Trace elements in Gobi soils of the northeastern Qinghai-Tibet Plateau

Li, Leiming; Wu, Jun; Lü, Jian; Xu, Juan

doi:10.1080/02757540.2020.1817403

Cited by 10 publications

(10 citation statements)

References 35 publications

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“…It is worth mentioning that the correlations between As, Ba, U, and other elements were all relatively weak. There was no obvious correlation between As and other elements, which is a similar finding to other research [ 10 , 48 ]. The predominant reason for this finding is that As mainly derives from anthropogenic sources, such as industrial activities [ 35 , 49 ].…”

Section: Resultssupporting

confidence: 90%

“…Fuel combustion, oil combustion, and brake pad wear will cause enrichment of Cd, Pb, Zn, Cu, and other elements [ 52 ]. For example, the emission of Zn in automobile lubricants, the decomposition of trace element components in automobile tires, Cd is mostly derived from engine oils, abrasion of brake linings, and tearing of tires, and the emission of Cd and Cu will all cause enrichment of relevant trace elements [ 48 , 53 ]. Pb mainly comes from the release of leaded gasoline and kerosene [ 23 ].…”

Section: Resultsmentioning

confidence: 99%

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Geochemical and Statistical Analyses of Trace Elements in Lake Sediments from Qaidam Basin, Qinghai-Tibet Plateau: Distribution Characteristics and Source Apportionment

Wei

Wang

et al. 2022

IJERPH

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The safety of lake ecosystems on the Qinghai-Tibet Plateau (QTP) has attracted increasing attention, owing to its unique location and ecological vulnerability. Previous studies have shown that the aquatic systems on the QTP have been polluted to varying degrees by trace elements. However, little is known of the distribution and sources of trace elements in lakes in the northeast QTP. Here, 57 sediment samples were collected from six lakes (Dasugan Lake, Xiaoqaidam Lake, Kreuk Lake, Toson Lake, Gahai Lake and Xiligou Lake) in the Qaidam Basin, northeast QTP, and the trace elements (V, Cr, Ni, Cu, Zn, As, Ba, Tl, Cd, Pb, and U) were analyzed. The results indicated that Ba, Zn, V, and Cr had a higher content and a wider distribution relative to the other tested elements. Correlation coefficient matrix results showed that the trace elements in the study area were strongly correlated, revealing their source of similarity. Self-organizing maps (SOM, an artificial neural network algorithm) results indicated that the degree of pollution in Xiaoqaidam Lake was the highest, and that of Dasugan Lake was the lowest. Furthermore, all sampling points were clustered into four categories through K-means clustering. The positive matrix factorization (PMF) results indicated that atmospheric deposition and anthropogenic inputs were the main trace elements sources in these lakes, followed by traffic emission and geological sources. Collectively, trace elements of six lakes in Qinghai-Tibet Plateau presented high-content and pollution characteristics. This research provides a scientific basis for better water environment management and ecological protection on the QTP.

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Section: Resultssupporting

confidence: 90%

Section: Resultsmentioning

confidence: 99%

Geochemical and Statistical Analyses of Trace Elements in Lake Sediments from Qaidam Basin, Qinghai-Tibet Plateau: Distribution Characteristics and Source Apportionment

Wei

Wang

et al. 2022

IJERPH

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“…Notably, the non-carcinogenic risks for dermal contact and ingestion were lower in residential and recreational adults than in children. This suggested that adults were less susceptible than children when subjected to HMs in water, which was in line with the conclusions of earlier investigations (Xiao et al, 2019;Li et al, 2020b;Aravinthasamy et al, 2021;Karunanidhi et al, 2021c;Karunanidhi et al, 2021d;Li D. et al, 2022). Saline, however, was unfit for drinking, so the health risk from ingestion was not calculated.…”

Section: Non-carcinogenic and Carcinogenic Risks In Surface Watersupporting

confidence: 80%

Multiple evaluations, risk assessment, and source identification of heavy metals in surface water and sediment of the Golmud River, northeastern Qinghai-Tibet Plateau, China

Cai

Zhu

et al. 2023

Front. Environ. Sci.

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The water quality of the Golmud River is essential for environmental preservation and economic growth of Golmud city and Qarhan Salt Lake in China. Thirty-four samples of surface water and sediment from seventeen places in the Golmud River and thirty-two dustfall samples in the Qaidam Basin were collected. The concentrations of heavy metals (HMs) were measured; water quality, risk assessment, and multiple source analysis were applied. Concentrations of HMs in water were Zn > Cu > Ni > As > Pb > Cd > Hg, and in sediment were Ni > Zn > Pb > As > Cu > Cd > Hg. In water, the Nemerow pollution index (NP) values indicated that most of the sampling points seemly were seriously polluted; other water quality assessment results suggested no pollution. In sediment, the concentrations of 27% HMs exceeded the background values of soil in Qinghai; 48% exceeded the Earth crust background values, which were As, Hg, and Cd. The single factor index method (Pi), geological accumulation index (Igeo), and contamination factor (CF) revealed that As pollution is serious, followed by Hg and Cd; the pollution load index (PLI) and modified pollution index (mCd) values indicated that 64% and 57% of samples were polluted. NP values are shown serious pollution. The ecological risk results demonstrated a low risk in water and a medium risk in sediment. The average total hazard quotient values in sediment and water for adults and children revealed low non-carcinogenic risks. Carcinogenic risk indicated Ni in water and sediment, and As in sediment may be involved in cancer risk. Multivariate statistics showed that the HMs mainly came from nature, and human activities will also impact them. The upper continental crust values indicated that As and Hg have high background values. The saline dust storm was one of the essential sources of HMs, especially Hg. Various provenances constituted the material cycling of HMs in the surface environment.

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“…Physicochemical, microbiological, and trace element parameters of water are the most commonly used indicators to determine the health of water bodies. On the other hand, heavy metals in water bodies are among the most dangerous pollutants due to their persistence, carcinogenicity and environmental toxicity [13][14][15][16][17]. Many regions of the planet face severe water pollution, especially heavy metals [12,[18][19].…”

Section: Introductionmentioning

confidence: 99%

Assessment of Water Quality, Ecological and Health Risks of Inland Water Bodies in Mexico: A Case Study of Lake Chapala

Ramírez-Sánchez,

Fajardo-Montiel

2024

AJEE

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Water security threatens the world's population, so the assessment of the quality of water in reservoirs is one of the priority issues and represents a challenge for the sustainability of ecosystems and the human population. The aim is to evaluate the physicochemical parameters and heavy metals of the water of Lake Chapala to evaluate its water quality, during the period 2010-2023, and to estimate the ecological and health risks. The results will provide valuable information on water quality management and protection of human health. The design is an ecological study, using water quality, pollution risk, ecological and health risk indices. The place and duration of the study is the Lake Chapala during the period 2010-2023. The methodology consisted of obtaining the quality data of the Water Lake Chapala through the State Water Commission, the National Water Commission and studies conducted by the University of Guadalajara. The analyses were conducted on a monthly basis from 2010 to 2023. Subsequently, the CWQI, WQI, NP, HPI, HEI, DC, PERI, HQ, HI, THI, CR and TCR indices were calculated to determine water quality and ecological and health risks. The results showed que the distribution of parameter concentration showed great spatial variation, but not temporal; the TDS, Turbidity, pH, Al, As, Cr, Cu, Mn, Pb and Zn with percentages above the CCME standard, but most of them within the NOM-001-SEMARNAT-2021. The heavy metals Al, As, Cr, Pb and Zn have concentration percentages of more than 100% with respect to the international standard. The remaining 14 parameters are within both national and international standards. Pearson's correlation analysis showed that none of the trace elements have positive correlations with each other. Water quality according to the WQI of 178 was categorized as poor quality, while for the CWQI almost all uses except grazing, water quality is poor (20-35). According to the NP index (3.8 to 670), the concentrations of heavy metals showed high levels of contamination. The HPI index (88.6) showed moderate to high levels of heavy metal contamination. The HEI index showed <10 levels, indicating low contamination. The DC had a value of 0.2-18.2, classified as a high degree of contamination. The PERI index showed that the ecological risk from heavy metals is high. Non-carcinogenic risk indices indicate that lake water is not suitable for drinking, and poses a high health risk via ingestion, while dermal contact does not pose a health risk to residential and recreational recipients. The carcinogenic risk index is negligible to acceptable. The conclusion is according to the water quality, ecological and health risk indices, the water quality of Lake Chapala is poor, with a high degree of contamination and represents ecological and health risks (non-carcinogenic). It is recommended that the use of lake water does not include its ingestion to avoid health problems, and it is important to take measures to sanitize the lake to avoid ecological and health risks.

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Trace elements in Gobi soils of the northeastern Qinghai-Tibet Plateau

Cited by 10 publications

References 35 publications

Geochemical and Statistical Analyses of Trace Elements in Lake Sediments from Qaidam Basin, Qinghai-Tibet Plateau: Distribution Characteristics and Source Apportionment

Geochemical and Statistical Analyses of Trace Elements in Lake Sediments from Qaidam Basin, Qinghai-Tibet Plateau: Distribution Characteristics and Source Apportionment

Multiple evaluations, risk assessment, and source identification of heavy metals in surface water and sediment of the Golmud River, northeastern Qinghai-Tibet Plateau, China

Assessment of Water Quality, Ecological and Health Risks of Inland Water Bodies in Mexico: A Case Study of Lake Chapala

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