scholarly journals Spatial Distribution Characteristics of Heavy Metals in Surface Soil of Xilinguole Coal Mining Area Based on Semivariogram

2021 ◽  
Vol 10 (5) ◽  
pp. 290
Author(s):  
Guoqing Chen ◽  
Yong Yang ◽  
Xinyao Liu ◽  
Mingjiu Wang
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Surface Soil ◽  
Environmental Control ◽  
Random Effect ◽  
Mining Area ◽  
Scientific Basis ◽  
Coal Mining Area ◽  
Spatial Differences ◽  
Heavy Metal Pollutants

Heavy metal pollution is a major environmental problem facing humankind. Locating the source and distribution of heavy metal pollutants around mines can provide a scientific basis for environmental control. The structure effect and random effect of a semivariogram can be used to determine the reason for spatial differences in the heavy metal content in surface soil, and the coefficient of variation and regression analysis can be used to confirm that the verification accuracy meets the geostatistical requirements. According to the maximum difference method, the content of heavy metals in the surface soil of the mining area is higher than that of the surroundings, and Cu and Zn levels are higher than the background values for Inner Mongolia. In the present case, Zn,

scholarly journals Research on heavy metal level and co-occurrence network in typical ecological fragile area

2021 ◽  
Author(s):  
Yiwei Zhao ◽  
Liangmin Gao ◽  
Fugeng Zha ◽  
Xiaoqing Chen ◽  
Xiaofang Zhou ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Human Factors ◽  
Human Life ◽  
Mining Area ◽  
Parent Material ◽  
Control Value ◽  
Pollution Levels ◽  
Soil Parent Material ◽  
Sampling Points

AbstractDue to the special sensitivity of typical ecologically fragile areas, a series of human life, mining, and other activities have a greater impact on the environment. In this study, three coal mines in Ordos City on the Loess Plateau were selected as the study area, and the pollution levels of heavy metals in the area were studied by measuring As, Hg, Cr, Cd, Cu, Ni, and Pb in the soil of 131 sampling points. Combined with the concept of “co-occurrence network” in biology, the level of heavy metals in soil was studied using geostatistics and remote sensing databases. The results showed that the concentrations of Hg, Cr, Ni, Cu, and Pb in more than half of the sampling points were higher than the local environmental background value, but did not exceed the risk control value specified by China, indicating that human factors have a greater influence, while Cd and As elements are mainly affected Soil parent material and human factors influence. Heavy metal elements have nothing to do with clay and silt but have an obvious correlation with gravel. Cd, Pb, As and Ni, Cd, Cr are all positively correlated, and different heavy metals are in space The distribution also reflects the autocorrelation, mainly concentrated in the northeast of the TS mining area and the middle of the PS mining area.

scholarly journals Heavy metal composition of maize and tomato grown on contaminated soils

2018 ◽  
Vol 3 (1) ◽  
pp. 414-426
Author(s):  
A.O. Adekiya ◽  
A.P. Oloruntoba ◽  
S.O. Ojeniyi ◽  
B.S. Ewulo
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Contaminated Soils ◽  
Heavy Metal Contamination ◽  
Mining Area ◽  
Atomic Absorption Spectrophotometry ◽  
Toxic Heavy Metals ◽  
Mining Site ◽  
Solanum Lycopersicum L ◽  
Sources Of Pollution

Abstract The study investigated the level of heavy metal contamination in plants {maize (Zea mays) and tomato (Solanum lycopersicum L.)} from thirty soil samples of three locations (Epe, Igun and Ijana) in the Ilesha gold mining area, Osun State, Nigeria. Total concentrations of As, Cd, Co, Cr, Cu, Ni, Pb and Zn were determined using atomic absorption spectrophotometry. Spatial variations were observed for all metals across the locations which was adduced to pH and the clay contents of the soils of each location. The results showed that heavy metals are more concentrated in the areas that are closer to the mining site and the concentrations in soil and plants (maize and tomato) decreased with increasing perpendicular distance from the mining site, indicating that the gold mine was the main sources of pollution. The mean concentrations of heavy metals in plants (tomato and maize) samples were considered to be contaminated as As, Cd and Pb respectively ranged from 0.6 - 2.04 mg kg-1, 0.8 - 5.2 mg kg-1, 0.8 - 3.04 mg kg-1 for tomato and respectively 0.60 - 2.00 mg kg-1, 1.50 - 4.60 mg kg-1 and 0.90 - 2.50 mg kg-1 for maize. These levels exceeded the maximum permissible limits set by FAO/WHO for vegetables. In conclusion, monitoring of crops for toxic heavy metals is essential for food safety in Nigeria.

scholarly journals The Effect of Heavy Metal Pollutants on Bioluminescence Intensity of Luminous Mushrooms (Nenothopanus sp)

2020 ◽  
Vol 21 (2) ◽  
pp. 98-109
Author(s):  
Witriani Marvinatur Ihsan ◽  
Ratnawulan Ratnawulan
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Heavy Metal Concentration ◽  
Maximum Intensity ◽  
Coastal Forest ◽  
Metal Pollutants ◽  
Heavy Metal Concentrations ◽  
Measurement Results ◽  
West Sumatra ◽  
Heavy Metal Pollutants

In the South Coastal Forest area, West Sumatra, a luminous mushroom with the species Neonothopanus Sp. This research was conducted with the aim of seeing the effect of heavy metals on the bioluminescence reaction of luminous mushrooms. Starting from the effect of heavy metal concentrations on the intensity and inhibition coefficient of luminous mushroom biolumination. From the measurement results, the maximum intensity value of luminous mushrooms is 499.6 au occurring at a wavelength of 505 nm. At a wavelength of 505 nm, visible light is produced in green. The results obtained are in accordance with observations, because the light emitted by the glowing mushroom is green. If the concentration of heavy metals is greater, the intensity of the bioluminescent fungus (Neonothopanus sp) will decrease. The type of heavy metal affects the intensity of the fungus biolumination. The greatest decrease in intensity occurred in copper (Cu) and iron (Fe), zinc (Zn) and lead (Pb). If the heavy metal concentration is greater, the inhibition coefficient will be smaller. The greatest inhibition coefficient due to the presence of heavy metals occurs in copper (Cu) then iron (Fe), zinc (Zn) and the smallest is lead (Pb).

A Fuzzy Cluster Algorithm of Heavy Metal City Topsoil Pollution

2013 ◽  
Vol 830 ◽  
pp. 341-344
Author(s):  
Jun Jun Du ◽  
Sheng Ping Jin ◽  
Qiong Li ◽  
She Sheng Zhang
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Fuzzy Clustering ◽  
Clustering Algorithm ◽  
Fuzzy Ahp ◽  
Science Research ◽  
Fuzzy Cluster ◽  
Metal Pollutants ◽  
Fuzzy Cluster Algorithm ◽  
Heavy Metal Pollutants

Consider heavy metal pollution of topsoil in the city of world today is a hot science research project. A fuzzy clustering algorithm l is constructed ed by analyzing the propagation characteristics of heavy metal pollutants. Considering topography, areas, factories, roads, , irredentist, etc. we calculate a evaluation on comprehensive pollution, and the degree of heavy metals pollution, by using fuzzy clustering and fuzzy AHP. The results show that the index of the comprehensive pollution of heavy metals on the region, and the weight of pollution of each category.

scholarly journals Numerical Evaluation and Management Suggestions for Heavy Metal Pollution Risks in a Sludge Landfill: A Case Study from Fuyong Landfill, Shenzhen, China

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Muyun Sun ◽  
Kaiyuan He ◽  
Shi Shu
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Pore Water ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Rainfall Infiltration ◽  
Metal Concentrations ◽  
Metal Pollutants ◽  
Heavy Metal Concentrations ◽  
Heavy Metal Pollutants

Despite the extensive attention paid to the transport of heavy metals in sludge landfills, the processes of transporting these pollutants from a landfill to the underground environment are quite complicated and subject to significant uncertainty. In this study, the transport of typical heavy metal pollutants in a sludge landfill through saturated and unsaturated soil zones during rainfall was investigated via numerical modeling. The objectives of the study are to evaluate the heavy metal pollution risk from a sludge landfill under rainfall infiltration conditions and to propose several management suggestions. The results indicate that, during rainfall, heavy metal concentrations at the top of the unsaturated sludge layer decrease rapidly, but they decrease more gradually at the bottom of the layer. The maximum concentration appears in vertical distribution and decreases gradually through the saturated zone. Nickel is the first heavy metal pollutant to break through the low-permeability natural silt barrier. The transport parameters not only influence the simulated time for heavy metal pollutants to break through the silt layer and cause underground environmental pollution but also affect the extent to which the heavy metal pollutants in pore water exceed the guidelines. On the basis of these results, for dredged sludge with heavy metal concentrations significantly exceeding the standard, the concentration of heavy metals in pore water should be reduced before the sludge is landfilled, and a covering layer should be established on the sludge surface to control rainfall infiltration.

Numerical Modeling of Heavy Metal Pollution in the Rivers

2020 ◽  
Author(s):  
maryam khalilzadeh poshtegal ◽  
Mojtaba Noury ◽  
seyed ahmad mirbagheri
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Basic Principles ◽  
Transport And Transformation ◽  
Metal Pollutants ◽  
Heavy Metals Pollution ◽  
Fluid Transfer ◽  
Heavy Metal Pollutants

<p><strong>Abstract: </strong>Based on the deep studies of existing mathematical models, a mathematical model that expresses the dynamic of transport and transformation of heavy metals in the rivers has been presented. In this model, the basic principles of chemistry in the environment, hydraulic and fluid transfer dynamics have been used as well as recent studies of researchers. The effects of sediment on the transfer and evolution of heavy metals pollution can be investigated by the proposed models. For example, the evolution and transport of heavy metal pollutants in a steady state flow containing sediment are studied using the present model. The results of theoretical analysis and calculations show that transport and transformation of heavy metal pollution in sediment laden flows, not only have common characteristics of general pollutant but also have features of transport and transformation induced by the movement of sediments.</p><p><strong>Keywords:</strong> Numerical Simulation; Heavy Metal; Pollution; Sediment; Finite Difference Method.</p>

Spatial Structure Features and Distributing Rules of Soil Heavy Metal Concentrations of Antimony Mining Area

2012 ◽  
Vol 253-255 ◽  
pp. 1063-1068
Author(s):  
Bo Zhi Ren ◽  
Yi Zhou ◽  
Zhou Hong Tao ◽  
Lu Jing Cheng
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Spatial Structure ◽  
Influence Factors ◽  
Theoretical Models ◽  
Mining Area ◽  
Hunan Province ◽  
Metal Concentrations ◽  
Heavy Metal Concentrations ◽  
Gis Tools

The spatial structure features and distributing rules of six heavy metals of antimony mining area, Cr, Cu, Ni, Zn, As, Cd and their main influence factors were researched using geostatistics combined with GIS tools. The results showed that: six kinds of heavy metal elements presented lognormal distribution. The mean of six kinds of heavy metal concentrations were higher than soil background value of Hunan province. Cd, Zn and Pb have a good correlation with each other, but the correlation between the rest elements was not obvious. The semivariogram theoretical models of six heavy metals in the study area were well fitted. The concentrations of Sb, As, Zn and Cd exhibited strong spatial autocorrelations, whereas the concentrations of Hg and Pb presented moderate spatial autocorrelations. The production activities of antimony smelter and dressing plant within the study area were the main factors for the high heavy metal concentrations of the study area.

scholarly journals Preliminary Study of Heavy Metal (Zn, Pb, Cr, As, Cu, Cd) Contaminations on Different Soil Level from Post-Mining Bauxite Production for Aquaculture

2018 ◽  
Vol 47 ◽  
pp. 02008
Author(s):  
Risandi Dwirama Putra ◽  
Tri Apriadi ◽  
Ani Suryanti ◽  
Henky Irawan ◽  
Tengku Said Raja'I ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Grain Size ◽  
Negative Impact ◽  
Fine Sand ◽  
Mining Area ◽  
Grain Size Analysis ◽  
Size Analysis ◽  
The Mean ◽  
Soil Level

Bauxite production and exploration give negative impact environmental modification and increasing concern pollution of heavy metals. One of an alternative to reduce the negative impact of bauxite post-mining production is by re-utilizing the abandoned bauxite land and necessary exploratory study to obtain the current environmental conditions primarily related to heavy metals in bauxite mining area. Soil and water quality samples from 5 (five) sites based on post-mining activities were used to determine concentration heavy metals of As, Cd, Pb, Zn, Cr, Cu from different soil level. They were also collected for grain size analysis including those of sand and mud percentages along with the mean, and sorting analysis. The mean grain size post-mining bauxite ranged between very fine sand to medium sand and had heterogeneous texture. The coarse grain size percentage increased towards the bottom of the soil. Total heavy metal contents for post-mining bauxite soils are 0,081 ppm, 0,245 to 0,471 ppm and 0,007 ppm for As, Pb and Cd respectively. Heavy metals for Cd, uniformly at every depth from soil level. On the other hand, Pb showed significance pattern, it was indicated every depth from soil level, the concentration of Pb was different.

Sign in / Sign up

Export Citation Format

Share Document