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利用污染指标和多元聚类分析评估科索沃特雷普察河和锡特尼察河水体及沉积物中的重金属污染情况。

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

作者信息

Ferati Flora, Kerolli-Mustafa Mihone, Kraja-Ylli Arjana

机构信息

Faculty of Food Technology, Department of Technology, University of Mitrovica, 40000, Mitrovica, Kosovo.

出版信息

Environ Monit Assess. 2015 Jun;187(6):338. doi: 10.1007/s10661-015-4524-4. Epub 2015 May 10.

Abstract

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.

摘要

测定了特雷普察河和锡特尼察河的水和沉积物样本中砷、镉、铬、钴、铜、镍、铅和锌的浓度,以评估污染程度。2014年4月至7月期间采集了6份水和沉积物样本。大多数水样的浓度在欧洲和科索沃的允许限值范围内。砷、镉、铅和锌的最高浓度主要源于人为来源,如采矿浮选的工业废水排放以及河岸侵蚀的矿山废料。使用污染因子(CF)、污染程度(Cd)、修正污染程度(mCd)、污染负荷指数(PLI)和地累积指数(Igeo)等污染指标对沉积物污染进行了评估。所研究金属的CF值表明沉积物具有高度污染性质,而Cd值表明沉积物污染程度非常高。mCd值表明锡特尼察河沉积物污染程度高至特雷普察河沉积物的超高度污染。PLI值范围为1.89至14.1,这表明所有调查地点的重金属浓度水平均超过背景值和沉积物质量指南。Igeo的平均值显示了特雷普察河和锡特尼察河沉积物重金属污染强度的以下排序:镉>砷>铅>锌>铜>钴>铬>镍。聚类分析表明,砷、镉、铬、钴、铜、镍、铅和锌来自人为来源,特别是采矿浮选排放物和锌矿厂废料的侵蚀。为了保护沉积物免受进一步污染,建议设计监测网络并减少人为排放。

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