| 典型生态脆弱区水库周边大气降尘重金属风险评价及APCS-MLR模型溯源 |
| 摘要点击 2746 全文点击 933 投稿时间：2022-11-16 修订日期：2022-12-31 |
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| 中文关键词 大气降尘 重金属 风险评估 来源解析 APCS-MLR受体模型 |
| 英文关键词 atmospheric dust fall heavy metals risk assessment source analysis APCS-MLR receptor model |
| 作者 | 单位 | E-mail | | 石震宇 | 内蒙古农业大学水利与土木建筑工程学院, 呼和浩特 010018 | kyszy0809@163.com | | 卢俊平 | 内蒙古农业大学水利与土木建筑工程学院, 呼和浩特 010018
内蒙古自治区水资源保护与利用重点实验室, 呼和浩特 010018 | lujunping2008@163.com | | 刘廷玺 | 内蒙古农业大学水利与土木建筑工程学院, 呼和浩特 010018
内蒙古自治区水资源保护与利用重点实验室, 呼和浩特 010018 | | | 张晓晶 | 内蒙古农业大学水利与土木建筑工程学院, 呼和浩特 010018
内蒙古自治区水资源保护与利用重点实验室, 呼和浩特 010018 | | | 贾永芹 | 内蒙古农业大学水利与土木建筑工程学院, 呼和浩特 010018
内蒙古自治区水资源保护与利用重点实验室, 呼和浩特 010018 | | | 王怡 | 内蒙古农业大学水利与土木建筑工程学院, 呼和浩特 010018 | | | 刘莹慧 | 内蒙古农业大学水利与土木建筑工程学院, 呼和浩特 010018 | |
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| 中文摘要 |
| 为评估生态脆弱区大气中重金属的健康风险状况及污染来源，以锡林郭勒盟大河口水库周边为研究区，2021~2022年对布设的12个大气降尘监测点进行为期1a的采集工作，共收集到样品144份，测定Cr、Ni、Pb、Cu、Zn、Mn、As和Cd共8种重金属的含量，运用潜在生态指数（Eri）和健康风险评价模型评估大气中重金属对生态安全和人体健康的风险水平，利用富集因子分析法，主成分分析法及绝对主成分-多元线性回归（APCS-MLR）受体模型定性与定量地解析研究区大气重金属污染来源.结果表明：①研究区全年大气降尘重金属综合潜在生态风险均值属于强生态风险，各重金属元素中仅Cd元素处于极高风险程度，其余均为轻微风险.②健康风险评价结果表明，手口途径和皮肤接触途径摄入是引起非致癌风险和致癌风险的主要暴露途径，儿童在个别月份存在非致癌风险与可接受的致癌风险，其中As元素是非致癌风险与致癌风险的主要贡献来源.③通过富集因子分析、主成分分析和APCS-MLR受体模型计算表明：风沙扬尘源占比最大，为37.82%，煤炭燃烧与交通源对Cu、Cd、Pb和Zn的贡献率分别为：73.01%、40.22%、70.31%和32.82%；采矿活动对As贡献率为42.59%；工业源对Cd元素的贡献率为22.01%；人类其他活动源对Cd、As、Pb和Zn的贡献分别为：21.12%、34.40%、23.04%和32.15%. |
| 英文摘要 |
| To assess the health risk status and pollution sources of heavy metals in the atmosphere of ecologically vulnerable areas, the surrounding area of Dahekou Reservoir in Xilingol League was selected as the study area. From 2021 to 2022, 12 monitoring points for atmospheric dust fall were collected for a period of one year. A total of 144 samples were collected to determine the contents of eight types of heavy metals, namely Cr, Ni, Pb, Cu, Zn, Mn, As, and Cd. The potential ecological index (Eri) and health risk assessment model were used to assess the risk level of atmospheric heavy metals on ecological security and human health. The analysis of enrichment factors, principal components, and the model of absolute principal component multiple linear regression (APCS-MLR) receptor were used to analyze the sources of heavy metal pollution qualitatively in the atmosphere of the study area. The results showed that:① the mean value of the comprehensive potential ecological risk of heavy metals in the annual atmospheric dust fall in the study area was at a high ecological risk, and only the Cd value was at a very high risk level among the heavy metals, whereas the remaining were at a slight risk. ② The results of the health risk showed that intake by hand, mouth, and skin contact were the main exposure routes, which led to non-carcinogenic and carcinogenic risks. Children were under non-carcinogenic and acceptable carcinogenic risks in different months. During those months, the main source of the risks was As. ③ Through enrichment factor analysis, principal component analysis, and APCS-MLR receptor model calculation, the results revealed that the proportion of wind-blown sources was the largest, accounting for 37.82%, and the contribution rates of coal combustion and traffic sources to Cu, Cd, Pb, and Zn were 73.01%, 40.22%, 70.31%, and 32.82%, respectively. The contribution rate of mining activities to As was 42.59%, while that of industrial sources of Cd was 22.01%; the contributions of other human activity sources of Cd, As, Pb, and Zn were 21.12%, 34.40%, 23.04%, and 32.15%, respectively. |
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