Next Article in Journal
Identifying the Mechanisms behind the Positive Feedback Loop between Nitrogen Cycling and Algal Blooms in a Shallow Eutrophic Lake
Previous Article in Journal
Cadmium Accumulation and Kinetics in Solea senegalensis Tissues under Dietary and Water Exposure and the Link to Human Health
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Stable Carbon and Sulfur Isotope Characteristics of Stream Water in a Typical Karst Small Catchment, Southwest China

1
Institute of Geochemistry, Chinese Academy of Sciences, Guiyang 550002, China
2
The College of Resources and Environmental Engineering, Guizhou University, Guiyang 550025, China
*
Author to whom correspondence should be addressed.
Water 2021, 13(4), 523; https://doi.org/10.3390/w13040523
Submission received: 19 October 2020 / Revised: 1 January 2021 / Accepted: 6 January 2021 / Published: 18 February 2021
(This article belongs to the Section Water Erosion and Sediment Transport)

Abstract

:
Surface water samples from the Maolan National Natural Reserved Park (MNNRP) were analyzed from Sept. 2013 to June 2014, for major ion concentrations (K+, Na+, Ca2+, Mg2+, Cl, SO42−, HCO3), δ13C-DIC and δ34S-SO42− to quantify the sources of solutes and chemical weathering. The results show that HCO3 and SO42− are the main anions in Banzhai watershed, which account for 86.2 and 10.4% of the total anion equivalent, respectively. While Ca2+ and Mg2+ account for 76.9 and 20.5%, respectively. Considerable Mg2+ in stream water indicates that it may be affected by dolomite weathering. stream water samples present the δ13C-DIC values in the range of −16.9‰~−10.8‰ (mean value was −13.9‰), which were lower than that of the groundwater. The δ34S-SO42− values ranged from −15.2‰ to 1.7‰ (mean value was −4.4‰). There was a negative correlation between HCO3 content and δ13C value, implying the result of the interaction of temperature and precipitation intensity in different seasons. The significant positive correlation between SO42− content and δ13C-DIC indicates that H2SO4 may be involved in the weathering process of carbonate rocks in small watershed scale. The content of SO42− in a school sample site was much higher than that of other sample sites for the interference from human sources. The δ34S values show that the average δ34S-SO42− in most sites is close to the δ34S isotopic values of Guizhou coal and rain, indicating that they may be affected by local coal.

1. Introduction

Previous studies showed that the sources of stream solutes come from natural processes and anthropogenic inputs. In these processes, the sources of various solutes need to be further improved [1,2]. Chemical weathering is the main sources of the stream solutes and is also the most important sinks of atmospheric CO2 in watersheds [1,3,4]. In general, the dissolved inorganic carbon (DIC) in stream water come from soil CO2, dissolution of carbonate minerals and atmospheric CO2 [5]. C isotopes of the DIC are widely used as a tracer to discriminate and quantify carbon sources and processes involved in the stream carbon cycle [6,7,8,9]. However, the variations of δ13C in DIC remain quite difficult to interpret despite carbon isotopes of carbonate minerals and of soil CO2 are distinctive enough, because streaming respiration and isotopic equilibration with atmospheric CO2 [10,11]. Although CO2 is the main agent of chemical weathering of carbonate rocks, other acidic substances, including sulfuric acid, nitric acid and so on, are involved in the process of chemical weathering in various ways. These acidic substances are not only produced in natural processes such as volcanoes, lightning, atmospheric photochemical reactions, natural oxidation of minerals, but also from human activities dominated by fossil fuel combustion. With the process of industrialization and urbanization, the more acidic substances released in the process of human activities cannot be ignored [12]. Chemical weathering can be influenced by human perturbations such as sulfuric acid (H2SO4) and nitric acid (HNO3), and these acids can also accelerate chemical weathering rate [13,14,15,16]. Moreover, it is feasible to distinguish the sources of stream SO42 by using the S isotope [13,17,18]. Therefore, in combine with the C and S isotopes, the geochemical processes of the chemical weathering and its environmental effect can be examined.
The carbonate rocks are widely distributed in southwest China, where the total area of carbonate outcrops is about 540,000 km2, which is one of the largest karst areas in the world [19]. However, there are few studies about the temporal variability of carbon biogeochemical cycles and effects of carbonate weathering in the small karst catchment scale. As a typical karst small catchment area, the Maolan National Natural Reserved Park (MNNRP) is essentially mono-lithology, and there is little isotope variation from the weathering of different rock types [20]. Therefore, MNNNRP is an ideal site to study the effects of carbonate weathering processes by carbonic acid and potential sulfur acid.
As the typical karst catchment in southwest China, much research has been conducted to examine the compositions of rainwater [20,21], groundwater [20] and soil [22,23] in MNNRP area. However, little research of the multi-isotopic composition of stream water has been investigated systematically up to now. This study conducts stream water analyses including major ions, δ13C-DIC and δ34S-SO4 and aims to investigate (1) analysis of the spatial-temporal distribution of the major ions, δ13C-DIC and δ34S-SO4 in small watershed scale and its influencing factors; (2) the C and S isotope coupling mechanism in the weathering process of carbonate rocks, exploring the significance of the δ13C-DIC and δ34S-SO4 signals during the identification of sources of solutes. The results would greatly help manage and protect the water resources and provide water resources a guarantee from the small karst watershed scale.

2. Materials and Methods

2.1. Study Site

The Maolan National Natural Reserved Park (MNNRP) is famous for its dense virgin evergreen forests growing on peak cluster karst. This park located in the subtropical monsoon region, and the precipitation is concentrated into the high-sun season. The sampling site is situated in the MNNRP, which is in the southeast of Guizhou province, southwest China. The carbonate of middle- and lower-Carboniferous ages are widely distributed in this study area. The karst geomorphology, together with the forest growing on the base rock in the habitat, forms a unique natural complexity of karst forest in the subtropical region. The lithology of Banzhai watershed system is middle Carboniferous limestone and dolomite. The occurrence of the strata is gentle. There are lower Carboniferous marl, shale and siliceous rock strata only near the downstream of the watershed.

2.2. Sampling

The field surveys were conducted from September 2013 to June 2014. Four samples were collected from each sampling site according to spring (March), summer (June), autumn (September) and winter (December). A total of 24 steam water samples were collected in a small karst catchment called Banzhai in the Maolan National Natural Reserved Park (Figure 1). Six sampling points have been set up in this small watershed:
  • School (25°14′05″ N, 108°01′51″ E, H 542 m.a.s.l), well.
  • Liming (25°13′28″ N, 108°01′25″ E, H 554 m.a.s.l), spring.
  • Village (25°13′53″ N, 108°01′02″ E, H 602 m.a.s.l), spring.
  • Upstream (25°13′07″ N, 108°00′24″ E, H 560 m.a.s.l), river water.
  • Midstream (25°13′21″ N, 108°00′52″ E, H 539 m.a.s.l), river water.
  • Downstream (25°13′48″ N, 108°01′34″ E, H 529 m.a.s.l), river water.
The water samples were collected at a depth about 20 cm from the stream on the bank with pre-cleaned 1.5-L high-density polyethylene (HDPE) bottles. The samples for δ13C-DIC analysis were filtered through a pre-cleaned 0.45 μm cellulose acetate filter membrane, stored in the polyethylene bottles with air-tight caps, and HgCl2 was added to prevent biological activity. The stream samples for δ34S-SO4 and ions concentration analysis were filtered through a pre-cleaned 0.22 μm membrane (Millipore), the samples for anions measurement were directly kept in HDPE bottles, while the samples for cations and S isotopic detection were kept in the HDPE bottles after acidification with the high-purity HCl to pH < 2. All the containers were sealed and kept refrigerated at about 4 °C until analyses.

2.3. Analytical Procedure

EC, pH and other physical–chemical parameters of stream water samples were measured in the field by 6920-YSI water quality analyzer. The HCO3 concentrations were titrated by HCl in situ. The cations (Na+, K+, Ca2+, Mg2+) and anions (Cl, NO3, SO42−) were determined by DIONEX ICS-900 ion chromatograph in Guizou University. The normalized ion charge ([TZ+−TZ]/TZ) of most samples is less than ±5%, replicate samples and laboratory mixing standard solutions were employed to assess the accuracy of all the analysis, the relative standard deviations of all the analysis were within ±5%.
The pretreatment of the carbon stable isotope measurement followed the modified method [24] and was employed many times in our previous studies [20]. In short, each ~10 mL sample was injected into glass bottles with by the syringes, 1 mL 85% phosphoric acid and magnetic stir bars were set in the bottles in advance. The dissolved carbon species were converted as CO2 by the acid, then the CO2 was extracted into a vacuum line and pass through the N2 cooled ethanol trap to separated H2O; finally, the CO2 was transferred into a tube under cryogenical condition for the next isotope measurement. The C isotope ratios of DIC were measured by the Finigan MAT 252 mass spectrometer and reported by the δ notation relative to PDB in per mil, as follows:
δ 13 C = ( R s a m p l e R P D B 1 ) × 1000
The pretreatment method of S stable isotope followed previous studies [16,18]. In brief, the dissolved SO42− in samples was converted as barium sulfate precipitation by using the 10% barium chloride solutions (BaCl2); after resting 48 h, the mixture was filtered through 0.22 μm membrane filters. The precipitation (BaSO4) was calcined under 800 °C for about 40 min. The S isotopic compositions of BaSO4 were measured by Finnigan Delta-C isotope IRMS and were reported by the δ notation relative to Vienna-Canyon Diablo Troilite (VCDT) in per mil as follow:
δ 34 S = ( R s a m p l e R P D B 1 ) × 1000
The standards NBS19, CO9, GBW04416, GBW04417 for C isotope and NBS 127, IAEA-SO-5(BaSO4) for S isotope were measured to check the accuracy of all the analysis; the results were within the recommended values, the 2SD values were within ±0.02‰.

3. Results

3.1. Variations in Physico-Chemical Data of Water Samples

Major ion concentrations, δ13C-DIC and δ34S-SO42− ratios of the water samples are given in Table 1. The water temperature ranged from 12.6 °C in winter to 22.8 °C in summer. The mean pH value was 7.4 (ranging from 6.7 to 8.1) indicating the water samples were slightly alkaline. The normalized ion charge ([TZ+−TZ]/TZ) was less than ±10%; the slight imbalance may result from the organic complex matters [25].
The relative proportions of major ions are showed in the piper diagrams (Figure 2). The order of the cations is Ca2+ > Mg2+ > Na++K+. The Ca2+ is the dominant cations in water samples and constitutes more than 60% of the cations. The order of the anions is HCO3 > SO42 > Cl; bicarbonate (HCO3) was the dominant anion and contributes about more than 50% of the total anions in this watershed.

3.2. Temporal and Spatial Variation of C and S Isotope Compositions

The concentration of dissolved inorganic carbon is the sum of the inorganic carbon species in a given solution.
DIC = [HCO3*] + [HCO3] + [CO32−]
[HCO3*] = [CO2(aq)] + [H2CO3(aq)]
The speciation of DIC is pH controlled, with increasing proportions of CO2(aq) as pH decreases [26]. In most of the water samples, bicarbonate was the main component of DIC, accounting for about more than 90% of DIC.
From Table 1, it is can be seen that the δ13C-DIC of most samples present the similar values with a narrow range of −10.8 to −16.9‰; the mean value was −13.9‰. In contrast, the δ34S−SO42− exhibited large variation, ranging from −15.2‰ to 1.7‰ with the mean value of −4.4‰.

4. Discussion

Carbonate dissolution is important in controlling stream water chemistry, as illustrated by the Ca–HCO3 dominance of our results (Figure 2). High HCO3 and pH are typical for the stream waters that drain carbonate terrain. This is consistent with the geology of the small catchment being dominated by carbonate rocks (CaCO3 and CaMg(CO3)2) [27].

4.1. Seasonal and Spatial Variations of the Solutes

Mean pH values of Banzhai water samples was 7.4, which is consistent with similar to the average pH value (7.8) of the main rivers of Guangxi province in this study area and is consistent with the alkalescency of natural water in carbonate area [28]. It can be seen that the TDS value in wet seasons (summer and fall) is lower than those in dry season (winter and spring) (Table 1). The TDS of groundwater in Banzhai watershed is 25.3% higher than that of surface water. The contents of solutes in the stream has the lowest TDS (192 mg.L−1) in fall, which suggests that local rain events may dilute the contents of solutes in the catchment. Additionally, the highest TDS (235 mg.L−1) suggested that the water is more likely to experience a longer water rock interaction process. This is slightly different from Wujiang river basin in Guizhou karst area, and the main stream of Wujiang river is about 250 km to the north of Banzhai; the TDS of Wujiang river basin in rainy season is slightly higher than that in dry season, and the TDS (237–434 mg.L−1) of the Wujiang is higher than that of Banzhai (192–348 mg.L−1) [29]. This may be due to the relatively low vegetation coverage, more agricultural activities and stronger leaching of carbonate rocks in Wujiang river basin. The population density of Banzhai is about 35 p.km−2, and that of Wujiang river basin is about 260 p.km−2.
The triangles of anions and anions can be used to analyze the chemical composition sources of different end members, and to distinguish the influence of weathering types of rocks on the ion components of water (Figure 2). All the bedrock in the study area is carbonate rock, so the effect of silicate on water solute can be ignored [1]. If CO2 is involved in the weathering of carbonate rocks in the anion triangles, the projection point should be close to HCO3 side; if the carbonate rocks are completely weathered by H2SO4, the projection should be located in the middle of HCO3 and SO42− equivalent lines on the anion triangle [25,27]. In the anion triangle diagram of water in Banzhai watershed (Figure 2), except for the school sample site, the rest of the sites are close to the HCO3 end, indicating that the water of the Banzhai watershed is mainly CO2 involved in the weathering process of carbonate rocks [27,30]. However, the groundwater of the school sample site also deviates to the side of SO42− equivalent line, which indicates that there may be additional SO42− sources in the water flow area; the groundwater outlet of the school site is about 2 m deep from the surface, and the human activities around this site are frequent, so the surface water may polluted by human activities, but it may also be related to the underground lithology of the water flow. The water of the Banzhai watershed can be divided into three types according to the cation triangle diagram. The groundwater of liming and village are the same type, almost all of them are only Ca2+ ions, indicating that limestone weathering is the main process in the stratum where the groundwater flows [31]. The cations in the stream water of Banzhai are Ca2+ + Mg2+ mixed, which indicates that the water may be affected by the weathering of both limestone and dolomite. While the water cation in the school sample site is mainly Ca2+ type, containing part of Na+ and K+, and its SO42− content is much higher than that of other sample sites. Therefore, the water in this site may be mixed with anthropogenic sources (such as fertilizer, domestic wastewater, etc.) [20]. The ion composition characteristics of water in Banzhai watershed are similar to those in the main stream of Beipanjiang river [32], both Beipanjiang river and Banzhai river belong to the Pearl river system, and the main stream of Beipanjiang is 200 km west of Banzhai. The difference is that the content of Na+ + K+ and Cl and SO42− in the water of the Beipanjiang is slightly higher. This may be due to the fact that almost all the solutes in Banzhai water come from the natural weathering of carbonate rocks, although the acid ions in local precipitation may be related to agricultural activities [21].

4.2. Carbon Evolution and Controlling Factor

Chemical weathering of carbonate and silicate is very important for the carbon cycling [16,33]. The main ion in the water of Banzhai watershed is HCO3. In addition to special school site, HCO3 can account for 85.9–93.8% of the total anion equivalent, which is also consistent with the anion characteristics of natural water in most karst area (Figure 2). As the main carrier of dissolved inorganic carbon (DIC), the main sources of HCO3 in the basin may include CO2 dissolved in soil water, HCO3 released from the hydrolysis of carbonate minerals, dissolved HCO3 in atmospheric precipitation, CO2 exchanged into water-by-water air interface and CO2 released by respiration of aquatic plants [7,8,34]. For small-scale basins, water air exchange and CO2 from aquatic plants is relatively low, which can be negligible [7]. The δ13C of CO2 in the atmosphere is about −8.0‰, and the δ13C value in soil is dependent on the vegetation types [22]. The average δ13C value of soil organic matter dominated by C3 plants is −26‰, while that of soil organic matter dominated by C4 plants is −12.0‰ [5], coupled with microbial decomposition of organic matter and carbon isotope fractionation during plant respiration, the average δ13C value of CO2 released by soil respiration is about −27.0‰ [35,36]. The carbonate rocks in this study area belong to marine sediments, and the value of δ13C is generally considered to be 0.0‰ [16].
On the whole, the δ13C values of HCO3 in the Banzhai watershed varied from −16.9 to −10.8‰, with an average of −13.9‰ (Figure 3), which is very close to the δ13C value (−14.00‰) of groundwater DIC formed by carbonate rock dissolved by soil CO2 in the open karst system [30]. This indicates that CO2 released by soil respiration may be an important source of DIC in this catchment [5,37]. However, considering the karst background of carbonate rocks in the study area, the HCO3 in the water may be mixed from multiple sources [38]. The δ13C values of HCO3 in Banzhai watershed were different in different seasons, that is, the δ13C value was lowest in summer (average −15.3‰) but highest in spring (average −12.6‰). This kind of C isotope variation may be related to the biological activities and rainfall in different seasons. In summer, the microbial activity was strengthened, the decomposition rate of soil organic matter was accelerated and more rainwater was also beneficial to dissolution of soil CO2 [24]. This is consistent with the research results in Xijiang stream and another small karst basin with frequent agricultural activities in the same region in Puding [38,39,40]. As shown in Figure 3, there is an obvious negative correlation between the content of HCO3 and its δ13C value in Banzhai watershed [6], that is, δ13C values are decreased with the increase in HCO3 content. This negative correlation may be related to the precipitation and temperature in different seasons. Summer is a rainy season; abundant precipitation makes it easier for HCO3 in the soil to be washed into the stream, so the δ13C value of stream water will be negative [7]; at the same time, the hot and humid environment in summer promotes the dissolution of soil water to carbonate rock and then produces a relatively higher DIC concentration under the unsaturated condition [33]. In winter and spring, the precipitation is less, the biological activity is weak; at this time, DIC in water is more likely to come from the hydrolysis of carbonate rocks, so the δ13C value of DIC will be positive.

4.3. Sulfur Isotope and Controlling Factor

Previous studies suggested that H2SO4 accelerates the chemical weathering process [3,14,15]. Sulfur from different material sources has different sulfur isotopic composition. The natural sources of SO42− in surface water are mainly atmospheric deposition, groundwater, dissolution of sedimentary sulfate, oxidation of sulfide minerals and organic matter [13,17]. In Banzhai catchment, S stable isotope can be considered at the effective tool to distinguish the sources of sulfate ions. According to the conventional analysis and field investigation, the possible end members of sulfate sources in Banzhai basin include: 1. input from dry and wet atmospheric deposition; 2. dissolution of local sulfate minerals; 3. sulfide oxidation in underground coal seams; 4. released by local residents’ activities [18,41,42].
The average SO42− equivalent content of each groundwater and stream water sample site of the Banzhai watershed is in the order of school > liming > village > stream (Table 1). The content of SO42− in the school site is much higher than that of other sampling sites, which indicates that the source of SO42− in school is quite different from that in other sampling sites. The results of δ34S isotope test also showed that the average δ34S isotopic values of the water samples of school and liming were −11.1 and −9.1‰ (Table 1), respectively, which was far lower than that of the village and stream water. It is suggested that the sources of SO42− in water samples may be different. The similar seasonal variation in δ34S isotopic values of the water samples from the other sampling sites were also observed, that is, the δ34S isotopic values in spring were higher than those in other seasons.
The study area belongs to the typical marine monsoon climate, and its atmospheric precipitation is mainly from marine transport, and the δ34S isotopic value in seawater is about +20.0‰ [43]. According to Xiao’s research results in neighboring Guiyang, the averaged δ34S isotopic value of rainwater ranged from −4.9 to +4.6‰ [44]; moreover, the sulfur in the heavy rain with positive δ34S value is more likely to be marine origin. The δ34S values of stream and village water are very close to the rainwater of Guiyang (Figure 4); therefore, SO42− in the water of these sites probably come from the infiltration of atmospheric precipitation and are less affected by other sulfur sources.
The δ34S values in the water of the school and liming sites are relatively negative (−6.2–15.2‰), which are closer to the δ34S of Guizhou coal (−12.5 to −2.5‰) [45]. The δ34S values of school site are more negative, and the corresponding SO42− concentrations are very high, while the SO42− concentrations of liming site are closer to the relatively low concentration of stream water. Generally, the SO42− content in the runoff from rainwater is not too high, and the δ34S value is positive, but if the water is mixed with additional sulfate (most of which are the products of combustion or oxidation of sulfur-containing minerals), the SO42− content will increase, while the δ34S value will be negative. This negative correlation was obvious in all the samples except the school site (Figure 4). The δ34S values of sewage and coal are partly coincident, although the δ34S values of water in the school site are similar to those of coal; the high content of SO42− and the high content of Na+ and K+ suggest that the water is more likely to be mixed with sewage, while the δ34S values of the liming site is also close to that of sewage and coal, but its relatively lower Na+ and K+ value indicates that it is less affected by sewage. The stream and village shows a range of δ34S values similar to the local rainfall, indicating that the sulfur in these waters is more likely to come from precipitation.

4.4. Interaction between Sulfuric Acid and Carbon Isotope of DIC in Water

The effect of NO3 on weathering is limited due to the low content of NO3 (about 2% of the total anion equivalent) in the water of Banzhai watershed, while the observation results of local rainwater show that sulfate is the main cation [20,44]. Therefore, the influence of atmospheric input SO42− on weathering process is mainly considered in this discussion [16,18]. Although the SO42− in most water of Banzhai watershed is also at a low level (<0.5 meq L−1), which indicates that exogenous acid may have little effect on the weathering of carbonate rocks in the Banzhai watershed [27]. However, there is an obvious positive correlation between SO42− and δ13C-DIC (Figure 5), that is, with the increase in SO42− concentrations, the δ13C-DIC values in the water is positive. The more negative the sulfur isotope of sulfate radical is, the more likely it comes from the oxidation of sulfur content in coal. At this time, the carbon isotope value of corresponding DIC is more positive, and these DIC are more likely to come from carbonate rock. Some studies have also confirmed that most of the s in the precipitation in this area comes from the combustion of local coal [45,47,48], this indicates that sulfur in coal may be an important driving force for carbonate rock weathering in the study area. This positive correlation may reveal that the weathering of carbonate rocks in Banzhai is affected by H2SO4. The process of H2SO4 participating in carbonate weathering is as follows:
2(Ca1−xMgx)CO3 + H2SO4→2(1−x)Ca2+ + 2xMg2+ +2HCO3 + SO42−
In this weathering process, 2 mol of HCO3 will be generated by the complete reaction of 1 mol H2SO4, and all the 2 mol HCO3 comes from the reacted carbonate rocks. Therefore, the HCO3 generated during the weathering process of H2SO4 completely retains the carbon isotope characteristic values of carbonate rocks [14,49]. The carbonate rocks in Guizhou karst area belong to marine sediments, and their δ13C values are generally considered to be 0.0‰, while those of biogenic origin are generally lower than −10.0‰ [38,40]. If H2SO4 is involved in the weathering and dissolution of carbonate rocks, the proportion of HCO3 from carbonate rocks will increase, so the δ13C value of DIC in water will gradually be positive to 0.0‰ [50]. In particular, the SO42− content of the school site was significantly higher than that of the other sampling sites, and the δ13C value of DIC was not significantly different from that of other sampling sites, and the correlation between SO42− content and δ13C value of DIC was not obvious (Figure 5). This indicates that the extent of H2SO4 participating in carbonate weathering of this site is consistent with that of other sampling sites. Most of the SO42− in domestic sewage has been neutralized, not directly related to the weathering of carbonate rocks, so there is no correlation between its concentration and C isotope value, the abnormally high content of SO42− in the water of the school site may be caused by the mixing of sewage discharged [51].

5. Conclusions

We have investigated the major concentrations, C isotope compositions and S isotope compositions of stream water in MNNRP, where carbonate rocks occupy the watershed. The water can be mainly characterized as HCO3-Ca type according to the piper diagram. HCO3 is the main species of DIC in the stream. The values of δ13C and δ34S in stream imply that human activities have little direct effect on the water evolution except the school site. Hence, the compositions of δ13C and δ34S in Maolan area represent the composition of the typical stream waters in subtropical karst areas.
The δ13C value of HCO3 in the Banzhai watershed has seasonal variation. The δ13C value in summer (average −15.3‰) is relatively negative, while that in spring (average −12.6‰) is relatively positive. This difference may be related to the biological activity level and rainfall intensity in different seasons. In summer, the biological activity intensity is high, the biogenic soil CO2 acts on the water, forming a more negative δ13C value; the obvious negative correlation between the HCO3 content and the δ13C value is affected by the weathering and leaching intensity under the joint action of temperature and rain.
At the Banzhai small watershed scale, H2SO4 is involved in the weathering of carbonate rocks and affects the δ13C value of DIC. Most of the water shows an obvious positive correlation between SO42− content in water and δ13C value of DIC, that is, with the increase in SO42− content, the proportion of DIC completely derived from carbonate weathering increases, so its δ13C value is relatively positive. When the δ34S in the water reveals that SO42− is more likely to come from the coal, the corresponding δ13C-DIC is closer to the initial value of carbonate rock, which indicates that sulfur in local coal is a driving force that cannot be ignored in the process of carbonate weathering.

Author Contributions

Conceptualization, methodology, software, validation, investigation, resources, writing—Original draft preparation, writing—Review and editing, visualization, supervision, project administration, funding acquisition, Y.T.; formal analysis, data curation, R.H. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Ethical review and approval were waived for this study, due to studies not involving humans or animals.

Informed Consent Statement

This study does not involve humans.

Data Availability Statement

Data is contained within the article.

Acknowledgments

This work was supported jointly by National Natural Science Foundation of China (No. 41325010; 41403109).

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Gaillardet, J.; Dupre, B.; Louvat, P.; Allegre, C.J. Global silicate weathering and co2 consumption rates deduced from the chemistry of large rivers. Chem. Geol. 1999, 159, 3–30. [Google Scholar] [CrossRef]
  2. Berner, R.A.; Kothavala, Z. GEOCARB III: A revised model of atmospheric co2 over phanerozoic time. Am. J. Sci. 2001, 301, 182–204. [Google Scholar] [CrossRef]
  3. Meybeck, M. Global chemical-weathering of surficial rocks estimated from river dissolved loads. Am. J. Sci. 1987, 287, 401–428. [Google Scholar] [CrossRef]
  4. Berner, R.A.; Lasaga, A.C.; Garrels, R.M. The carbonate-silicate geochemical cycle and its effect on atmospheric carbon-dioxide over the past 100 million years. Am. J. Sci. 1983, 283, 641–683. [Google Scholar] [CrossRef]
  5. Amiotte, A.P.; Aubert, D.; Probst, J.L.; Gauthier-Lafaye, F.; Probst, A.; Andreux, F.; Viville, D. Δ13c pattern of dissolved in-organic carbon in a small granitic catchment: The strengbach case study (Vosges mountains, France). Chem. Geol. 1999, 159, 129–145. [Google Scholar] [CrossRef] [Green Version]
  6. Aucour, A.M.; Sheppard, S.M.F.; Guyomar, O.; Wattelet, J. Use of δ13c to trace origin and cycling of inorganic carbon in the Rhône river system. Chem. Geol. 1999, 159, 87–105. [Google Scholar] [CrossRef]
  7. Telmer, K.; Veizer, J. Carbon fluxes, pco2 and substrate weathering in a large northern river basin, Canada: Carbon isotope perspectives. Chem. Geol. 1999, 159, 61–86. [Google Scholar] [CrossRef]
  8. Helie, J.F.; Hillaire-Marcel, C.; Rondeau, B. Seasonal changes in the sources and fluxes of dissolved inorganic carbon through the st. Lawrence river—Isotopic and chemical constraint. Chem. Geol. 2002, 186, 117–138. [Google Scholar] [CrossRef]
  9. Hitchon, B.; Krouse, H.R. Hydrogeochemistry of the surface waters of the Mackenzie river drainage basin, Canada—III. Stable isotopes of oxygen, carbon and sulphur. Geochim. Cosmochim. Acta 1972, 36, 1337–1357. [Google Scholar] [CrossRef]
  10. Regnier, P.; Friedlingstein, P.; Ciais, P.; Mackenzie, F.T.; Gruber, N.; Janssens, I.A.; Laruelle, G.G.; Lauerwald, R.; Luyssaert, S.; Andersson, A.J.; et al. Anthropogenic perturbation of the carbon fluxes from land to ocean. Nat. Geosci. 2013, 6, 597–607. [Google Scholar] [CrossRef]
  11. Ghezzi, L.; Iaccarino, S.; Carosi, R.; Montomoli, C.; Simonetti, M.; Paudyal, K.R.; Cidu, R.; Petrini, R. Water quality and solute sources in the Marsyangdi river system of higher Himalayan range (West-central Nepal). Sci. Total Environ. 2019, 677, 580–589. [Google Scholar] [CrossRef] [PubMed]
  12. Burns, D.A.; Aherne, J.; Gay, D.A.; Lehmann, C.M.B. Acid rain and its environmental effects: Recent scientific advances preface. Atmos. Environ. 2016, 146, 1–4. [Google Scholar] [CrossRef] [Green Version]
  13. Calmels, D.; Gaillardet, J.; Brenot, A.; France-Lanord, C. Sustained sulfide oxidation by physical ersion processes in the Mackenzie river basion: Climatic perpectives. Geology 2007, 35, 1003–1006. [Google Scholar] [CrossRef]
  14. Spence, J.; Telmer, K. The role of sulfur in chemical weathering and atmospheric co2 fluxes: Evidence from major ions, d13cdic, and d34sso4 in rivers of the Canadian cordillera. Geochim. Cosmochim. Acta 2005, 69, 5441–5458. [Google Scholar] [CrossRef]
  15. Liu, J.; Han, G. Major ions and delta(34)sso4 in Jiulongjiang river water: Investigating the relationships between natural chemical weathering and human perturbations. Sci. Total Environ. 2020, 724, 138208. [Google Scholar] [CrossRef] [PubMed]
  16. Li, S.L.; Calmels, D.; Han, G.; Gaillardet, J.; Liu, C.Q. Sulfuric acid as an agent of carbonate weathering constrained by delta c-13(dic): Examples from Southwest China. Earth Planet. Sci. Lett. 2008, 270, 189–199. [Google Scholar] [CrossRef]
  17. Karim, A.; Veizer, J. Weathering processes in the indus river basin: Implications from riverine carbon, sulfur, oxygen, and strontium isotopes. Chem. Geol. 2000, 170, 153–177. [Google Scholar] [CrossRef]
  18. Han, G.L.; Tang, Y.; Wu, Q.X.; Liu, M.; Wang, Z.R. Assessing contamination sources by using sulfur and oxygen isotopes of sulfate ions in Xijiang river basin, Southwest China. J. Environ. Qual. 2019, 48, 1507–1516. [Google Scholar] [CrossRef]
  19. Wang, K.L.; Zhang, C.H.; Chen, H.S.; Yue, Y.M.; Zhang, W.; Zhang, M.Y.; Qi, X.K.; Fu, Z.Y. Karst landscapes of China: Patterns, ecosystem processes and services. Landsc. Ecol. 2019, 34, 2743–2763. [Google Scholar] [CrossRef] [Green Version]
  20. Han, G.L.; Tang, Y.; Wu, Q.X.; Tan, Q. Chemical and strontium isotope characterization of rainwater in karst virgin forest, Southwest China. Atmos. Environ. 2010, 44, 174–181. [Google Scholar] [CrossRef]
  21. Zeng, J.; Han, G.L.; Wu, Q.X.; Tang, Y. Effects of agricultural alkaline substances on reducing the rainwater acidification: Insight from chemical compositions and calcium isotopes in a karst forests area. Agric. Ecosyst. Environ. 2020, 290, 106782. [Google Scholar] [CrossRef]
  22. Han, G.L.; Li, F.S.; Tang, Y. Variations in soil organic carbon contents and isotopic compositions under different land uses in a typical karst area in Southwest China. Geochem. J. 2015, 49, 63–71. [Google Scholar] [CrossRef] [Green Version]
  23. Tang, Y.; Han, G. Characteristics of major elements and heavy metals in atmospheric dust in Beijing, China. J. Geochem. Explor. 2017, 176, 114–119. [Google Scholar] [CrossRef]
  24. Atekwana, E.A.; Krishnamurthy, R.V. Seasonal variations of dissolved inorganic carbon and δ13c of surfacewaters: Application of a modified gas evolution technique. J. Hydrol. 1998, 205, 265–278. [Google Scholar] [CrossRef]
  25. Gaillardet, J.; Dupre, B.; Allegre, C.J.; Negrel, P. Chemical and physical denudation in the Amazon river basin. Chem. Geol. 1997, 142, 141–173. [Google Scholar] [CrossRef]
  26. Stumm, W.; Morgan, J.J. Aquatic Chemistry: Chemical Equilibria and Rates in Natural Waters, 3rd ed.; John Wiley & Sons: Hoboken, NJ, USA, 1996. [Google Scholar]
  27. Han, G.L.; Liu, C.Q. Water geochemistry controlled by carbonate dissolution: A study of the river waters draining karst-dominated terrain, Guizhou province, China. Chem. Geol. 2004, 204, 1–21. [Google Scholar] [CrossRef]
  28. Jiang, H.; Li, W.J.; Zhao, T.; Sun, H.G.; Xu, Z.F. Water geochemistry of rivers draining karst-dominated regions, Guangxi province, South China: Implications for chemical weathering and role of sulfuric acid. J. Asian Earth Sci. 2018, 163, 152–162. [Google Scholar] [CrossRef]
  29. Han, G.L.; Li, F.S.; Tan, Q. Effects of land use on water chemistry in a river draining karst terrain, Southwest China. Hydrol. Sci. J. 2014, 59, 1063–1073. [Google Scholar] [CrossRef] [Green Version]
  30. Huang, Q.B.; Qin, X.Q.; Liu, P.Y.; Zhang, L.K.; Su, C.T. Influence of sulfuric acid to karst hydrochemical and δ13cdic in the upper and middle reaches of the Wujiang river. Huanjing Kexue 2015, 36, 3220–3229. [Google Scholar]
  31. Han, G.L.; Song, Z.L.; Tang, Y.; Wu, Q.X.; Wang, Z.R. Ca and sr isotope compositions of rainwater from Guiyang city, Southwest China: Implication for the sources of atmospheric aerosols and their seasonal variations. Atmos. Environ. 2019, 214, 116854. [Google Scholar] [CrossRef]
  32. Wu, Q.; Han, G.; Li, F.; Tang, Y. Characteristic and source analysis of major ions in Nanpanjiang and Beipanjiang at the upper Pearl river during the wet season. Environ. Chem. 2015, 34, 1289–1296. [Google Scholar]
  33. Millot, R.; Gaillardet, J.; Dupre, B.; Allegre, C.J. The global control of silicate weathering rates and the coupling with physical erosion: New insights from rivers of the Canadian shield. Earth Planet. Sci. Lett. 2002, 196, 83–98. [Google Scholar] [CrossRef]
  34. Li, S.L.; Liu, C.Q.; Tao, F.X.; Lang, Y.C.; Han, G.L. Chemical and stable carbon isotopic compositions of the ground waters of Guiyang city, China: Implications for biogeochemical cycle of carbon and contamination. Geochimica 2004, 87, 375–381. [Google Scholar]
  35. Cerling, T.E.; Harris, J.M.; MacFadden, B.J.; Leakey, M.G.; Quade, J.; Eisenmann, V.; Ehleringer, J.R. Global vegetation change through the miocene/pliocene boundary. Nature 1997, 389, 153–158. [Google Scholar] [CrossRef]
  36. Han, G.L.; Tang, Y.; Liu, M.; Van Zwieten, L.; Yang, X.M.; Yu, C.X.; Wang, H.L.; Song, Z.L. Carbon-nitrogen isotope coupling of soil organic matter in a karst region under land use change, Southwest China. Agric. Ecosyst. Environ. 2020, 301, 107027. [Google Scholar] [CrossRef]
  37. Liu, T.Z.; Liu, C.Q.; Lang, Y.C.; Ding, H. Dissolved organic carbon and its carbon isotope compositions in hill slope soils of the karst area of Southwest China: Implications for carbon dynamics in limestone soil. Geochem. J. 2014, 48, 277–285. [Google Scholar] [CrossRef] [Green Version]
  38. Zhao, M.; Liu, Z.H.; Li, H.C.; Zeng, C.; Yang, R.; Chen, B.; Yan, H. Response of dissolved inorganic carbon (dic) and delta c-13(dic) to changes in climate and land cover in Southwest China karst catchments. Geochim. Cosmochim. Acta 2015, 165, 123–136. [Google Scholar] [CrossRef]
  39. Jiao, S.L.; Tao, Z.; Gao, Q.Z.; Liu, K.; She, J.W.; Ding, J.; Liu, Z.F. Stable isotopic composition of riverine dissolved inorganic carbon of the Xijiang river inner estuary. J. Geogr. Sci. 2008, 18, 363–372. [Google Scholar] [CrossRef]
  40. Li, S.L.; Liu, C.Q.; Li, J.; Lang, Y.C.; Ding, H.; Li, L.B. Geochemistry of dissolved inorganic carbon and carbonate weathering in a small typical karstic catchment of Southwest China: Isotopic and chemical constraints. Chem. Geol. 2010, 277, 301–309. [Google Scholar] [CrossRef]
  41. Li, X.D.; Liu, C.Q.; Liu, X.L.; Bao, L.R. Identification of dissolved sulfate sources and the role of sulfuric acid in carbonate weahtering using dual-isotopic data from the Jialing river, Southwest China. J. Asian Earth Sci. 2011, 42, 370–380. [Google Scholar] [CrossRef]
  42. Tang, Y.; Han, G.L.; Wu, Q.X.; Xu, Z.F. Use of rare earth element patterns to trace the provenance of the atmospheric dust near Beijing, China. Environ. Earth Sci. 2013, 68, 871–879. [Google Scholar] [CrossRef]
  43. Strauss, H. Geological evolution from isotope proxy signals—Sulfur. Chem. Geol. 1999, 161, 89–101. [Google Scholar] [CrossRef]
  44. Xiao, H.Y.; Liu, C.Q. Sources of nitrogen and sulfur in wet deposition at Guiyang, Southwest China. Atmos. Environ. 2002, 36, 5121–5130. [Google Scholar] [CrossRef]
  45. Ding, H.; Lang, Y.C.; Liu, C.Q.; Liu, T.Z. Chemical characteristics and delta s-34-so42- of acid rain: Anthropogenic sulfate deposition and its impacts on co2 consumption in the rural karst area of Southwest China. Geochem. J. 2013, 47, 625–638. [Google Scholar] [CrossRef] [Green Version]
  46. Liu, C.Q.; Lang, Y.C.; Satake, H.; Wu, J.H.; Li, S.L. Identification of anthropogenic and natural inputs of sulfate and chloride into the karstic ground water of Guiyang, Southwest China: Combined delta cl-37 and delta s-34 approach. Environ. Sci. Technol. 2008, 42, 5421–5427. [Google Scholar] [CrossRef]
  47. Han, G.L.; Wu, Q.X.; Tang, Y. Acid rain and alkalization in Southwestern China: Chemical and strontium isotope evidence in rainwater from Guiyang. J. Atmos. Chem. 2011, 68, 139–155. [Google Scholar] [CrossRef]
  48. Larssen, T.; Lydersen, E.; Tang, D.G.; He, Y.; Gao, J.X.; Liu, H.Y.; Duan, L.; Seip, H.M.; Vogt, R.D.; Mulder, J.; et al. Acid rain in China. Environ. Sci. Technol. 2006, 40, 418–425. [Google Scholar] [CrossRef] [Green Version]
  49. Lerman, A.; Wu, L.L.; Mackenzie, F.T. Co2 and h2so4 consumption in weathering and material transport to the ocean, and their role in the global carbon balance. Mar. Chem. 2007, 106, 326–350. [Google Scholar] [CrossRef]
  50. Huang, Q.B.; Qin, X.Q.; Yang, Q.Y.; Liu, P.Y.; Zhang, J.S. Identification of dissolved sulfate sources and the role of sulfuric acid in carbonate weathering using delta c-13(dic) and delta s-34 in karst area, Northern China. Environ. Earth Sci. 2016, 75, 51. [Google Scholar]
  51. Han, G.L.; Tang, Y.; Xu, Z.F. Fluvial geochemistry of rivers draining karst terrain in Southwest China. J. Asian Earth Sci. 2010, 38, 65–75. [Google Scholar] [CrossRef]
Figure 1. Sketch map showing the geology and land use of study area.
Figure 1. Sketch map showing the geology and land use of study area.
Water 13 00523 g001
Figure 2. Piper diagrams showing chemical composition of major cations and anions in water of Banzhai.
Figure 2. Piper diagrams showing chemical composition of major cations and anions in water of Banzhai.
Water 13 00523 g002
Figure 3. Effect of HCO3 content on the δ13C value in Banzhai water, the three main− potential sources of DIC are carbonate rock [16], atmosphere [22] and soil [35].
Figure 3. Effect of HCO3 content on the δ13C value in Banzhai water, the three main− potential sources of DIC are carbonate rock [16], atmosphere [22] and soil [35].
Water 13 00523 g003
Figure 4. Relationship between δ34S isotopic values and H2SO4 content in Banzhai water sample, the sulfur sources of the study area may be precipitation [44], coal [45], sewage [46] and seawater.
Figure 4. Relationship between δ34S isotopic values and H2SO4 content in Banzhai water sample, the sulfur sources of the study area may be precipitation [44], coal [45], sewage [46] and seawater.
Water 13 00523 g004
Figure 5. The variation trend of SO42− and δ13C−DIC after H2SO4 participates in carbonate rock weathering process.
Figure 5. The variation trend of SO42− and δ13C−DIC after H2SO4 participates in carbonate rock weathering process.
Water 13 00523 g005
Table 1. Hydro-chemical composition and δ13C-DIC and δ34S-SO42− ratios of water in Banzhai watershed.
Table 1. Hydro-chemical composition and δ13C-DIC and δ34S-SO42− ratios of water in Banzhai watershed.
TemppHECTDSHCO3ClNO3SO42−Na+k+Mg2+Ca2+δ13Cδ34S
SiteSeason°C μS.cm−2mg.L−1meq.L−1meq.L−1meq.L−1meq.L−1meq.L−1meq.L−1meq.L−1meq.L−1
UpSpr.15.88.135012353.280.040.100.240.020.011.172.66−14.83 −1.50
UpSum.21.97.524962333.820.020.070.180.020.011.192.77−14.99 1.20
UpFal.20.97.784562143.400.040.090.200.020.021.352.15−16.87 −0.78
UpWin.17.37.694872293.790.040.100.210.030.021.382.89−15.42 −1.01
MidSpr.13.77.714662193.390.040.100.260.020.011.132.43−13.13 −2.17
MidSum.22.17.464512123.580.020.070.170.020.011.142.78−15.00 −0.56
MidFal.22.68.024091923.360.040.060.210.020.021.332.45−13.68 −1.01
MidWin.13.27.954231993.970.040.070.230.030.021.332.72−13.13 −2.13
DownSpr.15.37.364862283.44 0.060.060.360.050.020.982.78−12.30 −3.63
DownSum.22.86.984792253.770.020.060.200.020.010.992.94−14.91 −1.72
DownFal.22.67.744171963.580.050.030.230.030.021.282.68−14.01 −1.78
DownWin.12.87.254382063.510.050.020.300.050.021.212.70−12.04 −2.29
schoolSpr.12.76.657403483.880.400.332.040.460.240.595.18−10.80 −11.83
schoolSum.22.37.116953273.700.130.131.650.160.100.405.16−14.51 −15.21
schoolFal.22.16.876383003.310.310.171.520.450.180.554.00−12.84 −6.22
schoolWin.12.67.037233404.620.310.171.520.560.200.625.36−11.07 −11.23
limingSpr.14.87.345092393.390.040.080.430.100.020.323.40−13.73 −9.92
limingSum.21.97.195422553.960.030.040.280.030.020.334.06−16.11 −6.97
limingFal.20.47.414512124.030.020.030.380.040.010.423.87−14.87 −8.98
limingWin.16.97.255212453.760.030.050.460.060.020.423.65−13.42 −10.61
villageSpr.16.17.355632652.850.050.050.370.020.010.372.83−12.32 −3.88
villageSum.22.47.175252474.400.030.030.230.030.000.514.03−16.16 1.70
villageFal.21.57.125112403.780.030.120.240.040.000.593.68−13.96 −1.35
villageWin.15.97.084852283.990.030.120.320.020.000.603.74−14.05 −2.62
EC: Electrical conductivity; TDS: Total dissolved solids.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Tang, Y.; Han, R. Stable Carbon and Sulfur Isotope Characteristics of Stream Water in a Typical Karst Small Catchment, Southwest China. Water 2021, 13, 523. https://doi.org/10.3390/w13040523

AMA Style

Tang Y, Han R. Stable Carbon and Sulfur Isotope Characteristics of Stream Water in a Typical Karst Small Catchment, Southwest China. Water. 2021; 13(4):523. https://doi.org/10.3390/w13040523

Chicago/Turabian Style

Tang, Yang, and Ruiyin Han. 2021. "Stable Carbon and Sulfur Isotope Characteristics of Stream Water in a Typical Karst Small Catchment, Southwest China" Water 13, no. 4: 523. https://doi.org/10.3390/w13040523

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