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Article

Potential Ecological Risk and Health Risk Assessment of Heavy Metals and Metalloid in Soil around Xunyang Mining Areas

1
Shaanxi Provincial Land Engineering Construction Group Co., Ltd., Xi’an 710075, China
2
Institute of Land Engineering and Technology, Shaanxi Provincial Land Engineering Construction Group Co., Ltd., Xi’an 710075, China
3
Key Laboratory of Degraded and Unused Land Consolidation Engineering, the Ministry of Natural Resources of China, Xi’an 710075, China
*
Author to whom correspondence should be addressed.
Sustainability 2019, 11(18), 4828; https://doi.org/10.3390/su11184828
Submission received: 8 July 2019 / Revised: 22 August 2019 / Accepted: 24 August 2019 / Published: 4 September 2019

Abstract

:
Xunyang is rich in various metal minerals and is one of the four major metal mining areas in Shaanxi province, China. To explore the effects of soil heavy metals and metalloid pollution on the environment and human health around the mining areas, four places—Donghecun (D), Gongguan (G), Qingtonggou (Q) and Nanshagou (N)—were selected as the sampling sites. Potential ecological risk (PER) and health risk assessment (HRA) models were used to analyze the environmental and health risks around the mining areas. The concentration of heavy metals (Cd, Cr, Pb, Zn, Ni, Cu, Hg) and metalloid (As) in cultivated land in the vicinity of Xunyang mining areas indicated that, except for Cu, the remaining elements detected exceeded the threshold values at some sites. The geo-accumulation index (IGeo) revealed that soils in G and Q could be identified as being extremely contaminated. PER indicated that there was significantly high risk at G and Q for Hg. In N, Pb recorded the highest E r i , which also demonstrates a considerable pre-existing risk. HRA indicated that the hazard index (HI) for both carcinogenic and non-carcinogenic risks was much higher among children than among adults, and the ingestion pathway contributed the greatest risk to human health, followed by the dermal pathway and inhalation. Because the HI values of the metals and metalloid in the study areas were all lower than 1, there was no significant non-carcinogenic risk. However, the carcinogenic risk for Cr is relatively higher, surpassing the tolerable values in G, Q, and N. This study analyzed the ecological risks and human health risks of heavy metals and metalloid in farmland soils near the sampling mining areas, and demonstrated the importance of environmental changes caused by land development in the mining industry.

1. Introduction

Heavy metals and metalloid are considered to be the most dangerous contaminants to the environment on account of their toxicity to the soil, and they reduce the sustainability of the environment [1]. According to the National Soil Bulletin Survey in 2014, soil pollution caused by heavy metals and metalloid is prevalent in China, and the soil quality of cultivated land has been gradually decreasing [2]. The national total soil over-standard rate is 16.1%. One investigation showed that the content of inorganic pollutants such as Cd, Hg, As and Pb has been gradually increasing [3]. However, due to the scarcity of cultivated land in China, contaminated arable land is still employed for agricultural production [4]. Human activities make an important contribution to environmental pollution; studies have shown that the pollution of arable land mainly comes from industrial production, agricultural activities and mineral exploitation. Among these, mineral mining is one of the chief factors leading to the heavy metals and metalloid pollution of agricultural land [5,6]. Large amounts of acid wastewater and tailing slag are produced during the mineral development process, and it has become a bottleneck that restricts the mineral development industry [7,8]. Toxic heavy metals and metalloid produced during the ore mining, transportation, smelting and tailings storage processes potentially permeate into the soil by means of the atmosphere, surface water, etc. Furthermore, the toxic materials retain, migrate, accumulate, and are enriched by the crops [9]. In addition, e-waste, traditional medicines, and industrial emissions are major sources of Pb exposure in China [10]. Metalloid is also one of the pollution sources, and they cover pathogenesis, dust storms, volcanic eruptions, geothermal/hydrothermal activity, and forest fires [11]. The constant accumulation of heavy metals in the soil has a negative impact on the ecosystem, owing to the fact that they can be migrated from the soil to crops and food, seriously endangering the safety of human beings around the mining areas [12,13]. It has been discovered that people exposed to environments containing Cd have an increased potential for diseases such as kidney dysfunction, as well as a high risk of bone fractures [14]. A long-term exposure to Pb during pregnancy may cause some fetal nerve system development disorders, because Pb can be transferred from the bones of pregnant women to the fetus at a rapid rate [15,16]. This continues throughout the baby’s lifetime [17]. Additionally, Pb affects several key organ systems within the human body, including the cardiovascular system [18,19], renal system [20,21] and hepatic system [19,22]. Fetuses are also at a very high risk of neurotoxins from Hg [23].
Soils in the vicinity of mining areas are most likely polluted by wastewater and tailings from the smelter in mining regions. Numerous studies of soil heavy metals and metalloid pollution related to mining activities in 2005–2012 have been carried out in China [24], and these have shown that metals in mining areas are likely, for the most part, to exceed the standards. Wu et al. [25] pointed out that, compared to their relative backgrounds, the concentrations of Hg and Pb in the Xiaoqinling gold mining region were at high risk. Li et al. [26] indicated that the average concentrations of As, Pb, Cd, Cu, Zn in the soil in the vicinity of the mining region exceeded the limit values. In addition, Zhao et al. [27] also revealed that the respective concentrations of Pb, Zn and Mn around the tailings were higher than the tolerance limits values of Inner Mongolia. Xunyang is one of the largest mining areas in Shaanxi province, and the mining activities are a source of Hg in the environment surrounding the mine [28]. Previous studies have shown that vegetation planted by local residents is seriously polluted. The riparian soils and sediments in the Xunyang Hg mining area were found to be seriously contaminated by Hg [28,29]. Even so, only very limited research has been conducted evaluating the health risks (carcinogenic and non-carcinogenic) and ecological risks in these regions. Therefore, this paper makes two major contributions. The first is the assessment of the degree of contamination with heavy metals and metalloid in the farmland surrounding the four major mining sites. The second is the estimation of the potential influence on risks to the environment, as well as risks (carcinogenic and non-carcinogenic) to human health.

2. Materials and Methods

Sample Collection and Analysis

Sampling of surface soils was collected from Xunyang county, located between E 108°58′–109°48′ and N 32°29′–33°13′ in southwest part of Shaanxi province. This region is rich of more than 39 kinds of mineral resources. The total storage of Au in D had reached 50t, the total Pb-Zn in N had reached 940000t. And the total storage of Hg in G and Q had reached 12715t, which made the county known as “the Hg capital of the world”. The soil collection work was carried out in November 2017. Based on the “Technical Specifications for Soil Environmental Monitoring”, surface soil (0–20cm) was collected at the four sampling points in D, G, Q and N respectively. The sampling point in the Xunyang County is presented in Figure 1. At each sampling point 5 samples were gathered using an “S” sampling step and then combined to form an individual composite sample. In total, twenty-four surface soil samples were collected. The samples were stored in ziplock bags with labels and then brought back to the lab. The sampling process were repeated 3 times at each sampling point. The soil samples should be air-dried under natural conditions to avoid external interference, and they were ground and sieved through a 0.15mm sieve to be evenly mixed for the later use [30].
The test method of heavy metals and metalloid in soil samples is described as follow: Before using ICP-MS (Agilent 7700), the soils need to be completely decomposed. Digestion methods according to US EPA method 3050B with HNO3-H2O2-HCl [31] with the ratio of 3:1 (hydrochloric and nitric acids) for the heavy metal extraction. About 0.1000g of soil sample is collected in the digestion tube, and hold overnight. The samples were digested at the temperature of 40 °C, 80 °C, 120 °C and 140 °C for 1 h, respectively. After cooling, the supernatant is filtered through a 0.45 micron filter to centrifuge tube for the further analysis [32,33]. The concentration of Hg was digested by HNO3-H2SO4. After that, atomic fluorescence Spectrometry (AFS-9760) at 253.65 nm was used for the measurement [34,35]. The study used standard reference material (GSS-8, GSS-10 and GSF-3) to assure the quality control. These materials are from the National Center for Standard Materials in China. The ratio of recoveries ranged between 90% and 110% for the elements throughout this study.

3. Evaluation Method

3.1. Ecological Risk Assessment Model

The geo accumulation index evaluation method is a quantitative index for the study of pollutant contamination in water environment sediments by Muller. Its expression is shown in (1):
I G e o = L o g 2 ( C i k B i )
In this expression, Ci stands for the observed value of heavy metal i, mg/kg; Bi is the natural background value of heavy metals and metalloid in Shaanxi province, and k is the conversion coefficient, which is 1.5. According to the magnitude of the value, heavy metals and metalloid degrees are sorted at 7 levels, as given in Table 1.
In 1980, Swedish scientist Hakanson is the first one to use PER index [36]. Because there are some different types of toxicity among metal elements, and the sensitivities of heavy metals and metalloid to the environment, the PER index is usually calculated using the concentration value of heavy metals and metalloid [37]. It more accurately represents the impact of heavy metals and metalloid on the ecological environment. The expressions are as follow (2)–(4):
C f i = c s i c n i
E r i = T r i × C f i
R I = i = 1 n E r i
Among them, RI is calculated as the sum of E r i , which represents the PER index; E r i is the PER index for single element pollution; c n i is the background value of soil heavy metals and metalloid in Shaanxi Province; c s i is the tested values of elements in soils, mg/kg; T r i is the toxicity response coefficient of heavy metals and metalloid. Environmental background values and toxicity response coefficients are shown in Table 2. The classification results of the PER index are shown in Table 3.

3.2. Health Risk Assessment Model

The effect of heavy metals and metalloid on human health is the result of a combination of various elements. Therefore, the hazard index (HI) is applied to comprehensively evaluate the health risks to humans. There are three major ways for human exposure, namely oral ingestion, respiratory inhalation and dermal contact [38]. HRA includes hazard identification, exposure assessment, dose response assessment and risk characterization [38]. In general, the above-mentioned three exposures can be estimated by the average daily dose (CID) on both children and adults. The formulas are as following (5)–(7):
C I D i n g e s t = C × I n g R × E F × E D B W × A T × 10 6
C I D i n h a l e = C × I n h R × E F × E D P E F × B W × A T × 10 6
C I D d e r m a l = C × S A × S L × A B F × E F × E D B W × A T × 10 6
Among them, C is the measured content of heavy metals and metalloid of the sample (mg/kg); IngR is the daily intake (mg/day); InhR is the rate of daily inhalation; EF is the exposure frequency for contact with assessed soils (days/year); ED refers to exposure duration (years); BW means average weight of human body (kg); AT is the average time (days); PEF is the release factor of particles (m3/kg); SA is the exposure area (cm2); SL is a skin adhesion factor; ABF is a skin adsorption factor. Exposure parameters for the HRA are shown in Table 4.
HRA [39] is mainly a process of analyzing and predicting the possible adverse effects of environmental pollutants on human health, including two different risk models: carcinogenic risk and non-carcinogenic risk. The formulas for calculating the carcinogenic and non-carcinogenic effects of each heavy metal exposure pathway are listed on (8) and (9):
H Q = C I D R f D
H I = H Q = H Q i n g + H Q i n h + H Q d e r m a l
According to US EPA [40], RfD in the equation refers to the reference dose for HRA calculation, and the values of RfD for each element are different. If the HI value is lower than 1, there will be no significant risk of non-carcinogenic effects. However, if the HI value exceeds 1 (HI > 1), there will be occurring non-carcinogenic risk effects with the rise of HI value [41].
Using the surface soil heavy metals and metalloid concentration to calculate the health risk may result in a rise in daily chronic intake, which may lead to an overestimation of the health hazard index, as expounded earlier. Hence, the bioavailable concentrations of metals were adopted to estimate HRA by Yuswir et al. [42].
The cancer risk LCR is applied for characterize the health risks of carcinogenic for heavy metals and metalloid. This is determined by the sum of each exposure route. In line with US EPA [40] the CSF values of Cd, Cr, Pb and As are 6.3, 0.5, 0.0085 and 1.5 mg/kg/day, the acceptable value for cancer risk is less than 1.0 × 10−4, and the tolerable of LCR value is between 1.0 × 10−6 and 1.0 × 10−4 according to the US Environmental Protection Agency [41]. Reference dose for non-carcinogenic metals and slope factors for carcinogenic metals are shown in Table 5.
C R = C D I × C S F
C R = L C R = C R i n g + C R i n h + C R d e r m

4. Results and Discussions

4.1. The Concentration of Heavy Metal

Figure 2 presents the total concentration of heavy metals and metalloid at the four mining areas. The total concentration of heavy metals and metalloid showed in a wide range. According to the corresponding Grade II of national environmental quality standard, Cr and Ni in study areas are all higher than the corresponding standard except in D. The mean values of Cd in D, G, Q and N were 105, 380, 539, 381 mg/kg. Cu content in four study areas are all under the corresponding standard. However the concentration of Cd in D, G, Q and N is 3.02, 2.52, 2.65, 4.90 times greater than the Grade II standard value. The concentration of Zn and As in four areas varied tremendously. Compared to other sites, the average concentration of Zn in N surpassed the standard value with the number of 327 mg/kg, As in D surpassed the standard value with the number of 72 mg/kg. Concentration of Pb in N is higher than those in D, G and Q, and exceeds the standard value. The highest mean concentration of Hg was observed in Q with the value of 3.93 mg/kg, followed in G with the mean value of 3.86 mg/kg.
Based on the above analysis, most of the heavy metals posed a high pollution to the arable land around the mining areas. As it is shown from the samples collected from D, the soil is mainly contaminated by As and Cd. Studies shown that metalloid As exists in most ore bodies and may be released during crustal movement [1,43]. For other regions, G and Q mining areas were mainly contaminated by Cr, Ni, Cd and Hg; sampling close to Pb-Zn mining area is polluted by Cr, Ni, Zn, Cd and Pb (Figure 2). Figure 2 also shows that, although the average concentration of some heavy metals and metalloid is lower than standard value, the max concentrations were high.

4.2. Geo-Accumulation Index (IGeo)

Heavy metal contamination is usually assessed by the enrichment factor [44]. The IGeo values demonstrated that the mining areas were polluted with As, Hg, Ni, Pb, Cd, and Cr (Figure 3). It is demonstrated that As in D is classified of having moderate to strong contamination with the value of 2.11. Other elements such as Cu, Zn, Cd and Hg are classified as uncontaminated in D according to Table 1. However Cr, Ni in G, Q, and N were classified as moderately to strongly contaminated. Meanwhile, Pb in G and Zn in N were categorized moderately contaminated. Among all sampling sites, Hg in G and Q posed an extreme contamination with the values of 5.35 and 5.38. The IGeo values at G and Q decreased as the sequence of Hg > Ni > Cr > Pb > As > Zn > Cu > Cd.

4.3. Potential Ecological Risk Index

It is shown in Table 6, The values of E r i of Cr, Cu and Zn in all sites were much less than 40, indicating a low ecological risk (Table 3). The PER factors of Ni ( E r i ) in G and Q were greater than 40 but lower than 80, showing a moderate risk. The PER factors of Cd and Pb ( E r i ) in N, and As in D are also of moderate risk with the value of 58.07, 77.03 and 64.86. Throughout the entire study areas, E r i values of Hg are higher than 40 in G and Q. PER index of Hg reached the max, which identifies a significant risk of Hg in the mercury mining areas. This result might be the fact that Hg vapor permeates the soil through atmospheric deposition, causing serious Hg pollution in the soil near the Hg mine [45]. Additionally, Hg might get into the soils by waste water from the mining district [46].
The values of E r i by metal elements to the total RI are illustrated in Figure 4. It is shown that the RI in the study area is between 134.54 and 2667.19. The highest RI found at Q with the value of 2667.19, followed by the value in G with the number of 2576.80. The results indicate a significantly high risk according to the risk classification (Table 3). The contributions of Hg in Q and G to RI are 93.5% and 95.1% respectively. Relatively speaking, the RI in D is at low risk, compared to other elements Hg and As, which leads a moderate risk. The contributions of Hg and As to RI are 43.89% and 42.21%. The RI in N was higher than 300, but lower than 600, showing a considerable risk. The contributions of Cd, Pb, Hg to RI are 17.04%, 22.60%, 18.26% respectively. Despite this, the RI values demonstrated a low ecological risk in D.
Previous studies have suggested [47] that tailings contain a large amount of toxic heavy metals such as Cd, Pb, Cu, Ni and Zn. These toxic heavy metals are released into the environment by weathering in the form of oxides or sulfides. Soils near mining operations pose potential health risks [48], for which activities of smelter lead to the pollution of Cd, and its toxicity is the greatest compared to other elements [49]. In N, Cd presents the moderate risk ( E r i ) with the value of 58.07, which contributes 17.0% to total RI, and Cd in G is the lowest with the value of 29.84 (1.2% contribution).

4.4. Health Risk Assessment of Soil Heavy Metals

Heavy metals and metalloid such as Cr, Pb and As are toxic and persistently destruct human health, by the way of affecting human organs. Therefore, they are considered as the pollutants which lead to carcinogens [50]. The health risk assessment uses Equations (5)–(11) with the soil concentration data in surface soil (0~20 cm).
Three exposure routes of non-carcinogenic risks for adults and children are shown in Table 7. For non-carcinogenic risk, the hazard quotient through three pathways are in order of soil ingestion > dermal contact > inhalation. The contribution of soil ingestion to the total non-carcinogenic risk (HI) is the highest among three pathways, demonstrating that soil ingestion is the major exposure pathway to human health risk. The trend of three pathways for adults was the same to children. These results in the study are the same to previous studies [51,52,53,54].
The HI value to children indicated a greater hazardous than adults, this results is similar to previous studies [55]. As shown in Figure 5, The HI values are represented in the order of Cr > As > Pb > Ni > Hg > Cd > Cu > Zn for both adults and children. The HI values in the study areas ranged between 6.95 × 10−4 and 9.08 × 10−1 for children, whereas HI values for adults are between 2.40 × 10−4 and 2.06 × 10−1. In general, children suffer from higher non-carcinogenic risks than adults in every way of intaking heavy metals and metalloid, indicating that children are more vulnerable to the environmental pollutions. This might be due to some behavioral characteristics of children, such as hand-to-mouth activities on soil lands [56]. There is a potential risk that the public may have an influence on non-carcinogenic if HI values are higher than 1 [41]. Obviously, the HI for both children and adults are far less than 1, which conforms the fact that the public around the study areas does not experience non-carcinogenic effects.
Additionally, the carcinogenic risk values for children and adults are illustrated in Table 8 and Figure 6. Hg, Pb, Cu and Ni are not presented due to there were no carcinogenic slope factor for them. The trend of LCR is similar to HI values. The carcinogenic risk decreases as follow: soil ingestion > dermal contact > soil inhalation. As, Pb, and Cr presented a greater carcinogenic risk for both children and adults, and the LCR values for Cr are between 9.22 × 10−5 and 4.73 × 10−4 (for children) and between 5.26 × 10−5 and 2.72 × 10−4 (for adults). It was found that besides Cr, the rest of three elements almost stood in the range of acceptable risk (1 × 10−6–1 × 10−4) [57]. The LCR values of Cr for children in G, Q and N were 3.34, 4.73, 3.34 times higher than the max tolerable risk, respectively. Similarly, the LCR of Cr for adults in G, Q and N were 1.92, 2.72, 1.92 times of the max tolerable risk, suggesting that there was carcinogenic risk of Cr in study areas. The results are similar to Liu et al. [58] in coal mining city.

5. Conclusions

In the paper, the concentrations, geo-accumulation index, PER and HRA of heavy metals and metalloid in Xunyang mining areas are demonstrated. The mean concentration of heavy metals and metalloid of As and Cd in D; Cr, Ni, Cd, and Hg in G and Q. Cr, Ni, Zn, Cd and Pb in N were found that have exceeded the standard values.
The IGeo values have proved that the soils were contaminated with most heavy metals at some locations. Especially, Hg extremely contaminated the soils at G and Q. The results of PER analysis showed that the RI range of the PER assessment indexes in the study areas are between 134.54 and 2667.19, and the RI values in G and Q showed the significantly high risk due to the great portion of Hg. HRA demonstrated that HI values were higher among children than adults both for carcinogenic and non-carcinogenic risks. The results showed that human health risk is mainly caused by soil ingestion in study areas, the non-carcinogenic risks for both children and adults are within acceptable limits. However, the value of carcinogenic risk on Cr exceeded the tolerance limit for both adults and children, suggesting that Cr has a notable risk to human health.
Heavy metals and metalloid do not only harm human through soil, but also via water and atmosphere, but in this study, only the mining area heavy metals and metalloid in soil are analyzed. In the future study, the water and the atmosphere in the vicinity of mining areas will also be investigated.

Author Contributions

Formal analysis, N.W. and Y.S.; Investigation, G.L. and Y.W.; Methodology, N.W.; Writing—Original Draft, N.W.; Writing—review and editing, N.W., Y.W. and J.H.

Funding

Financial support was provided by the Fundamental Research Funds for the Central University (No. 300102278503).

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. Map of sampling sites of Xunyang.
Figure 1. Map of sampling sites of Xunyang.
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Figure 2. The concentration of heavy metals in sampling sites.
Figure 2. The concentration of heavy metals in sampling sites.
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Figure 3. IGeo distribution of heavy metals in Xunyang mining area.
Figure 3. IGeo distribution of heavy metals in Xunyang mining area.
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Figure 4. Percentage of potential ecological risk index for single heavy metals to total RI.
Figure 4. Percentage of potential ecological risk index for single heavy metals to total RI.
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Figure 5. Non-carcinogenic risk for adults and children.
Figure 5. Non-carcinogenic risk for adults and children.
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Figure 6. Carcinogenic risk for adults and children.
Figure 6. Carcinogenic risk for adults and children.
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Table 1. Geochemical index classification.
Table 1. Geochemical index classification.
IGeoClassificationIGeoClassification
IGeo < 0Uncontaminated2 ≤ IGeo< 3Moderately to strongly contaminated
0 ≤ IGeo < 1Uncontaminated to moderately contaminated3 ≤ IGeo < 4Strongly contaminated
1 ≤ IGeo < 2Moderately contaminated4 ≤ IGeo < 5Strongly to extremely contaminated
IGeo ≥ 6Extremely contaminated
Table 2. Environmental background values and toxic-response parameters of heavy metals in the soils.
Table 2. Environmental background values and toxic-response parameters of heavy metals in the soils.
ElementCdCrHgAsPbCuZnNi
c n i (mg/kg)0.7662.50.06311.121.421.469.428.8
T r i 30240105515
Table 3. Classification of potential ecological risk coefficient ( E r i ) and risk index (RI).
Table 3. Classification of potential ecological risk coefficient ( E r i ) and risk index (RI).
Ecological RiskLow Risk(A)Moderate Risk (B)Considerable Risk (C)High Risk(D)Significantly High Risk (E)
E r i <4040–8080–160160–320>320
RI<150150–300300–600≥600--
Table 4. Exposure parameters for the health risk assessment.
Table 4. Exposure parameters for the health risk assessment.
ParameterCompanyValue
ChildrenAdult
IngRmg/d200100
EFd/year350350
EDyears625
BWkg15.956.8
ATdays26,2809125
InhRm3/d7.514.5
PEFm3/kg1.36 × 1091.36 × 109
SAcm228005700
SLmg/cm20.20.07
ABFnone0.0010.01
Table 5. Reference dose for non-carcinogenic metals and slope factors for carcinogenic metals.
Table 5. Reference dose for non-carcinogenic metals and slope factors for carcinogenic metals.
ElementsRfD (mg·(kg·d)−1)
IntakeInhalationSkin Contact
Cd1.00 × 10−31.00 × 10−51.00 × 10−5
Pb3.50 × 10−33.52 × 10−35.25 × 10−4
Cr3.00 × 10−32.86 × 10−56.00 × 10−5
Ni2.00 × 10−22.06 × 10−25.40 × 10−3
Cu4.00 × 10−24.02 × 10−31.20 × 10−2
Zn3.00 × 10−13.00 × 10−16.00 × 10−2
Hg3.00 × 10−48.57 × 10−52.10 × 10−5
As3.00 × 10−41.23 × 10−41.23 × 10−4
Table 6. Potential ecological risk index for heavy metals.
Table 6. Potential ecological risk index for heavy metals.
SiteDGQN
Cr E r i 3.3612.1617.2512.19
LevelAAAA
Ni E r i 12.3341.3240.6338.37
LevelABBA
Cu E r i 7.248.888.8811.21
LevelAAAA
Zn E r i 1.482.191.514.71
LevelAAAA
Cd E r i 35.7229.8431.4258.07
LevelAAAB
Pb E r i 7.6816.4537.477.03
LevelAAAB
As E r i 64.8625.2315.3214.41
LevelBAAA
Hg E r i 59.052449.522492.762.22
LevelBEEB
RI134.542576.802667.19340.83
Table 7. ADD, HQ and HI value of each metal for non-carcinogenic risk.
Table 7. ADD, HQ and HI value of each metal for non-carcinogenic risk.
ADDingADDinhADDdermHQingHQinhHQdermHI
Adult
CrD1.05 × 10−42.91 × 10−152.96 × 10−73.50 × 10−21.02 × 10−104.93 × 10−33.99 × 10−2
G3.82 × 10−41.05 × 10−141.07 × 10−61.34 × 10−13.68 × 10−101.78 × 10−21.51 × 10−1
Q5.42 × 10−41.49 × 10−141.52 × 10−61.81 × 10−15.22 × 10−102.53 × 10−22.06 × 10−1
N3.83 × 10−41.06 × 10−141.07 × 10−61.28 × 10−13.69 × 10−101.79 × 10−21.46 × 10−1
NiD7.11 × 10−51.97 × 10−152.00 × 10−73.55 × 10−39.55 × 10−143.70 × 10−53.59 × 10−3
G2.39 × 10−46.60 × 10−156.70 × 10−71.20 × 10−23.20 × 10−131.24 × 10−41.21 × 10−2
Q2.35 × 10−46.49 × 10−156.59 × 10−71.18 × 10−23.15 × 10−131.22 × 10−41.19 × 10−2
N2.22 × 10−46.13 × 10−156.22 × 10−71.11 × 10−22.97 × 10−131.15 × 10−41.12 × 10−2
CuD3.09 × 10−58.59 × 10−168.72 × 10−87.72 × 10−42.14 × 10−147.27 × 10−67.79 × 10−4
G3.82 × 10−51.05 × 10−151.07 × 10−79.55 × 10−42.62 × 10−148.91 × 10−69.64 × 10−4
Q3.82 × 10−51.05 × 10−151.07 × 10−79.55 × 10−42.62 × 10−148.91 × 10−69.64 × 10−4
N4.82 × 10−51.33 × 10−151.35 × 10−71.21 × 10−33.31 × 10−141.13 × 10−51.22 × 10−3
ZnD1.03 × 10−42.85 × 10−152.90 × 10−73.45 × 10−49.52 × 10−154.83 × 10−63.49 × 10−4
G1.53 × 10−44.21 × 10−154.28 × 10−73.82 × 10−31.05 × 10−137.13 × 10−63.83 × 10−3
Q1.06 × 10−42.91 × 10−152.96 × 10−73.52 × 10−49.70 × 10−154.93 × 10−63.57 × 10−4
N3.29 × 10−49.06 × 10−159.20 × 10−71.10 × 10−33.02 × 10−141.53 × 10−51.11 × 10−3
AsD7.27 × 10−52.00 × 10−152.03 × 10−72.42 × 10−11.62 × 10−111.65 × 10−32.44 × 10−1
G2.81 × 10−57.76 × 10−167.88 × 10−89.38 × 10−46.31 × 10−126.41 × 10−41.64 × 10−3
Q1.71 × 10−54.71 × 10−164.78 × 10−85.70 × 10−23.83 × 10−123.89 × 10−45.73 × 10−2
N1.61 × 10−54.43 × 10−164.50 × 10−85.36 × 10−23.61 × 10−123.66 × 10−45.40 × 10−2
CdD9.10 × 10−72.51 × 10−172.55 × 10−99.10 × 10−42.51 × 10−122.55 × 10−41.16 × 10−3
G7.60 × 10−72.10 × 10−172.13 × 10−92.53 × 10−42.10 × 10−122.13 × 10−42.45 × 10−4
Q8.00 × 10−72.21 × 10−172.24 × 10−98.00 × 10−42.21 × 10−122.24 × 10−41.02 × 10−3
N1.48 × 10−64.08 × 10−174.14 × 10−91.48 × 10−34.08 × 10−124.14 × 10−41.89 × 10−3
PbD3.31 × 10−59.12 × 10−169.26 × 10−89.45 × 10−32.59 × 10−131.76 × 10−49.62 × 10−3
G7.08 × 10−51.95 × 10−151.98 × 10−72.02 × 10−25.54 × 10−133.77 × 10−42.10 × 10−2
Q1.61 × 10−44.44 × 10−154.50 × 10−74.60 × 10−21.26 × 10−128.58 × 10−44.68 × 10−2
N3.31 × 10−49.14 × 10−159.28 × 10−79.47 × 10−22.60 × 10−121.77 × 10−39.65 × 10−2
HgD9.39 × 10−82.58 × 10−182.62 × 10−103.13 × 10−43.01 × 10−141.25 × 10−53.25 × 10−4
G3.88 × 10−61.07 × 10−161.09 × 10−81.29 × 10−21.25 × 10−125.17 × 10−41.34 × 10−2
Q3.95 × 10−61.09 × 10−161.10 × 10−81.32 × 10−21.27 × 10−125.26 × 10−41.37 × 10−2
N9.85 × 10−82.72 × 10−182.76 × 10−103.28 × 10−43.17 × 10−141.31 × 10−53.41 × 10−4
Children
CrD1.77 × 10−41.89 × 10−147.07 × 10−65.91 × 10−16.61 × 10−101.18 × 10−11.77 × 10−1
G6.42 × 10−46.69 × 10−142.56 × 10−52.14 × 10−12.34 × 10−94.27 × 10−16.41 × 10−1
Q9.10 × 10−49.49 × 10−143.63 × 10−56.05 × 10−13.32 × 10−93.03 × 10−19.08 × 10−1
N6.43 × 10−46.86 × 10−142.57 × 10−54.28 × 10−12.40 × 10−92.14 × 10−16.42 × 10−1
NiD1.20 × 10−41.28 × 10−144.78 × 10−65.99 × 10−36.20 × 10−138.86 × 10−46.88 × 10−3
G4.02 × 10−44.19 × 10−141.60 × 10−52.01 × 10−22.03 × 10−122.97 × 10−32.30 × 10−2
Q3.95 × 10−44.12 × 10−141.58 × 10−51.98 × 10−22.00 × 10−122.92 × 10−32.27 × 10−2
N3.73 × 10−43.98 × 10−141.49 × 10−51.87 × 10−21.93 × 10−122.76 × 10−32.14 × 10−2
CuD5.23 × 10−55.58 × 10−152.09 × 10−61.31 × 10−31.39 × 10−131.74 × 10−41.48 × 10−3
G6.42 × 10−56.69 × 10−152.56 × 10−61.60 × 10−31.66 × 10−132.13 × 10−41.80 × 10−3
Q6.42 × 10−56.69 × 10−152.56 × 10−61.60 × 10−31.66 × 10−132.13 × 10−41.82 × 10−3
N8.10 × 10−58.64 × 10−153.23 × 10−62.03 × 10−32.15 × 10−132.69 × 10−42.30 × 10−3
ZnD1.74 × 10−41.85 × 10−146.94 × 10−65.80 × 10−46.18 × 10−141.16 × 10−46.95 × 10−4
G2.57 × 10−42.68 × 10−141.02 × 10−58.55 × 10−46.66 × 10−131.71 × 10−41.00 × 10−3
Q1.77 × 10−41.85 × 10−147.07 × 10−65.91 × 10−46.16 × 10−141.18 × 10−47.09 × 10−4
N5.52 × 10−45.89 × 10−142.20 × 10−51.84 × 10−31.96 × 10−133.67 × 10−42.21 × 10−3
AsD1.22 × 10−41.30 × 10−144.85 × 10−64.05 × 10−11.05 × 10−103.94 × 10−24.45 × 10−1
G4.73 × 10−54.93 × 10−151.89 × 10−61.58 × 10−14.01 × 10−111.53 × 10−21.70 × 10−1
Q2.87 × 10−52.99 × 10−151.15 × 10−69.57 × 10−22.43 × 10−119.31 × 10−31.05 × 10−1
N2.70 × 10−52.88 × 10−151.08 × 10−69.00 × 10−22.34 × 10−118.76 × 10−39.88 × 10−2
CdD1.53 × 10−61.63 × 10−166.10 × 10−86.10 × 10−31.63 × 10−111.53 × 10−37.62 × 10−3
G1.28 × 10−61.33 × 10−165.09 × 10−85.09 × 10−31.33 × 10−111.28 × 10−36.41 × 10−3
Q1.34 × 10−61.40 × 10−165.36 × 10−85.36 × 10−31.40 × 10−111.34 × 10−36.71 × 10−3
N2.48 × 10−62.65 × 10−169.91 × 10−89.91 × 10−32.65 × 10−112.48 × 10−31.24 × 10−2
PbD5.55 × 10−55.92 × 10−152.22 × 10−61.59 × 10−21.68 × 10−124.22 × 10−32.01 × 10−2
G1.19 × 10−41.24 × 10−144.74 × 10−63.40 × 10−23.52 × 10−129.03 × 10−34.32 × 10−2
Q2.70 × 10−42.82 × 10−141.08 × 10−57.72 × 10−28.01 × 10−122.05 × 10−29.77 × 10−2
N5.57 × 10−45.93 × 10−142.22 × 10−51.59 × 10−11.69 × 10−114.23 × 10−22.01 × 10−1
HgD1.57 × 10−71.67 × 10−176.26 × 10−95.23 × 10−41.95 × 10−132.98 × 10−48.22 × 10−4
G6.51 × 10−66.79 × 10−162.60 × 10−72.17 × 10−27.93 × 10−121.24 × 10−23.42 × 10−2
Q6.63 × 10−66.91 × 10−162.64 × 10−72.21 × 10−28.07 × 10−121.26 × 10−23.47 × 10−2
N1.65 × 10−71.76 × 10−176.60 × 10−95.51 × 10−42.06 × 10−133.14 × 10−48.66 × 10−4
Table 8. Carcinogenic risks for different exposure pathways for adults and children.
Table 8. Carcinogenic risks for different exposure pathways for adults and children.
Children
Metal ElementSiteCRIngCRInhCRdermLCR (HI)
CrD8.86 × 10−59.45 × 10−153.54 × 10−69.22 × 10−5
G3.21 × 10−43.35 × 10−141.28 × 10−53.34 × 10−4
Q4.55 × 10−44.75 × 10−141.82 × 10−54.73 × 10−4
N3.22 × 10−43.43 × 10−141.28 × 10−53.34 × 10−4
AsD1.82 × 10−51.94 × 10−147.27 × 10−61.90 × 10−5
G7.09 × 10−57.40 × 10−152.83 × 10−67.37 × 10−5
Q4.30 × 10−54.49 × 10−151.72 × 10−64.48 × 10−5
N4.05 × 10−54.32 × 10−151.62 × 10−64.21 × 10−5
CdD9.63 × 10−61.03 × 10−153.84 × 10−71.00 × 10−5
G8.04 × 10−68.39 × 10−163.21 × 10−78.36 × 10−6
Q8.47 × 10−68.83 × 10−163.38 × 10−78.80 × 10−6
N1.56 × 10−51.67 × 10−156.24 × 10−71.63 × 10−5
PbD4.72 × 10−65.03 × 10−161.88 × 10−74.91 × 10−6
G1.01 × 10−51.05 × 10−154.03 × 10−71.05 × 10−5
Q2.30 × 10−52.40 × 10−159.16 × 10−72.39 × 10−5
N4.73 × 10−55.04 × 10−151.89 × 10−64.92 × 10−5
Adults
Metal ElementSiteCRIngCRInhCRdermLCR (HI)
CrD5.25 × 10−51.46 × 10−151.48 × 10−75.26 × 10−5
G1.91 × 10−45.27 × 10−155.35 × 10−71.92 × 10−4
Q2.71 × 10−47.47 × 10−157.58 × 10−72.72 × 10−4
N1.91 × 10−45.28 × 10−155.36 × 10−71.92 × 10−4
AsD1.09 × 10−52.99 × 10−153.04 × 10−71.09 × 10−5
G4.22 × 10−51.16 × 10−151.18 × 10−74.23 × 10−5
Q2.56 × 10−57.07 × 10−167.18 × 10−82.57 × 10−5
N2.41 × 10−56.65 × 10−166.75 × 10−82.42 × 10−5
CdD5.73 × 10−61.58 × 10−161.60 × 10−85.75 × 10−6
G4.79 × 10−61.32 × 10−161.34 × 10−84.80 × 10−6
Q5.04 × 10−61.39 × 10−161.41 × 10−85.05 × 10−6
N9.31 × 10−62.57 × 10−162.61 × 10−89.34 × 10−6
PbD2.81 × 10−67.75 × 10−177.87 × 10−92.82 × 10−6
G6.01 × 10−61.66 × 10−161.68 × 10−86.03 × 10−6
Q1.37 × 10−53.77 × 10−163.83 × 10−81.37 × 10−5
N2.82 × 10−57.77 × 10−167.89 × 10−82.82 × 10−5

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MDPI and ACS Style

Wang, N.; Han, J.; Wei, Y.; Li, G.; Sun, Y. Potential Ecological Risk and Health Risk Assessment of Heavy Metals and Metalloid in Soil around Xunyang Mining Areas. Sustainability 2019, 11, 4828. https://doi.org/10.3390/su11184828

AMA Style

Wang N, Han J, Wei Y, Li G, Sun Y. Potential Ecological Risk and Health Risk Assessment of Heavy Metals and Metalloid in Soil around Xunyang Mining Areas. Sustainability. 2019; 11(18):4828. https://doi.org/10.3390/su11184828

Chicago/Turabian Style

Wang, Na, Jichang Han, Yang Wei, Gang Li, and Yingying Sun. 2019. "Potential Ecological Risk and Health Risk Assessment of Heavy Metals and Metalloid in Soil around Xunyang Mining Areas" Sustainability 11, no. 18: 4828. https://doi.org/10.3390/su11184828

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