Modeling and mapping of critical loads for heavy metals in Kunshan soil

Wu, Shishan; Shi, Yaxing; Zhou, Shenglü; Wang, Chunhui; Chen, Hao

doi:10.1016/j.scitotenv.2016.06.072

Cited by 28 publications

(14 citation statements)

References 23 publications

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“…Farmland topsoil differs from natural soil because it is strongly shaped by agricultural practices, and has a direct influence on food quality and safety [ 4 , 5 , 6 , 7 ]. Furthermore, farmland soil accumulates most of the generated pollutants, especially toxic elements, due to its good absorbability [ 8 , 9 ]. Toxic elements in farmland soil are the subject of increasing attention and study owing to their coversion, persistence and irreversibility [ 10 ].…”

Section: Introductionmentioning

confidence: 99%

“…The toxic elements have different poisoning influence on the human body through their potential effects on the neurological system, kidney function, ossification process and various other organs [ 17 ]. Therefore, many studies have been devoted to soil contamination by toxic elements and management strategies for farmland soil [ 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 ].…”

Section: Introductionmentioning

confidence: 99%

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Human Health Risk Assessment of Toxic Elements in Farmland Topsoil with Source Identification in Jilin Province, China

Zhang

Cao

et al. 2018

IJERPH

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The presence of toxic elements in agricultural soils from anthropogenic activities is a potential threat to human health through the food chain. In this study, the concentration of toxic elements in 122 agricultural topsoil composite samples were determined in order to study the current status, identify their sources and assess the level of pollution and human health risk. The results showed that the mean concentrations of Zn, Cu, Pb, Cd, Hg and As in the farmland topsoil were 21.72, 15.09, 36.08, 0.2451, 0.0378 and 4.957 mg·kg−1, respectively. The spatial distribution showed that the soils were mainly contaminated by Cd, Pb and Hg in midwest Jilin but by Cu and As in the east. According to the pollution index (Pi), Nemerow integrated pollution index (PN) and Geo-Accumulation Index (Igeo), Cd and Pb were the main pollutants in the soils. The occurrence of these elements was caused by anthropogenic activities and they were concentrated in the Songyuan-Changchun-Siping economic belt. There is limited non-carcinogenic and carcinogenic health risk to humans. Principal component analyses suggest the Pb, Cd and Hg soil contamination was mainly derived from anthropogenic activities in the Midwest, but all examined toxic elements in the east were mainly due to geogenic anomalies and came from atmospheric deposition.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Human Health Risk Assessment of Toxic Elements in Farmland Topsoil with Source Identification in Jilin Province, China

Zhang

Cao

et al. 2018

IJERPH

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“…Heavy metals and metalloids that accumulate in the soil can inhibit soil function, poison plants and contaminate the food chain [4][5][6]. When heavy metals and metalloids have been transported from the soil to other environmental media, such as groundwater or crops, they can pose a threat to human health as a consequence of inhalation or of three kinds of industry-agriculture, industries and services-is 10 …”

Section: Introductionmentioning

confidence: 99%

Spatial Characteristics, Health Risk Assessment and Sustainable Management of Heavy Metals and Metalloids in Soils from Central China

Cai

Zhang

2018

Sustainability

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Abstract:The contents of seven toxic metals (Cu, Cr, Cd, Zn, Pb, Hg and As) in soils from Central China, including Henan Province, Hubei Province and Hunan Province, were collected from published papers from 2007 to 2017. The geoaccumulation index, health risk assessment model and statistics were adopted to study the spatial contamination pattern, to assess the human health risks and to identify the priority control pollutants. The concentrations of soil metals in Central China, especially Cd (1.31 mg/kg), Pb (44.43 mg/kg) and Hg (0.19 mg/kg), surpassed their corresponding background values, and the I geo values of Cd and Hg varied the most, ranging from the unpolluted level to the extremely polluted level. The concentrations of toxic metals were higher in the southern and northern parts of Central China, contrasting to the lowest contents in the middle parts. For non-carcinogenic risk, the hazard index (HI) values for the children in Hubei Province (1.10) and Hunan Province (1.41) exceeded the safe level of one, with higher health risks to children than adults, and the hazard quotient (HQ) values of the three exposure pathways for both children and adults in Central China decreased in the following order: ingestion > dermal contact > inhalation. For carcinogenic risk (CR), the CR values for children in Hubei Province (2.55 × 10 −4 ), Hunan Province (3.44 × 10 −4 ) and Henan Province (1.69 × 10 −4 ), and the CR for adults in Hubei Province (3.67 × 10 −5 ), Hunan Province (4.92 × 10 −5 ) and Henan Province (2.45 × 10 −5 ) exceeded the unacceptable level (10 −4 ) and acceptable level (10 −6 ), respectively. Arsenic (As) appeared to be the main metalloid for both children and adults causing the high carcinogenic risk. For sustainable development in Central China, special attention should be paid to Cd, Hg, Cr, Pb and As, identified as the priority control soil metals. Importance should also be attached to public education, source control, and the remediation of the highly contaminated soils, especially in the areas where it can endanger the groundwater. Furthermore, it is necessary to appropriately adjust the industrial structure and cooperate more to form a complete economic zone.

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“…However, few researchers have conducted systematic summaries and comparisons of the assessment results by Kriging interpolation and BP neural network and synthetically combined the two assessment methods to comprehensively and accurately reveal regional metal(loid) pollution conditions. The few who did only touched on theoretical introductions, e.g., Zhang made a qualitative description about the difference between Kriging interpolation and BP neural network methods merely based on the maps of the spatial distribution [ 22 , 23 , 24 ]. This study lacked a quantitative discussion on the differences between Kriging interpolation and BP neural network assessment and the comprehensive assessment, and could not fully show the advantages and disadvantages of the two methods.…”

Section: Introductionmentioning

confidence: 99%

Comparison Study on the Estimation of the Spatial Distribution of Regional Soil Metal(loid)s Pollution Based on Kriging Interpolation and BP Neural Network

Jia

Zhou

et al. 2017

IJERPH

Self Cite

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Soil pollution by metal(loid)s resulting from rapid economic development is a major concern. Accurately estimating the spatial distribution of soil metal(loid) pollution has great significance in preventing and controlling soil pollution. In this study, 126 topsoil samples were collected in Kunshan City and the geo-accumulation index was selected as a pollution index. We used Kriging interpolation and BP neural network methods to estimate the spatial distribution of arsenic (As) and cadmium (Cd) pollution in the study area. Additionally, we introduced a cross-validation method to measure the errors of the estimation results by the two interpolation methods and discussed the accuracy of the information contained in the estimation results. The conclusions are as follows: data distribution characteristics, spatial variability, and mean square errors (MSE) of the different methods showed large differences. Estimation results from BP neural network models have a higher accuracy, the MSE of As and Cd are 0.0661 and 0.1743, respectively. However, the interpolation results show significant skewed distribution, and spatial autocorrelation is strong. Using Kriging interpolation, the MSE of As and Cd are 0.0804 and 0.2983, respectively. The estimation results have poorer accuracy. Combining the two methods can improve the accuracy of the Kriging interpolation and more comprehensively represent the spatial distribution characteristics of metal(loid)s in regional soil. The study may provide a scientific basis and technical support for the regulation of soil metal(loid) pollution.

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Modeling and mapping of critical loads for heavy metals in Kunshan soil

Cited by 28 publications

References 23 publications

Human Health Risk Assessment of Toxic Elements in Farmland Topsoil with Source Identification in Jilin Province, China

Human Health Risk Assessment of Toxic Elements in Farmland Topsoil with Source Identification in Jilin Province, China

Spatial Characteristics, Health Risk Assessment and Sustainable Management of Heavy Metals and Metalloids in Soils from Central China

Comparison Study on the Estimation of the Spatial Distribution of Regional Soil Metal(loid)s Pollution Based on Kriging Interpolation and BP Neural Network

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