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
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
下载
收藏
相关论文
共 50 条
  • [1] Assessment of heavy metal contamination in water and sediments of Trepca and Sitnica rivers, Kosovo, using pollution indicators and multivariate cluster analysis
    Ferati, Flora
    Kerolli-Mustafa, Mihone
    Kraja-Ylli, Arjana
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2015, 187 (06)
  • [2] Heavy metal contamination assessment and source apportionment analysis using multivariate methods in surface sediments of mining-impacted rivers in Benguet
    Macasieb R.Q.
    Orozco C.R.
    Resurreccion A.C.
    International Journal of Environmental Studies, 2021, 78 (02) : 283 - 300
  • [3] 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
  • [4] Assessment of Heavy Metal Contamination in the Sediments of the Shuangtaizi Estuary Using Multivariate Statistical Techniques
    Li, Chen
    Sun, Menghan
    Song, Chengwen
    Tao, Ping
    Yin, Yanyan
    Shao, Mihua
    SOIL & SEDIMENT CONTAMINATION, 2017, 26 (01): : 45 - 58
  • [5] Water quality and sediment contamination assessment of the Batllava Lake in Kosovo using fractionation methods and pollution indicators
    Avni Malsiu
    Ilir Shehu
    Trajče Stafilov
    Fatmir Faiku
    Arabian Journal of Geosciences, 2020, 13
  • [6] Water quality and sediment contamination assessment of the Batllava Lake in Kosovo using fractionation methods and pollution indicators
    Malsiu, Avni
    Shehu, Ilir
    Stafilov, Trajce
    Faiku, Fatmir
    ARABIAN JOURNAL OF GEOSCIENCES, 2020, 13 (11)
  • [7] Assessment of metal contamination in sediments of a perennial river in India using pollution indices and multivariate statistics
    Setia R.
    Dhaliwal S.S.
    Kumar V.
    Singh R.
    Dhir N.
    Kukal S.S.
    Pateriya B.
    Arabian Journal of Geosciences, 2021, 14 (21)
  • [8] Assessment of Heavy Metal Pollution in Sediments of Inflow Rivers to Lake Taihu, China
    Niu, Yong
    Niu, Yuan
    Pang, Yong
    Yu, Hui
    BULLETIN OF ENVIRONMENTAL CONTAMINATION AND TOXICOLOGY, 2015, 95 (05) : 618 - 623
  • [9] Assessment of Heavy Metal Pollution in Sediments of Inflow Rivers to Lake Taihu, China
    Yong Niu
    Yuan Niu
    Yong Pang
    Hui Yu
    Bulletin of Environmental Contamination and Toxicology, 2015, 95 : 618 - 623
  • [10] Assessment of heavy metal contamination status in sediments and identification of pollution source in Ichkeul Lake and rivers ecosystem, northern Tunisia
    Ouchir, Nesrine
    Ben Aissa, Lassaad
    Boughdiri, Mabrouk
    Aydi, Abdelwaheb
    ARABIAN JOURNAL OF GEOSCIENCES, 2016, 9 (09)