scholarly journals Seasonal variations of heavy metals concentrations and pollution assessment of major dumpsites in Ilisan-Remo, Nigeria

2020 ◽  
Vol 7 (3) ◽  
pp. 193-202
Author(s):  
Oluwatosin Sarah Shokunbi ◽  
Olubode Olumuyiwa Ajayi ◽  
Olutayo Sunday Shokunbi
2021 ◽  
Vol 80 (11) ◽  
Author(s):  
Salwinder Singh Dhaliwal ◽  
Raj Setia ◽  
Vinod Kumar ◽  
Tapan Ghosh ◽  
Sagar Taneja ◽  
...  

2018 ◽  
Vol 137 ◽  
pp. 688-694 ◽  
Author(s):  
Ghizlane Azizi ◽  
Mostafa Layachi ◽  
Mustapha Akodad ◽  
David R. Yáñez-Ruiz ◽  
Antonio Ignacio Martín-García ◽  
...  

2019 ◽  
Vol 11 (29) ◽  
pp. 3657-3664 ◽  
Author(s):  
Yu Ding ◽  
Guiyu Xia ◽  
Huiwen Ji ◽  
Xiong Xiong

A rapid detection method for heavy metals in oily soil is needed to provide accurate data support for in situ soil pollution assessment and restoration.


2020 ◽  
Vol 29 (7) ◽  
pp. 1167-1188 ◽  
Author(s):  
Abdurrahman LERMİ ◽  
Emmanuel Daanoba SUNKARI

Concentrations of selected elements (Al, Fe, Mn, Mo, As, Cd, Cu, Cr, Ni, Co, Pb, Sb, and Zn) and Pb isotope ratios were determined in 53 sediments from Alihoca, Gümüş, Horoz, and Çakıt streams around the south-central Taurides (Ulukışla Basin), Niğde, which is a known mining province in Turkey. Several pollution and risk assessment indices were used to assess possible heavy metal pollution in the stream sediments and the associated potential ecological risks. Concentrations of As, Cd, Cu, Cr, Ni, Co, Pb, Sb, and Zn were elevated in the streams located near ancient mines, active mines, and slag piles in the area, suggesting an influence from mining activities. The pollution assessment indices indicated that the sediments were significantly polluted by As, Cd, Sb, Zn, and Pb and moderately polluted by Cu, Ni, Cr, and Co. The sediments show very high potential ecological risk with As, Cd, Sb, and Pb as the principal contributors. Ni, Cr, As, Pb, Zn, and Cd exceeded the probable effect concentrations in most of the samples implying that their concentrations may frequently affect sediment-dwelling organisms. Multivariate statistical analyses indicate that the accumulation of heavy metals in the stream sediments is due to an interplay of anthropogenic activities (mining and agrochemical application) and geogenic processes (weathering of bedrocks and supergene alteration of base metal-rich mineralization). Pb isotopic tracing indicates that total Pb in the sediments (206Pb/207Pb = 1.09–1.29) is primarily from weathering and dissolution of ultrapotassic rocks (206Pb/207Pb up to 1.20) and galena (206Pb/207Pb up to 1.21) from the Pb-Zn-Au deposits in the area with some anthropogenic input from mine slag piles (206Pb/207Pb = 1.10).


2019 ◽  
Vol 19 (9) ◽  
pp. 2083-2092 ◽  
Author(s):  
Yue Wu ◽  
Beibei Lu ◽  
Xinlei Zhu ◽  
Aihong Wang ◽  
Meng Yang ◽  
...  

2003 ◽  
Vol 5 (2) ◽  
pp. 328-335 ◽  
Author(s):  
Carlo Barbante ◽  
Claude Boutron ◽  
Christine Morel ◽  
Christophe Ferrari ◽  
Jean Luc Jaffrezo ◽  
...  

2020 ◽  
Vol 42 (11) ◽  
pp. 3949-3963 ◽  
Author(s):  
Anwar Mamat ◽  
Zhaoyong Zhang ◽  
Zulpiya Mamat ◽  
Fang Zhang ◽  
Chen Yinguang

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Jin Wei ◽  
Maoqing Duan ◽  
Yiping Li ◽  
Amechi S. Nwankwegu ◽  
Yong Ji ◽  
...  

Abstract Surface sediment samples were collected from four areas (the Jingdezhen Industrialized Area (JDZ), Upstream (UP), the Dexing Mining Area (DX), and Downstream (DM)) to investigate the concentration and chemical composition of heavy metals. The sediments were analysed for Cu, Zn, Pb, Cd, Cr, As, and Ni using a sequential extraction scheme according to the improved BCR (European Community Bureau of Reference) method. The obtained results show that the maximum values of Cu (793.52 μg·g−1), Zn (72.09 μg·g−1), Pb (222.19 μg·g−1), and Cd (1.60 μg·g−1) were collected from the DX sampling area, while the JDZ area had the highest concentrations of Cr (97.09 μg·g−1), As (318.05 μg·g−1), and Ni (66.35 μg·g−1). The majority of metal values far exceeded their corresponding background values. The risk analysis of geo-accumulation index (Igeo) indicated that the heavy metals Cu and As were the main pollution factors and each element of the pollution degree followed the order of: Cu > As > Pb > Cd > Cr > Zn. Metal partitioning characteristics were also considered and more than 80% of metals show potential bioavailability and toxic effects.


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