Next Article in Journal
The Identification of Fouling in Reverse Osmosis in the Treatment of Water with Petroleum Substances
Next Article in Special Issue
The Impact of the Changes in Climate, Land Use and Direct Human Activity on the Discharge in Qingshui River Basin, China
Previous Article in Journal
Determination of Optimal Meshness of Sewer Network Based on a Cost—Benefit Analysis
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Distribution and Geochemical Processes of Arsenic in Lake Qinghai Basin, China

State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China
*
Author to whom correspondence should be addressed.
Water 2021, 13(8), 1091; https://doi.org/10.3390/w13081091
Submission received: 20 March 2021 / Revised: 11 April 2021 / Accepted: 13 April 2021 / Published: 15 April 2021
(This article belongs to the Special Issue Response Mechanism of Non-point Source Nitrogen Output in Farmland)

Abstract

:
Lake Qinghai in the Qinghai-Tibet plateau is the largest lake in China, but the geochemical understanding of arsenic (As) in the lake is lacking. Water, sediment, and soil samples were collected from Lake Qinghai, rivers flowing into the lake, and lands around the lake. Water samples were analyzed for major ions and As, while sediment and soil samples were analyzed for major elements and As. The average As concentration (25.55 μg L−1) in the lake water was significantly higher than that (1.39 μg L−1) in the river water (p < 0.05), due to the evaporative concentration of lake water. The average As concentration (107.8 μg L−1) in the pore water was significantly higher than that in the lake water, due to its secondary release from sediment solid phases in the reductive condition. The average As/Cl, As/SO42− and As/Na molar ratios in the lake water were significantly lower than that in the river water, indicating As was partially transferred from dissolved phase to solid phase in the evaporative concentration process of the lake water. The average As/Ca molar ratio in the lake water was significantly higher than that in the river water, indicating more Ca than As precipitated in the lake water. Furthermore, the average As/Ca molar ratio in the lake water was significantly lower than that in the pore water, indicating more As than Ca was secondarily released from sediment solid phases. The average concentration of As(III) and As(V) were 0.35 and 1.04 μg L−1 for the river water, respectively, and 6.99 and 18.56 μg L−1 for the lake water, indicating As(V) was the predominant As form. The average As concentration was 16.75 mg kg−1 for the lake sediment and 13.14 mg kg−1 for the soil around the lake. Arsenic concentration was significantly negatively correlated with S and Ca concentration in the lake sediments, due to solid dilution effect induced by carbonate and sulfate precipitation. The average As/Sc molar ratio in the sediment (2.06) was significantly higher than that in the soil (1.32), indicating that relatively more As was enriched in the lake sediment.

1. Introduction

Alpine lakes are among the least disturbed aquatic ecosystems [1]. Given their relative remoteness, no local impact masks the effects of large-scale changes, such as climatic and background diffuse contamination [2]. Therefore, alpine lakes can be viewed as sensors of regional and global environmental changes [2,3].
Lake Qinghai, the largest inland lake in China, is located in the arid/semi-arid zone, in the Qinghai-Tibet Plateau [4,5]. Due to its unique geographical location, it has attracted increasing attention worldwide [5,6,7,8,9,10,11]. Measurement of sediment grain-size fractions indicate that sedimentation in the north and southwest of Lake Qinghai is dominated by river input [8]. Elemental carbon and polycyclic aromatic compounds in the lake sediment have been investigated, demonstrating ubiquitous atmospheric deposition of soot and local river inputs of char [7]. Micro-plastics, mainly composed of polyethylene and polypropylene, are predominated in sheet and fiber shapes in the water of Lake Qinghai [11]. Major ion chemistry of the lake water was investigated, showing that the chemical composition of lake water can be mainly ascribed to evaporation and crystallization [5]. The mass balance of major elements in the lake water was studied, indicating that atmospheric deposition might play a significant role in determining the distribution of major elements [4]. Trace elements are essential for biota growth and development, but toxic in higher concentration [12,13,14,15]. However, there have been few geochemical studies conducted on the trace elements in Lake Qinghai [9,10].
Arsenic (As) is considered as being one of the most toxic elements [16,17,18,19,20] and can cause cardiovascular diseases, skin lesions and cancer [21,22,23,24,25]. The As concentration range of 0.1~0.8 μg L−1 in globe lake water and average of 1.5 μg L−1 in world ocean water [12,26]. Due to the evaporative concentration, high As concentrations are also found in shallow groundwater (range: 0.1~96 mg L−1) of the Owens Lake [27], surface water and groundwater (range: 100~259 μg L−1) of the Poopo Lake Basin [28], agricultural evaporation ponds (range: 108~2099 μg L−1) of San Joaquin Valley [29], and groundwater and alkaline lakes (range: 0.11~3680 μg L−1) at the upper Paraguay basin [30]. With the evaporative concentration of water, the increase in As concentration was accompanied with increases in electrical conductivity [27], Cl [29] and Na [30] concentrations, and salinity [31]. High Na (average: 3310 mg L−1) and Cl (average: 5772 mg L−1) concentration in water of Lake Qinghai were observed in our previous studies, as a result of evaporative concentration [9,10]. Therefore, we deduced that As concentration in Lake Qinghai may be influenced by the evaporative concentration process.
The main objectives of this study were to investigate the geochemical distribution and process of As in the water of Lake Qinghai and the enrichment of As in the sediment of Lake Qinghai and soil around the lake area.

2. Materials and Methods

2.1. Study Area

Lake Qinghai (36°32′–37°14′ N, 99°37′–100°45′ E) is located in the northeastern Qinghai-Tibet Plateau, with an altitude of 3194 m, a surface area of 4260 km2, and depths of 21~29 m [4]. The lake is characterized by the Qinghai-Tibet Plateau continental climate, with an average precipitation of 336.6 mm (1951–2005) and evaporation of 925 mm (1959–2000) [32]. The lake is mainly fed by water discharge from the Buha River. The lake sediment is composed predominately of silts, clays, carbonates and illite/chlorite [4,5].

2.2. Sample Collection

Water, sediment, and soil samples were collected in September 2016 (Figure 1). Surface water samples (about 2 m depth) were collected along the Buha River (n = 12) and at Lake Qinghai (n = 23), respectively. In addition, water samples from different depths (from surface to bottom in 4 m intervals) were collected at eight sites at Lake Qinghai (n = 46). The water samples were filtered immediately through 0.45-μm Teflon filter and then were acidified using HNO3 to preserve As speciation. The water samples were transported to the laboratory and kept refrigerated (4 °C) until their analysis.
Surface sediment and soil samples (about 0–20 cm) were collected at Lake Qinghai (n = 22) and lands around the lake (n = 45), respectively. Sediment pore water were extracted by centrifugation for 30 min at 2500 rpm. The supernatant pore water was filtered through 0.45 μm Teflon filter.

2.3. Sample Analysis

Concentrations of Cl and SO42− in water samples were determined by an ion chromatography system (ICS, Dionex ICS-1100, Thermo Scientific, Waltham, MA, USA). Concentrations of K, Na, Ca, Mg, Fe, and Al in the water were measured using inductively coupled plasma mass spectroscopy (ICP-MS, X Series II, Thermo Electon, Waltham, MA, USA). Concentration of As in the water were determined using hydride generation-atomic fluorescence spectrometry (HG-AFS, Haiguang Instruments, Beijing, China) [33,34]. To determine the total As concentration, the water samples were pretreated with thiourea to reduce all As to As(III) prior to hydride generation. To determine the As(III) concentration, the samples were not pretreated with a reducing agent, but rather mixed with a sodium citrate buffer (0.4 M, pH 4.5).
Sediment and soil samples were freeze-dried, slightly crushed, and passed through a 2-mm sieve. The sediment and soil samples were digested with HNO3-HF-HClO4 [35]. The concentration of K, Na, Ca, Mg, Fe, Mn, Al, and S in the extracts were measured with inductively coupled plasma atomic emission spectrometry (ICP-AES, IRIS Intrepid II, Thermo Electon, Waltham, MA, USA). The Sc concentration in the extracts were determined by ICP-MS. The As concentration in the extracts were measured by HG-AFS.
The statistical analysis of the significant difference was performed by the Tukey-Kramer honest significant difference test at α = 0.05 level, using SAS JMP Statistical (JMP 12.0).

2.4. Quality Assurance and Control

Accuracy and precision were strictly controlled by using regent blanks, duplicate samples, and reference materials GSS21 (National Institute of Metrology, Beijing, China). All samples were measured in triplicate and had relative errors less than 5% (Table 1).

3. Results and Discussion

3.1. Properties of the Water, Sediment, and Soil

The general physicochemical properties for the water, sediment and soil are shown in Table 2. The water, sediment and soil are generally characterized by an alkaline pH. The concentrations of dissolved K, Na, Mg, Cl and S in the lake water were much higher than those in the river water, which can be mainly ascribed to the evaporative concentration in Lake Qinghai [5]. Similarly, the high major element concentration was also observed in alpine lakes in Tibet, China (average elevation of higher than 4000 m) [36]. However, the dissolved Ca concentration was much higher in the river water than in the lake water. This indicated that Ca precipitates and accumulates in the bottom sediments of Lake Qinghai [4,5]. In addition, the major element concentration was generally higher in the pore water than that in the lake water. This can be linked to the secondary release from sediment solid phase in the reductive condition [37].
The average organic matter content was 10.25% for the sediment and 7.48% for the soil. The concentrations of Al, Fe, Mg, Na, and K in the sediments were similar to those in the upper crust [38], but the Ca concentration were higher in the sediment (average 18.27%) than that in the upper crust (average 3.85%). This result further demonstrated the Ca precipitation in the lake. In the soil around the Lake Qinghai, the major element concentrations were similar to those reported by previous studies [4,37,39,40].

3.2. Concentration of As in the Water, Sediment, and Soil

Dissolved As concentration in the water of Lake Qinghai ranged from 8.86 to 41.76 μg L−1 (Table 2). The average As concentration (25.55 μg L−1) in water of Lake Qinghai is similar to that in other alpine lakes (27.5 μg L−1) in Qinghai-Tibet Plateau, China [36], but higher than that in Lake Taihu (2.5 μg L−1) [41] and Lake Dongping (7.3 μg L−1) [42]. For surface water in the agricultural evaporation ponds, evaporative concentration led to a major increase in As concentration from 108 to 2099 μg L−1, accompanied with high Cl and electric conductivity [29]. With the evaporative concentration, similarly, the high As concentration is also observed in surface water from Rio Loa basin (average: 1400 μg L−1) [43] and the upper Paraguay basin (average: 1108.5 μg L−1) [30] and in shallow ground water beneath the southern Carson Desert (average: 160 μg L−1) [44]. Therefore, the evaporative concentration for the water of Lake Qinghai might be one of the reasons for its higher As concentration relative to its catchment rivers.
In the water of Buha River, dissolved As concentration ranged from 1.17 to 1.74 μg L−1 (Table 2). The average As concentration (1.39 μg L−1) in the water of Buha River is one order of magnitude lower than that for rivers in Qinghai-Tibet Plateau (22.1 μg L−1, n = 104) [36].
In the sediment pore water of Lake Qinghai, dissolved As concentration ranged from 58.5 to 197.5 μg L−1, with an average of 107.8 μg L−1 (Table 2). Statistical tests indicated that dissolved As concentration in the pore water was significantly (p < 0.05) higher than that in the water of Lake Qinghai and Buha River (Figure 2). Similarly, As concentration in pore water is 10~60 times higher than that in bottom water in Lake Washington [45]. The high As concentration in pore water may be caused by the released of As from the sediment under reductive conditions [44,46,47,48]. The sediment of Lake Qinghai is usually characterized by reductive condition with negative Eh values [37]. Therefore, this reductive condition may lead to the release of As from sediment solid phases into the pore water of Lake Qinghai.
The average concentration of As(III) and As(V) were 0.35 μg L−1 and 1.04 μg L−1 for the river water, respectively, and 6.99 μg L−1 and 18.56 μg L−1 for the lake water (Table 2). This result indicated that As(V) was the predominant As form both in the lake and river water. In general, As(V) is the most prevalent dissolved form of As in an aerobic freshwater and saltwater environment [26]. The average concentration ratio of As(III) to As(V) was 0.34 for the river water and 0.42 for the lake water. In addition, As(III) concentration was more correlated to the total As concentration in the river water, while in the lake water As(V) concentration was more correlated with the total As concentration (Figure 3). Therefore, after the inflow of Buha river into Lake Qinghai, transformation of As speciation between As(III) and As(V) may be occurring in the water. Redox potential (Eh) and pH are the two most important factors controlling As speciation [26]. In addition, arsenic speciation is also influenced by salinity [49], microbial activity [50], and the characters of local phytoplankton and zooplankton communities [51].
In the sediment of Lake Qinghai, arsenic concentration ranged from 12.4 to 21.93 mg kg−1 (Table 2). The average concentration of As (16.75 mg kg−1) in the sediment of Lake Qinghai is similar to that in the Yangtze’s source area (18.06 mg kg−1) [52], the Yungui Plateau Lake Ecoregion (14.16 mg kg−1) [53] and the 275 alpine/arctic lakes across Europe (12 mg kg−1) [2]. As shown in Figure 4, the average As concentration in the sediment of Lake Qinghai was significantly higher than that in the soils (13.14 mg kg−1) around the lake (p < 0.05).

3.3. Relationships between As and Other Elements in the Water, Sediment, and Soil

The results of correlation analysis between As and other elements in the water, sediment, and soil are shown in Table 3. The significantly positive correlation between As and B concentrations was observed in the river water (p < 0.01), lake water (p < 0.01), and pore water (p < 0.05). Our previous study reported that the geochemical process of B in Lake Qinghai was characterized by evaporative concentration and reductive release [10], which was similar to that of As in the present study. Arsenic concentration was significantly (p < 0.01) positively correlated with concentrations of V, Sc, P, S, Cl, Mn, Fe, Mg, and Ca in the lake water rather than in the river water and pore water. This might be caused by evaporative concentration. Sodium and Cl are the conservative elements and can be used to indicate the level of evaporative concentration [29,30]. The high concentration of Na+ and Cl in the lake water (Table 2) and their significantly positive correlation with As concentration (Table 3), therefore, further demonstrated that the higher As concentration in the lake water was related with the evaporative concentration process.
In the sediments of Lake Qinghai, As concentration was significantly negatively correlated with S and Ca concentrations (p < 0.01). This might be due to a solid dilution effect caused by carbonate and sulfate precipitation. Abundant calcium carbonate precipitates as well as sulfate occurred in Lake Qinghai [4,5]. Arsenic is often rich in argillaceous sediments, while it is often poor in sandstone and calcareous sediments [12]. In addition, arsenic electrostatic attraction with positively charged mineral surface such as Fe/Mn oxides is a major force responsible for As sorption, other anions (e.g., PO43− and SO42−) with similar or higher charge densities may compete for the same sorption sites on the mineral surface and caused reduced As adsorption and even desorption [47].
In the soil around Lake Qinghai, As concentration was significantly (p < 0.01) positive correlated with V, Sc, Mn, Al, Fe and K concentrations (Table 3). The Fe, Mn and Al (hydr)oxides generally play an important role in controlling the concentration of As in soils [47]. Scandium is a conservative metal with no significant anthropogenic source [54]. The significantly positive correlation between As and Sc concentrations indicated that the effect of anthropogenic activity on concentration of As in the soil around Lake Qinghai might be insignificant.

3.4. Ratio of As to Major or Reference Elements

As shown in Figure 5, the average As/Cl, As/SO42− and As/Na molar ratios were 86.29 × 10−6, 78.94 × 10−6, and 49.75 × 10−6 in the water of Buha River, respectively, which were significantly (p < 0.05) higher than those in the water and sediment pore water of Lake Qinghai. This indicated that partially As was transferred from dissolved phase to sloid phase in the evaporative concentration process of lake water. However, the average As/Ca molar ratios in the river water were significantly lower than that in the water and sediment pore water of Lake Qinghai (p < 0.05). This indicated that more Ca than As precipitated in the evaporative concentration process of lake water. In addition, As/Ca molar ratios in the sediment pore water were significantly higher than those in the lake water (p < 0.05). This indicated that more As than Ca was secondarily released from sediment solid phases in the reductive condition.
In the sediment of Lake Qinghai, the average As/Sc ratio was 2.06 (Figure 4), which was significantly (p < 0.05) higher than that in the soil around the Lake Qinghai. The metal/Sc ratios have been often used to identify natural and anthropogenic sources of metals in sediments and soils [54]. The relatively high As/Sc ratio may indicate that relatively more As was enriched in the lake sediments.

4. Conclusions

The average concentration of dissolved As was 25.55 μg L−1 in the water of Lake Qinghai, which was higher than that in world fresh water and open sea. This is related to the evaporative concentration process of lake water. The average concentration of dissolved As was 107.8 μg L−1 in the sediment pore water, which was much higher than that in the lake and river water. This can be ascribed to the secondarily release from the sediment’s solid phase in the reductive condition. The average concentration of As in the lake sediment was 16.75 mg kg−1, which was significantly higher than that (13.14 mg kg−1) in the soil around the lake (p < 0.05). The enrichment of As in the lake sediment was significantly higher than that in the soil around the lake. The concentration of As in multiple media could be used as a baseline to assess the influence of anthropogenic activities on As distribution in the Lake Qinghai basin.

Author Contributions

Writing—Original Draft Preparation, Y.C.; Writing—Review and Editing, C.L.; Investigation, X.Z.; Funding acquisition, C.L. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the National Natural Science Foundation of China (41671462, U1706217).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data is contained within the article.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Camarero, L.; Rogora, M.; Mosello, R.; Anderson, N.J.; Barbieri, A.; Botev, I.; Kernan, M.; Kopáček, J.; Korhola, A.; Lotter, A.F.; et al. Regionalisation of chemical variability in European mountain lakes. Freshw. Biol. 2009, 54, 2452–2469. [Google Scholar] [CrossRef]
  2. Camarero, L.; Botev, I.; Muri, G.; Psenner, R.; Rose, N.; Stuchlik, E. Trace elements in alpine and arctic lake sediments as a record of diffuse atmospheric contamination across Europe. Freshw. Biol. 2009, 54, 2518–2532. [Google Scholar] [CrossRef]
  3. Battarbee, R.W.; Thompson, R.; Catalan, J.; Grytnes, J.; Birks, H. Climate variability and ecosystem dynamics of remote alpine and arctic lakes: The MOLAR project. J. Paleolimnol. 2002, 28, 1–6. [Google Scholar] [CrossRef]
  4. Jin, Z.; You, C.-F.; Yu, J. Toward a geochemical mass balance of major elements in Lake Qinghai, NE Tibetan Plateau: A significant role of atmospheric deposition. Appl. Geochem. 2009, 24, 1901–1907. [Google Scholar] [CrossRef]
  5. Xu, H.; Hou, Z.; An, Z.; Liu, X.; Dong, J. Major ion chemistry of waters in Lake Qinghai catchments, NE Qinghai-Tibet plateau, China. Quat. Int. 2010, 212, 35–43. [Google Scholar] [CrossRef]
  6. Li, X.; Liu, W.; Xu, L. Carbon isotopes in surface-sediment carbonates of modern Lake Qinghai (Qinghai–Tibet Plateau): Implications for lake evolution in arid areas. Chem. Geol. 2012, 300, 88–96. [Google Scholar] [CrossRef]
  7. Han, Y.M.; Wei, C.; Bandowe, B.A.M.; Wilcke, W.; Cao, J.J.; Xu, B.Q.; Gao, S.P.; Tie, X.X.; Li, G.H.; Jin, Z.D.; et al. Elemental Carbon and Polycyclic Aromatic Compounds in a 150-Year Sediment Core from Lake Qinghai, Tibetan Plateau, China: Influence of Regional and Local Sources and Transport Pathways. Environ. Sci. Technol. 2015, 49, 4176–4183. [Google Scholar] [CrossRef] [PubMed]
  8. Sha, Z.; Wang, Q.; Wang, J.; Du, J.; Hu, J.; Ma, Y.; Kong, F.; Wang, Z. Regional environmental change and human activity over the past hundred years recorded in the sedimentary record of Lake Qinghai, China. Environ. Sci. Pollut. Res. 2017, 24, 9662–9674. [Google Scholar] [CrossRef]
  9. Lin, C.; Xue, Y.; Zhang, X.; Renqin, D.; Zhou, X.; Cao, Y.; Guo, B.; Liu, X. Distribution of cadmium among multimedia in Lake Qinghai, China. Environ. Earth Sci. 2018, 77, 153. [Google Scholar] [CrossRef]
  10. Zhang, X.; Lin, C.; Guo, B.; Cao, Y.; Lei, K.; Zhou, X.; Renqin, D. Distribution and geochemical processes of boron in the multimedia of Lake Qinghai, China. J. Great Lakes Res. 2018, 44, 1035–1042. [Google Scholar] [CrossRef]
  11. Xiong, X.; Zhang, K.; Chen, X.; Shi, H.; Luo, Z.; Wu, C. Sources and distribution of microplastics in China’s largest inland lake–Qinghai Lake. Environ. Pollut. 2018, 235, 899–906. [Google Scholar] [CrossRef] [PubMed]
  12. Kabata-Pendias, A.; Mukherjee, A.B. Trace Elements from Soil to Human; Springer: Berlin, Germany, 2007; pp. 1–550. [Google Scholar]
  13. Alexakis, D. Multielement Contamination of Land in the Margin of Highways. Land 2021, 10, 230. [Google Scholar] [CrossRef]
  14. Gamvroula, D.; Alexakis, D.; Stamatis, G. Diagnosis of groundwater quality and assessment of contamination sources in the Megara basin (Attica, Greece). Arab. J. Geosci. 2012, 6, 2367–2381. [Google Scholar] [CrossRef]
  15. Alexakis, D. Human health risk assessment associated with Co, Cr, Mn, Ni and V contents in agricultural soils from a Mediterranean site. Arch. Argon. Soil Sci. 2015, 62, 359–373. [Google Scholar] [CrossRef]
  16. Caeiro, S.; Costa, M.; Ramos, T.; Fernandes, F.; Silveira, N.; Coimbra, A.; Medeiros, G.; Painho, M. Assessing heavy metal contamination in Sado Estuary sediment: An index analysis approach. Ecol. Indic. 2005, 5, 151–169. [Google Scholar] [CrossRef]
  17. Chang, J.-S.; Yoon, I.-H.; Kim, K.-W. Heavy metal and arsenic accumulating fern species as potential ecological indicators in As-contaminated abandoned mines. Ecol. Indic. 2009, 9, 1275–1279. [Google Scholar] [CrossRef]
  18. Kempter, H.; Krachler, M.; Shotyk, W.; Zaccone, C. Major and trace elements in Sphagnum moss from four southern German bogs, and comparison with available moss monitoring data. Ecol. Indic. 2017, 78, 19–25. [Google Scholar] [CrossRef]
  19. Schreck, E.; Sarret, G.; Oliva, P.; Calas, A.; Sobanska, S.; Guédron, S.; Barraza, F.; Point, D.; Huayta, C.; Couture, R.-M.; et al. Is Tillandsia capillaris an efficient bioindicator of atmospheric metal and metalloid deposition? Insights from five months of monitoring in an urban mining area. Ecol. Indic. 2016, 67, 227–237. [Google Scholar] [CrossRef]
  20. Tian, H.; Zhao, Y.; Megharaj, M.; He, W. Arsenate inhibition on kinetic characteristics of alkaline phosphatase as influenced by pH. Ecol. Indic. 2018, 85, 1101–1106. [Google Scholar] [CrossRef]
  21. Skoczko, I.; Szatylowicz, E. Removal of heavy metal ions by filtration on activated alumina-assisted magnetic field. Desalination Water Treat. 2018, 117, 345–352. [Google Scholar] [CrossRef] [Green Version]
  22. Szatyłowicz, E.; Skoczko, I. Studies on the Efficiency of Grundwater Treatment Process with Adsorption on Activated Alumina. J. Ecol. Eng. 2017, 18, 211–218. [Google Scholar] [CrossRef] [Green Version]
  23. Alexakis, D.; Gamvroula, D. Arsenic, Chromium, and Other Potentially Toxic Elements in the Rocks and Sediments of Oropos-Kalamos Basin, Attica, Greece. Appl. Environ. Soil Sci. 2014, 2014, 718534. [Google Scholar] [CrossRef] [Green Version]
  24. Alexakis, D.E. Contaminated Land by Wildfire Effect on Ultramafic Soil and Associated Human Health and Ecological Risk. Land 2020, 9, 409. [Google Scholar] [CrossRef]
  25. Alexakis, D.E. Suburban areas in flames: Dispersion of potentially toxic elements from burned vegetation and buildings. Estimation of the associated ecological and human health risk. Environ. Res. 2020, 183, 109153. [Google Scholar] [CrossRef] [PubMed]
  26. Smedley, P.L.; Kinniburgh, D.G. A review of the source, behavior and distribution of arsenic in natural waters. Appl. Geochem. 2002, 17, 517–568. [Google Scholar] [CrossRef] [Green Version]
  27. Ryu, J.-H.; Gao, S.; Dahlgren, R.A.; Zierenberg, R.A. Arsenic distribution, speciation and solubility in shallow groundwater of Owens Dry Lake, California. Geochim. Cosmochim. Acta 2002, 66, 2981–2994. [Google Scholar] [CrossRef]
  28. Ramos, O.E.R.; Cáceres, L.F.; Muñoz, M.R.O.; Bhattacharya, P.; Quino, I.; Quintanilla, J.; Sracek, O.; Thunvik, R.; Bundschuh, J.; García, M.E. Sources and behavior of arsenic and trace elements in groundwater and surface water in the Poopó Lake Basin, Bolivian Altiplano. Environ. Earth Sci. 2011, 66, 793–807. [Google Scholar] [CrossRef]
  29. Ryu, J.-H.; Gao, S.; Tanji, K.K. Speciation and behavior of arsenic in evaporation basins, California, USA. Environ. Earth Sci. 2010, 61, 1599–1612. [Google Scholar] [CrossRef]
  30. Barbiero, L.; Furquím, S.A.C.; Valles, V.; Furian, S.; Sakamoto, A.; Rezende, F. Natural arsenic in groundwater and alkaline lakes at the upper Paraguay basin, Pantanal, Brazil. Elsevier Book Series Trace Metals and Other Contaminants in the Environment. Geoderma 2007, 9, 101–126. [Google Scholar]
  31. Gao, S.; Ryu, J.; Tanji, K.; Herbel, M. Arsenic speciation and accumulation in evapoconcentrating waters of agricultural evaporation basins. Chemosphere 2007, 67, 862–871. [Google Scholar] [CrossRef] [PubMed]
  32. Colman, S.M.; Yu, S.Y.; An, Z.; Shen, J.; Henderson, A.C.G. Late Cenozoic climate changes in China’s western interior: A review of research on Lake Qinghai and comparison with other records. Quat. Sci. Rev. 2007, 26, 2281–2300. [Google Scholar] [CrossRef] [Green Version]
  33. Wang, S.; Cao, X.; Lin, C.; Chen, X. Arsenic content and fractionation in the surface sediments of the Guangzhou section of the Pearl River in Southern China. J. Hazard. Mater. 2010, 183, 264–270. [Google Scholar] [CrossRef] [PubMed]
  34. Wang, S.L.; Lin, C.Y.; Cao, X.Z.; Zhong, X. Arsenic content, fractionation, and ecological risk in the surface sediments of lake. Int. J. Environ. Sci. Technol. 2011, 9, 31–40. [Google Scholar] [CrossRef] [Green Version]
  35. Lin, C.; He, M.; Zhou, Y.; Guo, W.; Yang, Z. Distribution and contamination assessment of heavy metals in sediment of the Second Songhua River, China. Environ. Monit. Assess. 2007, 137, 329–342. [Google Scholar] [CrossRef]
  36. Tian, Y.; Yu, C.; Zha, X.; Wu, J.; Gao, X.; Feng, C.; Luo, K. Distribution and Potential Health Risks of Arsenic, Selenium, and Fluorine in Natural Waters in Tibet, China. Water 2016, 8, 568. [Google Scholar] [CrossRef] [Green Version]
  37. Lanzhou Institute of Geology, CAS. Report on Integrated Survey of Qinghai Lake; Science Press: Beijing, China, 1979; pp. 1–264. (In Chinese) [Google Scholar]
  38. Wedepohl, K.H. The Composition of Continental Crust. Geochim. Cosmochim. Acta 1995, 7, 1217–1232. [Google Scholar] [CrossRef]
  39. Wan, D.; Jin, Z.; Wang, Y. Geochemistry of eolian dust and its elemental contribution to Lake Qinghai sediment. Appl. Geochem. 2012, 27, 1546–1555. [Google Scholar] [CrossRef]
  40. Wang, P.; Cao, J.; Han, Y.; Jin, Z.; Wu, F.; Zhang, F. Elemental distribution in the topsoil of the Lake Qinghai catchment, NE Tibetan Plateau, and the implications for weathering in semi-arid areas. J. Geochem. Explor. 2015, 152, 1–9. [Google Scholar] [CrossRef]
  41. Che, F.-F.; Wang, D.-P.; Zhen, Z.; Yan, C.-Z.; Wang, Z.-S. Distributions of Arsenic Species in Different Eutrophic Waters of Lake Taihu and Their Relations to Environmental Factors. Environ. Sci. 2016, 37, 3340–3347, (In Chinese with English Abstract). [Google Scholar]
  42. Lu, C.J.; Guo, N.; Zhang, J.; Dong, J.; He, Z.F.; Yin, S.H. Speciation distribution characteristics and health risk assessment of arsenic and mercury concentrations in water of Dongping Lake. J. Environ. Health. 2017, 34, 423–426, (In Chinese with English Abstract). [Google Scholar]
  43. Romero, L.; Alonso, H.; Campano, P.; Fanfani, L.; Cidu, R.; Dadea, C.; Keegan, T.; Thornton, I.; Farago, M. Arsenic enrichment in waters and sediments of the Rio Loa (Second Region, Chile). Appl. Geochem. 2003, 18, 1399–1416. [Google Scholar] [CrossRef]
  44. Welch, A.H.; Lico, M.S. Factors controlling As and U in shallow ground water, southern Carson Desert, Nevada. Appl. Geochem. 1998, 13, 521–539. [Google Scholar] [CrossRef]
  45. Peterson, M.; Carpenter, R. Arsenic distributions in porewaters and sediments of Puget Sound, Lake Washington, the Washington coast and Saanich Inlet, BC. Geochim. Cosmochim. Acta 1986, 50, 353–369. [Google Scholar] [CrossRef]
  46. Azcue, J.M.; Nriagu, J.O. Impact of abandoned mine tailings on the arsenic concentrations in Moira Lake, Ontario. J. Geochem. Explor. 1995, 52, 81–89. [Google Scholar] [CrossRef]
  47. Cheng, H.; Hu, Y.; Luo, J.; Xu, B.; Zhao, J. Geochemical processes controlling fate and transport of arsenic in acid mine drainage (AMD) and natural systems. J. Hazard. Mater. 2009, 165, 13–26. [Google Scholar] [CrossRef]
  48. Liu, Y.; Mu, S.; Bao, A.; Zhang, D.; Pan, X. Effects of salinity and (an)ions on arsenic behavior in sediment of Bosten Lake, Northwest China. Environ. Earth Sci. 2014, 73, 4707–4716. [Google Scholar] [CrossRef]
  49. Kitts, H.; Millward, G.; Morris, A.; Ebdon, L. Arsenic Biogeochemistry in the Humber Estuary, UK. Estuar. Coast. Shelf Sci. 1994, 39, 157–172. [Google Scholar] [CrossRef]
  50. Guo, H.; Zhang, B.; Li, Y.; Berner, Z.; Tang, X.; Norra, S.; Stüben, D. Hydrogeological and biogeochemical constrains of arsenic mobilization in shallow aquifers from the Hetao basin, Inner Mongolia. Environ. Pollut. 2011, 159, 876–883. [Google Scholar] [CrossRef] [PubMed]
  51. Hong, S.; Kwon, H.-O.; Choi, S.-D.; Lee, J.-S.; Khim, J.S. Arsenic speciation in water, suspended particles, and coastal organisms from the Taehwa River Estuary of South Korea. Mar. Pollut. Bull. 2016, 108, 155–162. [Google Scholar] [CrossRef]
  52. Zhang, L.C.; Zhou, K.Z. Background values of trace elements in the source area of the Yangtze River. Sci. Total Environ. 1992, 125, 391–404. [Google Scholar]
  53. Zan, F.; Huo, S.; Zhang, J.; Zhang, L.; Xi, B.; Zhang, L. Arsenic fractionation and contamination assessment in sediments of thirteen lakes from the East Plain and Yungui Plateau Ecoregions, China. J. Environ. Sci. 2014, 26, 1977–1984. [Google Scholar] [CrossRef] [PubMed]
  54. Shotyk, W.; Weiss, D.; Appleby, P.G.; Cheburkin, A.K.; Frei, R.; Gloor, M.; Kramers, J.D.; Reese, S.; Van Der Knaap, W.O. History of Atmospheric Lead Deposition Since 12,370 14C yr BP from a Peat Bog, Jura Mountains, Switzerland. Science 1998, 281, 1635–1640. [Google Scholar] [CrossRef] [PubMed] [Green Version]
Figure 1. Locations of sampling sites in/around Lake Qinghai.
Figure 1. Locations of sampling sites in/around Lake Qinghai.
Water 13 01091 g001
Figure 2. Comparisons of As levels in the lake water, river water and pore water.
Figure 2. Comparisons of As levels in the lake water, river water and pore water.
Water 13 01091 g002
Figure 3. Relationships between As(III/V) and As concentrations in the water of Buha river (a) and Lake Qinghai (b).
Figure 3. Relationships between As(III/V) and As concentrations in the water of Buha river (a) and Lake Qinghai (b).
Water 13 01091 g003
Figure 4. Comparisons of As levels and As/Sc ratio in the lake sediment and soil around the lake.
Figure 4. Comparisons of As levels and As/Sc ratio in the lake sediment and soil around the lake.
Water 13 01091 g004
Figure 5. Raito of As to major or reference elements ((a): Cl, (b): SO42, (c): Na, (d): Ca) in the river water, lake water and pore water.
Figure 5. Raito of As to major or reference elements ((a): Cl, (b): SO42, (c): Na, (d): Ca) in the river water, lake water and pore water.
Water 13 01091 g005
Table 1. The detection limits, precision, and accuracy of various elements in the samples.
Table 1. The detection limits, precision, and accuracy of various elements in the samples.
KNaCaMgSClAlMnFeScAs
Detection limits a0.050.840.20.150.180.612.990.290.090.170.01
CV for the water (%) b2.981.021.31.511.154.97 2.2
CV for soil/sediment (%) c2.363.061.72.113.48 1.641.781.61.962.2
Relative errors (%) d5.11.84.43.50.2 0.57.72.33.42.2
a:The detection limits for elements in water samples were calculated as 3* standard deviation of blank determination (n = 5). Potassium, Na, Ca, Mg and Cl were in mg L−1, and Al, Mn, Fe, Sc and As were in μg L−1. b:The average variance coefficients for the water were calculated by the replicate analyses of 14 water samples. c:The average variance coefficients (CV) for the sediment/soil were calculated by the replicate analyses of 10 sediment and soil samples. d: The average accuracy for soil and sediment analysis was assessed by the analyses of the elements in the certified reference materials GSS21 (n = 10).
Table 2. Statistical values of physicochemical parameters for the water, sediment, and soil.
Table 2. Statistical values of physicochemical parameters for the water, sediment, and soil.
UnitMeanMedianSDCV%MaxMinn
RiverpH 8.048.080.273.38.387.4512
waterAlkalinitymmol L−12.722.860.4817.83.551.8612
Kmg L−12.001.811.0050.03.930.6912
Namg L−114.2813.988.9562.728.972.6012
Camg L−165.1562.5123.9236.7106.2432.6312
Mgmg L−113.5613.394.7835.319.556.7412
Clmg L−112.4212.537.2958.725.492.0312
SO42−mg L−124.6323.956.9528.235.7011.2712
Asμg L−11.391.360.1712.01.741.1712
As+5μg L−11.041.050.077.11.130.8412
As+3μg L−10.350.330.1645.20.690.1312
Lake waterpH 9.239.220.080.99.449.1269
Alkalinitymmol L−122.8722.503.0213.229.6915.2369
Kmg L−1162.29159.9560.9637.6297.9042.5769
Namg L−13310.803327.701330.2240.26182.55707.2069
Camg L−18.978.433.2936.718.441.5769
Mgmg L−1831.21790.07321.1438.61637.94109.3469
Clmg L−15772.265610.972358.2940.911,030.031236.8669
SO42−mg L−11661.171560.45638.6038.43196.95354.7169
Asμg L−125.5525.698.6733.941.768.8669
As+5μg L−118.5617.987.1838.731.435.7069
As+3μg L−16.996.992.4835.512.812.0669
Pore waterKmg L−1321.47347.4765.0620.2432.54206.1620
Namg L−15225.455800.23878.6816.86034.663429.2320
Camg L−134.3429.1319.1955.990.3811.9020
Mgmg L−11669.141778.50291.4217.52161.221137.8520
Clmg L−110,050.5811,067.971673.7716.711,522.446658.3920
SO42−mg L−13556.063698.14731.1520.65022.342251.9120
Asμg L−1107.8096.6335.3332.8197.5058.5020
SedimentpH 9.399.420.44.210.038.8622
OM%10.2510.162.3923.315.593.0322
Carbonate%33.7634.156.6719.849.8816.3722
Mnmg kg−1490.03509.4569.3814.2589.27253.4922
Al2O3%8.969.031.0411.611.295.6722
Fe2O3%3.253.370.5617.24.191.4322
MgO%4.563.612.5756.414.592.6622
CaO%18.2718.412.9015.922.8611.6522
Na2O%1.641.610.2414.42.521.3622
K2O%1.911.930.2513.12.421.2322
Asmg kg−116.7516.202.7616.521.9312.4022
SoilpH 8.838.760.556.310.397.9545
OM%7.487.973.3344.513.241.2145
Mnmg kg−1584.09596.6887.7715.0752.97394.1545
Al2O3%10.9010.891.2511.513.517.7745
Fe2O3%4.204.280.6014.35.322.8645
MgO%2.212.120.5223.74.761.5045
CaO%8.268.322.7433.213.552.1545
Na2O%1.741.730.158.52.081.4245
K2O%2.152.130.209.42.541.6145
Asmg kg−113.1413.652.4118.317.197.2545
Table 3. Correlation coefficients of As with other elements in the water, sediment, and soil.
Table 3. Correlation coefficients of As with other elements in the water, sediment, and soil.
As
River Water, n = 12Lake Water, n = 69Pore Water, n = 20Sediment, n = 22Soil, n = 45
R2pR2pR2pR2pR2p
V0.150.630.96<0.00010.230.37−0.020.940.87<0.0001
Sc−0.230.470.61<0.0001−0.300.220.040.860.89<0.0001
B0.770.000.93<0.00010.580.010.270.220.310.04
P0.390.210.84<0.0001−0.140.57−0.320.140.490.00
S−0.050.880.81<0.00010.160.52−0.660.000.290.05
Cl0.520.080.87<0.00010.410.09
Mn0.500.100.53<0.0001−0.040.880.090.680.81<0.0001
Al−0.450.14−0.130.290.240.360.260.240.87<0.0001
Fe0.460.130.59<0.00010.100.690.030.880.87<0.0001
Mg0.440.150.74<0.00010.460.060.260.250.460.00
Ca0.160.620.68<0.0001−0.370.17−0.580.000.070.65
Na0.590.050.88<0.00010.350.150.210.36−0.450.00
K0.600.040.85<0.00010.450.060.070.750.80<0.0001
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Cao, Y.; Lin, C.; Zhang, X. Distribution and Geochemical Processes of Arsenic in Lake Qinghai Basin, China. Water 2021, 13, 1091. https://doi.org/10.3390/w13081091

AMA Style

Cao Y, Lin C, Zhang X. Distribution and Geochemical Processes of Arsenic in Lake Qinghai Basin, China. Water. 2021; 13(8):1091. https://doi.org/10.3390/w13081091

Chicago/Turabian Style

Cao, Yuanxin, Chunye Lin, and Xuan Zhang. 2021. "Distribution and Geochemical Processes of Arsenic in Lake Qinghai Basin, China" Water 13, no. 8: 1091. https://doi.org/10.3390/w13081091

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop