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Article

Assessment of Radioactive Materials and Heavy Metals in the Surface Soil around the Bayanwula Prospective Uranium Mining Area in China

1
School of Nuclear Science and Technology, Lanzhou University, Lanzhou 730000, China
2
The Inner Mongolia Autonomous Region Comprehensive Center for Disease Control and Prevention, Huhhot 010031, China
3
College of Geographical Science, Inner Mongolia Normal University, Huhhot 010022, China
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2017, 14(3), 300; https://doi.org/10.3390/ijerph14030300
Submission received: 10 February 2017 / Revised: 7 March 2017 / Accepted: 9 March 2017 / Published: 14 March 2017

Abstract

:
The present work is the first systematic and large scale study on radioactive materials and heavy metals in surface soil around the Bayanwula prospective uranium mining area in China. In this work, both natural and anthropogenic radionuclides and heavy metals in 48 surface soil samples were analyzed using High Purity Germanium (HPGe) γ spectrometry and inductively coupled plasma-mass spectrometry (ICP-MS). The obtained mean activity concentrations of 238U, 226Ra, 232Th, 40K, and 137Cs were 25.81 ± 9.58, 24.85 ± 2.77, 29.40 ± 3.14, 923.0 ± 47.2, and 5.64 ± 4.56 Bq/kg, respectively. The estimated average absorbed dose rate and annual effective dose rate were 76.7 ± 3.1 nGy/h and 83.1 ± 3.8 μSv, respectively. The radium equivalent activity, external hazard index, and internal hazard index were also calculated, and their mean values were within the acceptable limits. The estimated lifetime cancer risk was 3.2 × 10−4/Sv. The heavy metal contents of Cr, Ni, Cu, Zn, As, Cd, and Pb from the surface soil samples were measured and their health risks were then assessed. The concentrations of all heavy metals were much lower than the average backgrounds in China except for lead which was about three times higher than that of China’s mean. The non-cancer and cancer risks from the heavy metals were estimated, which are all within the acceptable ranges. In addition, the correlations between the radionuclides and the heavy metals in surface soil samples were determined by the Pearson linear coefficient. Strong positive correlations between radionuclides and the heavy metals at the 0.01 significance level were found. In conclusion, the contents of radionuclides and heavy metals in surface soil around the Bayanwula prospective uranium mining area are at a normal level.

1. Introduction

Radiation exposure and heavy metal pollution around uranium mining areas have captured worldwide public attention for several decades [1,2,3,4]. The intensive uranium exploitation and the inappropriate management of the residues have had a harmful impact on the environment [4,5,6]. In recent decades, the dose contribution from technologically enhanced naturally occurring radioactive materials is increasing [7,8]. The worldwide annual effective dose to the public from natural radiation exposure is 2.4 mSv [9], while it is 3.1 mSv in China, which increased from 2.3 mSv in 1990s [10,11,12]. The demand for uranium resources in China is increasing with the development of nuclear power industries [9,13,14] and the rising price of uranium internationally [15]. Consequently, the activities on exploiting uranium ores and their hydrometallurgy processes were heavily strengthened and there are also some reports concerning the environmental contamination around uranium mines [16]. However, there have been few specific studies related to radionuclides and heavy metals assessment from uranium mining areas in China, especially around prospective uranium mining areas. A pre-mining study on radiation levels and heavy metals around uranium mining areas could establish a baseline database on the environmental radiation levels and become an essential reference guide for the future [17]. The aim of this study was to establish the radioactive materials and heavy metals contents from the surface soil around the Bayanwula uranium pre-mining area in China due to the lack of published environmental data, to assess the radiation and heavy metals risk for local residents, and to investigate the correlations between the radionuclides and heavy metals.

2. Materials and Methods

2.1. Study Area

The Bayanwula uranium mining region is located in the central part of the Sonid Left district, which is in the northwest part of the XilinGol prairie of Inner Mongolia in China. The study area is about 30 km north of the capital of Sonid Left. The altitude ranges from 1040 m to 1255 m. There are around 34,000 residents in Sonid Left. This region has a continental climate with a warm summer and cold winter. The average annual precipitation is less than 200 mm. The study area is characterized by grassland, not cultivated, and no industries. The sampling was carried out in June 2015 prior to the uranium mining activities. The map of the mining area and sampling locations are shown in Figure 1, in which the sampling locations were mapped using the software ESRI Arc GIS desktop 10.1 (Environmental Systems Research Institute, Inc., Redlands, CA, USA) based on the coordinates determined by the Global Positioning System (GPS).

2.2. Sampling and Preparation

As shown in Figure 1, a total of 48 surface soil samples were collected within about a 30 km radius from the center of the mining area. At each sampling location, a square area of 1 m2 was marked out. Then four samples were collected from the surface layer (up to 10 cm) of the four corners of the square area (1 m × 1 m) using a stainless steel cylindrical sampler (Ø10 cm × H10 cm), mixed, and placed in a labeled polythene bag after removing impurities such as stones, gravels, and roots. In the laboratory, each sample was dried in an oven at 100 °C for more than 24 h to remove the moisture content, homogenized, and was separated into two parts. One of them was sieved through a 0.25 mm mesh. A sample of 338.0 g was weighed and sealed in an airtight polythene (Ø75 cm × H70 cm) cylindrical container and left for more than 30 days to allow 226Ra and its decay products to reach secular equilibrium before further gamma-ray measurement. The concentrations of 238U, 226Ra, 232Th, 40K, and 137Cs were determined by a HPGe γ-ray spectrometry system (Oak Ridge Technology & Engineering Cooperation, Oak Ridge, TN, USA).
The other part was sieved through 0.150 mm mesh and weighed 0.2–0.5 g with accuracy up to 0.1 mg. They were then digested with a concentrated acid mixture (HNO3, HF, and HClO4) (Analytical reagent, EMD Millipore Corporation, Darmstadt, Germany). The solution was transferred to a 25 milliliter volumetric flask. The content of 7 elements (Cr, Ni, Cu, Zn, As (non-metal trace element), Cd, and Pb) was determined by inductively coupled plasma-mass spectrometry (ICP-MS) (Agilent Technologies Inc., Santa Clara, CA, USA). Lower limits of detection (LLDs) were determined as 10 μg/kg for Cr, 13 μg/kg for Ni, 13 μg/kg for Cu, 8 μg/kg for Zn, 3 μg/kg for As, 0.3 μg/kg for Cd, and 7 μg/kg for Pb in dry soil weight.
HPGe γ-ray spectrometry system employed to carry out the radioactivity measurements was based on a high-purity germanium p-type coaxial photon detector made by Oak Ridge Technology & Engineering Cooperation (ORTEC). The detector relative efficiency exceeded 32% while the resolution was better than 1.82 keV at 1.33 MeV 60Co. The γ spectrum of 40 keV–3 MeV was acquired and analyzed using the software Gamma vision (6.01) (Oak Ridge Technology & Engineering Cooperation, Oak Ridge, TN, USA) and a 8192 multichannel analyzer (Oak Ridge Technology & Engineering Cooperation, Oak Ridge, TN, USA). The whole detector system was placed inside a 10 cm lead layer shield. Before and after all sample counting, the backgrounds were measured and were subtracted from the corresponding photopeaks. The energy and efficiency calibrations of the counting system were performed using γ sources of 238U, 234Th, 226Ra, 40K, and 137Cs with the same size of each sample. It took 86,400 s to reduce the counting statistical error for each measurement. The activity concentrations of 238U, 232Th, 226Ra, 40K, 137Cs in the soil samples were determined in Bq/kg dry weight. The activity concentration of 238U was derived from 234Th (63.3 keV). The 232Th in the soil samples was derived from 212Pb (238.6 keV), 208Tl (538.2 keV), and 228Ac (911.2 keV). The 226Ra activity was determined by its daughter radionuclides 214Pb at 351.9 keV and 214Bi at 609.3 keV. The activity concentrations of 40K and 137Cs were derived from the photopeaks of 1460.8 and 661.7 keV, respectively. The minimum detectable activity for each radionuclide was determined from the HPGe γ-ray spectrometry system and samples for the counting time of 86,400 s, and was estimated to be 3.7 Bq/kg for 238U, 0.1 Bq/kg for 232Th, 0.1 Bq/kg for 226Ra, 1.7 Bq/kg for 40K, and 0.01 Bq/kg for 137Cs.

2.3. Radiation Hazard Index Calculation

The natural radioactivity of building materials is mainly from the 238U series, 232Th series, and 40K. As 98.5% of the radiological effects of the uranium series are produced by radium and its daughter products, the contribution from 238U has been replaced with the decay product 226Ra [18,19]. Therefore, the radiation hazard indices are usually determined by the activity concentrations of 226Ra, 232Th, and 40K.

2.3.1. Absorbed γ Dose Rate in Air

The absorbed γ dose rate (nGy/h) in air at 1 m above the ground for radionuclides (238U series, 232Th series, and 40K) uniformly distributed on the ground was computed by following Equation (1) [9].
D = 0.462 × A Ra + 0.604 × A Th + 0.0417 × A K
where ARa, ATh, and AK are the activity concentrations of 226Ra, 232Th, and 40K (Bq/kg), respectively.

2.3.2. Annual Effective Dose

The annual effective dose is presented to express the irradiated dose of the human body from natural existing radionuclides in the earth’s crust soil. It is expressed [9] by following Equation (2).
AED = D × 8760 × 0.2   ( or   0.8 ) × 0.7 × 10 3
where AED is annual effective dose (μSv/y); D is γ dose rate (nGy/h); the coefficient 0.7 Sv/Gy is for the conversion coefficient from the absorbed dose in air to the effective dose received by adults; 0.2 for the outdoor occupancy factor; 8760 hour/year is equal to 365 days × 24 h per year.

2.3.3. Radium Equivalent Activity and External Hazard Index

Both the radium equivalent activity (Raeq) and the external hazard index (Hex) were equally used to evaluate the effect of the external γ radiation on human beings. The radium equivalent activity and external hazard index were calculated by Equations (3) and (4). The Raeq should not exceed 370 Bq/kg and the Hex should be less than unity [10].
Ra eq = A Ra + 1.43 × A Th + 0.077 × A K
H ex = A Ra / 370 + A Th / 259 + A K / 4810

2.3.4. Internal Hazard Index

The internal hazard index (Hin) was introduced to describe the hazard of radon and its short-lived products in building materials, given by Equation (5) and recommended to be less than unity [10].
H in = A Ra / 185 + A Th / 259 + A K / 4810

2.3.5. Lifetime Cancer Risk

The lifetime cancer risk (LTCR) was obtained by Equation (6) [11,12]:
LTCR = AED × DL × RFSE
where DL is the duration of lifetime, 70 years; and RFSE is the risk factor for stochastic effects of the common population, 0.055/Sv [12].

2.4. Health Risk Assessment of Heavy Metals

Human beings are exposed to soil metals through the ingestion and inhalation of dust particles through the mouth and nose, and dermal contact [20,21]. The health risk assessment model used in this study was developed by the US Environmental Protection Agency [22,23]. The doses are calculated as follows:
D ing = C × IngR × EF × ED BW × AT × 10 6
D inh = C × InhR × EF × ED PEF × BW × AT
D dermal = C × SA × SL × ABS × EF × ED BW × AT × 10 6
where Ding, Dinh, Ddermal are the average daily intake through ingestion, inhalation, and dermal absorption in mg/(kg·day), C is the concentration of metal in the soil (mg/kg), IngR and InhR are the ingestion and inhalation rate of soil, respectively (mg/day, m3/day), EF is the exposure frequency (day/year), and ED is the exposure duration (year). SA is the exposed skin area (cm2), SL is the skin adherence factor, ABS is the dimensionless dermal absorption factor, PEF is the particle emission factor in m3/kg, BW is the average body weight (kg), and AT is the average time (day). The doses calculated for each element and exposure pathway are subsequently divided by the corresponding reference dose (RfD) (mg/(kg·day)) to yield a hazard quotient (HQ) (or non-cancer risk), whereas for carcinogens, the dose is multiplied by the corresponding slope factor (SF) (mg/(kg·day))−1 to produce a level of cancer risk. The hazard index (HI) is then the sum of HQ [24]. If HI < 1, it is believed that there is no significant risk of non-carcinogenic effects and the magnitude of risk increases as HI increases [23]. Carcinogenic risk is used to estimate the probability of an individual developing any type of cancer from the lifetime exposure to carcinogenic hazards. The acceptable risk for regulatory purposes is in the range of 10−6–10−4 [20]. These values indicate that one additional case in a population of 1 million to one in 10,000 people is acceptable. In this study, hazard index methods and cancer risk methods were used to assess health risks of metal exposure to children and adults in the Bayanwula uranium pre-mining area. The detailed corresponding parameters are presented in Table 1 [20,21,23,25].

3. Results and Discussion

3.1. Radionuclides

The activity concentrations of radionuclides (238U, 232Th, 226Ra, 40K, and 137Cs) in 48 surface soil samples around the Bayanwula prospective uranium mining area are presented in Table 2. The mean values of 238U, 232Th, and 226Ra are lower than the China and world mean values. However, the mean value of 40K was around two times higher than both the worldwide and China’s average of 412 [6] and 580.0 Bq/kg [26], respectively. The activity concentration of 137Cs was 5.64 Bq/kg, which was the anthropogenic radionuclide from nuclear weapon tests or nuclear power accidents. The absorbed γ dose rate in air, annual effective dose, hazard indices, and lifetime cancer risk calculated from radionuclides in soil samples are shown in Table 3. The calculated mean outdoor γ dose rates was 76.7 nGy·h−1, which was higher than the world average of 60 nGy/h [6] and the Chinese mean value of 62.8 nGy/h [26]. The mean value of radium equivalent activity was 138.0 Bq/kg, lower than the reference value of 370 Bq/kg. The external and internal hazard indices did not exceed unity, which indicates that the γ radiation from the soil was at a safe level. The lifetime cancer risk was 3.2 × 10−4/Sv, which was also at a very low level.

3.2. Heavy Metals

The contents of heavy metals (Cr, Ni, Cu, Zn, As, Cd, and Pb) in surface soil from the prospective uranium mining area, background values of Inner Mongolia, mean values of China [27,28], and China soil guidelines [29] are also given in Table 2. The mean concentrations of Cr, Ni, Cu, Zn, As, and Cd are much lower than both the national mean backgrounds and the grade І soil quality standard (This level is mainly applicable to the national nature reserve except for the high background areas). However, the concentration of Pb is much higher than China’s background value and within the grade II soil quality standard (The level is mainly applied to general farmland, vegetable land, tea garden, orchard, pasture, and other soil; the soil quality basically could not cause harm and pollution to plants and the environment). The results of the health risk assessment of the heavy metals in the soil around the study area are listed in Table 4 for children and Table 5 for adults. For non-cancer risk, the ingestion dose of the heavy metals is significant for children and adults. The non-cancer risk of the heavy metals for children is higher than that for adults. The hazard indices (HIs) decrease in the order of Pb > Cr > As > Ni > Cu > Cd > Zn for both children and adults are all lower than unity. For cancer risk, Cr, Ni, As and Cd were considered in this study. The cancer risk from the heavy metals is much lower than the acceptable range of 10−4. It can be clearly seen from the tables that the non-cancer risk is more important than the cancer risk for both children and adults. These results indicate that both the cancer and non-cancer risks for the children and adults living around the Bayanwula prospective uranium mining region are all at acceptable levels.

3.3. Correlation Analysis

The correlations between the natural radionuclides and the heavy metals in the surface soil samples were performed using the SPSS computer package, Version 19 for Windows. The statistical significance of the Pearson correlation was determined by the t test [30,31]. If a value was close to zero, there was no association between the two elements. The terms “weak”, “moderate”, and “strong” were presented for correlation coefficients of 0.2–0.4, 0.4–0.6, and >0.6, respectively [31]. The alpha level for testing significance was set at 0.01 and 0.05. The Pearson correlations of the heavy metals and radionuclides are shown in Table 6. It was found that 238U was weakly positively correlated with 232Th and 226Ra at the 0.05 significance level. A strong positive correlation between 232Th and 226Ra at the 0.01 significance level was present. Both the radionuclides 232Th and 226Ra moderately positively correlated with Cr and Zn, and weakly correlated with 40K and Ni. There were also strong positive correlations between heavy metals: Cr and Zn, Ni and Cu, and Cu and Zn. These strong correlations among metals and radionuclides suggest their common origin. However, there are observed moderate or strong negative correlations between the radionuclide 40K with Ni, Cu, and Zn at the 0.01 significance level. Additionally, it was found that no correlations exist between the radionuclides and heavy metals, i.e., Cr and 40K. The absence of correlations could be explained by the mutual independence or different behavior of the elements.

4. Conclusions

The radionuclides (238U, 232Th, 226Ra, 40K, 137Cs) and heavy metals were measured in 48 surface soil samples from the Bayanwula prospective uranium mining area in China. Activity concentrations of 238U, 232Th, and 226Ra were lower than the world average except for 40K. The values obtained were within the acceptable limits. The annual effective dose and various radiation hazard indices indicate that there is low radiological risk to the local populations around the uranium mining area. The contents of the heavy metals Cr, Ni, Cu, Zn, As, and Cd were within the Chinese soil guidelines Grade І except for Pb, which was about three times higher than the average of China. The non-cancer risk index and cancer risk were estimated to be less than the acceptable limits. The risks of heavy metals for children are all higher than that for adults. A strong positive correlation between radionuclides and heavy metals at the 0.01 significance level was found which suggests their common origin. The correlation study also indicated negative and weak correlations between the radionuclides and heavy metals. This study established the baseline information regarding the natural, artificial radioactivity, and heavy metals status around the Bayanwula prospective uranium mining area in China. To the best of our knowledge, this is the first systematic and large scale study on radiation levels around prospective uranium mining areas in China. These background data could be an important reference for public environmental concerns.

Acknowledgments

The authors would like to thank Guilin Bai from the XilinGol center for disease control and prevention, and Huhejiletu from the Sonid Left center for disease control and prevention for their help with the sampling work.

Author Contributions

Haribala Bai, Bitao Hu, and Yuhong Li wrote the article; Haribala Bai, Chengguo Wang, Gerilemandahu Sai, Xiao Xu, and Shuai Zhang performed the sampling work, conducted the experiments, and processed the data; Shanhu Bao mapped Figure 1.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. The map of the Bayanwula uranium mining area and sampling locations.
Figure 1. The map of the Bayanwula uranium mining area and sampling locations.
Ijerph 14 00300 g001
Table 1. Parameters used to evaluate the exposure risk of soil metals.
Table 1. Parameters used to evaluate the exposure risk of soil metals.
ParameterSymbolUnitValue
Soil ingestion rateIngRmg/day200 (child), 100 (adult)
Exposure frequencyEFday/year350
Soil inhalation rateInhRm3/day7.6 (child), 20 (adult)
Exposure durationEDyear70 [6 (child) for non-cancer effects]
Skin areaSAcm2860 (child), 1530 (adult)
Skin adherence factorSLmg·cm20.2 (child), 0.07 (adult)
Dermal absorption factorABSunitless0.006 (Pb), 0.14 (Cd), 0.1 (Cu), 0.02 (Zn), 0.05 (Hg), 0.03 (As)
Particle emission factorPEFm3/kg1.36 × 109
Body weightBWkg15 (child), 70 (adult)
Averaging timeATdayED × 365 days for non-carcinogens
70 × 365 days for carcinogens
Chronic reference doseRfDmg·kg−1·day−1Ingestion RfD: 3.00 × 10−3 (Cr), 2.00 × 10−2 (Ni), 4.00 × 10−2 (Cu), 3.00 × 10−1 (Zn), 3.00 × 10−4 (As), 1.00 × 10−3 (Cd), 3.50 × 10−3 (Pb)
Carcinogenic slope factorSF(mg·kg−1·day−1)−1Inhalation RfD: 2.86 × 10−5 (Cr), 2.06 × 10−2 (Ni), 4.02 × 10−2 (Cu), 3.00 × 10−1 (Zn), 3.01 × 10−4 (As), 3.25 × 10−3 (Pb)
Dermal RfD: 6.00 × 10−5 (Cr), 5.40 × 10−5 (Ni), 1.20 × 10−2 (Cu), 6.00 × 10−6 (Zn), 1.23 × 10−4 (As), 1.00 × 10−5 (Cd), 5.25 × 10−4 (Pb)
Ingestion SF: 1.5 (As)
Inhalation SF: 4.20 × 101 (Cr), 8.40 × 10−1 (Ni), 1.51 × 101 (As), 6.30 (Cd)
Dermal SF: 3.66 (As)
Table 2. The contents of radionuclides (Bq/kg) and heavy metals (mg/kg) in surface soil samples around the Bayanwula prospective uranium mining area.
Table 2. The contents of radionuclides (Bq/kg) and heavy metals (mg/kg) in surface soil samples around the Bayanwula prospective uranium mining area.
No.238U232Th226Ra40K137CsCrNiCuZnAsCdPb
120 ± 2 a30 ± 326 ± 3887 ± 809.6 ± 1.012.6 ± 0.1b5.4 ± 0.14.8 ± 0.016.7 ± 0.20.9 ± 0.00.010 ± 0.00476.5 ± 1.1
216 ± 228 ± 324 ± 2885 ± 802.2 ± 0.213.4 ± 0.25.3 ± 0.04.7 ± 0.015.0 ± 0.40.9 ± 0.00.006 ± 0.00273.4 ± 0.9
325 ± 228 ± 324 ± 2942 ± 854.9 ± 0.512.3 ± 0.25.3 ± 0.04.9 ± 0.015.9 ± 0.11.1 ± 0.00.006 ± 0.00172.5 ± 0.5
421 ± 228 ± 324 ± 2927 ± 833.0 ± 0.311.0 ± 0.24.8 ± 0.04.4 ± 0.115.0 ± 0.11.1 ± 0.00.002 ± 0.00241.6 ± 0.7
544 ± 427 ± 323 ± 2969 ± 8713.9 ± 1.412.8 ± 0.05.6 ± 0.05.0 ± 0.117.2 ± 0.21.2 ± 0.00.006 ± 0.00267.2 ± 0.3
623 ± 230 ± 326 ± 2933 ± 845.1 ± 0.514.3 ± 0.55.8 ± 0.15.5 ± 0.117.3 ± 0.31.2 ± 0.00.004 ± 0.00168.3 ± 1.1
722 ± 228 ± 325 ± 2969 ± 876.2 ± 0.617.4 ± 0.15.1 ± 0.04.8 ± 0.019.2 ± 0.11.0 ± 0.00.005 ± 0.00393.8 ± 0.6
834 ± 332 ± 326 ± 2964 ± 872.2 ± 0.216.6 ± 0.26.0 ± 0.05.8 ± 0.020.0 ± 0.21.1 ± 0.00.005 ± 0.00196.0 ± 0.3
923 ± 230 ± 326 ± 3984 ± 898.4 ± 0.816.4 ± 0.24.8 ± 0.14.4 ± 0.117.4 ± 0.40.9 ± 0.00.003 ± 0.00173.5 ± 3.7
1022 ± 235 ± 329 ± 3929 ± 846.2 ± 0.617.3 ± 0.25.3 ± 0.14.9 ± 0.118.2 ± 0.31.2 ± 0.00.007 ± 0.00488.2 ± 1.5
1129 ± 320 ± 217 ± 2977 ± 8810.0 ± 1.015.4 ± 0.24.6 ± 0.04.3 ± 0.016.3 ± 0.11.1 ± 0.00.016 ± 0.00173.0 ± 0.2
1214 ± 128 ± 322 ± 2875 ± 798.8 ± 0.914.4 ± 0.16.0 ± 0.15.5 ± 0.116.3 ± 0.21.0 ± 0.00.012 ± 0.00669.7 ± 1.9
1325 ± 231 ± 329 ± 3852 ± 776.3 ± 0.613.7 ± 0.15.9 ± 0.05.5 ± 0.016.6 ± 0.11.0 ± 0.00.010 ± 0.00367.1 ± 0.2
1418 ± 229 ± 324 ± 2937 ± 8415.5 ± 1.616.9 ± 0.54.6 ± 0.14.6 ± 0.218.8 ± 0.80.9 ± 0.00.009 ± 0.00370.3 ± 5.2
1513 ± 129 ± 326 ± 2984 ± 894.9 ± 0.517.5 ± 0.15.1 ± 0.14.6 ± 0.017.5 ± 0.21.1 ± 0.00.004 ± 0.00370.1 ± 1.7
1624 ± 232 ± 326 ± 3967 ± 871.4 ± 0.117.6 ± 0.16.0 ± 0.15.4 ± 0.118.3 ± 0.31.2 ± 0.00.001 ± 0.00171.1 ± 0.6
1737 ± 436 ± 332 ± 3866 ± 781.5 ± 0.215.4 ± 0.48.7 ± 0.17.9 ± 0.123.2 ± 0.31.1 ± 0.00.009 ± 0.00481.1 ± 0.5
1858 ± 633 ± 327 ± 3919 ± 833.2 ± 0.312.9 ± 0.26.3 ± 0.06.2 ± 0.119.9 ± 0.51.3 ± 0.00.009 ± 0.00172.5 ± 0.3
1917 ± 230 ± 323 ± 2807 ± 734.2 ± 0.412.2 ± 0.46.8 ± 0.16.8 ± 0.119.8 ± 0.31.2 ± 0.00.020 ± 0.00470.6 ± 1.7
2030 ± 328 ± 324 ± 2934 ± 8415.6 ± 1.615.0 ± 0.15.8 ± 0.15.5 ± 0.119.8 ± 0.01.2 ± 0.00.011 ± 0.00178.0 ± 0.7
2124 ± 232 ± 327 ± 3929 ± 840.6 ± 0.116.2 ± 0.35.9 ± 0.15.9 ± 0.119.3 ± 0.51.3 ± 0.10.004 ± 0.00365.0 ± 0.6
2227 ± 331 ± 326 ± 3957 ± 864.1 ± 0.414.6 ± 0.15.7 ± 0.15.4 ± 0.118.4 ± 0.31.2 ± 0.00.006 ± 0.00475.1 ± 0.4
2331 ± 330 ± 327 ± 3955 ± 8614.6 ± 1.516.9 ± 0.25.1 ± 0.14.9 ± 0.118.0 ± 0.31.0 ± 0.00.005 ± 0.00478.6 ± 0.3
2431 ± 328 ± 324 ± 2850 ± 771.9 ± 0.213.2 ± 0.26.3 ± 0.16.2 ± 0.117.8 ± 0.41.5 ± 0.00.016 ± 0.00165.9 ± 0.4
2538 ± 431 ± 325 ± 2928 ± 842.8 ± 0.315.0 ± 0.17.5 ± 0.17.7 ± 0.122.0 ± 0.11.4 ± 0.00.019 ± 0.00177.2 ± 1.5
2611 ± 124 ± 219 ± 2901 ± 8115.0 ± 1.513.2 ± 0.36.2 ± 0.05.9 ± 0.018.4 ± 0.51.1 ± 0.00.017 ± 0.00875.2 ± 1.8
2727 ± 332 ± 327 ± 3945 ± 852.6 ± 0.316.7 ± 0.36.3 ± 0.15.8 ± 0.118.4 ± 0.61.2 ± 0.00.005 ± 0.00269.3 ± 1.8
2823 ± 233 ± 328 ± 3885 ± 802.0 ± 0.214.6 ± 0.27.1 ± 0.06.8 ± 0.118.1 ± 0.41.1 ± 0.00.009 ± 0.00469.3 ± 0.3
297 ± 126 ± 222 ± 2947 ± 851.8 ± 0.213.8 ± 0.25.6 ± 0.05.2 ± 0.115.3 ± 0.21.1 ± 0.00.000 ± 0.00071.4 ± 0.6
3040 ± 431 ± 325 ± 2958 ± 860.2 ± 0.014.7 ± 0.16.3 ± 0.05.9 ± 0.017.1 ± 0.11.0 ± 0.00.008 ± 0.00071.9 ± 0.1
3134 ± 332 ± 326 ± 2908 ± 822.7 ± 0.315.9 ± 0.26.8 ± 0.16.0 ± 0.118.9 ± 0.41.2 ± 0.00.007 ± 0.00268.2 ± 0.1
3223 ± 227 ± 326 ± 2969 ± 876.7 ± 0.714.8 ± 0.36.7 ± 0.06.2 ± 0.119.2 ± 0.21.2 ± 0.00.013 ± 0.00371.5 ± 1.1
3333 ± 328 ± 323 ± 2927 ± 836.1 ± 0.613.7 ± 0.16.4 ± 0.16.0 ± 0.118.2 ± 0.31.2 ± 0.00.016 ± 0.00373.0 ± 0.3
3412 ± 127 ± 323 ± 2936 ± 843.4 ± 0.314.8 ± 0.36.9 ± 0.16.4 ± 0.119.0 ± 0.21.3 ± 0.00.004 ± 0.00271.7 ± 0.4
3534 ± 335 ± 327 ± 3907 ± 822.1 ± 0.217.5 ± 0.19.6 ± 0.19.0 ± 0.123.3 ± 0.51.4 ± 0.00.015 ± 0.00375.3 ± 0.5
3615 ± 235 ± 330 ± 3777 ± 705.3 ± 0.518.5 ± 0.310.4 ± 0.18.9 ± 0.125.3 ± 0.31.4 ± 0.00.023 ± 0.00777.7 ± 1.8
3733 ± 326 ± 222 ± 2880 ± 9713.1 ± 1.316.0 ± 0.36.6 ± 0.15.9 ± 0.121.5 ± 0.41.0 ± 0.00.025 ± 0.00775.5 ± 0.2
3834 ± 335 ± 329 ± 3867 ± 784.8 ± 0.515.4 ± 0.26.9 ± 0.16.3 ± 0.119.3 ± 0.41.2 ± 0.00.009 ± 0.00273.7 ± 1.7
3935 ± 432 ± 328 ± 3858 ± 7710.7 ± 1.114.4 ± 0.27.4 ± 0.16.7 ± 0.120.8 ± 0.31.1 ± 0.00.017 ± 0.00177.0 ± 0.5
4018 ± 225 ± 221 ± 2902 ± 8113.0 ± 1.313.9 ± 0.27.0 ± 0.16.1 ± 0.119.3 ± 0.21.1 ± 0.00.015 ± 0.00175.0 ± 0.2
4122 ± 228 ± 324 ± 2945 ± 852.7 ± 0.314.2 ± 0.26.2 ± 0.05.9 ± 0.117.7 ± 0.41.5 ± 0.00.003 ± 0.00170.9 ± 1.7
4219 ± 227 ± 223 ± 2959 ± 860.4 ± 0.013.9 ± 0.25.9 ± 0.16.0 ± 0.116.7 ± 0.31.3 ± 0.00.003 ± 0.00468.0 ± 0.4
4323 ± 228 ± 324 ± 2913 ± 821.9 ± 0.214.1 ± 0.35.8 ± 0.15.5 ± 0.117.0 ± 0.21.3 ± 0.00.001 ± 0.00268.5 ± 0.5
4416 ± 225 ± 221 ± 2970 ± 877.3 ± 0.711.7 ± 0.15.2 ± 0.15.1 ± 0.115.4 ± 0.31.1 ± 0.00.009 ± 0.00566.2 ± 0.9
4534 ± 330 ± 326 ± 3933 ± 841.7 ± 0.212.2 ± 0.25.3 ± 0.15.1 ± 0.117.1 ± 0.71.3 ± 0.00.005 ± 0.00337.6 ± 0.4
4631 ± 327 ± 224 ± 2911 ± 829.8 ± 1.013.0 ± 0.312.6 ± 2.36.1 ± 0.114.1 ± 0.40.9 ± 0.00.010 ± 0.00697.7 ± 2.9
4731 ± 327 ± 224 ± 2991 ± 890.6 ± 0.112.5 ± 0.47.7 ± 0.25.2 ± 0.112.8 ± 0.50.9 ± 0.00.006 ± 0.00396.0 ± 1.1
4819 ± 228 ± 322 ± 2991 ± 890.4 ± 0.010.7 ± 0.36.1 ± 0.14.4 ± 0.110.1 ± 0.30.8 ± 0.00.002 ± 0.00597.4 ± 1.6
Mean ± SD b26 ± 629 ± 325 ± 3923 ± 475.6 ± 0.614.6 ± 1.95.4 ± 0.14.8 ± 0.018.1 ± 2.61.1 ± 0.20.009 ± 0.00673.6 ± 1.0
MVC40 ± 3449 ± 337 ± 22580 ± 202-6126.922.674.211.20.09726
CSG I 904035100150.235
CSG II 30050100250250.6300
WAV354532412
a Activity concentration ± expanded uncertainty, b SD represents standard deviation; MVC: Mean values in China; CSG І: Chinese soil guidelines Grade І; CSG II: Chinese soil guidelines Grade II; WAV: world average values.
Table 3. The radiation hazard indices and lifetime cancer risk.
Table 3. The radiation hazard indices and lifetime cancer risk.
Absorbed γ Dose Rate in Air (nGy/h)Annual Effective Dose (μSv/y)Radium Equivalent Activity (Bq/kg)External Hazard IndexInternal Hazard IndexLifetime Cancer Risk (1/Sv)
Mean ± SD76.7 ± 3.183.1 ± 3.8138.0 ± 6.80.37 ± 0.020.44 ± 0.033.2 × 10−4 ± 1.4 × 10−5
Median67.983.3138.780.370.443.2 × 10−4
Min-max60.6–73.274.3–83.3120.7–150.60.33–0.410.37–0.492.9 × 10−4–3.5 × 10−4
Table 4. Daily doses, hazard quotients, hazard indices, and cancer risks of heavy metals for children.
Table 4. Daily doses, hazard quotients, hazard indices, and cancer risks of heavy metals for children.
Heavy Metal DingDinhDdermalHQingHQinhHQdermalHI = ΣHQCancer Risk
CrMean1.87 × 10−45.22 × 1096.42 × 1066.23 × 1021.82 × 1041.07 × 1011.70 × 1012.33 × 107
Min1.37 × 10−43.82 × 1094.70 × 1064.55 × 1021.33 × 1047.83 × 1021.24 × 1011.74 × 107
Max2.37 × 10−46.61 × 1098.14 × 1067.89 × 1022.31 × 1041.36 × 1012.15 × 1013.06 × 107
NiMean8.11 × 1052.27 × 1092.44 × 1054.05 × 1031.10 × 1074.52 × 1038.57 × 1032.11 × 107
Min5.83 × 1051.63 × 1091.76 × 1052.92 × 1037.91 × 1083.25 × 1036.17 × 1031.39 × 107
Max1.61 × 10−44.50 × 1094.85 × 1058.06 × 1032.19 × 1078.99 × 1031.70 × 1023.80 × 107
CuMean7.35 × 1052.05 × 1096.32 × 1061.84 × 1035.11 × 1085.27 × 1042.36 × 103
Min5.56 × 1051.55 × 1094.78 × 1061.39 × 1033.86 × 1083.98 × 1041.79 × 103
Max1.15 × 10−43.21 × 1099.89 × 1062.88 × 1037.99 × 1088.24 × 1043.70 × 103
ZnMean2.31 × 10−46.45 × 1093.97 × 1067.70 × 1042.15 × 1086.62 × 1058.36 × 104
Min1.29 × 10−43.62 × 1092.23 × 1064.32 × 1041.21 × 1083.71 × 1054.69 × 104
Max3.23 × 1049.04 × 1095.56 × 1061.08 × 1033.01× 1089.27 × 1051.17 × 103
AsMean1.46 × 1054.08 × 10103.77 × 1074.87 × 1021.36 × 1063.06 × 1035.17 × 1022.33 × 105
Min1.02 × 105 2.85 × 10102.64 × 1073.41 × 1029.49 × 1072.14 × 1033.62 × 1021.63 × 105
Max1.98 × 1055.53 × 10105.11 × 1076.60 × 1021.84 × 1064.15 × 1037.01 × 1023.16 × 105
CdMean1.15 × 1073.21 × 10121.38 × 1081.15 × 104 1.38 × 1031.50 × 1037.44 × 1011
Min0.00 × 1000.00 × 1000.00 × 1000.00 × 100 0.00 × 1000.00 × 1000.00 × 100
Max3.13 × 1078.76 × 10123.77 × 1083.13 × 104 3.77 × 1034.09 × 1032.02 × 1010
PbMean9.41 × 10−42.63 × 1084.86 × 1062.69 × 1017.47 × 1069.25 × 1032.78 × 101
Min4.80 × 10−41.34 × 1082.48 × 1061.37 × 1013.81 × 1064.72 × 1031.42 × 101
Max1.25 × 1033.49 × 1086.45 × 1063.57 × 1019.92 × 1061.23 × 1023.69 × 101
Table 5. Daily doses, hazard quotients, hazard indices, and cancer risks of heavy metals for adults.
Table 5. Daily doses, hazard quotients, hazard indices, and cancer risks of heavy metals for adults.
Heavy Metal DingDinhDdermalHQingHQinhHQdermalHI = ΣHQCancer Risk
CrMean2.00 × 1052.94 × 10−98.57 × 10−76.67 × 10−31.03 × 10−41.43 × 1022.11 × 1021.24 × 10−7
Min1.46 × 1052.15 × 10−96.27 × 10−74.88 × 10−37.52 × 10−51.04 × 1021.54 × 1029.04 × 108
Max2.54 × 1053.73 × 10−91.09 × 10−68.45 × 10−31.30 × 10−41.81 × 1022.67 × 1021.57 × 10−7
NiMean8.69 × 1061.28 × 10−93.26 × 10−64.34 × 10−46.20 × 1086.03 × 10−41.04 × 10−31.07 × 10−7
Min6.25 × 1069.19 × 10−102.34 × 10−63.12 × 10−44.46 × 1084.34 × 10−47.46 × 10−47.72 × 108
Max1.73 × 1052.54 × 10−96.48 × 10−68.64 × 10−41.23 × 10−71.20 × 10−32.06 × 10−32.13 × 10−7
CuMean7.87 × 1061.16 × 10−98.43 × 10−71.97 × 10−42.88 × 1087.03 × 10−52.67 × 10−4
Min5.96 × 1068.76 × 10−106.38 × 10−71.49 × 10−42.18 × 1085.32 × 10−52.02 × 10−4
Max1.23 × 1051.81 × 10−91.32 × 10−63.08 × 10−44.51 × 1081.10 × 10−44.18 × 10−4
ZnMean2.47 × 1053.64 × 10−95.30 × 10−78.25 × 10−51.21 × 1088.83 × 10−69.13 × 10−5
Min1.39 × 1052.04 × 10−92.97 × 10−74.62 × 10−56.80 × 10−94.95 × 10−65.12 × 10−5
Max3.47 × 1055.10 × 10−97.42 × 10−71.16 × 10−41.70 × 10−81.24 × 10−51.28 × 10−4
AsMean1.56 × 1062.30 × 10−105.03 × 1085.21 × 10−37.64 × 10−74.09 × 10−45.62 × 10−32.53 × 10−6
Min1.09 × 1061.61 × 10−103.52 × 1083.65 × 10−35.35 × 10−72.86 × 10−43.94 × 10−31.77 × 10−6
Max2.12 × 1063.12 × 10−106.81 × 1087.07 × 10−31.04 × 10−65.54 × 10−47.62 × 10−33.44 × 10−6
CdMean1.23 × 1081.81 × 10−121.85 × 10−91.23 × 10−5 1.85 × 10−41.97 × 1041.14 × 1011
Min0.00 × 1000.00 × 1000.00 × 1000.00 × 100 0.00 × 1000.00 × 1000.00 × 100
Max3.36 × 1084.94 × 10−125.04 × 10−93.36 × 10−5 5.04 × 10−45.37 × 1043.11 × 1011
PbMean1.01 × 1041.48 × 1086.48 × 10−72.88 × 10−24.21 × 10−61.23 × 10−33.01 × 102
Min5.14 × 1057.56 × 10−93.31 × 10−71.47 × 10−22.15 × 10−66.30 × 10−41.53 × 102
Max1.34 × 1041.97 × 1088.60 × 10−73.82 × 10−25.59 × 10−61.64 × 10−33.99 × 102
Table 6. The pearson correlation matrix for the natural radionuclides and the heavy metals.
Table 6. The pearson correlation matrix for the natural radionuclides and the heavy metals.
238U232Th226Ra40KCrNiCuZnAsCdPb
238U10.344 a0.333 a0.032−0.0020.1920.2240.2610.1730.1460.045
232Th 10.933 b−0.367 a0.421 b0.298 a0.497 b0.512 b0.233−0.0350.0.35
226Ra 1−0.303 a0.407 b0.297 a0.399 b0.446 b0.144−0.1110.040
40K 1−0.009−0.439 b−0.590 b−0.483 b−0.239−0.619 b0.127
Cr 10.0980.2640.622 b0.130.0820.219
Ni 10.756 b0.333 a0.1790.414 b0.375 b
Cu 10.737 b0.547 b0.544 b0.090
Zn 10.497 b0.538 b−0.032
As 10.168−0.386 b
Cd 10.092
Pb 1
a Correlation is significant at the 0.05 level; b Correlation is significant at the 0.01 level.

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Bai, H.; Hu, B.; Wang, C.; Bao, S.; Sai, G.; Xu, X.; Zhang, S.; Li, Y. Assessment of Radioactive Materials and Heavy Metals in the Surface Soil around the Bayanwula Prospective Uranium Mining Area in China. Int. J. Environ. Res. Public Health 2017, 14, 300. https://doi.org/10.3390/ijerph14030300

AMA Style

Bai H, Hu B, Wang C, Bao S, Sai G, Xu X, Zhang S, Li Y. Assessment of Radioactive Materials and Heavy Metals in the Surface Soil around the Bayanwula Prospective Uranium Mining Area in China. International Journal of Environmental Research and Public Health. 2017; 14(3):300. https://doi.org/10.3390/ijerph14030300

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Bai, Haribala, Bitao Hu, Chengguo Wang, Shanhu Bao, Gerilemandahu Sai, Xiao Xu, Shuai Zhang, and Yuhong Li. 2017. "Assessment of Radioactive Materials and Heavy Metals in the Surface Soil around the Bayanwula Prospective Uranium Mining Area in China" International Journal of Environmental Research and Public Health 14, no. 3: 300. https://doi.org/10.3390/ijerph14030300

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