Evaluating ecological risks and tracking potential factors influencing heavy metals in sediments in an urban river

被引:37
|
作者
Liu, Dongping [1 ]
Wang, Jian [1 ,2 ]
Yu, Huibin [1 ]
Gao, Hongjie [1 ]
Xu, Weining [1 ]
机构
[1] Chinese Res Inst Environm Sci, State Key Lab Environm Criteria & Risk Assessment, Beijing 100012, Peoples R China
[2] Tsinghua Univ, Sch Environm, State Key Joint Lab Environm Simulat & Pollut Con, Beijing 100084, Peoples R China
关键词
Heavy metals; Canonical correlation analysis; Principal component analysis; Potential ecological risk index; DISSOLVED ORGANIC-MATTER; SURFACE SEDIMENTS; FLUORESCENCE SPECTROSCOPY; GEOCHEMICAL SPECIATION; POLLUTION ASSESSMENT; TRACE-METALS; CONTAMINATION; WATER; BAY; LAKE;
D O I
10.1186/s12302-021-00487-x
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Background Heavy metal pollution of aquatic systems is a global issue that has received considerable attention. Canonical correlation analysis (CCA), principal component analysis (PCA), and potential ecological risk index (PERI) have been applied to heavy metal data to trace potential factors, identify regional differences, and evaluate ecological risks. Sediment cores of 200 cm in depth were taken using a drilling platform at 10 sampling sites along the Xihe River, an urban river located in western Shenyang City, China. Then they were divided into 10 layers (20 cm each layer). The concentrations of the As, Cd, Cr, Cu, Hg, Ni, Pb and Zn were measured for each layer. Eight heavy metals, namely Pb, Zn, As, Cd, Cr, Cu, Ni, and Hg, were measured for each layer in this study. Results The average concentrations of the As, Cd, Cu, Hg, and Zn were significantly higher than their background values in soils in the region, and mainly gathered at 0-120 cm in depth in the upstream, 0-60 cm in the midstream, and 0-20 cm downstream. This indicated that these heavy metals were derived from the upstream areas where a large quantity of effluents from the wastewater treatment plants enter the river. Ni, Pb, and Cr were close or slightly higher than their background values. The decreasing order of the average concentration of Cd was upstream > midstream > downstream, so were Cr, Cu, Ni and Zn. The highest concentration of As was midstream, followed by upstream and then downstream, which was different to Cd. The potential factors of heavy metal pollution were Cd, Cu, Hg, Zn, and As, especially Cd and Hg with the high ecological risks. The ecological risk levels of all heavy metals were much higher in the upstream than the midstream and downstream. Conclusions Industrial discharge was the dominant source for eight heavy metals in the surveyed area, and rural domestic sewage has a stronger influence on the Hg pollution than industrial pollutants. These findings indicate that effective management strategies for sewage discharge should be developed to protect the environmental quality of urban rivers.
引用
收藏
页数:13
相关论文
共 50 条
  • [1] Evaluating ecological risks and tracking potential factors influencing heavy metals in sediments in an urban river
    Dongping Liu
    Jian Wang
    Huibin Yu
    Hongjie Gao
    Weining Xu
    Environmental Sciences Europe, 2021, 33
  • [2] Nematode as a biomonitoring model for evaluating ecological risks of heavy metals in sediments from an urban river
    Kang, Yue
    Zheng, Shuhua
    Wan, Tianying
    Wang, Ling
    Yang, Qingqing
    Zhang, Jie
    ECOLOGICAL INDICATORS, 2023, 147
  • [3] Potential ecological risk of heavy metals in sediments from the Mediterranean coast, Egypt
    Soliman, Naglaa Farag
    Nasr, Samir Mahmoud
    Okbah, Mohamed Abdelaziz
    JOURNAL OF ENVIRONMENTAL HEALTH SCIENCE AND ENGINEERING, 2015, 13
  • [4] Potential ecological risk of heavy metals and metalloid in the sediments of Wuyuer River basin, Heilongjiang Province, China
    Cui, Jia
    Zang, Shuying
    Zhai, Danlei
    Wu, Bin
    ECOTOXICOLOGY, 2014, 23 (04) : 589 - 600
  • [5] Distribution, source identification, ecological and health risks of heavy metals in surface sediments of the Rupsa River, Bangladesh
    Proshad, Ram
    Kormoker, Tapos
    Islam, Saiful
    TOXIN REVIEWS, 2021, 40 (01) : 77 - 101
  • [6] Heavy metals in sediments of an urban river at the vicinity of tannery industries in Bangladesh: a preliminary study for ecological and human health risk
    Hoque, Mir Md Mozammal
    Sarker, Avilash
    Sarker, Md Eusuf
    Kabir, Md Humayun
    Ahmed, Farah Tasneem
    Yeasmin, Marjana
    Islamd, Md Saiful
    Idris, Abubakr M.
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL ANALYTICAL CHEMISTRY, 2023, 103 (19) : 7909 - 7927
  • [7] Accumulation and potential ecological risks of Heavy Metals in sediments from Rivers in the Beijing-Tianjin Area
    Yuan, Shengguang
    Zhang, Wenqiang
    Li, Wenye
    Li, Zhenhan
    Wu, Minshan
    Shan, Baoqing
    BULLETIN OF ENVIRONMENTAL CONTAMINATION AND TOXICOLOGY, 2022, 109 (05) : 691 - 697
  • [8] Source distribution, ecological risks, and controlling factors of heavy metals in river sediments: Receptor model-based study in a transboundary river basin
    Islam, Abu Reza Md Towfiqul
    Rabbi, Abu Hena Md Fazla
    Anik, Amit Hasan
    Khan, Rahat
    Al Masud, Md Abdullah
    Nedjoud, Grara
    Idris, Abubakr M.
    Rahman, Md Naimur
    Senapathi, Venkatramanan
    INTERNATIONAL JOURNAL OF SEDIMENT RESEARCH, 2025, 40 (01) : 45 - 61
  • [9] Distribution, Ecological Risk Assessment, and Source Identification of Heavy Metals in River Sediments from Hai River and Its Tributaries, Tianjin, China
    Kang, Mengxin
    Tian, Yimei
    Zhang, Haiya
    Lan, Qian
    WATER AIR AND SOIL POLLUTION, 2020, 231 (02)
  • [10] Comparison of heavy metals in riverine and estuarine sediments in the lower Yangtze River: Distribution, sources, and ecological risks
    Liu, Peng
    Wu, Qiumei
    Hu, Wenyou
    Tian, Kang
    Huang, Biao
    Zhao, Yongcun
    ENVIRONMENTAL TECHNOLOGY & INNOVATION, 2023, 30