oxidation method of Walkley and
Black (1934) was used to measure the organic carbon
(OC) present in soil samples.
Determination of Heavy Metals Concentration
in Soil Samples
Total concentrations of heavy metals (Cu, Zn, Pb, Cd
and Cr) in soil samples were determined by using an
atomic absorption spectrophotometer (AAS) (Shimadzo,
AA7000, Japan). The instrument was equipped
with single elements hollow-cathode lamps at the
wavelengths of 324.8, 213.9, 283.3, 228.8 and 357.9
nm, respectively, which was operated at maximum
sensitivity with an air-acetylene ame. Lamp intensity
and bandpass of AAS were used according to the
manufacturer’s recommendations. Exactly 1.00 g of
powdered soil sample was digested with aqua regia
(HNO3: HCl = 1: 3) to determine total concentration
of metal. On the other hand, for the determination of
metal up to carbonate bound fraction, exactly 1.00 g of
powdered soil sample was taken into 200 mL conical
ask followed by the addition of 20 mL of 0.11M
acetic acid. Then the content was stirred for 16 hours
at room temperature (Rauret et al., 1999). All chemicals
and reagents were of analytical reagent grade quality
(Merck, Germany).
Mineralogical Study of Soils
Two (2) air-dried, pulverised and sieved soils, regardless
of the constituent particle size were used in the
mineralogical study. Among these two samples, one
was polluted for most of the metals studied (sample
# 8), and the other was fresh soil sample (collected
for geochemical baseline study). The study was
completed using a D8 Advance Bruker AXS (Berlin,
Germany) X-ray diffractometer (XRD), and technical
specications required for optimal operation were set
according to the manufacturer’s recommendations. The
analyzing radiation was Cu K-alpha with wavelength
of 1.5406 Å (0.15406 nm). X-ray diffractograms were
collected on powder samples within the 2θ range
[2°-70°], with counting for 2s. each 0.02°. The X-ray
diffraction was then attached to the advanced diffract
plus evaluation software through the computer.
Determination of Geoaccumulation Index (Igeo)
The geoaccumulation index (Igeo) values were calculated
for Cu, Zn, Pb, Cd and Cr using formula as introduced
by Muller (1969), which is modied as follows for the
present study,
Igeo = log2 (Cn/Bn)
where Cn is measured concentration of metal in the soil,
and Bn is the geochemical baseline for the same element
which is directly measured in soils of the present study,
and due to this reason, the factor 1.5 introduced by
Muller (1969) was omitted from the above equation.
According to Muller (1969), there are seven grades
or classes of the geoaccumulation index. Class 0
(practically uncontaminated/unpolluted): Igeo < 0; Class
1 (Uncontaminated to moderately contaminated): 0 <
Igeo < 1; Class 2 (moderately contaminated): 1 < Igeo <
2; Class 3 (moderately to strongly contaminated): 2 <
Igeo < 3; Class 4 (strongly contaminated): 3 < Igeo < 4;
Class 5 (strongly to extremely contaminated): 4 < Igeo
< 5; Class 6 (extremely contaminated): Igeo > 5, which
is an open class and comprises all values of the index
higher than Class 5.
Assessment of Pollution Load Index (PLI)
The pollution load index (PLI) was measured in
this study for the surface soils of Barapukuria open
coal mine area in Dinajpur, Bangladesh. According
to Tomlinson et al. (1980), the PLI for a single site
is the nth root of n number of multiplied together
contamination factor (CF) values. The CF and PLI are
the quotient obtained as follows:
CF = CMetal concentration/CBaseline concentration
of the same metal
and
PLI for a site = nth √CF1 × CF2 . . . × CFn,
where n equals the number of contamination factors and
sites, respectively. A number of contamination factors
will be calculated for different heavy metals at each
site. To calculate a site pollution index, the ve highest
contamination factors were selected and then deriving
the fth root of the ve factors multiplied together. A
82 H.M. Zakir et al.
zone or area index can also be calculated in exactly
the same way such as site pollution index (Tomlinson
et al., 1980).
Risk Assessment Code (RAC)
The metals in the soil are bound with different strengths
to the different fractions. The risk assessment code
(RAC), as proposed by Perin et al. (1985), mainly
applies the sum of exchangeable and carbonate bound
fractions for assessing the availability of metals in soils.
If a soil sample can release in these fractions less than
1% of the total metal it will be considered safe for the
environment; 1-10% low risk; 11-30% medium risk;
31-50% high risk and more than 50% of the total metal
has to be considered very high risk/dangerous, which
can easily enter into the food chain.
Results and Discussion
Basic Properties of Soils
Results on pH, EC and organic matter of soils collected
from Barapukuria open coal mine area are presented
in Table 2. The pH value around the study area ranged
from 6.70-7.09 with an average value as 6.87. The
increase in acidity of agricultural soils due to application
of coal mine water seems possible for deposition of
basic cation in soils from the coal mine water whose
basic cation content was considerably high. Maiti and
Ghose (2005) reported that the pH vary from 4.9 to
5.3 in a mining dump site, which is located in Central
Coaleld Limited’s (CCL), North Karanpura, Ranchi,
India. The EC value around the study area varied
greatly from 20-645 µScm–1 and the average value
was 169 µScm–1 (Table 2). The variation of EC among
the sampling sites might be due to the effect of place,
slope, soil condition, irrigation, drainage and others.
The amount of organic matter among the sampling
locations ranged from 0.68 to 3.26% with a mean value
of 2.35%. According to Callesen et al. (2003), the
quantitative relationship between soil organic matter
and temperature, textural class and precipitation has
been documented. In general soil organic carbon pool
is increased both due to precipitation and temperature,
and the increase with mean annual temperature was
more pronounced for coarse-textured soils than for
medium-textured soils.
Assessment of Geochemical Baseline of Metals
Environmentally geochemical baseline is the basis for
distinguishing anthropogenic from natural inuence.
Metallic concentration and basic soil properties obtained
from collected fresh soil samples are presented in Table
3 and their average value is treated as geochemical
baseline data for the study area. The mean total
concentration of Cu, Zn, Pb, Cd and Cr in soil samples
were 20.40, 32.80, 20.47, 0.12 and 42.69 µg g–1,
respectively. The geochemical baselines of elements
depend on geological background, sample collection,
sample grain size and sample treatment (Salminen and
Gregorauskiene, 2000; Miko et al., 1999).
Metal Status in Soils of Barapukuria
Coal Mine Area
Mining activities are the potential source of metals
for surrounding environment of Barapukuria. Total
concentrations of different metals along with the mean
concentration of geochemical baseline value collected
from different locations of Barapukuria open coal mine
area are presented in Figure 2. Total concentration of
Cu, Zn, Pb, Cd and Cr in soil samples varied from
20.28-49.77, 31.64-72.69, 15.14-32.69, 0.155-0.288
and 40.95-75.82 µg g–1, with the mean value of 28.43,
44.83, 20.94, 0.19 and 55.79 µg g–1, respectively. Out
of 37 sampling stations, all locations had the values
higher for Cu and Cd, 34 sites for Zn, 36 stations for
Cr and 24 locations for Pb than that of the geochemical
Table 3: Geochemical baseline values of metals and basic properties of fresh soils of Barapukuria open coal mine
area, Dinajpur, Bangladesh
Sample ID Metal concentration g g–1 ± SD)pH EC
S cm–1)
Organic matter
(%)
Cu Zn Pb Cd Cr
1
2
3
4
5
21.46±1.4
22.31±2.2
17.95±1.2
19.11±2.1
21.16±2.0
32.52±1.6
33.71±2.3
31.22±1.3
32.35±2.6
34.21±2.8
21.01±2.1
21.05±1.6
19.13±1.8
20.12±1.6
21.02±1.2
0.144±0.02
0.101±0.01
0.150±0.02
0.124±0.01
0.105±0.01
43.41±4.1
43.72±3.8
40.95±2.0
42.51±2.2
42.87±3.4
6.79
6.85
6.80
6.86
6.90
76
23
20
16
18
1.01
0.14
1.16
1.75
1.24
Mean 20.40 32.80 20.47 0.124 42.69 6.84 30.6 1.06
Assessment of Metallic Pollution along with Geochemical Baseline of Soils at Barapukuria Open Coal Mine Area 83
baseline value. Mobility and bioavailability of metals
are determined primarily by pH and are enhanced
under acidic conditions (when pH < 4.5). Other factors
controlling mobility of metals in soils include solubility
reactions, sorption reactions and redox conditions
(Smith, 2007). But the soils of Barapukria coal mine
area had pH > 4.5 (Table 2), so metals present in the
study area are not so mobile.
According to Zhai et al. (2009), the strength of
contamination of a metal in a coal mining area depends
on its concentration in coal, its performance during
the combustion of coal and nally its mobility in
surface soils. They also stated the Morupule power
station in Botswana has experienced of more than 30
years of coal mining and more than 20 years of coal
combustion activities and reported that the deposition
of outlet y ash from the coal-red power plant has
increased some heavy metals concentrations in surface
soils around the power station. The Barapukuria coal
power plant is also a coal-red power station, which
consumed approximately 450 thousand tonnes of coal
in a year (BPDB, 2012). High volatile bituminous coal
of Barapukuria is mainly formed by: moisture 10%, ash
12.4%, volatile matter 29.2%, xed carbon 48.4% and
total sulphur 0.53% (BCMCL, 2016). So the deposition
of outlet y ash from the power plant may increase
metal concentrations to the surrounding soils.
The trace element behaviour is mainly controlled
by their vaporization or condensation temperatures
during combustion in the coal based power station, and
the ner particles of y ash possess most of the trace
elements (Linak and Wendt, 1994). Coal that contained
higher concentration of heavy metals, had stronger
small particle association during coal combustion and
were less mobile in surface soils, showed stronger
contaminations in soils around the plant (Zhai et al.,
2009). However, the average metal levels in soils of
Barapukuria open coal mine area were relatively lower
compared with several other mining areas in the world
(Table 4). So it can be inferred from the study results
that the soils of the area has not so far polluted yet, but if
it is continued, the concentration of metals will increase
to unbearable limits, which may create severe impacts
on the soil environment as well as to the food chain.
Mineralogical Composition of Soils
Additional independent information on the mineralogical
composition of the soil sampling site 8 (polluted for
most of the metals studied) and another sample of
geochemical baseline was obtained by XRD analysis
and the results are presented in Table 5. Quartz has
the strongest peak in both the samples at d = 3.35 and
4.26 Å. The next strongest peak was for calcite (d =
1.82 Å) in both the samples. Several clay minerals
such as micas and illites, chlorites and kaolinite
(diffracted peaks at d = 9.89, 1.54, 14.12, 3.56, 2.28
and 1.98 Å) were common in both soils but the peak
intensities for site 8 were comparatively stronger than
the geochemical baseline sample. Besides this feldspar
(anorthite), feldspar/chlorite and bayerite, and iron oxide
and hydroxide group minerals, specically magnetite
and goethite were also common in both soil samples.
It is apparent from Table 4 that the peak intensity for
sampling site 8 was dominant for most of the clay,
carbonate and hydroxide minerals. Several study reports
stated that the presence of different clay minerals are
likely to be the major host of heavy metals in soils
(Islam et al., 2000; Sharmin et al., 2010; Zakir et al.,
2014; Zakir et al., 2015).
Table 4: Average metal concentrations (µg g–1) in collected soil samples of Barapukria open coal
mining area, Dinajpur, Bangladesh compared with other mining areas of the world
Metal HMAaFHCMAbPMAcLCMGdMSSeMCCfSMSgPresent study
Cu 11.2 66.1 34.49 110.51 34- 570 35.4 20- 62* 28.43
Zn 28.5 113.8 78.86 107.06 110- 4023 65.0 100- 250* 44.83
Pb 23.7 20.8 29.32 17.86 27- 2847 22.8 60- 90* 20.94
Cd 0.05 0.10 nd 1.56 Trace to 2.4 nd 0.7- 2.0* 0.19
Cr 29.5 85.26 81.61 37.99 nd 125.2 nd 55.79
HMA = Huainan mining area in China; FHCMA = FuXin-Haizhou coal mining area in China; PMA = Panzhihua mining area in China;
LCMG = Lignite coal mine at Gujarat, India; MSS = Mining sites soil in South Morocco; MCC = Morupule colliery coalmine in Botswana;
SMS = Soils of mining sites in France; nd = not determined and * = With moderate geochemical anomaly.
a Yao et al. (2010); b Xi-Jun et al. (2008); c Yanguo et al. (2002); d Ladwani et al. (2012); e Boularbah et al. (2006), f Zhai et al. (2009);
g Baize and Paquereau (1997).
84 H.M. Zakir et al.
Figure 2: Metal concentrations (μg g–1) in soils collected from Barapukuria open coal mine area in Dinajpur, Bangladesh
along with geochemical baseline concentration.
Assessment of Metallic Pollution along with Geochemical Baseline of Soils at Barapukuria Open Coal Mine Area 85
Table 5: Mineralogical constituents of soil sampling site
8 (polluted for most of heavy metals studied) and the
geochemical baseline
Minerals Angle
(2θ)
d-value
(Å)
Peak intensity (%)
Sample
ID 8
Geochemical
baseline
Quartz 26.59 3.35 100.0 100.0
20.77 4.26 25.8 19.5
Feldspar 27.45 3.23 4.4 6.8
24.04 3.67 3.3 4.2
23.02 3.75 2.6 3.9
21.18 4.14 2.7
Feldspar/
chlorites
31.93 2.82 1.7 2.7
Anorthite 28.54 3.19 3.8 3.9
Micas and
illites
8.93 9.89 4.4 0.6
Chamosite 12.37 7.09 2.5 2.0
Chlorites 60.02 1.54 9.3 5.9
6.21 14.12 1.9 0.1
24.92 3.56 2.1
Biotite/chlorites 19.83 4.46 2.7 3.1
36.46 2.46 8.5 6.0
Kaolinite 39.51 2.28 8.3 5.3
45.63 1.98 4.9 2.0
Muscovite 35.08 2.57 2.3 2.7
Goethite 37.08 2.43 8.5 2.4
Bayerite 40.35 2.23 4.9 4.6
Calcite 50.16 1.82 11.9 8.1
Magnetite 35.07 2.53 2.3 2.7
Assessment of Pollution Level
Index of Geoaccumulation (Igeo)
The geoaccumulation index (Igeo) was used to assess
metal pollution in soils of Barapukuria open coal mine
area in Dinajpur, Bangladesh. The calculated Igeo for
metals of soils of the study area and their corresponding
contamination intensity are illustrated in Figure 3.
Out of 37 locations, 92-100% sites showed positive
Igeo values (0 < Igeo < 2) and exhibited Igeo class 1-2,
indicating moderately polluted soil quality for Cu, Zn,
Cd and Cr. On the other hand, 59% (22 sites) locations
showed positive Igeo values (0 < Igeo < 1) and exhibited
Igeo class 1, indicating unpolluted to moderately polluted
soil quality for Pb. Finally, it can be inferred from the
Igeo calculation that the soils of Barapukuria open coal
mine area are moderately polluted by Cu, Zn, Cd and
Cr, and the source of pollution at the study area are
coal mining activities and its use at nearby coal-red
power station.
Figure 3: Geoaccumulation index (Igeo) of metals at
different sampling sites of Barapukuria open coal mine
area in Dinajpur, Bangladesh.
Pollution Load Index (PLI)
While computing the contamination factor (CF) for
pollution load index (PLI) of soils of the study area,
average geochemical baseline value for each metal
obtained by this study was considered as background
concentration (Figure 4). The concept of a baseline
is a fundamental issue to the formation of a PLI
(Tomlinson et al., 1980). The PLI values ranged from
1.14 to 1.84 for soil samples collected from 37 locations
of Barapukuria open coal mine area. According to
Tomlinson et al. (1980) the PLI provides a simple and
comparative means for assessing a site quality. If a PLI
value is zero that indicates perfection, a value of one
(1.0) represents only baseline levels of pollutants, and
values >1.0 would indicate progressive deterioration of
the site. So, it can be inferred from Figure 4 that the
PLI for all sampling sites had value higher than 1.0,
which indicates progressing worsening of soil quality
by several metals at Barapukuria open coal mine area.
Risk Assessment Code (RAC)
The code as applied to the present study revealed that
2.52-17.12, 2.62-40.67, 1.47-17.62 and 4.53-16.10%
of total Cu, Zn, Cr and Pb with a mean value of 5.37,
8.25, 9.58 and 6.68%, respectively of the study sites
either is adsorb, exchangeable or carbonate bound
(Table 6). Hence, overall area comes under the low
risk category indicating lower availability from which
these metals cannot be easily leached out for the aquatic
86 H.M. Zakir et al.
environment. But out of 37 locations, 4 for Pb, 14 for
Cr, 5 for Cu and 7 for Zn had >10% of total metal in
upto carbonate bound fraction and therefore those sites
come under the medium risk category, which can easily
enter into the food chain. Due to their inherent toxicity
and availability, metals can pose serious problem to
the ecosystem and can be remobilized by changes in
environmental conditions such as pH, redox potential,
salinity etc. (Salomons, 1995). On the other hand, 0%
of total Cd was found in the same fraction indicating
no risk category or trace amount of availability of this
metal to the aquatic environment (Table 5). However, it
can be concluded from the RAC study that the metals
investigated are relatively strongly bound to the soils of
Barapukuria and are of low risk (<10% of total metal
in upto carbonate bound fraction) category for their
mobilization.
Table 6: Average metal percentage in upto carbonate
bound fraction of soils collected from Barapukuria open
coal mine area and risk assessment code (RAC)
Metal Average percentage of
metal in up to carbonate
bound fraction
Level of
risk on the
basis
of RAC
Range Mean
Copper (Cu) 2.52-17.12 5.37 Low risk
Zinc (Zn) 2.62-40.67 8.25 Low risk
Chromium (Cr) 1.47-17.62 9.58 Low risk
Lead (Pb) 4.53-16.10 6.68 Low risk
Cadmium (Cd) 0 0 No risk
Conclusion
The present study determined the geochemical
baseline and evaluated the heavy metal contents
in soils of Barapukuria open coal mine area in
Dinajpur, Bangladesh. The mean geochemical baseline
concentration of Cu, Zn, Pb, Cd and Cr in soil samples
were 20.40, 32.80, 20.47, 0.12 and 42.69 µg g–1,
respectively. Out of 37 sampling stations, all locations
had the values higher for Cu and Cd, 34 sites for Zn,
36 stations for Cr and 24 locations for Pb than that of
the geochemical baseline value, which may lead to a
potential danger for the environment at the study area.
The PLI and Igeo calculations indicate that the quality of
soils of Barapukuria open coal mine area is deteriorating
and are moderately polluted by Cu, Zn, Cd and Cr. The
study results also signify that the sources of pollution at
the area are coal mining activities and its combustion
at nearby coal-red power station.
Comparing the metal concentration with the other
mining areas of the world, it can be concluded that
the soils of the study area has not so far polluted yet,
but if the activity is continued by ignoring protective
measures, the concentration of metals will increase to
intolerable limits, which may create severe impacts
on the soil environment and nally to the food chain.
Although the association of these metals are relatively
strongly bound to the soils of the study area and under
low risk category for their mobilization after the risk
assessment code, it is highly appreciable to monitor
Figure 4: Contamination factor (CF) for each metal at
each sampling site along with pollution load index (PLI)
of soils in Barapukuria coal mine area in Dinajpur,
Bangladesh.
Assessment of Metallic Pollution along with Geochemical Baseline of Soils at Barapukuria Open Coal Mine Area 87
metal concentrations in surface soils routinely in future
and accordingly to take necessary initiative by the local
authority and government of Bangladesh.
Acknowledgement
This work was partially supported by the Ministry of
Science and Information & Communication Technology,
Government of the Peoples Republic of Bangladesh
under Special Allocation for Science and Technology
for the nancial year 2010-11; Research Grant no. #
39.009.002.01.00.020.2010/ES-14/1822/1(4).
References
Agoramoorthy, G., Chen, F.A., Venkatesalu, V. and P.C.
Shea (2009). Bioconcentration of heavy metals in selected
medicinal plants of India. Journal of Environmental
Biology, 30: 175-178.
Baize, D. and H. Paquereau (1997). Teneurs totals en elements
traces dans les sols agricoles de Seine-et-Marne (France).
Etude et Gestion des Sols, 4(2): 77-94.
BCMCL (Barapukria Coal Mining Company Limited) (2016).
A Company of Petrobangla, Bangladesh. Chowhati,
Parbatipur, Dinajpur, Bangladesh. http://www.bcmcl.org.
bd/. Accessed 24 August 2016.
Boularbah, A., Schwartz, C., Bitton, G. and J.L. Morel (2006).
Heavy metal contamination from mining sites in South
Morocco: 1. Use of a biotest to assess metal toxicity of
tailings and soils. Chemosphere, 63: 802-810.
BPDB (Bangladesh Power Development Board) (2012).
Annual Report 2011-12. Bangladesh Power Development
Board, Dhaka, Bangladesh.
Callesen, I., Liski, J., Raulund-Rasmussen, K., Olsson,
M.T., Tau-strand, L., Vesterdal, L. and C.J. Westman
(2003). Soil carbon stores in Nordic well-drained forest
soils—relationships with climate and texture class. Global
Change Biology, 9(3): 358-370.
Chaffee, M.A. and R.R. Carlson (1998). Environmental
geochemistry in Yellowstone National Park: Distinguishing
natural and anthropogenic anomalies. Yellowstone Science,
6: 29.
Chaffee, M.A., Hoffman, J.D. and R.R. Tidball (1997).
Discriminating between natural and anthropogenic
anomalies in the surcial environment in Yellowstone
National Park, Idaho, Montana, and Wyoming. U.S.
Geological Survey Open-File Report 97-496, v. 16.
Coulthard, T.J. and N.G. Macklin (2003). Modeling long
term contamination in river systems from historical metal
mining. Geology, 31(5): 451-454.
Darnley, A.G. (1997). A global geochemical reference
network: The foundation for geochemical baselines.
Journal of Geochemical Exploration, 60: 1-5.
Eppinger, R.G., Briggs, P.H., Brown, Z.A., Crock, J.G.,
Meier, A., Theodorakos, P.M. and S.A. Wilson (2001).
Baseline geochemical data for stream sediment and surface
water samples from Panther Creek, the Middle Fork of the
Salmon River, and the Main Salmon River from North
Fork to Corn Creek, collected prior to the severe wildres
of 2000 in central Idaho. U.S. Geological Survey Open-
File Report 01-0161, p. 1-20.
Fang, W.X., Huang, Z.Y. and P.W. Wu (2003). Contamination
of the environmental ecosystems by trace elements from
mining activities of Badao bone coal mine in China.
Environmental Geology, 44: 373-378.
Farhaduzzaman, M., Abdullah, W.H. and M.A. Islam
(2012). Depositional environment and hydrocarbon
source potential of the Permian Gondwana coals from the
Barapukuria basin, Northwest Bangladesh. International
Journal of Coal Geology, 90-91(1): 162-179.
Giller, K.E., Witter, E. and S.P. McGrath (1998). Toxicity of
heavy metals to microorganism and microbial processes in
agricultural soils: A review. Soil Biology and Biochemistry,
30(10-11): 1389-1414.
Islam, M.R., Lahermo, P., Salminen, R., Rojstaczer, S.
and V. Peuraniemi (2000). Lake and reservoir water
quality affected by metals leaching from tropical soils,
Bangladesh. Environmental Geology, 39(10): 1083-1089.
Khan, R., Israili, S.H., Ahmad, H. and A. Mohan (2005).
Heavy metal pollution assessment in surface water bodies
and its suitability for irrigation around the Nayevli lignite
mines and associated industrial complex, Tamil Nadu,
India. Mine Water and the Environment, 24: 155-161.
Kurek, E. and J.M. Bollag (2004). Microbial immobilization of
cadmium released from CdO in the soil. Biogeochemistry,
69(2): 227-239.
Ladwani, K.D., Ladwani, K.D., Manik, V.S. and D.S. Ramteke
(2012). Assessment of heavy metal contaminated soil near
coal mining area in Gujarat by toxicity characteristics
leaching procedure. International Journal of Life Sciences
Biotechnology and Pharma Research, 1(4): 73-80.
Linak, W.P. and J.O.L. Wendt (1994). Trace metal
transformation mechanisms during coal combustion. Fuel
Processing Technology, 39: 173-198.
Maiti, S.K. and M.K. Ghose (2005). Ecological restoration
of acidic coal mine overburden dumps—An Indian case
study. Land Contamination and Reclamation, 13(4):
361-369.
Miko, S., Durn, G. and E. Prohie (1999). Evaluation of terra
rossa geochemical baselines from Croatian karst regions.
Journal of Geochemical Exploration, 66: 173-182.
Monni, S., Salemma, M. and N. Millar (2000). The tolerance
of Empetrum nigrum to copper and nickel. Environmental
Pollution, 109: 221-229.
Muller, G. (1969). Index of geoaccumulation in sediments of
the Rhine river. Geojournal, 2(3): 108-118.
Naaz, S. and S.N. Pandey (2010). Effects of industrial
waste water on heavy metal accumulation, growth and
88 H.M. Zakir et al.
biochemical responses of Lettuce (Lactuca sativa L.).
Journal of Environmental Biology, 31: 273-276.
Perin, G., Craboledda, L., Lucchese, M., Cirillo, R., Dotta,
L., Zanetta, M.L. and A.A. Oro (1985). Heavy metal
speciation in the sediments of northern adriatic sea: A
new approach for environmental toxicity determination.
In: Lakkas T.D. (ed) Heavy metals in the environment.
CEP Consultants, Edinburg.
Pietraszewska, T.M. (2001). Effect of aluminium on plant
growth and metabolism. Acta Biochimica Polonica, 48(3):
673-686.
Quamruzzaman, C., Mondol, M.A.M., Ahmed, M.T., Kabir,
S.M.M. and Z. Ahmed (2014). A proposal of open pit
coal mine at the northern part of Barapukuria coaleld,
Dinajpur, Bangladesh. International Journal of Emerging
Technology and Advanced Engineering, 4(3): 482-488.
Rauret, G., Lopez-Sanchez, J.F., Sahuquillo, A., Rubio,
R., Davidson, C., Ure, A. and Ph. Quevauviller (1999).
Improvement of the BCR three step sequential extraction
procedure prior to the certication of new sediment
and soil reference materials. Journal of Environmental
Monitoring, 1: 57-61.
Salminen, R. and T. Tarvainen (1997). The problem of
dening geochemical baselines: A case study of selected
elements and geological materials in Finland. Journal of
Geochemical Exploration, 60: 91-98.
Salminen, R. and V. Gregorauskiene (2000). Considerations
regarding the denition of a geochemical baseline of
elements in the surcial materials in areas differing in
basic geology. Applied Geochemistry, 15: 647-653.
Salomons, W. (1995). Environmental impact of metals
derived from mining activities: Processes, predictions,
prevention. Journal of Geochemical Exploration, 52: 5-23.
Sharmin, S., Zakir, H.M. and N. Shikazono (2010).
Fractionation prole and mobility pattern of trace metals
in sediments of Nomi River, Tokyo, Japan. Journal of Soil
Science and Environmental Management, 1(1): 01-14.
Singh, A.K., Mondal, G.C., Kumar, S., Singh, T.B., Tewary,
B.K. and A. Sinha (2008). Major ion chemistry, weathering
processes and water quality assessment in upper catchment
of Damodar River basin, India. Environmental Geology,
54: 745-758.
Singh, A.K., Mahato, M.K., Neogi, B. and K.K. Singh (2010).
Quality assessment of mine water in the Raniganj coaleld
area, India. Mine Water and the Environment, 29: 248-262.
Smith, K.S. (2007). Strategies to predict metal mobility in
surcial mining environments. In: DeGraff J.V. (ed.),
Understanding and responding to hazardous substances
at mine sites in the western United States: Geological
Society of America reviews in engineering geology. Vol.
XVII. doi: 10.1130/2007.4017(03).
Tomlinson, D.C., Wilson, J.G., Harris, C.R. and D.W. Jeffrey
(1980). Problems in the assessment of heavy metal levels in
estuaries and the formation of a pollution index. Helgoland
Marine Research, 33: 566-575.
Walkley, A. and I.A. Black (1934). An examination of the
Degtjareff method for determining soil organic matter
and a proposed modication of the chromic acid titration
method. Soil Science, 37: 29-38.
Xi-jun, M., Zhao-hua, L. and C. Jian-long (2008). Ecological
risk assessment of open coal mine area. Environmental
Monitoring and Assessment, 147(1): 471-481.
Yanguo, T., Shijin, N., Xianguo, T., Chengjiang, Z. and M.
Yuxiao (2002). Geochemical baseline and trace metal
pollution of soil in Panzhihua mining area. Chinese
Journal of Geochemistry, 21(3): 274-281.
Yanguo, T., Shijun, N., Chengjiang, Z. and L. Yu-chang
(2001). Countermeasures to restore environment and
rehabilitate ecology in the Panzhihua mining industry
base. Sichuan Environment, 20: 31-34.
Yao, D., Meng, J. and Z. Zhang (2010). Heavy metal
pollution and potential ecological risk in reclaimed soils
in Huainan mining area. Journal of Coal Science and
Engineering (China), 16: 316-319.
Zakir, H.M., Islam, M.M., Arafat, M.Y. and S. Sharmin
(2013). Hydrogeochemistry and quality assessment of
waters of an open coal mine area in a developing country:
A case study from Barapukuria, Bangladesh. International
Journal of Geosciences Research, 1(1): 20-44.
Zakir, H.M., Nahid Sultana and Mousumi Akter (2014).
Heavy metal contamination in roadside soils and grasses:
A case study from Dhaka city, Bangladesh. Journal of
Chemical, Biological and Physical Sciences, 4(2): 1661-
1673.
Zakir, H.M., Sumi, S.A., Sharmin, S., Mohiuddin, K.M. and
S. Kaysar (2015). Heavy metal contamination in surface
soils of some industrial areas of Gazipur, Bangladesh.
Journal of Chemical, Biological and Physical Sciences,
5(2): 2191-2206.
Zaman, Z. (2009). Water management in coal mining project:
case study Phulbari. Coal News of Phulbari – Bangladesh.
https://phulbarinews.wordpress.com/2009/07/12/ water-
management-in-coal-mining-project-case-study-phulbari/.
Accessed 20 July, 2016.
Zhai, M., Totolo, O., Modisi, M.P., Finkelman, R.B., Kelesitse,
S.M. and M. Menyatso (2009). Heavy metal distribution
in soils near Palapye, Botswana: An evaluation of the
environmental impact of coal mining and combustion on
soils in a semi-arid region. Environmental Geochemistry
and Health, 31(6): 759-777.
... There is also a higher chance of chronic health exposure by environmental contaminants, as the contaminants are ubiquitous in the coal mining areas . Over the years, several independent studies have been conducted on the soil contamination issue considering several potential environmental and health concerned chemical elements in Barapukuria coal mine (Bhuiyan et al., 2010;Halim et al., 2013;Halim et al., 2015;Hossain et al., 2015;Howladar, 2016;Rahman et al., 2017;Zakir et al., 2017;Habib et al., 2019b;Zakir and Arafat, 2020). All studies are different depending on their specific research goals. ...
... All studies are different depending on their specific research goals. For instance, Bhuiyan et al. (2010), Halim et al. (2013Halim et al. ( , 2015, Zakir et al. (2017), and Zakir and Arafat (2020) determined the concentrations of some selected chemical elements and performed the soil pollution assessment; Hossain et al. (2015) studied the environmental, socio-economic, and ecological impacts of coal mining assessing the neighboring environments, namely air, water, and soil for some chemical elements; Howladar (2016) determined the concentrations of very few elements with a comparison to international guidelines and noticed the impact of subsidence on the social environment due to coal mining; Habib et al. (2019b) studied the natural radionuclides in coal mine-impacted soil and evaluated their radiological risk; and Rahman et al. (2017) determined some relevant chemical parameters to assess the soil quality with respect to agricultural purposes. Most of the previous works employed a limited number of soil pollution evaluation indices and statistical data analysis tools with a small number of parameters to depict the scenario in the vicinity of the Barapukuria. ...
... Sultana et al. (2016) also reported uncontaminated to moderate pollution in the area; however, Bhuiyan et al. (2010) reported that the agricultural soils nearby the Barapukuria area are moderate to heavy polluted with toxic elements. Zakir et al. (2017) found moderate pollution by hazardous elements in soils of the area which are consistent with the present study. Manna and Maiti (2018) also found moderate pollution in the soils of Raniganj Coalfield, India. ...
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... A study evaluating the levels of Cr and some other heavy metals in the soil of the Barapukuria coal mine indicated that the current level of Cr in the soil was high, according to the USEPA (Hossen et al., 2021). Cr (55.79 µg g -1 ) and Pb (20.94 µg g -1 ) levels were relatively higher than other heavy metals in adjacent soils in the Barapukuria coal mine area (Zakir 2017). The concentration of Cr, ranging from 139.02 to 243.38 mg/kg, in the soil of the Barapukuria coal basin and the nearest area was found to be higher than the permissible limit of FAO 1992 (Khan et al., 2017). ...
... 60.87%, 44.9%, and 29.63% of the samples exceed the standard rate of Pb concentration in the mining area, peripheral area, and residence area, respectively. Bhuiyan et al. (2010) show that the concentration of Pb was 43 mg/ kg in the soil of the OSCM sites, which is relatively higher than this study's result of Pb concentration, Zakir et al. (2017) resulted in the level of Cr is 42.69 mg/kg, much lower than the explored concentration of Cr in this study. On the other hand, the level of Pb is 20.47 mg/kg, which is also lower than the analyzed concentration of Pb in this study in the soil of the OSCM sites. ...
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... Previously several studies on the coals from five coal basins in terms of their palynological (Akhtar and Kosanke 2000), petrological, geological, sedimentological (Hossain et al. 2014Bostick et al. 1991;Islam et al. 1992;Bakr et al. 1996;Islam 1998;Imam et al. 2002;Farhaduzzaman et al. 2012;Farhaduzzaman et al. 2013a, b;Islam and Hayashi 2008;Uddin et al. 2016), radiological, thermal and geochemical properties Islam et al. 2011;Haider et al. 2011;Podder et al. 2004) applying HPGe gamma spectrometry, EDXRF, PIXE, LIBS, and INAA techniques and CCRs characteristics and its potential uses (Howladar and Islam 2016) have been carried out. Besides, several studies on Barapukuria soils suggested that it was intensively contaminated with trace elements released from the coal matrix owing to the coal mining activities (Hossain et al. 2015Zakir et al. 2013Zakir et al. , 2017Zakir and Arafat 2020;Bhuiyan et al. 2010b, b;Halim et al. 2015, Halim et al. 2013) employing EDXRF and AAS techniques for environmental studies. ...
... Mine water from Barapukuria Coal mine is discharged to the surrounding paddy fields and water courses without any treatment Howladar and Hasan 2014;Hossain et al. , 2015Sahoo et al. 2016;Howladar 2013Howladar , 2017Halim et al. 2013Halim et al. , 2015Bhuiyan et al. 2010b). Discharge of untreated mine water containing pyrite (FeS 2 ), chalcopyrite (CuFeS 2 ), sphalerite ((Zn, Fe)S) and other common sulfide minerals in coal seams which form sulfuric acid threatened the environment as the water might be acidic which would ultimately contaminate the surface water and soil Zakir et al. 2013Zakir et al. , 2017Khan et al. 2017a, b) (Table 24.14). It may also contain a lot of dissolved HMs like Fe, Mn, some oil, suspended solids, and NH 3 resulting from the use of NH 4 NO 3 based explosives. ...
Chapter
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To represent a comprehensive scenario regarding the coal-mining and coal-fired power plant activities in a developing country (Bangladesh) and to understand the total environmental impacts, potential coal resources of Bangladesh, environmental geochemistry and dispersion of pollutants, eco-toxicological impacts, human health risks as well as socio-economic impacts are evaluated in this chapter. Potential coal reserves along with the future plants are estimated. Technogenic sources of environmental pollutants including environmentally toxic heavy metals, health hazardous raidonuclides, persistent organic pollutants, suspended particulate maters etc are assessed. In doing so, scarce of associated data from coal-mine (Barapukuria, Bangladesh) and Barapukuria coal-fired power-plant (BTPP) of Bangladesh have been reconciled by using and arguing the previous works around the globe. Immense and proper literature reviews as well as the existing data on Barapukuria coal mine and BTPP are tabulated to compare and understand the condition along with the potential prevention and remediation approaches.
... The geo-accumulation index (Igeo) is a common criterion used for quantifying the intensity of heavy metal contamination in terrestrial, aquatic and marine environments, which has been used by many researchers in order to determine the extent of the metal accumulation in the soil and sediments (Gaur et al., 2005;Zakir et al., 2015b;2017c;Hossain and Zakir, 2016;Islam et al., 2020). The geo-accumulation index (Igeo) introduced by Muller (1969) was used to assess heavy metal pollution in different industrial soils of Sreepur Upazila of Gazipur district. ...
... The concept of a baseline is a fundamental issue to the formation of a PLI (Tomlinson et al., 1980). The PLI represents the number of times by which the metal content in the soil exceeds the average natural background concentration and gives a summative indication of the overall level of heavy metal toxicity in a particular sample that has been widely used (Zakir et al., 2015b;2017c;Hossain et al., 2017;Zakir and Arafat, 2020). The PLI values ranged from 0.26-1.91 and 0.12-0.32 for polluted and non-polluted soil sampling sites, respectively during the pre-monsoon season (Fig. 3a). ...
Article
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A study was conducted to measure the seasonal variation of different heavy metal contents in farm soils of Sreepur Upazila of Gazipur district and to assess their pollution level. Industrial affected and non-affected soil samples were collected from 5 locations in three seasons viz. pre-monsoon (April), monsoon (August), and dry season (January), thus a total of 30 soil samples were analyzed for this study. Concentrations of different heavy metals (Cd, Pb, Cr, Ni, Cu, and Zn) in soil samples were determined by an Atomic Absorption Spectrophotometer (AAS). The mean total concentration of Cd, Pb, Cr, Ni, Cu and Zn in industrial affected soils were trace, 12.05, 101.10, 51.32, 20.79 and 55.40 mg kg 1 , respectively in the pre-monsoon, trace, 28.54, 40.96, 22.70, 2.46 and 7.72 mg kg 1 , respectively in the monsoon and 0.27, 10.49, 39.45, 20.69, 1.85 and 4.11 mg kg 1 , respectively in the dry season. All heavy metal concentrations in industrial affected soil samples were higher than the corresponding non-affected sites. The study results revealed that Cd contents in the dry season and Pb contents in the monsoon season for industrial affected soils were higher compared to the average earth's crust abundance value. The geoaccumulation index (Igeo) values for Pb of industrial affected soils ranged from 0.30-0.85 in the monsoon that means Igeo class 1, indicating unpolluted/moderately polluted soil quality. Furthermore, the calculated Igeo value for one industrial affected location revealed moderate soil pollution by Cr in the pre-monsoon season and unpolluted/moderately polluted soil quality by Ni and Cd in the pre-monsoon and the dry season, respectively. The measured pollution load index (PLI) values were also higher in all industrially polluted sites than corresponding non-polluted sites in three seasons, which indicates pollution load due to anthropogenic sources.
... Environmental hazards are also more likely to cause chronic health problems since they are so common in coal mining locations. Numerous independent studies have been conducted over the years on the topic of soil pollution (Bhuiyan et al., 2010;Fardushe et al., 2014;Halim et al., 2015;Hossain et al., 2015;Hossen et al., 2021;Khan et al., 2017;Siddique et al., 2020;Zakir, 2017), taking into account several metals that may be hazardous to the environment and human health at the Barapukuria coal mine. In coal mining area soils, limited research was conducted based on an extensive analysis of metal contamination, ecological risks based on crucial sources, and source-based health concerns. ...
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Heavy metals in soil are harmful to natural biodiversity and human health, and it is difficult to estimate the effects accurately. To reduce pollution and manage risk in coal-mining regions, it is essential to evaluate risks for heavy metals in soil. The present study reviews the levels of 21 metals (Nb, Zr, Ag, Ni, Na, K, Mg, Rb, Zn, Ca, Sr, As, Cr, Fe, Pb, Cd, Co, Hg, Cu, Mn and Ti) in soils around Barapukuria coal-mining vicinity, Bangladesh which were reported in literature. An integrated approach for risk assessments with the positive matrix factorization (PMF) model, source-oriented ecological and health hazards were applied for the study. The contents of Rb, Ca, Zn, Pb, As, Ti, Mn, Co, Ag, Zr, and Nb were 1.63, 1.10, 1.97, 14.12, 1.20, 3.13, 1.22, 3.05, 3.85, 5.48, and 7.21 times greater than shale value. About 37%, 67%, 12%, and 85% of sampling sites posed higher risks according to the modified contamination factor, Nemerow pollution index, Nemerow integrated risk index, and mean effect range median quotient, respectively. Five probable metal sources were computed, including industrial activities to coal mining (17%), agricultural activities (33%), atmospheric deposition (19%), traffic emission (16%), and natural sources (15%). Modified Nemerow integrated risk index reported that agricultural activities, industrial coal mining activities, and atmospheric deposition showed moderate risk. Health hazards revealed that cancer risk values computed by the PMF-HHR model with identified sources were higher than the standard value (1.0E-04) for children, adult male, and female. Agricultural activities showed higher cancer risks to adult male (39%) and children (32%) whereas traffic emission contributed to female (25%). These findings highlight the ecological and health issues connected to potential sources of metal contamination and provide useful information to policymakers on how to reduce such risks.
... A similar chemical reaction occurs when minerals from a reducing environment are carried to the surface and deposited in spoil tips (Wiggering 1993 Environ Sci Pollut Res leads to produce protons, rather than consumption (e.g., acid) in geochemical weathering processes (Temmerman et al. 1993;Li and Wu 2017). In coal seams, pyrite is a common mineral in most of the metal sulphide and may occur as a potential associating with other chalcophile elements (Bhuiyan et al. 2010a;Zakir et al. 2017;Dong et al. 2020). Though pyrite experiences a complex cycle of reactions during the oxidation process, however, in a simplified form, the following equations (Eqs. ...
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This study was conducted to assess the accumulation and sources of harmful metals and associated public health risk from the usage of underground mine water of Barapukuria coal mine in Bangladesh, keeping in mind the optimum reuse. Thirty underground mine water samples had been analyzed for assessing temperature, pH, EC, TC, DO, BOD, COD, Ca, K, S, Ti, Mn, V, Fe, Co, Ni, Cu, Zn, Br, Rb, Sr, and Pb. Numerous pollution evaluation and health risk assessment indices along with multivariate statistical tools were employed in this study to apprise the pollution scenario, controlling factors, and probable health risk. The chronic or persistent health risk of metals via oral and dermal exposure of adults and children was determined using the hazard quotient (HQ) and hazard index (HI). The results showed that the content of physicochemical parameters and potentially harmful elements in water samples was many folds higher than the national and international standards. The results of pollution evaluation indices indicate that coal seam-leached mine water is highly concentrated by potentially harmful metals and not suitable for drinking, agriculture, and aquatic lives. The correlation coefficients and multivariate analysis illustrate both the geological and anthropogenic factors controlling the variability of metals in mine water. Results of HQoral value suggest that V, Co, and Pb are significant health risk for adults and Mn, V, Co, Cu, and Pb are for children. Vanadium is found potential for dermal effects, and HIdermal value directs 33%, and 70% samples exceed the safe limit for adults and children, respectively. The HI value suggests that oral exposure to harmful metals creates more harm than dermal absorption, and children are more vulnerable than adults. It is anticipated that the outcomes of this study would deliver expedient insights to initiate necessary steps to minimize the public health risk by applying appropriate environmental protocols.
... At the same time, information about the elements exerting adverse impact on the environment is scarce, except for data on some toxic elements. Our previous study reports showed that the major contaminants in the surrounding soils of Barapukuria are Zn, Cu, Cd and Cr (Zakir et al., 2017a), and pollutants in surface water are Mn, Fe, Cu and K (Zakir et al., 2013). ...
Article
The contents and contamination level of 17 different chemical elements (Rb, Cs, Sr, Ba, Y, Zr, Co, Ni, V, Nb, Sn, Nd, Ce, La, Pr, Sb and Th) along with major elemental composition in 19 top soils and three canal sediment samples of the Barapukuria coal mine area were studied by X-ray Fluorescence spectroscopy (XRF). The study results revealed that SiO 2 , TiO 2 , Fe 2 O 3 , MgO, CaO and P 2 O 5 were within the limit of normal soil, while Al 2 O 3 , Na 2 O and K 2 O in soil, and MnO and Na 2 O in sediment samples exceeded the maximum level of normal soil. Among the metals, the contents of Rb, Cs, Zr, Sn, Ce, La, Nd, Pr and Th in most of the top soils were higher compared to Earth's crust average, while Y and Sb contents were comparatively higher in sediment samples. Mine water discharge canal sediment samples had EFc values for Sb ranged from 24.72 to 57.09, indicating very severe to extremely severe contamination due to mining activities. Similarly, EFc values varied from 5 to <20 for Sb and Zr at 10 and 12 soil sampling locations, respectively indicating moderately severe to severe pollution load of the study area. EFc values for Sn, Th, La, Ce, Cs, Pr, Nd and Y were also >5 in several soil sampling locations indicating moderately severe contamination level in the study area. The study concluded that high EFc values indicate enrichment of metals, which might be originated from geogenic sources due to coal mining and coal based power generation related activities at the study area.
... Rivers and canals are the most important ones among the different leading pathways for transporting contaminants or pollutants from one place to another. Heavy metals enter into these aquatic systems mainly through natural inputs such as weathering and erosion of rocks and anthropogenic sources including urban, industrial and agricultural activities, terrestrial runoff and sewage disposal [1][2][3][4][5][6]. Contamination of aquatic ecosystems with heavy metals has received much attention due to their toxicity, abundance and persistence in the environment and subsequent accumulation in aquatic habitats [7]. ...
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Fifteen (15) fish species were collected from three (3) locations of the Brahmaputra River to determine heavy metals content in fish flesh, and to assess potential human health risk through consumption of those fishes. The contents of heavy metals in aqueous extract of different fish species were determined by an atomic absorption spectrophotometer (AAS) at the Department of Agricultural Chemistry, Bangladesh Agricultural University, during the period from March to June, 2018. The concentrations of Mn, Zn, Cu, Pb, Cd and Cr in different fish species ranged from 41.70-376.62, 38.98-279.08, 3.19-47.91, 2.20-3.73, 0.19-1.20 and 0.59-2.40 mg kg-1 , respectively. The study results revealed that the edible portion of fish species of the river contained reasonably higher amount of Mn, Zn, Pb, Cr and Cu compared to some other previous studies carried out elsewhere with freshwater fishes. Among the fish species, mola (Amblypharyngodon mola) showed the highest metal pollution index (20.12) followed by chela (Salmophasia bacaila) (17.72), chanda (Chanda nama) (16.78) and chingri (Macrobrachium sp.) (15.83), while baim (Macrognathus aculeatus) exhibited the lowest (6.79). The calculated daily metal intake for Pb, Mn and Cd for both male and female were higher than that of upper tolerable intake level, which indicates consumption of common fishes of this river, is not safe. Similarly, target hazard quotient (THQ) values for Mn surpassed 5.0 for both male and female, and the same value for Pb also surpassed 5.0 for female indicate that the exposed population are unsafe. The study results also revealed that all individual THQ values of other metals for both male and female surpassed 1, which means exposed population are in level of concern interval. In Bangladesh freshwater river fishes are more popular than farm fishes. However, the study results recommend to aware people about heavy metal contents before consuming fish species of a polluted river system.
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The study was conducted to determine heavy metal contents in industrial wastewater and contaminated soils of Bhaluka, Mymensingh and to assess their pollution level. A total of 9 industrial wastewater and 12 contaminated farm soil samples were collected directly from the farmers' fields of Bhaluka area and analysed for this study. Considering EC, salinity and TDS, 56 to 89% wastewater samples were found problematic for long term irrigation. The concentration of CO 3 , HCO 3 and Cl in wastewater ranged from 0.20-1.60, 2.0-11.2 and 1.30-4.79 me L-1 , respectively and the content of Ca, Mg, Na and K in wastewater ranged from 16.03-52.10, 4.86-21.87, 101.98-678.90 and 5.59-48.63 mg L-1 , respectively. The study results revealed that all wastewater samples were found unsuitable for irrigation in respect of CO 3 , HCO 3 and K. Among the heavy metals studied, Pb, Cd and Fe concentrations in all wastewater samples and Mn content in 5 samples were found above than the acceptable limit for irrigation. The concentration of Zn, Cr, Cu, Pb, Ni, Cd, Mn and Fe in wastewater irrigated soils of Bhaluka industrial area ranged from 50.48 to 448.56, 47.22 to 83.65, 19.13 to 328.23, 42.37 to 77.96, 22.93 to 43.86, 0.70 to 1.40, 161.5 to 341.7 and 38105 to 65399 μg g-1 , respectively. Considering geoaccumulation index, the I geo values for Pb and Cd for all locations of the study area exhibited positive values (0.495< I geo <1.624), that means I geo class: 1-2, indicate moderately polluted soil quality. On the other hand, as regards to enrichment factor (EFc), 9 locations for Pb, 5 for Cd, 1 for Zn and 1 for Cu had EFc values > 5.0, indicate contaminated soil quality. The study concluded that industrial wastewater used for irrigation was directly linked with the heavy metals deposition in the farm soils.
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An experiment was conducted to study heavy metals bioaccumulation pattern in edible tissues of different farmed fishes and to assess human health risk through their dietary intake. Total 3 different species viz. grass carp (Ctenopharyngodon idella), silver carp (Hypophthalmichthys molitrix) and mrigel (Cirrhinus cirrhosis), and 3 dissimilar sizes of fish samples were collected from Muktagacha and Trishal area of Mymensingh district, Bangladesh during January 2018 and analysed for this study. Among the fish species, mean concentrations of Ca, Na and K were higher in mrigel; Mg and S contents were higher in silver carp and P content was higher in grass carp. As regards to heavy metals, mean concentrations of Pb (18.98 µg g-1), Ni (0.688 µg g-1) and Cu (15.197 µg g-1) were higher in mrigel; Cd (1.127 µg g-1), Cr (15.097 µg g-1) and Zn (36.023 µg g-1) contents were higher in grass carp, while contents of all metals were lower in silver carp. In context of size, both mineral nutrients and heavy metals bioaccumulation pattern in all species were higher in large size fishes. Similarly, metal pollution index values for all species of fish samples showed a sequence-large size> medium size> small size, which indicates that heavy metal bioaccumulation pattern was directly related to the size and age of fishes. The study results revealed that the daily intakes of Pb and Cd for all species and sizes of fish samples were higher than that of upper tolerable intake level. Target hazard quotients (THQ) values for Pb and Cr surpassed 1.0 for both male and female, which indicate that the exposed populations are in a level of concern interval. But in context of other heavy metals, these farmed fishes can assume as safe for human consumption.
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The Barapukuria Coalfield is only production coalfield in Bangladesh with coal deposit area of approximately 6.25 km 2. Geologically, the coal basin is a singular syncline in which coal occurs at shallower depth at the northern part and deeper depth at the central part. The Barapukuria coal mine started commercial production of coal by early 2005 with an annual target of 1 million ton per year for 25 years mine life only from the central part of the coal field. But, the coal mine is facing water in rush, land subsidence, roof collapse, methane emission etc. So, the production has stopped several times and it could not achieve annual production target. On the other hand, coal is existed at a shallow depth on the northern part of the field remain untouched because of underground mine design. The present study suggests extracting the coal from the northern part of the Barapukuria coal field by open pit mining method as well as an adequate mine design.
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In a qualitative analysis of water collected from the Barapukuria open coal mine area, 50 water samples were analyzed to assess water quality and suitability for domestic, industrial, livestock and irrigation usage. The pH of the mine water varied from 6.8 to 7.4. Electrical conductivity (EC) of all collected water samples were within the range of 85 to 907 µS cm-1 indicating low to high salinity. Total dissolved solids (TDS) ranged from 29 to 879 mg L-1. The anion chemistry in waters of Barapukuria coal mine area was dominated by HCO 3-, Cl-and SO 4 2-, which contributed 71, 17 and 11% of the total anionic mass balance, respectively. The cation chemistry indicated that among 50 water samples, 23 showed dominance sequence as Ca > Na > Mg > K, 10 samples as Na > Ca > Mg > K and 6 samples as Ca > Na > K > Mg. Among the studied trace metals (Fe, Zn, Cu and Mn), the most dominant metal was Mn. In respect to Mn content, out of 50 samples, 46, 44, 47 and 46 water samples were unsuitable for irrigation, drinking, livestock and industrial usage, respectively. Mixed cation-HCO 3-was the dominant hydrochemical facies for surface and groundwater, and Ca-Mg-HCO 3-was the dominant hydrochemical facies for mine discharged water. The quality assessment showed relatively high values of EC, TDS, TH, HCO 3-, Cl-, SO 4 2-, K, Cu and Mn in a number of water samples, which would make them unsafe for drinking, livestock, irrigation and industrial purposes.
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The research work was conducted to determine the concentration of heavy metals in roadside soils and grass samples collected from different locations of Dhaka metropolitan city, and to assess their pollution level. The concentrations of metals (Cu, Zn, Pb, Cd and Cr) in roadside soil and common grass (Ageratum conyzodes) samples were determined by using an Atomic Absorption Spectrophotometer (AAS). The pH of all soil samples were slightly acidic to neutral. Average concentration of heavy metals in soil samples were: Pb = 45.68; Cd = 0.38; Cu = 42.34; Zn = 163.28 and Cr = 30.17 µg g-1. The highest concentrations of different heavy metals were found in the samples collected from heavy traffic. In case of grass samples the mean concentrations of Pb, Cd, Cu, Zn and Cr were 3.48, 0.52, 75.04, 103.33 and 32.25 µg g-1 , respectively. The average concentration of Cu, Zn and Cr in grass samples collected from different locations of Dhaka metropolitan city were above than the critical toxic levels (20-30, 100 and 5-10 µg g-1 , respectively) for most plants. The study revealed that the contamination factor for Pb, Zn and Cd were several times higher compared to Cu and Cr, which indicates that Pb, Zn and Cd were the major pollutants in the roadside soils of Dhaka metropolitan city. Finally, the I geo calculations of the roadside soils of the study area also revealed moderate pollution level in soils by Pb, Zn and Cd from anthropogenic sources.
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Gazipur district is highly susceptible to environmental pollution due to over population, rapid industrialization and urbanization in last decades. Total 23 soil samples were collected from 3 different industrial areas namely Gazipur Sadar, Kaliakair and Sreepur to determine heavy metals concentration as well as to assess their pollution level. The mean concentrations of Cu, Zn, Pb, Cd and Cr in soil samples were 36.19, 176.67, 27.95, 0.41 and 29.21 μg g-1, respectively. The study results revealed that 7, 16, 10 and 9 samples had the values greater than the average shale value of Cu, Zn, Pb and Cd, respectively, which indicates the anthropogenic pollution load in the respective site. Among the correlations between metals of soils, Cu had highly significant positive correlation with Pb and Cr, and Pb with Cr, which indicates that these metals may have originated from common sources, preferably from different industrial activities. The mineralogical study detected the presence of several clay minerals; those are likely to be major host of heavy metals in soils. Considering PLI, total 11 sites had values >1.0 indicate pollution load in the respective sites, and Zn, Pb and Cd were the major contaminants giving rise to PLI values in soils of the study area. The Igeo calculations also revealed moderate pollution level in several sites by Pb, Zn and Cd. High amount of these metals in surface soils may give rise to various health hazards to the surrounding environment.
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In cooperation with the National Park Service, the U.S. Geological Survey conducted a stream-sediment-based environmental geochemical study in and near Yellowstone National Park (the Park). The main goals of the study were to (1) determine background concentrations for as many as 49 elements in samples of rock and stream sediment, (2) establish a geochemical baseline during the 1990s for future reference, (3) identify the source(s) of anomalies for selected elements, and (4) identify potential chemical impacts on the Park environment, especially on wildlife. Two areas of the Park containing identified environmental geochemical problems were selected for detailed study: (1) an area in the western part of the Park that includes the Gibbon, Firehole, and Madison River basins, and (2) an area in the northeastern part that includes the Soda Butte Creek and Lamar River basins and part of the Yellowstone River basin. The geology of the first area is characterized mainly by Quaternary felsic volcanic rocks. Localities with major geothermal activity are present in this area. The second area has more complex geology that consists primarily of Tertiary volcanic rocks of intermediate composition and Precambrian schists and gneisses. Also present are scattered exposures of Paleozoic clastic and carbonate rocks and Quaternary felsic volcanic rocks. Geothermal activity is very limited in this area. Both study areas contain extensive deposits of glacial, fluvial, or lacustrine origin. Analyses for as many as 49 elements in 393 samples of stream sediment collected from throughout the Park were evaluated statistically, including factor analysis. A five-factor model classified the elements on the basis of two lithologic factors, one mineral-deposit-related factor, one geothermal-process-associated factor, and one “miscellaneous” factor. Data from the factor analysis, when combined with the distributions of anomalies for the elements determined in this study, show that most (34) of the elements are best correlated with rock chemistry. Many of these elements can be used to discriminate between major lithologic units and can therefore be used to assist geologic mapping studies in the Park area. Anomalies of As, Cs, F, Hg, Mo, S, Sb, Tl, and W were determined to be associated with areas of geothermal activity. Of these nine elements, cesium is the best discriminator between anomalies related to geothermal activity and those related to outcrops of mineralized rock and to past mining activity near the Park. The effects of mineralization and past mining activity in the Cooke City, Mont., area, outside but near the northeastern boundary of the Park, are defined by anomalies of Ag, As, Au, Cu, Fe, Hg, Mo, Pb, S, Sb, Se, Te, Tl, W, and Zn, and possibly F. The effects are delineated best by anomalies of Au, Cu, and Te. Relatively weak anomalies of some of these elements extend as far as 18 km inside the Park. In the area of Slough Creek, in the northeastern area of the Park, the source for a high concentration of lead was determined to be anthropogenic because of the sample location and a lack of anomalies of other elements that commonly are associated with natural lead anomalies. This anomaly probably is related to past fishing activity. In high concentrations, a number of the elements associated with geothermal activity in the Park are potentially toxic to animals. Currently, only one of the 49 elements determined (fluorine) is known to affect the health and longevity of wildlife in the Park. Additional studies are needed to determine whether other elements are impacting the Park environment, including wildlife.
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Heavy-metal contamination of sediments within river systems is a major environmental problem around the world. Deposited as a by-product of metal mining, contaminated sediments are persistent and widespread, frequently affecting large areas of floodplains, which makes precise assessments of contamination levels and patterns difficult. This paper describes findings from a new, generic, catchment sediment model called TRACER, which uses historical mining records to accurately predict present-day and future levels and patterns of contamination. This model provides detailed views of the extent of contamination and demonstrates how contaminated sediments form into “hot spots,” which in turn become secondary sources of pollution. The exceptional longevity of the contamination is also revealed; >70% of the deposited contaminants remain within the river system for >200 yr after mine closure. Simulations of the impact of future climate changes in northern England show that increased flood magnitudes are likely to decrease surface contamination through dilution by cleaner sediment from hillslopes unaffected by mining activity.
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This report presents some strategies to predict metal mobility at mining sites. These strategies are based on chemical, physical, and geochemical information about metals and their interactions with the environment. An overview of conceptual models, metal sources, and relative mobility of metals under different geochemical conditions is presented, followed by a discussion of some important physical and chemical prop-erties of metals that affect their mobility, bioavailability, and toxicity. The physical and chemical properties lead into a discussion of the importance of the chemical specia-tion of metals. Finally, environmental and geochemical processes and geochemical barriers that affect metal speciation are discussed. Some additional concepts and applications are briefly presented at the end of this report.