| Understanding the time-activity pattern to improve the measurement of personal exposure: An exploratory and experimental research | |
| Li, Zhenglei1,2; Ding, Yan3; Wang, Danlu1; Kang, Ning2; Tao, Yan2; Zhao, Xiuge1; Zhang, Bin4; Zhang, Zuming4 | |
| 2023-10-01 | |
| Online publication date | 2023-07 |
| Source Publication | ENVIRONMENTAL POLLUTION Impact Factor & Quartile |
| ISSN | 0269-7491 |
| Volume | 334 |
| page numbers | 12 |
| Abstract | Although ambient fine particulate matter (PM2.5) concentrations and their components are commonly used as proxies for personal exposure monitoring, developing an accurate and cost-effective method to use these proxies for personal exposure measurement continues to pose a significant challenge. Herein, we propose a scenario-based exposure model to precisely estimate personal exposure level of heavy metal(loid)s (HMs) using scenario HMs concentrations and time-activity patterns. Personal exposure levels and ambient pollution levels for PM2.5 and HMs differed significantly with corresponding personal/ambient ratios of approximately 2, and exposure scenarios could narrow the assessment error gap by 26.1–45.4%. Using a scenario-based exposure model, we assessed the associated health risks of a large sample population and identified that the carcinogenic risk of As exceeded 1 × 10−6, while we observed non-carcinogenic risks from As, Cd, Ni, and Mn in personal exposure to PM2.5. We conclude that the scenario-based exposure model is a preferential alternative for monitoring personal exposure compared to ambient concentrations. This method ensures the feasibility of personal exposure monitoring and health risk assessments in large-scale studies. © 2023 Elsevier Ltd |
| Keyword | Cost effectiveness Exposure controls Heavy metals Risk assessment Risk perception Ambients Exposure level Exposure models Exposure scenario Personal exposure monitoring Personal exposures PM 2.5 Scenario-based Scenario-based exposure Time activity patterns |
| Publisher | Elsevier Ltd |
| DOI | 10.1016/j.envpol.2023.122131 |
| Indexed By | EI ; SCIE |
| Language | 英语 |
| WOS Research Area | Environmental Sciences & Ecology |
| WOS Subject | Environmental Sciences |
| WOS ID | WOS:001037211300001 |
| EI Accession Number | 20233014428645 |
| EI Keywords | Health risks |
| EI Classification Number | 461.7 Health Care ; 531 Metallurgy and Metallography ; 742.1 Photography ; 911.2 Industrial Economics ; 914.1 Accidents and Accident Prevention |
| Original Document Type | Journal article (JA) |
| PMID | 37429486 |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | https://ir.lzu.edu.cn/handle/262010/532348 |
| Collection | 兰州大学 |
| Corresponding Author | Zhao, Xiuge |
| Affiliation | 1.State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing; 100012, China; 2.Key Laboratory for Environmental Pollution Prediction and Control, College of Earth and Environmental Sciences, Lanzhou University, Gansu Province, Lanzhou; 730000, China; 3.Vehicle Emission Control Center of Ministry of Ecology and Environment, Chinese Research Academy of Environmental Sciences, Beijing; 100012, China; 4.Tianjin Binhai New Area Eco-environmental Monitoring Center, Tianjin; 300457, China |
| First Author Affilication | Lanzhou University |
| Recommended Citation GB/T 7714 | Li, Zhenglei,Ding, Yan,Wang, Danlu,et al. Understanding the time-activity pattern to improve the measurement of personal exposure: An exploratory and experimental research[J]. ENVIRONMENTAL POLLUTION,2023,334. |
| APA | Li, Zhenglei.,Ding, Yan.,Wang, Danlu.,Kang, Ning.,Tao, Yan.,...&Zhang, Zuming.(2023).Understanding the time-activity pattern to improve the measurement of personal exposure: An exploratory and experimental research.ENVIRONMENTAL POLLUTION,334. |
| MLA | Li, Zhenglei,et al."Understanding the time-activity pattern to improve the measurement of personal exposure: An exploratory and experimental research".ENVIRONMENTAL POLLUTION 334(2023). |
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