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Open AccessDOI: 10.12030/j.cjee.202507021Original Research

Health Risk Assessment of Heavy Metals in Soil Around a Landfill Based on Monte Carlo Simulation

School of Chemistry and Environment, Yunnan Minzu University, Kunming 650504, China

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Health Risk Assessment of Heavy Metals in Soil Around a Landfill Based on Monte Carlo Simulation
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Published In
Chinese Journal of Environmental Engineering
Published:January 15, 2026Edition:Vol. 20, Issue 3 • pp. 100-112Citation:QIN Mengyuan et al. (2026), Chinese Journal of Environmental Engineering
Impact FactorPeer-Reviewed Core
Source Journal环境工程学报

Key Takeaways & Executive Findings

  • • • Pb, Ni, and Cd exceeded risk screening values at 4.26%, 6.38%, and 4.26% of sampling points, respectively, indicating localized contamination requiring targeted remediation. • • Geo-accumulation indices for all eight metals were below 0 (mean < 0), confirming overall clean soil, but Pb, Zn, Ni, Hg, and Cd showed slight pollution at specific points, necessitating hotspot management. • • Monte Carlo simulation quantified that children had a 0.2% probability of non-carcinogenic risk and a 3.21% probability of unacceptable carcinogenic risk, while adults had 0.64% probability of carcinogenic risk, with Ni as the main contributor, highlighting the need for child-specific protection measures. • • Sensitivity analysis identified skin adherence factor as highly sensitive for both adults and children, and As, Pb, and Ni as major contributors, guiding priority monitoring and risk mitigation strategies.

Abstract

The accumulation of heavy metals in soil around municipal solid waste landfills poses potential risks to human health. This study selected a municipal solid waste landfill and monitored the concentrations of eight heavy metals (Zn, Pb, Cd, Ni, Hg, Cu, As, Cr) in surrounding soil. The geo-accumulation index method was used for pollution assessment, and a health risk assessment model recommended by the USEPA, combined with Monte Carlo uncertainty analysis, was employed to evaluate the pollution status and health risks to nearby residents. Results showed that among the eight metals, Pb, Ni, and Cd exceeded risk screening values at 4.26%, 6.38%, and 4.26% of sampling points, respectively. Geo-accumulation indices indicated overall clean conditions (mean < 0), but slight pollution by Pb, Zn, Ni, Hg, and Cd at some points. Probabilistic risk assessment based on Monte Carlo simulation revealed that for both adults and children, the cumulative non-carcinogenic risk was negligible, while carcinogenic risk was acceptable. However, there was a very low probability (approximately 0.2%) of non-carcinogenic risk for children, and probabilities of unacceptable carcinogenic risk were 0.64% for adults and 3.21% for children. Nickel was the primary contributor to carcinogenic risk, and children faced higher health risks than adults. These findings provide a reference for pollution prevention and health risk management of soil around municipal solid waste landfills.

1. Introduction

Landfills remain a primary disposal route for municipal solid waste, yet their long-term operation often leads to leakage of leachate, contaminating surrounding soil and groundwater with heavy metals. These metals, including Zn, Pb, Cd, Ni, Hg, Cu, As, and Cr, can accumulate in crops and enter the human body via ingestion, dermal contact, and inhalation, posing chronic health risks such as neurological damage, carcinogenicity, and organ toxicity. Traditional deterministic health risk assessments, while widely used, fail to account for variability in exposure parameters and contaminant concentrations, often leading to over- or under-estimation of risks. This uncertainty hampers effective risk management and remediation prioritization.

To address this bottleneck, the present study integrates Monte Carlo simulation with the USEPA health risk model, enabling probabilistic risk characterization and sensitivity analysis. This approach captures the full distribution of potential risks, identifies key contributing metals and exposure pathways, and provides a more realistic basis for decision-making. By applying this methodology to a landfill site in Hainan, China, we quantify both carcinogenic and non-carcinogenic risks for adults and children, offering actionable insights for targeted pollution control and public health protection.

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Cite This Research Paper
QIN Mengyuan, HE Qiuping, CHEN Dan, MEN Ruixue, JIA Lijuan, MA Linzhuan (2026). Health Risk Assessment of Heavy Metals in Soil Around a Landfill Based on Monte Carlo Simulation. Chinese Journal of Environmental Engineering. https://doi.org/10.12030/j.cjee.202507021
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Frequently Asked Questions

What are the main exposure pathways and which one dominates for both adults and children?

The three exposure pathways are ingestion, dermal contact, and inhalation. For both adults and children, the order of contribution is ingestion > dermal contact > inhalation, as indicated by the risk assessment results.

Which heavy metal is the primary contributor to carcinogenic risk, and what is its exceedance rate?

Nickel (Ni) is the primary contributor to carcinogenic risk. Ni exceeded the risk screening value at 6.38% of sampling points, the highest among the metals that exceeded screening values.

How does the Monte Carlo simulation improve the health risk assessment compared to deterministic methods?

Monte Carlo simulation accounts for uncertainty and variability in exposure parameters and contaminant concentrations, providing a probability distribution of risk rather than a single point estimate. This allows for quantifying the likelihood of exceeding risk thresholds, such as the 0.64% and 3.21% probabilities for adults and children, respectively, for unacceptable carcinogenic risk.

What are the implications of the sensitivity analysis for risk management?

Sensitivity analysis identified skin adherence factor as highly sensitive for both adults and children, and As, Pb, and Ni as major contributors. This suggests that reducing dermal contact through protective measures and focusing monitoring and remediation efforts on these metals would be most effective in mitigating health risks.

Are there any limitations to the study that could affect the generalizability of the findings?

The study is site-specific, focusing on one landfill in Hainan, China. The risk estimates depend on local soil background values and exposure parameters, which may differ in other regions. Additionally, the analysis considers only eight heavy metals and does not account for potential synergistic effects or other contaminants. Therefore, extrapolation to other sites should be done with caution.

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