An integrated method of health risk assessment based on spatial interpolation and source apportionment

Duan, Yaxiao; Zhang, Yimei; Li, Shuai; Fang, Qinglu; Miao, Fangfang; Lin, Qianguo

doi:10.1016/j.jclepro.2020.123218

Cited by 56 publications

(16 citation statements)

References 40 publications

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“…Data for 2000–2018 are from Zeng et al ( 14 ). Data for 2019–2020 are compiled from Ali et al ( 35 ), Chai et al ( 36 ), Chen et al ( 37 ), Guan et al ( 38 ), Guo et al ( 39 ), Han et al ( 40 ), Hou et al ( 41 ), Hu et al ( 42 ), Huang et al ( 43 ), Jiang and Guo ( 44 ), Jin et al ( 45 ), Jin et al ( 46 ), Lu et al ( 47 ), Lv and Sun ( 48 ), Song et al ( 49 ), Wang et al ( 50 ), Wu et al ( 51 ), Xiao et al ( 52 ), Yang et al ( 53 ), Zhao et al ( 54 ), Zhou et al ( 55 ), Bao et al ( 56 ), Cao et al ( 57 ), Chai et al ( 58 ), Cheng ( 59 ), Duan et al ( 60 ), Guo et al ( 61 ), He et al ( 62 ), Hu et al ( 63 ), Ji et al ( 64 ), Kuerban et al ( 65 ), Li et al ( 66 ), Ma et al ( 67 ), Miao et al ( 68 ), Peng et al ( 69 ), Shi et al ( 70 ), Su and Yang ( 71 ), Sun et al ( 72 ), Tan et al ( 73 ), Tang et al ( 74 ), Wei et al ( 75 ), Xiao et al ( 76 ), Zhang et al ( 77 ), Zhang et al ( 78 ), Zhao et al ( 79 ), Zhuang et al ( 80 ).…”

Section: The Impact Of Pollution On Food Safety In Chinamentioning

confidence: 99%

Pollution-Induced Food Safety Problem in China: Trends and Policies

Zhu

Lei

et al. 2021

Front. Nutr.

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Based on systematic literature study and policy document analysis, this paper investigates the environmental pollution-induced food safety problem in China, including the impact of environmental pollution on food safety and the policy response of Chinese government since 1970's. The results show that, to different degrees, food safety of China is affected by large but inefficient chemical fertilizer and pesticides residue (although the consumption began to decline after around 2015), cropland heavy metal pollution (especially cadmium), water pollution, and high ozone concentration. The evolution of pollution-induced food safety policies of China can be divided into four stages, i.e., preparation stage (1974–1994), construction stage (1995–2005), elaboration stage (2006–2013), and intensification stage (2014–). Through the four stages, the increasingly stringent policy system has been featured by “from supply-safety balance to safety first,” “from multi-agency management to integrated management,” and “from ex post supervision to ex ante risk control.” To further prevent pollution and control food quality, more collaborations between the agricultural and environmental agencies and more specific policies should be anticipated.

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Section: The Impact Of Pollution On Food Safety In Chinamentioning

confidence: 99%

Pollution-Induced Food Safety Problem in China: Trends and Policies

Zhu

Lei

et al. 2021

Front. Nutr.

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“…Where, the Cx t represented concentration of the t compound at the sampling point x; gxy represented contribution rate of the yth source at the sampling point x; fy t was the mass fraction of the yth source at the metal t; ex t was the deviation of the metal t at sample point x; Objective function Q was defined by Eq. (2) (Duan et al, 2020).…”

Section: Positive Matrix Factorizationmentioning

confidence: 99%

Source Apportionment and Health Risk Assessment of Zn (II) Ions Based on Gridded Spatial Interpolation and Geochemical Equilibrium Simulation

Miao

Zhang

et al. 2021

Preprint

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Soil heavy metal pollution had become a global issue involving environmental safety and human health risks. A methodology was explored to quantify the sources of heavy metals in the soils and investigate the spatial distributions of heavy metals by the gridded spatial scale. The case study was implemented in the industrial waste sites in Suzhou city, Jiangsu province. Zinc (Zn) was screened out as the targeted metal (TM) through the potential ecological risk assessment, the species of which was simulated by the geochemical software PHREEQC. The aim of this research was to determine the dominant metal species of TM with potential hazardous health risk to local people to achieve key prevention and pollution control. Herein, according to the morphological evolution of metal species, the activity and concentration of the Zn species was calculated for both carcinogenic and non-carcinogenic health risk assessment. The evaluation of the optimized human health risk demonstrated that the associated health risk of Zn (II) depended predominantly on its metal speciation and was also affected by acidity and soil organic matter. Overall, the optimized carcinogenic and non-carcinogenic risk value of Zn2S32− for adults was 2.01E-04 and for children was 1.31 respectively, resulting in corresponding hazardous risk to human, which accounted for high risk level of 61.5% and 58.5%, respectively. This method could provide a reference for the decision-making of soil heavy metal pollution control and targeted hypotoxic convertion of metal species and remediation for certain heavy metal of polluted area.

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“…Multiple methods are applied to qualitatively investigate metal source apportionment, which include correlation analysis, principal component analysis and regression (Yang et al, 2019;Zhao, et al, 2019). For example, Fei et al (2019) employed a synthesis model using Bayesian Maximum Entropy theory and Geographically Weighted Regression to determine that Cd contamination in Shanghai soils was mainly derived from agricultural activities while Cr originated from natural sources; Principal component analysis-multiple linear regression extracted 4 factors for soil heavy metals in a electroplate factory area (Duan et al, 2020). These methods can capture common characteristics of potential sources; however, they cannot specifically quantify contributions originating from different sources.…”

Section: Introductionmentioning

confidence: 99%

“…Positive matrix factorization (PMF), a typical quantitative receptor model, has distinct advantage of non-negative constraint in identifying source categories and apportioning corresponding contributions for priority contaminants and remediation strategies (Yang et al, 2019), which has been widely applied for source apportionment of metal contamination in the atmosphere, sediment and soil (Jorquera & Barraza, 2013;Wang et al, 2020;Lv, 2019). contamination prevention For example, a modified PMF approach was used for source apportionment of metals in agricultural soil in Tianjin (China) where it identified irrigation and atmospheric deposition as the two main pollution sources having contributions of 26.6% and 19.6%, respectively (Wu et al, 2020); Duan et al (2020) showed better prediction of soil heavy metals by PMF model than that of principal component analysis-multiple linear regression (PCA-MLR) due to mathematical constraints in PCA-MLR method. Previous studies have addressed source apportionment and quantify contributions from various sources; however, few have attempted to evaluate contributions for related risks when carrying out metal source apportionment using receptor models like PMF, especially for integrated estimation for a link between source apportionment and risk assessment.…”

Section: Introductionmentioning

confidence: 99%

Integrated source-risk and uncertainty assessment for metals contamination in sediments of an urban river system in eastern China

Xia

Niu²,

et al. 2021

CATENA

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Integrated source apportionment and risk assessment of metals is of great importance for contamination source control and remediation at the regional watershed scale. To identify metal sources and source-specific ecological risks, sediments were collected in the Wen-Rui Tang urban watershed for metal analysis. Risk assessment showed considerable and extremely high risk for Cu and Cd with large spatial variation. Positive matrix factorization model extracted three main sources with reasonable prediction efficacy for metal concentrations. Due to different toxicity coefficients for various metals, the low concentration contribution of source factor 2 (27.2%) contributed 83.7% of total risk, while a high concentration loading for factor 3 (40.8%) only contributed 4.6% to total risk. Predicted source-specific risk was similar to determined risk level for Cr, Ni and Pb; however, Cu and Cd were predicted with decreased risk, while Zn had increased risk. Triangular fuzzy number (TFN) coupled with stochastic simulation showed elevated trend in risk simulation for Cd and Cu when compared with determined risk. The uncertainties for risk evaluation appear to result from spatial variations in metal concentrations. Source apportionment and specific-risk assessment results suggest that different strategies may be required to address mitigation of elevated metal concentrations versus ecological risk.

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An integrated method of health risk assessment based on spatial interpolation and source apportionment

Cited by 56 publications

References 40 publications

Pollution-Induced Food Safety Problem in China: Trends and Policies

Pollution-Induced Food Safety Problem in China: Trends and Policies

Source Apportionment and Health Risk Assessment of Zn (II) Ions Based on Gridded Spatial Interpolation and Geochemical Equilibrium Simulation

Integrated source-risk and uncertainty assessment for metals contamination in sediments of an urban river system in eastern China

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