Distribution Of Metals In Soils Research Articles

Cadmium (Cd) and Copper (Cu) Exposure and Bioaccumulation Arrays in Farm Ruminants: Impact of Forage Ecotypes, Ecological Sites and Body Organs

Copper (Cu) and cadmium (Cd) metal distribution in soil–plant ecosystems and their public health risk impact on ruminants (cows, buffalo, and sheep) are explored in the present investigation. Five different forage crops were selected, and the foraging responses of three types of ruminants (cows, buffalo, and sheep) at three ecological sites were evaluated. The soil of these three ecological sites was metal polluted (due to wastewater irrigation) and was studied to evaluate the metal contamination and pollution load index. For the assessment of Cd and Cu, soil, vegetation, blood, hair, and feces samples were collected and analysed using an atomic absorption spectrophotometer. High consumption of fodder crops (Sorghum bicolor Kuntze, Sesbania bispinosa (Jacq.) W. Wight, Cynodon dactylon (L.) Pers., Suaeda fruticosa (L.) Forssk., and Tribulus terrestris L.) by cows and buffalo at site-III resulted in an increase in daily Cu and Cd intake. The pollution load index was higher at site-II and site-III, indicating a severe health risk scenario for local inhabitants. Cd and Cu were at their maximum levels in fodder crops. A significant increase in the concentrations of Cd and Cu was found in the blood, hair, and feces of cows and buffalo at site-III. Ecological indicators such as the bioaccumulation factor, the pollution load index, and the enrichment factor were found to be higher in buffalo than cows. The Cd level in forages was highest at the site-III Cd level and in the order of S. bispinosa > S. fruticosa > T. terresteris > C. dactylon > S. bicolor. Although these levels were lower than the permissible maximum limit, they were generally higher in the forage crops. Exposure of local inhabitants to the consumption of milk and meat from these cattle showed the serious health risks consequences. This situation can be properly managed by general monitoring of soil and vegetation pollution, avoiding metal contamination in the soil and food chain components, and using treated waste water and other alternate water sources for forage irrigation.

A statistical approach to study the spatial heavy metal distribution in soils in the Kushk Mine, Iran

AbstractThe present study was conducted for the spatial distribution and concentration evaluation of heavy metals, including Cu, Cd, Mn, Fe, Zn, and Pb, within 102 soil samples collected from Kushk Mine in Bafgh, Iran. This work employed hierarchical clustering analysis (HCA), principal component analysis (PCA), and spatial distribution patterns, to perform element distribution evaluation within the area. The distributions of heavy metals in the entire area were exhibited in the form of maps. The average concentrations of Cd, Cu, Mn, Fe, Zn, and Pb were found to be 0.39, 0.26, 5.3, 4.1, 51.9, and 40.9 mg.kg−1, respectively. Based on the PCA and HCA findings, the heavy metals were divided into two groups. The first group included Pb, Cd, Zn, and Cu. In the first group, altered threshold‐surpassing anthropogenic and lithogenic pollution was found to be the main factor accounting for Pb and Zn. The second group involved Fe and Mn, which could be impacted by either anthropogenic and lithogenic factors. Furthermore, the geo‐statistical results demonstrated higher contents of the heavy metals in the south of the mine and in the vicinity of the mine tailings. It may be concluded from the results that the heavy metal contents of the area are impacted by anthropogenic and lithogenic factors.

Assessing the pollution effect of cement dust emission on the soil quality around Ewekoro cement factory, southwestern Nigeria

This study assessed the pollution effects of cement dust emission on the soil quality around Ewekoro, southwestern Nigeria. Composite soil samples were collected at six locations from the cement factory (0 km) to a distance of 3 km outside the factory; for two consecutive years. Soil samples were also taken from a distance of 22 km after the cement factory to serve as a control. A total of 42 soil samples were collected and subjected to laboratory assays using standard procedures. Samples were analyzed for pH, organic carbon, particle size, available phosphorus (AvP), alkalinity, exchangeable cations, and heavy metals. Data collected were subjected to simple descriptive and inferential statistics using SPSS for Windows. Pollution effect was also evaluated for pollution index (PI), ecological risk index (ERI), Nemerov integrated pollution index (NIPI), and enrichment factor (EF). Results showed significantly higher levels of exchangeable cations, alkalinity, AvP, pH, Cr, Cu, Pb, and Fe in the vicinity of the cement factory than in the control site. The distribution of metals in soils around the cement factory followed the trend of Fe > Mn > Zn > Pb > Cr > Cu. The PI of metals in soil established high pollution levels for Pb and Zn. The NIPI values for Cu, Cr, and Fe showed low levels of pollution at the vicinity of the cement industry, while no pollution level was observed at the control site. NIPI revealed that Pb varied from low to moderate pollution levels across the sampling locations. The EF values of Zn and Pb were higher than 2.0, thereby suggesting emissions from anthropogenic activities, especially from the cement industry.

Geodetector based identification of influencing factors on spatial distribution patterns of heavy metals in soil: A case in the upper reaches of the Yangtze River, China

With the acceleration of urbanization and industrialization, soil heavy metal pollution has become a serious problem threatening ecological security. Identification of influencing factors on the variations and distribution of heavy metals in soils becomes a critical problem to be solved. Here, the geographical detector (geodetector) method was applied to study the influencing factors on the spatial distribution pattern of heavy metals (As, Cd, Cr and Hg) in soils in the upper reaches of the Yangtze River, China. Based on the geodetector model, eight influencing factors were selected, including 5 natural factors of pH, precipitation, soil type, rock type and landform, 2 anthropogenic factors of land use and road density, and 1 comprehensive factor of deposit density). The influence of each factor on the spatial distribution of 4 heavy metals shows that 1) for As, the dominant influencing factors were pH and deposit density, and the secondary influencing factors were precipitation and rock type, 2) for Cd, precipitation had the greatest explanatory power, while pH, land uses, road density and deposit density also had significant effects, 3) for Cr, the main influencing factors were rock type and soil type, and the secondary factors were pH and deposit density, 4) for Hg, the deposit density and rock type dominated its distribution. Compared with single factors, the interaction between factors significantly improved the explanatory power of heavy metals. Taking Cd as an example, the single factor contributions of road density and precipitation are 12.4% and 13.2%, respectively, while the explanatory power of their interaction was as high as 49.8%. This finding indicated that the geodetector can be a helpful method for us to understand the factors affecting the distribution patterns of heavy metals in soil, and it can further service for land management and pollution remediation.

Identification of pollution sources and spatial distribution of trace metals in soils of the industrial area El Hadjar (Annaba, Algeria)

ABSTRACT The purpose of this study is to investigate trace metal contents in soils, to determine their spatial distribution, and to identify their potential natural either anthropogenic sources using multivariate statistical approaches. Soils were taken in the industrial area of El Hadjar (NE-Algeria) at 0-10 and 10-20 cm. The results revealed an order of Fe > Zn > Pb > Cu > Cr, whatever the depth. Mean concentrations of Fe, Zn, Pb, Cu and Cr were 31191, 219.87, 96.76, 47.87, 28.27 µg/g, respectively, at 0-10 cm, and 29,792, 304.09, 115.45, 49.08, 28.16 µg/g, at 10-20 cm. Cr and Fe mean concentrations were below or close to soils worldwide backgrounds. These metals perhaps principally derive from natural sources. The percentages of sites with Zn, Pb and Cu contents over the background values were: 88.23% (Zn) > 82.35% (Pb) > 52.94% (Cu) at 0-10 cm, and 94.11% (Zn) > 88.23% (Pb) > 41.17% (Cu) at 10-20 cm. Hotspot areas of metal contamination were mainly concentrated around the Arcelor Mittal complex which seems to be the strongest effect factor influencing the spatial distributions of these metals. Results of this study suggest that Cr and Fe are predominantly derived from natural sources; Pb and Zn from industrial sources; and Cu from agricultural and industrial ones.

Soil heterogeneity influence on the distribution of heavy metals in soil during acid rain infiltration: Experimental and numerical modeling

Acid rain is a global environmental problem that mobilizes heavy metals in soils, while the distribution and geochemical fraction of heavy metals during acid rain infiltration in heterogeneous soils are still unclear. In this study, we performed column experiments to investigate the distribution and geochemical fraction of Cu, Pb, Ni and Cd in heterogeneously layered soils during continuous acid rain infiltration. Chloride ion used as a conservative tracer was found to be uniformly distributed during acid rain infiltration, showing insignificant preferential flow effects in the column. In contrast, however, the distribution of heavy metals was highly non-uniform, especially in the silty soil at the lower part of the column, indicating a heterogeneous distribution of adsorption capacity. In addition, in the control experiments with neutral rain infiltration, uniform distribution of heavy metals was observed, indicating that the heterogeneous distribution of adsorption coefficient during acid rain infiltration was mainly caused by different pH buffering capacities. A numerical model considering water flow and solute transport was developed, where the average water-solid distribution coefficient (Kd) in Layer 2 was only 1.5–12.5% of that in Layer 1 during acid rain infiltration. The model could predict the variation of heavy metal concentrations in soil with the majority of error less than 35%, confirming that different Kd induced the heterogeneous distribution of heavy metals. In addition, the geochemical fraction of heavy metals in the upper coarse sand layer remained stable, while the acid-extractable fractions in the lower loam and silt loam layer gradually increased. Our findings suggest that soil heterogeneity, especially chemical heterogeneity affected by rainfall acidity, has an important influence on the infiltration, migration and geochemical fraction of heavy metals in soils. This study could help guide the risk assessment of heavy metal-contaminated sites that were polluted by acid rain or landfill leachate.

Multi-Metal Distribution Patterns in Soils of the Sacramento River Floodplain and Their Controlling Factors

Metal contamination, especially in river floodplain soils, can have detrimental effects on human health. Much research has been conducted to describe the distribution patterns of metals and the factors involved in these patterns. However, most studies focus on the distribution of individual metals in soils, not on the co-occurrence of metals, and on a selection of metals associated with anthropogenic sources known to have especially severe effects; this had led to a lack of knowledge about many other metals with potentially harmful effects. Therefore, this study aimed to identify the multi-metal distribution patterns of 38 metals in the Sacramento River floodplain and find their controlling factors. We found 484 significant correlations between metal distributions. Less commonly studied metals, such as gallium, lanthanum, scandium, and vanadium, had more than 25 correlations each. In total, 13 individual metal patterns described the spatial distribution of 22 metals. Three multi-metal patterns were extracted, explaining 86.9% of the spatial variation of the individual patterns. The most important factors were the distance to specific streams due to emission and transport processes in their watersheds, and local soil properties. We conclude that multi-metal distribution patterns hold more information than individual metal patterns, contributing to the gathering of information about less commonly sampled metals and allowing more specific source identification.

Impact of tourism activities on the distribution and pollution of soil heavy metals in natural scenic spots on the northern slope of Tianshan Mountain

Human activities can significantly impact the natural ecosystem. As an important part of terrestrial ecosystems, soil participates in energy and material cycle. With the continuous intensification of human activities, soil undergoes increasingly serious disturbance. Under the influence of global change and human activities, the variability of heavy metals in soil is worthy of further discussion. Taking Lujiaowan and Juhuatai Scenic Spot on the northern slope of Tianshan Mountain as the research area, this study investigated the concentrations of Pb, As, Zn, Cu and Mn in the soil and analyzed their distribution and pollution levels. Meanwhile, the main sources of soil heavy metals were explored using autocorrelation analysis and principal component analysis. Results showed that the order of the average concentration of heavy metals in the study area was as follows: Mn> Zn> Cu> Pb> As. None of them exceeded the national soil environmental quality level II standard, and the average concentrations of Zn, Cu, and As exceeded the background value of Xinjiang soil, reaching a light pollution level. In addition, the distribution of heavy metals in soil displayed a regular trend, and a positive correlation was found between disturbance intensity and heavy metal concentration. The geoaccumulation index also showed that the five heavy metals in the study area had lower pollution degree compared with the background value in Xinjiang. The order of potential ecological risk was As > Cu > Pb > Zn > Mn.

Chemical Speciation and Potential Mobility of Heavy Metals in Organic Matter Amended Soil

Organic matter (OM) degradation from amendments used in the remediation of metal-contaminated soils leads to modifications in soil chemical properties immediately after addition, which can also affect the soil metal distribution. Therefore, the speciation and potential mobility of heavy metals e.g., lead (Pb) and cadmium (Cd) were evaluated in three soils amended with OM. Soils, both spiked (with lead nitrate and cadmium nitrate solution) and unspiked, were treated with OM at a rate of 5 tons/ha in a moist condition. The samples were in incubation for 30 days in 30% moist condition. A chemical fractionation procedure was applied to determine the distribution of Pb and Cd in soils. The potential mobility of metals was also determined. Metals transformed from mobile to immobile fractions in both spiked and unspiked soils (not treated with organic matter), but OM increased the mobile fraction of Pb in unspiked soil and decreased it in spiked soil. In contrast, the mobile fraction of Cd decreased in soils (not treated with OM), but the OM increased the mobile fractions in spiked and unspiked soils. The mobile fraction (as a percentage of total) of Cd was higher than the mobile fraction of Pb indicating the greater mobility of Cd compared to Pb. However, the three soils showed a more or less similar pattern in transforming Pb and Cd in soils since their characteristics were almost the same.

Geochemical partitioning and spatial distribution of heavy metals in soils contaminated by lead smelting

Heavy metals (HMs) pollution is a universal and complex problem at lead smelting sites. Further understanding on the distribution, coexistence relationship and occurrence form of multi-metals in soils should be taken prior to restoration on the contaminated sites. In this study, 222 soil samples in a typical abandoned lead smelting site were investigated to understand the spatial distribution and geochemical partitioning of HMs. The results showed that soil quality was seriously threatened by As, Pb and Cd, which expressed high spatial heterogeneity. Integration of sequential extraction, X-ray photoelectron spectroscopy and mineral liberation analysers were employed to qualify the geochemical partitioning of HMs. The data showed that Pb and As were mainly partitioned in the reducible phase and residue phase, where the maximum of As were 18% and 79%, and the maximum of Pb were 31% and 64%, respectively, whilst Cd was mainly partitioned with residue phase (about 25%) and weakly acid soluble phase (about 18%). Paulmooreite was the major important mineral host for Pb and As, whereas Cd predominantly existed in willemite. These minerals containing HMs could usually with Fe reside in the octahedral layer of clay minerals such as montmorillonite, and may also reside in the interlayer. Quartz, montmorillonite and goethite were closely associated with HMs minerals in contaminated soils, which limited vertical migration of HMs and potential risks to groundwater. The results enhanced the understanding of spatial distribution and occurrence behavior of HMs, whilst providing potential benefits to heavy metal stabilization and risks control at abandoned non-ferrous metal smelting sites.

Identification of Heavy Metal Compounds in Technogenically Transformed Soils Using Sequential Fractionation, XAFS Spectroscopy, and XRD Powder Diffraction

The transformation of technogenic Cu and Zn compounds in technogenically transformed soils (Spolic Technosols) with high and very high concentrations of metals formed at the site of a natural tailings pond in the floodplain of the Seversky Donets River, the main tributary of the Don River (Rostov oblast, Russia) has been studied. The Technosols are compared to an unpolluted meadow-chernozemic soil (Fluvisol) outside the impact zone. The state of Cu and Zn is assessed using three sequential extraction schemes—Miller’s, Tessier’s, and BCR, as well as synchrotron X-ray powder diffraction (XRD) and analysis of synchrotron X-ray absorption spectrometry (XAFS) spectra. It is shown that the distribution of metals in soil is largely related to their properties, such as electronegativity, hydrolyzability, and softness parameter. As is observed, Cu mainly concentrates in the residual fraction (to 42%) and in the fraction associated with organic matter (up to 27%). The mobility of Zn in the studied soils is higher than that of Cu. Its main part (up to 56%) is in the residual fraction and the fraction associated with Fe and Mn oxides (up to 48%), especially with Fe(III) crystalline compounds. The combination of a three-stage BCR scheme with XAFS and XRD techniques is used for the first time. Most of the peaks in diffraction patterns of soil samples after the first and second extraction stages correspond to the authigenic sulfur-containing minerals, namely, wurtzite (ZnS with a hexagonal structure), sphalerite (cubic ZnS), covellite (CuS), and bornite (Cu5FeS4). Wurtzite is present in the exchangeable and reducible fractions. These fractions also contain chalcocite (Cu2S). Sulfides are most abundant in soil sample after extraction of the oxidizable fraction, while phyllosilicates are prevalent in the sample after extraction of the reducible fraction. X-ray absorption spectroscopy demonstrates molecular structural changes in the Zn and Cu compounds in heavily polluted soils, suggesting the transformation of metals under different environmental conditions, which is important for assessment of the soil protective function.

Geospatial modeling and ecological and human health risk assessments of heavy metals in contaminated mangrove soils

Heavy metal-contaminated wastes can threaten mangrove forests, one of the most biodiverse ecosystems in the world. The study evaluated the geospatial distribution of heavy metals concentrations in soils, the ecological and human health risks, and metal contents in soil fractions and mangrove organisms in the Botafogo estuary, Brazil, one of the most environmentally impacted estuaries in the country. The metal concentrations exceeded by up to 2.6-fold the geochemical background; 91%, 59%, 64%, 31%, and 82% of the soils were contaminated with Cr, Zn, Pb, Cu, and Ni, respectively. Adverse effects to the biota may occur due to Cr, Cu, Ni and Pb exposures. Contents of clay and organic matter were the main factors governing the distribution of metals in soil, contributing to up to 63% of the total variability. However, the geospatial modeling showed that the predictive ability of these variables varied spatially with the metal and location. The ecological and human health risks assessments indicated that the metal concentrations in soils are safe for the environment and human beings. There was a low transfer of metals from the soil to the biota, with values of sediment-biota accumulation factor (SBAF) and biological accumulation coefficients (BAC) lower than 1.0, except for Zn (SBAF = 13.1). The high Zn bioaccumulation by Crassostrea rhizophorae may be associated with the concentrations of Zn in the bioavailable fractions.

Landscape variability of riparian buffers and its impact on soil and water chemistry of an urbanized watershed

Water and sediment transport and redistribution around drainage ways are major riparian zone processes that affect soil chemistry and water quality of watersheds. This is more so for urbanized watersheds that generate more runoff and sediments which end up in the drainage ways. This study was done to evaluate the pedogeomorphic variability of the Aldridge Creek Watershed in Alabama, and to assess its impact on the water quality and soil properties of the watershed. Sampling locations along the creek were subdivided into five stream sites and geo-referenced. Soil samples from the riparian buffers and water samples from the creek were collected from upstream, midstream, and downstream sites of the watershed and analyzed for trace metal concentration and distribution. The trace metal concentration in soils of the riparian buffers varied from 20 to 34 µg g−1 for lead (Pb), 50–85 µg g−1 for zinc (Zn), 6–17 µg g−1 for copper (Cu), 11–18 µg g−1 for nickel (Ni) and 5–21 µg g−1 for arsenic (As). At all sites, Pb, Zn, Ni, Cu and As concentrations in the riparian zone locations were 7–67% higher than the upper slopes indicating that the riparian zone is a potential source or sink of trace metals along the flow pathways between the upper slope soils and the stream. While there were significant differences in the distribution of trace metals in soils between the upslope and riparian zone locations at the upstream, midstream, and downstream sites, there was no significant difference in the stream water trace metals concentration between the sites of the watershed.

Assessment of the Distribution of Heavy Metals in Soils of Severny Island (Novaya Zemlya)

Global warming occurs the fastest in polar latitudes, increasing their economic accessibility and, consequently, entailing risks of technogenic contamination. Heavy metals (HM) are among the most common technogenic pollutants that may negatively affect the functioning of the Arctic's soil-based terrestrial ecosystems. There is almost no research on the actual HM content in the soils of Novaya Zemlya (NZ), and the purpose of this work is to assess the HM content in the soils of Severny Island in the NZ archipelago. The study was performed at Russkaya Gavan, Ledyanaya Gavan, Blagopoluchiya Bay, and Cape Zhelaniya. The soil cover in the northern part of Severny Island has a mosaic structure. On Severny Island, Cryosols (Loamic) are the most common soils among the soils studied in this work. Soils of the study regions on Severny Island are mostly loamy and clayey. The proportion of physical clay increases down the profiles. All study soils of NZ are alkaline and highly alkaline. In general, study soils have an acceptable level of HM contamination. The weighted average HM gross content in them varies insignificantly; however, the following elements exceed their threshold concentrations: Fe (1.1 clarke) – Russkaya Gavan bay; Fe (1.2 clarke), Cr (1.1 clarke), V (1.1 maximum permissible concentration (MPC)), Ti (1.1 clarke) – Blagopoluchiya bay; Fe (1.3 clarke) – Ledyanaya Gavan bay. This, apparently, is caused by their high contents in the soil-forming rock. The results obtained confirm the necessity to monitor the study territories in order to be able to assess the degree of pollution and prevent the risk of an environmental disaster in the future

Study on Distribution of Heavy Metals in Soil and Concentrated Pollution in Coal Mine Reclamation Area

Study on Distribution of Heavy Metals in Soil and Concentrated Pollution in Coal Mine Reclamation Area

Silicon fertilizers, humic acid and their impact on physicochemical properties, availability and distribution of heavy metals in soil and soil aggregates

It has been confirmed that silicon (Si) fertilizer and humic acid (HA) could effectively decrease the heavy metals in soil. Nonetheless, the impact of these additives on soil aggregate characteristics was ignored. Therefore, the effects of Si fertilizer, HA, and their combinations on the physicochemical characteristics, availability of heavy metals (Cu, Cd, Pb, Zn), and fraction changes in soils and soil aggregates were investigated in this research. The results showed that Si fertilizer and HA significantly modified soil properties such as soil pH, electrical conductivity total organic carbon, water-soluble organic carbon, and nitrate‑nitrogen. HA and Si-HA (SHA) supplementation significantly decreased the availability of Cu, Cd, Pd, and Zn. Besides, there was no significant difference in physicochemical properties between soil and soil aggregates. The availability of Cu, Cd, Pd, and Zn in soil aggregates could be significantly inhibited by the addition of HA and SHA, and the content in microaggregates was greater than that in macroaggregates. After the addition of the three additives, the main fractions of heavy metals in different particle sizes were changed and eventually transformed to the residue state. These results indicated that Si fertilizer, HA, and SHA were influential in physicochemical properties and metal availability in soil aggregates. Therefore, it is of great scientific significance to study the impact of heavy metal pollution on the ecological environment in different aggregates, which will provide reference data for future sustainable management of heavy-metal polluted soils.

Soil quality and metal distribution around stone quarries within Abeokuta, Southwest, Nigeria

Quarrying activities are explored to extract a variety of materials deposited underneath the earth surface. These activities however can potentially impact negatively on soil quality and cause elemental pollution. This study assessed soil quality and distribution of metals in soils around four quarrying sites (PAPA, S&D, TCity and Mile 8) within Abeokuta, Ogun State, Nigeria. Thirty six topsoil samples were collected at distances from quarry gates in September 2019 and analyzed using standard methods. Soil quality and metal concentrations were compared with reference and standards and the degrees of soil contamination assessed using relevant indices. Soil quality reduced with distance from the quarry gates. Similarly, metal concentrations had strong and significant (P=0.05) negative relationships with distance and were higher in soil samples compared to the reference. Moderate contaminations for all metals were observed in soils collected close to the quarry gates soils from the results of the contamination factor index (Cf). However, the results of ecological risk index (Ei) showed that the metal loads in soils currently do not pose any ecological risk.
 Keywords: Quarry, Soil quality, Metal distribution, Soil contamination, Potential ecological risk

Heavy Metals Distribution in Soil at Different Depths and Radiuses around Landfills in Districts of Nyékonakpoè, Akodesséwa and Amoutivé in Lomé City

This study aims to provide baseline data about soil contamination by some heavy metals at different depths around landfills in areas at high risk of groundwater contamination. Soil samples were taken in three replicates at depth of 0 – 20 cm, 20 – 40 cm and 40 - 60 cm in the radiuses of 0 to 10 m, 10 to 20 m and 20 to 30 m around landfills. In all, 81 homogenized composite soil samples were collected. The heavy metals were measured in soil samples by atomic absorption spectrophotometer. The results show that the concentration of mercury (0.03 – 0.29 mg kg-1), cadmium (0.04 – 0.69 mg kg-1), arsenic (0.05 – 2.30 mg kg-1) and nickel (0.05 – 2.35 mg kg-1) in analyzed soil samples were lower than the limit values set by WHO, Finland and Dutch environment ministries. However, lead concentrations (90.15 – 129.14 mg kg-1) in topsoil in vicinity of landfills in Amoutivé and Akodesséwa were above reference values set by WHO, Finland and Dutch environment ministries. As the heavy metals may be leached to reach groundwater, the landfills management must be great concern to municipal authorities. The frequent monitoring of the quality of soil and groundwater will be necessary to follow the level environmental contamination by heavy metals around landfills and the possible initiate remedial measures.

Distribution Analysis of Heavy Metal Contaminants in Soil With Geostatistic Methods; Paper Review

Heavy metal contaminants in the soil will have a direct effect on human life. The spatial distribution of naturally occurring heavy metals is highly heterogeneous and significantly increased concentrations may be present in the soil at certain locations. Heavy metals in areas of high concentration can be distributed to other areas by surface runoff, groundwater flow, weathering and atmospheric cycles (eg wind, sea salt spray, volcanic eruptions, deposition by rivers). More and more people are now using a combination of geographic information science (GIS) with geostatistical statistical analysis techniques to examine the spatial distribution of heavy metals in soils on a regional scale. The most widely used geostatistical methods are the Inverse Distance Weighted, Kriging, and Spatial Autocorrelation methods as well as other methods. This review paper will explain clearly the source of the presence of heavy metals in soil, geostatistical methods that are often used, as well as case studies on the use of geostatistics for the distribution of heavy metals. The use of geostatistical models allows us to accurately assess the relationship between the spatial distribution of heavy metals and other parameters in a map.

Distribution Analysis of Heavy Metal Contaminants in Soil With Geostatistic Methods; Paper Review

Heavy metal contaminants in the soil will have a direct effect on human life. The spatial distribution of naturally occurring heavy metals is highly heterogeneous and significantly increased concentrations may be present in the soil at certain locations. Heavy metals in areas of high concentration can be distributed to other areas by surface runoff, groundwater flow, weathering and atmospheric cycles (eg wind, sea salt spray, volcanic eruptions, deposition by rivers). More and more people are now using a combination of geographic information science (GIS) with geostatistical statistical analysis techniques to examine the spatial distribution of heavy metals in soils on a regional scale. The most widely used geostatistical methods are the Inverse Distance Weighted, Kriging, and Spatial Autocorrelation methods as well as other methods. This review paper will explain clearly the source of the presence of heavy metals in soil, geostatistical methods that are often used, as well as case studies on the use of geostatistics for the distribution of heavy metals. The use of geostatistical models allows us to accurately assess the relationship between the spatial distribution of heavy metals and other parameters in a map.