scholarly journals Concentrations, Spatial Distributions, and Sources of Heavy Metals in Surface Soils of the Coal Mining City Wuhai, China

2020 ◽  
Vol 2020 ◽  
pp. 1-10 ◽  
Author(s):  
Qingwei Bu ◽  
Qingshan Li ◽  
Handan Zhang ◽  
Hongmei Cao ◽  
Wenwen Gong ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Coal Mining ◽  
Heavy Metal Contamination ◽  
Interpolation Method ◽  
Kriging Interpolation ◽  
Natural Sources ◽  
Mining City ◽  
Kriging Interpolation Method ◽  
The Mean

Various studies have shown that soils surrounding mining areas are seriously polluted by heavy metals. In this study, 58 topsoil samples were systematically collected throughout the coal mining city Wuhai, located within the Inner Mongolia Autonomous Region of China. The concentrations of As, Hg, Cr, Ni, Cu, Zn, Cd, and Pb in these samples were measured and statistically analyzed. The mean concentrations of all heavy metals were lower than their Grade I values defined by the Chinese Soil Quality Standard. However, the mean concentrations of individual heavy metals in many samples exceeded their background values. The spatial distribution of heavy metals was analyzed by the ordinary kriging interpolation method. The positive matrix factorization model was used to ascertain contamination sources of the eight heavy metals and to apportion the contribution of each source. The most severely polluted area was the Wuhushan mine site in the Wuda district of Wuhai. Our results showed that coal mining strongly affected heavy metal contamination of the local soils. Results of source apportionment indicated that contributions from industrial activities, atmospheric deposition, agricultural activities, and natural sources were 31.3%, 26.3%, 21.9%, and 20.5%, respectively. This clearly demonstrates that anthropogenic activities have markedly higher contribution rates than natural sources to heavy metal pollution in soils in this area.

scholarly journals Heavy metal levels in cattle egrets (Bubulcus ibis) foraging in some abattoirs in Lagos State metropolis

2021 ◽  
Vol 45 (1) ◽  
Author(s):  
Elijah Abakpa Adegbe ◽  
Oluwaseyi Oluwabukola Babajide ◽  
Lois Riyo Maina ◽  
Shola Elijah Adeniji
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Metal Accumulation ◽  
Heavy Metal Contamination ◽  
Heavy Metal Accumulation ◽  
Bubulcus Ibis ◽  
Significant Difference ◽  
Metal Levels ◽  
Lagos State ◽  
The Mean

Abstract Background Heavy metal accumulation in the ecosystem constitutes a potential toxic effect which is hazardous to human health. Increasing environmental pollution has necessitated the use of cattle egrets to evaluate the levels of heavy metal contamination, to establish their use in biomonitoring of heavy metals and to provide data for monitoring pollution in the environment. Results The present study assessed the utilization of Bubulcus ibis in monitoring pollution in five abattoirs, namely Agege, Bariga, Kara, Itire and Idi-Araba, all situated in Lagos State. The concentration of five (5) heavy metals, cadmium (Cd), copper (Cu), nickel (Ni), lead (Pb) and zinc (Zn) was determined in the liver, muscle and feather of Bubulcus ibis using the atomic absorption spectrophotometer. The trend of metal accumulation was in the order: Zn > Cu > Pb > Cd > Ni for all the sampled tissues. The mean tissue concentrations of the metals were significantly different (p < 0.05) among the sites. The highest levels of metal concentration were reported in the liver in all the locations. Mean concentration of Cd in Kara (0.003 ± 0.00058) was significantly (p < 0.05) higher than those found at Agege (0.0013 ± 0.00058) and Idi-Araba (0.001 ± 0.001). A significant difference (p < 0.05) was also observed between the mean concentrations of Cu in Bariga (0.01 ± 0.001) and Idi-Araba (0.003 ± 0.001). Conclusion All the studied heavy metals were present in the liver, muscle and feathers of the cattle egrets. The contamination levels were ascertained from the study which indicated that cattle egrets are useful in biomonitoring studies and the generated data will serve as baseline data which could be compared with data from other locations for monitoring heavy metal pollution.

scholarly journals Study on Heavy Metal Contamination in High Water Table Coal Mining Subsidence Ponds That Use Different Resource Reutilization Methods

Water ◽  
2020 ◽  
Vol 12 (12) ◽  
pp. 3348
Author(s):  
Min Tan ◽  
Kun Wang ◽  
Zhou Xu ◽  
Hanghe Li ◽  
Junfeng Qu
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Coal Mining ◽  
Control Region ◽  
Metal Contamination ◽  
Heavy Metal Contamination ◽  
High Water ◽  
Aquaculture Pond ◽  
Coal Mining Subsidence ◽  
Resource Reutilization

Heavy metals accumulate in high water table coal mining subsidence ponds, resulting in heavy metal enrichment and destruction of the ecological environment. In this study, subsidence ponds with different resource reutilization methods were used as study subjects, and non-remediated subsidence ponds were collectively used as the control region to analyze the heavy metal distributions in water bodies, sediment, and vegetation. The results revealed the arsenic content in the water bodies slightly exceeded Class III of China’s Environmental Quality Standards for Surface Water. The lead content in water inlet vegetation of the control region and the Anguo wetland severely exceeded limits. Pearson’s correlation, PCA, and HCA analysis results indicated that the heavy metals at the study site could be divided into two categories: Category 1 is the most prevalent in aquaculture pond B and mainly originate from aquaculture. Category 2 predominates in control region D and mainly originates from atmospheric deposition, coal mining, and leaching. In general, the degree of heavy metal contamination in the Anguo wetland, aquaculture pond, and fishery–solar hybrid project regions is lower than that in the control region. Therefore, these models should be considered during resource reutilization of subsidence ponds based on the actual conditions.

scholarly journals Spatial variability and trends of the rain intensity over Greece

2010 ◽  
Vol 26 ◽  
pp. 65-69 ◽  
Author(s):  
H. D. Kambezidis ◽  
I. K. Larissi ◽  
P. T. Nastos ◽  
A. G. Paliatsos
Keyword(s):  
Confidence Level ◽  
Temporal Variability ◽  
Interpolation Method ◽  
Kendall Test ◽  
Kriging Interpolation ◽  
Spatial And Temporal Variability ◽  
Rain Intensity ◽  
Kriging Interpolation Method ◽  
Bartlett Test ◽  
The Mean

Abstract. In this study, the spatial and temporal variability of the mean annual rain intensity in Greece are examined during a 41-year period (1962–2002). The meteorological datasets concern monthly rain amounts (mm) and the respective monthly durations (h) recorded at thirty two meteorological stations of the Hellenic National Meteorological Service, which are uniformly distributed on Greek territory, in order to calculate the mean monthly rain intensity. All the rain time series used in the analysis were tested by the application of the short-cut Bartlett test of homogeneity. The spatial distribution of the mean annual rain intensity is studied using the Kriging interpolation method, while the temporal variability, concerning the mean annual rain intensity trends along with their significance (Mann-Kendall test), is analysed. The findings of the analysis show that statistically significant negative trends (95% confidence level) appear mainly in the west sub-regions of Greece, while statistically significant positive trends (95% confidence level) appear in the wider area of Athens and the complex of Cyclades Islands. Further analysis concerning the seasonal rain intensity is needed, because there are different seasonal patterns, taking into account that, convective rain in Greece occurs mainly within the summer season.

scholarly journals Heavy metal concentrations in vegetables cultivated and sold in Machakos Municipality, Kenya

2021 ◽  
Vol 24 (12) ◽  
pp. 2027-2034
Author(s):  
R.M. Tomno ◽  
L. Kitulu ◽  
J.K. Nzeve ◽  
F. Waswa ◽  
S.N. Mailu ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Heavy Metal Contamination ◽  
Public Awareness ◽  
Urban Stream ◽  
County Government ◽  
Human Consumption ◽  
Metal Concentrations ◽  
Heavy Metal Concentrations ◽  
The Mean

Heavy metal contamination of vegetables is a key aspect of food quality assurance since vegetables form a substantial proportion of the daily human diet. Health risks in urban populations due to exposure to heavy metals are on the increase because of the consumption of vegetables irrigated with wastewater. This study analyzed the concentration of Cd, Cu, Pb, Zn and Cr in spinach and kales grown using contaminated water of the Mitheu urban stream and those sold within Machakos municipality. Vegetable samples were collected once per month for a period of four months starting from June to September 2019. The mean heavy metal concentrations obtained were0.013 – 3.19 mg/kg, 0.468 – 1.706 mg/kg, 0.02 – 0.368 mg/kg, 5.78 – 26.7 mg/kg, and 0.104 – 14.0 mg/kg for Cd, Cu, Pb, Zn and Cr respectively in kale samples from the different sampling sites. The heavy metal mean concentrations in spinach were 0.055 – 0.575 mg/kg, 3.79 – 5.55 mg/kg, 0.098 – 1.49 mg/kg, 8.32 – 20.7 mg/kg and 0.368 – 4.43 mg/kg for Cd, Cu, Pb, Zn and Cr respectively. The mean concentrations of Cd, Pb, Zn and Cr in both spinach and kales in some of the sampling sites were above WHO permissible levels for heavy metals in vegetables for human consumption. However, the mean concentration of Cu was below WHO recommended levels. Consumption of these vegetables therefore poses a health risk to the consumers. There is need to create public awareness on the dangers of consuming contaminated vegetables. Additionally, measures to curb heavy metal pollution in Mitheu stream should be taken by the County Government of Machakos.

scholarly journals Heavy Metal Contamination in Farm and Urban Soil in Mymensingh

2013 ◽  
Vol 5 (2) ◽  
pp. 81-84
Author(s):  
AHMM Morshed ◽  
MA Farukh ◽  
MA Sattar
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Organic Matter ◽  
Crop Production ◽  
Urban Soils ◽  
Heavy Metal Contamination ◽  
Organic Matter Content ◽  
Fe And Mn ◽  
The Mean ◽  
Farm Soils

A study was carried out to determine the status of heavy metals in farm and urban soils from intensively growing areas of Mymensingh. Sixty three soil samples were collected from 11 upazillas of Mymensingh. From these samples total amount of heavy metals like Pb, Cd, Ni, Cr, Fe and Mn were tested. The soils were also analyzed for texture, pH and organic matter content. The mean concentrations of Pb, Cd, Ni, Cr, Fe and Mn in farm soils were 19.64, 0.32, 39.80, 14.10, 1800.40, 135.66 ?g g-1, respectively and the mean concentrations of above metals in urban soils were 20.93, 0.37, 36.90, 28.85, 1810.08, 127.05 ?g g-1, respectively. The heavy metal concentrations in farm soils were within the limit allowed for maximum acceptable concentration for satisfactory crop production. Heavy metals in urban soils were also below the limit considered as contaminated soil. Most of the heavy metals in both farm and urban soils were negatively correlated with sand and positively correlated with silt. There was no significant correlation between heavy metal content and soil pH or organic matter in both farm and urban soils with very few exceptions. Most of the heavy metals did not show any significant correlation with each other expect Fe which showed significant correlation with Pb, Ni, Cr, Mn and Cd for both farm and urban soils.DOI: http://dx.doi.org/10.3329/jesnr.v5i2.14798 J. Environ. Sci. & Natural Resources, 5(2): 81-84 2012

A New Prediction Method of Soil Pollution

2014 ◽  
Vol 908 ◽  
pp. 387-391
Author(s):  
Ze Yuan Yu ◽  
Xiao Lin Chen ◽  
Zhi Tao Qiu
Keyword(s):  
Soil Pollution ◽  
Urban Areas ◽  
Heavy Metal Contamination ◽  
Interpolation Method ◽  
Prediction Method ◽  
New Method ◽  
Kriging Interpolation ◽  
Validation Data ◽  
Data Set ◽  
Kriging Interpolation Method

A new method for predicting soil pollution with lead pollution in a city as the research object is established. We use this particular method and the Kriging Interpolation method to simulate the spatial distribution of heavy metals in soil. Select the 20 sampling points as the cross-validation data set. Compare and analyze two kinds of interpolation methods. The results showed that: the new method is more suitable for urban areas contaminated with mutations since it has high prediction accuracy there. Analysis of soil with heavy metal contamination soil is premise of soil remediation and ecological restoration. Research results possess significant values for theories which choose different interpolation simulation methods according to different purposes.

A brief Survey of Assessment models to Predict stress Level of Heavy Metals in Soils

2020 ◽  
Vol 13 ◽  
Author(s):  
Sangeetha Annam ◽  
Anshu Singla
Keyword(s):  
Economic Growth ◽  
Heavy Metals ◽  
Heavy Metal ◽  
Ecological Risk ◽  
Stress Level ◽  
Metal Contamination ◽  
Heavy Metal Contamination ◽  
Human Life ◽  
High Stress ◽  
Heavy Metal Stress

Abstract: Soil is a major and important natural resource, which not only supports human life but also furnish commodities for ecological and economic growth. Ecological risk has posed a serious threat to the ecosystem by the degradation of soil. The high-stress level of heavy metals like chromium, copper, cadmium, etc. produce ecological risks which include: decrease in the fertility of the soil; reduction in crop yield & degradation of metabolism of living beings, and hence ecological health. The ecological risk associated, demands the assessment of heavy metal stress levels in soils. As the rate of stress level of heavy metals is exponentially increasing in recent times, it is apparent to assess or predict heavy metal contamination in soil. The assessment will help the concerned authorities to take corrective as well as preventive measures to enhance the ecological and hence economic growth. This study reviews the efficient assessment models to predict soil heavy metal contamination.

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