废弃铅酸蓄电池回收场土壤特定来源风险的蒙特卡洛模拟

IF 3.9 3区 环境科学与生态学 Q1 ENGINEERING, CIVIL Stochastic Environmental Research and Risk Assessment Pub Date : 2024-05-27 DOI:10.1007/s00477-024-02747-7
Andrijana Miletić, Jelena Vesković, Milica Lučić, Antonije Onjia
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引用次数: 0

摘要

人类活动主要影响环境铅污染,尤其是在废弃铅酸蓄电池(LAB)回收作业期间。本研究调查了铅和其他九种潜在有毒元素(PTEs)在废弃铅酸蓄电池回收场地土壤中的存在情况。重点是空间和垂直分布以及与 PTEs 相关的潜在健康问题。镉、砷、汞、铅、铝、锌、铜和锑的平均浓度在所有调查的土壤深度都有所升高,而锌、铜和锑的浓度仅在土壤表层显著。正矩阵因式分解、相关性和聚类分析以及自组织图确定了四个主要污染源:回收活动(镉、汞、铅和锑)、混合人为污染源(锌和铜)、土壤母质(砷、铬和镍)以及地表径流和施沙(铝和 pH 值)。非致癌风险结果显示,成人的风险可以忽略不计,但在 26% 的样本中,儿童的危害指数 (HI) 值大于 1。对于成人和儿童来说,分别有 98% 和 94% 的样本的总致癌风险 (TCR) 值是可以接受的。地理空间分析确定了电池弃置区的主要热点。特定来源的非致癌风险和致癌风险受回收活动的影响最大。儿童总 HI 的蒙特卡罗模拟(MCS)显示,风险值在第 10 百分位数时超过了阈值水平(HI > 1),而成人总 HI 的最大值为 0.2。在致癌风险方面,成人和儿童所有四个来源的第 95 百分位数的 TCR 值均低于极限值(1 × 10-4),表明癌症发生的概率较低。
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Monte Carlo simulation of source-specific risks of soil at an abandoned lead-acid battery recycling site

Anthropogenic activities predominantly affect environmental Pb pollution, especially during waste lead-acid battery (LAB) recycling operations. In this study, the presence of Pb and nine other potentially toxic elements (PTEs) in the soil at an abandoned LAB recycling site was investigated. The focus was on spatial and vertical distributions and potential health issues related to PTEs. Average concentrations of Cd, As, Hg, Pb, Al, Zn, Cu, and Sb were elevated at all investigated soil depths, whereas the concentrations of Zn, Cu, and Sb were significant only on the soil surface. Positive matrix factorization, correlation and cluster analyses, as well as self-organizing maps, identified four primary pollution sources: recycling activities (Cd, Hg, Pb, and Sb), mixed anthropogenic sources (Zn and Cu), the soil parent material (As, Cr, and Ni), and surface runoff combined with sand application (Al and pH). While the non-carcinogenic risk results revealed a negligible risk for adults, the hazard index (HI) values for children were greater than one in 26% of the samples. For adults and children, the total carcinogenic risk (TCR) values were acceptable for 98% and 94% of the samples, respectively. Geospatial analysis identified the main hotspot in the battery disposal area. Source-specific non-carcinogenic and carcinogenic risks were most influenced by recycling activities. Monte Carlo simulation (MCS) of total HI for children showed that the risk value exceeded the threshold level (HI > 1) at the 10th percentile, whereas the maximum value of total HI for adults was 0.2. Regarding carcinogenic risk, the TCR values at the 95th percentile of all four sources for adults and children were below the limit value (1 × 10−4), indicating a low probability of cancer development.

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来源期刊
CiteScore
7.10
自引率
9.50%
发文量
189
审稿时长
3.8 months
期刊介绍: Stochastic Environmental Research and Risk Assessment (SERRA) will publish research papers, reviews and technical notes on stochastic and probabilistic approaches to environmental sciences and engineering, including interactions of earth and atmospheric environments with people and ecosystems. The basic idea is to bring together research papers on stochastic modelling in various fields of environmental sciences and to provide an interdisciplinary forum for the exchange of ideas, for communicating on issues that cut across disciplinary barriers, and for the dissemination of stochastic techniques used in different fields to the community of interested researchers. Original contributions will be considered dealing with modelling (theoretical and computational), measurements and instrumentation in one or more of the following topical areas: - Spatiotemporal analysis and mapping of natural processes. - Enviroinformatics. - Environmental risk assessment, reliability analysis and decision making. - Surface and subsurface hydrology and hydraulics. - Multiphase porous media domains and contaminant transport modelling. - Hazardous waste site characterization. - Stochastic turbulence and random hydrodynamic fields. - Chaotic and fractal systems. - Random waves and seafloor morphology. - Stochastic atmospheric and climate processes. - Air pollution and quality assessment research. - Modern geostatistics. - Mechanisms of pollutant formation, emission, exposure and absorption. - Physical, chemical and biological analysis of human exposure from single and multiple media and routes; control and protection. - Bioinformatics. - Probabilistic methods in ecology and population biology. - Epidemiological investigations. - Models using stochastic differential equations stochastic or partial differential equations. - Hazardous waste site characterization.
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