The occurrence of arsenic and heavy metal contamination from natural and anthropogenic sources in the Cobalt Area of Ontario.

Examination of heavy metals (Cr, Cu, Zn, Pb, Hg, Cd and Ni) in overlying water and sediments was conducted in Lake Nkozoa, in a peripheral area of Yaoundé characterized by a high population density and rapid economic development in Cameroon. Sediment samples were collected at the entrance and near the center of the lake, using a raft and polyvinyl chloride (PVC) pipes. They were subjected to water quality parameters, heavy metals comparisons and calculations of pollution indices and ecological risks followed by statistical analysis in order to identify and estimate the sources of metal contamination in overlying water and sediments of the Nkozoa Lake. The physico-chemical parameters of water show that the pH (5 < pH < 6), total dissolved solids (TDS~130 g/L) and conductivity (EC~194.8 µs/cm) are below the recommendations of the WHO. The average heavy metal concentrations in sediments, except Cd, are lower than the upper continental crust (UCC) and several environmental contamination monitoring parameters, such as threshold effect level (TEL), probable effect level (PEL), and severe effect level (SEL). The sediment samples show a low heavy metal contamination degree (class 0) and low potential ecological risk (PER) level, except for Cd and Hg which have high contamination degree (class 1 to 6) and moderate PER. Matrix correlation shows that some parameters like pH, EC, Cr and TDS, Cu, Hg in water have perfect positive correlations (r = 1.00) suggesting common sources of contamination. Cluster analyses coupled with matrix data for sediments revealed that Cd is the most contaminant elements derived from anthropogenic sources.

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Heavy Metal Contamination in Oryza sativa L. at the Eastern Region of Malaysia and Its Risk Assessment

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph19020739 ◽

2022 ◽

Vol 19 (2) ◽

pp. 739

Author(s):

Nur Syahirah Zulkafflee ◽

Nurul Adillah Mohd Redzuan ◽

Sara Nematbakhsh ◽

Jinap Selamat ◽

Mohd Razi Ismail ◽

...

Keyword(s):

Heavy Metals ◽

Risk Assessment ◽

Heavy Metal ◽

Cancer Risk ◽

Health Risk ◽

Health Risk Assessment ◽

Metal Contamination ◽

Heavy Metal Contamination ◽

Anthropogenic Sources ◽

Acceptable Limit

Paddy plants tend to accumulate heavy metals from both natural and anthropogenic sources, and this poses adverse risks to human health. The objective of this study was to investigate heavy metal contamination in paddy plants in Kelantan, Malaysia, and its health risk assessment. The bioaccumulation of heavy metals was studied by means of enrichment (EF) and translocation factors (TF). The health risk assessment was performed based on USEPA guidelines. The EF for heavy metals in the studied areas was in the descending order of Cu > As > Cr > Cd > Pb. Meanwhile, Cr and Pb exhibited higher TF values from stem to grain compared with the others. The combined hazard index (HI) resulting from five heavy metals exceeded the acceptable limit (HI >1). The lifetime cancer risk, in both adult and children, was beyond the acceptable limit (10−4) and mainly resulted from exposure. The total cancer risk (CRt) due to simultaneous exposures to multiple carcinogenic elements also exceeded 10−4. In conclusion, intake of heavy metal through rice ingestion is likely to cause both non-carcinogenic and carcinogenic health risks. Further research is required to investigate the extent of heavy metal contamination in agricultural soils and, moreover, to establish human exposure as a result of rice consumption.

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Heavy metal pollution status in surface sediments of the Khajeh Kory River, north Iran

Water Science & Technology ◽

10.2166/wst.2020.202 ◽

2020 ◽

Vol 81 (6) ◽

pp. 1148-1158

Author(s):

Maryam Zare Khosheghbal ◽

Marjan Esmaeilzadeh ◽

Fereydoun Ghazban ◽

Mohammad Ebrahim Charmsazi

Keyword(s):

Heavy Metals ◽

Heavy Metal ◽

Metal Pollution ◽

Heavy Metal Pollution ◽

Metal Contamination ◽

Surface Sediments ◽

Heavy Metal Contamination ◽

Principal Component ◽

Anthropogenic Sources ◽

Riverbed Sediments

Abstract This study aimed at exploring the extent of likely sources of heavy metal pollution in sediments of the Khajeh Kory riverbed in the north of Iran. In order to assess the heavy metal contamination, samples from surface sediments in 10 stations covering the river were collected and analysed to determine heavy metal contents including Cd, Cu, Ni, Pb, Zn, Mn, Co, Al, and Fe. Three guidelines were applied to assess the heavy metal contamination. Compared with the global average values, the calculated enrichment factors indicated high values for Fe, Mn, Cd, Co, and Cu, and very high values for Pb and Zn. The results obtained from principal component analysis revealed that the geogenic and anthropogenic sources were the main causes of the widespread enrichment of heavy metals in the riverbed sediments. The results suggested that the riverbed sediments were contaminated with heavy metals, which contribute to the freshwater toxicity in the ecosystem of the Khajeh Kory River.

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Characteristics of heavy metal contamination by anthropogenic sources in artificial lakes of urban environment

KSCE Journal of Civil Engineering ◽

10.1007/s12205-015-0534-6 ◽

2015 ◽

Vol 20 (1) ◽

pp. 121-128 ◽

Cited By ~ 4

Author(s):

Kyung Yang ◽

Taekwoo Nam ◽

Kyoungphile Nam ◽

Young-Jin Kim

Keyword(s):

Heavy Metal ◽

Urban Environment ◽

Metal Contamination ◽

Heavy Metal Contamination ◽

Anthropogenic Sources ◽

Artificial Lakes

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Feasibility of using environmental covariates and machine learning to predict the spatial variability of selected heavy metals in soils

10.5194/egusphere-egu2020-12378 ◽

2020 ◽

Author(s):

Mojtaba Zeraatpisheh ◽

Rouhollah Mirzaei ◽

Younes Garosi ◽

Ming Xu ◽

Gerard B.M. Heuvelink ◽

...

Keyword(s):

Machine Learning ◽

Heavy Metals ◽

Heavy Metal ◽

Spatial Distribution ◽

Random Forest ◽

Metal Contamination ◽

Heavy Metal Contamination ◽

Prediction Performance ◽

Anthropogenic Sources ◽

Environmental Covariates

Heavy metal contamination in soil is a major environmental issue intensified by rapid industrial and population growth. Understanding the spatial distribution of soil contamination by heavy metals in the ecosystem is a necessary precondition to monitor soil health and to assess the ecological risks. The main sources of heavy metals in soil are natural and anthropogenic sources. Natural sources are typically released of heavy metals from rock by weathering and atmospheric precipitation. Anthropogenic sources are related to industrialization, rapid urbanization, agricultural practices, and military activities. We analyzed a total of 358 topsoil samples (0&#8211;30 cm) collected in Golestan province in the northeast of Iran based on a regular square grid networks with 1,700 squares each sized 2.5 km&#178;(random sampling within the grid). From these samples, we determined the spatial distribution of Cd, Cu, Ni, Zn, and Pb using random forest (RF). A multi-spectral image (Landsat 8), and environmental derivatives calculated from terrain attributes, climatic parameters, parent material, land use maps, distances to mine sectors, main roads, industrial sites, and rivers were used as covariates to predict the spatial distribution of concentrations of heavy metals. The multi-collinearity of the predictors was examined by the variance inflation factor (VIF), and a feature selection process (genetic algorithm) was applied to avoid noise and optimize the selected input variables for the final model. The predictive accuracy of RF model was assessed by the mean prediction error (ME), root mean squared error (RMSE), and coefficient of determination (R2) using 5-fold cross-validation technique. The results showed that the concentration levels (mg kg-1) of Cd, Cu, Pb, Ni, and Zn varied from 0.02 to 2.75, 9.70 to 93.70, 6.80 to 114.20, 9.50 to 93.20, and 25.10 to 417.4, respectively. The best prediction performance was for Ni (RMSE=9.9 mg kg-1 and R2=56.6%), and the lowest prediction performance for Cd (RMSE=0.4 mg kg-1 and R2=28.0%). Environmental covariates that control soil moisture and water flow along with climatic factors were the most important variables to define the spatial distribution of soil heavy metals. We conclude that the RF model using easily accessible environmental covariates is a promising, cost-effective and fast approach to monitor the spatial distribution of heavy metal contamination in soils.Keywords: Heavy metals; digital soil mapping; machine learning; random forest; spatial variation; soil pollution.

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Effects of heavy metal contamination from anthropogenic sources on Dasarahalli tank, India

Lakes & Reservoirs Research & Management ◽

10.1111/j.1440-1770.2007.00337.x ◽

2007 ◽

Vol 12 (3) ◽

pp. 121-128 ◽

Cited By ~ 15

Author(s):

H. Lokeshwari ◽

G. T. Chandrappa

Keyword(s):

Heavy Metal ◽

Metal Contamination ◽

Heavy Metal Contamination ◽

Anthropogenic Sources

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Assessment of Heavy Metal Profile in Commercially Packaged Water in Ado Metropolis, Ekiti State, Nigeria

Volume 5 - 2020, Issue 9 - September - International Journal of Innovative Science and Research Technology ◽

10.38124/ijisrt20jun361 ◽

2020 ◽

Vol 5 (5) ◽

pp. 323-328

Author(s):

Oluwatuyi SHEGUN Victor ◽

Adewumi Michael Onasanmi ◽

Makanjuola Bosede Christianah ◽

Sam-Ijadele Oluwakemi Ifedayo ◽

Bello Mojisola ◽

...

Keyword(s):

Heavy Metals ◽

Heavy Metal ◽

Water Supply ◽

Metal Contamination ◽

Fossil Fuels ◽

Heavy Metal Contamination ◽

Anthropogenic Sources ◽

Potable Water Supply ◽

Domestic Use ◽

Hands And Feet

Commercially packaged water has been the main source of water supply to residents of Ado Metropolis; due to lack of potable water supply, individuals depend on commercial packaged water for drinking and domestic use. As a result of this, one has little or no assurance on the quality and safety of the water and its source. Heavy metal contamination includes exposure to lead, mercury, arsenic and cadmium, heavy metal contamination in Ado metropolis includes anthropogenic sources which includes activities of mining industries as discharge their untreated effluents into nearby water sources, other source of contamination includes automobile source that releases zinc, arsenic and copper; insecticides which releases arsenic and burning of fossil fuels which releases nickel, vanadium and mercury. Heavy metals cause general body weakness, abdominal pain, shortness of breath, chills, diarrhea, vomiting and tingling in the hands and feet when consumed. Hence, this study is important because it will reveal the presence of heavy metals in sampled waters in Ado Metropolis and also compare with WHO standard which in turn gives room for the suggestion of mitigating measures to regulate the sale of these public waters. Some brands of commercially packaged were purchased from different markets in Ado metropolis based on accessibility and high demands.

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