International Journal of Analytical Chemistry / 2015 / Article / Tab 5

Research Article

Risk Assessment and Prediction of Heavy Metal Pollution in Groundwater and River Sediment: A Case Study of a Typical Agricultural Irrigation Area in Northeast China

Table 5

Assessment of heavy metal pollution degree risks in sediment.

NumberThickness (cm)CPI

N10-10–260.780.230.240.440.42
N10-226–400.590.150.070.360.29
N11-10–251.430.480.511.070.87
N11-225–451.230.370.400.850.71
N11-345–500.760.260.240.610.47
N12-10–501.840.310.622.231.25
N13-1-10–51.130.330.360.960.69
N13-1-25–300.270.100.050.320.18
N13-2-10–150.860.280.390.630.54
N13-2-215–401.390.510.370.870.78
N13-2-340–641.390.410.590.870.81
N14-10–230.880.340.400.560.54
N14-223–300.970.410.360.680.61
N14-330–401.320.560.561.160.90
N14-440–500.500.230.230.420.34
N16-10–260.760.240.270.570.46
N16-226–500.730.260.180.600.44
N170–320.730.130.110.430.35
N180–281.420.260.351.290.83
N19-10–51.100.190.570.560.60
N19-25–251.770.440.561.761.13
N20-10–291.460.260.671.210.90
N21-10–51.220.290.401.670.90
N21-25–262.470.861.284.072.17
N24-1Surface layer0.450.150.140.450.30
S14-1Surface layer0.930.310.310.700.56
S16-1Surface layer0.220.080.050.270.15
S19-10–441.080.770.381.020.81
S19-20–441.050.810.420.800.77
S20-10–131.880.460.772.041.29
S20-213–220.920.280.210.750.54

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