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Article

Assessment of the Evolution of Groundwater Chemistry and Its Controlling Factors in the Huangshui River Basin of Northwestern China, Using Hydrochemistry and Multivariate Statistical Techniques

1
Hebei and China Geological Survey Key Laboratory of Groundwater Remediation, Institute of Hydrogeology and Environmental Geology, Chinese Academy of Geological Sciences, Shijiazhuang 050061, China
2
China University of Geosciences, Beijing 100083, China
3
Key Laboratory of Cenozoic Geology and Environment, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2021, 18(14), 7551; https://doi.org/10.3390/ijerph18147551
Submission received: 27 May 2021 / Revised: 13 July 2021 / Accepted: 14 July 2021 / Published: 15 July 2021
(This article belongs to the Section Water Science and Technology)

Abstract

:
Groundwater is an eco-environmental factor and critical resource required for human life and socioeconomic development. Understanding the evolution of groundwater chemistry and its controlling factors are imperative for preventing its deterioration and ensuring its sustainable use. We studied the characteristics of groundwater chemistry in the Huangshui River Basin in Qinghai Province, China using hydrochemical techniques. Additionally, we identified the controlling factors of groundwater chemistry in this region using multivariate statistical techniques. Seventeen hydrochemical parameters of groundwater were investigated at 156 sites in June 2019. The results showed that total hardness, Fe, NO3, SO42−, and Cl were primary pollution factors of groundwater in this region, and that 33.3%, 35.3%, 8.97%, 23.1%, and 7.69% of the samples exceeded Grade III standards for groundwater quality in China, respectively. Land use types also significantly affected groundwater hydrochemistry. The hydrochemical composition of groundwater in industrial areas is more strongly influenced by human activities. The major hydrochemical types identified in the region were HCO3-Ca·Mg and HCO3·SO4-Ca·Mg. Additionally, high proportions of SO4 (50.6%), Na (32.1%), and Cl (13.5%) groundwater types revealed the influence of anthropogenic activities on the groundwater hydrochemistry. Rock weathering was the major factor influencing the groundwater hydrochemistry, while evaporation–condensation and anthropogenic activities also influenced the hydrochemical characteristics of groundwater. The hydrochemical composition of groundwater was mainly controlled by silicate rock weathering. The main controlling factors of groundwater hydrochemistry were water–rock interactions, “physicochemical” factors (nature processes), domestic sewage, chemical fertilizer, and industrial sewage (human activities).

1. Introduction

Groundwater is an eco-environmental factor and a critical resource required for human life and socioeconomic development [1]. In general, groundwater is an important source of drinking water for human beings [2], especially in arid regions. Understanding the characteristics and controlling factors of groundwater hydrochemistry is important for preventing the deterioration of water quality and ensuring sustainable groundwater use [3].
The characteristics of groundwater chemistry are closely linked to natural factors, such as hydrogeological conditions, lithology of the vadose zone, water–rock interactions, and seawater intrusion [4]. In general, water–rock interactions lead to the dissolution of various minerals, inducing changes in the groundwater chemistry [5]. In coastal areas, seawater intrusion is usually the driving factor behind changes of groundwater chemistry [6]. Anthropogenic activity is also a major factor controlling the hydrochemical characteristics of groundwater. Previous studies have found that domestic sewage, industrial wastewater, and chemical fertilizers are important factors controlling the hydrochemical characteristics of groundwater in areas where human activity is intense, such as alluvial-pluvial fan zones and urban areas [4,7].
How to accurately identify the controlling factors of groundwater chemistry is a key topic in the hydrogeochemistry field. Traditional research methods, such as hydrochemical analyses, descriptive statistics, and identifying the proportional coefficient of hydrochemical ions, are inadequate for meeting the needs of managers. Multivariate statistical techniques have been widely used in the water environment [8,9,10,11], and have contributed to accurately identify the characteristics and control factors of groundwater chemistry.
The Huangshui River Basin is situated in the eastern part of Qinghai Province, China. The groundwater in this region is the most primary source of drinking water. Thus, ensuring groundwater quality is critical for ensuring healthy drinking water for residents and socioeconomic development of this region. In recent years, anthropogenic activities, notably rapid urbanization, industrialization, and agricultural development, have significantly affected groundwater in the Huangshui River Basin [12]. A previous study showed that the concentrations of ammonia nitrogen and total nitrogen in the Huangshui River exceeded Grade III standards for surface water quality in China because of substandard discharging of industrial and domestic sewage [13]. However, to date, there is no research on the chemical characteristics and controlling factors of groundwater in the Huangshui River Basin. Therefore, it is still difficult to implement plans to promote the sustainable use of groundwater and control the further deterioration of groundwater quality. This study aims to address this gap by providing essential inputs for groundwater management strategies and effective environmental monitoring.
In this study, we mainly determined the characteristics of groundwater chemistry in an arid region and identified the primary factors influencing groundwater chemistry using multivariate statistical techniques. These results may advance understanding of the hydrochemical evolution of groundwater in an arid region and provide essential guidance for the sustainable use of groundwater.

2. Materials and Methods

2.1. Study Area

The Huangshui River originates from Baotu Mountain in Haiyan County and flows down through Xining, the capital of Qinghai Province, Dajiachuan, and Lanzhou in Gansu Province, and finally flows into the Yellow River. The Huangshui Riveris 349 km long with an area of approximately 3200 km2. The Huangshui River is the third largest tributary of the Yellow River, with an annual runoff of 4.63 billion m3. The rivers in the Huangshui River basin mainly include the Beichuan River, the Baoku River, the Heilin River, the Xichuan River, and the Datong River (Figure 1). The study region has an arid continental climate with plateau characteristics. The average annual temperature in this region is 5.9 °C, the average value of annual precipitation is 368 mm, with main precipitation occurring between May and September [14], and the annual average evaporation is 1677 mm.
There are five types of groundwater in this area: (1) loose stratum pore water; (2) water in clastic rock fissures; (3) water in karst carbonate; (4) water in bedrock fissures; and (5) frozen water layers. Loose stratum pore water is mainly distributed in the river valley and hilly areas. Loose stratum pore water can be divided into river valley phreatic water and Loess bottom gravel phreatic water. The surface layer of the valley is mainly composed of silty sand or sub-sandy soil. Beneath the surface layer of the valley is alluvial and pluvial sandy cobble of the Holocene series, with a thickness of 5–15 m, and below it is the argillaceous sand and pebbles of the upper Pleistocene glacial moraine, with a thickness of about 20–40 m (Figure 2). The Holocene alluvium and the upper Pleistocene glacial moraine have no water-resisting layer, and the hydraulic connection is good. The Loess subsoil gravel phreatic water mainly exists in the sand gravel and argillaceous sand gravel layers deposited by glacial water of Middle Pleistocene, which have a thickness of 3–6 m. Water in clastic rock fissures is mainly found in the aquifer formed by Mesozoic and Cenozoic clastic rock layers, and the lithology of aquifer comprises sandstone, glutenite, and marl. Aquifers are mostly confined, and groundwater is mostly brackish water or salt water. The buried depth of the aquifer floor is 74.6–200 m. Karst water located in carbonate crannies is distributed in the Laoye mountain area, and the lithology of aquifer is Cambrian dolomite, limestone, and crystalline limestone along with plagioclase basalt and siliceous rock. The bedrock fissures water is mainly distributed in the northern Bedrock mountains area, and the groundwater is mainly distributed in metamorphic rock fissures and the structural belt of the Proterozoic–Lower Proterozoic strata. The layer of frozen water is mainly distributed in a permafrost area in the northwest of the basin center (over 3800 m above sea level), and the thickness of the aquifer is less than 5 m.
The main modes of groundwater compensation are river infiltration and groundwater runoff recharge in the upper reaches of the river, followed by precipitation, return of agricultural irrigation water, and seepage from canals. Groundwater drainage occurs primarily via manual exploitation. There are frequent exchanges between groundwater and surface water. The upper reaches of the study area, after the Baoku River and the Heilin River, have passed through the outlet of the mountain, and the river water replenished groundwater. As the two rivers converge, the valley begins to narrow and the basement rises, which lead to groundwater flowing out as springs replenish the river. The river flows through the outlet of the Laoye mountain, the valley suddenly widens, the river flow rate decreases, and the surface water begins to recharge the groundwater (Figure 1).

2.2. Groundwater Sampling and Laboratory Analyses

Overall, 156 samples were collected in June 2019 (Figure 1). All wells selected for groundwater sampling are mainly used for drinking and agricultural irrigation purpose. The average distance to the groundwater table in these wells was 10.5 m (ranging between 3.0 m and 45.0 m). The wells were purged for 5 min before the samples were collected. The dissolved oxygen (DO) and pH values of the samples were measured in the site using an HQ40D multiparameter instrument (Hach, Loveland, CO, USA).
All samples were stored in two plastic sampling bottles of different sizes (500 mL and 1.5 L) and were used to analyze the water quality parameters. Samples that were not preprocessed were used for analyses of anions, whereas samples used for cation analyses were acidified to a pH below 2. The hydrochemical indicators were analyzed in the laboratory at the Groundwater Mineral Water and Environmental Monitoring Center of the Chinese Academy of Geological Sciences. Details of the analytical parameters, methods, and detection limits are presented in Table 1.

2.3. Data Analysis

Spearman correlation analysis was performed to determine significant relationships between groundwater indicators, while a principal component analysis (PCA) was conducted to distinguish the primary factors influencing groundwater chemistry. All statistical tests were performed on the R computing platform, version 4.0.1 (New Zealand) and with the SPSS software package, version 21.0 (SPSS Inc., Chicago, IL, USA).

3. Results and Discussion

3.1. Characteristics of Hydrochemical Parameters in Groundwater

The characteristics of groundwater hydrochemical parameters are summarized in Table 2. The CO32− concentrations in the groundwater samples were all below the detection limit. In this area, pH values of groundwater samples were from neutral to weakly alkaline (6.52–9.65), with an average value of 7.54. A total of 1.28% of the samples had pH values that exceeded the standard for drinking water in China [15]. The aquifer is in an overall oxidizing environment, and the mean concentrations of DO is 5.75 mg/L (ranging from 0.940 mg/L to 14.8 mg/L). The predominant cation array was expressed as Na+ > Ca2+ > Mg2+ > K+, while the anion array was expressed as HCO3 > SO42− > Cl > NO3 >NO2. It is striking that NO3, SO42−, and Cl concentrations in 8.97%, 23.1%, and 7.69% of the respective samples, respectively, exceeded the standards for drinking water in China [15]. These results showed that the groundwater has been influenced by anthropogenic activities, such as sewage and chemical fertilizers [16]. The mean concentration of TDS was 888 mg/L, and 22.4% of the samples exceeded the concentration specified for the standard of drinking water in China [15]. In addition, TH and Fe concentrations occurred in the ranges of 10.0 mg/L–2572 mg/L and 0.01 mg/L–130 mg/L, respectively, with mean concentrations of 453 mg/L and 2.41 mg/L, respectively. The exceeding standard rates of TH and Fe were 33.3% and 35.3%, respectively, indicating that they were significantly associated with groundwater pollution in the Huangshui River Basin. In general, high TH values in drinking water may induce a variety of diseases, such as vascular disease and acute myocardial infarction [17,18]. High concentration of Fe in surface or groundwater can lead to chronic poisoning and endanger to human health, such as HFE-associated hereditary hemochromatosis and β-thalassemia [19]. Therefore, local environmental managers should pay close attention to these parameters to ensure safe drinking water for local residents.

3.2. Effect of Land Use on the Groundwater Chemistry

Among the hydrochemical parameters, pH, Cl, SO42−, NO3, TDS, and Fe were selected to analyze the effect of land use on the groundwater chemistry. As shown in Figure 3, the values of six hydrochemical parameters were the lowest in the forest area due to the groundwater being less affected by human activity in this area. The concentration of Cl, NO3, Fe, and pH value were higher in the industrial area than in the other areas (Figure 3a,b,d,f). This is mainly because the groundwater in the industrial area was affected by various pollutants from industrial wastewater, domestic sewage, waste materials from wear of machinery, and vehicles, etc. During the investigation and sampling, we found that there are several metal factories in the industrial park area and that the industrial wastewater is directly discharged into the Beichuan River. In addition, the concentrations of SO42− and NO3 were high in the village area, which indicated that the groundwater may be affected by domestic sewage [2]. Indeed, in the village area, the domestic sewage was often discharged by digging deep wells. This, in turn, leads to an increase in the concentration of SO42− and NO3 in groundwater.

3.3. Hydrochemical Types

The piper diagram is often used to show hydrochemical types of groundwater [5,20]. In this region, the primary hydrochemical types of groundwater were HCO3-Ca·Mg (42%) and HCO3·SO4-Ca·Mg (22%) (Figure 4), reflecting freshwater recharge and carbonate mineral dissolution. In addition, SO4-type (51%), Na-type (40%), and Cl-type (14%) water accounted for high proportions, indicating that the groundwater chemistry have been influenced by human activity (e.g., domestic sewage, industrial wastewater, and chemical fertilizer, etc.) [4]. These results are consistent with previous studies. Researchers found that Cl and SO42− are important indicators that reflect the impact of human activities on groundwater chemistry [21]. Güler et al. [22] found that human activities have an important impact on groundwater chemistry.
Land use types reflect human activity directly and are closely related to groundwater chemical compositions [23]. As shown in Table 3 and Figure 5, the main hydrochemical type of groundwater in the forest region was HCO3-Ca·Mg, and the proportions of SO4 (35%), Na (18%), and Cl (0%) were lower than other land use types. By contrast, the main hydrochemical types of groundwater in urban and industrial areas were SO4, Na, and Cl types, reflecting the influence of intense human activities (such as domestic sewage and industrial wastewater) on the groundwater chemistry in these areas.
As shown in Table 4, the main hydrochemical types of loose stratum pore water and clastic rock fissures water were HCO3-Ca·Mg. However, the proportions of SO4, Na, and Cl types were higher in loose stratum pore water than in clastic rock fissures water. This may be due to the groundwater table being deeper in the clastic rock fissures water than in the loose stratum pore water. Thus, the effects of human activity on clastic rock fissures water were relatively less significant [10].

3.4. Controlling Factors of Groundwater Hydrochemical Evolution

Gibbs plots could explain the effect of atmospheric precipitation, rock weathering, and evaporation on the chemical compositions of groundwater [24]. From Figure 6, most samples were concentrated in fields where rock weathering was a dominant feature, indicating that rock weathering is a major factor influencing the groundwater hydrochemical evolution in the Huangshui River basin. A few samples tended to shift to the upper right side of the figure, indicating that evaporation–condensation also affects the hydrochemical composition of groundwater. However, these explanations do not mean that groundwater hydrochemical evolution is not affected by anthropogenic activities. The effects of anthropogenic activities on groundwater hydrochemistry are discussed below.

3.5. Water-Rock Interactions (Mineral Dissolution and Ions Sources)

The bivariate cross plotting can be useful to identify the sources of major ions [25]. Previous studies found that the equimolar ratio of Cl/Na+ was able to identify the dominance of halite dissolution for sodium in groundwater [26]. From Figure 7a, most Cl/Na+ values were lower than 1 (there were only 6 sites of the ratios were greater than 1), which indicated that Na+ could come from other sources such as silicate weathering or cation exchange. The equimolar ratio of (Ca2+ + Mg2+)/(HCO3 + SO42−) can identify the source of Ca2+, Mg2+, and SO42−. Previous studies have shown that: if the ratio is more than 1, it was mainly from the dissolution of carbonate; if the ratio is less than 1, it mainly originated from the dissolution of silicate; and, if the ratio is close to 1, it was from both the dissolution of carbonate and the dissolution of silicate [27]. As shown in Figure 7b, the ratio of most samples was close to the 1:1 line, demonstrating that Ca2+, Mg2+, and SO42− originate from the dissolution of carbonate and silicate. In addition, the ratio endmember plot of Ca2+ /Na+ VS Mg2+/Na+ could further distinguish the ions of groundwater from carbonate rock weathering, silicate rock weathering, or evaporite rock weathering (Figure 7c). As can be seen from Figure 7c, most samples were mainly concentrated between the control area of silicate and carbonate rocks, indicating that the ions of groundwater were controlled by silicate rocks and carbonate weathering and dissolution, and that the ions were mainly controlled by silicate rock weathering.

3.6. Correlations between the Hydrochemical Parameters

The correlations between the chemical components could reflect the source of each parameter [7,28]. As it can be seen from Figure 8, there were significant positive correlations between TH, TDS, Na+, Ca2+, Mg2+, Cl, HCO3, and SO42−. Thus, these chemical parameters of groundwater evidently originated from the same source, for example, rock weathering [29]. In addition, there was a strong positive correlation between COD, Fe, and Mn, indicating their common source, such as industrial wastewater. However, NO3 and NO2 were not significantly correlated with other indicators. Therefore, NO3 and NO2 may come from different sources with other hydrochemical parameters, such as chemical fertilizer or soil nitrogen.

3.7. Identifying the Primary Factors Influencing Groundwater Chemical Characteristics

The PCA can identify similar relationships in groundwater parameters; therefore, it is used to distinguish controlling factors that affect groundwater chemistry. In this study, 14 hydrochemical parameters were selected to perform a PCA to identify major controlling factors of groundwater chemistry in the Huangshui River Basin (Table 5). Considering that the eigenvalue is greater than 1, we identified three PCs (controlling factors of groundwater chemistry) using the PCA method, and determined that the cumulative variance was 75.7%.
Factor 1 explained 48.7% of the total variance and demonstrated strong positive loadings for TDS, TH, SO42−, Ca2+, Na+, HCO3, Cl, and Mg2+, and a moderate positive loading for NO3, revealing the impacts of anthropogenic activity and natural processes [6,10]. As noted in Section 3.3, rock weathering is a major factor influencing groundwater hydrochemistry in this region. Therefore, high concentrations of TDS, TH, Na+, HCO3, Mg2+, and Ca2+ are closely correlated with water–rock interactions. Previous studies found that Cl, SO42−, and NO3 could reflect the effects of anthropogenic activities on groundwater chemistry, such as domestic sewage and chemical fertilizers [15,21]. During the investigation of the study area, we found that rural residents were accustomed to digging wells to discharge domestic sewage, which could easily lead to increases of Cl, SO42−, and NO3 concentrations in groundwater [30]. Furthermore, nitrogen fertilizers (e.g., urea and ammonium chloride) and compound fertilizers are the principal agricultural inputs used in the region. Thus, the high levels of Cl, SO42−, and NO3 in groundwater were closely associated with domestic sewage and agricultural fertilizers. In sum, PC1 is considered to denote the water–rock interactions along with domestic sewage and chemical fertilizers.
Factor 2 explained 16.9% of the total variance and had strong positive loadings for Mn and Fe, and a moderate positive loading for COD. Previous studies found that the high concentration of Fe and Mn in groundwater could reflect that the aquifer is in a reductive environment [31] and that the groundwater has been affected by industrial effluents [10]. In the Huangshui River basin, the mean DO value of groundwater was 5.75 mg/L, which implies an oxidizing groundwater environment. Therefore, higher Fe and Mn concentrations in groundwater were likely to originate from industrial wastewater, especially from steel processing plants located in the city of Xining. Indeed, the highest mean concentrations of Fe (11.4 mg/L) and Mn (0.531 mg/L) in groundwater were recorded for samples obtained from the industrial area, which further supports our conclusion. In general, COD is an indicator of organic contaminants and mainly derives from point sources, such as discharge of wastewater treatment plants and industrial effluents [32]. Considering that COD, Fe, and Mn are classified as one kind of control factors, and that PC2 and PC1 are independent of each other, COD in groundwater therefore mainly comes from industrial sewage. Thus, the second factor (PC2) that controls groundwater in this area is industrial wastewater.
Factor 3 explained 16.9% of the total variance and had strong positive loading for pH and a slight positive loading for NO2. The pH index is comprehensive and reflects the acid–alkaline nature of groundwater. However, it cannot indicate a pollution source. Therefore, some scholars define pH as a “physicochemical” source [33,34] because it is influenced by a combination of physics and the chemical properties of water. Therefore, PC3 refers to “physicochemical” factor.

4. Suggestions for Environmental Management

Identification of the characteristics and controlling factors of groundwater chemistry is necessary to ensure the sustainable use of water resources and to control further deterioration of water quality. We found that the hydrochemical properties of groundwater in this area have been affected by anthropogenic activities, due to the concentrations of Cl, SO42−, NO3, TH, and Fe exceeding standard values. High concentrations of NO3 in drinking water could trigger a variety of diseases, such as “blue baby syndrome” [35]. Moreover, high SO42− concentrations in groundwater could lead to the corrosion of plumbing systems and associated bioaccumulation in fish [36]. In addition, we identified that the primary controlling factors of groundwater chemistry are domestic sewage, industrial wastewater, and chemical fertilizer. Therefore, we recommend that the environmental protection department prohibits the digging of wells to drain wastewater in the region of villages and industrial parks. Optimized fertilization strategies should also be promoted within the agricultural sector to prevent agricultural non-point pollutants in this region from affecting the groundwater chemistry.

5. Conclusions

We combined hydrochemical methods and multivariate statistical techniques to identify the hydrochemical properties and controlling factors of groundwater in the Huangshui River Basin in northwestern China. Our conclusions are summarized below.
The hydrochemistry of groundwater has been influenced by human activities. The concentrations of TH, Fe, NO3, SO42−, and Cl- in the samples exceeding the drinking water standards in China (GB/T14848-2017) were 33.3%, 35.3%, 8.97%, 23.1%, and 7.69%, respectively. The hydrochemical composition of groundwater in the industrial area is more strongly influenced by human activities. Therefore, environmental managers should pay close attention to these parameters to prevent them from posing a threat to healthy drinking water for the local population.
The main hydrochemical groundwater types were HCO3-Ca·Mg and HCO3·SO4-Ca·Mg. The proportions of SO4-type (50.6%), Na-type (32.1%), and Cl-type (13.5%) were high, which further confirmed that the groundwater chemistry has been influenced by human activity. In addition, the land use types significantly affected the hydrochemical characteristics of groundwater.
Rock weathering was the primary factor influencing the hydrochemistry of groundwater in this region. Evaporation–condensation and human activities have additional effects on the hydrochemical properties of groundwater. The hydrochemical composition of groundwater was mainly controlled by silicate rock weathering.
We recognized three factors influencing groundwater chemistry in this region based on the PCA results. These factors were water–rock interactions, domestic sewage, agricultural fertilizers, industrial sewage, and the “physicochemical” factor. Therefore, we recommend that the environment protection department prohibit the digging of wells to drain domestic and industrial sewage from villages and industrial parks. Optimized fertilization strategies should be promoted within the agricultural sector to prevent the groundwater chemistry from being affected by agricultural non-point pollutants in this region.

Author Contributions

Conceptualization, Q.Z. and B.Z.; methodology, Q.Z.; software, B.Z.; validation, Q.Z.; formal analysis, B.Z. and H.W.; investigation, B.Z., H.W. and Q.Z.; resources, Q.Z.; data curation, B.Z.; writing—original draft preparation, B.Z. and Q.Z.; writing—review and editing, Q.Z.; visualization, B.Z.; supervision, Q.Z.; project administration, Q.Z.; funding acquisition, Q.Z. All authors have read and agreed to the published version of the manuscript.

Funding

This work was funded by the projects of China Geological Survey, China, grant number DD20190331, the Fundamental Research Funds for the Institute of Hydrogeology and Environmental Geology, Chinese Academy of Geological Sciences (Grant No. SK202117) and China Postdoctoral Science Foundation, grant number 2020M670448.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Ma, B.; Jin, M.; Liang, X.; Li, J. Groundwater mixing and mineralization processes in a mountain–Oasis–Desert basin, northwest China: Hydrogeochemistry and environmental tracer indicators. Hydrogeol. J. 2017, 26, 233–250. [Google Scholar] [CrossRef]
  2. Zhang, Q.; Wang, H.; Wang, Y.; Yang, M.; Zhu, L. Groundwater quality assessment and pollution source apportionment in an intensely exploited region of northern China. Environ. Sci. Pollut. Res. 2017, 24, 16639–16650. [Google Scholar] [CrossRef] [PubMed]
  3. Pazand, K.; Khosravi, D.; Ghaderi, M.R.; Rezvanianzadeh, M.R. Identification of the hydrogeochemical processes and assessment of groundwater in a semi-arid region using major ion chemistry: A case study of Ardestan basin in Central Iran. Groundw. Sustain. Dev. 2018, 6, 245–254. [Google Scholar] [CrossRef]
  4. Ijioma, U.D. Delineating the impact of urbanization on the hydrochemistry and quality of groundwater wells in Aba, Nigeria. J. Contam. Hydrol. 2021, 240, 103792. [Google Scholar] [CrossRef]
  5. Yan, J.; Chen, J.; Zhang, W. Study on the groundwater quality and its influencing factor in Songyuan City, Northeast China, using integrated hydrogeochemical method. Sci. Total Environ. 2021, 773, 144958. [Google Scholar] [CrossRef]
  6. Huang, G.; Sun, J.; Zhang, Y.; Chen, Z.; Liu, F. Impact of anthropogenic and natural processes on the evolution of groundwater chemistry in a rapidly urbanized coastal area, South China. Sci. Total Environ. 2013, 463–464, 209–221. [Google Scholar] [CrossRef]
  7. Ren, C.; Zhang, Q. Groundwater chemical characteristics and controlling factors in a region of Northern China with intensive human activity. Int. J. Environ. Res. Public Health 2020, 17, 9126. [Google Scholar] [CrossRef]
  8. Herojeet, R.; Rishi, M.S.; Lata, R.; Sharma, R. Application of environmetrics statistical models and water quality index for groundwater quality characterization of alluvial aquifer of Nalagarh Valley, Himachal Pradesh, India. Sustain. Water Resour. Manag. 2016, 2, 39–53. [Google Scholar] [CrossRef] [Green Version]
  9. Mohammad, H.G.; Assefa, M.M.; Lakshmi, R.; Gholizadeh, M.H. Water quality assessment and apportionment of pollution sources using APCS-MLR and PMF receptor modeling techniques in three major rivers of South Florida. Sci. Total Environ. 2016, 566–567, 1552–1567. [Google Scholar]
  10. Zhang, Q.; Wang, L.; Wang, H.; Zhu, X.; Wang, L. Spatio-temporal variation of groundwater quality and source apportionment using multivariate statistical techniques for the Hutuo River Alluvial-Pluvial Fan, China. Int. J. Environ. Res. Public Health 2020, 17, 1055. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  11. Zhang, Q.; Wang, X.; Wan, W.; Hou, P.; Li, R.; Ouyang, Z. The spatial-temporal pattern and source apportionment of water pollution in a Trans-Urban River. Pol. J. Environ. Stud. 2015, 24, 841–851. [Google Scholar]
  12. Mei, X.X.; Lou, H.J.; Zhang, Z.; Liu, S. Groundwater vulnerability assessment on small watershed scale of the Huangshui River. Environ. Prot. Sci. 2013, 39, 48–53. (In Chinese) [Google Scholar]
  13. Qiu, Y.; Lu, C.; Xu, Z.; Wang, Y.Q. Spatio-temporal variation characteristics and water pollution sources in the Huangshui River Basin. Acta Sci. Circumstantiae 2017, 37, 2829–2837. (In Chinese) [Google Scholar]
  14. Xiao, L.; Zhang, Q.; Niu, C.; Wang, H. Spatiotemporal patterns in river water quality and pollution source apportionment in the Arid Beichuan River Basin of Northwestern China using positive matrix factorization receptor modeling techniques. Int. J. Environ. Res. Public Health 2020, 17, 5015. [Google Scholar] [CrossRef] [PubMed]
  15. Ministry of Natural Resources of the People’s Republic of China. Standard for Groundwater Quality, (GB/T14848-2017); General Administration of Quality Supervision, Inspection and Quarantine of the People’s Republic of China: Beijing, China, 2017. (In Chinese) [Google Scholar]
  16. Zhang, Q.; Miao, L.; Wang, H.; Hou, J.; Li, Y. How rapid urbanization drives deteriorating groundwater quality in a provincial capital of China. Pol. J. Environ. Stud. 2019, 29, 441–450. [Google Scholar] [CrossRef]
  17. Knezović, N.J.; Memić, M.; Mabić, M.; Huremović, J.; Mikulić, I. Correlation between water hardness and cardiovascular diseases in Mostar city, Bosnia and Herzegovina. J. Water Health 2014, 12, 817–823. [Google Scholar] [CrossRef]
  18. Kousa, A.; Havulinna, A.S.; Moltchanova, E.; Taskinen, O.; Nikkarinen, M.; Eriksson, J.; Karvonen, M. Calcium: Magnesium ratio in local groundwater and incidence of acute myocardial infarction among males in rural finland. Environ. Health Perspect. 2006, 114, 730–734. [Google Scholar] [CrossRef]
  19. Fleming, R.E.; Ponka, P. Iron overload in human disease. N. Engl. J. Med. 2012, 366, 771. [Google Scholar] [CrossRef] [Green Version]
  20. Li, Z.; Yang, Q.; Yang, Y.; Ma, H.; Wang, H.; Luo, J.; Bian, J.; Martin, J.D. Isotopic and geochemical interpretation of groundwater under the influences of anthropogenic activities. J. Hydrol. 2019, 576, 685–697. [Google Scholar] [CrossRef]
  21. Del Campo, M.A.M.; Esteller, M.; Expósito, J.L.; Hirata, R. Impacts of urbanization on groundwater hydrodynamics and hydrochemistry of the Toluca Valley aquifer (Mexico). Environ. Monit. Assess. 2014, 186, 2979–2999. [Google Scholar] [CrossRef]
  22. Güler, C.; Kurt, M.A.; Alpaslan, M.; Akbulut, C. Assessment of the impact of anthropogenic activities on the groundwater hydrology and chemistry in Tarsus coastal plain (Mersin, SE Turkey) using fuzzy clustering, multivariate statistics and GIS techniques. J. Hydrol. 2012, 414–415, 435–451. [Google Scholar] [CrossRef]
  23. Lockhart, K.; King, A.; Harter, T. Identifying sources of groundwater nitrate contamination in a large alluvial groundwater basin with highly diversified intensive agricultural production. J. Contam. Hydrol. 2013, 151, 140–154. [Google Scholar] [CrossRef]
  24. Li, P.; Wu, J.; Qian, H. Assessment of groundwater quality for irrigation purposes and identification of hydrogeochemical evolution mechanisms in Pengyang County, China. Environ. Earth Sci. 2013, 69, 2211–2225. [Google Scholar] [CrossRef]
  25. Mao, X.; Wang, H.; Feng, L. Impact of additional dead carbon on the circulation estimation of thermal springs exposed from deep-seated faults In the Dongguan basin, southern China. J. Volcanol. Geoth. Res. 2018, 361, 1–11. [Google Scholar] [CrossRef]
  26. Gao, Y.; Qian, H.; Ren, W.; Wang, H.; Liu, F.; Yang, F. Hydrogeochemical characterization and quality assessment of groundwater based on integrated-weight water quality index in a concentrated urban area—ScienceDirect. J. Clean. Prod. 2020, 260, 121006. [Google Scholar] [CrossRef]
  27. Abdelkader, R.; Larbi, D.; Rihab, H.; Fethi, B.; Chemseddine, F.; Azzedine, H. Geochemical characterization of groundwater from shallow aquifer surrounding Fetzara Lake N. E. Algeria. Arab. J. Geosci. 2010, 5, 1–13. [Google Scholar] [CrossRef]
  28. Guo, G.; Wu, F.; Xie, F.; Zhang, R. Spatial distribution and pollution assessment of heavy metals in urban soils from southwest China. J. Environ. 2012, 24, 410–418. [Google Scholar] [CrossRef]
  29. Jin, Z.; Qin, X.; Chen, L.; Jin, M.; Li, F. Using dual isotopes to evaluate sources and transformations of nitrate in the West Lake watershed, eastern China. J. Contam. Hydrol. 2015, 177–178, 64–75. [Google Scholar] [CrossRef] [PubMed]
  30. Gu, H.; Chi, B.; Li, H.; Jiang, J.; Qin, W.; Wang, H. Assessment of groundwater quality and identification of contaminant sources of Liujiang basin in Qinhuangdao, North China. Environ. Earth Sci. 2014, 73, 6477–6493. [Google Scholar] [CrossRef]
  31. Kim, K.-H.; Yun, S.-T.; Choi, B.-Y.; Chae, G.-T.; Joo, Y.; Kim, K.; Kim, H.-S. Hydrochemical and multivariate statistical interpretations of spatial controls of nitrate concentrations in a shallow alluvial aquifer around oxbow lakes (Osong area, central Korea). J. Contam. Hydrol. 2009, 107, 114–127. [Google Scholar] [CrossRef]
  32. Altın, A.; Filiz, Z.; Iscen, C.F. Assessment of seasonal variations of surface water quality characteristics for Porsuk Stream. Environ. Monit. Assess. 2008, 158, 51–65. [Google Scholar] [CrossRef] [PubMed]
  33. Feng, Z.; Huang, G.H.; Guo, H.; Wei, Z.; Hao, Z. Spatio-temporal patterns and source apportionment of coastal water pollution in eastern Hong Kong. Water Res. 2007, 41, 3429–3439. [Google Scholar]
  34. Simeonov, V.; Stratis, J.; Samara, C.; Zachariadis, G.; Voutsa, D.; Anthemidis, A.; Sofoniou, M.; Kouimtzis, T. Assessment of the surface water quality in Northern Greece. Water Res. 2003, 37, 4119–4124. [Google Scholar] [CrossRef]
  35. Hord, N.G. Dietary nitrates, nitrites, and cardiovascular disease. Curr. Atheroscler. Rep. 2011, 13, 484–492. [Google Scholar] [CrossRef] [PubMed]
  36. Zhang, Q.Q.; Wang, H.W.; Lu, C. Tracing sulfate origin and transformation in an area with multiple sources of pollution in northern China by using environmental isotopes and Bayesian isotope mixing model—ScienceDirect. Environ. Pollut. 2020, 265, 115105. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Groundwater sampling sites in the Huangshui River basin, Qinghai Province, China.
Figure 1. Groundwater sampling sites in the Huangshui River basin, Qinghai Province, China.
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Figure 2. The hydrogeological cross-section of the Huangshui River basin.
Figure 2. The hydrogeological cross-section of the Huangshui River basin.
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Figure 3. Spatial pattern of the (a) pH, (b) Cl, (c) SO42−, (d) NO3, (e) TDS and (f) Fe values in the Huangshui River basin.
Figure 3. Spatial pattern of the (a) pH, (b) Cl, (c) SO42−, (d) NO3, (e) TDS and (f) Fe values in the Huangshui River basin.
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Figure 4. Piper diagrams of groundwater in Huangshui River basin.
Figure 4. Piper diagrams of groundwater in Huangshui River basin.
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Figure 5. Hydrochemical type of groundwater for the sampling site in Huangshui River basin.
Figure 5. Hydrochemical type of groundwater for the sampling site in Huangshui River basin.
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Figure 6. Gibbs diagram for groundwater in Huangshui River basin.
Figure 6. Gibbs diagram for groundwater in Huangshui River basin.
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Figure 7. Ionic ratio plots of the major ions: (a) Cl/Na+, (b) (Ca2++Mg2+)/(HCO3+SO42−), (c) Ca2+ /Na+ VS Mg2+/Na+.
Figure 7. Ionic ratio plots of the major ions: (a) Cl/Na+, (b) (Ca2++Mg2+)/(HCO3+SO42−), (c) Ca2+ /Na+ VS Mg2+/Na+.
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Figure 8. Correlation analysis of groundwater hydrochemistry component in Huangshui River basin.
Figure 8. Correlation analysis of groundwater hydrochemistry component in Huangshui River basin.
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Table 1. Hydrochemical parameters, analytical method, equipment and detection limits.
Table 1. Hydrochemical parameters, analytical method, equipment and detection limits.
ParametersAnalytical MethodAnalytical EquipmentDetection Limit (mg/L)
Nitrate [NO3]SpectrophotometryPerkin-Elmer Lambda 35, Waltham, MA, USA0.664
Nitrite [NO2]0.003
Chloride [Cl]1.0
Sulfate [SO42−]0.75
Potassium [K+]Inductively coupled plasma-mass spectrometryAgilent 7500ce ICP-MS, Tokyo, Japan0.05
Sodium [Na+]0.01
Calcium [Ca2+]4.0
Magnesium [Mg2+]3.0
Iron [Fe]0.0045
Manganese [Mn]0.0005
Bicarbonate [HCO3]Acid–base titration5.0
Carbonate [CO32−]Acid–base titration5.0
Total dissolved solids [TDS]Gravimetric methods
Chemical oxygen demand (COD)Alkaline permanganate oxidationHach, USA, DRB200; Shimadzum, Japan, UV-17000.05
Total hardness [TH]EDTA titration method1.0
Table 2. Summary of groundwater chemical indicators in Huangshui River basin.
Table 2. Summary of groundwater chemical indicators in Huangshui River basin.
ParametersMin
(mg/L)
Max
(mg/L)
Mean
(mg/L)
SDCV
(%)
StandardExceed
Standard Rate(%)
pH6.529.657.540.3945.226.5–8.51.28
DO0.94014.85.752.5143.7
K+0.75089.55.798.69150
Na+2.69655713353540320014.7
Ca2+2.0660311510086.8
Mg2+1.1731540.247.5118
Cl1.7527211032672592507.69
SO42−10.0222127874126725023.1
HCO348.84210324336104
NO30.20039140.749.112188.68.97
NO20.0021.400.0400.1463643.290.00
TH10.0257245341892.145033.3
TDS80.0201908881715193100022.4
COD0.23015.41.261.561233.002.56
Fe0.0101302.4113.65650.335.3
Mn0.0056.010.1510.6604380.113.5
Note: Min: minimum value; Max: maximum value; Mean: average value; SD: standard deviation; CV: coefficient of variation; Standard is grade Ⅲ standard for groundwater quality in China (GB/T14848-2017).
Table 3. Statistic table of groundwater hydrochemistry type of different land use in this region.
Table 3. Statistic table of groundwater hydrochemistry type of different land use in this region.
Hydrochemical TypeSamples Proportions of Hydrochemical Type (%)
HCO3-Ca(Mg) Type SO4 TypeCl TypeNa Type
Urban area2532681652
Industrial area2114762967
Forest area175935018
Village area7249431433
Agricultural area2148431014
Sum15642511440
Table 4. Statistic table of groundwater hydrochemistry type of different type groundwater in this region.
Table 4. Statistic table of groundwater hydrochemistry type of different type groundwater in this region.
Groundwater TypeSamplesProportions of Hydrochemical Type (%)
HCO3-Ca(Mg) TypeSO4 TypeCl TypeNa Type
Loose stratum pore water12242521442
Clastic rock fissures water3459351212
Table 5. Rotated component matrix of PCA on datasets of hydrochemical parameters in the Huangshui River basin.
Table 5. Rotated component matrix of PCA on datasets of hydrochemical parameters in the Huangshui River basin.
ParametersFactors
PC1PC2PC3
TDS0.9470.1240.206
Mg2+0.9380.057−0.123
TH0.9020.102−0.287
SO42−0.8870.1810.238
Cl0.8810.1250.288
Na+0.8440.1440.372
HCO30.821−0.0870.003
Ca2+0.8030.125−0.391
NO30.631−0.347−0.131
Mn0.1130.9190.081
Fe−0.0370.9130.031
COD0.1260.5090.195
pH−0.199−0.1000.784
NO20.2090.4690.488
Eigenvalue6.812.371.41
% of Variance explained48.716.910.1
% Cumulative Variance48.765.675.7
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Zhou, B.; Wang, H.; Zhang, Q. Assessment of the Evolution of Groundwater Chemistry and Its Controlling Factors in the Huangshui River Basin of Northwestern China, Using Hydrochemistry and Multivariate Statistical Techniques. Int. J. Environ. Res. Public Health 2021, 18, 7551. https://doi.org/10.3390/ijerph18147551

AMA Style

Zhou B, Wang H, Zhang Q. Assessment of the Evolution of Groundwater Chemistry and Its Controlling Factors in the Huangshui River Basin of Northwestern China, Using Hydrochemistry and Multivariate Statistical Techniques. International Journal of Environmental Research and Public Health. 2021; 18(14):7551. https://doi.org/10.3390/ijerph18147551

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Zhou, Bing, Huiwei Wang, and Qianqian Zhang. 2021. "Assessment of the Evolution of Groundwater Chemistry and Its Controlling Factors in the Huangshui River Basin of Northwestern China, Using Hydrochemistry and Multivariate Statistical Techniques" International Journal of Environmental Research and Public Health 18, no. 14: 7551. https://doi.org/10.3390/ijerph18147551

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