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伊拉克南部阿拉伯河表层沉积物的时空变异性及污染源识别。

Spatio-temporal variability and pollution sources identification of the surface sediments of Shatt Al-Arab River, Southern Iraq.

机构信息

Faculty of Geography, Philipps-University of Marburg, Deutschhausstr. 10, 35037, Marburg, Germany.

出版信息

Sci Rep. 2020 Apr 24;10(1):6979. doi: 10.1038/s41598-020-63893-w.

Abstract

Water draining from heavily industrialized basins introduces significant amounts of pollutants to the rivers water and sediments. Heavy industrial activities in the Shatt Al-Arab basin result in increased pollutant loads to the river's surface sediments. Therefore, it becomes crucial to investigate the influence of anthropogenic activities on both spatial and temporal scales. This study unfolded the extent, sources, and distributions of heavy metals pollution in the sediments of the Shatt Al-Arab River. Extensive samplings were performed during the dry and the wet seasons at 25 stations along the river course for the analysis of 11 heavy metals. The analysis revealed high pollution levels in the river sediments compared to both their historical values and international standards. Statistical analysis techniques such as Principal Component Analysis (PCA) and Factor Analysis (FA) were applied. Statistical analysis showed that all the elements were well represented by four varifactors that explained a cumulative total variance of 74%. PCA/FA indicated that most investigated metals were of anthropogenic origins (i.e., industrial, residential, and agricultural sources). Pollution indices that were applied, such as Contamination Factor (CF) and Nemerow Pollution index (P), indicated that sediments were: (i) considerably contaminated with Fe and Mo (ii) moderately contaminated with Cr, Zn, Ni, Cu, Pb and Mn and (iii) not contaminated with Co and V. The P values indicated serious pollution in the river sediments in all sites, even though the pollution was not evenly distributed, i.e., the upstream reaches of the river were more polluted compared to the downstream parts. In contrast to many studies that have reported changes in heavy metals concentrations due to seasonal variations, our data showed no significant relationship between metals concentrations and seasonality. This study addresses several of the major limitations of the current knowledge on this river's pollution sources and analysis, such as the limited number of analyzed pollutants and restricted samplings in the current literature. The findings necessitate the implementation of effective management strategies to control pollution in the river basin.

摘要

从高度工业化的流域中排出的水会向河流的水和沉积物中引入大量污染物。在阿拉伯河盆地的重工业活动导致河流表层沉积物中的污染物负荷增加。因此,调查人为活动对空间和时间尺度的影响变得至关重要。本研究揭示了阿拉伯河沉积物中重金属污染的程度、来源和分布。在旱季和雨季,在河流沿线的 25 个站点进行了广泛的采样,对 11 种重金属进行了分析。分析结果显示,与历史值和国际标准相比,河流沉积物的污染水平很高。应用了主成分分析(PCA)和因子分析(FA)等统计分析技术。统计分析表明,所有元素都由四个方差因子很好地表示,这四个方差因子解释了 74%的累积总方差。PCA/FA 表明,大多数调查金属都来自人为来源(即工业、住宅和农业来源)。应用的污染指数,如污染因子(CF)和内梅罗污染指数(P),表明沉积物:(i)受到 Fe 和 Mo 的严重污染(ii)受到 Cr、Zn、Ni、Cu、Pb 和 Mn 的中度污染(iii)不受 Co 和 V 的污染。所有站点的 P 值表明河流沉积物受到严重污染,尽管污染分布不均匀,即河流上游比下游污染更严重。与许多研究报告由于季节性变化导致重金属浓度变化的情况不同,我们的数据显示金属浓度与季节性之间没有显著关系。本研究解决了当前关于该河流污染源和分析的知识的几个主要限制,例如当前文献中分析的污染物数量有限和采样受限。研究结果需要实施有效的管理策略来控制流域内的污染。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1fcd/7181784/696aba2d1212/41598_2020_63893_Fig1_HTML.jpg

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