Heavy metal pollution in urban river sediment of different urban functional areas and its influence on microbial community structure

2021 ◽  
pp. 146383
Author(s):  
Feng Wang ◽  
Wenyi Dong ◽  
Zilong Zhao ◽  
Hongjie Wang ◽  
Wenzheng Li ◽  
...  
Keyword(s):  
Heavy Metal ◽  
Community Structure ◽  
Microbial Community ◽  
Microbial Community Structure ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
River Sediment ◽  
Urban River ◽  
Functional Areas

scholarly journals Ecological Effects of Heavy Metal Pollution on Soil Microbial Community Structure and Diversity on Both Sides of a River around a Mining Area

2020 ◽  
Vol 17 (16) ◽  
pp. 5680
Author(s):  
Xingqing Zhao ◽  
Jian Huang ◽  
Xuyan Zhu ◽  
Jinchun Chai ◽  
Xiaoli Ji
Keyword(s):  
Heavy Metal ◽  
Community Structure ◽  
Microbial Community ◽  
Environmental Factors ◽  
Microbial Communities ◽  
Microbial Community Structure ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Mining Area ◽  
Soil Microbial

The objectives of this study were to understand the characteristics of heavy metal pollution caused by mining activities on the two sides of the Shun’an river and the response of soil microorganisms to the habitats by different contamination levels and vegetation. This paper selected soil samples from the banks of the Shun’an River near the Shizishan mining area, which is at the left of the river, in Tongling, Anhui Province, China. Using Illumina MiSeq 2500 technology, we analyzed the relationship between environmental factors and microbial communities. As the distance from the mining area increased, the heavy metal comprehensive pollution and potential risk value decreased. Additionally, the pollution severity and risk value of the left bank, where the mining area lies, were generally higher than those of the right bank. Because the symmetric sampling points on both banks of the river had similar planting types, their environmental factors and microbial community structure were similar and clustered. However, under different vegetation, the paddy soils tended to have a higher nutrient content and community richness and diversity than the vegetable fields or the abandoned land. It was found that soil microbial communities in this area were mostly affected by pH and Nemerow pollution index (PN). The pH significantly affected the abundance and structure of most microorganisms. In addition, Proteobacteria, Acidobacteria, and Bacteroidetes had significant tolerance to Zn, Pb, and Cd. By exploring the potential use of these tolerant microorganisms, we seek to provide strains and the theoretical basis for the bioremediation of areas contaminated by heavy metal.

scholarly journals Evaluating ecological risks and tracking potential factors influencing heavy metals in sediments in an urban river

2021 ◽  
Vol 33 (1) ◽  
Author(s):  
Dongping Liu ◽  
Jian Wang ◽  
Huibin Yu ◽  
Hongjie Gao ◽  
Weining Xu
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Ecological Risk ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Risk Index ◽  
Urban River ◽  
Ecological Risks ◽  
Background Values ◽  
Potential Factors

Abstract Background Heavy metal pollution of aquatic systems is a global issue that has received considerable attention. Canonical correlation analysis (CCA), principal component analysis (PCA), and potential ecological risk index (PERI) have been applied to heavy metal data to trace potential factors, identify regional differences, and evaluate ecological risks. Sediment cores of 200 cm in depth were taken using a drilling platform at 10 sampling sites along the Xihe River, an urban river located in western Shenyang City, China. Then they were divided into 10 layers (20 cm each layer). The concentrations of the As, Cd, Cr, Cu, Hg, Ni, Pb and Zn were measured for each layer. Eight heavy metals, namely Pb, Zn, As, Cd, Cr, Cu, Ni, and Hg, were measured for each layer in this study. Results The average concentrations of the As, Cd, Cu, Hg, and Zn were significantly higher than their background values in soils in the region, and mainly gathered at 0–120 cm in depth in the upstream, 0–60 cm in the midstream, and 0–20 cm downstream. This indicated that these heavy metals were derived from the upstream areas where a large quantity of effluents from the wastewater treatment plants enter the river. Ni, Pb, and Cr were close or slightly higher than their background values. The decreasing order of the average concentration of Cd was upstream > midstream > downstream, so were Cr, Cu, Ni and Zn. The highest concentration of As was midstream, followed by upstream and then downstream, which was different to Cd. The potential factors of heavy metal pollution were Cd, Cu, Hg, Zn, and As, especially Cd and Hg with the high ecological risks. The ecological risk levels of all heavy metals were much higher in the upstream than the midstream and downstream. Conclusions Industrial discharge was the dominant source for eight heavy metals in the surveyed area, and rural domestic sewage has a stronger influence on the Hg pollution than industrial pollutants. These findings indicate that effective management strategies for sewage discharge should be developed to protect the environmental quality of urban rivers.

Microbial community structure and functioning along metal pollution gradients

2013 ◽  
Vol 32 (9) ◽  
pp. 1992-2002 ◽  
Author(s):  
Hamed Azarbad ◽  
Maria Niklińska ◽  
Cornelis A.M. van Gestel ◽  
Nico M. van Straalen ◽  
Wilfred F.M. Röling ◽  
...  
Keyword(s):  
Community Structure ◽  
Microbial Community ◽  
Microbial Community Structure ◽  
Metal Pollution

Characteristics of microbial community structure in Guishui River sediment in Beijing

2019 ◽  
Vol 39 (20) ◽  
Author(s):  
林海 LIN Hai ◽  
蔡怡清 CAI Yiqing ◽  
李冰 LI Bing ◽  
董颖博 DONG Yingbo ◽  
李阳 LI Yang
Keyword(s):  
Community Structure ◽  
Microbial Community ◽  
Microbial Community Structure ◽  
River Sediment
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