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首页> 外文期刊>SN Applied Sciences >Heavy metals in surface sediments of Lake Naivasha, Kenya: spatial distribution, source identification and ecological risk assessment
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Heavy metals in surface sediments of Lake Naivasha, Kenya: spatial distribution, source identification and ecological risk assessment

机译:Lake Naivasha,Kenya的表面沉积物中的重金属:空间分布,源识别和生态风险评估

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摘要

Heavy metals retained in sediments pose a threat to aquatic ecosystem and society. Knowledge of the status and sustainabilityof lake sediment in areas undergoing rapid economic development is scarce, and yet it is required in order toachieve the United Nations Sustainable Development goals. We investigated heavy metal concentration in Lake Naivashasediments using enrichment factor, geoaccumulation index, pollution load index (PLI), risk index (RI) and multivariatestatistics to determine metal accumulation, distribution and the lake’s pollution status. Sediments sampling followed agrid approach, and seven heavy metals: Co, Cr, Cu, Mn, Pb, Zn and Fe, were analyzed in total; concentrations were determinedusing portable X-ray fluorescence. The distribution maps were interpolated in a GIS platform, and the toxicity riskof sediments was determined. The concentrations of elements in the sediments are in the following decreasing order:Fe > Mn > Zn > Cu > Cr > Co > Pb. High concentration of heavy metals is found in the southern shoreline and east of thelake due to shoreline discharge and agricultural effluents drained into the lake and shoreline transgression. Pb and Znare of anthropogenic origin, while Cu and Mn originate from both natural and anthropogenic sources and Fe and Co arefrom natural sources. In addition, the mean toxicity decreases in the order: Cu > Fe > Co > Pb > Zn > Mn > Cr. The PLI valueswere above one (> 1), indicating progressive deterioration of the sediment quality. Though the overall ecological risk ofthe lake is low to moderate (RI 36.73–60.51), hotspots of pollution should be marked for intervention. This assessmentalso helps to fill the knowledge gap required to formulate the right policies in implementing sustainable developmentgoals in similar lakes.
机译:保留在沉积物中的重金属对水生生态系统和社会构成了威胁。了解地位和可持续性在经济发展快速发展的地区湖泊沉积物是稀缺的,但它是需要的实现联合国可持续发展目标。我们调查了纳维莎湖中的重金属浓度使用富集因子,地质累积指数,污染负荷指数(PLI),风险指数(RI)和多变量的沉积物确定金属积累,分布和湖泊污染状况的统计数据。沉积物抽样遵循了一个栅格方法和七种重金属:CO,Cr,Cu,Mn,Pb,Zn和Fe总计分析;确定浓度使用便携式X射线荧光。分发地图在GIS平台中插入,毒性风险确定了沉积物。沉积物中的元素的浓度是下降的下降顺序:Fe> Mn> Zn> Cu> Cr> Co> Pb。在南部海岸线和东部发现高浓度的重金属由于海岸线排放和农业污水排放到湖泊和海岸线越野中的湖泊。 Pb和Zn.是人为的起源,而Cu和Mn起源于天然和人为来源和Fe和Co来自自然来源。此外,平均毒性在顺序下降:Cu> Fe> Co> Pb> Zn> Mn> Cr。 pli值高于一个(> 1),表明沉积物质量的逐渐恶化。虽然整体生态风险湖泊低至中等(RI 36.73-60.51),应标明污染热点进行干预。这个评估还有助于填补制定可持续发展方面的正确政策所需的知识差距类似湖泊的目标。

著录项

  • 来源
    《SN Applied Sciences》 |2020年第2期|1-14|共14页
  • 作者单位

    Department of Environmental Sciences Maseno University P.O. Box 333 Maseno 40105 Kenya;

    Department of Geology University of Nairobi P.O. Box 30197 Nairobi Kenya Stellenbosch Institute for Advanced Study Wallenberg Research Centre at Stellenbosch University Stellenbosch 7600 South Africa;

    Department of Chemistry Maseno University P.O. Box 333 Maseno 40105 Kenya;

    Department of Environmental Sciences Maseno University P.O. Box 333 Maseno 40105 Kenya;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Pollution; Ecological risk; Aquatic ecosystem; GIS; SDGs; Africa;

    机译:污染;生态风险;水生生态系统;GIS;SDGS;非洲;

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