Eighteen river- and two ground- water samples were collected on Huaibei plain. The major ions, and hydrogen and oxygen isotope concentrations were determined, and statistical and other analyses carried out. The results showed that all of the waters are alkaline, with high Total Dissolved Solids (TDS) concentrations. Na+ + K+, and SO42− + HCO3 are the dominant anionic and cationic species, respectively, and the waters are mainly Na·K-SO4 and Na·K-HCO3 types. The δD and δ18O in river waters ranged from −53.07‰ to −22.07‰ and −6.97‰ to −1.23‰, with average values of −38.30‰ and −4.09‰, respectively. The δD and δ18O concentrations in groundwater were lower than in the river water samples. The correlation between δD and δ18O concentrations in the river water can be described by the formula δD = 5.32*δ18O − 16.54, which can also be considered the local evaporation line. The ionic content and character of the river water is mainly controlled by precipitation, evaporation and carbonate weathering, as deduced from the Gibbs diagram and principal component analyses.

Surface water systems like rivers, lakes and swamps are important in the human environment, serving as major stores of water resources. Many studies have examined the hydrochemical characteristics and evaluated water quality, based on major and trace element, and stable isotope determinations in surface waters (Bertrand et al. 2014; Li et al. 2014; Martinez et al. 2015). Such studies provide supporting information for efficient surface water development schemes and help to reduce water quality deterioration. Isotope technology development since the 1950s and 1960s has led to its successful use in research into the water cycle. The main applications of hydrogen and oxygen isotope determination in water research are to follow the water cycle, determine water sources, and the components of surface- and ground- water flow, and separate water sources (West et al. 2014; Shen et al. 2015).

Since the 1980s, droughts have occurred frequently, causing serious water shortages, in North China. Human activities, runoff generation and recharge conditions on the plain have also changed substantially. The Huaibei Plain, in northern Anhui province, is the main component of the North China Plain, which has significant coal resources. The region is at the southern end of the warm temperate zone, with an average annual temperature of 14 or 15 °C. The main crops are wheat, corn, soybean and sorghum, as well as cotton and peanuts. The depth to which coal is exploited on the Huaibei Plain also shows up the water resource problem. So, studies providing hydrochemical information on the surface waters are needed. To date, studies focused on the major ion and isotopic contents of the surface waters have not been undertaken on the Plain.

The objectives of this study were to discuss the hydrochemical characteristics of the major elements, and hydrogen and oxygen stable isotopes, by sampling the river- and ground- water of the plain, determining the major element and isotope concentrations, to reveal the hydrochemical distribution characteristics and their influencing factors.

The Huaibei Plain covers about 38,000 km2 in the north area of the Huaihe River of Anhui Province (Figure 1). Its average altitude is 20 to 40 m above sea level and it has a marine-continental climate, with many rivers, all of which are within the Huaihe River system. Flows in these seasonal rivers are controlled by rainfall precipitation. They flow northwest to southeast, via the Hongze Lake to the sea.
Figure 1

Sampling sites, etc., on the Huaibei Plain.

Figure 1

Sampling sites, etc., on the Huaibei Plain.

Close modal

According to data collected during the period 2005 to 2009, mean annual precipitation on the plain is between about 600 and 1,400 mm. During a typical year, about 70% of rainfall occurs from June to September, known as the rainy season. Most of the Plain is covered with Quaternary strata, with a small amount of exposed bedrock in the northeast. The basement of Huaibei Plain comprises Archean and Proterozoic metamorphic rocks, covered by late-Proterozoic to Permian sediments. Groundwater resources in the region have been abundant historically, the shallow groundwater providing the main irrigation and domestic supplies for rural residents of the Plain.

To reveal the hydrochemical character of the river water, eighteen representative samples were collected of river water and two of shallow groundwater (Figure 1). The latter were collected from artesian wells, approximately 30 m deep, and the sampling sites are shown in Figure 1. To ensure the accuracy of the determinations, every fifth sample was taken in duplicate. The samples were put into 2.5 L plastic barrels, which had been rinsed three times with the water, and the sampling location (longitude and latitude), temperature, pH, conductivity, and TDS were all recorded on site. All surface water samples were analyzed for the major ions, and stable hydrogen and oxygen isotope concentrations, while the shallow groundwater samples were tested only for the hydrogen and oxygen isotope concentrations. The major ions were analyzed in the Department of Coal Geology's Anhui Province testing center, China. K+ + Na+ were analyzed by atomic absorption spectrometry, SO42− and Cl by ion chromatography, Ca2+ and Mg2+ by EDTA titration, and alkalinity by acid-base titration. It is noted that K and Na were determined together, as if a single species (Ussing 1959). The isotopic compositions were determined in the National Engineering Research Center of Coal Mine Water Hazard Control Laboratory and are reported relative to Standard Mean Ocean Water, and the analytical precisions are ±0.5‰ and 0.1‰ for δD and δ18O.

Major ion chemistry

The results from analyses of the river water samples are presented in Table 1. The river water samples were mainly Na-SO4 and Na-HCO3 types, with a few Na-Cl and Ca-HCO3, indicating that Na+ + K+, SO42−, and HCO3 are the dominant ions in the river water.

Table 1

Major element (mg/l) and stable isotope (‰) concentrations

NoK+ + Na+Ca2+Mg2+ClSO42−HCO3CO32−Water typeECTDSpHδDδ18O
Min. 20.93 22.67 14.66 36.03 19.35 128.24 0.00  376.00 269.00 7.65 −53.07 −6.97 
Max. 631.56 115.20 97.21 490.75 1,190.35 463.75 127.74  3,610.00 2,619.10 9.35 −22.07 −1.23 
Med. 310.51 54.50 48.11 165.59 223.50 307.89 18.77  1,795.00 1,173.50 8.52 −37.51 −3.97 
20.93 30.77 18.66 36.03 19.35 128.24 15.02 Ca-HCO3 376 269.0 9.00 −24.03 −1.34 
375.08 23.36 34.20 247.69 183.57 322.19 127.74 Na-HCO3 2,080 1,314.0 9.35 −37.67 −3.65 
358.18 70.44 46.64 81.51 569.24 357.76 87.60 Na-SO4 2,440 1,571.4 8.95 −46.01 −5.36 
166.57 105.53 60.58 336.65 162.17 283.13 0.00 Na-Cl 1,750 1,114.6 8.15 −41.02 −4.80 
470.40 72.06 46.64 490.75 432.39 211.20 37.54 Na-Cl 3,550 1,758.1 8.91 −52.41 −6.69 
176.94 45.34 49.58 142.42 260.54 244.27 17.52 Na-SO4 1,380 936.6 8.44 −33.36 −3.01 
314.68 80.15 97.21 223.07 637.98 394.40 0.00 Na-SO4 2,550 1,747.5 8.12 −36.06 −3.73 
483.39 62.03 65.46 237.22 847.07 226.99 43.21 Na-SO4 2,850 1,965.4 8.60 −36.42 −4.01 
322.53 22.67 39.28 163.01 464.28 155.22 47.55 Na-SO4 1,840 1,214.5 9.05 −27.78 −1.99 
10 75.53 29.96 31.42 51.48 20.58 295.17 20.02 Na-HCO3 734 524.2 8.48 −34.46 −3.59 
11 631.56 86.20 81.09 280.83 1,190.35 349.03 0.00 Na-SO4 3,610 2,619.1 8.16 −37.35 −3.93 
12 420.17 65.58 59.40 269.40 560.60 363.87 35.04 Na-SO4 2,670 1,774.1 8.53 −43.17 −5.34 
13 505.33 78.53 79.53 214.49 1,015.83 320.61 0.00 Na-SO4 3,180 2,214.3 7.81 −42.65 −4.65 
14 54.59 29.81 66.44 71.52 66.68 244.08 57.62 Mg-HCO3 799 590.7 9.27 −22.07 −1.23 
15 142.78 25.91 35.35 123.55 112.78 249.36 15.02 Na-HCO3 997 704.8 8.55 −24.84 −1.54 
16 173.38 46.96 49.58 168.16 186.45 325.70 0.00 Na-HCO3 1,330 950.2 8.17 −46.46 −5.38 
17 87.13 115.20 41.03 130.82 107.02 456.43 0.00 Ca-HCO3 1,240 937.6 7.65 −53.07 −6.97 
18 306.34 28.20 14.66 150.01 123.89 463.75 45.62 Na-HCO3 1,138 1,132.5 8.50 −50.55 −6.34 
19         1,240 868.0 7.30 −54.39 −7.29 
20         776 568.0 7.40 −57.73 −8.03 
NoK+ + Na+Ca2+Mg2+ClSO42−HCO3CO32−Water typeECTDSpHδDδ18O
Min. 20.93 22.67 14.66 36.03 19.35 128.24 0.00  376.00 269.00 7.65 −53.07 −6.97 
Max. 631.56 115.20 97.21 490.75 1,190.35 463.75 127.74  3,610.00 2,619.10 9.35 −22.07 −1.23 
Med. 310.51 54.50 48.11 165.59 223.50 307.89 18.77  1,795.00 1,173.50 8.52 −37.51 −3.97 
20.93 30.77 18.66 36.03 19.35 128.24 15.02 Ca-HCO3 376 269.0 9.00 −24.03 −1.34 
375.08 23.36 34.20 247.69 183.57 322.19 127.74 Na-HCO3 2,080 1,314.0 9.35 −37.67 −3.65 
358.18 70.44 46.64 81.51 569.24 357.76 87.60 Na-SO4 2,440 1,571.4 8.95 −46.01 −5.36 
166.57 105.53 60.58 336.65 162.17 283.13 0.00 Na-Cl 1,750 1,114.6 8.15 −41.02 −4.80 
470.40 72.06 46.64 490.75 432.39 211.20 37.54 Na-Cl 3,550 1,758.1 8.91 −52.41 −6.69 
176.94 45.34 49.58 142.42 260.54 244.27 17.52 Na-SO4 1,380 936.6 8.44 −33.36 −3.01 
314.68 80.15 97.21 223.07 637.98 394.40 0.00 Na-SO4 2,550 1,747.5 8.12 −36.06 −3.73 
483.39 62.03 65.46 237.22 847.07 226.99 43.21 Na-SO4 2,850 1,965.4 8.60 −36.42 −4.01 
322.53 22.67 39.28 163.01 464.28 155.22 47.55 Na-SO4 1,840 1,214.5 9.05 −27.78 −1.99 
10 75.53 29.96 31.42 51.48 20.58 295.17 20.02 Na-HCO3 734 524.2 8.48 −34.46 −3.59 
11 631.56 86.20 81.09 280.83 1,190.35 349.03 0.00 Na-SO4 3,610 2,619.1 8.16 −37.35 −3.93 
12 420.17 65.58 59.40 269.40 560.60 363.87 35.04 Na-SO4 2,670 1,774.1 8.53 −43.17 −5.34 
13 505.33 78.53 79.53 214.49 1,015.83 320.61 0.00 Na-SO4 3,180 2,214.3 7.81 −42.65 −4.65 
14 54.59 29.81 66.44 71.52 66.68 244.08 57.62 Mg-HCO3 799 590.7 9.27 −22.07 −1.23 
15 142.78 25.91 35.35 123.55 112.78 249.36 15.02 Na-HCO3 997 704.8 8.55 −24.84 −1.54 
16 173.38 46.96 49.58 168.16 186.45 325.70 0.00 Na-HCO3 1,330 950.2 8.17 −46.46 −5.38 
17 87.13 115.20 41.03 130.82 107.02 456.43 0.00 Ca-HCO3 1,240 937.6 7.65 −53.07 −6.97 
18 306.34 28.20 14.66 150.01 123.89 463.75 45.62 Na-HCO3 1,138 1,132.5 8.50 −50.55 −6.34 
19         1,240 868.0 7.30 −54.39 −7.29 
20         776 568.0 7.40 −57.73 −8.03 

In general, electrical conductivity (EC) reflects the length of the flow paths and residence times in the water cycle, as it is a function of TDS (Song et al. 2006). The EC of water increases gradually with increasing flow path length, because the water is continually dissolving minerals from the surrounding rocks and soils, and exchanging ions with them. Thus, the flow paths could be determined approximately, and, further, the recharge-discharge relationships between ground- and surface waters, by the spatial distribution tendency of the EC values in water bodies. The EC of the shallow groundwater (samples 19 and 20) exceeds that of the surface water–e.g., sample 1–indicating that the groundwater is recharged by surface water in the headwater area. The ionic concentrations were plotted on a Piper diagram (Figure 2) to gain a better understanding of the water's hydrochemical characteristics. This shows that the concentrations of K+ + Na+ exceed those of Ca2+ and Mg2+ combined, in most samples, while the concentrations of SO42− and Cl exceed those of HCO3 and CO32−.
Figure 2

Piper diagram of river water sample quality.

Figure 2

Piper diagram of river water sample quality.

Close modal

Statistical analysis

Previous studies have shown that multivariate, statistical analyses–e.g., the correlation and principal component analyses (PCA)–were good ways to reveal the complex relationships between variables, as well as their roles (Yidana et al. 2008; Tiri et al. 2014). Both correlation and PCA analyses were used in this study, and the results are presented in Tables 2 and 3.

Table 2

Correlation matrix determinants in river water from the Huaibei Plain

ParameterNa+ + K+Ca2+Mg2+ClSO42−HCO3CO32−TDSPHD18O
Na+ + K+           
Ca2+ 0.28          
Mg2+ 0.47 0.55*         
Cl 0.64** 0.46 0.37        
SO42− 0.88** 0.42 0.71** 0.41       
HCO3 0.17 0.43 0.16 0.02 0.11      
CO32− 0.16 −0.46 −0.33 −0.04 −0.14 −0.06     
TDS 0.96** 0.50* 0.66** 0.63** 0.94** 0.28 −0.02    
pH −0.08 −0.69** −0.39 −0.11 −0.29 −0.54* 0.79** −0.28   
−0.36 −0.57* 0.01 −0.47 −0.16 −0.66** 0.04 −0.40 0.45  
18−0.35 −0.60** −0.01 −0.48* −0.16 −0.66** 0.07 −0.40 0.47 0.99** 
ParameterNa+ + K+Ca2+Mg2+ClSO42−HCO3CO32−TDSPHD18O
Na+ + K+           
Ca2+ 0.28          
Mg2+ 0.47 0.55*         
Cl 0.64** 0.46 0.37        
SO42− 0.88** 0.42 0.71** 0.41       
HCO3 0.17 0.43 0.16 0.02 0.11      
CO32− 0.16 −0.46 −0.33 −0.04 −0.14 −0.06     
TDS 0.96** 0.50* 0.66** 0.63** 0.94** 0.28 −0.02    
pH −0.08 −0.69** −0.39 −0.11 −0.29 −0.54* 0.79** −0.28   
−0.36 −0.57* 0.01 −0.47 −0.16 −0.66** 0.04 −0.40 0.45  
18−0.35 −0.60** −0.01 −0.48* −0.16 −0.66** 0.07 −0.40 0.47 0.99** 

** and * mark Pearson coefficients of 0.01 and 0.05, respectively.

Table 3

PCA of determinants in river water from the Huaibei Plain

ParameterPC1PC2PC3
TDS 0.87 0.47 0.06 
Ca2+ 0.79 −0.29 −0.24 
SO42− 0.74 0.57 −0.18 
Na+ + K+ 0.74 0.58 0.26 
δ18−0.71 0.50 −0.46 
δD −0.70 0.49 −0.49 
Cl 0.66 0.26 0.24 
Mg2+ 0.63 0.37 −0.51 
pH −0.63 0.53 0.50 
HCO3 0.54 −0.54 0.21 
CO32− −0.30 0.38 0.79 
Initial eigenvalue 5.06 2.36 1.84 
Variance (%) 46.03 21.48 16.71 
Cumulative variance (%) 46.03 67.51 84.22 
ParameterPC1PC2PC3
TDS 0.87 0.47 0.06 
Ca2+ 0.79 −0.29 −0.24 
SO42− 0.74 0.57 −0.18 
Na+ + K+ 0.74 0.58 0.26 
δ18−0.71 0.50 −0.46 
δD −0.70 0.49 −0.49 
Cl 0.66 0.26 0.24 
Mg2+ 0.63 0.37 −0.51 
pH −0.63 0.53 0.50 
HCO3 0.54 −0.54 0.21 
CO32− −0.30 0.38 0.79 
Initial eigenvalue 5.06 2.36 1.84 
Variance (%) 46.03 21.48 16.71 
Cumulative variance (%) 46.03 67.51 84.22 

It can be seen in Table 2 that there is a certain degree of positive correlation between Ca2+ and Mg2+, with a correlation matrix of 0.55. This is thought to indicate dolomite dissolution. No correlation was found between any of the anions reported. Positive correlations exist between Na+ + K+ and SO42−, and Na+ + K+ and Cl, with correlation matrices of 0.88 and 0.64, respectively, indicating that these ions came from the same source. In addition, HCO3 and Ca2+ showed negative correlations with D and 18O, with correlation matrices of −0.66, −0.66, −0.57 and −0.60, respectively. This suggests that the hydrogen and oxygen isotope fractionation in the water samples could be influenced by carbonate-type minerals.

The hydrochemical composition of river water is controlled mainly by precipitation, evaporation, and water-rock interactions, as well as by human activity (Song et al. 2006). The PCA was conducted to obtain detailed statistical information. The rotated PCA loadings are presented in Table 3, where it can be seen that there are three principal components, with initial eigenvalues of 5.06, 2.36, and 1.84, respectively. More than 84.22% of cumulative variance was found, and parameters like TDS, Ca2+, SO42−, Na+ + K+, Cl and Mg2+ all have high values in PC1, showing that this arises mainly from ionic sources controlled by precipitation. PC2 accounts for 21.48% of the total variance with an eigenvalue of 2.36. Combined with the high loading values for TDS, D, and 18O, this suggests that PC2 could arise from evaporation. Evaporation usually leads to enrichment of deuterium and heavy oxygen isotopes in river water, as the lighter isotopes volatilize. The pH values and CO32− have high values in PC3, indicating carbonate dissolution and acidification, which also affects the proportions of D and 18O in river water.

Isotopic composition

The results of the δD and δ18O analyses of river- and shallow ground- water from the Huaibei Plain are plotted on Figure 3. The values of δ18O in river water varied from −6.97‰ to −1.23‰, with a median value of −3.97‰, while the δD varied from −53.07‰ to −22.07‰, with a median value of −37.51‰. The shallow groundwater (samples 19 and 20) have the lowest δD and δ18O contents, with values of −54.39 and −7.29‰ (δD), and −57.73 and −8.03‰, respectively. All water samples were collected in July, 2014, when the climate were relatively dry, so that the δD and δ18O concentrations in the river water were controlled by evaporation, resulting in the greatest extent of heavy isotope enrichment.
Figure 3

Variations in δD and δ18O content in water samples from the Huaibei Plain.

Figure 3

Variations in δD and δ18O content in water samples from the Huaibei Plain.

Close modal

Other data–e.g., the global meteoric water line (GMWL), local meteoric water line (LMWL) and local surface water line (LSWL)–were required to obtain more information about the heavy isotope characteristics of the Huaibei Plain river water samples. The GMWL is characterized as δD = 8*δ18O + 10.56 (Craig 1961); the LMWL as δD = 7.9*δ18O + 8.2, summarized from stable isotope data (Zhang 1989), and the LSWL as δD = 6.74*δ18O − 3.33 (Gui et al. 2005). All these lines, and the isotopic signatures of the river and ground- water samples are shown in Figure 3. The river water samples all plotted below the LSWL, LMWL, and GMWL, suggesting that the source of the river water was rainfall with varying degrees of evaporation. The two shallow groundwater samples plot on or near the LSWL.

There is a strong positive correlation between δD and δ18O, with a correlation matrix of 0.99, described by the equation δD = 5.32*δ18O − 16.54. Compared to the GMWL and LMWL, the value of the equation slope (5.32) is lower than that obtained from the two previous equations, indicating that hydrogen and oxygen isotope fractionation could be occurring in the surface waters. However, the slope value is similar to that of previous data from the Yellow River (Su et al. 2003; Gao et al. 2011); the slopes are 5.29 and 4.71, respectively. Thus, the hydrogen and oxygen isotopic ratios in river waters from the Huaibei Plain are controlled by similar factors to those on the Yellow River. Previous studies have shown that the proportions of δD and δ18O in river water are controlled mainly by evaporation, so that the river water data are described by the local evaporation line, especially in the dry season. Because of this, the equation δD = 5.32*δ18O − 16.54 describes both the local evaporation line and the relationship between δD and δ18O.

Hydrochemistry

The ionic sources of the river water are complex, influenced by both natural conditions and human activity. Gibbs (1970) discussed the sources of ions in river water using a diagram comparing TDS and ionic group ratios–e.g., Na+/(Na+ + Ca2+), Cl/(Cl + HCO3). In general, river water samples have low TDS contents and high ionic group ratios (close to 1), if river water is derived directly from precipitation, without other influencing factors. Conversely, the ions in river water are usually derived from rock weathering, so that the TDS content is higher and the ionic group ratios are below 0.5. Figure 4 shows plots of TDS-(Na+ + K+)/(Na+ + K+ + Ca2+) and TDS-Cl/(Cl + HCO3) for the river water samples from the Huaibei Plain. The higher ratio for (Na+ + K+)/(Na+ + K+ + Ca2+) shown in Figure 4 could have arisen during calculation, using the Na+ + K+ concentrations–as determined–instead of the Na+ concentration. The relatively higher TDS concentrations in river water are likely to indicate that the ionic content of the river water on the Huaibei Plain is affected by both weathering and evaporation. This is supported by the correlation analyses and PCA.
Figure 4

Gibbs diagram of river water from the Huaibei Plain.

Figure 4

Gibbs diagram of river water from the Huaibei Plain.

Close modal

TDS reflects the total concentration of major ions in water, indicating the total salinity. In general, TDS increases gradually along the river's flow path. As would be expected, the concentration of TDS in riverine headwaters is less than that downstream. EC, which also reflects water-rock interaction, etc., has similar characteristics.

Comparison of TDS with δD and δ18O concentrations shows that the stable isotope–δD and δ18O–concentrations in the river water generally decrease as TDS increases. In other words, a negative correlation exists between TDS, and δD and δ18O; its correlation matrix is −0.4 (Table 2). The concentrations of δD and δ18O in river water are not controlled only by evaporation. Previous studies (Chen et al. 2008) have shown that isotope exchange reactions between water and surrounding rocks could lead to light isotope enrichment. The concentration of HCO3 also showed negative correlation with δD and δ18O (Table 2).

Eighteen river- and two shallow ground- water samples were collected on the Huaibei Plain, China, the hydrochemistry and isotopic characteristics were studied, and statistical analyses carried out:

All waters sampled were alkaline, with relatively high TDS contents. Na+ + K+, determined as a single species, are the dominant cations, while the dominant anions are SO42− and HCO3. The river waters are mainly Na·K-SO4 and Na·K-HCO3 types, with a very few Na·K-Cl and Ca-HCO3. EC and TDS in the headwaters are lower than downstream, and variations in their levels reflect the rivers’ flow paths.

Three Principal Components, representing three influencing factors controlling the ionic sources, were found, accounting for more than 84% of the cumulative variance. PC1 appears to relate to precipitation, as it concerns mainly ionic sources. PC2 could be arise from evaporation, with principal contributions from TDS, and the stable hydrogen and oxygen isotopes. PC3 has high contributions from pH and CO32−, indicating carbonate dissolution.

The river water samples have high concentrations of δ18O and δD compared to the shallow groundwaters in the Huaibei Plain, arising from evaporation. The correlation between the proportions of D and 18O in the river water can be described by the equation δD = 5.32*δ18O − 16.54, which is that of the local evaporation line.

The relatively high TDS concentrations and low ionic ratios of TDS-(Na+ + K+)/(Na+ + K+ + Ca2+) and TDS-Cl/(Cl + HCO3) in the river waters suggest that the ionic content of the water samples arises from both rock weathering and evaporation. The negative correlations between TDS and HCO3 with both δD and δ18O indicate that carbonate dissolution has also had affected the hydrogen and oxygen isotope characteristics.

The study was supported by the National Nature Science Foundation of China (41373095), the Key projects of University young talents in Anhui Province (gxyqZD2016346) and the Postdoctoral research project in Suzhou University (2015BHB01).

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