Pollution Status Of Heavy Metals Research Articles

A comprehensive assessment of environmental pollution by means of heavy metal analysis for oysters' reefs at Hab River Delta, Balochistan, Pakistan

The heavy metal pollution status of oyster reefs has been assessed with respect to ten metals pollutants in seawater, sediments, and tissues of above two oysters (soft tissues and shells) for assessing the pollution status in a short food chain in Hab River Delta. The results showed that heavy metals accumulated in M. bilineata were higher than those in M. cuttackensis. Simultaneously, the population of M. bilineata species has been ironically decreasing as a results of high pollution. The determined concentrations revealed a significant differences in their profiles among sediments, seawater and bioaccumulation in tissues and shells of two native oysters. The present study also compared these metal concentrations with national and international database by applying different pollution indices. Heavy metals in all samples were above the national environmental quality standards (NEQS-Pakistan). High level of pollution with an alarming condition of Hab River Delta need more attention for coastal management.

Trace metal distribution in the sediment cores of mangrove ecosystems along northern Kerala coast, south-west coast of India

Core sediment samples were collected from five mangrove ecosystems along northern Kerala coast (Kunjimangalam: S1, Pazhayangadi: S2, Pappinissery: S3, Thalassery: S4, and Kadalundi: S5) to assess the status of heavy metal pollution. S1 recorded comparatively lower metal concentration at surface (except Pb) due to low organic content and sandy texture, while the reverse was true for S3. Higher metal contents were recorded at S5 (0–5 cm), which was attributed to its unique biogeochemical behavior. Enrichment factor and geoaccumulation index indicated moderate enrichment for Cd, and the pollution load index revealed progressive deterioration of sediment quality at S5 (0–5 cm). There was no harmful effect of trace metals on biological community (except Ni) according to Sediment Quality Guidelines. Major processes controlling trace metal accumulation in these systems are diagenetic processes, precipitation of heavy metals as sulfides, and the presence of Fe, Mn-oxy hydroxides, which act as adsorption sites for other metals.

Evaluation of Heavy Metal Level in Soil of Typical Alpine Grassland Communities

Objective: Through the investigation, determination and analysis of heavy metals in the soil of typical alpine grassland community, five kinds of alpine grasslands with different degeneration degree of Maduo County in Alpine area, two kinds of alpine grassland with high Maqu County, high Alpine desert along the coast of Qinghai Lake, alpine thickets in the yellow South region, Alpine wetlands, The condition of soil heavy metals in alpine meadow and other communities is analyzed, which provides scientific guidance for the ecological protection measures of typical alpine grassland communities, and provides a basis for the sustainable utilization of Alpine grassland. Methods: The content of various kinds of heavy metals in soil samples was determined by ICP-MS, and the pollution status of heavy metals was analyzed by means of single factor pollution index method, Nemero comprehensive pollution index method and potential ecological risk index method by using Excel. Results: (1) The content of Cd in Maduo, Maqu, Qinghai Lake and Huangnan was 1.74, 0.97, 1.84 and 1.06 times times the soil environment background respectively, and the content of Hg in Maqu was 1.36 times times that of soil environmental background value. The variation coefficient of Hg and Pb in Maqu and the coefficient of variation of Cd in Qinghai Lake are more than 100%, which is in the degree of high variation, which is greatly influenced by man. (2) The highest total pollution index in the 4 sample places was in the area of MA diversity, at 1.33. The second is the Huangnan sample, with an exponential value of 0.86. The Nemero comprehensive pollution Index of the Maqu sample is 0.77. The index value of Qinghai Lake sample is the lowest, at 0.61. (3) The highest potential ecological hazard index is the most diverse, in 0-10, 10-20, 20-30cm three soil layers are 96.96, 103.58, 102.46, Maqu in 0-10, 10-20cm soil, the potential ecological hazard index is 65.70, 71.01, the potential ecological hazard index of Huangnan in three soil layer is 78.23, 73.42 and 72.84 respectively, which refers to the smallest value of Qinghai Lake sample, three, 51.07 and 51.72 in 51.48 soil layer respectively. Conclusion: The Nemero comprehensive pollution Index of Qinghai Lake sample is less than 0.7, at the level of cleanliness, the exponential value of Huangnan and Maqu two samples is between 0.7~1, at the level of cordon, and the exponential value of ma variety is between 1~2, at the level of mild pollution. The comprehensive potential ecological hazard index of 80~160 has the potential ecological risk of strength, and the exponential value of the other three samples is between 40~80, which has medium potential ecological risk. Generally, the pollution degree of heavy metals is small in the whole alpine grassland area.

Pollution Status of Heavy Metals in Surface Sediments Collected from West Coast of Peninsular Malaysia

The present study examined status of heavy metals (Cu, Zn, Pb, Cd and Ni) pollution in the surface sediments of west coast of Peninsular Malaysia. Heavy metals concentrations were determined by using air acetylene flame atomic absorption spectrophotometer (AAS) Perkin Elmer Analyst 800. The results of particle size analysis of the surface sediments indicate high metals concentrations at sampling sites with high content of sand and clay particles. The results of Pearson’s correlation analysis based on the relationship between particle size distribution and total heavy metals, and the relationship between the studied metals (Cu, Zn, Pb, Cd and Ni) revealed significant correlations at (p 5 > 3 > 1 > 6 > 4. The Igeo, EF and PLI values indicate heavy metals contamination in the study area, particularly Pb. Considerable attention should be made at sampling sites that showed higher metals contamination in order to monitor metals pollution and save its biological components from deterioration.

Fine Particulate Matter and Heavy Metals Pollution Status in Ambient Air of Some Selected Industrial Sites in Northern Nigeria

Fine particulate matter and eight heavy metals (Ni, Co, Cu, Pb, Cd, Cr, Mn, and Zn) concentrations were determined in air samples collected from three industrial sites in northern Nigeria using a Handheld Portable Particle Counter for PM2.5 and PM10 with model number CW-HAT 200 and a High Volume Respirable Dust Sampler (APM 460 NL) in conjunction with an Atomic Absorption Spectrophotometer (Serial No. AA0904M046) Flame Test. The results of the fine particulates ranged from 11.0 - 46.0 μg.m-3 for PM2.5 and 22.0 - 88 μg.m-3 for PM10 across all the industrial sites investigated. Most of these results exceeded the WHO permissible levels of 25.0 μg.m-3 and 50.0 μg.m-3 for PM2.5 and PM10 and thus pose threats to people living and working close to these sites. The concentration of the heavy metals studied were found to be within WHO/EU set standards except for the concentrations of Ni, Pb, and Cd that exceeded the set standard by WHO/EU with toxicity potential >1 in the Terytex industry, Kano and Grand Cereals, Jos. Strong positive correlations were found between the fine particulates concentrations and heavy metals in all the studied sites suggesting that common anthropogenic sources contributed to the fine particulates and heavy metals recorded from the industrial areas. We suggested the installation of electrostatic precipitators to combat fine particulates emission from the stack and also recommended a proper legislative framework by the government to regulate and control industrial fugitive emissions to protect human health.

Analysis of Soil Fertility Quality and Heavy Metal Pollution in the Dawen River Basin, China

Understanding the soil fertility status and heavy metal pollution is of great significance for targeted environmental management and governance in a basin. The Dawen River Basin (DRB), a sub-basin in the lower Yellow River area in China, was taken as the study area. A total of 107 surface soil samples were collected in the DRB in October 2019, and the sampling points were mainly located within 10 km of the mainstream of the Dawen River. Based on the measured soil nutrient indicators (organic matter, total nitrogen, total phosphorus, and total potassium) and heavy metal contents (As, Hg, Cd, Cr, and Pb), the status and spatial distribution of soil fertility and heavy metal pollution in the DRB were evaluated by combining the use of the Nemerow index method, the land accumulation index method, and the general Kriging interpolation method. The results showed that the soil fertility in the DRB was generally at a normal level or below, while some areas of Taian City, Xintai City, and Ningyang County had relatively high soil nutrient content. The content of heavy metals in the soil of the DRB was mainly at a safe level, but the single pollution index and geo-accumulation index implied that there was light to moderate pollution of heavy metals in individual samples, and the content of heavy metals in urban and industrial agglomerations is relatively high.

Impact of heavy metals on Ciconia boyciana feathers and Larus saundersi egg shells in the Yellow River delta estuary.

In this study, the Ciconia boyciana and Larus saundersi, typical wetland birds in the Yellow River estuary, were selected as research objects. The feathers and egg shells of Ciconia boyciana and Larus saundersi were collected to determine the contents of heavy metals Cd, Cr, Cu, Zn, Mn, Ni and Pb in the samples. Correlation analysis (CA), principal component analysis (PCA), principal factor analysis (PFA) and potential ecological risk index (RI) were used to analyse and treat the measured heavy metal content data to determine the heavy metal pollution status, source and potential ecological risk in the Yellow River estuary. The results of CA, PCA and PFA showed that the content of Cd in the Yellow River estuary was much higher than the background value and its pollution was the most serious. Cr pollution was second and Mn pollution was the lowest. Heavy metal pollution mainly came from human activities such as oil exploitation, industrial production, use of pesticides and fertilizers, and the pollution caused by natural sources was relatively low. Based on the RI value of heavy metals in the study area, heavy metal Cd had an extremely high ecological risk status, and other heavy metals were all low. The results of this study can provide some reference and theoretical support for bird protection, heavy metal pollution control and ecological restoration in the Yellow River delta.

Heavy metals pollution status of the Katima Mulilo Urban open land wastewater disposal centre and the immediate vicinity

The main objective of this study was to assess the current pollution status of environmentally concerned heavy metals in the surface soil within the vicinity of the Katima Mulilo urban open land wa...

Effects of Different Land Use Types on Microbial Community Diversity in the Shizishan Mining Area

Soil microorganisms play an important role in ecosystem function. Soil microbial community structure can be used to feed back the status of heavy metal pollution in soil at different functional areas of mines related to mining activities. Samples of four different land use types (vegetable garden, tailings reservoir, heap mining area, and dressing area) were collected in the Shizishan mining area, Tongling, Anhui Province, to determine the effect of heavy metal pollution on microbial community structure. Soil physical and chemical properties and heavy metal contents of the four different land use types were measured, and soil microbial community abundance and structure diversity were analyzed by Illumina MiSeq high-throughput sequencing technology. The results show that there are significant differences in physical and chemical properties between different regions. The comprehensive pollution index of Nemerow is heap mining area (7.28) > dressing area (6.99) > tailings reservoir (6.55) > vegetable garden (5.92). The distribution of microbial community abundance and structure diversity was tailings reservoir > dressing area > vegetable garden > heap mining area. In addition, principal coordinates analysis (PCoA), canonical correspondence analysis (CCA), and correlation analysis showed that land use type, soil pH and heavy metal content had significant effects on the microbial community. The dominant soil microbial communities at the phylum level were Proteobacteria, Bacteroidetes, Acidobacteria, and Actinobacteria, at the class level were β-Proteobacteria, α-Proteobacteria, and γ-Proteobacteria, and at the genus level were Flavobacterium, Kaistobacter, and Ramlibacter. The bacteria that are more tolerant to heavy metals are Proteobacteria, Firmicutes, β-Proteobacteria, and Kaistobacter. These results have deepened our understanding of microbial changes and aggregation patterns in soils of heavy-metal-contaminated mining areas. This study can provide bacterial species and theoretical basis for bioremediation of heavy metal mining areas.

Assessing heavy metal pollution and potential ecological risk of tea plantation soils

Accumulation of heavy metals in agricultural soils tends to increase crop uptake of heavy metals, and can adversely impact human health through food chains. This study assessed the heavy metal pollution status and the potential ecological risk of tea plantation soils in southern Shaanxi Province, China. A total of 330 topsoil samples were collected to analyze the concentrations of seven heavy metals (Pb, Zn, Cu, Cr, Hg, As and Cd) and the pH level. The Hakanson potential ecological risk index was used based on the background levels of soil heavy metals in Shaanxi. Results showed that the averaged concentrations of soil Pb, Zn, Cu, Cr, Hg, As, and Cd were 10.0, 87.6, 16.4, 12.4, 0.2, 6.9 and 0.1 mg/kg, respectively. Cd and Hg concentrations exceeded level II of China’s Soil Environment Quality Standard (GB 15618–2009) in 9.3% and 7.0% of the total samples, respectively. The coefficient of variation ranged from 29.2% to 52.2% for different elements, and was 49.3% for Cd and 48.6% for Hg. The averaged comprehensive potential ecological risk index was 95.4, and the overall potential ecological risk was low, with 82.4% of the total samples at a low level of potential ecological risk. Cd and Hg contributed most to the potential ecological risk (35.5% and 46.5%, respectively), and the risks associated with other elements were relatively minor. This study suggested that soil Cd and Hg pollution should be controlled to ensure the safe production of tea in the study area. Keywords: ecological risk, heavy metal, soil pollution, tea plantation DOI: 10.25165/j.ijabe.20191206.4363 Citation: Zhao Z P, Yan S, Duan M, Fu J, Wang Q, Liu Z F, et al. Assessing heavy metal pollution and potential ecological risk of tea plantation soils. Int J Agric & Biol Eng, 2019; 12(6): 185–191.

Spatial Distribution and Evaluation of Heavy Metal Pollution in Soil Around Coal Gangue in Fengfeng Mining Area

Taking the soil around the coal gangue mountain in the Fengfeng mining area as the research object, 30 soil samples were collected in the east, southeast and southwest directions within 300m of the coal gangue mountain boundary, and the soil in the mining area was measured by inductively coupled plasma mass spectrometry. The contents of five heavy metals such as Cr, Pb, Cd, Cu and Zn were detected, and the spatial distribution characteristics, pollution status and ecological risk of heavy metals in the mining area were analysed. The results show that: (1) the five heavy metals content of Cr, Pb, Cd, Cu and Zn show different decreasing trend from the farther gangue heap and the increase of soil depth. (2) Referring to the background value of the national secondary soil environmental standard, among the five heavy metals in the soil, except for Cu and Cr, the average values of three heavy metals of Zn, Cd and Pb are higher than the soil background value; Single factor index evaluation results show that the Pb pollution is the most serious, followed by Cd pollution. The Nemero comprehensive index method shows that the surface soil is moderately polluted when the distance is zero in the three directions, and the rest places are mildly polluted. (3) According to the ecological risk assessment results, the order of potential ecological hazards of single heavy metals are ranked from strong to weak: Cd>Pb>Cr>Cu>Zn, and the soils are all slightly ecologically harmful.

Heavy metals in surface sediments in the trans-Himalayan Koshi River catchment: Distribution, source identification and pollution assessment.

Rivers flowing across the Himalayas are important water resources and deliver large amounts of sediment to regional and downstream ecosystems. However, the geochemistry of Himalayan river sediments has been less studied. Surface sediment samples collected from a typical trans-Himalayan river, the Koshi River (KR), were used to investigate the distribution, pollution status and potential sources of heavy metals. Heavy metals did not show significant spatial differences between the upstream and downstream areas of the river, but Cd and Pb displayed higher values in the upstream area. The average heavy metal concentrations in the KR sediments are comparable to the natural background values and are lower than the sediment guidelines. Pollution assessment using the geo-accumulation index (Igeo), enrichment factor (EF) and pollution load index (PLI) suggested negligible anthropogenic disturbances except for slight contamination by Cd, Pb and Cu at a few sites. Principal component analysis revealed that Cr, Co, Ni and Zn were primarily from the parent rock and that Cu, Cd and Pb were derived from both natural and anthropogenic sources. Despite contrasting environmental settings and human activities in the upper and lower reaches of the river, the heavy metals concentrations in the KR sediments showed consistency with natural backgrounds and negligible contamination. The geochemistry of river sediments is a useful indicator of environmental changes, and long-term observations of the geochemistry of trans-Himalayan river sediments are needed to understand the impacts of intensified climate change and human activities on the Himalayan environment.

Potential Ecological Risk and Human Health Risk Assessment of Heavy Metal Pollution in Industrial Affected Soils by Coal Mining and Metallurgy in Ostrava, Czech Republic.

The heavy metal pollution of soils has become serious environmental problem, mainly in localities with high industrialization and rapid growth. The purpose of this detailed research was to determine the actual status of heavy metal pollution of soils and an assessment of heavy metal pollution in a highly industrialized city, Ostrava, with a history of long-term impacts from the metallurgy industry and mining. The ecological risks to the area was subsequently also assessed. The heavy metals Cd, Hg, Cu, Mn, Pb, V, Zn, Cr and Fe were determined in top-soils (0–20 cm) using atomic absorption spectrometry (F AAS, GF AAS) from three areas with different anthropogenic loads. The obtained data expressed as mean metal concentrations were very varied among the sampled soils and values of all analyzed metal concentrations were higher than its background levels. To identify the ecological risk and assessment of soil pollution, various pollution indices were calculated, such as single pollution indices (Igeo, CF, EF, PI) and total complex indices (IPI, PLI, PINemerow, Cdeg, mCdeg, Er and PERI). The identification of pollution sources was assessed using Pearson’s correlation analysis and multivariate methods (HCA, PCA/FA). The obtained results confirmed three major groups of metals (Fe–Cr, Pb–Cu and Mn–V). A human health risk was identified in the case of Pb, Cd and Cr, and the HI value of V for children also exceeded 1.

A case study on pollution and a human health risk assessment of heavy metals in agricultural soils around Sinop province, Turkey

In the present study, the concentration levels of heavy metals such as Cr, Fe, Ni, Cu, Zn, As and Pb in soil samples collected from 88 sampling locations around Sinop Province, Turkey were measured using energy dispersive X–ray fluorescence spectroscopy (EDXRF). To interpret and to evaluate the pollution status and distribution of heavy metals in soil, metal pollution parameters such as enrichment factor (EF), geo–accumulation index (Igeo), pollution factor (CF) and pollution load index (PLI) and geo–spatial distribution patterns were used. The mean concentrations of Cr, Fe, Ni, Cu, Zn, As, and Pb were found to be 194.73, 39,848.57, 85.02, 43.19, 65.10, 5.66, and 17.01 mg/kg, respectively. Results indicated that the mean concentrations of Cr, Ni, As, and Pb exceeded the world crustal average, with the exception of Fe, Cu, and As. Multivariate analysis results showed that Cr, Ni, Zn, As, and Pb levels in the investigated region were highly influenced by anthropogenic inputs such as agricultural practices. According to the health risk assessment model introduced by USEPA to evaluate the human health risks, the non–carcinogenic risk for children was above the threshold level, but low for adults. Total potential carcinogenic health risks for both children and adults in the study area were in acceptable range. Overall, when health risks are evaluated, it shows that children are more susceptible to non–carcinogenic and carcinogenic health effects of trace metals compared to adults.

Evaluation of heavy metals pollution status in sediments of Calabar River, South-South Nigeria Turning Point from Vision to Action

Evaluation of heavy metals pollution status in sediments of Calabar River, South-South Nigeria Turning Point from Vision to Action

Health risk assessment and spatial distribution characteristics of heavy metal pollution in rice samples from a surrounding hydrometallurgy plant area in No. 721 uranium mining, East China

In order to detect pollution status and spatial distribution characteristics of heavy metals in rice samples from hydrometallurgy plant area in No. 721 uranium mining, East China, a total of 44 rice samples were collected to be analyzed for obtaining heavy metal contents and assessing the pollution degrees of Pb Zn Cu Cr Cd As and U elements by using methods of Nemerow index and potential ecological risk index. The spatial distribution models and health risk evaluation of As and U elements were constructed with Kriging interpolation and carcinogenic risk evaluation model, respectively. The contents of Pb Zn Cu and Cr in rice samples are all lower than the China national food standards, indicating no excess and contamination. The average contents of As (321.86 ng·g−1), Cd (53.67 ng·g−1) and U (1.39 ng·g−1) from the analytical samples exceed standard rates are up to 97.73%, 4.55% and 79.55%, respectively. Single factor pollution indexes of As and U are classified into moderate pollution. And comprehensive pollution index of analytical rice samples are categorized as slight level with characteristics of slight ecological risk, which is mainly caused by U element. Simple Kriging spherical model, the best interpolation model of U contents, presents high U contents in rice samples that are mainly distributed in the south, east and northeast of the study area. Those distribution characteristics are mainly controlled by human activities such as ore transportation, drainage pipe leakage and so on. Meanwhile, the high As contents of rice samples are located in the middle and northwest on the basis of Ordinary Kriging exponential model. For CRi index of consuming rice with high contents of U element, children are more vulnerable to suffer from a high level of the risk than adults. In addition, the TCR index for both of them are higher than the maximum risk interval recommended by US EPA, suggesting there may be certain carcinogenic risk.

Pollution Characteristics and Risk Assessment of Heavy Metals in Sediment from Shenzhen-Zhongshan Channel

In order to study the pollution status of heavy metals in sediments of Shenzhen, the concentrations of heavy metals Cu, Pb, Zn, Cd, Cr, Hg and As in sediments were measured at 15 locations in the western man-made island. The results shows that, on average, Zn was the highest, 108.61mg.kg−1, followed by Cr, the smallest average of Cd was only 0.22mg.kg−1. Except Cd, the coefficient of variation of the remaining 6 heavy metals is relatively small. The coefficient of variation between is 12% to 36%, which is moderately mutated. The coefficient of variation of Cd is 55.73%. In the investigated surface sediments, the levels of 7 heavy metals were low. According to the potential ecological risk assessment, the ecological environment of the sediments in the study area is excellent, and the potential ecological hazard of each heavy metal is low.

Contamination and health risk assessment of heavy metals in soil surrounding an electroplating factory in Jiaxing, China

To investigate the heavy metals pollution degree of in the soil around an electroplating factory and evaluate the health risk caused by contaminated soil. Based on soil in the vicinity of an Electroplating factory in JiaXing, soil in different horizontal distance and depth below wind direction direction of research region were sampled, and the heavy metal content were measured. The heavy metal pollution status was analyzed by using index of Geoaccumulation and health risk assessment. The results showed that the average index of Geoaccumulation (Igeo) of the 7 heavy metal (Cr, As, Pb, Ni, Cu, Zn, Cd) in the region was higher than 5, and it was at the extremely serious pollution level. The content of As in the middle part soil (10～20 cm) reaches the maximum of 2109. 25mg/kg, As pollution is relatively serious, and the average value exceeds the limit by 119.39 times. Cd is the least contaminate, but still reaches a medium-pollution. EDI non-carcinogenic exposure to As was greatest in children when ingestion of oral food. Conclusion Health risk assessment indicates of As intake by oral food has far exceeded the warning value, and there exist a high Risk of cancer, while Ni has a potential Risk of cancer. Therefore, we should pay great attention to these two heavy metal. and prevention and treatment of the polluted soil.

Extracting heavy metal stress indicators from remote sensing imagery using WOFOST model and wavelet packet decomposition algorithm

Heavy metal pollution of crops seriously endangers food security and indirectly threatens human health. Direct measures in the fields and laboratories through on-site sample collection, testing, and analysis are time-consuming and labor intensive, thereby prohibiting their applications in large-scale monitoring. Remote sensing techniques provide an alternative means through examining above-ground vegetation status, e.g. leaf area index (LAI). Heavy metals, however, are typically accumulated in the root of crops, which may also be affected by a large number of external environmental factors besides heavy metals. The objective of this paper, therefore, is to identify heavy metal stress indicators of crops through integrating LAI extraction from remote sensing imagery, weight of rice roots (WRT) estimation by the World Food Study (WOFOST) model, and heavy metal stress indicator identification with the wavelet packet decomposition (WPD) method. First, LAI was retrieved from the HJ CCD data over three continuous years through constructing a relationship between LAI and normalized difference vegetation index (NDVI). Next, dry weight of rice roots (WRT) curves over these three continuous years were estimated using the WOFOST model with multi-temporal LAIs are inputs. Finally, a component (e.g. cfs 14) was identified to represent the heavy metal pollution status with the Wavelet Packet Decomposition (WPD) of the WRT curves of these three years. Validation results suggest that the identified component can successfully represent different levels of heavy metal stress.

Assessment of Heavy Metal Pollution and Human Health Risks Assessment in Soils Around an Industrial Zone in Neyshabur, Iran.

Heavy metal pollution of soils in industrial zones continues to attract attention because of its potential human health risks. The present research is an attempt to assess the pollution status of heavy metals including As, Cd, Cr, Ni, and Pb using various indices like contamination factor (CF), pollution index (IPOLL), and geo-accumulation index (Igeo). In total, 60 surface soil samples were collected from four area (north, south, east, and west) in Khayyam industrial zone from depths of 10-20 cm. The results indicated that average metal concentration ranges (in mg/kg) observed in study soils were 8.84, 1.9, 37.66, 15.77, and 57.33 for As, Cd, Cr, Ni, and Pb, respectively. The concentrations of heavy metals As, Cr, Ni, and Pb with the exception of Cd in soils of southern areas of the industrial zone were higher. Cd concentration vary negligibly in sampling sites of north, south, east, and west. Based on the CF, IPOLL, and Igeo indices, the pollution of soil in regard to concentration of heavy metals was in the following order: Cd > As > Pb > Ni > Zn. Industrial activities have therefore resulted in elevated concentrations of so in the soil environments in the Khayyam industrial zone. Based on the results of human health risk assessments, the soil metals pose negligible carcinogenic and non-carcinogenic risks to the adults and children living in this area. The need for the monitoring of the soil around the industrial zone, especially for Cd and As, is needed to reduce potential environmental issues.