Global evaluation of heavy metal content in surface water bodies: A meta-analysis using heavy metal pollution indices and multivariate statistical analyses

被引:559
|
作者
Kumar, Vinod [1 ]
Parihar, Ripu Daman [2 ]
Sharma, Anket [3 ]
Bakshi, Palak [4 ]
Sidhu, Gagan Preet Singh [5 ]
Bali, Aditi Shreeya [6 ]
Karaouzas, Loannis [7 ]
Bhardwaj, Renu [4 ]
Thukral, Ashwani Kumar [4 ]
Gyasi-Agyei, Yeboah [8 ]
Rodrigo-Comino, Jesus [9 ,10 ]
机构
[1] DAV Univ, Dept Bot, Jalandhar 144012, Punjab, India
[2] DAV Univ, Dept Zool, Jalandhar 144012, Punjab, India
[3] Zhejiang A&F Univ, State Key Lab Subtrop Silviculture, Hangzhou 311300, Zhejiang, Peoples R China
[4] Guru Nanak Dev Univ, Dept Bot & Environm Sci, Amritsar 143005, Punjab, India
[5] Govt Coll Commerce & Business Adm, Dept Environm Studies, Sect 50, Chandigarh 160047, India
[6] MCM DAV Coll Women, Dept Bot, Chandigarh 160036, India
[7] Inst Marine Biol Resources & Inland Waters, Hellenic Ctr Marine Res, 46-7 Km Athens Sounioave, Anavissos 19013, Greece
[8] Cent Queensland Univ, Sch Engn & Technol, Rockhampton, Qld 4702, Australia
[9] Univ Malaga, Dept Geog, Inst Geomorfol & Suelos, E-29071 Malaga, Spain
[10] Univ Trier, Dept Phys Geog, D-54296 Trier, Germany
关键词
Surface water; Heavy metals; Human health; Water management; Pollution indices; Multivariate analysis; SOURCE APPORTIONMENT; RISK-ASSESSMENT; TRACE-ELEMENTS; RIVER; CONTAMINATION; SEDIMENTS; QUALITY; SPECIATION; FISH; PHYTOREMEDIATION;
D O I
10.1016/j.chemosphere.2019.124364
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Water is polluted by increasing activities of population and the necessity to provide them with goods and services that use water as a vital resource. The contamination of water due to heavy metals (HMs) is a big concern for humankind; however, global studies related to this topic are scarce. Thus, the current review assesses the content of HMs in surface water bodies throughout the world from 1994 to 2019. To achieve this goal, multivariate analyses were applied in order to determine the possible sources of HMs. Among the analyzed HMs in a total of 147 publications, the average content of Cr, Mn, Co, Ni, As and Cd exceeded the permissible limits suggested by WHO and USEPA. The results of the heavy metal pollution index, evaluation index, the degree of contamination, water pollution and toxicity load showed that the examined water bodies are highly polluted by HMs. The results of median lethal toxicity index showed maximum toxicity in As, Co, Cr and Ni in the surface water bodies. Results of ingestion and dermal pathways for adults and children in the current analyzed review showed that As is the major contaminant. Moreover, Cr, Ni, As and Cd showed values that could be considered as a high risk for cancer generation via the ingestion pathway as compared to the dermal route. It is recommended that remediation techniques such as the introduction of aquatic phytoremediation plant species and adsorbents should be included in land management plans in order to reduce human risks. (C) 2019 Elsevier Ltd. All rights reserved.
引用
收藏
页数:14
相关论文
共 50 条
  • [1] Evaluation of soil pollution by heavy metal using index calculations and multivariate statistical analysis
    Terzi, Mustafa Haydar
    Kalkan, Murat
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2024, 196 (05)
  • [2] Assessment of heavy-metal pollution in three different Indian water bodies by combination of multivariate analysis and water pollution indices
    Kumar, Vinod
    Sharma, Anket
    Kumar, Rakesh
    Bhardwaj, Renu
    Thukral, Ashwani Kumar
    Rodrigo-Comino, Jesus
    HUMAN AND ECOLOGICAL RISK ASSESSMENT, 2020, 26 (01): : 1 - 16
  • [3] Assessment of heavy metal pollution of surface water through multivariate analysis, HPI and GIS techniques
    Arora, Sameer
    Saha, Prasenjit
    Shende, Ashay Devidas
    WATER PRACTICE AND TECHNOLOGY, 2025, 20 (01) : 148 - 167
  • [4] Evaluation of selected heavy metal and selenium pollution in water and sediments of Lake Eğirdir (Isparta/Türkiye) using statistical analysis and pollution indices
    Ozcelik, Sule
    Tekin-Ozan, Selda
    OCEANOLOGICAL AND HYDROBIOLOGICAL STUDIES, 2024, 53 (02) : 186 - 207
  • [5] Evaluation of ground water quality using heavy metal pollution indices and estimation of health risk
    Jaishi, Hari Prasad
    Mahanta, Bishal
    Ali, Innos
    Baishya, Kongkon
    Roy, Dhruba Kumar
    Sarma, Manjit
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL ANALYTICAL CHEMISTRY, 2024,
  • [6] Risk estimation and multivariate statistical analysis of the heavy metal content of drinking water samples
    Jakhu, Rajan
    Mehra, Rohit
    TOXICOLOGY AND INDUSTRIAL HEALTH, 2018, 34 (10) : 714 - 725
  • [7] Comprehensive Water Quality and Heavy Metal Pollution Assessment of the Lom River in Bekao Gold Mining Sites (Adamawa-Cameroon) Using the Pollution Indices and Multivariate Statistical Approach
    Sayom, Yvan Reynolds Abende
    Mefomdjo, Blanche Fotie
    Tarkwa, Jean-Baptiste
    Sop, Berthelot Tamo
    Ngueyep, Luc Leroy Mambou
    Tchuikoua, Bernard Louis
    Meying, Arsene
    WATER AIR AND SOIL POLLUTION, 2023, 234 (10)
  • [8] Assessment of heavy metal pollution in Nigerian surface freshwaters and sediment: A meta-analysis using ecological and human health risk indices
    Bawa-Allah, Kafilat A.
    JOURNAL OF CONTAMINANT HYDROLOGY, 2023, 256
  • [9] Heavy Metal Pollution in River Ulhas, Maharashtra, India: Unraveling Contamination Dynamics Through Pollution Indices, Multivariate Analysis, and Health Risk Assessment
    Botle, Akshay
    Salgaonkar, Sayli
    Tiwari, Rahul
    Barabde, Gayatri
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH, 2025, 19 (03)
  • [10] Assessment of heavy metal contamination in sediments of the Tigris River (Turkey) using pollution indices and multivariate statistical techniques
    Varol, Memet
    JOURNAL OF HAZARDOUS MATERIALS, 2011, 195 : 355 - 364