Assessment of Toxic, Essential, and Other Metal Levels by ICP-MS in Lake Eymir and Mogan in Ankara, Turkey: An Environmental Application

Yüksel, Bayram; Arıca, Enes

doi:10.46770/as.2018.05.001

Cited by 36 publications

(9 citation statements)

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“…The analytical procedure followed the analytical protocols of [ 22 , 23 ]. The applicability of ICP-MS method covers wider geoscience-related investigation, such as measuring the extent of metal content in the soil and water samples [ 31 ].…”

Section: Methodsmentioning

confidence: 99%

The search for plausible economic mineral deposits in the central parts of Tanzania; insight from stream sediment geochemistry, multivariate statistics and geostatistics

Nunoo,

Mvile,

Abu

et al. 2023

Heliyon

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Section: Methodsmentioning

confidence: 99%

The search for plausible economic mineral deposits in the central parts of Tanzania; insight from stream sediment geochemistry, multivariate statistics and geostatistics

Nunoo,

Mvile,

Abu

et al. 2023

Heliyon

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“…The measurement of nitrogen matter was conducted by the AutoAnalyzer 3, the measurement of chlα was conducted by the fluorescence of Trilogy, Turner Designs, and that of phosphorus was obtained with the help of molybdenum-antimony-scandium spectrophotometry. A titration method using silver nitrate was used to confirm the value of Cl − , and the content of heavy-metal elements used the spectrometer of ICP-AES (Yuksel and Arica, 2018), with a recovery percentage of 94.6%-101.2% for the certified reference material (CRM) of three heavy-metal elements in the text, and the LOD values of Cu, As, and Hg were 0.165, 0.025, and 0.005 μg/L, respectively. Analyses were carried out following the instructions in the Technical Specifications Requirements for Monitoring of Surface Water and Waste Water (Qi, 2002).…”

Section: Study Area and Datasetsmentioning

confidence: 99%

Assessments of surface water quality through the use of multivariate statistical techniques: A case study for the watershed of the Yuqiao Reservoir, China

Wang

Jia²,

Shi³

et al. 2023

Front. Environ. Sci.

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In light of the fact that water quality has been threatened by human activities, apportionments of potential pollution sources are essential for water pollution control. Multivariate methods were used to assess the water quality in the Yuqiao Reservoir and its surrounding rivers in northern China to identify potential pollution sources and quantify their apportionment. Fifteen variables at 10 sites were surveyed monthly in 2015–2016. The quality at this location was acceptable according to the water quality index (WQI), except for special parameters including chemical oxygen demand (COD), total nitrogen (TN), total phosphorus (TP), and chlorophyll (chlα). Cluster analysis (CA) grouped these datasets into three seasonal groups, July–September, December–March, and the remaining months. Principal component analysis/factor analysis (PCA/FA) identified seven factors that accounted for 79.7%–86.4% of the total variance, and the main sources included cities, rural districts, industries, weather, fertilizers, upstream areas, and vehicles. Absolute principal component scores and multiple linear regression (APCS–MLR) modeling results show that the hierarchical contribution of main pollution sources was ranked in the following order: upstream (26.6%) > urban district pollution source (21.5%) > vehicle emission pollution source (10.9%) in the flood season, upstream (22.3%) > rural district pollution (19.8%) > fertilizer erosion (15.8%) in the normal season, and upstream (26.4%) > urban district pollution (19.0%) > fertilizer erosion (18.8%) in the dry season. Sources from upstream and urban districts explained the most proportion. The matrix was also subjected to positive matrix factorization (PMF). A comparison of PMF and APCS–MLR results showed significant differences in the contribution of potential pollution sources. The APCS–MLR model performed better, as evidenced by a more robust R2 test. Measures should be discussed and implemented in managing upstream areas, sewage treatment facilities, and fertilizer and industrial application.

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“…Heavy metals are defined as those elements having an atomic number greater than 20 and atomic density above 5 g/cm 3 and must exhibit the properties of metal (Ali and Khan, 2017;Raychaudhuri et al, 2021). These metals have adverse effects on living species and humans through various environmental segments (Yuksel and Arica, 2018;Narjala Rama, 2020). Mining creates a large amount of waste rock and tailings containing metal minerals that become exposed to the atmosphere; these are highly susceptible to oxidation and the formation of acid mine drainage when exposed to environmental conditions with abundant water and oxygen present (Akcil and Koldas, 2006).…”

Section: Introductionmentioning

confidence: 99%

Impacts of the development of mineral metal resources on surface water quality in the Mongolian Plateau based on meta-analysis

Liu

Jin³

et al. 2022

Front. Environ. Sci.

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The mining of metal resources is one of the major sources of heavy metals in surface water, but studies on the different characteristics of the impact of the exploitation of mineral metal resources on surface water from a large-scale perspective are lacking. In the present study, we quantified the impacts of mineral metal resource development on As, Cu, Cr, Pb, Zn, Hg, Ni, Cd, Mn, and Fe in the overlying water and sediments of surface water under different scenarios (i.e., different geographic units and different mined metal types) using meta-analysis for the Mongolian Plateau of Mongolia and the Inner Mongolia Autonomous Region of China, which is rich in mineral metal resources and has high exploitation and use intensity. Finally, funnel plots and Egger’s regression analysis were used to test the publication bias of the data. The results show that the order of heavy metal content in the overlying water of the Mongolian Plateau was Fe > Mn > As > Zn > Cu > Pb > Cr > Ni > Cd > Hg, and the order of heavy metal content in the sediment was Fe > Mn > Zn > Cr > Pb > Ni > Cu > As > Cd > Hg. In addition, As, Cr, Zn, Hg, Cd, and Pb in overlying water exceeded the standard to different degrees, among which the contents of As and Pb were 1.4 and 1.3 times higher than the World Health Organization guideline, and the contents of Cr, Pb, Hg, Cd were 1.5, 1.3, 25.4, 2.6 times Chinese environmental quality standards for surface water, and the contents of As, Pb, Zn, Hg were 1.4, 1.3, 4.7, 12.7 times Mongolian water quality standards, respectively. The content of As in sediments was 2.6 times the background value of soil environmental quality in Inner Mongolia. Significant differences existed in the content of heavy metal pollutants in surface water of different countries; the content of heavy metals in the overlying water was significantly higher in Inner Mongolia Autonomous Region of China than in Mongolia. Copper and molybdenum polymetallic mines significantly increased the content of Cd, Cr, Cu, Fe, Hg, Pb, and Zn in the overlying water, while the content of As, Cr, Pb, and Zn in overlying water increased significantly due to lead–zinc mining. However, the mining of gold–silver, lead–zinc, copper–molybdenum, and other polymetallic mines all significantly affected the concentration of As in sediments. The results of the present study can provide data support for environmental protection and the restoration of surface water in metal mining areas of the Mongolian Plateau.

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Assessment of Toxic, Essential, and Other Metal Levels by ICP-MS in Lake Eymir and Mogan in Ankara, Turkey: An Environmental Application

Cited by 36 publications

References 0 publications

The search for plausible economic mineral deposits in the central parts of Tanzania; insight from stream sediment geochemistry, multivariate statistics and geostatistics

The search for plausible economic mineral deposits in the central parts of Tanzania; insight from stream sediment geochemistry, multivariate statistics and geostatistics

Assessments of surface water quality through the use of multivariate statistical techniques: A case study for the watershed of the Yuqiao Reservoir, China

Impacts of the development of mineral metal resources on surface water quality in the Mongolian Plateau based on meta-analysis

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