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Evaluation of sediment contamination in the Red Sea coastal area combining multiple pollution indices and multivariate statistical techniques
International Journal of Sediment Research ( IF 3.5 ) Pub Date : 2020-08-08 , DOI: 10.1016/j.ijsrc.2020.07.011
Yousef Saeed Saleh

In the recent years, the Red Sea coast of Yemen has been severely affected by intensive anthropogenic activities. The current study constitutes a thorough inquiry to evaluate the extent of heavy metals pollution in Yemen's Red Sea coast sediment and identifies the possible sources of pollution. The concentrations of five metals (copper (Cu), zinc (Zn), cadmium (Cd), lead (Pb), and nickel (Ni)) collected from nine sites along the Red Sea coast of Yemen were assessed using an atomic absorption spectrophotometer (ASS). Sediment quality indices, such as the sediment quality guidelines (SQGs), potential ecological risk (RI), contamination factor (CF), pollution load index (PLI), geoaccumulation index (Igeo), and modified degree of contamination (mCd) were computed. In addition, multivariate statistical techniques (principal component analysis (PCA), hierarchical cluster analysis, and Pearson's correlation analysis) were applied to identify the potential sources of metals. The mean concentrations of Cu, Zn, Cd, Pb, and Ni were 51.3, 61.9, 4.02, 9.9, and 33.4 mg/kg dry wt, respectively. The spatial distribution revealed that the metals concentrations were high at the middle zone and low southward of Hodeida city. According to the SQGs, the adverse biological effects of metals were occasionally associated with Cu and Cd, frequently associated with Ni, and not expected to occur with Zn and Pb. The RI indicated that the sediment of the studied sites pose low (RI < 50) to considerable (100 ≤ RI < 200) ecological risk. The mean effect range-median quotient (M-ERM-Q) indicated that the combination of the studied metals had the toxicity probability of 21% at all studied sites. Igeo and CF indicated that the metals concentrations were in the descending order of: Zn > Ni > Pb > Cd > Cu, whereas the PLI and mCd indicated that Ras Isa (Site 5) and Urj village (Site 6) were the most polluted sites. PCA, cluster analysis, and correlation analysis found that Cd, Pb, and Ni mostly originated from anthropogenic sources while Cu and Zn were mainly derived from natural sources. Thus, it is evident that the intensive anthropogenic activities had negative influence on metals accumulation in the sediment of the Red Sea coast of Yemen leading to detrimental effects to the whole ecosystem. These comprehensive findings provide valuable information and data for future monitoring studies regarding heavy metals pollution and sediment quality at the Red Sea coast of Yemen.



中文翻译:

结合多种污染指数和多元统计技术评价红海沿岸沉积物污染

近年来,也门的红海沿岸受到密集的人为活动的严重影响。当前的研究构成了彻底的调查,以评估也门红海沿岸沉积物中重金属的污染程度,并确定可能的污染源。使用原子吸收分光光度计评估了从也门红海沿岸九个地点收集的五种金属(铜(Cu),锌(Zn),镉(Cd),铅(Pb)和镍(Ni))的浓度。 (屁股)。沉积物质量指数,例如沉积物质量准则(SQG),潜在生态风险(RI),污染因子(CF),污染负荷指数(PLI),地质累积指数(I geo),并计算修正的污染度(mCd)。此外,还应用了多元统计技术(主要成分分析(PCA),层次聚类分析和Pearson相关分析)来识别潜在的金属来源。Cu,Zn,Cd,Pb和Ni的平均浓度分别为每千克干重51.3、61.9、4.02、9.9和33.4 mg / kg。空间分布表明,霍迪达市中部地区金属含量较高,南部偏低。根据SQGs,金属的不利生物学效应有时与Cu和Cd有关,经常与Ni有关,并且预计不会与Zn和Pb一起发生。RI表示,研究地点的沉积物构成低(RI <50)到相当大(100≤RI <200)的生态风险。I geo和CF表明,金属浓度按降序排列:Zn> Ni> Pb> Cd> Cu,而PLI和mCd表明Ras Isa(站点5)和Urj村(站点6)污染最严重。网站。PCA,聚类分析和相关分析发现,Cd,Pb和Ni主要来自人为来源,而Cu和Zn主要来自自然来源。因此,很明显,密集的人为活动对也门红海沿岸沉积物中的金属积累具有负面影响,从而对整个生态系统产生不利影响。这些综合发现为也门红海沿岸重金属污染和沉积物质量的未来监测研究提供了有价值的信息和数据。

更新日期:2020-08-08
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