Identification of the distribution, contamination levels, sources, and ecological risks of heavy metals in vineyard soils in the main grape production area of China

2022 ◽  
Vol 81 (2) ◽  
Author(s):  
Marhaba Turhun ◽  
Mamattursun Eziz
Keyword(s):  
Heavy Metals ◽  
Ecological Risks ◽  
Production Area ◽  
Vineyard Soils ◽  
Contamination Levels

PROBLEM OF HEAVY METAL SURFACE SEDIMENT CONTAMINATION IN THE EASTERN GULF OF FINLAND

2017 ◽  
Author(s):  
N Derugina ◽  
N Derugina ◽  
А Grigoriev ◽  
A Grigoriev ◽  
Дарья Рябчук ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Bottom Sediments ◽  
Late Holocene ◽  
Sediment Contamination ◽  
Gulf Of Finland ◽  
Slow Decline ◽  
Contamination Levels ◽  
The Gulf Of Finland ◽  
Neva Bay

This project defines the pre-industrial quantities of heavy metals in sediment sequences of the Late Holocene from the Eastern Gulf of Finland. A comparative analysis reveals differences and similarities in the current concentrations of heavy metals in bottom sediments and pre-industrial levels. It is found that the maximum concentrations of heavy metals in the bottom sediments of the Gulf of Finland and Neva Bay occurred in the period of 1950-1990. Since the 1990s, the trend has been a slow decline in the contamination levels; however, the concentrations of some heavy metals in bottom sediments remain high.

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.

scholarly journals Impact Imposed by Urbanization on Soil Heavy Metal Content of Lake Wetland and Evaluation of Ecological Risks in East Dongting Lake in China

2021 ◽  
Author(s):  
Yang Lin ◽  
Kai Luo ◽  
Zilin Su ◽  
Yang Wu ◽  
Wei Xiao ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Land Use ◽  
Metal Content ◽  
Agricultural Land ◽  
Research Area ◽  
Dongting Lake ◽  
Heavy Metal Content ◽  
Ecological Risks ◽  
Positive Correlation

Abstract The urbanization is regarded as the major factor related to human activities that may interfere with the natural ecosystem. In this study, we have selected the wetland of East Dongting Lake as the research area. We have collected 180 soil samples (within the range of 0–20 cm, and 20cm-40cm), and we have measured the contents of their physicochemical properties (including salinity, pH value, soil particle composition, soil organic carbon, nitrate nitrogen and rapidly available phosphorus) as well as heavy metal elements (including As, Hg, Cd, Pb, Ni and Cr). We have adopted the methods of multivariate statistical analysis and inverse distance weighted (IDW) interpolation, so as to to reveal the sources and distribution characteristics of heavy metal content in soil in the research area. By adopting the potential ecological risk index (PERI) method proposed by Hakanson, we intend to assess the PERI values of heavy metals. Our research findings have shown that: (1) 8 sorts of heavy metals have shown positive correlation with each other. As, Hg and Zn have shown a significantly positive correlation with SOC (P < 0.01); As, Ni, Cr and Zn have shown a significantly positive correlation with AP (P < 0.01); As and Pb have shown a significantly positive correlation with Clay (P < 0.01); whereas Hg and Zn have shown a significantly negative correlation with Silt (P < 0.01); As and Pb have shown a significantly negative correlation with Sand (P < 0.01). (2) During urbanization, the elements of Cd, Ni, As, Hg and Pb might be enriched due to agricultural and industrial activities, whereas the use of fertilizers and pesticides constitute one of the major factors contributing to the increase of Cd and Pb contents in soil. (3) Influenced by the varying land patterns and with exception to Cu, the Fe-normalized concentrations have shown significant variations among different types of land use (P < 0.05). Specifically, there is a significantly higher level of Cd, Zn, Pb and Hg contents in the agricultural land than other types of land use, whereas there is a slightly higher level of heavy metal content in the mudflats than that in the grassland. In addition, the content of heavy metals in woodland remains relatively stable, and with exception to As, the content of heavy metals in woodland is the lowest among the five types of land. (4) The average value of the comprehensive PERI in heavy metals amounts to 555.03, representing a strong degree of ecological risks. Specifically, the proportion of sampling points of Cd that have a high level of ecological risks amounts to 36.51%, which is the primary element contributing to heavy metal pollution in the region, especially in the agricultural land.

scholarly journals Contamination levels in biomass and spent media from algal cultivation system contaminated with heavy metals

2016 ◽  
Vol 19 ◽  
pp. 39-47 ◽  
Author(s):  
Katerine Napan ◽  
Karthik Kumarasamy ◽  
Jason C. Quinn ◽  
Byard Wood
Keyword(s):  
Heavy Metals ◽  
Cultivation System ◽  
Algal Cultivation ◽  
Contamination Levels ◽  
Spent Media

scholarly journals Ecological Indices of the Heavy Metals in the Soil of Shewasoor Sub-Basin, Kirkuk NE Iraq

2018 ◽  
Vol 3 (1) ◽  
Author(s):  
Mustafa Jamal Akbar ◽  
Omer Sabah Al-Tamimi
Keyword(s):  
Heavy Metals ◽  
Cancer Risk ◽  
Risk Index ◽  
Sediment Quality ◽  
Hazard Index ◽  
Soil Samples ◽  
Geochemical Background ◽  
Ecological Indices ◽  
Distribution Maps ◽  
Contamination Levels

The current research aimed to assess contamination levels in the soil of study area by heavy metals. Eight sites were selected for the collection of soil samples. The eight heavy metals namely As, Pb, Cd, Cr, Co, Cu, Ni, and Zn were analyzed in each soil samples by using ICP-MS technology. The measured concentrations of heavy metals were compared with Geochemical Background values, EPA Sediment Quality Guidelines, Ecological Screening values, and WHO Guidelines. The spatial distribution maps of ecological indices were performed using ArcGIS software (version 10.2), which provides an idea of the geographical distribution of heavy metals contamination levels in the soil of Shewasoor sub-basin. The soil contamination by heavy metals assessed using Potential Ecological Risk Index (RI), Nemerow Pollution Index (P_N), Hazard Index (HI), and Cancer Risk. The RI showed there are high risk of heavy metals in soil and according to P_N the soil has been moderate to severely contaminated by heavy metals. The hazard index of all soil samples was within acceptable range for adults and showed unacceptable risk for children. While the total cancer risk values of As and Cr were within acceptable limits, whereas of Pb, Cd, Co, and Ni were lower than acceptable risk range at all sites for adults and children. Ecological indices which are used to assess the contamination levels in the soil by heavy metals refers to the soil of study area was contaminated moderate to heavily by heavy metals, this attributed to the natural and anthropogenic pollution sources around and within the study area.

Effects on microbiomes and resistomes and the source-specific ecological risks of heavy metals in the sediments of an urban river

2020 ◽  
pp. 124472
Author(s):  
Yuezhao Li ◽  
Haiyang Chen ◽  
Liuting Song ◽  
Jin Wu ◽  
Wenchao Sun ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Urban River ◽  
Ecological Risks

scholarly journals Heavy metal contamination and ecological risk assessment of the agricultural soil in Shanxi Province, China

2020 ◽  
Vol 7 (10) ◽  
pp. 200538
Author(s):  
Hongxue Qi ◽  
Bingqing Zhao ◽  
Lihong Li ◽  
Xiuling Chen ◽  
Jing An ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Ecological Risk ◽  
Inductively Coupled Plasma ◽  
Agricultural Soil ◽  
Heavy Metal Contamination ◽  
Microwave Digestion ◽  
Risk Index ◽  
Shanxi Province ◽  
Ecological Risks ◽  
Geo Accumulation

To assess contamination levels and ecological risks of heavy metals in agricultural soil from Shanxi Province of China, a total of 33 samples in the surface soil were collected from 11 cities in Shanxi. The soil samples were digested by a mixed acid of nitric acid and hydrofluoric acid on a microwave digestion system, then the levels of eight heavy metals were analysed using an inductively coupled plasma mass spectrometer. The pollution levels of soil heavy metals were evaluated using a geo-accumulation index and their ecological risks were assessed using risk index calculated by Hakanson's method. As a result, the average concentrations of the heavy metals As, Cd, Cr, Cu, Hg, Ni, Pb and Zn were 12.9 ± 4.8, 0.35 ± 0.23, 43 ± 14, 27 ± 19, 0.25 ± 0.14, 21.7 ± 5.7, 17 ± 13 and 89 ± 53 mg kg −1 , respectively. By comparison to the Chinese soil environmental quality (GB15618-2018), only 9% of Cd samples and 3% of Cu samples exceeded their corresponding screening criteria. Subsequently, the results of geo-accumulation indices suggested that Shanxi's soil suffered from moderate to heavy contamination posed by Cd and Hg, and risk indices exhibited a similar trend that Cd and Hg were the main contributors for considerable to very high ecological risk. Finally, the analysis of variance indicated that the mean levels of Cd significantly occurred at Yuncheng areas among the 11 cities ( n = 3, p < 0.05), but Hg concentrations did not have significantly statistical differences. This study demonstrated that metals Cd and Hg had higher levels and ecological risks for agricultural soil in Shanxi, especially, Yuncheng City suffered from heavy Cd contamination. The findings of the present study will provide basic information on management and control of the agricultural soil contamination in Shanxi Province, China.

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