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Article

Pollution Characteristics and Health Risk Assessment of Heavy Metals in Agricultural Soils over the Past Five Years in Zhejiang, Southeast China

1
Department of Environmental Health, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310000, China
2
Hangzhou Center for Disease Control and Prevention, Hangzhou 310000, China
*
Authors to whom correspondence should be addressed.
These authors contributed equally to this work.
Int. J. Environ. Res. Public Health 2022, 19(22), 14642; https://doi.org/10.3390/ijerph192214642
Submission received: 8 October 2022 / Revised: 28 October 2022 / Accepted: 31 October 2022 / Published: 8 November 2022
(This article belongs to the Special Issue Environmental Risk Assessment in Public Health)

Abstract

:
Heavy metal contamination in agricultural soils has attracted increasing attention in recent years. In this study, 1999 agricultural soil samples were collected from 11 cities in Zhejiang Province from 2016 to 2020, and the spatial and temporal variation characteristics of 3 of the most important heavy metals, i.e., lead (Pb), cadmium (Cd), and chromium (Cr) were analyzed. The results showed that Cd had a slightly higher sample over-standard rate of 12.06%. Spatial distribution and temporal trends showed that the Pb concentrations overall increased from 2016 to 2020 and mainly accumulated in southern Zhejiang. In addition, multiple exposure routes were evaluated for human health risks. Children are more susceptible to the adverse effects of heavy metals in agricultural soils, and oral ingestion was the major exposure route. Cr poses higher human health risks to humans than Pb and Cd in agricultural soils. Therefore, more rigid environmental monitoring and related soil remediation counter-measures for some sites with high concentrations of heavy metals are necessary to limit the potential threat to human health.

1. Introduction

Over the past few decades, heavy metal pollution of agricultural and urban soils has become a global concern because of its harmful effects on the ecological environment, as well as human health. For example, the United States, Russia, Australia, France, Spain, and India are threatened by cadmium (Cd)-contaminated soils [1,2,3]. In addition, lead (Pb), chromium (Cr) and other heavy metals in soils in America, Africa, and other continents also pose health hazards to humans [4,5]. Similarly, the quality of agricultural soils in China is of particular concern. According to a 2014 national soil survey by the Ministry of Ecology and Environment and the Ministry of Land and Resources of the People’s Republic of China, 16.1% of the point sites exceeded the standard in the survey area of about 6.3 million km2 of soil. The over-standard rate of soil point positions in cultivated land has reached 19.4%, which is obviously higher than that of woodlands and grasslands [6]. In particular, the over-standard rates for eight inorganic pollutants, including Cd, Hg, As, Cu, Pb, Cr, Zn, and Ni were 7.0%, 1.6%, 2.7%, 2.1%, 1.5%, 1.1%, 0.9%, and 4.8%, respectively [6]. Recent surveys have found that over the past 20 years, China’s agricultural soils have been contaminated with a variety of heavy metals [2,7]. The presence of heavy metals in soils might influence microbial diversity, and the presence of some potential pathogens [8,9,10]. In addition, the accumulated heavy metals can be transferred to crops, plants and other parts of the food chain and living environment, which may ultimately pose threats to human health [11,12,13].
According to related reports, Cd is a ubiquitous environmental toxicant and is recognized as a Group I human carcinogen by the International Agency for Research on Cancer [14]. Cd may cause kidney, liver, and bone damage through the consumption of Cd-contaminated crops. Cr is also considered as one of the most adverse substances to the environment, and hexavalent Cr (Cr (VI)) is a potential human carcinogen for which there is sufficient evidence of adverse effects on human organs and tissues [15,16]. Similar to Cr, Pb is also considered a neurotoxin that can damage vital body systems, such as the blood, cardiovascular, and nervous systems, via seafood, vegetables, and rice [11,17,18]. Therefore, it is extremely important to investigate the current levels of heavy metal contamination in soils, especially in agricultural soils.
The accumulation of heavy metals in agricultural soils is mainly due to industrial emissions, fuel combustion, waste management and transport, fertilizer and pesticide use, as well as wastewater irrigation in farmland [19,20,21,22,23]. The Yangtze River Delta region (YRDR), including Zhejiang Province and its three adjacent provinces and municipalities (Jiangsu, Anhui, and Shanghai), is one of the most cultivated regions in the world, and is also one of the most dynamic areas of economic development in China. During the past few decades, the agricultural soils in the YRDR have been reported to be polluted by heavy metals [21,24]. As Zhejiang is a key economic area in the YRDR, the province also is at risk from the contamination of heavy metals in agricultural soils. According to previous reports, there are different levels of heavy metal contamination in agricultural soils around chemical industrial zones, electronic waste dismantling centers, mining areas, watersheds, and other special areas in Zhejiang Province [25,26,27,28]. However, most related studies have mainly focused on a typical area and specific time, and the investigation on the current circumstance and potential human health risk of typical heavy metal pollution in agricultural soils remains limited. Therefore, it is critical to evaluate the temporal and spatial variation in heavy metals concentration of agricultural soils in Zhejiang Province.
Therefore, the objectives of this study were (1) to measure the concentrations of heavy metals in agricultural soils in Zhejiang Province, (2) to examine the temporal and spatial variations in heavy metals in agricultural soils, and (3) to estimate the potential health risks associated with heavy metal-contaminated soils. This study focused on the current status and health risk assessment of three of the most important heavy metals in the agricultural soils in Zhejiang, and could provide more basic and powerful evidence for the enhanced environmental monitoring and soil remediation.

2. Materials and Methods

2.1. Study Area

Zhejiang Province is situated in southeast China, south of the Yangtze River Delta (Figure 1). The province has a humid subtropical monsoon climate with an average annual rainfall of 1560.4 mm and an annual average temperature of 18.4 °C. Zhejiang Province has undulating terrain, which is covered by mountainous areas, hilly basins, and low plains. According to the Chinese system of soil texture classification, loam, clay soil, and sandy soil are the major soil types in Zhejiang Province. The province has a land area of 105,500 km2, of which approximately 81% is used for agricultural purposes [29]. Nearly 20% of the total area used as cultivated land, and the main agricultural products are cereals, soybeans, vegetables, tea, mulberries, and fruits. The rest of the agricultural land is used as garden land, woodland, grassland, and for other uses. The ratio of light industry to heavy industry is about 1:1. The major industries are manufacturing of products such as textiles, metal products, and plastic products [30].
This study evaluated heavy metal contamination in Zhejiang’s agricultural soils from 2016 to 2020. The study mainly focused on three metals (Pb, Cd, and Cr), all of which are listed as priority heavy metals for control by the Ministry of Ecology and Environment of the People’s Republic of China and the United States Environmental Protection Agency (U.S. EPA). We selected 20 administrative counties from 11 cities in Zhejiang Province as the research areas, and we used a random sampling method to select 20 administrative villages in five townships from each research area (Table S4).

2.2. Sample Collection and Measurement

During this study, 1999 samples of surface agricultural soils were taken at a depth of 20 cm. Each sample was composed of five random subsamples from each sampling point of 1 km2; the sample weight was about 1 kg. All samples were sealed in special polyethylene collection bags and transported back to the sample preparation laboratory within 12 h. The samples were dried at r oom temperature after organisms, debris, and stones were removed, ground with a polymethyl methacrylate stick and an agate grinder, sieved with a nylon sieve (2 mm; 10 mesh), sieved with another nylon sieve (0.25 mm; 60 mesh), processed with another nylon sieve (0.15 mm; 100 mesh), and mixed in a new sample collection bag for analysis.
Soil samples were weighed and placed in a polytetrafluoroethylene crucible. The method of acid digestion in a mixture of HCl-HNO3-HF-HClO4 (3:2:3:1 by volume) was used to digest the samples and completely integrate the heavy metals into the solution. An atomic absorption spectrometer (ZEEnit 700P, Analytik Jena AG, Jena, Germany) was employed to determine the concentrations of Pb, Cd, and Cr. Quality assurance and quality control were guaranteed with the soil standard reference materials (GBW07403, GBW07405 and GBW07406, the National Standard Detection Research Center, China). Analysis methods were validated by blanks, duplicates, and standard reference materials. The recovery of spiked standard ranged from 85% to 110%. The relative deviations of the duplicate samples were <7% for all batch treatments. The detection limits for Pb, Cd, and Cr were 0.1 mg·kg−1, 0.01 mg·kg−1, and 5 mg·kg−1, respectively.

2.3. Human Exposure and Health Risk Assessment

2.3.1. Exposure Assessment

To assess the potential risk of Pb, Cd, and Cr to human health, different exposure routes of heavy metals in soils were explored, including oral ingestion, dermal absorption, and inhalation. The risk of exposure to heavy metals in soils was assessed with the U.S. EPA procedure and the exposure factors handbook for the Chinese population [31,32,33,34,35]. The assessment subjects were grouped into children under 18 years of age and adults. The average daily intake dose received through oral ingestion, dermal absorption, and inhalation was estimated using the following equations [1,32,36,37].
ADI ingestion = C S   ×   IR ing   ×   ED   ×   EF   ×   FI BW   ×   AT × 10 6
ADI dermal = C S   ×   SA   ×   AF   ×   ABS   ×   ED   ×   EF BW   ×   AT × 10 6
ADI inhalation = C S   ×   EF   ×   ED   ×   IR inh PEF   ×   BW   ×   AT
where ADI ingestion , ADI dermal , and ADI inhalation (mg/kg/day) are the average daily intake of heavy metals through oral ingestion, dermal absorption, and inhalation, respectively; Cs (mg/kg) is the concentration of heavy metals in soil. The definitions of the other variables are listed in Table S1.

2.3.2. Non-Carcinogenic Risk Assessments

The hazard quotient (HQ) was used to calculate the non-carcinogenic risk, as proposed according to Equation (4).
HQ = ADI RfD
where RfD (mg/kg/day) is the reference dose for different exposure pathways and metals (Table S2).
To assess the total non-carcinogenic risk of multiple exposure pathways and metals, the Hazard Index (HI) statistic was calculated by Equation (5).
HI = HQ
If HI is less than or equal to 1, there is no risk that non-carcinogenic effects are likely to occur. If HI is greater than 1, there is a high risk that non-carcinogenic effects are likely to occur.

2.3.3. Carcinogenic Risk Assessments

Carcinogenic risk (CR), the possibility of an individual suffering from cancer due to exposure to carcinogenic risks, was calculated with the following equation:
CR = ADI   ×   SF
where SF (mg/kg/day) is the carcinogenic slope factor of different exposure routes and metals (Table S2). The range for generally acceptable risk is under 1 × 10−4.

2.4. Statistical Analysis

All data were statistically analyzed by the R software (version 4.0.4). The Kolmogorov–Smirnov (K–S) test was used to determine the normality of concentrations of heavy metals. Mean and standard deviation (SD) were used to describe normally distributed data, and non-normally distributed data were described by median and quartile. The Kruskal–Wallis Test was employed to analyze variations in soil heavy metal concentrations. The outliers were determined according to mean ± 3SD. The software used for mapping was ArcGIS 10.2 (ESRI, Redlands, CA, USA).

3. Results and Discussion

3.1. Levels of Heavy Metals in Agricultural Soils of Zhejiang Province

The median concentrations of Pb, Cd, and Cr in the agricultural soils in Zhejiang Province were 32.2 mg·kg−1, 0.18 mg·kg−1, and 42.3 mg·kg−1, respectively (Table 1). In comparison with the background values of Zhejiang Province, taken from a large sample from the national soil heavy metals survey in China [38], the average levels of Pb and Cd were higher, while the average level of Cr was slightly lower. Of the investigated samples, the concentrations of Pb, Cd, and Cr were 71.73%, 84.94%, and 36.92%, which exceeded the background value, respectively. The rates indicated that these three heavy metals may tend to accumulate in soils, with the highest accumulation of Cd, and the lowest accumulation of Cr. Although the average concentrations of these heavy metals were below the risk screening values [39], 27 Pb samples and 241 Cd samples still exceeded the risk screening values. The result indicated that contamination from these heavy metals of agricultural soils might induce potential risks to the public health in Zhejiang Province, especially Cd.
Overall, agricultural soils in Zhejiang Province were contaminated by heavy metals to varying extents, and Pb and Cd were accumulated to a certain degree. In comparison with other regions in China, the heavy metal levels in Zhejiang Province varied. The average concentration of Pb in Zhejiang Province was close to the medium concentration in the Yangtze River and Jianghan Plain, lower than that in the Pearl River Delta Region, and slightly higher than that in the northern region (Jilin, Hebei, and Beijing) [40,41,42,43,44,45]. The high concentration of Pb might be attributable to mining activities in Zhejiang. Pb-Zn mines are located in Wenzhou, Taizhou, and other cities and counties in Zhejiang, in which high concentrations of Pb are likely to be transferred from mining activities via atmospheric deposition and irrigation [25,46,47]. Besides, Pb was also likely arising from the legacy of lead-containing gasoline in the transportation sector [46,48,49,50,51,52].
The comparison of Cd with Pb exhibited a similar pattern, which might be related to agricultural activities. Previous studies have reported that Cd could accumulate through the application of chemical fertilizers, pesticides, and manure in agricultural production [46,53,54,55,56]. The use of fertilizers and pesticides likely contributes to higher Cd levels in agricultural soils. In addition, some researchers have indicated that Cd might originate from industrial activities such as coal burning and metal smelting [57,58,59,60]. There are several special industries in Zhejiang Province, such as e-waste dismantling, which might play an important role in transferring Cd to agricultural soils [61].
The average level of Cr in Zhejiang Province was much lower than that in other regions in China [62,63], and the concentrations at most sites were lower than the baseline concentrations, suggesting that Cr pollution in agricultural soils in Zhejiang is not obvious. Related studies have demonstrated that soil Cr might be derived from the process of soil formation and related to the weathering process of parent materials [64,65]. Mining, metal electroplating, tanning, and other human activities might release lower to higher Cr-containing effluents or solid wastes to the environment [66,67]. In recent years, related industries have shown downward trends in Zhejiang Province [30]. Moreover, some studies reported that typhoons might induce the redistribution of heavy metals in agricultural soils, which might be a reason for the lower concentrations [68]. Physical, chemical, and biological remediation processes might be potential tools for addressing the problem of Cr pollution [69,70].

3.2. Spatial Distribution and Temporal Trends of Heavy Metals

3.2.1. Spatial Distribution

The levels of heavy metals in different sites in Zhejiang Province were assessed in this study (Figure 2, Table S3). The spatial distribution indicated that heavy metal concentrations had different regional characteristics in the investigated area. The findings revealed that agricultural soils in southern Zhejiang had higher Pb concentrations and the southwestern area had higher Cd concentrations, and there are no significant regional differences in the distribution of Cr concentration. The highest concentration of soil Pb was 40.9 mg·kg−1 and was detected in LS; the second-highest concentration of Pb was 37.6 mg·kg−1 and appeared in WZ. The higher Pb concentrations in southern Zhejiang might be associated with the geographical factors. This spatial distribution characteristic of Pb was similar to that of a previous survey on soil geochemical background values in Zhejiang Province [71]. In addition, the high concentration of Pb might be attributable to mining activities, such as Pb-Zn mines. Previous research found that the high soil Pb concentrations found in Zhejiang province were consistent with the location of the main Pb-Zn smelter in WZ [46].
The highest Cd concentration was observed in HaZ, which has a high degree of urbanization and industrialization. Fertilizers are reportedly important Cd sources for agricultural soils, and phosphatic fertilizers in HaZ constituted 13.14% of fertilizers used throughout the province, the second-highest concentrations; this finding is similar to the results of some previous studies [46]. Furthermore, the Cd concentration in TZ was higher than the rest of other cities. The reason for this situation might be related to e-waste dismantling activities because TZ is the largest e-waste dismantling sites in Zhejiang [72]. The concentrations of Cr were not an obvious spatial distribution characteristic. A large number of studies have shown that Cr mainly arises from soil parent material [46,49,50,73]. Sites with higher concentrations were generally found in ZS, which is one of the largest islands in China. Recent research indicated high levels of Cr near the Zhoushan Archipelago among the surface deposits of the Yangtze River and the adjacent East China Sea [74]. Furthermore, the concentrations of Cr in agricultural soil increased over time due to the excessive application of fertilizers and emissions from industrial activities [75,76]. Thus, the possible cause of the spatial distribution were local variations in industrial and agricultural development in Zhejiang Province.

3.2.2. Temporal Trends

The temporal variation in the average heavy metal content showed various patterns in agricultural soils from 2016 to 2020 (Figure 3, Table S3). In terms of temporal distribution of Pb, the overall period showed a slow but gradual upward trend, except for a slight downward trend in 2018. The concentrations of Cd, and Cr showed slight fluctuations but no significantly temporal trend. In recent years, Chinese government has taken several measures to control the sources of pollution, such as the “Action Plan on Soil Pollution Prevention and Control (APSPPC)”, which was published in 2016. Industrial enterprises involved in potential soil pollution hazards were under control, which might be the reason for the stable concentration of Cd and Cr. However, heavy metals from agricultural activities were easily ignored. According to an analysis of the use of phosphate fertilizers in Zhejiang, the proportion was further increased since 2018, which might be one of the reasons for the turning point and upward trend of Pb [77]. The increasing rate of Pb transmission is a sign that if stricter regulation and remediation measures for Pb contamination are not implemented in the future, public safety in Zhejiang might be threatened. Recent research has shown that the application of phytoremediation technology could reduce the content of Pb in soil [78,79]. Therefore, necessary measures must be applied to enhance the transformation and regulation of industrial and agricultural activities to minimize further accumulation of heavy metals.

3.3. Human Health Risk Assessment

3.3.1. Non-Carcinogenic Risk Assessment

To further analyze the potential threat to human health from the accumulation of heavy metals in agricultural soils, we conducted a human health risk assessment. The results for non-carcinogenic risks are shown in Table 2 and Figure 4. The total HI values for adults and children were 5.13 × 10−2 and 2.27 × 10−1, respectively. The HQs of these three heavy metals for children were all higher than those for adults. These results indicate that children are more susceptible to adverse effects due to the accumulation of heavy metals in agricultural soils, which may be the reason for special physiological, behavioral characteristics and vulnerability of some children. Overall, all of the HI values were less than 1, and negligible non-carcinogenic risks are likely to be experienced.
As shown in Figure 4A,B, the oral ingestion route contributed 72.38% of the non-carcinogenic risk for adults, followed by the dermal absorption route, which contributed 27.08%. For children, the oral ingestion route contributed 75.01%, and the dermal absorption route contributed 24.81%. The average oral ingestion HI for adults was 3.72 × 10−2, while the average HI of dermal absorption and inhalation were only 1.39 × 10−2 and 2.54 × 10−4, respectively. Similar proportions of these three routes regarding the non-carcinogenic risk for children and adults was also found. In general, oral ingestion is the major route of exposure to the health risks of heavy metals in the study area. Thus, attention should be paid to the importance of dietary exposure risk in the future, and activities should be scientifically implemented.
The average HI of Cr and Pb was higher than that Cd. The non-carcinogenic risks of adults and children due to Cr and Pb were mainly due to their high concentrations in soils or low reference doses. The average HQs of the three heavy metals decreased on the order of Cr > Pb > Cd (Figure 4C,D). The sum proportions of the average HI of Cr and Pb for adults and children were all close to 99%, which indicates that Cr and Pb cause the main non-carcinogenic effect factors of the three heavy metals in agricultural soils. Overall, the levels of heavy metals do not currently present a significant health risk to residents of Zhejiang province. Nevertheless, future effects due to the accumulation of Pb in soils cannot be ignored.

3.3.2. Carcinogenic Risk Assessment

The assessment results for the carcinogenic risks of heavy metals in agricultural soils are presented in Table 2. The CR of Cd and Cr for all three exposure routes was calculated, whereas the carcinogenic risk of Pb was considered only from ingestion. Similar to the pattern of non-carcinogenic risk, the calculated CR values of the three heavy metals indicated higher carcinogenic risks for children than for adults. The average CR values of Pb, Cr, and Cd for children were 1.48 × 10−7, 6.02 × 10−7, and 1.68 × 10−5, respectively, and 1.70 × 10−7, 6.88 × 10−7, and 1.83 × 10−5, respectively, for adults. According to the CR values, carcinogenic risk is mainly due to the oral ingestion route, followed by dermal absorption. Relevant studies have shown that oral ingestion of metals might induce mild to severe gastrointestinal discomfort and tissue damage, and dermal absorption could cause contact dermatitis and other allergic responses [5]. As shown in Table 2, all of the CR values were under acceptable levels (1 × 10−4). However, that the average CR values for Cr were higher than those of the two other heavy metals for adults and children, which means a higher carcinogenic risk.
These results mainly indicate that children are more likely to face non-carcinogenic or carcinogenic risks from heavy metals from agricultural soils, which was consistent with other areas [61,80,81,82]. Children are more vulnerable to contamination by heavy metals due to their lower body weight and frequently special behavior [81,83]. Additionally, the HI and CR results in this study were lower than those found in other studies, which may be caused by the samples from non-industrial areas [61,72,84]. Thus, these findings might be more applicable to residents across the province, but the risks to residents near industrial areas might be underestimated. From the perspective of exposure routes, human health risks are mainly affected by ingestion routes. Cr and Pb are critical factors among the three heavy metals in agricultural soils. To reduce health risks from heavy metals in agricultural soils, rigid environmental regulations and soil remediation measures are necessary. For instance, related research indicated that the application of phytoremediation technology could improve the physical and chemical properties of soils, promote the remediation of soils, and reduce the health and environmental risks of heavy metals [78,79]. Besides, the application of the mixed fertilizers, soil amendment and enhancement could also effectively decrease the accumulation or lessen the bioavailability of heavy metals [61,85,86].

4. Conclusions

In this study, a total sum of 1999 agricultural soils from 11 cities in Zhejiang Province, China was analyzed from 2016 to 2020. The spatial distribution and temporal trends revealed that higher Pb concentrations were mainly found in southern Zhejiang, while higher Cd concentrations were found in the southwestern area. In addition, the overall temporal distribution of Pb showed a slow but gradual upward trend. Human health risk assessment showed that the major exposure route for heavy metals in agricultural soils is oral ingestion, and children are more susceptible to detrimental influence and effects. As for individual metals, Cr showed higher carcinogenic and non-carcinogenic risks than Pb and Cd.
Although the health risk assessments of the studied areas were lower than those for industrial areas, enhanced environmental monitoring is still needed for some areas to ensure soil quality and protect human health by considering the persistence and bioaccumulation of heavy metals in the long term. Further cohort studies could be also carried out in some high heavy metal content agricultural sites to investigate their potentially adverse health effects from the perspective of molecular epidemiology.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/ijerph192214642/s1, Table S1: Parameters used for the health risk assessment in this study; Table S2: Reference dose (RfD) and slope factor (SF) of heavy metals for health risk assessment; Table S3: The concentration of heavy metals in agricultural soils of different cities from 2016 to 2020 (mg·kg−1); Table S4: Detailed sampling locations in this study. References [33,34,35,87,88,89,90,91,92,93] are cited in the supplementary materials.

Author Contributions

Conceptualization, J.X. and P.X.; Methodology, J.X., W.C. and P.X.; Software, D.X.; Validation, X.W., Z.C. and Y.C.; Formal Analysis, J.X. and P.X.; Investigation, J.X. and P.C.; Data Curation, M.X.; Writing—Original Draft Preparation, J.X.; Writing—Review and Editing, P.X. and L.W.; Visualization, X.W., Z.C. and L.W.; Supervision, B.Z. and L.W.; Project Administration, J.X. and L.W.; Funding Acquisition, J.X., P.X. and L.W. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Foundation of the Ministry of Health and Science and Technology [grant numbers WKJ-ZJ-1606], National Natural Science Foundation of China [grant number 81502786]; the National Natural Science Foundation of Zhejiang [grant number LQ14H260003]; and the Medical Science and Technology Project of Zhejiang Province [grant numbers 2020KY514, 2021KY621, 2022RC121, 2022RC122, 2023KY644, 2023KY647]. Additionally, we are all very grateful to the study participants and to everyone else who contributed to this project.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are available on request from the corresponding author.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Tang, J.; Zhang, J.; Ren, L.; Zhou, Y.; Gao, J.; Luo, L.; Yang, Y.; Peng, Q.; Huang, H.; Chen, A. Diagnosis of soil contamination using microbiological indices: A review on heavy metal pollution. J. Environ. Manag. 2019, 242, 121–130. [Google Scholar] [CrossRef] [PubMed]
  2. Yuan, X.; Xue, N.; Han, Z. A meta-analysis of heavy metals pollution in farmland and urban soils in China over the past 20 years. J. Environ. Sci. 2021, 101, 217–226. [Google Scholar] [CrossRef] [PubMed]
  3. Setia, R.; Dhaliwal, S.S.; Singh, R.; Kumar, V.; Taneja, S.; Kukal, S.S.; Pateriya, B. Phytoavailability and human risk assessment of heavy metals in soils and food crops around Sutlej river, India. Chemosphere 2021, 263, 128321. [Google Scholar] [CrossRef] [PubMed]
  4. Weissmannová, H.D.; Pavlovský, J. Indices of soil contamination by heavy metals—Methodology of calculation for pollution assessment (minireview). Environ. Monit. Assess. 2017, 189, 616. [Google Scholar] [CrossRef] [PubMed]
  5. Gujre, N.; Mitra, S.; Soni, A.; Agnihotri, R.; Rangan, L.; Rene, E.R.; Sharma, M.P. Speciation, contamination, ecological and human health risks assessment of heavy metals in soils dumped with municipal solid wastes. Chemosphere 2021, 262, 128013. [Google Scholar] [CrossRef] [PubMed]
  6. MEP (Ministry of Environmental Protection). National Soil Pollution Survey Bulletin; Ministry of Environmental Protection, Ministry of Land and Resources: Beijing, China, 2014.
  7. Ren, S.; Song, C.; Ye, S.; Cheng, C.; Gao, P. The spatiotemporal variation in heavy metals in China’s farmland soil over the past 20 years: A meta-analysis. Sci. Total Environ. 2022, 806, 150322. [Google Scholar] [CrossRef]
  8. Oubane, M.; Khadra, A.; Ezzariai, A.; Kouisni, L.; Hafidi, M. Heavy metal accumulation and genotoxic effect of long-term wastewater irrigated peri-urban agricultural soils in semiarid climate. Sci. Total Environ. 2021, 794, 148611. [Google Scholar] [CrossRef]
  9. Farhadkhani, M.; Nikaeen, M.; Yadegarfar, G.; Hatamzadeh, M.; Pourmohammadbagher, H.; Sahbaei, Z.; Rahmani, H.R. Effects of irrigation with secondary treated wastewater on physicochemical and microbial properties of soil and produce safety in a semi-arid area. Water Res. 2018, 144, 356–364. [Google Scholar] [CrossRef]
  10. Zhong, Q.; Cruz-Paredes, C.; Zhang, S.; Rousk, J. Can heavy metal pollution induce bacterial resistance to heavy metals and antibiotics in soils from an ancient land-mine? J. Hazard. Mater. 2021, 411, 124962. [Google Scholar] [CrossRef]
  11. Deng, M.; Zhu, Y.; Shao, K.; Zhang, Q.; Ye, G.; Shen, J. Metals source apportionment in farmland soil and the prediction of metal transfer in the soil-rice-human chain. J. Environ. Manag. 2020, 260, 110092. [Google Scholar] [CrossRef]
  12. Yang, L.; Ren, Q.; Zheng, K.; Jiao, Z.; Ruan, X.; Wang, Y. Migration of heavy metals in the soil-grape system and potential health risk assessment. Sci. Total Environ. 2022, 806, 150646. [Google Scholar] [CrossRef] [PubMed]
  13. Yang, L.; Ren, Q.; Ge, S.; Jiao, Z.; Zhan, W.; Hou, R.; Ruan, X.; Pan, Y.; Wang, Y. Metal(loid)s Spatial Distribution, Accumulation, and Potential Health Risk Assessment in Soil-Wheat Systems near a Pb/Zn Smelter in Henan Province, Central China. Int. J. Environ. Res. Public Health 2022, 19, 2527. [Google Scholar] [CrossRef] [PubMed]
  14. IARC (International Agency for Research on Cancer). Cadmium and Cadmium Compounds. Monographs on Evaluation of Carcinogenic Risks to Humans; IARC Working Group on the Evaluation of Carcinogenic Risks to Human: Lyon, France, 1993. [Google Scholar]
  15. Zheng, H.; Ren, Q.; Zheng, K.; Qin, Z.; Wang, Y.; Wang, Y. Spatial distribution and risk assessment of metal(loid)s in marine sediments in the Arctic Ocean and Bering Sea. Mar. Pollut. Bull. 2022, 179, 113729. [Google Scholar] [CrossRef] [PubMed]
  16. Shahid, M.; Shamshad, S.; Rafiq, M.; Khalid, S.; Bibi, I.; Niazi, N.K.; Dumat, C.; Rashid, M.I. Chromium speciation, bioavailability, uptake, toxicity and detoxification in soil-plant system: A review. Chemosphere 2017, 178, 513–533. [Google Scholar] [CrossRef]
  17. Ma, W. Lead in Mammals. In Environmental Contaminants in Wildlife: Interpreting Tissue Concentrations; CRC Press Inc.: Boca Raton, FL, USA, 1996; pp. 281–296. [Google Scholar]
  18. Peralta-Videa, J.R.; Lopez, M.L.; Narayan, M.; Saupe, G.; Gardea-Torresdey, J. The biochemistry of environmental heavy metal uptake by plants: Implications for the food chain. Int. J. Biochem. Cell Biol. 2009, 41, 1665–1677. [Google Scholar] [CrossRef]
  19. Chen, H.; Yuan, X.; Li, T.; Hu, S.; Ji, J.; Wang, C. Characteristics of heavy metal transfer and their influencing factors in different soil-crop systems of the industrialization region, China. Ecotoxicol. Environ. Saf. 2016, 126, 193–201. [Google Scholar] [CrossRef]
  20. Cui, Y.; Zhu, Y.G.; Zhai, R.; Huang, Y.; Qiu, Y.; Liang, J. Exposure to metal mixtures and human health impacts in a contaminated area in Nanning, China. Environ. Int. 2005, 31, 784–790. [Google Scholar] [CrossRef]
  21. Shao, D.; Zhan, Y.; Zhou, W.; Zhu, L. Current status and temporal trend of heavy metals in farmland soil of the Yangtze River Delta Region: Field survey and meta-analysis. Environ. Pollut. 2016, 219, 329–336. [Google Scholar] [CrossRef]
  22. Wang, J.; Wang, L.; Wang, Y.; Tsang, D.C.W.; Yang, X.; Beiyuan, J.; Yin, M.; Xiao, T.; Jiang, Y.; Lin, W.; et al. Emerging risks of toxic metal(loid)s in soil-vegetables influenced by steel-making activities and isotopic source apportionment. Environ. Int. 2021, 146, 106207. [Google Scholar] [CrossRef]
  23. Liu, J.; Li, N.; Zhang, W.; Wei, X.; Tsang, D.C.W.; Sun, Y.; Luo, X.; Bao, Z.; Zheng, W.; Wang, J.; et al. Thallium contamination in farmlands and common vegetables in a pyrite mining city and potential health risks. Environ. Pollut. 2019, 248, 906–915. [Google Scholar] [CrossRef]
  24. Hu, B.; Shao, S.; Fu, Z.; Li, Y.; Ni, H.; Chen, S.; Zhou, Y.; Jin, B.; Shi, Z. Identifying heavy metal pollution hot spots in soil-rice systems: A case study in South of Yangtze River Delta, China. Sci. Total Environ. 2019, 658, 614–625. [Google Scholar] [CrossRef] [PubMed]
  25. Jin, G.; Fang, W.; Shafi, M.; Wu, D.; Li, Y.; Zhong, B.; Ma, J.; Liu, D. Source apportionment of heavy metals in farmland soil with application of APCS-MLR model: A pilot study for restoration of farmland in Shaoxing City Zhejiang, China. Ecotoxicol. Environ. Saf. 2019, 184, 109495. [Google Scholar] [CrossRef] [PubMed]
  26. Shao, S.; Hu, B.; Tao, Y.; You, Q.; Huang, M.; Zhou, L.; Chen, Q.; Shi, Z. Comprehensive source identification and apportionment analysis of five heavy metals in soils in Wenzhou City, China. Environ. Geochem. Health 2022, 44, 579–602. [Google Scholar] [CrossRef]
  27. Wang, Z.; Han, R.; Muhammad, A.; Guan, D.X.; Zama, E.; Li, G. Correlative distribution of DOM and heavy metals in the soils of the Zhangxi watershed in Ningbo city, East of China. Environ. Pollut. 2022, 299, 118811. [Google Scholar] [CrossRef] [PubMed]
  28. Yang, S.; He, M.; Zhi, Y.; Chang, S.X.; Gu, B.; Liu, X.; Xu, J. An integrated analysis on source-exposure risk of heavy metals in agricultural soils near intense electronic waste recycling activities. Environ. Int. 2019, 133, 105239. [Google Scholar] [CrossRef] [PubMed]
  29. DNRZP (Department of Natural Resources of Zhejiang Province). Land Use Changes in Zhejiang Province. Available online: http://zrzyt.zj.gov.cn (accessed on 22 March 2022).
  30. ZPBS (Zhejiang Provincial Bureau of Statistics). Zhejiang Statistical Yearbook 2020. Available online: http://tjj.zj.gov.cn/col/col1525563/index.html (accessed on 1 March 2022).
  31. USEPA. Guidelines for the Health Risk Assessment of Chemical Mixtures; US Environmental Protection Agency: Washington, DC, USA, 1986.
  32. USEPA. Risk Assessment Guidance for Superfund. In Human Health Evaluation Manual, (Part A); Office of Emergency and Remedial Response: Washington, DC, USA, 1989. [Google Scholar]
  33. USEPA. Supplemental Guidance for Developing Soil Screening Levels for Superfund Sites; Office of Solid Waste and Emergency Response: Washington, DC, USA, 2001. [Google Scholar]
  34. Duan, X.L. Exposure Factors Handbook of Chinese Population: Adults; China Environmental Science Press: Beijing, China, 2016. [Google Scholar]
  35. Duan, X.L. Exposure Factors Handbook of Chinese Population: Children; China Environmental Science Press: Beijing, China, 2016. [Google Scholar]
  36. Kan, X.; Dong, Y.; Feng, L.; Zhou, M.; Hou, H. Contamination and health risk assessment of heavy metals in China’s lead-zinc mine tailings: A meta-analysis. Chemosphere 2021, 267, 128909. [Google Scholar] [CrossRef]
  37. Kumar, V.; Parihar, R.D.; Sharma, A.; Bakshi, P.; Singh Sidhu, G.P.; Bali, A.S.; Karaouzas, I.; Bhardwaj, R.; Thukral, A.K.; Gyasi-Agyei, Y.; et al. Global evaluation of heavy metal content in surface water bodies: A meta-analysis using heavy metal pollution indices and multivariate statistical analyses. Chemosphere 2019, 236, 124364. [Google Scholar] [CrossRef]
  38. CNEMC (China National Environmental Monitoring Center). The Soil Background Value in China; China Environmental Science Press: Beijing, China, 1990. [Google Scholar]
  39. GB15618-2018, Soil Environmental Quality Risk Control Standard for Soil Contamination of Agricultural Land; Ministry of Environmental Protection, Ministry of Land and Resources: Beijing, China, 2018.
  40. Liu, P.; Wu, Q.; Wang, X.; Hu, W.; Liu, X.; Tian, K.; Fan, Y.; Xie, E.; Zhao, Y.; Huang, B.; et al. Spatiotemporal variation and sources of soil heavy metals along the lower reaches of Yangtze River, China. Chemosphere 2022, 291, 132768. [Google Scholar] [CrossRef]
  41. Wang, P.; Li, Z.; Liu, J.; Bi, X.; Ning, Y.; Yang, S.; Yang, X. Apportionment of sources of heavy metals to agricultural soils using isotope fingerprints and multivariate statistical analyses. Environ. Pollut. 2019, 249, 208–216. [Google Scholar] [CrossRef]
  42. Peng, J.; Li, F.; Zhang, J.; Chen, Y.; Cao, T.; Tong, Z.; Liu, X.; Liang, X.; Zhao, X. Comprehensive assessment of heavy metals pollution of farmland soil and crops in Jilin Province. Environ. Geochem. Health 2020, 42, 4369–4383. [Google Scholar] [CrossRef]
  43. Cai, K.; Li, C. Ecological Risk, Input Flux, and Source of Heavy Metals in the Agricultural Plain of Hebei Province, China. Int. J. Environ. Res. Public Health 2022, 19, 2288. [Google Scholar] [CrossRef] [PubMed]
  44. Lu, A.; Wang, J.; Qin, X.; Wang, K.; Han, P.; Zhang, S. Multivariate and geostatistical analyses of the spatial distribution and origin of heavy metals in the agricultural soils in Shunyi, Beijing, China. Sci. Total Environ. 2012, 425, 66–74. [Google Scholar] [CrossRef] [PubMed]
  45. Li, C.; Li, F.; Wu, Z.; Cheng, J. Effects of landscape heterogeneity on the elevated trace metal concentrations in agricultural soils at multiple scales in the Pearl River Delta, South China. Environ. Pollut. 2015, 206, 264–274. [Google Scholar] [CrossRef]
  46. Yang, S.; Qu, Y.; Ma, J.; Liu, L.; Wu, H.; Liu, Q.; Gong, Y.; Chen, Y.; Wu, Y. Comparison of the concentrations, sources, and distributions of heavy metal(loid)s in agricultural soils of two provinces in the Yangtze River Delta, China. Environ. Pollut. 2020, 264, 114688. [Google Scholar] [CrossRef]
  47. Liu, J.; Zhou, Y.; She, J.; Tsang, D.C.W.; Lippold, H.; Wang, J.; Jiang, Y.; Wei, X.; Yuan, W.; Luo, X.; et al. Quantitative isotopic fingerprinting of thallium associated with potentially toxic elements (PTEs) in fluvial sediment cores with multiple anthropogenic sources. Environ. Pollut. 2020, 266, 115252. [Google Scholar] [CrossRef] [PubMed]
  48. Wang, J.; Su, J.; Li, Z.; Liu, B.; Cheng, G.; Jiang, Y.; Li, Y.; Zhou, S.; Yuan, W. Source apportionment of heavy metal and their health risks in soil-dustfall-plant system nearby a typical non-ferrous metal mining area of Tongling, Eastern China. Environ. Pollut. 2019, 254, 113089. [Google Scholar] [CrossRef]
  49. Wang, S.; Cai, L.M.; Wen, H.H.; Luo, J.; Wang, Q.S.; Liu, X. Spatial distribution and source apportionment of heavy metals in soil from a typical county-level city of Guangdong Province, China. Sci. Total Environ. 2019, 655, 92–101. [Google Scholar] [CrossRef]
  50. Cai, L.M.; Wang, Q.S.; Wen, H.H.; Luo, J.; Wang, S. Heavy metals in agricultural soils from a typical township in Guangdong Province, China: Occurrences and spatial distribution. Ecotoxicol. Environ. Saf. 2019, 168, 184–191. [Google Scholar] [CrossRef]
  51. Cai, L.; Xu, Z.; Ren, M.; Guo, Q.; Hu, X.; Hu, G.; Wan, H.; Peng, P. Source identification of eight hazardous heavy metals in agricultural soils of Huizhou, Guangdong Province, China. Ecotoxicol. Environ. Saf. 2012, 78, 2–8. [Google Scholar] [CrossRef]
  52. Hu, W.; Wang, H.; Dong, L.; Huang, B.; Borggaard, O.K.; Bruun Hansen, H.C.; He, Y.; Holm, P.E. Source identification of heavy metals in peri-urban agricultural soils of southeast China: An integrated approach. Environ. Pollut. 2018, 237, 650–661. [Google Scholar] [CrossRef]
  53. Shi, T.; Zhang, Y.; Gong, Y.; Ma, J.; Wei, H.; Wu, X.; Zhao, L.; Hou, H. Status of cadmium accumulation in agricultural soils across China (1975–2016): From temporal and spatial variations to risk assessment. Chemosphere 2019, 230, 136–143. [Google Scholar] [CrossRef] [PubMed]
  54. Sun, C.; Liu, J.; Wang, Y.; Sun, L.; Yu, H. Multivariate and geostatistical analyses of the spatial distribution and sources of heavy metals in agricultural soil in Dehui, Northeast China. Chemosphere 2013, 92, 517–523. [Google Scholar] [CrossRef] [PubMed]
  55. Ju, X.T.; Kou, C.L.; Christie, P.; Dou, Z.X.; Zhang, F.S. Changes in the soil environment from excessive application of fertilizers and manures to two contrasting intensive cropping systems on the North China Plain. Environ. Pollut. 2007, 145, 497–506. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  56. Xu, X.; Zhao, Y.; Zhao, X.; Wang, Y.; Deng, W. Sources of heavy metal pollution in agricultural soils of a rapidly industrializing area in the Yangtze Delta of China. Ecotoxicol. Environ. Saf. 2014, 108, 161–167. [Google Scholar] [CrossRef]
  57. Li, Z.; Luo, Y.; Song, J.; Wu, L.; Zhang, C.; Zhao, Q. Ecological risk assessment of heavy metal polluted soil: A case study. Soils 2006, 38, 566–567. [Google Scholar]
  58. Wu, C.; Wu, J.; Luo, Y.; Zhang, H.; Teng, Y. Statistical and geoestatistical characterization of heavy metal concentrations in a contaminated area taking into account soil map units. Geoderma 2008, 144, 171–179. [Google Scholar] [CrossRef]
  59. Liang, J.; Feng, C.; Zeng, G.; Gao, X.; Zhong, M.; Li, X.; Li, X.; He, X.; Fang, Y. Spatial distribution and source identification of heavy metals in surface soils in a typical coal mine city, Lianyuan, China. Environ. Pollut. 2017, 225, 681–690. [Google Scholar] [CrossRef]
  60. Tian, H.; Cheng, K.; Wang, Y.; Zhao, D.; Lu, L.; Jia, W.; Hao, J. Temporal and spatial variation characteristics of atmospheric emissions of Cd, Cr, and Pb from coal in China. Atmos. Environ. 2012, 50, 157–163. [Google Scholar] [CrossRef]
  61. Liu, X.; Gu, S.; Yang, S.; Deng, J.; Xu, J. Heavy metals in soil-vegetable system around E-waste site and the health risk assessment. Sci. Total Environ. 2021, 779, 146438. [Google Scholar] [CrossRef]
  62. Deng, W.; Li, X.; An, Z.; Yang, L.; Hou, K.; Zhang, Y. Identification of sources of metal in the agricultural soils of the Guanzhong Plain, northwest China. Environ. Toxicol. Chem. 2017, 36, 1510–1516. [Google Scholar] [CrossRef]
  63. Zhou, L.; Yang, B.; Xue, N.; Li, F.; Seip, H.M.; Cong, X.; Yan, Y.; Liu, B.; Han, B.; Li, H. Ecological risks and potential sources of heavy metals in agricultural soils from Huanghuai Plain, China. Environ. Sci. Pollut. Res. Int. 2014, 21, 1360–1369. [Google Scholar] [CrossRef] [PubMed]
  64. Tian, K.; Huang, B.; Xing, Z.; Hu, W. Geochemical baseline establishment and ecological risk evaluation of heavy metals in greenhouse soils from Dongtai, China. Ecol. Indic. 2017, 72, 510–520. [Google Scholar] [CrossRef]
  65. Liu, P.; Hu, W.; Tian, K.; Huang, B.; Zhao, Y.; Wang, X.; Zhou, Y.; Shi, B.; Kwon, B.O.; Choi, K.; et al. Accumulation and ecological risk of heavy metals in soils along the coastal areas of the Bohai Sea and the Yellow Sea: A comparative study of China and South Korea. Environ. Int. 2020, 137, 105519. [Google Scholar] [CrossRef]
  66. Kamaludeen, S.P.; Megharaj, M.; Juhasz, A.L.; Sethunathan, N.; Naidu, R. Chromium-microorganism interactions in soils: Remediation implications. Rev. Environ. Contam. Toxicol. 2003, 178, 93–164. [Google Scholar] [CrossRef] [PubMed]
  67. Calder, L. Chromium Contamination of Groundwater. In Advances in Environmental Science and Technology (USA); John Wiley and Sons Ltd.: Hoboken, NJ, USA, 1988. [Google Scholar]
  68. Ji, Y.; Xu, J.; Zhu, L. Impact of a super typhoon on heavy metal distribution, migration, availability in agricultural soils. Environ. Pollut. 2021, 289, 117835. [Google Scholar] [CrossRef]
  69. Barrera-Díaz, C.E.; Lugo-Lugo, V.; Bilyeu, B. A review of chemical, electrochemical and biological methods for aqueous Cr(VI) reduction. J. Hazard. Mater. 2012, 223–224, 1–12. [Google Scholar] [CrossRef]
  70. Dhal, B.; Thatoi, H.N.; Das, N.N.; Pandey, B.D. Chemical and microbial remediation of hexavalent chromium from contaminated soil and mining/metallurgical solid waste: A review. J. Hazard. Mater. 2013, 250–251, 272–291. [Google Scholar] [CrossRef]
  71. Dong, Y.; Zheng, W.; Zhou, J.-H. Soil Geochemical Background Value of Zhejiang Province; Geological Publishing House: Beijing, China, 2007. [Google Scholar]
  72. Liang, Q.; Tian, K.; Li, L.; He, Y.; Zhao, T.; Liu, B.; Wu, Q.; Huang, B.; Zhao, L.; Teng, Y. Ecological and human health risk assessment of heavy metals based on their source apportionment in cropland soils around an e-waste dismantling site, Southeast China. Ecotoxicol. Environ. Saf. 2022, 242, 113929. [Google Scholar] [CrossRef]
  73. Lv, J. Multivariate receptor models and robust geostatistics to estimate source apportionment of heavy metals in soils. Environ. Pollut. 2019, 244, 72–83. [Google Scholar] [CrossRef]
  74. Zhuang, W.; Zhou, F. Distribution, source and pollution assessment of heavy metals in the surface sediments of the Yangtze River Estuary and its adjacent East China Sea. Mar. Pollut. Bull. 2021, 164, 112002. [Google Scholar] [CrossRef]
  75. Jiang, Y.; Ye, Y.; Guo, X. Spatiotemporal variation of soil heavy metals in farmland influenced by human activities in the Poyang Lake region, China. Catena 2019, 176, 279–288. [Google Scholar] [CrossRef]
  76. Rodríguez Martín, J.A.; De Arana, C.; Ramos-Miras, J.J.; Gil, C.; Boluda, R. Impact of 70 years urban growth associated with heavy metal pollution. Environ. Pollut. 2015, 196, 156–163. [Google Scholar] [CrossRef] [PubMed]
  77. ZPBS (Zhejiang Provincial Bureau of Statistics). Zhejiang Statistical Yearbook 2018. Available online: http://tjj.zj.gov.cn/col/col1525563/index.html (accessed on 1 March 2022).
  78. He, L.; Su, R.; Chen, Y.; Zeng, P.; Du, L.; Cai, B.; Zhang, A.; Zhu, H. Integration of manganese accumulation, subcellular distribution, chemical forms, and physiological responses to understand manganese tolerance in Macleaya cordata. Environ. Sci. Pollut. Res. Int. 2022, 29, 39017–39026. [Google Scholar] [CrossRef]
  79. Su, R.; Ou, Q.; Wang, H.; Luo, Y.; Dai, X.; Wang, Y.; Chen, Y.; Shi, L. Comparison of Phytoremediation Potential of Nerium indicum with Inorganic Modifier Calcium Carbonate and Organic Modifier Mushroom Residue to Lead-Zinc Tailings. Int. J. Environ. Res. Public Health 2022, 19, 10353. [Google Scholar] [CrossRef] [PubMed]
  80. Chen, L.; Zhou, S.; Shi, Y.; Wang, C.; Li, B.; Li, Y.; Wu, S. Heavy metals in food crops, soil, and water in the Lihe River Watershed of the Taihu Region and their potential health risks when ingested. Sci. Total Environ. 2018, 615, 141–149. [Google Scholar] [CrossRef] [PubMed]
  81. Zhang, R.; Chen, T.; Zhang, Y.; Hou, Y.; Chang, Q. Health risk assessment of heavy metals in agricultural soils and identification of main influencing factors in a typical industrial park in northwest China. Chemosphere 2020, 252, 126591. [Google Scholar] [CrossRef]
  82. Yang, S.; Gu, S.; He, M.; Tang, X.; Ma, L.Q.; Xu, J.; Liu, X. Policy adjustment impacts Cd, Cu, Ni, Pb and Zn contamination in soils around e-waste area: Concentrations, sources and health risks. Sci. Total Environ. 2020, 741, 140442. [Google Scholar] [CrossRef]
  83. Gupta, N.; Yadav, K.K.; Kumar, V.; Cabral-Pinto, M.M.S.; Alam, M.; Kumar, S.; Prasad, S. Appraisal of contamination of heavy metals and health risk in agricultural soil of Jhansi city, India. Environ. Toxicol. Pharmacol. 2021, 88, 103740. [Google Scholar] [CrossRef]
  84. Huang, Y.; Chen, Q.; Deng, M.; Japenga, J.; Li, T.; Yang, X.; He, Z. Heavy metal pollution and health risk assessment of agricultural soils in a typical peri-urban area in southeast China. J. Environ. Manag. 2018, 207, 159–168. [Google Scholar] [CrossRef]
  85. Novak, J.M.; Ippolito, J.A.; Ducey, T.F.; Watts, D.W.; Spokas, K.A.; Trippe, K.M.; Sigua, G.C.; Johnson, M.G. Remediation of an acidic mine spoil: Miscanthus biochar and lime amendment affects metal availability, plant growth, and soil enzyme activity. Chemosphere 2018, 205, 709–718. [Google Scholar] [CrossRef]
  86. Li, H.; Ye, X.; Geng, Z.; Zhou, H.; Guo, X.; Zhang, Y.; Zhao, H.; Wang, G. The influence of biochar type on long-term stabilization for Cd and Cu in contaminated paddy soils. J. Hazard. Mater. 2016, 304, 40–48. [Google Scholar] [CrossRef] [PubMed]
  87. UAEPA. Exposure Factors Handbook (Final Report); US Environmental Protection Agency: Washington, DC, USA, 2011.
  88. MEPC. Technical Guidelines for Risk Assessment of Contaminated Sites; HJ 25.3-2014; Ministry of Environmental Protection of the People’s Republic of China: Beijing, China, 2014. [Google Scholar]
  89. Obiri-Nyarko, F.; Duah, A.A.; Karikari, A.Y.; Agyekum, W.A.; Manu, E.; Tagoe, R. Assessment of heavy metal contamination in soils at the Kpone landfill site, Ghana: Implication for ecological and health risk assessment. Chemosphere 2021, 282, 131007. [Google Scholar] [CrossRef] [PubMed]
  90. USEPA. Supplemental Guidance for Developing Soil Screening Levels for Superfund Sites; US Environmental Protection Agency: Washington, DC, USA, 2002.
  91. Cheng, Z.; Chen, L.J.; Li, H.H.; Lin, J.Q.; Yang, Z.B.; Yang, Y.X.; Xu, X.X.; Xian, J.R.; Shao, J.R.; Zhu, X.M. Characteristics and health risk assessment of heavy metals exposure via household dust from urban area in Chengdu, China. Sci. Total Environ. 2018, 619–620, 621–629. [Google Scholar] [CrossRef]
  92. Jiang, Y.; Chao, S.; Liu, J.; Yang, Y.; Chen, Y.; Zhang, A.; Cao, H. Source apportionment and health risk assessment of heavy metals in soil for a township in Jiangsu Province, China. Chemosphere 2017, 168, 1658–1668. [Google Scholar] [CrossRef] [PubMed]
  93. Cao, S.; Duan, X.; Zhao, X.; Wang, B.; Ma, J.; Fan, D.; Sun, C.; He, B.; Wei, F.; Jiang, G. Health risk assessment of various metal(loid)s via multiple exposure pathways on children living near a typical lead-acid battery plant, China. Environ. Pollut. 2015, 200, 16–23. [Google Scholar] [CrossRef]
Figure 1. Study area and sampling located townships. (HaZ: Hangzhou, NB: Ningbo, WZ: Wenzhou, JX: Jiaxing, HuZ: Huzhou, SX: Shaoxing, JH: Jinhua, QZ: Quzhou, ZS: Zhoushan, TZ: Taizhou, LS: Lishui).
Figure 1. Study area and sampling located townships. (HaZ: Hangzhou, NB: Ningbo, WZ: Wenzhou, JX: Jiaxing, HuZ: Huzhou, SX: Shaoxing, JH: Jinhua, QZ: Quzhou, ZS: Zhoushan, TZ: Taizhou, LS: Lishui).
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Figure 2. Average concentrations of heavy metals in agricultural soils in various cities in Zhejiang Province. (A): Average concentrations of Pb in agricultural soils in various cities in Zhejiang Province. (B): Average concentrations of Cd in agricultural soils in various cities in Zhejiang Province. (C): Average concentrations of Cr in agricultural soils in various cities in Zhejiang Province.
Figure 2. Average concentrations of heavy metals in agricultural soils in various cities in Zhejiang Province. (A): Average concentrations of Pb in agricultural soils in various cities in Zhejiang Province. (B): Average concentrations of Cd in agricultural soils in various cities in Zhejiang Province. (C): Average concentrations of Cr in agricultural soils in various cities in Zhejiang Province.
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Figure 3. Temporal variations (2016–2020) in heavy metal concentrations (mg/kg) in agricultural soils in Zhejiang. (A): Temporal variations in Pb concentrations in agricultural soils in Zhejiang. (B): Temporal variations in Cd concentrations in agricultural soils in Zhejiang. (C): Temporal variations in Cr concentrations in agricultural soils in Zhejiang.
Figure 3. Temporal variations (2016–2020) in heavy metal concentrations (mg/kg) in agricultural soils in Zhejiang. (A): Temporal variations in Pb concentrations in agricultural soils in Zhejiang. (B): Temporal variations in Cd concentrations in agricultural soils in Zhejiang. (C): Temporal variations in Cr concentrations in agricultural soils in Zhejiang.
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Figure 4. Contribution of various exposure routes and different metals to HI values. (A): Contribution of various routes to HI values for adults. (B): Contribution of various routes to HI values for children. (C): Contribution of different metals to HI values for adults. (D): Contribution of different metals to HI values for children.
Figure 4. Contribution of various exposure routes and different metals to HI values. (A): Contribution of various routes to HI values for adults. (B): Contribution of various routes to HI values for children. (C): Contribution of different metals to HI values for adults. (D): Contribution of different metals to HI values for children.
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Table 1. Average concentration (mg·kg−1) of heavy metals in agricultural soils in Zhejiang Province and other regions.
Table 1. Average concentration (mg·kg−1) of heavy metals in agricultural soils in Zhejiang Province and other regions.
YearLocationSample NumbersPbCdCrReference
MedianMinMaxMedianMinMaxMedianMinMax
2019Yangtze River, China9529.3014.20720.000.270.121.7484.4061.60119.00[31]
2016Jilin, China7923.427.0070.350.1550.0460.620---[33]
2016Guanzhong Plain, China22724.416.8125.1---69.455.5306.2[53]
2015Jianghan Plain, China23434.33.4068.90.450.061.46---[32]
2012Hebei, China28723.5013.70125.700.160.054.5267.2025.00112.10[34]
2009Beijing, China41220.410.337.50.1360.0150.469---[35]
2008Huanghuai Plain, China22424.014.328.60.160.060.5272.247.7361[54]
2002–2005Pearl River Delta, China138446.697.062840.140.0042.9539.50.721137[36]
2016–2020Zhejiang, China199932.20.05151.00.180.0052.4042.32.5237.4This study
1990Zhejiang background value, China7623.7--0.07--52.9--[29]
1990Background value, China409526.0--0.097--61.0--[29]
Table 2. Health risk assessment of different routes and heavy metals.
Table 2. Health risk assessment of different routes and heavy metals.
Non–Carcinogenic Hazard IndexCarcinogenic Risk Index
Mean for AdultsMean for ChildrenMean for AdultsMean for Children
Ingestion3.72 × 10−21.70 × 10−11.22 × 10−51.40 × 10−5
Dermal1.39 × 10−25.62 × 10−25.15 × 10−65.20 × 10−6
Inhalation2.75 × 10−44.05 × 10−41.42 × 10−73.10 × 10−8
Pb1.56 × 10−27.10 × 10−21.48 × 10−71.70 × 10−7
Cd6.07 × 10−42.60 × 10−36.02 × 10−76.88 × 10−7
Cr3.51 × 10−21.53 × 10−11.68 × 10−51.83 × 10−5
Total5.13 × 10−22.27 × 10−11.75 × 10−51.92 × 10−5
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Xiang, J.; Xu, P.; Chen, W.; Wang, X.; Chen, Z.; Xu, D.; Chen, Y.; Xing, M.; Cheng, P.; Wu, L.; et al. Pollution Characteristics and Health Risk Assessment of Heavy Metals in Agricultural Soils over the Past Five Years in Zhejiang, Southeast China. Int. J. Environ. Res. Public Health 2022, 19, 14642. https://doi.org/10.3390/ijerph192214642

AMA Style

Xiang J, Xu P, Chen W, Wang X, Chen Z, Xu D, Chen Y, Xing M, Cheng P, Wu L, et al. Pollution Characteristics and Health Risk Assessment of Heavy Metals in Agricultural Soils over the Past Five Years in Zhejiang, Southeast China. International Journal of Environmental Research and Public Health. 2022; 19(22):14642. https://doi.org/10.3390/ijerph192214642

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Xiang, Jie, Peiwei Xu, Weizhong Chen, Xiaofeng Wang, Zhijian Chen, Dandan Xu, Yuan Chen, Mingluan Xing, Ping Cheng, Lizhi Wu, and et al. 2022. "Pollution Characteristics and Health Risk Assessment of Heavy Metals in Agricultural Soils over the Past Five Years in Zhejiang, Southeast China" International Journal of Environmental Research and Public Health 19, no. 22: 14642. https://doi.org/10.3390/ijerph192214642

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