Hydropower reservoirs enhanced the accumulation of heavy metals towards surface sediments and aggravated ecological risks in Jiulong River Basin, China

2021 ◽  
Author(s):  
Dejun Kang ◽  
Gongyi Zheng ◽  
Juhua Yu ◽  
Qiuwen Chen ◽  
Xiangzhou Zheng ◽  
...  
Keyword(s):  
Heavy Metals ◽  
River Basin ◽  
Surface Sediments ◽  
Ecological Risks ◽  
Jiulong River ◽  
Hydropower Reservoirs

Effects of Sediment Dredging on Heavy Metal Removal in Dianchi Lake, China

2013 ◽  
Vol 726-731 ◽  
pp. 1654-1658 ◽  
Author(s):  
Qiang Li ◽  
Jia Li Zhou ◽  
Ying Wang ◽  
Hui Li ◽  
Bin Huang ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Metal Content ◽  
Surface Sediments ◽  
Risk Index ◽  
Potential Ecological Risk ◽  
Dianchi Lake ◽  
Ecological Risks ◽  
Sediment Dredging ◽  
Ecological Risk Index

The heavy metals (Pb, Zn, Cu, Cd, Cr) and metalloid (As) in surface sediments and water samples from un-dredged and dredged areas in Dianchi Lake had been analyzed to investigate the removal efficiency of sediment dredging. Potential ecological risk index (RI) and simplified geoaccumulation risk index (Igeo) were used to assess the heavy metals accumulation and ecological risks. The results indicated that Pb2+, Zn2+, Cu2+, Cd2+, Cr2+ and As3+ were not detected in water of Dianchi Lake, and the heavy metal content of surface sediments in Caohai Lake was in the order of Zn2+>Pb2+>Cu2+>As3+>Cr2+>Cd2+, and that in Waihai Lake was in the order of Zn2+>Pb2+>Cu2+>Cr2+>As3+>Cd2+. Through comparing the heavy metal content in sediments from un-dredged and dredged areas, pollutants reduced after sediment dredging, which can be reflected by the Igeo values too. Potential ecological risk index showed that the potential ecological risks were at low level in Dianchi Lake after sediment dredging.

scholarly journals Quality Indicators and Possible Ecological Risks of Heavy Metals in the Sediments of three Semi-closed East Mediterranean Gulfs

Toxics ◽  
2019 ◽  
Vol 7 (2) ◽  
pp. 30 ◽  
Author(s):  
Nikolaos Stamatis ◽  
Nikolaos Kamidis ◽  
Pelagia Pigada ◽  
Georgios Sylaios ◽  
Emmanouil Koutrakis
Keyword(s):  
Heavy Metals ◽  
Quality Indicators ◽  
Surface Sediments ◽  
Risk Index ◽  
Contamination Factor ◽  
Hierarchical Cluster ◽  
Multivariate Techniques ◽  
Ecological Risks ◽  
East Mediterranean ◽  
Pb Pollution

Pollution with copper (Cu), lead (Pb), zinc (Zn), chromium (Cr), and nickel (Ni) heavy metals of the surface sediments collected from three semi-closed East Mediterranean Gulfs, namely Kavala, Strymonikos, and Ierissos Gulfs, North Aegean Sea, Greece, was investigated to evaluate potential benthic ecological risks. The mean concentrations of the studied metals decrease according to the order: Zn > Pb > Cr > Ni > Cu (176.50, 166.23, 127.41, 43.12, and 33.64 mg kg−1 dry weight). Quality indicators and possible ecological risks for metals in surface sediments were evaluated at 60 sampling sites of these three gulfs using the contamination factor (CF), the contamination degree (CD), the pollution load index (PLI), the geoaccumulation index (Igeo), the potential risk factor (PRFi), and the potential ecological risk index (PERI). Based on Igeo, the Ierissos Gulf sampling sites IER 2, 3, 7, and 9 exhibit moderate Pb pollution, whereas the sampling sites IER 6 and 8 show moderate to strong and strong Pb pollution, respectively. Based on the PRFi and PERI, the studied heavy metals did not pose any significant environmental risks for most of the investigated sites except IER 6 and 8 sampling sites, which may pose considerable environmental risk for Pb. To evaluate potential sources for each metal, multivariate techniques including hierarchical cluster analysis and ANOVA were used.

scholarly journals Occurrences and Ecotoxicological Risk Assessment of Heavy Metals in Surface Sediments from Awash River Basin, Ethiopia

Water ◽  
2018 ◽  
Vol 10 (5) ◽  
pp. 535 ◽  
Author(s):  
Niguse Dirbaba ◽  
Xue Yan ◽  
Hongjuan Wu ◽  
Luanettee’ Colebrooke ◽  
Jun Wang
Keyword(s):  
Heavy Metals ◽  
Risk Assessment ◽  
River Basin ◽  
Surface Sediments ◽  
Ecotoxicological Risk Assessment ◽  
Ecotoxicological Risk ◽  
Awash River Basin

scholarly journals Heavy Metals in Water and Surface Sediments of the Fenghe River Basin, China: Assessment and Source Analysis

2021 ◽  
Author(s):  
Pingping Luo ◽  
Chengyi Xu ◽  
Shuxin Kang ◽  
Aidi Huo ◽  
Jiqiang Lyu ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Water Quality ◽  
River Basin ◽  
Ecological Risk ◽  
Surface Sediments ◽  
Pearson Correlation ◽  
Sampling Site ◽  
Source Analysis ◽  
Index Method ◽  
Study Results

Abstract This paper combines environmental science, inorganic chemistry, water quality monitoring and other disciplines, and uses several representative evaluation methods (WQI, Pn, I-geo, RI) for heavy metals in water and sediments. A preliminary assessment and source analysis of heavy metals (Cd, Cr, Fe, Mn, Zn, Cr, Ti, Ni, Cu, As, Pb, Sr) in water and surface sediments of the Fenghe River Basin, Shannxi Province, China was carried out in this study. Results indicate that most of the heavy metals in water are below national water quality standards. Exceptions include Mn, which exceeds national tertiary standards and Cr, which exceeds national drinking water standards. Most heavy metals in the sediments exceed the environmental standard values except Ni. Water quality index (WQI) and Nemero index (Pn) showed the same trend in contamination levels of sampling sites. According to the Geological Accumulation Index method (I-geo) and the Potential Ecological Risk Index method (RI), high concentrations of Cd poses a high ecological risk in some sampling locations. Pearson Correlation Analysis (CA), Hierarchical Clustering Analysis (HCA), Principal Component Analysis (PCA) and Positive Matrix Factorization (PMF) models are used to explore the relationships and sources of heavy metals. In general, upstream sources are similar, and middle and lower reaches are easily clustered into a large category except for some specific sampling points. For example, metals in sampling site FHK mainly come from surrounding residents and farms and heavy metals attributes in sampling site SLQ relate to the fact that municipal sewage is collected and treated. The factors or sources of heavy metals in water and sediment are revealed in detail through PMF models. In the water, the average contribution rate of these four source factors for heavy metals is 36.8%, 11.7%, 9.4% and 42.0%, while the average proportion of these four factors for heavy metals in sediment is 8.0%, 29.2%, 23.9% and 38.9% respectively. Results show that the main sources of pollution in the region are urban construction and transportation, electronics industry, machinery manufacturing, tourism and agriculture. These sectors should therefore be given sufficient attention in the prevention and management of heavy metal pollution.

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