Skip to main content
Data in Brief logoLink to Data in Brief
. 2017 Oct 12;15:584–590. doi: 10.1016/j.dib.2017.10.017

Pollution load index for heavy metals in Mian-Ab plain soil, Khuzestan, Iran

Sahand Jorfi a,b, Rohangiz Maleki b, Neemat Jaafarzadeh a,b, Mehdi Ahmadi a,b,
PMCID: PMC5653243  PMID: 29071297

Abstract

Soil pollution by heavy metals is a major concern in agricultural area. Potential impact of heavy metals in agricultural soil on human health by accumulating in food chain demonstrated elsewhere.

In this regard Mian-Ab plain as a major agricultural site of Khuzestan province considered for Arsenic, cadmium and lead concentration as the main potential toxic pollutants in soil. 50 topsoil samples were collected and analyzed by inductively coupled plasma mass spectrometry (ICP-MS). Also Contamination level of selected heavy metals in Mian-Ab Plain, was assessed by single factor contaminant index (PI) and pollution load index (PLI). Results show mean concentration of arsenic, cadmium and lead were 2.52, 0.30 and 7.21 mg kg−1. Base on PLI results 12 point (24%) of the studied area show moderately polluted and 38 point (76%) show unpolluted area.

Keywords: Soil pollution, Pollution load index, Heavy metals, Mian-Ab plain


Specifications Table

Subject area Environmental monitoring
More specific subject area Soil pollution monitoring
Type of data Table and Figures
Data format Raw and Analyzed
Experimental factors 50 soil samples analyzed for cadmium, Arsenic and Lead concentration
Experimental features Upon soil sampling from selected point, cadmium, Arsenic and Lead concentration in soil samples measured by inductivity coupled plasma, descriptive statistics' was done and distribution maps of selected heavy metals prepared. Also pollution level was assessed using single pollution indices and pollution load index.
Data source location Shushtar, Khuzestan, Iran, 31°40′ and 32°05′ N and 48°45′ and 49°00′ E
Data accessibility Data are available in the article

Value of the data

  • Arsenic, cadmium and lead are the main potentially toxic pollutants.

  • Mian-Ab Plain is one of the most agricultural sites in Khuzestan province.

  • Soil pollution by heavy metals is the major concern in developing countries.

1. Data

Table 1 shows Descriptive statistics of selected heavy metals in Mian-Ab plain soil also Fig. 1, Fig. 2, Fig. 3 show distribution of Arsenic, cadmium and lead in Mian-Ab plain respectively. Table 2 shows single pollution indices and pollution load index of selected heavy metals.

Table 1.

Descriptive statistics of selected heavy metals in Mian-Ab plain soil.

Item Ar (mg kg−1) Cd (mg kg−1) Pb (mg kg−1)
N 50 50 50
Mean 2.5220 0.3030 7.2140
Std. Error of Mean 0.11785 0.00758 0.45062
Median 2.3500 0.3000 6.6500
Mode 2.10 0.31 6.00
Std. Deviation 0.83331 0.05361 3.18639
Variance 0.694 0.003 10.153
Skewness 1.272 5.712 5.337
Std. Error of Skewness 0.337 0.337 0.337
Kurtosis 2.397 37.353 31.827
Std. Error of Kurtosis 0.662 0.662 0.662
Range 4.30 0.40 21.60
Minimum 1.00 0.25 5.40
Maximum 5.30 0.65 27.00
Sum 126.10 15.15 360.70
Percentiles 25 2.0000 0.2800 6.0000
50 2.3500 0.3000 6.6500
75 2.8750 0.3100 7.2000

Fig. 1.

Fig. 1

Map of arsenic distribution in Mian-Ab plain.

Fig. 2.

Fig. 2

Map of cadmium distribution in Mian-Ab plain.

Fig. 3.

Fig. 3

Map of lead distribution in Mian-Ab plain.

Table 2.

Single pollution indices (PI) and pollution load index (PLI) for selected heavy metals in Mian-Ab plain.

Sample ID X Y Z AS
Cd
Pb
PLI
Conc. PI Conc. PI Conc. PI
1 295,018 3545,035 37 3.2 1.269 0.31 1.02 14.7 2.0 1.4
2 294,968 3543,723 33 3.2 1.280 0.31 1.03 27.0 3.8 1.7
3 294,425 3543,546 45 1.9 0.760 0.27 0.90 5.4 0.8 0.8
4 295,018 3542,297 35 2.7 1.080 0.31 1.03 7.7 1.1 1.1
5 296,443 3542,297 52 2.0 0.800 0.29 0.97 7.2 1.0 0.9
6 293,595 3540,873 53 2.1 0.840 0.27 0.90 5.6 0.8 0.8
7 290,747 3539,449 54 2.4 0.960 0.32 1.07 5.9 0.8 0.9
8 295,019 3539,449 49 2.1 0.840 0.35 1.17 6.0 0.8 0.9
9 297,867 3540,873 53 1.8 0.720 0.30 1.00 7.4 1.0 0.9
10 295,018 3540,870 38 2.0 0.800 0.30 1.00 6.5 0.9 0.9
11 296,443 3538,025 52 2.2 0.880 0.31 1.03 6.0 0.8 0.9
12 299,291 3538,025 52 1.5 0.600 0.28 0.93 8.9 1.2 0.9
13 300,715 3536,601 52 2.1 0.840 0.28 0.93 7.0 1.0 0.9
14 297,867 3536,601 52 2.4 0.960 0.29 0.97 7.6 1.1 1.0
15 292,197 3542,670 35 3.2 1.280 0.31 1.03 6.4 0.9 1.1
16 292,171 3536,601 54 3.4 1.360 0.32 1.07 6.7 0.9 1.1
17 295,019 3535,177 40 2.6 1.040 0.28 0.93 5.5 0.8 0.9
18 297,867 3535,177 55 1.4 0.560 0.30 1.00 8.7 1.2 0.9
19 300,715 3535,177 55 2.8 1.120 0.30 1.00 8.7 1.2 1.1
20 303,563 3535,177 44 2.3 0.920 0.27 0.90 5.6 0.8 0.9
21 293,595 3533,753 25 3.2 1.280 0.25 0.83 7.2 1.0 1.0
22 297,867 3533,753 25 5.3 2.120 0.33 1.10 7.6 1.1 1.4
23 300,715 3533,753 43 2.3 0.920 0.28 0.93 5.9 0.8 0.9
24 303,563 3533,753 43 2.2 0.880 0.31 1.03 6.0 0.8 0.9
25 306,411 3533,753 43 2.5 1.000 0.29 0.97 6.6 0.9 1.0
26 299,291 3532,329 43 2.2 0.880 0.29 0.97 6.3 0.9 0.9
27 302,139 3532,329 43 2.1 0.840 0.30 1.00 6.3 0.9 0.9
28 304,987 3532,329 42 2.4 0.960 0.29 0.97 7.0 1.0 1.0
29 297,185 3546,158 42 2.8 1.120 0.28 0.93 6.1 0.8 1.0
30 297,185 3546,158 42 4.4 1.760 0.65 2.17 7.9 1.1 1.6
31 300,715 3530,905 42 3.3 1.320 0.28 0.93 6.8 0.9 1.1
32 303,563 3530,905 45 2.8 1.120 0.28 0.93 5.5 0.8 0.9
33 306,411 3530,905 46 3.1 1.240 0.31 1.03 6.1 0.8 1.0
34 307,835 3529,481 46 1.3 0.520 0.28 0.93 7.0 1.0 0.8
35 304,987 3529,481 45 2.2 0.880 0.31 1.03 7.2 1.0 1.0
36 302,139 3529,481 45 2.7 1.080 0.30 1.00 6.7 0.9 1.0
37 302,139 3520,937 42 4.8 1.920 0.30 1.00 7.0 1.0 1.2
38 300,715 3528,057 45 3.9 1.560 0.30 1.00 6.7 0.9 1.1
39 303,563 3528,057 45 3.2 1.280 0.31 1.03 6.4 0.9 1.1
40 306,411 3528,057 44 2.4 0.960 0.28 0.93 6.0 0.8 0.9
41 300,715 3526,633 43 2.0 0.800 0.31 1.03 6.0 0.8 0.9
42 303,563 3526,633 44 2.1 0.840 0.28 0.93 5.8 0.8 0.9
43 306,411 3526,633 44 1.9 0.760 0.31 1.03 6.7 0.9 0.9
44 309,259 3526,633 45 2.2 0.880 0.31 1.03 5.9 0.8 0.9
45 306,411 3525,209 45 1.9 0.760 0.32 1.07 6.7 0.9 0.9
46 305,563 3525,209 45 2.6 1.040 0.27 0.90 6.9 1.0 1.0
47 300,715 3523,785 45 1.7 0.680 0.32 1.07 5.8 0.8 0.8
48 305,563 3523,785 44 2.5 1.000 0.26 0.87 6.1 0.8 0.9
49 300,715 3522,361 43 1.0 0.400 0.30 1.00 6.2 0.9 0.7
50 298,291 3520,937 43 1.8 0.720 0.28 0.93 7.8 1.1 0.9

2. Experimental design, materials and methods

2.1. Sampling and analysis procedure

Mian-Ab plain has an area of 28,100 ha, and is located between 31°40′ and 32°05′ northern latitudes and 48°45′ and 49°00′ eastern longitudes, north of Khuzestan province, and south west of Iran. Mian-Ab Plain is bounded between Shotait River and Gargar River [1]. Geologically, the study area is widely characterized by quaternary unconsolidated alluvial sediment. A systematic sampling procedure was performed to provide a sampling scheme over the entire plain. Therefore, in March 2016 (dry season), 50 topsoil samples (0–20 cm) were collected using a stainless steel hand auger (Fig. 4). In each sampling point, a total of 1 ± 0.5 kg of soil was taken from the mixed samples using a quartile method. The collected soil samples were stored in polyethylene bags until transport to the laboratory.

Fig. 4.

Fig. 4

Geological map of Mian-Ab plain and sampling points in the study area.

In the laboratory, all samples were air-dried at room temperature and sieved through a 2-mm sieve. Finally, the dried soil samples were sent to the MS Analytical, Canada. The soil samples were digested using the Aqua Regia, and the concentration of 3 potentially toxic elements (PTEs) including (As, Cd, Pb) was measured using inductively coupled plasma mass spectrometry (ICP-MS) [2], [3], [4], [5], [6].

2.2. Quality assurance (QA) and quality control (QC)

Analytical duplicates/replicates, standard reference material (OREAS 24b, and GBM908-10), and blank reagents were used for QA/QC. Recoveries ranged from 95.6% to 98.74% and the detection limits for As, Cd and Pb were 0.1, 1.88 and 0.2 respectively.

2.3. Soil pollution assessment

Contamination level of selected heavy metals in Mian-Ab Plain, was assessed by single factor contaminant index (PI) and pollution load index (PLI) using Eqs. (1), (2) [7].

PI=Cn/Bn (1)
PLI=PI1×PI2.PIn (2)

Where PI is the single factor pollution index of each metal, Cn and Bn is the concentration of metal in the soil sample and background, respectively (mg/Kg).

PI < 1 (Non polluted); 1 ≤ PI < 2 (Slight polluted); 2 ≤ PI < 3 (Moderately polluted); PI < 3 (Highly polluted).

PLI is pollution load index, n is the number of pollutant assesses (i.r., 3). PI is the single factor pollution index of each metal.

PLI = 0 (background concentration); 0 < PLI ≤ 1 (Unpolluted); 1 < PLI ≤ 2 (Moderately to unpolluted); 2 < PI ≤ 3 (Moderately polluted); 3 < PI ≤ 4 (Moderately to highly polluted); 4 < PI ≤ 5 (Highly polluted); PI > 3 (Very highly polluted).

Acknowledgements

This paper is issued from thesis of Rohangiz Maleki and financial support was provided by Ahvaz Jundishapur University of Medical Sciences (Grant no: ETRC9445).

Footnotes

Transparency document

Transparency document associated with this article can be found in the online version at http://dx.doi.org/10.1016/j.dib.2017.10.017.

Transparency document. Supplementary material

Transparency document

mmc1.docx (13KB, docx)

References

  • 1.Shahsavari A.A., Khodaei K., Asadian F., Ahmadi F., Zamanzadeh S.M. Groundwater pesticides residue in the southwest of Iran-Shushtar plain. Environ. Earth Sci. 2012;65(1):231–239. [Google Scholar]
  • 2.Jaafarzadeh N., Amiri H., Ahmadi M. Factorial experimental design application in modification of volcanic ash as a natural adsorbent with Fenton process for arsenic removal. Environ. Technol. 2012;33(2):159–165. doi: 10.1080/09593330.2011.554887. [DOI] [PubMed] [Google Scholar]
  • 3.Jaafarzadeh N., Ahmadi M., Amiri H., Yassin M.H., Martinez S.S. Predicting Fenton modification of solid waste vegetable oil industry for arsenic removal using artificial neural networks. J. Taiwan Inst. Chem. Eng. 2012;43(6):873–878. [Google Scholar]
  • 4.Ahmadi M., Teymouri P., Setodeh A., Mortazavi M.S., Asgari A. Adsorption of Pb (II) from aqueous solution onto lewatit FO36 nano resin: equilibrium and kinetic studies. Environ. Eng. Manag. J. 2011;10(10) [Google Scholar]
  • 5.Teymouri P P., Jaafarzadeh N., Mostoufi A., Amiri H., Alavi N., Dinarvand M., Ahmadi M. Effect of pretreatment on Ceratophyllum demersum for enhanced biosorption of Cr (VI) and Cd (II) Environ. Eng. Manag. J. 2017;16(2) [Google Scholar]
  • 6.Ahmadi M M., Kouhgardi E., Ramavandi B. Physico-chemical study of dew melon peel biochar for chromium attenuation from simulated and actual wastewaters. Korean J. Chem. Eng. 2016;33(9):2589–2601. [Google Scholar]
  • 7.Ahmadi M., Jorfi S., Azarmansuri A A., Jaafarzadeh N., Mahvi A.H., Darvishi Cheshmeh Soltani R., Akbari H., Akhbarizadeh R. Zoning of heavy metal concentrations including Cd, Pb and As in agricultural soils of Aghili plain, Khuzestan province, Iran. Data Brief. 2017;14:20–27. doi: 10.1016/j.dib.2017.07.008. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Transparency document

mmc1.docx (13KB, docx)

Articles from Data in Brief are provided here courtesy of Elsevier

RESOURCES