Distribution and ecological risks of heavy metals in river sediments and overlying water in typical mining areas of China

2019 ◽  
Vol 146 ◽  
pp. 893-899 ◽  
Author(s):  
Ming Chen ◽  
Fengguo Li ◽  
Meixia Tao ◽  
Lanwen Hu ◽  
Yanli Shi ◽  
...  
Keyword(s):  
Heavy Metals ◽  
River Sediments ◽  
Ecological Risks ◽  
Overlying Water ◽  
Mining Areas

scholarly journals Contamination Features and Source Apportionment of Heavy Metals in the River Sediments around a Lead-Zinc Mine: A Case Study in Danzhai, Guizhou, China

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Rongguo Sun ◽  
Yue Gao ◽  
Jing Xu ◽  
Yang Yang ◽  
Yutao Zhang
Keyword(s):  
Heavy Metals ◽  
Anthropogenic Activities ◽  
Risk Index ◽  
River Sediments ◽  
Careful Consideration ◽  
Ecological Risks ◽  
Lead Zinc ◽  
Zinc Mine ◽  
Mining And Smelting ◽  
Mining And Smelting Activities

The spatial patterns, ecological risks, and sources of heavy metals (HMs), including Pb, Zn, Mn, Cu, Cd, Hg, and As in river sediments, were identified around a lead-zinc mine of Danzhai, Guizhou, China. The concentrations of selected HMs and their coefficient variations indicated that the river sediments around this typical lead-zinc mine were obviously contaminated with HMs. Anthropogenic activities had further enhanced the accumulation of HMs. The higher contents of the most common selected HMs were mainly distributed in the area close to the lead-zinc mine. Based on the combined evaluations of the single factor pollution index, geo-accumulation index, and potential ecological risk index, it indicated that the ecological risks of Hg, Cd, Zn, and Pb were high or extremely high, and of Mn, Cu, and As were slight or none in the sediments around this lead-zinc mine. It was found that lead-zinc mining and smelting activities, coal mining activities, and agricultural activities (livestock and poultry breeding) are the primary sources of selected HMs, based on the results of correlation analysis together with principal component analysis (PCA) and positive matrix factorization (PMF) model. The pollution of HMs in the river sediments around a lead-zinc mine was predominantly caused by lead-zinc mining and smelting activities. Therefore, for environmental persistence, lead-zinc mining and smelting activities should be given careful consideration and under close surveillance.

Analysis of Heavy Metal in Water used for Irrigation, Soil and Some Vegetables grown around Tin Mine Areas of Heipang District, Barkin-Ladi Local Government of Plateau State

2019 ◽  
pp. 111-119
Author(s):  
Agustina Onyebuchi Ijeomah ◽  
Rebecca Ngoholve Vesuwe ◽  
Bitrus Pam
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Food Safety ◽  
Safety Concern ◽  
Human Beings ◽  
Green Beans ◽  
Green Pepper ◽  
Transfer Factors ◽  
Mining Areas ◽  
Plateau State

Vegetables growing in mining areas have become a serious food safety concern because of the high levels of heavy metals always associated with mining. In this study, water used for irrigation, soil, cabbage, green pepper and green beans grown in tin mine areas of Heipang District, Barkin-Ladi LGA of Plateau State were analyzed for lead, cadmium and zinc, using Atomic Absorption Spectrophotometer (AAS). The concentrations of the heavy metals in water, soil, vegetables were all in the order Pb, >> Cd > Zn. In the vegetables, the order was: Pb → cabbage > green beans > green pepper; Cd → green beans > cabbage > green pepper; Zn → cabbage > green pepper = green beans. The transfer factors for all the metals (heavy metal in plant / heavy metal in soil) ranged from 0.95 to 1.48. There were high levels of Pb and Cd in all the vegetables, which may be attributed to the metals in the water used for irrigation. Whilst the concentration of Zn in all the samples were lower than recommended limits, the levels of Pb and Cd in the water, soil and vegetables were higher than the WHO/FEPA standard recommended limits reported for vegetables. The Cd concentrations of the vegetables also exceeded the tolerance thresholds for animals and human beings and therefore consumption of vegetable from the area would endanger the health of the population.

Fraction distribution of heavy metals and its relationship with iron in polluted farmland soils around distinct mining areas

2021 ◽  
pp. 104969
Author(s):  
Wantong Zhao ◽  
Chunhao Gu ◽  
Hong Ying ◽  
Xionghan Feng ◽  
Mengqiang Zhu ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Mining Areas ◽  
Farmland Soils ◽  
Fraction Distribution

scholarly journals Biological Risk Assessment of Heavy Metals in Sediments and Health Risk Assessment in Marine Organisms from Daya Bay, China

2020 ◽  
Vol 9 (1) ◽  
pp. 17
Author(s):  
Zexing Kuang ◽  
Yangguang Gu ◽  
Yiyong Rao ◽  
Honghui Huang
Keyword(s):  
Heavy Metals ◽  
Risk Assessment ◽  
Marine Organisms ◽  
Daya Bay ◽  
Ecological Risks ◽  
The Monte Carlo Method ◽  
Accumulation Index ◽  
The Mean ◽  
Primary Pollutant ◽  
Geo Accumulation

The concentrations of heavy metals in sediments and marine organisms in Daya Bay were investigated, and the Monte Carlo method was used to analyze the uncertainty of the results of geo-accumulation characteristics and ecological and health risks. The mean concentrations of metal elements in sediments were in the following order: Zn > Cr > Cu > As > Cd > Hg, while those in marine organisms were Zn > Cu > As > Cr ≈ Cd > Hg. The geo-accumulation index (Igeo) indicated that the primary pollutant was Hg, with 5.46% moderately polluted, and 39.52% for unpolluted to moderately polluted. Potential ecological risks (RI) were between low and high risks, and the contributions of Hg, Cd, and As to ecological risks were 50.85%, 33.92%, and 11.47%, respectively. The total hazard coefficients (THQ) were less than 1, but on the basis of total carcinogenic risks (TCR), the probability of children and adults exceeded the unacceptable risk threshold of 22.27% and 11.19%, respectively. Sensitivity analysis results showed that the concentrations of carcinogenic elements contributed to risk in the order of As > Cd > Cr. Therefore, in order to effectively control heavy metals contamination in Daya Bay, it is necessary to strengthen the management of Hg, Cd, and As emissions.

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.

scholarly journals Little Akaki River sediment enrichment with heavy metals, pollution load and potential ecological risks in downstream, Central Ethiopia

2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Deshu Mamo Mekuria ◽  
Alemnew Berhanu Kassegne ◽  
Seyoum Leta Asfaw
Keyword(s):  
Heavy Metals ◽  
River Sediment ◽  
Addis Ababa ◽  
Biological Effects ◽  
Sediment Quality ◽  
Contamination Factor ◽  
Anthropogenic Sources ◽  
Ecological Risks ◽  
Pollution Load ◽  
Akaki River

Abstract Addis Ababa City’s river ecosystem is under extreme pressure as a result of inappropriate practices of dumping domestic and industrial wastes; thus, threatening its ability to maintain basic ecological, social and economic functions. Little Akaki River which drains through Addis Ababa City receives inorganic and organic pollutants from various anthropogenic sources. Most of inorganic pollutants such as toxic heavy metals released into the river are eventually adsorbed and settle in the sediment. The objective of this study was to evaluate the enrichment levels, pollution load and ecological risks of selected heavy metals (Zn, Cr, Cd and Pb) using various indices. The mean concentrations of heavy metals in Little Akaki River sediment were: Zn (78.96 ± 0.021–235.2 ± 0.001 mg/kg); Cr (2.19 ± 0.014–440.8 ± 0.003 mg/kg); Cd (2.09 ± 0.001–4.16 ± 0.0001 mg/kg) and Pb (30.92 ± 0.018–596.4 ± 0.066 mg/kg). Enrichment factor values indicated that sediments were moderate to significantly enriched with Zn and Cr; moderate to very highly enriched with Pb, and very highly enriched in all sampled sites with Cd. Geo-accumulation index and contamination factor values indicated that the sediments were moderate to very highly contaminated with toxic Cd and Pb. The decreasing order of pollution load index (PLI) in downstream was: (S9) > (S4) > (S8) > (S3) > (S6) > (S10) > (S5) > (S2) > (S7) > (S1). PLI and hierarchical cluster analysis revealed that the highest pollution load occurred in the lower course of the river (S9) which may be due to metals inputs from anthropogenic sources. The ecological risk (RI = 350.62) suggested that the contaminated Little Akaki River sediment can pose considerable ecological risks of pollution. The concentrations of Zn, Cr, Cd and Pb in Little Akaki River sediment surpassed eco-toxicological guideline limits of USEPA (threshold effect concentration) and CCME (Interim Sediment Quality Guidelines). Thus, the contaminated sediments can pose adverse biological effects on sediment dwelling organisms.

Sorption of DDTs on biofilms, suspended particles and river sediments: effects of heavy metals

2010 ◽  
Vol 9 (3) ◽  
pp. 361-367 ◽  
Author(s):  
Deming Dong ◽  
Zhiyong Guo ◽  
Xiuyi Hua ◽  
Ying Lan ◽  
Jinting Zhou ◽  
...  
Keyword(s):  
Heavy Metals ◽  
River Sediments ◽  
Suspended Particles

scholarly journals HYGIENIC ASSESSMENT OF THE CONTENT OF CHEMICALS IN THE SOIL OF MINING AREAS OF THE TRANS-BAIKAL REGION

2019 ◽  
Vol 98 (4) ◽  
pp. 400-410 ◽  
Author(s):  
L. A. Mikhailova ◽  
M. A. Solodukhina ◽  
O. G. Alekseeva ◽  
N. M. Burlaka ◽  
S. E. Lapa
Keyword(s):  
Heavy Metals ◽  
Soil Contamination ◽  
Chemical Elements ◽  
Raw Materials ◽  
Atomic Absorption Spectrophotometry ◽  
Arsenic Content ◽  
Toxic Substances ◽  
Residential Areas ◽  
Entire Area ◽  
Mining Areas

Introduction. Intensive exploration and processing of mineral raw materials in the Trans-Baikal territory has caused the accumulation of considerable amount of industrial mining waste with high content of chemical elements of different classes of hazard. Currently 33 tailings storage facilities (TSF) accumulating approximately 3 milliard tons of different industrial waste are located in the territory of the region. The aim of the research is the hygienic assessment of soil contamination in the residential areas adjacent to TSFs. Material and methods. Atomic absorption spectrophotometry method was used for the determination of heavy metals. The study presents the results of analyses of 444 samples of gross content of lead, zinc, copper, mercury, arsenic, and cadmium in the soil of Khapcheranga, Sherlovaya Gora, Kadaya, Vershino-Darasunsky, and Vershino-Shakhtaminsky mining villages throughout the duration of 2012 - 2015. Results. During the period of the study the total value of soil contamination with Zc calculated by the median concentrations in Khapcheranga Village amounted to 4.7 6.9, in Vershino-Shakhtaminaky - to 6.7 8.8, which corresponds to the «allowable» level of the contamination. Zc calculation by maximum concentrations has shown the soil to be referred to the category from “moderately dangerous” to “extremely dangerous”; this value in Khapcheranga Village amounted to 48.7 - 235.3, in Vershino-Shakhtaminsky Village - to 23.76 - 164.8. Discussion. In the residential areas the allowable degree of soil contamination was determined to be predominantly observed; Khapcheranga and Vershino-Shakhtaminsky villages are the exceptions. The results of the assessment give the evidence of tge increased lead, cadmium and arsenic content throughout the entire area of the villages, while the highest levels of accumulated toxic substances are registered in the areas located near the TSF Conclusion. Thus, several zones of natural and anthropogenous contamination with increased concentrations of heavy metals and arsenic have been formed in the Trans-Baikal Territory. This dictates the need to study the influence of geochemical anomalies on the health of population.

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