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 Entropy-Cloud Model of Heavy Metals Pollution Assessment in Farmland Soils of Mining Areas

2016 ◽  
Vol 25 (3) ◽  
pp. 1315-1322 ◽  
Author(s):  
Juan Yang ◽  
Haorui Liu ◽  
Xuedou Yu ◽  
Zhixuan Lv ◽  
Fenghua Xiao
Keyword(s):  
Heavy Metals ◽  
Cloud Model ◽  
Pollution Assessment ◽  
Mining Areas ◽  
Metals Pollution ◽  
Farmland Soils ◽  
Heavy Metals Pollution

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.

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.

scholarly journals Anthropic Radioactive Pollution in Romania

2019 ◽  
Vol 25 (3) ◽  
pp. 185-189
Author(s):  
Ioan Zaharie ◽  
Mircea Goloşie
Keyword(s):  
Heavy Metals ◽  
Radioactive Waste ◽  
Food Contamination ◽  
Abandoned Mines ◽  
Contaminated Sites ◽  
Radioactive Pollution ◽  
Radioactive Materials ◽  
Mining Areas ◽  
Industrial Buildings ◽  
Chemical Wastes

Abstract The paper presents some conclusions regarding the identification, processing and monitoring of sites contaminated with heavy and radioactive metals. The following categories of sites have been researched: abandoned mining areas, industrial perimeters for the processing of alloys containing radioactive metals, chemical wastes from the chemical fertilizer industry, railways and run- ways that serve to locate radioactive ores, military sites with forgotten radioactive waste, abandoned mines in which chemical and radioactive materials have been deposited, civil and industrial buildings where radioactive materials were used, tourist resorts affected by anthropic and entropic pollution, cases of radioactive floods and heavy metals from food, contamination of external geographic causes. The research includes the results related to the identification, processing and monitoring of the data of more than 350 contaminated sites.

scholarly journals The content of copper and heavy metals in the multilayer soil mud from the Buchim lake under the Buchim mine's waste dump, Republic North Macedonia

Tehnika ◽  
2020 ◽  
Vol 75 (4) ◽  
pp. 297-304
Author(s):  
Todor Serafimovski ◽  
Goran Tasev ◽  
Trajce Stafilov
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Porphyry Copper ◽  
Contamination Factor ◽  
Pollution Load Index ◽  
Pollution Load ◽  
Mining Areas ◽  
Target Value ◽  
Standard Values ◽  
Almost All

The intense mineral extraction in mining areas during the last several decades has produced a large amount of waste material and tailings, which release toxic elements to the environment. The aim of the study was to determine in two vertical profiles/sections (1 and 2) the heavy metal contents of samples derived from six samples, three from each section located in the porphyry copper mine Buchim area, Republic North Macedonia. The results have been compared to new Dutchlist (DL) and Kabata-Pendias (KP) standards and the following was concluded: As values ranged 14.985÷60.131 mg kg-1 with 4 samples above the target value of the DL (29 mg kg-1 As) and 6 above standard values given in KP value (5 mg kg-1 As), in that context Co values ranged 11 ÷57 mg kg-1 with 6 values above the target value of the DL (9 mg kg-1 Co) and 5 above standard values given in KP value (12 mg kg-1 Co), Cr with range 29.32÷75.76 mg kg-1 with 6 over KP value (10 mg kg-1 Cr) and none above the target value of the DL (100 mg kg-1 Cr), Cu with range 2694÷6749 mg kg-1 with 6 samples above the target value of the DL (36 mg kg-1 Cu) and 6 above standard values given in KP value (20 mg kg-1 Cu), Ni with range 59.57÷105.98 mg kg-1 with 6 samples above the target value of the DL (35 mg kg-1 Ni) and 6 above standard values given in KP value (20 mg kg-1 Ni), Pb with range 27.06 ÷96.08 mg kg-1 with 1 sample above the target value of the DL (85 mg kg-1Pb) and 6 above standard values given in KP value (25 mg kg-1Pb), Zn with range 147÷273 mg kg-1 with 6 over target value of the DL (140 mg kg-1 Zn) and 6 above standard KP value (64 mg kg-1 Zn), V with range 34.44÷92.57 mg kg-1 with 5 over target value of the DL (42 mg kg-1 V) and one above KP value (90 mg kg-1 V).In order to compare the level of contamination, the contamination factor (𝐶𝑓 𝑖 ), degree of contamination (Cd), and pollution load index (PLI) were computed. Serious numbers were found for Cu, as, Zn, Co and Ni, which exceeded standard values at almost all samples from both vertical sections. Compared from section 1 and section 2, pollution load index increased by 13.43%, which in almost all samples was classified as heavily polluted to extremely polluted. The fact that mining activities at the Buchim Mine last for almost 40 years, the presence of heavy metals in soils at a serious level is understandable. The high level of contamination is a result of heavy metal persistence and non-biodegradability.

Source apportionment of heavy metal pollution in farmland soils on a regional scale using geographically weighted PCA

2021 ◽  
Author(s):  
Liu Shuyi ◽  
Gao Bingbo
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Source Apportionment ◽  
Rapid Development ◽  
Regional Scale ◽  
Analytical Framework ◽  
Pollution Sources ◽  
Entire Study ◽  
Soil Heavy Metals ◽  
Farmland Soils

<p>Source apportionment of soil heavy metals is an challenge and urgent work as the result of the rapid development of industrialization and urbanization. The common approach is multivariate statistical analysis, such as PCA and APCS/MLR, which infers only a single pattern of sources of heavy metals in entire study area. Due to complicated pathways and processes, patterns of pollution sources in a whole region may include two or more. Hence, we developed an analytical framework based on GWPCA to explore multiple patterns of sources of soil heavy metals on a regional scale. Xiangtan county, an important grain-producing area in China, was taken as a case study, which suffers the problem of heavy metal pollutions. Our results revealed the pollution situations of five soil heavy metals(Pb, Cd, As, Cr and Hg) in farmland soils and suggested that there exists various pollution patterns of these heavy metals in Xiangtan county. In each pattern, the structure of contamination sources is different. Our study also indicates that the analytical framework considering the spatial heterogeneity of pollution sources can help take more precise practices to solve this vital problem.</p> <p> </p>

Assessing the Existing Vegetation Around Abandoned Mining Areas With Potentially Toxic Heavy Metals

2021 ◽  
pp. 14-31
Author(s):  
José Manuel Naranjo Gómez ◽  
José Cabezas Fernández ◽  
Rui Alexandre Castanho ◽  
Carlos José Pinto Gomes
Keyword(s):  
Heavy Metals ◽  
Geographic Information Systems ◽  
Geographic Information ◽  
Geospatial Analysis ◽  
Abandoned Mines ◽  
Toxic Heavy Metals ◽  
Mining Areas ◽  
Geospatial Database ◽  
Thematic Cartography ◽  
Physical Consequences

In abandoned mining areas, heavy metals may exist. Those heavy metals can cause physical consequences and death. Through the use of geographic information systems (GIS), the environmental diagnosis of vegetation potentially affected by the presence of very toxic heavy metals in abandoned mining areas in Extremadura was conducted. Initially, graphic and alphanumeric information was obtained from numerous sources, and the geospatial database generated was analyzed, allowing the location of abandoned mines. Subsequently, the mines were classified according to the degree of toxicity of the heavy metals that had been exploited. Then, taking into account the mines whose heavy metals were considered very toxic, a geospatial analysis was performed using concentric buffers at 1, 5, 10, 20, 40, and 60 kilometres. The results obtained made it possible to obtain thematic cartography representative of the areas potentially affected. The proportion of vegetation potentially affected, has been classified according to the existing vegetation series and climatic belts.

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