Heavy metal enrichment of soil in Sarcheshmeh copper complex, Kerman, Iran

Rastmanesh, Fatemeh; Moore, Farid; Kharrati-Kopaei, Mahmood; Keshavarzi, Behnam; Behrouz, Masoume

doi:10.1007/s12665-010-0526-2

Cited by 53 publications

(38 citation statements)

References 31 publications

(35 reference statements)

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“…3.4.1. Columns of 1 to 4 DU are measured above the smelters of Sar Cheshmeh copper complex (Rastmanesh et al, 2010(Rastmanesh et al, , 2011. Emissions of oil industries located on the Khark Island (Ardestani and Shafie-Pour, 2009;Fioletov et al, 2013) are also observed, with columns around 1 to 2 DU.…”

Section: Global Distributionsmentioning

confidence: 93%

Retrieval of near-surface sulfur dioxide (SO<sub>2</sub>) concentrations at a global scale using IASI satellite observations

et al. 2016

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Abstract. SO 2 from volcanic eruptions is now operationally monitored from space in both the ultraviolet (UV) and thermal infrared (TIR) spectral range, but anthropogenic SO 2 has almost solely been measured from UV sounders. Indeed, TIR instruments are well known to have a poor sensitivity to the planetary boundary layer (PBL), due to generally low thermal contrast (TC) between the ground and the air above it. Recent studies have demonstrated the capability of the Infrared Atmospheric Sounding Interferometer (IASI) to measure near-surface SO 2 locally, for specific atmospheric conditions. In this work, we develop a retrieval method allowing the inference of SO 2 near-surface concentrations from IASI measurements at a global scale. This method consists of two steps. Both are based on the computation of radiance indexes representing the strength of the SO 2 ν 3 band in IASI spectra. The first step allows the peak altitude of SO 2 to be retrieved and near-surface SO 2 to be selected. In the second step, 0-4 km columns of SO 2 are inferred using a look-up table (LUT) approach. Using this new retrieval method, we obtain the first global distribution of near-surface SO 2 from IASI-A, and identify the dominant anthropogenic hotspot sources and volcanic degassing. The 7-year daily time evolution of SO 2 columns above two industrial source areas (Beijing in China and Sar Cheshmeh in Iran) is investigated and correlated to the seasonal variations of the parameters that drive the IASI sensitivity to the PBL composition. Apart from TC, we show that humidity is the most important parameter which determines IR sensitivity to nearsurface SO 2 in the ν 3 band. As IASI provides global measurements twice daily, the differences between the retrieved columns for the morning and evening orbits are investigated. This paper finally presents a first intercomparison of the measured 0-4 km columns with an independent iterative retrieval method and with observations of the Ozone Monitoring Instrument (OMI).

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Section: Global Distributionsmentioning

confidence: 93%

Retrieval of near-surface sulfur dioxide (SO<sub>2</sub>) concentrations at a global scale using IASI satellite observations

et al. 2016

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“…The results obtained were used to determine the Contamination Factor (CF), degree of contamination (Cdeg), Enrichment Factor (EF) and geoaccumulation Index (Igeo) of the metals in the studied environment. To assess the level of heavy metals contamination in gold mining sites and surroundings, CF and Cdeg were calculated using the method presented by Rastmanesh et al (2010). This method is commonly used by numerous researchers as an indicator of contamination in sediments and soils (Ghadimi, 2014;Banu et al, 2013;Iqbal et al, 2013;Abhijit and Ramkrishna, 2017).…”

Section: Data Processingmentioning

confidence: 99%

“…In the present study the average Upper Continental Crust (UCC) was used (Taylor and Mclennan, 1985;Esser and Turekian, 1993;Jochum et al, 1993). C x F is defined according to four categories given as follows: <1 = low contamination factor, 1-3 = moderate contamination factors, 3-6 = considerable contamination factors and> 6 = very high contamination factor (Rastmanesh et al, 2010;Likuku et al, 2013;Sadhu et al, 2012).…”

Section: Data Processingmentioning

confidence: 99%

Environmental Pollution by Heavy Metals in the Gold Mining Region of East Cameroon

Blanchard¹,

Louis²,

Abdourahimi³

et al. 2018

American Journal of Environmental Sciences

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The main objective of this study is to assess the level of heavy metals pollution in soil samples collected around gold mines located in Betaré Oya (BO) and Batouri (BA) in Eastern Cameroon. Elemental analysis of soil samples was carried out using Quant´X EDXRF spectrometer. Its sensitivity and accuracy were increased by using the Fundamental Parameter approach for quantification of the results. Analysis results showed high content of iron (39300±200 ppm), the presence of manganese (730±70 ppm), arsenic (4±2 ppm), zirconium (314±4 ppm) and lead (79±9 ppm) as compared to worldwide average upper continental crust (UCC). The mean Enrichment Factors (EF) decrease as Pb>As>Zr>Mn>Fe>Y>Ga>Zn>Cu>Ni> Rb>Sr>Sn>Ba in agreement with the Contamination Factors (CF). The values of pollution load index (PLI) were found to be low in all the studied samples and indicate that the studied sites in Bétaré Oya and Batouri are in low pollution status regarding the total of the studied metals. Results of this study pointed out that soils examined in the gold mining areas of Eastern Cameroon are polluted by heavy metals. It is therefore important that measures should be geared towards strengthening the monitoring of mining areas to stem down the level of contamination of soil. Phytoremediation of sites after closing open pits or the biogeosystem method would be a suitable way of regulation of the studies areas.

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“…This could be tantamount to their bioavailability considering the conclusion of Ma & Rao (1997). Rastmanesh et al, (2010) has expressed that residual fraction constitutes a significant proportion for all elements. Kaasalainen & Yli-Halla (2003), the proportion of the residual fraction reflects native metal concentration in soil.…”

Section: Bioavamentioning

confidence: 99%

Spatial Distribution and Bioavailability of Some Essential Trace Elements in Southern Ondo State Nigeria

Tomori

Amoo²,

Aiyesanmi³

et al. 2015

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The total elemental content of soil though may give abundance of element concentration but have been found not to be suitable for prediction of environmental bioavailability and toxicity by scientific community. Surface (0-30cm) and subsurface (60-90cm) soil profile in the Southern Ondo State Nigeria were investigated for spatial distribution, bioavailability and mobility of some essential trace elements (Cu, Fe, Mn, Zn). Their spatial distribution were very similar in both surface and subsurface soil environment indicating that similar geochemical factors may be responsible for their distribution. The North was composed of basement complex while the South was largely undifferentiated sedimentary rock. Higher concentrations of Cu, Fe, Mn and Zn were recorded in the North through the centre of study area to lower concentrations in the South. The spatial concentration of the trace elements may have been influenced by the nature of underlying bedrock type. Cu was potentially bioavailable in both surface and subsurface soil environment considering the fact that >50% of its total concentration were in the nonresidual fraction. Other trace elements were not bioavailable because >60% of their total concentrations were found in residual fractions. The relative risk assessment code of Cu (surface; subsurface) indicated progressive risk (MoF1, MoF2, MoF3) from low (2-10; 1-6) through medium (12-30; 10-21) to high risk (25-40; 21-35) in both surface and subsurface soil environment while Zn (surface) shows similar trend (1-5; 11-21; 22-35) only in the surface soil environment. Other elements show some level of risk to no risk. There is likelihood that Cu and/or Mn may be associated with anthropogenic sources.

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Heavy metal enrichment of soil in Sarcheshmeh copper complex, Kerman, Iran

Cited by 53 publications

References 31 publications

Retrieval of near-surface sulfur dioxide (SO<sub>2</sub>) concentrations at a global scale using IASI satellite observations

Retrieval of near-surface sulfur dioxide (SO<sub>2</sub>) concentrations at a global scale using IASI satellite observations

Environmental Pollution by Heavy Metals in the Gold Mining Region of East Cameroon

Spatial Distribution and Bioavailability of Some Essential Trace Elements in Southern Ondo State Nigeria

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Heavy metal enrichment of soil in Sarcheshmeh copper complex, Kerman, Iran

Cited by 53 publications

References 31 publications

Retrieval of near-surface sulfur dioxide (SO&lt;sub&gt;2&lt;/sub&gt;) concentrations at a global scale using IASI satellite observations

Retrieval of near-surface sulfur dioxide (SO&lt;sub&gt;2&lt;/sub&gt;) concentrations at a global scale using IASI satellite observations

Environmental Pollution by Heavy Metals in the Gold Mining Region of East Cameroon

Spatial Distribution and Bioavailability of Some Essential Trace Elements in Southern Ondo State Nigeria

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Product

Resources

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Retrieval of near-surface sulfur dioxide (SO<sub>2</sub>) concentrations at a global scale using IASI satellite observations

Retrieval of near-surface sulfur dioxide (SO<sub>2</sub>) concentrations at a global scale using IASI satellite observations