Distribution and Assessment of Heavy Metals in the Overlying Water-Sediment-Plant-Fish System in the Wuliangsuhai Lake by Using Inductively Coupled Plasma Mass Spectrometry
LIANG Piao-piao1, XING Yun-xin1, WEI Chun-li1, LI Yuan-yuan1, LIU Yi-ming1, HU Yu1, LIU Ying1,2*
1. College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China
2. Beijing Engineering Research Center of Food Environment and Public Health, Minzu University of China, Beijing 100081, China
Abstract:Heavy metal (HM) contamination has become a widespread global problem and posed threat to the aquatic environment due to their toxicity, persistence and bioenrichment in the food chain. In this study, overlying water, sediment, Potamogeton pectinatus L. (P. pectinatus), Phragmites australis (P. australis), and four types of fish in Wuliangsuhai Lake, China, were analyzed for HMs. The Inductively Coupled Plasma Mass Spectrometry (ICP-MS) was used to determine the contents of HMs in collected samples in order to investigate their spatial distribution, enrichment characteristic, risk assessment and the possible sources. The results showed that: (1) The mean levels of Cr, Ni, Cu, Mn, Pb and Zn mainly followed an order of sediment>P. pectinatus (submerged plants)>P. australis (emergent plants)>fishes>overlying water, but for As, the concentration in overlying water was higher than that in P. australis and fishes. The content of Cd, in P. australis was almost 50 times higher than that in normal plants and in fish was 3.3 times higher than the permissible threshold standards in China, leading to potential hazards to fish and human health via food chain bioaccumulation. (2) In sediment As and Cd experienced moderately severe enrichment. For P. pectinatus, the higher bioconcentration factor (BCF) and the lower biota-sediment accumulation factor (BASF) indicated that this species was more likely to accumulate HMs from overlying water and could remove HMs from Wuliangsuhai Lake as a hyperaccumulator. (3) In sediment, the Eri and RI values suggested that Cd posed a considerable high ecological risk and a very high risk to the surroundings. Because of the high HM contamination levels in the northwest part of the lake, the inlet and outlet of the lake were identified as priority regions for metal pollution monitoring and management. (4) The results of source identification indicated that Zn and Cd were derived from mining and industrial wastewater, while As was related to nonpoint source pollution from agriculture. These results will provide important information for improving the aquatic environment, minimizing the potential risks posed by the HMs pollution in Wuliangsuhai Lake and managing the water quality of the Yellow River.
Key words:Heavy metals; Enrichment factors; Risk assessment; The Wuliangsuhai Lake; Inductively coupled plasma mass spectrometry
基金资助: The National Natural Science Foundation of China (21177163), 111Project B08044, Special Guidance Fund of Building World First-class Universities (Disciplines) and Characteristic Development of Minzu University of China (2018, 10301-018004032001), Special Guidance Fund of Building World First-class Universities (Disciplines) and Characteristic Development for the Central Universities (2018, Master, No: 182116), Undergraduate Scientific Research and Training Program of Minzu University of China (BEIJ2017110032)
通讯作者:
刘 颖
E-mail: liuying4300@163.com
作者简介: LIANG Piao-piao, (1994—), Master of College of Life and Environmental Sciences, Minzu University of China
e-mail:liangpiao19941026@163.com
引用本文:
梁飘飘,幸韵欣,魏春丽,李媛媛,刘一鸣,胡 钰,刘 颖. 电感耦合等离子体质谱法研究乌梁素海上覆水-沉积物-植物-鱼体系中重金属的分布和评价[J]. 光谱学与光谱分析, 2019, 39(02): 652-658.
LIANG Piao-piao, XING Yun-xin, WEI Chun-li, LI Yuan-yuan, LIU Yi-ming, HU Yu, LIU Ying. Distribution and Assessment of Heavy Metals in the Overlying Water-Sediment-Plant-Fish System in the Wuliangsuhai Lake by Using Inductively Coupled Plasma Mass Spectrometry. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2019, 39(02): 652-658.
[1] Ahmed M K, Shaheen N, Islam M S, et al. Chemosphere, 2015, 128: 284.
[2] Tian Mengjing, Ma Xiaoling, Jia Jia, et al. Spectroscopy and Spectral Analysis, 2017, 37(5): 1628.
[3] Birch G F, Apostolatos C. Environ. Sci. Pollut. Res., 2013, 20: 5481.
[4] Weis J S, Weis P. Environ. Int., 2004, 30: 685.
[5] Peng K, Luo C, Lou L, et al. Sci. Total Environ., 2008, 392: 22.
[6] Liu P, Wang J, Qi W, et al. J. Nanomaterials, 2013, 2013: 3559.
[7] Wang X, Yang H, Cai Y, et al. Stoch. Environ. Res. Risk A, 2016, 30: 137.
[8] Wang J, Liu G, Lu L, et al. Catena, 2015, 129:30.
[9] Ju Y R, Chen C W, Chen C F, et al. Int. Biodeter Biodegr., 2017, 124: 314.
[10] Zhang J, Deng H, Wang D, et al. Environ. Sci. Pollut. Res., 2013, 20: 323.
[11] He H, Tam N, Yao A, et al. Chemosphere, 2017, 189: 247.
[12] Guo R, He X. Environ. Earth Sci., 2013, 70: 1083.
[13] Gupta S, Nayek S, Saha R N. Res. J. Chem. Environ., 2013, 17: 26.
[14] Huang X F, Qin F X, Hu J W. Res. Environ. Sci., 2008, 21: 18.