Exploring the environmental risks and seasonal variations of potentially toxic elements (PTEs) in fine road dust in resource-based cities based on Monte Carlo simulation, geo-detector and random forest model
文献类型:期刊论文
作者 | Yang, Yufan3; Lu, Xinwei3; Yu, Bo3; Wang, Zhenze3; Wang, Lingqing2; Lei, Kai1; Zuo, Ling3; Fan, Peng3; Liang, Tao2 |
刊名 | JOURNAL OF HAZARDOUS MATERIALS
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出版日期 | 2024-07-15 |
卷号 | 473页码:134708 |
关键词 | Potentially toxic element Ecological-health risk Monte Carlo simulation geo-detector Random forest |
DOI | 10.1016/j.jhazmat.2024.134708 |
产权排序 | 2 |
文献子类 | Article |
英文摘要 | The environmental pollution caused by mineral exploitation and energy consumption poses a serious threat to ecological security and human health, particularly in resource-based cities. To address this issue, a comprehensive investigation was conducted on potentially toxic elements (PTEs) in road dust from different seasons to assess the environmental risks and influencing factors faced by Datong City. Multivariate statistical analysis and absolute principal component score were employed for source identification and quantitative allocation. The geo-accumulation index and improved Nemerow index were utilized to evaluate the pollution levels of PTEs. Monte Carlo simulation was employed to assess the ecological-health risks associated with PTEs content and source orientation. Furthermore, geo-detector and random forest analysis were conducted to examine the key environmental variables and driving factors contributing to the spatiotemporal variation in PTEs content. In all PTEs, Cd, Hg, and Zn exhibited higher levels of content, with an average content/background value of 3.65 to 4.91, 2.53 to 3.34, and 2.15 to 2.89 times, respectively. Seasonal disparities were evident in PTEs contents, with average levels generally showing a pattern of spring (winter) > summer (autumn). PTEs in fine road dust (FRD) were primarily influenced by traffic, natural factors, coal-related industrial activities, and metallurgical activities, contributing 14.9-33.9 %, 41.4-47.5 %, 4.4-8.3 %, and 14.2-29.4 % to the total contents, respectively. The overall pollution and ecological risk of PTEs were categorized as moderate and high, respectively, with the winter season exhibiting the most severe conditions, primarily driven by Hg emissions from coal-related industries. Non-carcinogenic risk of PTEs for adults was within the safe limit, yet children still faced a probability of 4.1 %-16.4 % of unacceptable risks, particularly in summer. Carcinogenic risks were evident across all demographics, with children at the highest risk, mainly due to Cr and smelting industrial sources. Geo-detector and random forest model indicated that spatial disparities in prioritized control elements (Cr and Hg) were primarily influenced by particulate matter (PM10) and anthropogenic activities (industrial and socio-economic factors); variations in particulate matter (PM10 and PM2.5) and meteorological factors (wind speed and precipitation) were the primary controllers of seasonal disparities of Cr and Hg. |
WOS关键词 | POLYCYCLIC AROMATIC-HYDROCARBONS ; HEAVY-METALS ; SOURCE APPORTIONMENT ; HEALTH-RISK ; SPATIAL-DISTRIBUTION ; ECOLOGICAL RISK ; POLLUTION CHARACTERISTICS ; SOURCE IDENTIFICATION ; INTEGRATED APPROACH ; AGRICULTURAL SOILS |
WOS研究方向 | Engineering ; Environmental Sciences & Ecology |
WOS记录号 | WOS:001247519500001 |
出版者 | ELSEVIER |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/205357] ![]() |
专题 | 陆地表层格局与模拟院重点实验室_外文论文 |
通讯作者 | Lu, Xinwei; Wang, Lingqing |
作者单位 | 1.Xian Univ, Sch Biol & Environm Engn, Xian 710065, Peoples R China 2.Chinese Acad Sci, Key Lab Land Surface Pattern & Simulat, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 3.Shaanxi Normal Univ, Sch Geog & Tourism, Dept Environm Sci, Xian 710119, Peoples R China |
推荐引用方式 GB/T 7714 | Yang, Yufan,Lu, Xinwei,Yu, Bo,et al. Exploring the environmental risks and seasonal variations of potentially toxic elements (PTEs) in fine road dust in resource-based cities based on Monte Carlo simulation, geo-detector and random forest model[J]. JOURNAL OF HAZARDOUS MATERIALS,2024,473:134708. |
APA | Yang, Yufan.,Lu, Xinwei.,Yu, Bo.,Wang, Zhenze.,Wang, Lingqing.,...&Liang, Tao.(2024).Exploring the environmental risks and seasonal variations of potentially toxic elements (PTEs) in fine road dust in resource-based cities based on Monte Carlo simulation, geo-detector and random forest model.JOURNAL OF HAZARDOUS MATERIALS,473,134708. |
MLA | Yang, Yufan,et al."Exploring the environmental risks and seasonal variations of potentially toxic elements (PTEs) in fine road dust in resource-based cities based on Monte Carlo simulation, geo-detector and random forest model".JOURNAL OF HAZARDOUS MATERIALS 473(2024):134708. |
入库方式: OAI收割
来源:地理科学与资源研究所
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