Human health ambient water quality criteria for 13 heavy metals and health risk assessment in Taihu Lake

被引:47
作者
Cui, Liang [1 ]
Li, Ji [1 ]
Gao, Xiangyun [1 ]
Tian, Biao [2 ]
Zhang, Jiawen [1 ]
Wang, Xiaonan [1 ]
Liu, Zhengtao [1 ]
机构
[1] Chinese Res Inst Environm Sci, State Key Lab Environm Criteria & Risk Assessment, Beijing 100012, Peoples R China
[2] Kunming Univ Sci & Technol, Fac Land & Resources Engn, Kunming 650093, Yunnan, Peoples R China
基金
中国国家自然科学基金;
关键词
Heavy metals; Human health ambient water quality criteria; Taihu Lake; Health risk assessment; Contribution rate; ECOLOGICAL RISK; YANGTZE-RIVER; SEDIMENTS; POLLUTION; TOXICITY; ELEMENTS; FISHES; BASIN;
D O I
10.1007/s11783-021-1475-6
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Heavy metals are widely concerning because of their toxicity, persistence, non-degradation and bioaccumulation ability. Human health ambient water quality criteria (AWQC) are specific levels of chemicals that can occur in water without harming human health. At present, most countries do not consider the effects of aquatic vegetables in deriving human health AWQC. Therefore, the intake of aquatic vegetables (Brasenia schreberi) was added to the derivation of human health AWQC and a health risk assessment for 13 heavy metals in Taihu Lake. The human health AWQC (consumption of water, fish and aquatic vegetables) values of 13 heavy metals ranged from 0.04 (Cd) to 710.87 mu g/L (Sn), and the intake of B. schreberi had a very significant effect on the human health AWQC for Cu, with a more than 62-fold difference. The hazard quotients of As (2.8), Cd (1.6), Cr (1.4) and Cu (4.86) were higher than the safe level (HQ = 1), indicating that As, Cd, Cr and Cu in Taihu Lake posed a significant health risk. Sensitivity analysis showed that the contribution rate of B. schreberi intake to the human health risk from Cu was 91.6%, and all results indicated that the risk of Cu in B. schreberi to human health should be of particular concern. This study adds the consideration of aquatic vegetable consumption to the traditional method of human health AWQC derivation and risk assessments for the first time, and this approach can promote the development of risk assessments and water quality criteria. (C) Higher Education Press 2021
引用
收藏
页数:11
相关论文
共 41 条
[1]  
[Anonymous], 2004, Risk Assessment Guidance for Superfund (RAGS): Part E
[2]   Assessment of arsenic concentration along a surface water flow path from Zarshuran gold mine to the downstream residential area [J].
Bakhshinezhad, Hadi ;
Bakhtavar, Ezzeddin ;
Afghan, Arash .
ENVIRONMENTAL EARTH SCIENCES, 2019, 78 (24)
[3]   Air Pollution Risk Assessment Using a Hybrid Fuzzy Intelligent Probability-Based Approach: Mine Blasting Dust Impacts [J].
Bakhtavar, Ezzeddin ;
Hosseini, Shahab ;
Hewage, Kasun ;
Sadiq, Rehan .
NATURAL RESOURCES RESEARCH, 2021, 30 (03) :2607-2627
[4]   Fuzzy cognitive maps in systems risk analysis: a comprehensive review [J].
Bakhtavar, Ezzeddin ;
Valipour, Mahsa ;
Yousefi, Samuel ;
Sadiq, Rehan ;
Hewage, Kasun .
COMPLEX & INTELLIGENT SYSTEMS, 2021, 7 (02) :621-637
[5]  
Cao WJ., 2016, STUDY WATER QUALITY
[6]   Heavymetals in food crops, soil, andwater in the Lihe River Watershed of the Taihu Region and their potential health risks when ingested [J].
Chen, Lian ;
Zhou, Shenglu ;
Shi, Yaxing ;
Wang, Chunhui ;
Li, Baojie ;
Li, Yan ;
Wu, Shaohua .
SCIENCE OF THE TOTAL ENVIRONMENT, 2018, 615 :141-149
[7]   Oryzias sinensis, a new model organism in the application of eco-toxicity and water quality criteria (WQC) [J].
Cui, Liang ;
Fan, Ming ;
Belanger, Scott ;
Li, Ji ;
Wang, Xiaonan ;
Fan, Bo ;
Li, Wenwen ;
Gao, Xiangyun ;
Chen, Jin ;
Liu, Zhengtao .
CHEMOSPHERE, 2020, 261
[8]   Risk and toxicity assessments of heavy metals in sediments and fishes from the Yangtze River and Taihu Lake, China [J].
Fu, Jie ;
Hu, Xin ;
Tao, Xiancong ;
Yu, Hongxia ;
Zhang, Xiaowei .
CHEMOSPHERE, 2013, 93 (09) :1887-1895
[9]   Heavy metal distribution and bioaccumulation ability in marine organisms from coastal regions of Hainan and Zhoushan, China [J].
Hao, Zhe ;
Chen, Lihong ;
Wang, Chenglong ;
Zou, Xinqing ;
Zheng, Fangqin ;
Feng, Weihua ;
Zhang, Dongrong ;
Peng, Ling .
CHEMOSPHERE, 2019, 226 :340-350
[10]   Heavy metals risk assessment in drinking water: An integrated probabilistic-fuzzy approach [J].
Hu, Guangji ;
Bakhtavar, Ezzeddin ;
Hewage, Kasun ;
Mohseni, Madjid ;
Sadiq, Rehan .
JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2019, 250