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化学事故致危险化学品多介质暴露健康风险评估方法研究进展

Development on Health Risk Assessment Method for Multi-Media Exposure of Hazardous Chemical by Chemical Accident.

机构信息

Department of Nano and Biological Engineering, Seo-Kyeong University, 124, Seogyeong-ro, Seongbuk-gu, Seoul 02713, Korea.

Department of Chemical and Biological Engineering, Seo-Kyeong University, 124, Seogyeong-ro, Seongbuk-gu, Seoul 02713, Korea.

出版信息

Int J Environ Res Public Health. 2020 May 13;17(10):3385. doi: 10.3390/ijerph17103385.

DOI:10.3390/ijerph17103385
PMID:32414009
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7277139/
Abstract

In this study, a long-term health risk assessment was conducted for complex, multimedia exposure where the exposure duration was set for the leak of a hazardous chemical spilled after an accident. The study designed a virtual chemical accident scenario where 40 tons of benzyl chloride leaked in a factory inside the Ulsan Petrochemical Industrial Complex for one hour on 1 January 2017. Using a multimedia environmental dynamics model, benzyl chloride concentrations in air and soil were estimated. The time when the atmospheric concentration was less than or equal to the background concentration was recorded as the end point. An assessment of the cancer risk via soil ingestion was carried out after dividing the subjects into four age groups (0-9 years; 10-18 years; 19-65 years; >65 years). All age groups showed an increased cancer risk where the values exceeded 1.0 × 10. The 0-9 years age group showed the largest distribution (4.27% of the total area) with the highest maximum and mean values. The distribution maps for all age groups exhibited a trend towards the southeast of the accident site.

摘要

在这项研究中,对复杂的多媒体暴露进行了长期健康风险评估,暴露持续时间设定为事故后泄漏的危险化学品泄漏的持续时间。该研究设计了一个虚拟的化学事故场景,其中 2017 年 1 月 1 日,40 吨氯化苄在蔚山石化工业园区内的一家工厂中泄漏了一个小时。使用多媒体环境动力学模型,估计了空气中和土壤中的氯化苄浓度。当大气浓度等于或低于背景浓度的时间被记录为终点。在将研究对象分为四个年龄组(0-9 岁;10-18 岁;19-65 岁;>65 岁)后,通过土壤摄入进行了癌症风险评估。所有年龄组的癌症风险都有所增加,值超过了 1.0×10。0-9 岁年龄组的分布最大(占总面积的 4.27%),最高值和平均值最高。所有年龄组的分布图都显示出朝着事故地点东南方向的趋势。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1612/7277139/88470d1f382c/ijerph-17-03385-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1612/7277139/0590d576f3af/ijerph-17-03385-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1612/7277139/b19c775a4364/ijerph-17-03385-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1612/7277139/6a9661cb74a8/ijerph-17-03385-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1612/7277139/340e4f55524a/ijerph-17-03385-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1612/7277139/88470d1f382c/ijerph-17-03385-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1612/7277139/0590d576f3af/ijerph-17-03385-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1612/7277139/b19c775a4364/ijerph-17-03385-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1612/7277139/6a9661cb74a8/ijerph-17-03385-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1612/7277139/340e4f55524a/ijerph-17-03385-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1612/7277139/88470d1f382c/ijerph-17-03385-g005.jpg

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