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Geochemical fractions and modeling adsorption of heavy metals into contaminated river sediments in Japan and Thailand determined by sequential leaching technique using ICP-MS
⁎Corresponding author. Fax: +62341 567 382. d_v_n_a_98@yahoo.com (Anugrah Ricky Wijaya) anugrah.ricky.fmipa@um.ac.id (Anugrah Ricky Wijaya)
-
Received: ,
Accepted: ,
This article was originally published by Elsevier and was migrated to Scientific Scholar after the change of Publisher.
Peer review under responsibility of King Saud University.
Abstract
In order to provide information on the chemical processes in sediment fractions and their adsorption models, we investigated the contaminated sediments of the Sumida River in Tokyo, Japan and the Chao Phraya River in Bangkok, Thailand. Samples were leached through a sequential leaching technique to perform metal concentration analysis for the sediment fraction assessment and then samples were tested for the model adsorption of the highest level of sediments contaminated by heavy metals using the isotherm Langmuir and Freundlich equations. Metal (Pb, Cd, Zn, As, Cu, Ca, Fe, and Mn) concentration in the leached solutions was analyzed by Inductively Coupled Plasma-Mass Spectrometry (ICP-MS). The pattern of geochemical fractions in both sediment samples showed the maxima leached levels of Cd (38.6 %), Ca (55.2%), and Mn (41.3%) in the soluble fraction; Pb (52.1%), and Zn (56.7%) in the reducible fraction; Cu (61.2%) in the oxidizable fraction; and As (47.1%) and Fe (55.9%) in the residual fraction. The total level fractions of Pb (62.6 ppm), Zn (240 ppm), As (27.2 ppm), Fe (16,636 ppm) and Mn (419 ppm) in the Chao Phraya River sediments were higher compared to those in the Sumida River, indicating the high anthropogenic effect in Bangkok. In the most contaminated sediments, the higher adsorption capacity of heavy metal concentrations was contributed by SiO2, CaCO3, and Al2O3 determined by the X-ray diffraction and organic contents. The model of adsorption of Cd fitted to the linear form of Langmuir’s equation with the correlation coefficients (r2 = 0.94), b (0.467) and k (7137), whereas Pb, Cu, Cr, and Zn conformed to the model of the Freundlich equation.
Keywords
Chao Phraya
Sequential leaching
Fraction sediment
Adsorption capacity
Langmuir isotherm
1 Introduction
Sediments are characterized as metal sinks when they hold up metal in river water contributed from ecological and human food webs through several routes. The proportion of a chemical held by sediment depends on the metal’s chemical environment. In the case of metal chemistry, the metal species are very important for scientists to determine the behavior and toxicity of metals in a variety of chemical forms in the environment. The free metal ions, metal complexes dissolved in river water and adsorbed on sediment surfaces, and metal species that have been co-precipitated in major metallic sediments (silica and alumina) are considered as part of the variety and complex forms found in sediment. The incorporation of metals into the sediment system also greatly depends on the form and range of the metal species, the charge on the metal entering the sediment, and the pH of the receiving environment.
Chemical leaching methods in sediment are used in the basic studies about sediment chemistry. They are used for assessing the structure and composition of sediment components and are used to improve the understanding of the processes in the sediment that control the mobilization and retention of essential nutrient and toxic elements associated with transport mechanisms in the aquatic environment (Rao et al., 2008). Partial and total leaching methods are a major interest for studying the fate of environmental pollutants in order to target particular fractions. Selective partial chemical fraction leaching techniques have been performed to assess the behavior of heavy metals in polluted or contaminated sediments and corals (Sazzad et al., 2010; Wijaya et al., 2012, 2013; Wang et al., 2015; Gati et al., 2016; Salem and Ayadi, 2016). However, they could not explain which fractions the metals are incorporated. On the other hand, the sequential leaching analyses of the total metal concentrations in sediment provide insight into how the metals are incorporated in various component fractions with their mobility and bioavailability within the environment. The main geochemical fractions that are commonly expected are exchangeable ions, carbonate-bound, iron and manganese oxide-bound, organic matter-bound, and residual fractions, which together form the total level concentrations. These different fractions can be measured by performing a series of different chemical leaching tests on a single sediment sample, and using the residue from the prior test to perform the subsequent leaching tests. The sediment fraction attacked by each leaching reagent is thus restricted by the series of leaching methods and is thereby made more detail and specific (Rao et al., 2008).
Sakata et al. (2008) investigated As, Cd, Cr, Hg, and Pb in a sediment core dated by 210Pb showing the levels of pollution in Tokyo Bay and Sumida River reached their maximum in the early 1970s when pollution control in industries and utilities started in earnest region. Wijaya et al. (2012, 2013) continued to measure the partitioning of Pb, Cd, Zn, Cu, As, Cr, and Ni concentrations in the Sumida and Chao Phraya River‘s sediments for the assessment of heavy metal pollution surrounding Tokyo and Bangkok. They found that the contaminated sediment in the several regions adjacent to the Tokyo and Bangkok metropolitan areas was suspected to be a result of anthropogenic activities. However, there have been no detailed studies on the geochemical fractionations of river sediments of heavy metals conducted so far. This research was conducted to continue determining and evaluating the detailed geochemical fractionations of the total metal contents in the Sumida and Chao Phraya Rivers’ contaminated sediments by means of sequential leaching for pollution assessment. Here, partial and total chemical leaching methods were compared to provide information and a detailed comparison of the part fractions in their methods.
Assessment of heavy metal pollution in the river can be studied further by using sediment adsorption models of heavy metals. The river is subject to wastewater discharge as an inevitable result of industrialization and urbanization. Heavy metal ions in river water can be dissolved and then adsorbed on sediment particles through physical and chemical reactions (Saeedi et al., 2004; Miller et al., 2014; Zhao et al., 2014). A number of physical and chemical processes including adsorption onto fine-grained sediment, precipitation, coprecipitation with iron and manganese oxides and carbonates, adsorption by organic matter or organometallic binding, and incorporation in crystalline minerals have been identified (Filgueiras et al., 2002; Saeedi et al., 2004; Sh et al., 2012).
In order to elucidate the process by which heavy metals are adsorbed onto sediment, an investigation on the adsorption capacity of dissolved metals in the contaminated river sediments is needed in order to understand the process by which the potential environmental risks to human beings or organisms can be reduced in the future. The investigation of the adsorption capacity of heavy metals by contaminated sediment was examined through a series of laboratory scale experiments. The detailed aim of this study was then to examine the sediment adsorption capacities by spiking the sediments with a heavy metal ion and measuring the response to further adsorption over an extended period of time. We also reported and described the sediment adsorption model capacities using the Langmuir and Freundlich isotherm equations.
2 Materials and methods
2.1 Sample collection and pretreatment for analysis
The contaminated sediment samples from the Sumida and Chao Phraya Rivers were collected from February to November 2009 (Fig. 1, Table 1 ). Wijaya et al. (2012) already investigated metal contents and Pb isotopes of surface sediment samples from a total 22 sites in the city center of Tokyo, Osaka, and Kyoto of Japan. 5 sites in the Sumida River were detected as the contaminated or polluted sediments when compared with the background of values metal contents in the local of background Japanese river sediment (Fig. 1). In the Chao Phraya River Thailand, Wijaya et al. (2013) also investigated metal contents in surface sediment at sites 27, 29, 32, 36, 40, 44, 48, 50 (I), 50(II), 50(III), 51, 52, 53, 54, 55, 56, 58, 60, 64, 72, and 81 km from river mouth (0 km) comparing to their values of background Thailand River sediment. They detected the contaminated or polluted areas at sites 40, 44, 50(I), 50(II), and 50(III) km (Fig. 1). We continued to collect, investigate, and examine the contaminated sediment as previously reported by Wijaya et al. (2012, 2013) for the detailed fraction sediment using the sequential leaching experiment. Sample code of 50(I), 50(II), and 50(III) indicates the series sampling code.Map showing sampling locations of contaminated sediments of Sumida and Chao Phraya Rivers.
Location (Site)
Metal contents
1
2
3
4
5
Mobile/exchangeable
Soluble
Reducible
Oxidizable
Residuals
Sumida River
1. Continental Hotel (a)
Pb
0.03
0.24
14.0
7.10
17.3
Cd
0.36
0.17
0.16
0.01
0.02
Zn
4.58
124
88.0
13.7
14.8
As
0.71
0.21
2.37
1.37
4.73
Cu
8.64
7.14
17.4
43.7
15.5
Ca
19,731
3621
919
197
102
Fe
34.8
253
7212
1535
7501
Mn
5.63
39.4
32.4
28.2
44.0
2. West side of Kashidoki
Pb
0.05
0.18
6.90
13.3
31.0
Bridge (b)
Cd
0.03
0.30
0.25
0.04
0.08
Zn
5.66
154
82.6
28.9
23.4
As
0.36
0.15
0.68
1.53
3.98
Cu
12.5
8.83
12.9
72.0
28.4
Ca
8334
1134
428
242
145
Fe
22.3
240
5595
2776
11,634
Mn
17.8
53.2
33.7
39.5
66.7
3. East side of Kashidoki
Pb
0.07
0.41
5.12
9.96
20.9
Bridge (EKB) (c)
Cd
0.04
0.17
0.28
0.01
0.02
Zn
1.97
15.7
16.0
4.29
7.37
As
0.05
0.09
0.09
0.51
1.93
Cu
2.04
3.75
0.89
51.4
17.6
Ca
6790
1111
631
117
65.1
Fe
16.0
116
3334
1740
10,385
Mn
31.6
38.7
23.7
9.26
34.7
4. Hamcho (d)
Pb
0.03
0.16
9.39
3.32
18.6
Cd
0.05
0.26
0.24
0.01
0.04
Zn
11.9
143
75.5
9.34
24.1
As
0.08
0.14
0.78
0.33
1.55
Cu
7.48
14.2
20.8
35.5
28.5
Ca
2753
503
414
151
151
Fe
30.8
183
6671
1215
11,480
Mn
30.8
36.1
31.3
17.6
71.3
5. Asakusa (e)
Pb
0.11
0.28
24.5
4.88
10.5
Cd
0.13
0.44
0.21
0.14
0.05
Zn
17.5
120
661
17.5
21.3
As
2.96
0.43
1.11
0.39
0.61
Cu
10.8
0.63
2.15
4.71
2.62
Ca
22,281
76,519
3640
90.0
38.0
Fe
36.1
118
1577
436
1027
Mn
16.0
38.2
19.9
5.49
9.57
Chao Phraya River
1. 40.0 km
Pb
0.21
0.33
38.6
12.2
51.0
Cd
0.18
0.09
0.25
0.06
0.65
Zn
21.4
136
307
43.8
152
As
0.02
0.19
0.84
21.4
40.0
Cu
5.65
14.5
28.9
593
111
Ca
8169
347
179
20.3
167
Fe
28.6
7.88
7831
1002
20,000
Mn
432
189
155
21.4
40.0
2. 44.0 km
Pb
0.27
0.18
31.1
3.29
0.18
Cd
0.08
0.03
0.04
0.01
0.25
Zn
5.66
66.7
59.0
4.61
10.0
As
0.07
0.09
0.77
1.36
2.85
Cu
4.53
6.57
9.63
11.9
11.7
Ca
1510
211
47.7
5.00
16.0
Fe
14.2
4.82
2243
263
1353
Mn
106
175
88.4
1.36
2.85
3. 50 (I) km
Pb
0.10
0.11
14.2
5.36
11.0
Cd
0.04
0.02
0.04
0.04
0.30
Zn
2.37
33.1
71.4
8.95
34.0
As
0.06
2.06
1.06
2.48
9.06
Cu
117
2.06
2.16
11.5
18.5
Ca
2844
826
367
14.7
116
Fe
18.5
12.7
4635
812
6160
Mn
233
237
162
2.48
9.06
4. 50 (II) km
Pb
0.02
0.63
30.1
2.82
4.37
Cd
0.05
32.6
0.10
0.09
0.17
Zn
3.16
32.6
48.0
4.67
17.6
As
0.03
0.07
0.80
1.87
6.14
Cu
3.55
6.00
8.01
19.5
21.8
Ca
3762
272
70.4
12.0
6.14
Fe
16.5
23.5
3500
39.6
6.14
Mn
173
58.5
27.0
1.86
6.14
5. 50 (III) km
Pb
0.01
1.56
49.2
12.8
43.3
Cd
0.02
0.08
0.19
0.01
0.12
Zn
2.09
27.9
53.6
8.96
42.3
As
0.01
0.08
0.57
7.46
38.9
Cu
1.03
2.53
2.83
21.5
36.6
Ca
4380
532
8858
1679
24,621
Fe
25.1
28.3
8858
1679
24,621
Mn
197
206
136
7.46
38.9
The samples were taken from the surface of the river bed with a stainless-steel grabber. After acquiring the sediment sample with the grabber, it was carefully opened over a plastic bowl. Plastic bags turned inside-out were used to pick up the surface samples from the bowl. The bags were then closed tightly using a simple knot and then placed into additional bags for storage and in order to avoid contamination until the analytical treatments could be performed. The samples were assumed to be completely sealed and unaffected by ambient contamination while stored in the multiple sealed plastic bags. The samples are mostly fine grains and composed of mud and silt. The collected river sediment samples were dried in an oven at ∼70 °C until they were completely dried (approximately 12 h). The dried sample was then ground and homogenized in an agate mortar and sifted through a less than ∼50 μm polyethylene sieve. All plastic, hair, wood, and paper were removed from samples. Finally, the fine-grained fraction samples were kept enclosed in a clean plastic bag to prevent contamination (Wijaya et al. 2012).
2.2 The sequential leaching experiment
Sequential leaching is a tool that assesses and evaluates the potential mobility and availability of metal contents in sediment. We used a modified 5-step sequential leaching procedure described by Filgueiras et al. (2002), Ratuzny et al. (2009) and Wijaya et al. (2012). The five steps are as follows: Step-1 mobile and exchangeable fractions, Step-2 soluble fraction, Step-3 reducible fraction, Step-4 oxidizable fraction, and Step-5 residual fraction. The detailed procedures are described below:
F1 (Mobile and exchangeable fraction): A 10.1–11.5 mg sediment sample was leached with 1 mL of 1 M NH4NO3 (pH 7) with continuous shaking for 24 h. The extract was put in a sonic bath for 30 min and then separated from the solid phase by centrifugation at 100 rpm for 10 min. The supernatant was decanted into a 7-mL polyethylene tube and then heated at 110 °C for 5 h, followed by the addition of 3 drops of HNO3 (15.3 M) until dry. Finally, the supernatant was diluted with 5 mL 1% HNO3, heated to 110 °C for 1 h, put in a sonic bath for 30 min, and then stored at room temperature in a clean room. The residue was washed with 1 mL of 1% HNO3 five times. The supernatant was discharged without the solid residue, which was subjected to step 2 (F2).
F2 (Soluble fraction): The residue obtained from step F1 was leached with 1 mL of CH3COONH4 (1 M) (pH 4), subjected to continuous shaking for 24 h, put in a sonic bath for 30 min, and then centrifuged for 10 min. The extract was separated as in F1.
F3 (Reducible fraction): Residue obtained from step F2 was leached with 1 mL of NH2OH-HCl (pH 2), subjected to continuous shaking for 24 h, put in a sonic bath for 30 min, and centrifuged for 10 min. The extract was separated as in F1.
F4 (Oxidizable fraction): Residue obtained from step F3 was leached with 1 mL of H2O2 (35%), subjected to continuous shaking for 30 min, put in a sonic bath for 30 min, and centrifuged for 10 min. The extract was separated as in F1.
F5 (Residual fraction): The residue obtained from step F4 was leached with 1 mL of HNO3 (15.3 M), subjected to continuous shaking for 24 h, put in a sonic bath for 30 min and centrifuged 10 min. The resultant residue was heated to 110 °C, followed by the addition of 3 drops HF and the addition of 3 drops HNO3 (15.3 M), and heated again until dry. Finally, the residue was dissolved and diluted with 1 mL 1% HNO3 five times.
2.3 X-ray diffraction and adsorption experiment
The collection and preparation of the sediment samples were performed following the procedure described by Wijaya et al. (2013). Samples were dried at 70 °C for 24 h (Karbassi and Shangkar, 2005). The mineralogical composition of the sediment samples was determined using X-ray powder diffraction measurement (RINT ULTIMATE/PC X-ray diffractometer) with a copper kα radiation at 40 kV and 70 mA, 1° divergence silt, and 1° anti scatter slit. The diffraction patterns of samples were recorded in steps of 0.020°2-theta over the course of one minute. Organic chemical characteristics such as C, H, and N in the sediments were analyzed using a J-Science Micro Corder JM10 CHN analyzer.
Adsorption experiments were performed by adding a 1 mL spike of a standard solution of heavy metals (ICP-MS-QC2-1 standard) at 2.5, 5.0, 7.5, 1, and 10 ppb to a constant volume of Milli-Q water (5 mL) in 7-mL vials containing 0.01–0.02 grams of sediment each. The vials were filled water and sediment and were shaken subsequently at three contact times at 5 h, 1 day, and 5 days. The solution was extracted from the vial using a syringe after each contact time period. After the solution was extracted, the pH of each solution was determined using a pH meter (twin pH water proof, HORIBA, LTD, Kyoto, Japan).
2.4 ICP-MS analysis
The leached sample in each fraction was measured for metal contents using an inductively coupled plasma mass spectrometer (ICP-MS, HP-4500, Hewlett Packard, Japan). Mixed standard solutions of XSTC-13 (Spex), XSTC-22 (Spex), and NIST (ICP-MS-QC2-1) were utilized in the experiment. The sample was taken up at a rate of ∼0.1 mL/min by micro flow PFA nerl. The integration time was 3 s per mass and RF power was 1.3 kW while reflected power was smaller than 1.0 W. The plasma and nebulizer gas (argon gas) flow rates were 16.0 L/min and 1.0 L/min, respectively. Each sample was counted three times per measurement in order to obtain an average count with a standard deviation for the elemental concentration measurements. The metal contents were determined by a calibration method. We found that the coefficient of correlation (r2) ranged from 0.99 to 1.00 during the experiments. All analyses were calculated on a dry weight basis. This analysis allows multi-elemental quantifications for metals such as Pb, Cd, Zn, As, Cu, Fe, Ca, and Mn within the ppm level in the sediment.
The detection limits were calculated as ng/ml according to Gallon et al. (2005) based on a 3σ standard deviation of Pb, Cd, Zn, As, Cu, Fe, Ca, and Mn determinations of relevant reagent blank. We checked the detection limits of each metal as follows: Pb = 0.30 ng/ml, Cd = 0.10 ng/ml, Zn = 1.51 ng/ml, As = 0.10 ng/ml, Cu = 0.68 ng/ml, Fe = 0.10 ng/ml, Ca = 0.10 ng/ml, and Mn = 0.10 ng/ml. In the case of the adsorption experiments, the analysis allows multi-elemental quantification (such as for Cr, Cu, Zn, Cd, and Pb within ppb level) for trace elements adsorbed on the sediment. The precision was reported using % RSD of each metal as follows: Cr = 2.37%, Cu = 2.37%, Zn = 2.01%, Cd = 1.51%, and Pb = 3.56%. The quantification limits in the sediment were calculated as μg/g based on a 10σ standard deviation of Cr, Cu, Zn, Cd, and Pb determinations of the relevant agent blank (Gallon et al. 2005). The checked quantification limits were Cr = 1.60 μg/g, Cu = 0.47 μg/g, Zn = 5.30 μg/g, Cd = 0.20 μg/g, and Pb = 0.92 μg/g. The recoveries for leached sediment samples were strictly evaluated using spiking of a standard solution of heavy metals (ICP-MS-QC2-1). The recoveries for heavy metal contents in sediment were 90–110%.
In order to remove the effects of spectral interferences (isobaric and polyatomic), we eliminated and reduced by a chemical separation, mathematical correction, or selection of an alternative isotope. 208Pb, 111Cd, 66Zn, 75As, 63Cu, 40Ca, 58Fe, and 55Mn were chosen as the selected of isotope (m/z) elements. 111Cd, 66Zn, and 63Cu had the interference molecular ion formed 45Mo16O, 50Ti 16O, 47Ti and 16O, respectively. That oxide formation was reduced by optimizing nebulizer argon flow rate, by applying solvent desolvation techniques to reduce water entering the plasma and by the addition of small quantities of nitrogen to the argon gas stream. In case of Arsenic-75, it was affected by the presence of chloride in the sample matrix. The interference molecular ion formed was 40Ar35Cl. The contribution of 40Ar35Cl to the signal was determined by measuring the ion intensity at mass-to-charge ratio (m/z) 77 and subtracting the contribution from Se, resulting in a net Se intensity (77Secorr). In addition, 82Se was chosen from isotopic natural abundance of Se. Finally 75Ascorr was automatically calculated in real time by the Elan data-processing software using equation below:
Moreover, Manganese-55 had interference associated with the argon plasma and aqueous aerosol (40Ar14N1H). Correction for these molecular ions in the plasma and aerosol was accomplished through blank subtraction.
2.5 Calculation and treatment of data
2.5.1 The adsorption capacities
The adsorption capacities were modified and calculated by the following formula (Saeedi, 2004): where Ci and Cr are the initial or spiked and final or residual metal concentrations, respectively (μg/l), m is the amount of sediment (g), v is the volume of the solution (mL), and Ac is the adsorption capacity (μg/g).
2.5.2 The Langmuir isotherm adsorption equation
The Langmuir adsorption isotherm equation is modified and given: where
Cr = residual solution concentration (ppb)
Ac = adsorption capacity of sediment (μg/g)
b = adsorption maximum
k = a constant relating to the binding energy of the sediment.
A plot of Cr/Ac against Cr should yield a straight line of slope 1/b and intercept 1/kb on the Cr/Ac axis.
2.5.3 The Freundlich isotherm equation
When the coefficient correlation (r2) in linear regressions is very low when using the Langmuir isotherm equation, we applied and modified the Freundlich equation which was put forward for describing the adsorption of ions or molecules to sediment. The equation is given as follows: where Cr = the equilibrium concentration of the adsorbate after adsorption has occurred or final/residual solution of concentration (μg/l), Ac = the adsorption capacity of the sediment (μg/g) and k, b = the constants for the system between adsorbate and adsorbent. In order to establish when data have a linear confirmation to the Freundlich isotherm equation, the logarithmic for of that equation is applied as follows:
A plot of log Ac versus log Cr should give a straight line of slope 1/b and an intercept of log k.
3 Results and discussion
3.1 Geochemical fractions of metal contents in sediments
The chemical partitioning of heavy metals provides evidence of the potential interactions of metals between river water and sediment. The concentrations of Cd, Cu, As, Fe, Mn, Zn, and Pb in the different geochemical fractions and their proportions of mobile/exchangeable, soluble, reducible, oxidizable, and residual fractions in the Chao Phraya and Sumida Rivers sediments are listed in Table 1. The average, the range, and the percent compositions of total metal contents in the different geochemical fractions in both of sediments are summarized in Table 2. The results revealed the variation of metal concentrations in each fraction at the different sites and locations. It is suggested the sediment sources influenced the mixture and composition, character, and chemistry of the metals.
Metal contents
1
2
3
4
5
Total
Mobile/exchangeable
Soluble
Reducible
Oxidizable
Residuals
concentrations
%
%
%
%
%
(ppm)
Sumida River
Pb
0.06 ± 0.03
0.25 ± 0.09
12.0 ± 6.93
7.71 ± 3.58
19.7 ± 6.64
39.7
(0.03–0.11)
(0.16–0.41)
(5.12–24.5)
(3.32–13.3)
(10.5–31.0)
(0.15)
(0.63)
(30.2)
(19.4)
(49.6)
Cd
0.12 ± 0.12
0.27 ± 0.10
0.23 ± 0.04
0.04 ± 0.05
0.04 ± 0.02
0.78
(0.03–0.36)
(0.17–0.44)
(0.16–0.28)
(0.01–0.14)
(0.02–0.08)
(17.1)
(38.6)
(32.9)
(5.71)
(5.71)
Zn
8.32 ± 5.63
111 ± 49.4
199 ± 231
14.8 ± 8.34
18.2 ± 6.33
271
(1.97–17.5)
(15.7–154)
(75.5–661)
(4.29–28.9)
(7.37–24.1)
(2.37)
(31.6)
(56.7)
(4.22)
(5.18)
As
0.83 ± 1.09
0.20 ± 0.12
1.01 ± 0.76
0.83 ± 0.52
2.56 ± 1.55
5.21
(0.05–2.96)
(0.09–0.43)
(0.09–2.37)
(0.33–1.53)
(0.61–4.73)
(15.3)
(3.68)
(18.6)
(15.3)
(47.1)
Cu
8.29 ± 3.57
6.91 ± 4.61
10.8 ± 8.01
41.5 ± 22.0
18.5 ± 9.59
86.0
(2.04–12.5)
(0.63–14.2)
(0.89–20.8)
(4.71–72.0)
(2.62–28.5)
(9.64)
(8.03)
(12.6)
(48.3)
(21.5)
Ca
11,978 ± 7636
16,578 ± 29,990
1206 ± 1230
159 ± 54.6
100 ± 44.0
30,021
(2753–22,281)
(503–76,519)
(414–3640)
(90.0–254)
(38.0–151)
(39.9)
(55.2)
(4.02)
(0.53)
(0.33)
Fe
28.0 ± 7.70
182 ± 58.1
4878 ± 2119
1540 ± 761
8405 ± 3976
15,033
(16.0–36.1)
(116–253)
(1577–7212)
(436–2776)
(1027–11,634)
(0.19)
(1.21)
(3.24)
(10.2)
(55.9)
Mn
20.4 ± 9.78
41.1 ± 6.14
28.2 ± 5.42
20.0 ± 12.5
45.2 ± 22.5
155
(5.63–31.6)
(36.1–53.2)
(19.9–33.7)
(5.49–39.5)
(9.57–71.3)
(13.2)
(26.5)
(18.2)
(12.9)
(29.2)
Chao Phraya River
Pb
0.12 ± 0.10
0.56 ± 0.53
32.6 ± 11.5
7.29 ± 4.34
22.0 ± 21.0
62.6
(0.01–0.27)
(0.11–1.56)
(14.2–49.2)
(2.82–12.8)
(0.18–51.0)
(0.19)
(0.89)
(52.1)
(11.6)
(35.1)
Cd
0.07 ± 0.06
0.05 ± 0.03
0.12 ± 0.08
0.04 ± 0.03
0.30 ± 0.19
0.58
(0.02–0.18)
(0.01–0.09)
(0.04–0.25)
(0.01–0.09)
(0.12–0.65)
(12.1)
(8.62)
(20.7)
(6.90)
(51.7)
Zn
6.94 ± 7.34
59.3 ± 40.8
108 ± 99.9
14.2 ± 14.9
51.2 ± 51.7
240
(2.09–21.4)
(27.9–136)
(48.0–307)
(4.61–43.8)
(10.0–152)
(2.89)
(24.7)
(45.0)
(5.92)
(21.3)
As
0.04 ± 0.02
0.14 ± 0.07
0.81 ± 0.16
6.91 ± 7.56
19.4 ± 16.5
27.3
(0.01–0.07)
(0.07–0.26)
(0.57–1.06)
(1.36–21.4)
(2.85–40.0)
(0.15)
(0.51)
(2.97)
(25.3)
(71.1)
Cu
26.4 ± 45.4
6.33 ± 4.46
10.3 ± 9.73
131 ± 231
39.9 ± 36.5
214
(1.03–11.7)
(2.06–14.5)
(2.16–28.9)
(11.5–593)
(11.7–111)
(12.3)
(2.96)
(4.81)
(61.2)
(18.6)
Ca
4133 ± 2237
438 ± 222
1904 ± 3479
346 ± 666
4985 ± 9818
11,806
(1510–8169)
(211–826)
(47.7–8858)
(5.00–1679)
(6.14–24,621)
(35.0)
(3.71)
(16.1)
(2.93)
(42.2)
Fe
20.6 ± 5.41
15.4 ± 9.03
5413 ± 2531
759 ± 578
10,428 ± 10,022
16,636
(14.2–28.6)
(4.82–28.3)
(2243–8858)
(39.6–1679)
(6.14–24,621)
(0.12)
(0.09)
(32.5)
(4.56)
(62.7)
Mn
106 ± 432
173 ± 60.9
114 ± 50.4
6.91 ± 7.57
19.4 ± 16.5
419
(5.63–73.4)
(58.5–237)
(27.0–162)
(1.36–21.4)
(2.85–40.0)
(25.3)
(41.3)
(27.3)
(1.65)
(4.63)
In order to apply a modified sequential leaching method for heavy metals in sediment, we considered a means to differentiate between the metals weakly associated with the sediment and the metals that are strongly bound to the sediment. Weakly associated metals include metals in the mobile and exchangeable fractions and the soluble fraction. Those metals are generally bound in carbonates, are exchangeable, form metal complexes on solid surfaces, and are easily released by exchangeable and acid reactions. The metals strongly bound in the sediment include the metals leached in the reducible, oxidizable, and residual fractions. Those metals are incorporated into amorphous oxides (reducible fraction), bound to organic matter or in the form of metal sulfides (oxidizable fraction), incorporated into crystalline mineral lattices, and refractory unoxidized organic matter as undissolved amorphous iron oxide (residual fraction). We examined the metals Pb, Cd, Zn, As, Cu, Ca, Fe, and Mn in the contaminated Sumida and Chao Phraya River sediments. The partition of total metal concentrations from the modified sequential leaching (ppm) is shown in Fig. 2a and b.The partition of metal contents in the five fractions obtained by the sequential leaching technique in the Sumida River sediment (a) and Chao Phraya River sediment (b).
3.1.1 Mobile and exchangeable fractions
Mobile and exchangeable metal ions are ions that are released most readily into the environment (Filgueras et al., 2002). A solution of NH4NO3 was the preferred reagent for leaching these ions as the relatively high concentration of the released metal ions indicated that these were water-soluble metals, exchangeable metals, and easily soluble organic complexes (Ratuzny et al., 2009). We modified the technique by using NH4NO3 1 M at pH 7, rather than chloride and acetate salts as nitrate anions prevent metal complexion or coagulation so the exchange mechanism reaction can be performed. The new modified leaching technique using NH4NO3 1 M pH 7 can leach the metals Ca, Pb, Cd, Zn, As, Cu, Fe, Ca, and Mn with the chemical reaction, as follows (Example Ca):
The metal ions released by ion-exchange processes indicated that the weakly adsorbed metals were retained on the sediment surface by relatively weak electrostatic interactions. Filgueras et al. (2002) reported that changes in the ionic composition caused remobilization of metals from this fraction.
In Sumida River sediments, the level of Pb (0.11 ppm), Zn (17.5 ppm), As (2.96 ppm), Ca (22,281 ppm), and Fe (36.1 ppm) at Asakusa showed a higher mobile fraction when compared with other sites. The Cd (0.18 ppm), Zn (21.8 ppm), Ca (8169 ppm), Fe (28.6 ppm), and Mn (432 ppm) are also recorded to be higher at the site 40 km from the river mouth in the mobile fraction of the Chao Phraya River sediments (Table 1). The higher level of concentrations of Ca, Fe, and Mn may be contributed by the nature of the natural material (e.g., limestone, hematite, and pyrolusite) surrounding the river. Ca, Fe, and Mn are formed as CaCO3, Fe2O3, and MnO2, respectively. The concentrations of Zn, As, Cd, and Pb indicated that there were high mobility metals in Asakusa and the 40 km site on the Chao Phraya which are readily released to organisms and human beings or they react with other cations in the river by an exchangeable reaction when the conditions are at pH 7.
Pb, Cd, Zn, As, Cu, Fe, Ca, and Mn corresponding to the mobile/exchangeable fraction represent a portion of the total metal content of the sediments in the Sumida (0.15–39.9%) and Chao Phraya Rivers (0.19–35.0%) (Table 2, Fig. 2). Pb, Zn and Fe respectively varied from 0.03 to 011 ppm, 1.97 to 17.5 ppm, and 16.0 to 36.1 ppm in the Sumida River sediment whereas Pb, Zn, and As respectively ranged from 0.01 to 0.27 ppm, 2.09 to 21.4 ppm and 0.01 to 007 ppm in Chao Phraya River sediment. These contribute the least to the portion from their concentrations, indicating that their introduction is the result of a small anthropogenic source. The ranged concentrations of Cu (2.04–12.5 ppm), Cd (0.03–0.36 ppm), As (0.05–2.96 ppm), and Mn (5.63–31.6) in the Sumida River and Fe (14.2–28.6 ppm), Cd (0.02–0.18 ppm), Cu (1.03–11.7 ppm), and Mn (5.63–73.4 ppm) in the Chao Phraya River were low to moderate portions from their total concentrations. The mobile and exchangeable sediment fractions of Cd and As in the Sumida River and Cd and Cu in the Chao Phraya River should be considered for use in monitoring pollution due to the high portion (12–17%) from total concentrations. The higher proportion of Ca concentrations in both of the rivers’ sediments indicated a high mobility of Ca in sediment.
3.1.2 Soluble fraction
Ratuzny et al. (2009) suggested that a solution of CH3COONH4 can be used to release metal ions due to the metal complexing capability of acetates, which prevents re-adsorption or precipitation. We modified the technique using CH3COONH4 1 M and adjusted the pH to 4 from the ion exchangeable stage or as specially adsorbed at the solid surfaces. In addition, Filgueras et al. (2002) investigated that ammonium leaches metals bound to carbonates in the surface sediment.
In the soluble fraction of the Sumida River sediment, the high levels of Cd (0.44 ppm), As (0.43 ppm), and Ca (76,519 ppm) are listed at the Asakusa site, whereas the high level of Fe (253 ppm), Zn and Mn (154 and 53.2 ppm), Pb (0.41 ppm) and Cu (14.2 ppm) was recorded at the Continental Hotel, West Side of Kashidoki Bridge, East Side of Kashidoki Bridge, and Hamcho sites, respectively. In the Chao Phraya River sediments showed high levels of Zn (136 ppm) and Cu (14.5 ppm) at 40 km from the river mouth. High concentrations of As (2.06 ppm), Ca (826 ppm), and Mn (337 ppm) were recorded at the site 50 (I) km whereas high levels of Cd (32.6 ppm) and Pb (1.56 ppm) were recorded at 50 (II) and 50 (III) km from river mouth, respectively. The high level of metal contents in the soluble fraction of the sediment in the different sites on the Sumida and Chao Phraya Rivers indicates metals in the carbonate form can be released as metal ions when the condition in the rivers are acidic (pH < 7) and then these ions can affect organisms and human beings.
We also report that NH4CO3 1 M pH 4 leached 38.6% Cd, 56.7% Zn, 55.2% Ca, and 26.5% Mn in the Sumida River sediments and 24.7% Zn and 41.3% Mn in the Chao Phraya River sediments from the total metal concentrations (Table 2, Fig. 2a and b). However, the leached concentrations of Pb, As, and Fe in this fraction were comparatively low in both rivers’ sediments. The high portion ranges of Cd (0.17–0.44 ppm) and Ca (503–76,519 ppm) in the Sumida River sediment and Mn (58.5–237 ppm) in the Chao Phraya River sediment indicated the level of those metals bound in carbonate sediments. The difference of metal binding to carbonates may be dependent upon the concentration of the reacting species (metal ion, metal complex, and solid surface sites), pH, ionic strength, and concentration of competing ions. The largest proportion of total Cd in the Sumida River was associated with the soluble fraction, indicating a high solubility of Cd in the carbonate (Fig. 2a). Filgueras et al. (2002) reported that carbonaceous sediments commonly and easily act as a Cd sink. The average Cd in the soluble fraction was 38.6 ppm. The high solubility of Cd is mainly affected by the pH of the sediments and soils (Ratuzny et al., 2009). The reaction of Cd2+ in sediment may be written as follows:
3.1.3 Reducible fraction
Hydroxylamine hydrochloride is widely preferred for leaching the easily reducible fraction (Filgueiras et al., 2002; Postma et al., 2007; Ratuzny et al., 2009). In general, the reducible fraction is divided into three fractions: the easily reducible fraction (Mn Oxides), the moderately reducible fraction (amorphous Fe oxides (Fe2O3)), and the poorly-reducible fraction (crystalline Fe oxides (Fe(OH)3)). We modified the leaching methods using NH2OH-HCl solute solution with pH 2.
The high levels of metal contents such as Pb (24.5 ppm), Zn (661 ppm), and Ca (3460 ppm) were recorded at the Asakusa site. As (2.37 ppm) and Fe (7212 ppm) were found to be high at the Continental Hotel site. The higher concentrations of Mn (33.7 ppm), Cd (0.28 ppm) and Cu (20.8 ppm) were recorded at the West side of the Kashidoki Bridge, at the East side of the Kashidoki Bridge, and at Hamcho, respectively. In the Chao Phraya River sediment, the metal contents of Cd (0.25 ppm), Zn (307 ppm) and Cu (28.9 ppm) at the site 40 km from the river mouth were recorded as higher than at other sites (Table 1). As (1.06 ppm) and Mn (162 ppm) were high at 50 (I) km, while Pb (49.2 ppm), Ca (8858 ppm), and Fe (8858 ppm) were found to be higher at site 50 (III) km, when compared to other sites. The variation of the metal contents in the Sumida and Chao Phraya River sites in these fractions was affected by local geology and natural sources when combined with anthropogenic inputs along the river. This was evident when considering the high concentrations of Mn and Fe at each site.
The proportion of metal contents in sediments which could be leached with NH2OH-HCl at pH 2 is as follows: Zn (56.7%) > Cd (32.9%) > Pb (30.2%) > As (18.6%) > Mn (18.2%) > Cu (12.6%) > Ca (4.02%) > Fe (3.24%) in the Sumida River and Pb (52.1%) > Cd (52.1%) > Zn (45.0%) > Fe (32.5%) > Mn (27.3%) > Ca (16.1%) > Cu (4.81%) > As (2.97%) in the Chao Phraya River (Fig. 2a and b). Pb and Zn were most efficiently leached through the method using NH2OH-HCl pH 2 when compared with other fractions in the Sumida and Chao Phraya Rivers’ sediments (Table 2). The metal contents in both river sediments may be released from reduction of Fe(III) and Mn(IV) under anoxic conditions by any or a combination of the following mechanisms as described by Li and Thonston (2001): co-precipitation, adsorption, surface complex formation, ion exchange, and penetration of the lattice. Tokalioglu et al. (2000) and Li and Thonston (2001) also confirmed that metal contents in Fe(III) and Mn(IV) oxides in sediment were thermodynamically unstable under anoxic circumstances and were affected by benthic organisms.
The reactions of metals in the reducible fraction in the Chao Phraya River sediment may be described as one of three possibilities, as follows (for example Pb):
Sediment-MnO2-Pb(s) + 2 NH2OH.HCl(aq) → Mn2+(aq) + Cl2(g) + Pb2+(aq) + H2O(l) + 2NH3(g)
Sediment-Fe2O3-Pb(s) + 2NH2OH.HCl(aq) → 2Fe2+(aq) + Cl2(g) + Pb2+(aq) + 2H2O(l) + 2NH3(g)
Sediment-Fe(OH)3-crystal-Pb(s) + 2NH2OH.HCl(aq) → 2Fe2+(aq) + Cl2(g) + Pb2+(aq) + H2O(l) + 2NH3(g)
3.1.4 Oxidizable fraction
Metals associated with oxidizable fractions are assumed to remain in sediments for longer periods, and are possibly mobilized by decomposition processes (Filgueiras et al., 2002). Ratuzny et al. (2009) reported that oxdizable metals may be associated with a stable and high molecular weight humic substance that releases metals in a slow manner. Degradation of organic material such as living organisms, detritus, or coatings on mineral particles under oxidizing conditions can contribute to metals bound to the component. The amount of metals bound to organic matter and sulfides might be extracted during leaching by H2O2 in an acid medium. Postma et al. (2007) confirmed that H2O2 could be used for the oxidation method and successfully attacked organic matter, resulting in minimum alteration of the silicates. The organic matter in sediment has been subdivided into four categories: anthropogenic, humic acids, fulvic acids, and yellow organic acids (Ratuzny et al., 2009). The carboxylate and phenol groups in the humic acids easily form complexes with metal ions. We modified the procedure using the common oxidant H2O2 35% by adding a heated process and HNO3 15 M for decomposing the oxidizable fractions in sediment.
Metal contents in the oxidizable fraction were recorded at high levels at the West side of Kashidoki Bridge site on the Sumida River as follows: Pb (13.3 ppm), Zn (28.9 ppm), As (1.53 ppm), Cu (72.0 ppm), Ca (242 ppm), Fe (2776 ppm), and Mn (39.5 ppm). At site 40 km, on the Chao Phraya River metal contents such as Zn (43.8 ppm), As (21.4 ppm), Cu (593 ppm), and Mn (21.4 ppm) were much higher than at other sites (Table 1). The high metal contents recorded at that site indicated that those metals were trapped in humic acids in the sediment. Metals found in this fraction will be released into the river when they react with domestic or industrial waste containing peroxide.
The partitioning of metal contents into H2O2 solution in the oxidizable factions is also shown in Table 2 and Fig. 2. The average values including the range of metal contents leached by H2O2 are listed in Table 2. The level of total concentrations sequences were as follows: Cu > Pb > As > Mn > Fe > Cd > Zn > Ca in the Sumida River and Cu > As > Pb > Cd > Zn > Fe > Ca > Mn in the Chao Phraya River’s sediments. Compared to other fractions, the ranged concentrations of Cd (0.01–0.14 ppm) and Mn (5.49–39.5 ppm) in the Sumida River and Cd (0.01–0.09 ppm), Ca (5.00–1679 ppm), and Mn (1.36–21.4 ppm) in the Chao Phraya River were low (Table 2). The levels of medium to high metal contents were Pb (19.4%), Cd (5.71%), Zn (4.22%), Ca (0.53%), Fe (10.2 %), As (15.3%) and Cu (48.3%) when compared to their fractions in the Sumida River sediment (Fig. 2a). Pb (11.6%), Zn (5.92 %), Fe (4.56%), As (2.53%), and Cu (61.2 %) also showed medium to high levels in the Chao Phraya River sediment (Fig. 2b). Cu was most successfully leached H2O2 35% in both rivers’ sediments. The high Cu content in this fraction may be the result of a high affinity for complexing with organic matter. This was consistent with the findings of other studies (Yu et al., 2001; Ratuzny et al., 2009). In addition, Yu et al. (2001) confirmed that there was a positive correlation between the increasing concentrations of Cu with the increasing organic matter content from humic acid in the river sediment. The reaction of Cu in humic acid (HA) with H2O2 in sediment may be written as follows:
3.1.5 Residual fraction
According to Filgueras et al. (2002), concentrated nitric acid can be used to dissolve metals released in the residual material fraction, such as in refractory organic matter and undissolved amorphous oxides. We combined the concentrated HNO3 and HF to strongly dissolve metals which were bound to clays and other silicate minerals. Using HF solution in sediment produces silicon tetrafluoride gas and a solution/slurry containing aluminum fluoride and undigested oxides.
On the Sumida River, the highest concentrations of the heavy metals Pb (31.0 ppm), Cd (0.08 ppm), Zn (23.4 ppm), and Fe (11,634 ppm) were observed at the West side of Kashidoki Bridge; high concentrations of Cu (28.5 ppm), Ca (151 ppm), and Mn (71.3 ppm) were recorded at Hamcho and As (4.73 ppm) was also recorded at Continental Hotel (Table 1). In the Chao Phraya River, the concentrations of Pb (51.0 ppm), Cd (0.65 ppm), Zn (152 ppm), As (40 ppm), Cu (111 ppm), and Mn (40.0 ppm) were highest at the site 40 km from the river mouth. Metal contents in this fraction can be released into river when they react with fluoride compounds which originate from domestic sewage or industrial chemical waste.
The proportion of metal contents in the HNO3 + HF leached fraction is shown in Fig. 2. The highest portions of Pb (49.6%), As (47.1%), Fe (55.9%), and Mn (29.2%) in the Sumida River and Pb (62.6%), Cd (57.1%), As (71.7%), Ca (42.2%) and Fe (62.7%) in the Chao Phraya River’s sediments are released from the residual fraction, suggesting that these metals are bound to SiO2 and Al2O3 (Fig. 2a and b). The highest concentrations of Pb, Fe, and As in both rivers’ sediments may also indicate incomplete dissolution of their oxides by the reducing reagent. However, we assume that Pb, Cd, As, and Fe within the residual fraction mainly originated from the parent materials of the sediment. In addition, Filgueiras et al. (2002) reported that the average metal contents of the HF leached fraction are closely identical to their average contents in granitic rocks.
The reaction of metals in this fraction may be written as follows (Example Pb):
Sediment-SiO2-Al2O3-Pb(s) + 8 HNO3(aq) → Pb(NO3)2(aq) + 2 Al(NO3)3(aq) + Sediment-SiO2-Pb(s) + 8H+(aq)
Sediment-SiO2-Pb + 4 HF → Pb2+(aq) + SiF4(g) + 2H2O(l)
3.1.6 Total level concentrations
The total level concentrations are the summations of the concentrations of metal contents in the mobile/exchangeable, soluble, reducible, oxidizable, and residual fractions. The concentrations of Cd and Zn of the sampled sediment in the Sumida River exceeded the Japanese background sediment values (Cd = 0.14 ppm; Zn = 109 ppm) observed from Wijaya et al. (2012). The contents of Pb, As, Fe and Mn in the Sumida River were low compared with the same metals in the Chao Phraya River (Table 2). The contents of Pb (62.6 ppm), Cd (0.59 ppm), Zn (220 ppm), and Cu (78.4 ppm) in the Chao Phraya River were high when compared with the same metals in the background Chao Phraya River sediment at the site 81 km from the river mouth (Pb = 18.0 ppm; Cd = 0.14 ppm; Zn = 19.7 ppm; Cu = 9.72 ppm) as reported by Wijaya et al. 2013. We suggest that the high level of pollution of the Chao Phraya River is anthropogenic and is associated with runoff from Bangkok. Carman et al. (2007) reported that the total Pb contamination was relatively significant compared to other metals in sediment to assess the environmental pollution in surrounding areas. Table 3 shows the coefficients of correlation between Pb, Cd, Zn, As, and Cu with Fe, Ca, and Mn concentrations in river sediments. The high coefficient of correlation for Fe is only listed for Pb and As concentrations. It may be suggested that Pb and As were found to be the most extracted from the Fe-oxides in sediment. Most As and Fe were in the residual fractioned sediment, suggesting natural inputs from the source of their parent materials (Fig. 2).
Pb
Cd
Zn
As
Cu
Sumida River
Fe
0.64
0.06
0.01
0.41
0.06
Ca
0.09
0.30
0.003
0.006
0.08
Mn
0.15
0.0003
0.0002
0.12
0.02
Chao Phraya River
Fe
0.68
0.37
0.15
0.70
0.001
Ca
0.14
0.00001
0.01
0.22
0.006
Mn
0.06
0.02
0.01
0.13
0.03
The comparison of the total level of metal contents in the Sumida, Chao Phraya, and other river sediments from other countries is presented in Table 4. The different levels of metal contents may be affected by both geogenic and anthropogenic factors. The averages of heavy metal contents in the Ganges and Nemunas River sediments were based on the analysis of grained river sediments (<63 μm). For this study, we used the solid fraction of <50 μm river sediment in our sample. This solid fraction is recognized as the most chemically active sediment phase (Postma et al., 2007). As listed in Table 4, the total fractions of Pb (62.6 ppm), Zn (240 ppm), As (27.2 ppm), Fe (16,636 ppm) and Mn (419 ppm) in the <50 μm grain sediments from the Chao Phraya River showed higher values when compared with those of the fine and bulk sediments in the Sumida, Ganges, Nemunas, and Han Rivers, indicating more anthropogenic activities in the Bangkok. In addition, the levels of Pb (79.8 ppm), Cd (0.80 ppm), Zn (502 ppm), and Cu (184 ppm) of the <20 μm grained sediment of the Buriganga River were higher compared to other river sediments (Table 4). This may be due to more human activities in Bangladesh’s cities and the size of the fraction analyzed. However the total levels of Pb, Cd, Zn, and Cu in the Sumida and Chao Phraya Rivers’ sediments exceeded those in the average for global sediments (Pb: 20.0 ppm, Cd: 0.30 ppm, Zn: 2–1000 ppm, Cu: 0–192 ppm) as well as the unpolluted sediments from the Canadian sites using the standard analytical procedures for the assessment of contamination of the sediments (Pb: 22.0 ppm, Cd: 0.30 ppm, Zn: 97.0 ppm, Cu: 34 ppm) as reported by Wijaya et al. (2012, 2013). Compared with the World Health Organization’s (WHO) recommended guidelines for Pb (31 ppm), Zn (123 ppm), and Cu (16 ppm) in sediment (Ozturk et al., 2009; Li, 2014), the levels of heavy metals in the Sumida and Chao Phraya Rivers sediments were reported as being higher. These data can be used as a guide for the governments to focus more on possible sources of heavy metal contamination surrounding the rivers.
Metal contents
Sumida River, Japan
Chao Phraya River, Thailand
Ganges River, Indiaa
Nemunas River, Russiab
Han River, South Koreac
Buriganga River, Bangladeshd
Pb
39.7
62.6
22
32
35.1
79.8
Cd
0.64
0.59
0.58
0.34
0.22
0.8
Zn
237
220
105
94
126
502
As
5.44
27.2
–
–
6.77
–
Cu
860
78.4
55
29
29.7
184
Ca
30,021
11,807
–
–
–
–
Fe
15,033
16,707
40,350
–
32,600
–
Mn
155
8312
1765
–
666
–
Total level concentrations in sediment samples were leached using the sequential leaching technique. This method could explain the concentration levels in each sediment fraction clearly. The previous surveys showed that the sampling sites were affected by anthropogenic inputs using partial leaching (Wijaya et al. 2012; Wijaya et al. 2013) (Fig. 3). We compared the sequential leaching technique with their studies. Two kinds of chemical leaching solutions were compared in the Sumida and Chao Phraya River sediments: (1) The chemical sequential leaching of this study (Fig. 3 and Table 2) and (2) Partial leaching (Wijaya et al., 2012) (Fig. 3). We compared those methods in the collected sediment with the same type, date, and location. This sequential leaching technique showed that the partial leaching performed by Wijaya et al. (2012) could not clearly explain which part of the sediment fraction was most contaminated by heavy metals. The partial leaching as reported by Wijaya (2012) was preferred and chosen just for the assessment and evaluation of heavy metal contents for monitoring pollution in river sediment. Fig. 3a and b shows the comparisons of the methods to leach heavy metals in sediment. The subsequent leaching technique clearly shows the heavy metals in each fraction through their partition level concentrations. Fig. 3 shows that the partial leaching (Wijaya et al. 2012) extracted the heavy metals at only 70–90% from the total concentrations when compared to the sequential leaching technique. The partial leaching can totally dissolve heavy metals in the mobile and soluble fractions and part of the reducible and oxidizable fractions. It cannot dissolve the metals from the residual fraction. The partial leaching could dissolve the metals that came from anthropogenic input, and the sequential leaching technique could distinguish the portion of metals associated with anthropogenic and natural sources. The largest partitioning of Pb, Cd, Zn, and Cu in river sediment was associated with the oxidizable and reducible fractions (>50%) (Fig. 3). The metals in the mobile/exchangeable, soluble, reducible, and oxidizable partitions seemed to result mainly from anthropogenic inputs whereas the residual fractions were mainly affected by natural sources.The comparison of Pb, Zn, Cu, (a) and Cd (b) concentrations in the five fractions obtained by the sequential leaching technique and partial leaching (PL) (Wijaya et al. (2012, 2013)) of the Sumida and Chao Phraya River sediments. SR and CP indicate Sumida River and Chao Phraya River, respectively.
3.2 Model adsorptions of heavy metal in sediment
The chemical characteristic of sediment is important to understand the component solid phases for adsorbing heavy metals. The X-ray diffraction patterns in the contaminated sediments in the Sumida and Chao Phraya Rivers are shown in Figs. A1 and A2. In order to understand the mineral contained in the sediment, we used the standard reference using the Crain‘s Petrophysical Handbook. As shown in Fig. A1, the peak at 26.600° 2θ indicates the presence of aragonite at the Continental Hotel. Two peaks were recorded at 26.680 and 29.460 (degrees 2θ) which indicate the presence of both aragonite and calcite at the West Side of the Kashidoki Bridge. The eleven spectra of the sediments from the East Side of the Kashidoki Bridge showed peaks at 26.240° 2θ (aragonite), 27.220° 2θ (potassium feldspar), 29.440° 2θ (calcite), 31.100° 2θ (ankerite), 33.140° 2θ (pyrite), and several peaks at 36.020° 2θ, 37.880° 2θ, 39.440° 2θ, 43.200° 2θ, 45.880° 2θ, and 52.420° 2θ for unknown minerals. The primary peak at 26.680° 2θ in Hamcho’s sediment was the same as with the Continental Hotel site, indicating aragonite minerals. Three peaks for contaminated sediment at Asakusa were recorded at 20.900° 2θ, 26.680° 2θ, and 27.800° 2θ indicating quartz, aragonite, and potassium feldspar, respectively. Fig. A2 shows the spectra of contaminated sediment from the 40 km, 44 km, and 50 km (I), 50 km (II), and 50 km (III) sample sites from the mouth of the Chao Phraya River. The spectra for the 40 km site indicate the presence of quartz (20.960° 2θ), plagioclase (22.460° 2θ), aragonite (26.700° 2θ), potassium feldspar (27.560° 2θ) and two peaks at 50.220° 2θ and 60.040 ° 2θ for unknown minerals. Three peaks were identified at 20.900° 2θ, 26.720° 2θ, and 28.040° 2θ at the 44 km from river mouth site indicating the presence of quartz, aragonite and plagioclase, but two peaks at 23.900° 2θ and 50.200° 2θ represent unknown minerals. The spectra for the 50 (I), 50 (II), and 50 (III) km sites had the peaks at the same patterns. It may be suggested that the sediment locations contained heavy metals from the same mineral sources. The sites 50 km from the river mouth have the nine peaks identified at 20.900° 2θ (quartz), 26.700° 2θ (aragonite), 27.640° 2θ (potassium feldspar) and 6 peaks for unknown minerals. Virtually all of the peaks of contaminated sediments in the Sumida and Chao Phraya rivers attributed to the Si, Ca, and Al in the sediment.X-ray diffraction analysis of Sumida River sediments.
X-ray diffraction analysis of Sumida River sediments.
X-ray diffraction analysis of the Chao Phraya River sediments.
X-ray diffraction analysis of the Chao Phraya River sediments.
In order to continue studying the adsorption capacities of metal by sediment, we used samples from the 40 km Chao Phraya River site as they were found to have the highest level of contamination in comparison with other sites on the Chao Phraya. The X-ray diffraction pattern in this sediment also showed complexed minerals such as quartz, plagioclase, aragonite, and potassium feldspar, indicating the sources of Si, Ca, and Al as SiO2, CaCO3, and Al2O3, respectively. This sediment contained the portions of organic carbon (2.39%), hydrogen (1.38%), and nitrogen (0.81%). SiO2, CaCO3, Al2O3 and organic contents in mineral sediment are adsorbents, which indicate potential means of determining the adsorption capacities for heavy metals. The adsorption capacities of heavy metals in the sediment were then modeled.
The adsorption capacities of heavy metals for sediment revealed that the sediments are chemical fossils which can be used to store heavy metals when heavy metals contaminate the river, as they are then adsorbed by river sediment. The adsorption capacities of heavy metals into sediment are listed in Table 5. The concentrations of metals in residues after the spiked metal concentrations (0.25, 0.50. 0.75, 1, and 10 ppb) with time contacts at 5 h, 1 day, and 5 days are in the following order: Cd (∼0.0001 ppb) < Pb (0.0004–0.015 ppb) < Cu (0.007–0.023 ppb) < Cr (0.012–0.020 ppb) < Zn (0.014–0.057 ppb) at 5 h; Cd (∼0.0001 ppb) < Pb (∼0.01 ppb) < Cu (0.002–0.013 ppb) < Cr (0.01–0.02 ppb) < Zn (0.01–0.05 ppb) at 1 day; Cd (∼0.0001 ppb) < Pb (0.05–0.08 ppb) < Cu (0.07–0.14 ppb) < Cr (0.05–0.08 ppb) < Zn (0.15–0.32 ppb) at 5 days (Table 5). The percentages adsorbed by the sediments were very high, at almost >90% of all metal ions (except for Cu, Zn, and Pb at the 5-day contacts). These are evident of a high capability of adsorption of heavy metals by sediment. The adsorption capacity of sediment increases with increasing initial metal concentrations, suggesting that sediment can act to store and record the levels of heavy metals.
Metal contents
Metal concentrations spiked/initial (Ci) (ppb)
Metal concentrations residual (Cr) (ppb)
% Adsorbed
Adsorption capacities (Ac) (μg/g)
pH
Time
Cr
0.25
0.017
93.0
0.07
0.50
5 h
0.50
0.018
96.4
0.15
0.60
0.75
0.013
98.3
0.37
0.50
1.00
0.020
98.0
0.42
0.40
10.0
0.012
99.9
4.41
0.50
Cu
0.25
0.018
93.0
0.07
0.50
0.50
0.019
96.3
0.15
0.60
0.75
0.007
99.0
0.37
0.50
1.00
0.023
97.7
0.42
0.40
10.0
0.004
99.9
4.41
0.50
Zn
0.25
0.051
79.5
0.06
0.50
0.50
0.053
89.5
0.14
0.60
0.75
0.025
96.6
0.36
0.50
1.00
0.057
94.3
0.40
0.40
10.0
0.014
99.9
4.41
0.50
Cd
0.25
0.0001
99.9
0.08
0.50
0.50
0.0001
99.9
0.15
0.60
0.75
0.0001
99.9
0.37
0.50
1.00
0.002
99.8
0.42
0.40
10.0
0.000
99.9
4.41
0.50
Pb
0.25
0.011
95.7
0.07
0.50
0.50
0.015
96.9
0.15
0.60
0.75
0.009
98.8
0.37
0.50
1.00
0.015
98.5
0.42
0.40
10.0
0.004
99.9
4.41
0.50
Cr
0.25
0.02
93.2
0.07
1.00
1 day
0.50
0.02
96.7
0.15
0.90
0.75
0.01
98.6
0.23
1.00
1.00
0.01
98.6
0.30
0.90
10.0
0.02
99.8
3.06
0.90
Cu
0.25
0.01
95.4
0.07
0.88
0.50
0.01
97.8
0.15
0.86
0.75
0.002
99.7
0.23
0.84
1.00
0.004
99.6
0.30
0.82
10.0
0.013
99.9
3.06
0.80
Zn
0.25
0.05
81.2
0.06
0.78
0.50
0.04
91.5
0.14
0.76
0.75
0.01
98.7
0.23
0.74
1.00
0.02
97.9
0.30
0.72
10.0
0.04
99.6
3.05
0.70
Cd
0.25
0.00000001
99.9
0.08
0.68
0.50
0.00000150
99.9
0.15
0.66
0.75
0.00000004
99.9
0.23
0.64
1.00
0.00001360
99.9
0.31
0.62
10.0
0.00125960
99.9
3.06
0.60
Pb
0.25
0.01
95.3
0.07
0.58
0.50
0.01
97.2
0.15
0.56
0.75
0.01
99.1
0.23
0.54
1.00
0.01
99.3
0.30
0.52
10.0
0.01
99.9
3.06
0.50
Cr
0.25
0.08
66.1
0.05
0.80
5 days
0.50
0.08
83.1
0.13
0.80
0.75
0.05
93.1
0.21
0.80
1.00
0.06
93.8
0.29
0.70
10.0
0.05
99.5
3.05
0.80
Cu
0.25
0.14
43.4
0.03
0.75
0.50
0.14
72.1
0.11
0.74
0.75
0.07
90.2
0.21
0.73
1.00
0.09
91.2
0.28
0.72
10.0
0.07
99.3
3.04
0.71
Zn
0.25
0.17
31.5
0.02
0.70
0.50
0.32
35.7
0.05
0.69
0.75
0.16
78.7
0.18
0.68
1.00
0.18
81.9
0.25
0.67
10.0
0.15
98.5
3.01
0.66
Cd
0.25
0.00
99.8
0.08
0.65
0.50
0.00
99.9
0.15
0.64
0.75
0.00
99.9
0.23
0.63
1.00
0.00
99.9
0.31
0.62
10.0
0.00
99.9
3.06
0.61
Pb
0.25
0.08
69.0
0.05
0.60
0.50
0.09
81.7
0.12
0.59
0.75
0.05
92.8
0.21
0.58
1.00
0.05
95.0
0.29
0.57
10.0
0.05
99.5
3.05
0.56
The adsorption capacities of heavy metals as a function of contact time are shown in Fig. 4. The maxima of the adsorption capacity of heavy metals in sediment were recorded at 5 h, particularly for the percentage of adsorbed Cd (∼99%) and Pb (95.7–99.9%) (Table 5, Fig. 4). These plots also show that the remaining metal ion concentrations after 1 day. This time represents the time at which an equilibrium is presumed to have been attained. It may be suggested that the particles of phase binding such as clay, silica, iron-mangan oxides, and organic matter in sediments completely adsorbed the metals at that time. Ratuzny et al. (2009) confirmed that the adsorption of heavy metals by river sediment increases with the presence of organic particles and finer mineral grains. The finer mineral grains (<50 μm) used in this experiment are important in increasing the adsorption capacity of the sediment to strongly bind Cd and Pb ions due to their affinity and surface activity.Relationship between the variation of time contacts and adsorption capacities (μg/g) of heavy metals by river sediment.
As listed in Table 5, the metal residue in the solution has the pH range 0.4–1. The lower pH 0.4–1 in metal concentration residue affected the adsorption capacity of sediment. Zang et al. (2011) reported that lower pH in the solution after heavy metal adsorption by sediment is possibly due to cation exchange interactions, metallic complexation, and coulombic interaction mechanism processes. It indicates that pH is one of the important parameters in controlling adsorption of heavy metal ions on sediments. The percent adsorbed and the adsorption capacity of Cd by sediment are highest when compared to other metals in the pH range 0.4–0.6 (Table 5). Postma et al. (2007) confirmed that Cd ions form complexes with dissolved humic acid at a low pH ∼ 1. They also demonstrated that Cd has a strong affinity for naturally occurring dissolved humid acid at low pH. Based on the previous reports, we suggest that the solubility of Cd is the factor by which Cd is adsorbed onto humid acid as organic particulates in sediment, which affects the adsorption and removal of Cd from the dissolved phase to the particulate phase, resulting in deposition in the sediment. The effect of the adsorption capacity was supported by the presence of organic contents in sediment. The result X-ray diffraction of the sediments indicated the effect of minerals as adsorbents, such as SiO2, CaCO3, and Al2O3 (Fig. A2). The higher dissolved phase of Cd in river water from anthropogenic inputs may originate from municipal, agricultural, and industrial sources in Bangkok, which affects the dissolution of Cd from the river water to sediment (Wijaya et al., 2013).
3.2.1 Langmuir and Freundlich isotherms in sediment
In order to provide insight into the adsorption of heavy metals by sediment, we described it in terms of the Langmuir and Freundlich adsorption equations. In this case, we focused on the data of the maximum heavy metal adsorption capacities at the 5 h time contact. The calculations of the Langmuir and Freundlich equations are listed in Table 6. The results of the plots of Cr/Ac against Cr and log Ac against log Cr, including b and k, are calculated and listed in Table 7.
Metal contents
(Cr)
Langmuir equation
Freundlich equation
Ac (μg/g)
Cr/Ac
Log Ac
Log Cr
Cr
0.017
0.07
0.24
−1.15
−1.76
0.018
0.15
0.12
−0.83
−1.75
0.013
0.37
0.04
−0.44
−1.89
0.020
0.42
0.05
−0.38
−1.70
0.012
4.41
0.00
0.64
−1.93
Cu
0.018
0.07
0.25
−1.15
−1.75
0.019
0.15
0.13
−0.83
−1.73
0.007
0.37
0.02
−0.43
−2.13
0.023
0.42
0.05
−0.38
−1.65
0.004
4.41
0.00
0.64
−2.35
Zn
0.051
0.06
0.84
−1.22
−1.29
0.053
0.14
0.39
−0.87
−1.28
0.025
0.36
0.07
−0.44
−1.60
0.057
0.40
0.14
−0.40
−1.25
0.014
4.41
0.003
0.64
−1.85
Cd
0.0001
0.08
0.001
−1.12
−4.10
0.0001
0.15
0.001
−0.82
−3.91
0.0001
0.37
0.000
−0.43
−4.01
0.002
0.42
0.004
−0.37
−2.82
0.000
4.41
0.000
0.64
−3.97
Pb
0.011
0.07
0.15
−1.14
−1.97
0.015
0.15
0.10
−0.83
−1.81
0.009
0.37
0.02
−0.43
−2.04
0.015
0.42
0.04
−0.38
−1.83
0.004
4.41
0.001
0.64
−2.37
Metal contents
Langmuir equation
Freundlich equation
Cr
Y = 13.068X − 0.1183
Y = −4.6138X − 8.7618
r2 = 0.23
r2 = 0.46
b = 0.08
n = −0.217
k = −106
k = 1.74 · 10−9
Cu
Y = 7.1365X − 0.011
Y = −1.7447X − 3.7848
r2 = 0.31
r2 = 0.61
b = 0.140
n = −0.573
k = −649
k = 1.74 · 10−9
Zn
Y = 10.82X − 0.144
Y = −2.2463X – 3.718
r2 = 0.36
r2 = 0.71
b = 0.097
n = −0.445
k = −71.5
k = 1.914 · 10−4
Cd
Y = 2.1429X + 0.0003
Y = 0.1119X + 0.0026
r2 = 0.94
r2 = 0.001
b = 0.467
n = 8.403
k = 7137
k = 1.006
Pb
Y = 6.5905X − 0.0091
Y = −2.3741X − 5.1824
r2 = 0.24
r2 = 0.64
b = 0.152
n = −0.422
k = −724
k = 6.5705 · 10−6
The five sets of Cr/Ac and Cr data corresponding to the spiked metal ion concentrations of 0.25, 0.50, 0.75, 1.00, and 10.0 ppb of five metal ions were fitted to the linear regression of Langmuir’s equation in each case. The results from the calculations of Ac in the Langmuir equation are almost uniform, with a range of 0.07–4.41 ug/g, while Cr/Ac varied depending on the residual metal concentrations (Table 6). The b and k from the treated data of metal adsorptions are calculated from the slope and intercept of each curve with its equation (Table 7). Among the five metals, only Cd fits with the Langmuir equation. The correlation coefficients (r2 = 0.94), b (0.467) and k (7137) indicate that the adsorption data of Cd show significant conformity to the Langmuir’s equation (Table 7). Relatively high values of b indicate that the contaminated sediment studied has a substantial maximum adsorption capacity of Cd ions. The values of k are also high, suggesting strong binding between sediments and contaminations of Cd.
Because the correlation coefficients of Cr, Cu, Zn, and Pb using the Langmuir equation were very low, we continued applying the relationship between log Ac and log Cr and then found r2 and calculated b and k. The treated data of the adsorption of heavy metals using the Freundlich equation are listed in Table 7. The results showed a positive correlation coefficient (r2Cr = 0.46, r2Cu = 0.61, r2Zn = 0.71, and r2Pb = 0.64) to be higher when compared with the Langmuir equation, suggesting that metals adsorbed by sediment followed the significant conformity to the Freundlich equation instead.
4 Conclusions
The pattern of geochemical fractions in Sumida and Chao Phraya Rivers’ sediments showed the maxima leached levels of Cd (38.6 %), Ca (55.2%), and Mn (41.3%) in the soluble fraction; Pb (52.1%), and Zn (56.7%) in the reducible fraction; Cu (61.2%) in the oxidizable fraction suggesting the effect from the anthropogenic inputs. The composition of As (47.1%) and Fe (55.9%) in the residual fraction indicates that these elements were associated with the natural inputs. In addition, the maxima adsorption capacities of Pb, Cd, Cu, Cr, and Zn in the highest contaminated sediment were recorded at 5 h and their model of Cd adsorption fits to the linear form of Langmuir’s equation, whereas Pb, Cu, Cr, and Zn fit to the linear form of Freundlich equation.
Acknowledgment
This work was partly supported by the Japanese Ministry of Education Science through JSPS Foundation (No. 23510029 and 26340051) and the International Research Hub Project for Climate Change and Coral Reef/Island Dynamics of University of the Ryukyus 2015.
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