Spatio-temporal Variation and Probability Health Risk of Heavy Metals in Surface Water of Xiaolangdi Reservoir in the Yellow River

被引：0

作者：

Wang L. ^{[1
]}

Deng X.-J. ^{[2
]}

Wang X.-L. ^{[3
]}

Li M. ^{[3
]}

Liu Y.-Y. ^{[3
]}

Lou Y.-M. ^{[3
]}

Tu X. ^{[4
]}

Zhang K.-F. ^{[4
]}

机构：

[1] Jiyuan Ecological Environment Monitoring Center, Henan Province, Jiyuan

[2] China National Environmental Monitoring Centre, Beijing

[3] Henan Ecological Enviromment Monitoring & Safety Center, Henan Province, Zhengzhou

[4] Chinese Research Academy of Environmental Sciences, Beijing

来源：

Huanjing Kexue/Environmental Science | 2024年 / 45卷 / 04期

关键词：

heavy metals; interannual variation; nutrients; probabilistic risk; surface water; Xiaolangdi Reservoir;

D O I：

10.13227/j.hjkx.202305122

中图分类号：

学科分类号：

摘要：

Heavy metal pollution in the surface water of Xiaolangdi Reservoir is an important problem regarding water security in the Yellow River Basin in China. From 2014 to 2022，the spatio-temporal distribution of six heavy metals（Cu，Zn，Pb，As，Hg，and Cd）were investigated，and their pollution levels were evaluated by using the heavy metal pollution index（HPI），Nemerow index（NI），and contamination degree（CD）. The results showed that the pollution level of heavy metals in surface water was low（mean HPI = 18. 15），which met the national surface water quality threshold Ⅲ. The detection rates of the six heavy metals ranged from 91. 6% to 92. 9%，and the median concentration ranged from 0. 020（Hg）to 1. 850（As）µg·L−1. This showed that the concentration in the flood season was lower than that in the dry season，the concentration in the downstream section was higher，and it showed a downward trend over the past nine years. Heavy metal pollution in the water mainly came from industrial and agricultural production and human emissions. In addition，we found that TN，permanganate index，and NH+4-N were strongly correlated with the concentration of heavy metals（P < 0. 05），which indicated that the migration，transformation，adsorption，and sedimentation of heavy metals in the water might be affected by related factors. Sensitivity analysis showed that the metal concentration（with contribution rates of 56. 56%-92. 27%）was the main influencing factor of heavy metal probabilistic health risk assessment. In addition，although heavy metal exposure would not cause adverse effects on the human body，the actual risk may have been higher under extreme conditions. In summary，this study has potential application value for public health and environmental management. © 2024 Science Press. All rights reserved.

引用

页码：2054 / 2066

页数：12

共 53 条

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