Assessing Heavy Metal Pollution in the Surface Soils of Central Anatolia Region of Turkey

Horasan, Bilgehan Yabgu; Sarayonu, Technologies; Arik, Fetullah

doi:10.26471/cjees/2019/014/063

Cited by 20 publications

(4 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…There are many studies on the determination of pollution status due to anthropogenic (urban, agriculture, industrialization, road and railway environment) activities and the determination of the effects of various applications on heavy metal contents using pollution quality indexes. (Uğulu, 2015¸ Uğulu et al2019Coşkun et al 2006;Yılmaz et al 2003;Çelebi and Kara 2007;Demir et al 2016;Göçmez 2006;Haktanır et al, 1995;Kara et al, 2004;Tokalıoğlu and Kartal 2005;Sezgin et al, 2003;Horasan and Arık 2019;Sungur et al, 2014). In addition, the mobility and bioavailability of heavy metals were determined by sequential extraction method in soils and greenhouses in various regions (Sungur et al, 2015;Sungur et al, 2021).…”

Section: Intrоduсtiоnmentioning

confidence: 99%

Using Contamination Indices for Assessments of Heavy Metals Status of Soils around Mercury Mine, in Kurşunlu, (Konya) Province

Akay¹,

Özaytekin

2022

SJAFS

View full text Add to dashboard Cite

The objective of this study was to establish contamination level for, Pb, Zn, Cu, Ni, Cr, As, Hg, Sb, Co, and Cd in soils around the old Hg mine area central part of Turkey. 34surface samples from mine area were collected. Samples were digested and the metals were determined by ICP-OES and assess metal contamination in soils by using Enrichment factor (EF), contamination factor (Cf), Geoaccumulation index (Igeo), hazard quotient (HQ) (individual metal), contamination index (Cd), modified contamination index (mCd), pollution load index (PLI), and hazard load index (HLI) (multi metal). Enrichment factor (EF), contamination factor (Cf), Geoaccumulation index (Igeo), hazard quotient (HQ)indicate that the soil in the most of studied points were unpolluted, slightly polluted or moderate degree of pollution with respect to Pb, Cr, Cd, Zn, Cu, Co and Ni, while the soils in all studied stations were extremely contaminated with respect to Hg, Sb and As. When the obtained result to by evaluated the cumulative effect of metal pollution load index (PLI), the contamination degree (Cd) and modified Contamination Degree (mCd), and hazard load index were found to be very high high pollution, ultra-high degree pollution and medium pollution respectively indicating that the studied soils in were polluted by total of studied heavy metals.

show abstract

Section: Intrоduсtiоnmentioning

confidence: 99%

Using Contamination Indices for Assessments of Heavy Metals Status of Soils around Mercury Mine, in Kurşunlu, (Konya) Province

Akay¹,

Özaytekin

2022

SJAFS

View full text Add to dashboard Cite

show abstract

“…2004;Tokalıoğlu and Kartal 2005;Sezgin et all,. 2003;Horasan and Arık 2019 ). Mobility and bioavailability of heavy metals were determined by the sequential extraction method (Sungur et al, 2015;Sungur et al, 2021) in a small number of studies carried out on some soil types and greenhouses.…”

Section: Introductionmentioning

confidence: 99%

Characterization of Heavy Metal Fractions in the Soil Developed on Volcanic Rocks of Karadağ Mountain by Sequential Extraction, Turkey

Özaytekin

Dedeoğlu

2022

Preprint

View full text Add to dashboard Cite

In this work, the BCR (Community Bureau of Reference) sequential extraction scheme (exchangeable weak acid-soluble, reducible, oxidizable, and non-extractable metal fractions) was applied to selected soil samples. Soil samples were taken from 15 different sites and the contents of Cd, Cr, Cu, Ni, Pb, and Zn in the mobile and residual fractions of the soils formed on the Karadağ volcanic materials were determined by the BCR (BCR method, currently known as SM&T (the Standards Measurements and Testing Programme) sequential extraction procedure and the mobility of each metal was revealed on the basis of fractions. The order of heavy metals in each fraction of Karadağ samples was observed as follows: Cd: Acid and Water Soluble > Reducible > Oxidizable > Residual; Cr: Residual > Oxidizable > Reducable > Acid and Water Soluble; Cu: Residual > Oxidizable > Reducable > Acid and Water Soluble; Ni: Residual > Reducable > Oxidizable > Acid and Water Soluble; Pb: Reducible > Residual > Oxidizable > Acid and Water Soluble; Zn: Residual > Reducable > Oxidizable > Acid and Water Soluble According to the data obtained, while the concentrations of Cd and Pb in the mobile fraction were higher than those in the residual (immobile) fraction in Karadağ; Cr, Cu, Ni, and Zn were higher in the immobile fraction. When the higher mobility levels of, Cd and Pb are evaluated in terms of environmental pollution and toxicity in soil, these metals have been found to have a higher potential risk than other metals. Because the metals in the first three fractions can dissolve depending on environmental conditions, pollute underground and other water resources, and these metals can be taken up by plants. According to the results obtained, Cd and Pb are likely to be in close contact with plant roots and thus could potentially affect soil fertility. In order to avoid threats to productivity and food security in the long term, it has been determined that further trace metal inputs to soils in these areas should be avoided by agricultural management or other means.

show abstract

“…Therefore, stream sediments have become a vital enrichment site for pollutants in the earth surface system and can reflect the geochemical characteristics of the river basin [3]. The geochemical information on stream sediments is widely used in large-scale geochemical mapping and plays an essential role in investigating the regional environmental background and evaluating environmental pollution [4][5][6][7]. In China, the Cu geochemical map was drawn based on the analysis results of millions of stream sediments across the country, revealing the distribution of Cu at the national scale [8].…”

Section: Introductionmentioning

confidence: 99%

Concentration, Spatial Distribution and Potential Ecological Risk of Heavy Metals in Stream Sediments of the Misiones Province, Argentina

et al. 2021

View full text Add to dashboard Cite

One hundred and twenty-eight stream sediment samples were collected in the Misiones province of Argentina by the low-density geochemical mapping project of the China Geological Survey. The analyzed data were used to study the concentration, spatial distribution, local pollution level and potential ecological risk of eight heavy metals (As, Cd, Cr, Cu, Hg, Ni, Pb and Zn) by factor analysis, geoaccumulation index (Igeo), enrichment factor (EF) and the Hakanson’s potential ecological risk index (Eir and RI) methods. Results showed that the background values (median) of those elements were 2.97 ppm, 0.13 ppm, 212.60 ppm, 322.53 ppm, 0.013 ppm, 64.42 ppm, 12.58 ppm, and 198.85 ppm, respectively. Except for Hg, the contents of other elements were higher than the abundance of continental crust. The spatial distribution of Cu and Zn in stream sediments were consistent, while that of other elements were different. The factor analysis results implied that Cd, Cr, Cu, Ni and Zn were mainly affected by geological background and inherited the characteristics of regional parent rocks. Furthermore, Pb was not only controlled by natural conditions but also related to human activities, while As and Hg represented the anthropogenic sources, and their concentrations were affected by human activities. The results of Igeo and EF told us that Cu was heavily polluted in stream sediments; Pb and Zn were largely mildly polluted; As, Cr, Cd, Ni and Hg were mostly nonpolluted. The ecological risks were ordered as As > Cu > Cd > Pb > Hg > Cr > Ni > Zn. In general, the potential ecological risk of heavy metals in the Misiones province was low, but As and Cu also have a high ecological risk at some sampling points, which should be considered.

show abstract

Assessing Heavy Metal Pollution in the Surface Soils of Central Anatolia Region of Turkey

Cited by 20 publications

References 0 publications

Using Contamination Indices for Assessments of Heavy Metals Status of Soils around Mercury Mine, in Kurşunlu, (Konya) Province

Using Contamination Indices for Assessments of Heavy Metals Status of Soils around Mercury Mine, in Kurşunlu, (Konya) Province

Characterization of Heavy Metal Fractions in the Soil Developed on Volcanic Rocks of Karadağ Mountain by Sequential Extraction, Turkey

Concentration, Spatial Distribution and Potential Ecological Risk of Heavy Metals in Stream Sediments of the Misiones Province, Argentina

Contact Info

Product

Resources

About