Assessment of heavy metal contamination in water and sediments of Trepça and Sitnica rivers, Kosovo, using pollution indicators and multivariate cluster analysis

被引:0
作者
Flora Ferati
Mihone Kerolli-Mustafa
Arjana Kraja-Ylli
机构
[1] University of Mitrovica,Faculty of Food Technology, Department of Technology
[2] International Business College Mitrovica,Department of Environmental Management
[3] University of Tirana,Department of Biotechnology, Faculty of Natural Science
来源
Environmental Monitoring and Assessment | 2015年 / 187卷
关键词
Heavy metal; Trepça and Sitnica rivers; Pollution indicators; Multivariate cluster analysis; Water and sediment contamination;
D O I
暂无
中图分类号
学科分类号
摘要
The concentrations of As, Cd, Cr, Co, Cu, Ni, Pb, and Zn in water and sediment samples from Trepça and Sitnica rivers were determined to assess the level of contamination. Six water and sediment samples were collected during the period from April to July 2014. Most of the water samples was found within the European and Kosovo permissible limits. The highest concentration of As, Cd, Pb, and Zn originates primarily from anthropogenic sources such discharge of industrial water from mining flotation and from the mine waste eroded from the river banks. Sediment contamination assessment was carried out using the pollution indicators such as contamination factor (CF), degree of contamination (Cd), modified degree of contamination (mCd), pollution load index (PLI), and geo-accumulation index (Igeo). The CF values for the investigated metals indicated a high contaminated nature of sediments, while the Cd values indicated a very high contamination degree of sediments. The mCd values indicate a high degree of contamination of Sitnica river sediment to ultrahigh degree of contamination of Trepça river sediment. The PLI values ranged from 1.89 to 14.1 which indicate that the heavy metal concentration levels in all investigated sites exceeded the background values and sediment quality guidelines. The average values of Igeo revealed the following ranking of intensity of heavy metal contamination of the Trepça and Sitnica river sediments: Cd > As > Pb > Zn > Cu > Co > Cr > Ni. Cluster analysis suggests that As, Cd, Cr, Co, Cu, Ni, Pb, and Zn are derived from anthropogenic sources, particularly discharges from mining flotation and erosion form waste from a zinc mine plant. In order to protect the sediments from further contamination, the designing of a monitoring network and reducing the anthropogenic discharges are suggested.
引用
收藏
相关论文
共 38 条
  • [21] Assessment of heavy metal contamination in water body and riverbed sediments of the Yanghe River in the Bohai Sea, China
    Kuang, Cuiping
    Shan, Yunchi
    Gu, Jie
    Shao, Haibing
    Zhang, Wanlei
    Zhang, Yongfeng
    Zhang, Jiabo
    Liu, Huixin
    ENVIRONMENTAL EARTH SCIENCES, 2016, 75 (14)
  • [22] Heavy metal contamination in river water and sediments of the Swarnamukhi River Basin, India: risk assessment and environmental implications
    Priyanka Patel
    N. Janardhana Raju
    B. C. Sundara Raja Reddy
    U. Suresh
    D. B. Sankar
    T. V. K. Reddy
    Environmental Geochemistry and Health, 2018, 40 : 609 - 623
  • [23] Heavy metal contamination in river water and sediments of the Swarnamukhi River Basin, India: risk assessment and environmental implications
    Patel, Priyanka
    Raju, N. Janardhana
    Reddy, B. C. Sundara Raja
    Suresh, U.
    Sankar, D. B.
    Reddy, T. V. K.
    ENVIRONMENTAL GEOCHEMISTRY AND HEALTH, 2018, 40 (02) : 609 - 623
  • [24] Spatial distribution and contamination assessment of heavy metal pollution of sediments in coastal reclamation areas: a case study in Shenzhen Bay, China
    Zhang, Qiuying
    Ren, Futian
    Xiong, Xiangyun
    Gao, Hongjie
    Wang, Yudong
    Sun, Wenjun
    Leng, Peifang
    Li, Zhao
    Bai, Yangwei
    ENVIRONMENTAL SCIENCES EUROPE, 2021, 33 (01)
  • [25] Spatial distribution and contamination assessment of heavy metal pollution of sediments in coastal reclamation areas: a case study in Shenzhen Bay, China
    Qiuying Zhang
    Futian Ren
    Xiangyun Xiong
    Hongjie Gao
    Yudong Wang
    Wenjun Sun
    Peifang Leng
    Zhao Li
    Yangwei Bai
    Environmental Sciences Europe, 2021, 33
  • [26] Heavy metal contamination and ecological risk assessment in water and sediments of the Halda river, Bangladesh: A natural fish breeding ground
    Islam, Mohammad Amirul
    Das, Biplob
    Quraishi, Shamshad Begum
    Khan, Rahat
    Naher, Kamrun
    Hossain, Syed Mohammod
    Karmaker, Shanjib
    Latif, Shaikh Abdul
    Hossen, Mohammad Belal
    MARINE POLLUTION BULLETIN, 2020, 160
  • [27] Assessment and source analysis of heavy metal contamination in water and surface sediment in Dongping Lake, China
    Zhang, Zhanfei
    Yu, Na
    Liu, Dingying
    Zhang, Yinghao
    CHEMOSPHERE, 2022, 307
  • [28] A COMPARATIVE ANALYSIS OF WATER QUALITY ASSESSMENT METHODS FOR HEAVY METAL POLLUTION IN KARASU STREAM, TURKEY
    Sonmez, Adem Yavuz
    Hisar, Olcay
    Yanik, Telat
    FRESENIUS ENVIRONMENTAL BULLETIN, 2013, 22 (2A): : 579 - 583
  • [29] Assessment of heavy metal contamination in water, sediments, and Mangrove plant of Al-Budhai region, Red Sea Coast, Kingdom of Saudi Arabia
    Al-Mur, Bandar A.
    JOURNAL OF TAIBAH UNIVERSITY FOR SCIENCE, 2021, 15 (01): : 423 - 441
  • [30] Heavy metals relationship with water and size-fractionated sediments in rivers using canonical correlation analysis (CCA) case study, rivers of south western Caspian Sea
    Vosoogh, Ali
    Saeedi, Mohsen
    Lak, Raziyeh
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2016, 188 (11)