Spatial Distribution and Assessment of Heavy Metals Pollution in Sediments of Tobruk Bay (Libya)

Author(s):  
Heba A. Amin ◽  
Hadeer N. Saleh ◽  
Mohamed Y. Omar ◽  
Alaa R. Mostafa ◽  
Younis E. Ebraham
2014 ◽  
Vol 587-589 ◽  
pp. 804-807
Author(s):  
Shuang Li ◽  
Yi Ming Liu ◽  
Yuan Yuan Sun

The heavy metals contents of 29 samples were tested in Nansi Lake which was divided into 5 parts. The heavy metals included Hg, Cd, Cr, Pb, Ni, Cu, Zn and As. The spatial distribution of heavy metals of 5 Lakes region has been received. The pollution of heavy metals was with evaluated with Igeo and RI. The results showed that: Nasi Lake has been polluted by heavy metals in middle level, and As, Hg, Cd and Pb were more serious. The heavy metals pollution of the part in north were more serious than in south, except the As and Cd. Overall, the heavy metals pollution in the north Zhaoyang Lake was the most serious, followed by the Nanyang Lake, Weishan Lake, Dushan Lake and the south Zhaoyang Lake.


Author(s):  
Elsiddig Eldaw ◽  
Tao Huang ◽  
Basheer Elubid ◽  
Adam Khalifa Mahamed ◽  
Yahaya Mahama

The present study proposes a new approach for indexing heavy metals ions to examine groundwater quality in North Kurdufan Province, Sudan. The new approach is developed based on the most frequently used methods for indexing heavy metals pollution in water. It is created in order to avoid the weaknesses of the current indexing systems. As per the new indexing approach, heavy metal contamination in water samples is evaluated by two types of indices: the negative evaluation index (NEI) and positive evaluation index (PEI). The water worthiness is assessed based on a pair of indices, NEI and PEI. Water quality increases with the decrease of PEI and NEI values. NEI indicates the contribution of heavy metals with a concentration not exceeding the highest desirable limit ( I i ) in the water sample, while vice versa regarding the PEI. If all heavy metals concentrations in the water sample do not exceed I i , the sum of NEI should be less than zero, but not less than −100, implying that the sum of PEI will be zero. When all heavy metals concentration exceeds I i , the sum of NEI should be equal to zero, and PEI will be greater than zero. The results of the newly proposed approach have been discussed and compared with the existing indexing methods as regards to the best and worst samples. The spatial distribution of NEI and PEI are in complete agreement with the metals spatial distribution. The comparison result showed that the new index is robust, with fair calculations, and gives the best classification of groundwater quality.


2021 ◽  
Vol 54 (2A) ◽  
pp. 112-125
Author(s):  
Mohammed Saber

In recent decades, significant attention has been paid to heavy metal contamination as a dangerous environmental problem because of the toxicity, abundance, persistence and bioaccumulation of these elements (Chen et al., 2016,) (Islam et al., 2017 and ) (Jin et al., 2019). In general, the contamination state of the environment is evaluated by the total concentration of heavy metals (Kanda et al., 2018). The riverine sediments are considered as the main basins for various pollutants following the largely uncontrolled discharge of contamination resulting from human activities and geogenic processes (Liu et al., 2018). The sediment contamination is an important indicator of environmental variation as a result of anthropogenic influence (Gao et al., 2019). River sediments serve as not only a major sink and carrier of heavy metals but also as potential sources of secondary pollution, which can reflect their contamination level (Tang et al., 2014 and ) (Hsu et al., 2016). The heavy metals are released into the aquatic environments from geogenic and anthropogenic sources. The geogenic sources include chemical leaching of bedrock, water drainage basins and runoff from banks (Raj et al., 2017). The anthropogenic sources of heavy metals pollution in aquatic systems include mining activities, industrial wastes disposal and pesticides use, (Chakravarty & Patgiri, 2009). The heavy metals pollution of sediments is an indicator of the aquatic systems water quality (Zhao et al., 2012). The heavy metal distribution in sediments and pollution levels supplies a base for consideration of sediments treatment methods and evaluation of the potential releasing of heavy metals into water and transport downstream (Nawrot et al., 2020). The vertical and spatial distribution of heavy metals and pollution levels have been evaluated in sediments of many world rivers, such as the Yinma River, China (Guan et al., 2018), the Voghji River, Armenia (Gabrielyan et al., 2018), the Barigui River, Brazil (Machado et al., 2017), the Harazdan River, Armenia (Petrosyan et al., 2019), the Thames River, the UK (Vane et al., 2020), the Yang River, China (Tang et al., 2020), and the Lu Lu River, China (Ye et al., 2020). The spatial distribution of heavy metals in sediments of the Euphrates River in Iraq has been investigated by many authors (Issa & Qanbar, 2016); (Al-Taher et al., 2020); and (Hussain & Al-Jaberi, 2020). The spatial variation of heavy metal concentrations in sediments of the Euphrates River along the studied area between Heet and Ramadi Cities has been studied by (Al-Bassam & Al-Mukhtar, 2008) and (Salah et al., 2012). The aim of the study is to investigate how heavy metals are laterally and vertically distributed in sediments of the given study area of Euphrates River between Heet and Fallujah Cities. This study represents the first attempt to investigate the vertical distribution of heavy metals in the Euphrates River sediments.


2020 ◽  
Vol 23 (11) ◽  
Author(s):  
Aqeel M. Ali Al-Lami ◽  
Saba Riad Khudhaier ◽  
Omer AbdulKareem Aswad

2020 ◽  
Vol 3 (2) ◽  
Author(s):  
Cyril Ocheri ◽  
A. D. Omah ◽  
C. N. Mbah ◽  
R. E. Njoku ◽  
N. A. Urama ◽  
...  

Heavy metals pollution potential in National Iron Ore Mining Company, Itakpe was investigated. Two mining sites located at the east mining pits such as M3O, which is 370 m above sea level and M2O, which is 350 m above sea level were studied.  Sequential extraction techniques was utilised to examine the distribution effect of the heavy metals pollution potential on the environment. Twelve representative (six-soil, two-sediment, two-plant and two-water) samples were collected, pre-treated and prepared for this study. The atomic absorption spectrometer was used to analyse the concentration of the metals after the sequential and single-stage extractions were determined. Results showed that Chromium, Arsenic, Cadmium and Copper are more bioavailable in the study area than Lead and Iron. This findings indicate that human, animals and plants are exposed to toxic elements (metals and metalloids).


2018 ◽  
Author(s):  
Gevorg Tepanosyan ◽  
Lilit Sahakyan ◽  
David Pipoyan ◽  
Armen Saghatelyan

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