scholarly journals Factors That Determine the Sorption of Mineral Elements in Soils and Their Impact on Soil and Water Pollution

Minerals ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 821
Author(s):  
Gerhardus Petrus Nortjé ◽  
Michiel Christiaan Laker

Soil is an essential ecosystem, delivering valuable services such as the provision of food, energy and raw materials, carbon sequestration, water purification and infiltration, nutrient regulation, pest control and recreation. Therefore, soil is crucial for fighting climate change, protecting human health, safeguarding biodiversity and ecosystems and ensuring food security. Pollution of the soil by organic and inorganic substances is, therefore, detrimental to ecosystem services and/or human health. Heavy metals at harmful concentrations are highly detrimental, and here, mining activities are one of the main sources of soil pollution. According to studies conducted, some of the major soil factors affecting mineral (including P) sorption are time, soil pH, soil organic matter and iron and aluminum oxides of soils. This paper looks at sources of mineral element pollution, including heavy metals, as heavy metals are toxic to all living organisms, including humans. This paper also reviews both cationic heavy metals and inorganic anionic pollutants, such as phosphate and arsenic, as well as cationic, non-heavy-metal pollutants such as nitrogen and potassium.

2020 ◽  
Vol 9 (1) ◽  
pp. 736-750
Author(s):  
Xilu Chen ◽  
Xiaomin Li ◽  
Dandan Xu ◽  
Weichun Yang ◽  
Shaoyuan Bai

AbstractChromium (Cr) is a common toxic heavy metal that is widely used in all kinds of industries, causing a series of environmental problems. Nanoscale zero- valent iron (nZVI) is considered to be an ideal remediation material for contaminated soil, especially for heavy metal pollutants. As a material of low toxicity and good activity, nZVI has been widely applied in the in situ remediation of soil hexavalent chromium (Cr(vi)) with mobility and toxicity in recent years. In this paper, some current technologies for the preparation of nZVI are summarized and the remediation mechanism of Cr(vi)-contaminated soil is proposed. Five classified modified nZVI materials are introduced and their remediation processes in Cr(vi)-contaminated soil are summarized. Key factors affecting the remediation of Cr(vi)-contaminated soil by nZVI are studied. Interaction mechanisms between nZVI-based materials and Cr(vi) are explored. This study provides a comprehensive review of the nZVI materials for the remediation of Cr(vi)-contaminated soil, which is conducive to reducing soil pollution.


2020 ◽  
Vol 21 (2) ◽  
pp. 98-109
Author(s):  
Witriani Marvinatur Ihsan ◽  
Ratnawulan Ratnawulan

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).


2013 ◽  
Vol 830 ◽  
pp. 341-344
Author(s):  
Jun Jun Du ◽  
Sheng Ping Jin ◽  
Qiong Li ◽  
She Sheng Zhang

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.


2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Muyun Sun ◽  
Kaiyuan He ◽  
Shi Shu

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.


2020 ◽  
Author(s):  
maryam khalilzadeh poshtegal ◽  
Mojtaba Noury ◽  
seyed ahmad mirbagheri

<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>


2012 ◽  
Vol 5 ◽  
pp. ASWR.S10081 ◽  
Author(s):  
Achour Louhi ◽  
Atika Hammadi ◽  
Mabrouka Achouri

This study was conducted in order to fight against pollution of the environment. The study concerns river sediment of the Seybouse River in northeastern Algeria. Northeastern Algeria is known for its various industries (steel, fertilizer, metal processing, etc), and the sediment deposited by the Seybouse River, is probably polluted by heavy metals. For this study, we used two protocols of digestion of sediments, the first, using a mixture of hydrofluoric acid and perchloric acid, and the second, using aqua regia. The comparison of these two protocols will help us to find the best solubilization and thus facilitate the extraction and determination of heavy metals in sediment. Before determining the concentration of some heavy metals (Fe, Zn, Mn, Sn, Ni, Cr, Pb and Cu), we first analyzed parameters of sediments such as pH and organic matter. We used atomic absorption spectrometry (AAS) to measure these heavy metals. The functional groups characteristic of organic matter and particularly clays were identified by infrared spectroscopy. The average concentrations of metals exceeded acceptable standards for sediment pollution with heavy metals. Maximum concentrations in mg/kg respectively of the elements studied (Fe, Zn, Mn, Sn, Ni, Cr, Pb and Cu) were, respectively, 2460.20 ± 74.8; 1140.65 ± 38.2; 3.60 ± 1.2; 1.20 ± 0.5; 16.80 ± 2.6; 9.50 ± 3.2; 476.31 ± 21.6 and 145.15 ± 35.2. These results clearly show that the sediments deposited by the Seybouse River are heavily polluted.


2021 ◽  
Vol 77 (1) ◽  
pp. 76-84
Author(s):  
Amany Madkour ◽  
Mahmoud Dar

  Biosorption is the most favourable technique for the treatment of heavy metals as it is fast, powerful, and low cost, it takes place in a wide range of temperatures as well as it can be used for almost all types of heavy metals. In this study, the biosorption technique adsorbs Cu2+ and Zn2+ on the dried macroalgae (Halimeda opuntia and Turbinaria turbinata) in a batch system. Experimental parameters affecting the biosorption process are initial metal ion concentrations (5, 10, 15 and 25 mg/L), pH between (4.5 and 5.2), biomass dosage (1 gm) and agitation speed 150 rpm applied at contact time (30, 60 and 120 min). The significant-high average removals of Cu2+ by H.opuntia (> 96%) were recorded in concentrations of 10, 15 and 25 ppm at 120 min and the highest average removals by T.turbinata (81.07%, 78.32% and 74.7%) were recorded in concentrations of 5, 10 and 15 ppm at 120 min. The lowest average removal of Cu2+ 89.22% was recorded by H.opuntia and 49.9% was recorded by T.turbinata in a concentration of 25 ppm at 30 min. In the same way, significant-high average removals (>94%) were recorded in a concentration of 10 ppm at 120 min for H.opuntia and in a concentration of 5 ppm by at 60 min for T.turbinata. In conclusion, the dead biomass of marine algae can provide a promising and low-cost technique for removing heavy metal pollutants in medical industries.


2021 ◽  
Vol 2 (11 (110)) ◽  
pp. 41-49
Author(s):  
Alina Tkachenko ◽  
Lyudmila Guba ◽  
Yulia Basova ◽  
Elena Goryachova ◽  
Ivan Syrokhman

In order to improve the mineral, vitamin composition, and nutritional value of flour confectionery products, new recipes for the "Flori" and "Janet" cookies baked from organic raw materials have been devised. Fully organic raw materials are used in the formulations of both products. The composition of cookies includes spelt flour, cornflour, coconut sugar, butter, dry coconut milk, sea buckthorn oil, hemp oil, lemon balm powder. The organoleptic assessment of cookies was conducted according to a 50-point scale developed by the authors of this paper. The developed samples ranked high on the tasting score: "Flori" (48.12) and "Janet" (49.25). The fat content was decreased in both samples; in the "Flori" sample ‒ by 0.9 g/100 g, and in the "Janet"  sample ‒ by 1.2 g/100 g. The protein content increased in the samples, especially in the "Flori" cookies ‒ by 2.3 g/100 g. The "Janet" cookie sample demonstrated the lowest energy value of 380.50 kcal/100 g. The samples were distinguished by the low content of mercury, cadmium, and arsenic. The content of all mineral elements except for sodium increased in the developed biscuits. The potassium content increased by 2.34 times in the "Flori" biscuits and by 2.29 times in the "Janet" biscuits. The calcium content in the "Flori" cookies increased by 3.13 times, in the "Janet" cookies ‒ by 3.64 times. The content of manganese in both samples increased noticeably. Consuming the developed organic cookies makes it possible to increase the level of meeting the human body's requirements for macro- and microelements. The Ishikawa method was used to identify the main factors affecting the safety of cookies. A flowchart of cookie production was drawn up; the critical points were identified. These include the acceptance inspection of raw materials, heat treatment. The data obtained can be used by the confectionery industry to expand the range of organic products.


2021 ◽  
Author(s):  
◽  
Andrea Tuohy

<p>Global industrialization has led to emissions of heavy metal pollutants that are transported to the most remote areas of the planet. Elevated concentrations of heavy metals are ecological toxins in soils, water, and air. Monitoring has only been implemented during the last few decades with anthropogenic emissions superimposed over natural sources. Furthermore, most monitoring programs generally target local sources of emissions near cities rather than large-scale impacts. Thus quantifying safe limits and controlling industrial emissions is complicated by a lack of knowledge about natural sources and variability on regional, hemispheric, and global scales. New baseline studies are needed to determine i) natural background concentrations of heavy metals, ii) contributions of anthropogenic emissions, and iii) the degree to which atmospheric transport affects background heavy metal concentrations. Due to the remoteness of Antarctica, ice cores can be used as sensitive recorders of background heavy metal atmospheric concentrations over thousands of years. This provides the opportunity to determine natural variability and contributions to the atmosphere on a hemispheric scale, as well as dating the onset of anthropogenic emissions.  This thesis presents a 2,300-year time-series record of six heavy metals from a new high-resolution coastal ice core from the Ross Sea region of Antarctica. Roosevelt Island is an ice dome located in the north-eastern Ross Ice Shelf, and a 763m deep ice core was collected over two field seasons as part of the Roosevelt Island Climate Evolution (RICE) project. In addition to 31 other trace elements, concentrations of iron, aluminium, manganese, lead, arsenic, and thallium were measured using inductively coupled plasma mass spectrometry (ICPMS) in the RICE ice core, snow pit, and snow precipitation samples. Sample resolution over the 20th century is extremely high (~1.6 months per sample), with ~four-year resolution extending the record back to 2,300 years ago.  We use this record to first determine the representativeness of the RICE ice core to Southern Hemisphere atmospheric concentrations of heavy metals, and find that concentrations in snow precipitation are strongly linked to meridional air mass pathways from the South Pacific. Local deposition characteristics and heavy metal seasonality are also examined in the surface snow. The natural sources and variability of the six heavy metals are explored through the last ~2,000 years, and this provides the context for examining changes over the 20th century. We find that iron, aluminium, and manganese are strongly associated with crustal dust and do not exhibit source changes over the 20th century, though significant increases in concentration may be due to anthropogenically induced increases in atmospheric dust. Even when increased variability due to recent increased efficiency of atmospheric transport is taken into account, the change in source emission strength dominates the concentration increases in these elements recorded in the RICE ice core. Thallium concentrations do not increase over the 20th century, and are likely linked to local volcanism. Both lead and arsenic concentrations increase significantly over the 20th century, with the pattern in lead concentrations closely matching existing Antarctic records. These increases are linked to anthropogenic emissions, with peaks during the 1970s and 1980s up to 400% higher than pre-industrial concentrations – well outside the natural variability. However, the ice core record shows a decreasing trend in concentrations of these elements from the mid-1990s to the present. Arsenic concentrations return to within pre-industrial variability, and the timing of this trend coincides with increasing efforts of policy makers in Southern Hemisphere countries to regulate industrial emissions and to promote public awareness of heavy metal pollutants.</p>


Transport ◽  
2020 ◽  
Vol 35 (2) ◽  
pp. 213-223
Author(s):  
Rasa Vaiškūnaitė ◽  
Vilma Jasiūnienė

Recently, concern for a rapid increase in heavy metal pollutants released by railway transport has been expressed. Most of pollutant emissions from combustion processes are related to fuel consumption in the internal combustion engines of traction rolling stock. The main pollutants released into the environment cover particulate matter, volatile non-methane organic compounds, sulphur dioxide and nitrogen oxides. In this way, it is likely that the biggest polluters of the environment are traction units with internal combustion engines. However, other types of pollution are possible, where polluters can be not only traction rolling stock with the internal combustion engines, but also electric locomotive. For example, when due to friction of metals and deterioration of rolling stock wheels, heavy metals such as aerosols are released into the atmosphere, soil, surface and ground water, etc. and severely pollute the railway environment. Along with an increase in the electrification of railways, local environmental pollution is likely to be increased in the future. High pollution by heavy metals can also occur near the track storing creosote-impregnated wooden railway sleepers. Having analysed railway transport intensity and in order to assess pollution level, the stations of three major cities of Lithuania (Vilnius, Kaunas and Klaipėda) were selected to investigate heavy metal pollutants (lead (Pb), cadmium (Cd), zinc (Zn)) acting as the most toxic and widespread elements. The highest concentrations of Pb (up to 50 mg/kg) were found at a distance of 5.0 m from railway sleepers in the upper (up to 10 cm) soil layer at Vilnius Railway Station. A comparison of the results of the investigated soil across the tested stations showed that Klaipėda Railway Station was the area most polluted with Cd. The highest concentrations of Cd (up to 1.5…1.8 mg/kg) were established at a varying distance of 5…10 m from the sleepers in the upper (up to 10 cm) soil layer of light loam. Among the investigated stations, the lowest pollution by heavy metals, including Zn, was found at Kaunas Railway Station where sandy loam dominated. A comparison of heavy metal pollutants deposited on the intact used and rotten wooden railway sleepers disclosed that the latter were more heavily contaminated with heavy metals and made from 8 to 13 mg/kg for Pb, from 0.3 to 1.2 mg/kg for Cd, from 13.8 to 66 mg/kg for Zn.


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