Journal of Resources and Ecology, Volume. 11, Issue 5, 435(2020)

Comparison and Analysis of Estimation Methods for Heavy Metal Pollution of Farmland Soils

EZIZ Mamattursun1,1,2,2、*, HAYRAT Adila1,1, and Xiuyun YANG1,1
Author Affiliations
  • 1College of Geographical Science and Tourism, Xinjiang Normal University, Urumqi 830054, China
  • 1新疆师范大学地理科学与旅游学院,乌鲁木齐 830054
  • 2Laboratory of Arid Zone Lake Environment and Resources, Xinjiang Normal University, Urumqi 830054, China
  • 2新疆师范大学新疆干旱区湖泊环境与资源实验室,乌鲁木齐 830054
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    Figures & Tables(7)
    Fig. 1
    • Table 1.

      The calculating formulas for the Pi, Igeo, EF, ER, and Ier Index

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      Table 1.

      The calculating formulas for the Pi, Igeo, EF, ER, and Ier Index

      IndexCalculating formulaCharacteristics of parameters
      PiPi = Ci /BiWhere Ci represents the concentration of element i in the soil sample, and Bi represents the background value of element i
      IgeoIgeo = log2(Ci /1.5Bi)Where Ci and Bi are the same as above, and 1.5 represents a background matrix correction factor that includes possible variations of the background values due to lithogenic effects
      EFEF = (Ci /Cr) /(Bi /Br)Where Ci and Bi are the same as above, Cr is the concentration of the reference metal, and Br is the background value of the reference elements
      ERER = (Ci /Si) × TiWhere Ci is the same as above, Si is the limit-risk concentration of element i, and Ti is the toxic response factor of element i in the soil sample
      IerIer = (Ci /Si) - 1Where Ci and Si are the same as above
    • Table 2.

      Classification of pollution degrees using Pi, Igeo, EF, ER, and Ier

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      Table 2.

      Classification of pollution degrees using Pi, Igeo, EF, ER, and Ier

      ClassPiPollution degreeIgeoPollution degreeEFPollution degreeERRisk degreeIerRisk degree
      ≤0.7Unpolluted≤0Unpolluted≤2Unpolluted≤40Low risk≤0Low risk
      0.7-1Low0-1Unpolluted to moderately2-5Low40-80Moderate risk0-1Moderate risk
      1-2Moderately1-2Moderately5-20Moderately80-160Considerable risk1-3Considerable risk
      2-3High2-3Moderately to strongly20-40High160-320High risk3-5High risk
      > 3Extremely3-4Strongly> 40Extremely> 320Extremely high risk> 5Extremely high risk
      --4-5Strongly to extremely------
      --> 5Extremely------
    • Table 3.

      Descriptive statistics of heavy metal concentrations in agricultural soil samples (n=186)

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      Table 3.

      Descriptive statistics of heavy metal concentrations in agricultural soil samples (n=186)

      ItemsAsCdCrCuMnNiPbZn
      Minimum (mg kg-1)0.520.0533.6819.45312.8219.450.9938.99
      Maximum (mg kg-1)28.870.38123.3973.12789.6855.9796.36434.88
      Median (mg kg-1)4.780.2153.8030.08501.7233.9637.4573.72
      Average (mg kg-1)6.500.2055.7330.52503.2834.2141.1689.31
      Standard deviation (mg kg-1)4.220.0611.636.2261.766.7724.1657.80
      CV0.650.300.210.200.120.200.590.65
      Background value (mg kg-1)11.200.1239.6035.80688.0026.4013.5016.80
      National Standard (GB 15618-2018) (mg kg-1)25.000.60250.00100.00-190.00170.00300.00
    • Table 4.

      Statistics of Pi, Igeo, EF, ER, and Ier values of heavy metals in farmland soils in the study area

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      Table 4.

      Statistics of Pi, Igeo, EF, ER, and Ier values of heavy metals in farmland soils in the study area

      Assessment methodStatisticsAsCdCrCuNiPbZn
      PiMinimum0.050.420.850.540.740.072.32
      Maximum2.583.173.122.042.127.1425.89
      Average0.541.671.410.851.303.055.32
      IgeoMinimum-5.00-1.85-0.82-1.47-1.03-4.350.63
      Maximum0.781.081.050.450.502.254.11
      Average-1.760.07-0.12-0.84-0.240.641.67
      EFMinimum0.070.640.960.731.000.103.81
      Maximum4.164.193.803.103.2511.5330.75
      Average0.742.301.931.171.784.217.27
      ERMinimum0.212.500.270.970.510.030.13
      Maximum11.5519.00.993.661.472.831.45
      Average2.4210.040.451.530.901.210.30
      IerMinimum-0.98-0.92-0.87-0.81-0.90-0.99-0.87
      Maximum0.15-0.37-0.51-0.27-0.71-0.430.45
      Average-0.76-0.67-0.78-0.69-0.82-0.76-0.70
    • Table 5.

      Pollution grades of each element with different assessment methods

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      Table 5.

      Pollution grades of each element with different assessment methods

      Assessing methodAsCdCrCuNiPbZn
      Pi
      Igeo
      EF
      ER
      Ier
    • Table 6.

      Decreasing order of heavy metal pollution

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      Table 6.

      Decreasing order of heavy metal pollution

      Assessing methodOrder
      PiZn > Pb > Cd > Cr > Ni > Cu > As
      IgeoZn > Pb > Cd > Cr > Ni > Cu > As
      EFZn > Pb > Cd > Cr > Ni > Cu > As
      ERCd > As > Cu > Pb > Ni > Cr > Zn
      IerCd > Cu > Zn > As = Pb > Cr > Ni
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    EZIZ Mamattursun, HAYRAT Adila, Xiuyun YANG. Comparison and Analysis of Estimation Methods for Heavy Metal Pollution of Farmland Soils[J]. Journal of Resources and Ecology, 2020, 11(5): 435

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    Paper Information

    Received: Dec. 5, 2019

    Accepted: May. 14, 2020

    Published Online: Oct. 17, 2020

    The Author Email: Mamattursun EZIZ (oasiseco@126.com)

    DOI:10.5814/j.issn.1674-764x.2020.05.001

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