With mine drainage and activities, the hydrogeochemical environments has greatly changed in Kongjiagou coalmine, Sichuan Province, southwest China. This study aimed to summarize an ideal model of coalmine hydrogeochemical zonation and evolution. In total, 24 groundwater samples from different depth were collected to analyze their components, with the combination of methods such as ion sources, normalization index, ions ratios, cation exchange and inverse modeling. The hydrogeochemical formation main factor was water–rock reactions and more weathering by sulfuric acid. Dissolution and pyrite oxidation were the main sources of , whereas carbonate weathering was the dominant source of . The vertical extent could be distinguished to three zones by mean and standard deviation of burial depth. The normalization index, ions ratios, cation exchange and water types exhibited clear vertical zonation. In shallow groundwater, dissolution led to a Ca- type water and overall stable concentrations of ions. Redox reactions in the middle region have caused significant increases in the total dissolved solids (TDS) and and a considerable reduction in pH; hence, Ca + Mg-SO4 + HCO3 became the dominant type. Re-dissolution and cation exchange played important roles at depth and caused the pH and TDS to increase slowly. The , Ca2+, and Mg2+ concentrations increased rapidly, whereas the concentration remained basically unchanged, and the water type was either Ca + Mg-HCO3 + SO4 or Na-HCO3 + SO4. This study will be of great significance to coalmine safety production and water environments protection.

  • Distinguished vertical zonation based on mean and standard deviation of burial depth.

  • Introduced ions normalization index for hydrogeochemical analysis.

  • PHREEQC was used to calculate the amount transferred from shallow to deep.

  • The main reactions from shallow to deep were dissolution, redox, re-dissolution and cation exchange.

  • Summarized an ideal vertical zoning model and mechanism of coal mine hydrogeochemically.

Graphical Abstract

Graphical Abstract

In recent years, an increased depth of coal mining in China has resulted in an annual decline in groundwater levels and an increased risk of water-inrush disasters (Huang & Han 2016). Coal mining may affect the spatial and temporal evolution of groundwater, mainly due to the drainage of the aquifer, which reduces the available groundwater resources and alleviates the risk of water inrush (Wu et al. 2014), resulting an a cone of depression, changing the original groundwater flow system and even making a vertical flow system (Xu et al. 2018), and influenced hydrogeochemistry evolution. Qiao reported that the gradual increase in Na+ and decrease in Ca2+ concentration were the actions of cation exchange (Qiao et al. 2019). Li found that mine activities increased water solute concentration and changed hydrochemical types (Li et al. 2018). Mayo identified mine drainage chemical reaction pathways including pyrite oxidation, dissolution–precipitation, and ion exchange (Mayo et al. 2000).The oxidizing surface-water infiltration into an anoxic coalmine groundwater system led to a change in the original chemical condition and composition, and some led to the formation of acid mine drainage (AMD) (Akcil & Koldas 2006). So the groundwater of coalmines may be influenced by AMD, and generally characterized by a low pH, high total dissolved solids (TDS), and high hardness, as well as numerous heavy metal elements in some areas (Simate & Ndlovu 2014). Therefore, before environmental protection or treatment uptake, it is essential to investigate coalmine hydrogeochemistry characteristics, and study how vertical zonation formation and evolution occurs.

The groundwater system in coalmine areas is characterized by the specific geology environment, aquifer type, and groundwater circulation. Sandstone aquifers are commonly assumed to be porous media (Medici et al. 2016). But in T3xj formation, fracture distribution is highly heterogeneous. There is bedding-plane fracture, structure fracture, tensile fracture, and mining fracture. Such aquifers provided preferential pathways for groundwater. The coal mining activity changed the groundwater media and circle (Prathap & Chakraborty 2019). Vertically, fractures are generally developed towards the goaf (Wang et al. 2017).

Rock weathering, mineral dissolution, cation-exchange, and anthropogenic activities were the primary processes governing the hydrogeochemical characteristics of the aquifer (Shishaye et al. 2020). The redox reaction of pyrite is a crucial reaction for the chemistry of coalmine (Acharya & Kharel 2020). The ion ratios in groundwater can represent the different hydro-geochemistry process, if the end members of different process can be distinguished, it will be simple to identified the main water–rock reaction (Stumm & Morgan 2012; Fetter 2018). Normalization prevent different units or abundance makes peaks or valleys in a distribution and to ensure that data will be the same graphically (Baird et al. 2017). N-score, Kaiser, Min–Max was the most used method in hydrogeochemistry characteristics assessment and quality evaluation (Tay et al. 2017; Karami et al. 2018). Geochemical heterogeneities in subsurface formations is often a leading factor controlling the chemistry of groundwater (Battistel et al. 2019). Previous studies have shown that groundwater chemistry can reflect water–rock interaction and often identified by PHREEQC (Christofi et al. 2020).

The main aspects studying the zonation characteristics of groundwater include the hydrogeological setting, hydrochemical and isotopic characteristics, ionic components, redox conditions or redox-sensitive elements (Fe2+, , /Cl), mathematical statistics, and chemical simulation (Chidambaram et al. 2013; Chen et al. 2014; Jia et al. 2014; Lghoul et al. 2014; Peng et al. 2015). A hydrochemical simulation programs, such as PHREEQC, Geochemist's Workbench, MINTEQ were widely used in mineral phase transfer calculations and hydrochemical evolution mode analysis (e.g., for pore water, fractured water, and geothermal water) (Huan et al. 2011; Zhou et al. 2012; Jia et al. 2016), because they can solve element migration in groundwater and water–rock interactions (Teng et al. 2010). Some scholars have performed chemical simulations of deep groundwater circulation characteristics (Kebede et al. 2005).

Regionally, the chemical characteristics of groundwater exhibit both horizontal and vertical changes due to aquifer lithology, climate, and the seepage path length (Fetter 2018). Schoeller divided groundwater chemical zones into geological zones, vertical zones, and climatic zones. Geological zones correspond to the different mineral compositions of the aquifer media (Schoeller 1960). Gascoyne found that the geochemical evolution of groundwater presented similar trends with increased depth and with variations in the hydraulic gradient regardless of rock type (Gascoyne & Kamineni 1994). However, due to the complex groundwater system, sampling difficulty, and lack of significant chemical component changes, few studies have investigated the vertical zoning characteristics and evolution model of groundwater in coalmining areas.

Taking the Kongjiagou coalmine in Dazhu County as a research object, this study investigated the local vertical zoning characteristics and evolution model of the groundwater chemistry by determination of the hydrochemical characteristics, ion sources, and ratios of main ions, and the use of hydrochemical inverse simulation. The determination of the corresponding hydrogeochemical reactions in the coalmine vertical zone, especially the case in complex systems involving fractured-rock groundwater flow, plays a vital role in water resource management and protection (Tweed et al. 2005).

Geography and geological setting

The Kongjiagou coalmine (107°21′48.29″E, 30°44′25.89″N) is located in Dazhu County, Sichuan Province, China. The mining area is ∼6,376 m long and 535 m wide and covers an area of 3.411 km2. The inclined shaft-footrill combined exploitation method is used in the mine, with a mining elevation from 0 m to 350 m. The coal seams K11 and K9 in T3xj7 and K6 in T3xj5 are mined, and the total sulfur content (St, d) of the coal dry base is approximately 0.56%.

The study area is within the subtropical monsoon climate zone and has an annual average temperature of 18 °C and annual average precipitation of 1,245.7 mm, whereby >60% of precipitation falls between May and September. There are four perennial flowing gullies in the study area: Xiaojiagou, Laohegou, Luanshijiaogou, and Kongjiagou. These are developed in the east–west direction from the south to the north, and all are tributaries of the Jialing River.

The study area is located in the monoclinal structure of the eastern wing in the northern part of the Tongluo Mountain (Zhongshan) anticline. The strata related to coal mining and water inrush are within the Lower Jurassic Zhenzhuchong Formation (J1zh), which is mainly composed of mudstone and silty mudstone, with layers of sandstone and coal-bearing lines in the lower part. The Upper Triassic Xujiahe Formation (T3xj) is characterized by sandstone, with layers of shale and coal seams. The 1st, 3rd, 5th, and 7th members of T3xj are coal-bearing, and dominated by mudstone, interbed with thin layers of sandstone. while the 2nd, 4th, and 6th members are predominantly white and gray sandstone. The 6th and 7th members of T3xj has mudstone, siderite, and coal enclosure, or lot of black siliceous rock debris. The Xujiahe sandstone main diagenetic processes were mechanical compaction, quartz cementation, carbonate cementation, authigenic clay mineralization, and dissolution (Liu et al. 2018). Calcareous cementation was the main rock-forming mineral of clastic rock. and the calcareous cementation was mainly consisting of carbonates, anhydrite, and fluorite (Tan et al. 2016). So, minerals in the surround rocks are dominated by calcite, dolomite, quartz, and kaolinite, and illite, followed by gypsum, anhydrite, siderite, and sulfide. The rock inclination direction is 101–116°, and the dip angle is 31–57°, with a steep slope zone in the north and a gentle slope zone in the south (Figures 1 and 2).

Figure 1

General hydrogeological map and locations of samples.

Figure 1

General hydrogeological map and locations of samples.

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Figure 2

Hydrogeological cross-section of the study area.

Figure 2

Hydrogeological cross-section of the study area.

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Hydrogeological setting

The primary groundwater type in the study area is fractured water. The sandstone in the second, fourth, and sixth members of the Xujiahe and Zhenzhuchong formations comprise the principal aquifers; they were recognized as possessing possibly two porosities: matrix and fracture porosity. While the shale and mudstone in the first, third, fifth, and seventh members of the Xujiahe and Zhenzhuchong formations act as aquicludes. the regional groundwater movement was controlled by the tectonic feature, from west to east, shallow to depth.

According to the local empirical formula, the maximum height of the water flowing fractured zone in K11/K9 coal seams is 83.3 m and in K6 is 67.2 m (Figure 3). Under the influence of the goaf and water flowing fractured zone, an aquifer with a uniform hydraulic relation is formed in the fifth, sixth, and seventh members of the Xujiahe and Zhenzhuchong formations. Under the combined action of gravity and mine drainage activities, the groundwater moves along the monoclinal strata to depth following rainfall recharge and forms rapid infiltration channels at water-conducting cracks or a semi-closed water storage within the goaf. Where the aquifer is exposed at the roadway, groundwater is discharged to the surface through drainage facilities. The normal water inflow of the mine is approximately 230.19 m3/h, with a maximum of 1,080.24 m3/h.

Figure 3

The maximum height of the water flowing fractured zone.

Figure 3

The maximum height of the water flowing fractured zone.

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A total of 24 representative coalmine groundwater samples from different depths was collected on May 1–2, 2020. The sample locations are shown in Figures 1 and 2. Groundwater sampling and storing were carried as per the methods of the International Organization for Standardization (ISO). All samples were collected in clean polyethylene bottles, which were pre-rinsed two to three times with sample water to avoid the influence of impurities. Samples were then transported in a shaded box and stored at 4 °C before chemical analyses. Physical parameters such as color, taste, and odor were determined and recorded in the field. The pH of each sample was measured in situ using a portable AP-700 multi-parameter meter (Aquaread), which was calibrated before sampling. The pH was recorded within 5 min of obtaining a stable reading. The sampling position was measured by compass and measuring tape according to the downhole traverse survey point.

The hydrogeochemical parameters that were analyzed (Table 1) included pH, TDS, total hardness (TH), major cations (Na+, K+, Ca2+, and Mg2+), and major anions (Cl, , and ). All analyses were conducted in accordance with the groundwater quality inspection method (DZ/T 0064.1-0064.80-93) at the Environmental Engineering Center of Sichuan Geological Engineering Investigation Institute. The concentrations of Ca2+ and Mg2+ were determined by the EDTA titration method, The concentration of Na+ + K+ was analyzed by inductively coupled plasma optical emission spectroscopy (ICP-OES), was measured by titration, Cl and were determined by ion chromatography (IC) (Metrohm 883, Switzerland), and TDS was measured using the drying method (at 105 °C). The total hardness (TH) was calculated from the calcium and magnesium ion concentrations by Equation (1). The analytical errors were evaluated by the anion–cation concentration balance (Equation (2)), and all analytical errors were <5%:
(1)
(2)
where is the weight per volume concentration unit (mg/L), , , , and are the cation, anion, Ca2+, and Mg2+ equivalent weight units (mEq/L), respectively. TH is CaCO3 (mg/L), and E (%) is the relative error of the anion-cation concentration balance.
Table 1

Chemical indices of groundwater in the coalmine water samples

No.pHTHTDSρ/mg·L−1
Pco2AEElv.DepthCAI-ICAI-IIWater typeExposed StrataZone
mg·L−1mg·L−1Ca2+Mg2+Na+ + K+Cl/atm/%mmmEq/LmEq/L
SY01 7.20 283.33 353.56 80.56 20.01 1.50 0.35 205.30 91.68 10−3.16 0.53 665 223 −5.08 −0.01 CM-SH T3xj7 II 
SY02 6.70 235.21 284.77 66.13 17.02 1.25 0.35 151.20 97.63 10−2.81 0.08 473 32 −4.06 −0.01 CM-SH T3xj7 
SY03 7.80 208.54 637.48 41.12 25.75 156.21 0.35 256.99 314.12 10−2.40 0.43 605 544 −631.93 −0.59 N-SH T3xj6 III 
SY04 7.90 135.12 655.88 38.08 9.73 192.25 2.84 269.60 286.78 10−2.14 0.01 610 550 −95.13 −0.74 N-SH T3xj6 III 
SY05 7.90 100.09 1,041.04 20.04 12.16 371.50 16.31 331.20 579.66 10−1.83 0.01 626 565 −31.30 −0.88 N-HS T3xj6 III 
SY06 7.90 205.18 846.33 50.10 19.45 245.75 4.25 288.80 475.93 10−1.60 0.01 650 490 −80.92 −0.70 N-HS T3xj7 III 
SY07 7.60 1,131.02 1,718.09 314.63 83.90 111.50 1.42 1,048.00 317.29 10−1.19 0.01 671 510 −110.50 −0.16 CM-S T3xj7 III 
SY08 7.00 515.46 970.56 146.29 36.48 129.00 0.35 512.00 292.88 10−1.57 0.03 627 395 −521.68 −0.33 CN-SH T3xj7 III 
SY09 7.00 245.22 847.34 62.12 21.89 204.00 0.35 440.00 237.97 10−2.11 0.04 550 317 −825.56 −0.62 N-SH T3xj7 II 
SY10 7.30 440.40 534.18 124.25 31.61 0.25 0.35 298.40 158.64 10−2.15 0.07 542 309 −0.01 0.00 CM-SH T3xj7 II 
SY11 7.70 285.26 330.08 76.15 23.10 0.75 0.35 150.40 158.64 10−2.34 0.09 651 420 −2.04 0.00 CM-SH T3xj7 III 
SY12 7.20 790.71 1,005.30 226.45 54.72 9.00 0.35 608.00 213.56 10−1.66 0.02 645 203 −35.47 −0.02 CM-S J1zh II 
SY13 7.10 230.21 277.94 60.12 19.45 0.50 0.35 154.80 85.42 10−2.97 0.13 623 183 −1.03 0.00 CM-SH J1zh II 
SY14 7.00 205.18 237.91 44.09 23.10 3.50 0.35 102.80 128.14 10−2.75 0.11 557 60 −13.18 −0.03 CM-SH J1zh 
SY15 7.90 345.54 1,155.54 80.58 35.12 275.36 1.54 600.12 325.64 10−2.10 0.14 605 542 −252.57 −0.62 N-SH T3xj6 III 
SY16 7.70 315.16 939.06 101.35 15.14 220.12 0.35 389.42 425.36 10−1.76 0.06 505 441 −890.88 −0.58 NC-SH T3xj6 III 
SY17 7.60 544.11 1,116.24 120.54 59.15 198.52 3.45 452.71 563.74 10−1.45 0.16 565 411 −80.60 −0.42 NCM-SH T3xj7 III 
SY18 7.60 519.16 1,040.69 178.05 18.21 172.26 0.35 389.53 564.58 10−1.28 0.29 490 336 −696.96 −0.40 CN-HS T3xj7 III 
SY19 7.70 280.11 896.47 96.85 9.35 208.34 2.56 418.31 322.12 10−2.02 0.45 725 480 −114.41 −0.59 NC-SH T3xj7 III 
SY20 7.10 479.29 611.91 138.95 32.23 7.10 0.35 354.10 158.35 10−2.48 0.54 610 177 −27.77 −0.03 CM-SH J1zh II 
SY21 7.20 545.08 706.84 120.25 59.56 20.15 0.35 421.90 169.25 10−2.49 0.60 670 236 −80.64 −0.07 CM-S J1zh II 
SY22 7.00 406.17 511.90 112.58 30.45 12.55 0.35 260.80 190.33 10−2.40 0.38 650 215 −49.85 −0.06 CM-SH J1zh II 
SY23 7.30 200.74 235.35 55.31 15.25 1.15 0.35 112.50 101.58 10−3.22 0.54 525 89 −3.66 −0.01 CM-SH J1zh 
SY24 7.10 229.76 271.93 60.51 19.15 1.58 0.75 133.50 112.87 10−3.09 0.08 545 107 −1.99 −0.01 CM-SH J1zh 
Max 7.90 1,131.02 1,718.09 314.63 83.90 371.50 16.31 1,048.00 579.66 10−1.19 0.60  565.00      
Min 6.70 100.09 235.35 20.04 9.35 0.25 0.35 102.80 85.42 10−3.22 0.01  32.00      
Mean 7.40 369.84 717.77 100.63 28.83 106.00 1.61 347.93 265.51 10−2.21 0.20  326.46      
SD 0.36 225.01 367.65 65.11 18.03 111.48 3.26 204.81 154.45 100.58 0.20  167.16      
No.pHTHTDSρ/mg·L−1
Pco2AEElv.DepthCAI-ICAI-IIWater typeExposed StrataZone
mg·L−1mg·L−1Ca2+Mg2+Na+ + K+Cl/atm/%mmmEq/LmEq/L
SY01 7.20 283.33 353.56 80.56 20.01 1.50 0.35 205.30 91.68 10−3.16 0.53 665 223 −5.08 −0.01 CM-SH T3xj7 II 
SY02 6.70 235.21 284.77 66.13 17.02 1.25 0.35 151.20 97.63 10−2.81 0.08 473 32 −4.06 −0.01 CM-SH T3xj7 
SY03 7.80 208.54 637.48 41.12 25.75 156.21 0.35 256.99 314.12 10−2.40 0.43 605 544 −631.93 −0.59 N-SH T3xj6 III 
SY04 7.90 135.12 655.88 38.08 9.73 192.25 2.84 269.60 286.78 10−2.14 0.01 610 550 −95.13 −0.74 N-SH T3xj6 III 
SY05 7.90 100.09 1,041.04 20.04 12.16 371.50 16.31 331.20 579.66 10−1.83 0.01 626 565 −31.30 −0.88 N-HS T3xj6 III 
SY06 7.90 205.18 846.33 50.10 19.45 245.75 4.25 288.80 475.93 10−1.60 0.01 650 490 −80.92 −0.70 N-HS T3xj7 III 
SY07 7.60 1,131.02 1,718.09 314.63 83.90 111.50 1.42 1,048.00 317.29 10−1.19 0.01 671 510 −110.50 −0.16 CM-S T3xj7 III 
SY08 7.00 515.46 970.56 146.29 36.48 129.00 0.35 512.00 292.88 10−1.57 0.03 627 395 −521.68 −0.33 CN-SH T3xj7 III 
SY09 7.00 245.22 847.34 62.12 21.89 204.00 0.35 440.00 237.97 10−2.11 0.04 550 317 −825.56 −0.62 N-SH T3xj7 II 
SY10 7.30 440.40 534.18 124.25 31.61 0.25 0.35 298.40 158.64 10−2.15 0.07 542 309 −0.01 0.00 CM-SH T3xj7 II 
SY11 7.70 285.26 330.08 76.15 23.10 0.75 0.35 150.40 158.64 10−2.34 0.09 651 420 −2.04 0.00 CM-SH T3xj7 III 
SY12 7.20 790.71 1,005.30 226.45 54.72 9.00 0.35 608.00 213.56 10−1.66 0.02 645 203 −35.47 −0.02 CM-S J1zh II 
SY13 7.10 230.21 277.94 60.12 19.45 0.50 0.35 154.80 85.42 10−2.97 0.13 623 183 −1.03 0.00 CM-SH J1zh II 
SY14 7.00 205.18 237.91 44.09 23.10 3.50 0.35 102.80 128.14 10−2.75 0.11 557 60 −13.18 −0.03 CM-SH J1zh 
SY15 7.90 345.54 1,155.54 80.58 35.12 275.36 1.54 600.12 325.64 10−2.10 0.14 605 542 −252.57 −0.62 N-SH T3xj6 III 
SY16 7.70 315.16 939.06 101.35 15.14 220.12 0.35 389.42 425.36 10−1.76 0.06 505 441 −890.88 −0.58 NC-SH T3xj6 III 
SY17 7.60 544.11 1,116.24 120.54 59.15 198.52 3.45 452.71 563.74 10−1.45 0.16 565 411 −80.60 −0.42 NCM-SH T3xj7 III 
SY18 7.60 519.16 1,040.69 178.05 18.21 172.26 0.35 389.53 564.58 10−1.28 0.29 490 336 −696.96 −0.40 CN-HS T3xj7 III 
SY19 7.70 280.11 896.47 96.85 9.35 208.34 2.56 418.31 322.12 10−2.02 0.45 725 480 −114.41 −0.59 NC-SH T3xj7 III 
SY20 7.10 479.29 611.91 138.95 32.23 7.10 0.35 354.10 158.35 10−2.48 0.54 610 177 −27.77 −0.03 CM-SH J1zh II 
SY21 7.20 545.08 706.84 120.25 59.56 20.15 0.35 421.90 169.25 10−2.49 0.60 670 236 −80.64 −0.07 CM-S J1zh II 
SY22 7.00 406.17 511.90 112.58 30.45 12.55 0.35 260.80 190.33 10−2.40 0.38 650 215 −49.85 −0.06 CM-SH J1zh II 
SY23 7.30 200.74 235.35 55.31 15.25 1.15 0.35 112.50 101.58 10−3.22 0.54 525 89 −3.66 −0.01 CM-SH J1zh 
SY24 7.10 229.76 271.93 60.51 19.15 1.58 0.75 133.50 112.87 10−3.09 0.08 545 107 −1.99 −0.01 CM-SH J1zh 
Max 7.90 1,131.02 1,718.09 314.63 83.90 371.50 16.31 1,048.00 579.66 10−1.19 0.60  565.00      
Min 6.70 100.09 235.35 20.04 9.35 0.25 0.35 102.80 85.42 10−3.22 0.01  32.00      
Mean 7.40 369.84 717.77 100.63 28.83 106.00 1.61 347.93 265.51 10−2.21 0.20  326.46      
SD 0.36 225.01 367.65 65.11 18.03 111.48 3.26 204.81 154.45 100.58 0.20  167.16      

Pco2 is the partial pressure of CO2, atm is the standard atmospheric pressure, 1 atm is 101 325 Pa, Elv. is Surface elevation, and water type uses N for Na, C for Ca, M for Mg, S for SO4, and H for HCO3.

General hydrochemical characterization

The hydrochemical data and summarized statistical data for the 24 groups of water samples are shown in Table 1. The pH ranged from 6.70 to 7.90 (mean of 7.40). The TDS ranged from 235.35 to 1,718.09 mg/L (mean of 717.77 mg/L), and there was a gradually increasing trend with increased sampling depth. The TH (i.e., CaCO3) ranged from 100.09 to 1,131.02 mg/L (mean of 369.84 mg/L). For cations, the ρ(Na+ + K+) was 0.25–371.50 mg/L (mean of 106.00 mg/L), ρ(Ca2+) was 20.04–314.63 mg/L (mean of 100.63 mg/L), and ρ(Mg2+) was 9.73–83.90 mg/L (mean of 28.83 mg/L). For anions, the ρ(Cl) was 0.35–16.31 mg/L (mean of 1.61 mg/L), ρ() was 102.80–1,048.00 mg/L (mean of 347.93 mg/L), and ρ() was 85.42–579.66 mg/L (mean of 265.51 mg/L). The relative abundance of the main cations and anions in inrush water were ranked as: Na+ + K+ > Ca2+ > Mg2+ and > > Cl. The groundwaters were classified into eight types: (i) Ca + Mg-SO4 + HCO3, 10 samples, (ii) Na-SO4 + HCO3, four samples, (iii) Ca + Mg-SO4, three samples, (iv) Na + Ca-SO4 + HCO3, two samples, (v) Na-HCO3 + SO4, two samples, (vi) Ca + Na-SO4 + HCO3, (vii) Ca + Na- HCO3 + SO4, and (viii) Ca + Mg + Na- SO4 + HCO3, And the dominant types are Ca + Mg-SO4 + HCO3 water.

The Durov diagram is an improvement of the Piper diagram, whereby abnormal responses to pH and TDS are more obvious on the basis of reflecting the internal relationship between the principal components of groundwater. The 12 groups of water samples fell into two main categories in the Durov diagram (Figure 4). The cations tended to be dominated by Ca2+, and the anions tended to be dominated by . The range of TDS was large, although values were mainly <1,000 mg/L.

Figure 4

Durov diagram of the water samples from the coalmine.

Figure 4

Durov diagram of the water samples from the coalmine.

Close modal

The partial pressure of CO2 was between 10−3.22 and 10−1.19 atm (mean of 10−2.21 atm), which is higher than the partial pressure of CO2 in the atmosphere (10−3.5 atm), thus indicating that the groundwater system in the mine area is an open system. The results showed that the CO2 from the reaction of water and carbonate could be effectively supplemented, which is beneficial to the water–rock interactions in the mining area.

Sources of main anion

The milligram equivalent percentages of all ions and most ions in the water-burst area of the study area were >25% and reflect the main characteristic ions in the groundwater of the coalmine. Therefore, the sources of these ions could be determined by the Gibbs diagram and the chemical reaction equation.

Gibbs analysis

A Gibbs diagram was plotted to analyze the formation of groundwater chemical components and ion sources (Luan et al. 2017). As shown in Figure 5, ρ(Na+ + K+)/ρ(Na+ + K+ + Ca2+) was >0.6, i.e., beyond the boundary. This is because the calculated mass concentration of Na+ + K+ in the hydrochemical analysis included other undetermined cation components. ρ(Cl)/ρ(Cl + ) was 0.001–0.062, and the TDS concentration was relatively high. This indicates that the water–rock interactions served as the main influencing factor that controlled the chemical characteristics of the sampled mine-water bursts. The TDS content of some inrush water (Figure 5) exceeded the boundary, which was plotted based on surface water composition in the Gibbs diagram (Sun et al. 2014). The groundwater was greatly affected by the seepage path's length and the mineral composition along the pathway.

Figure 5

Gibbs diagram of the coalmine water samples.

Figure 5

Gibbs diagram of the coalmine water samples.

Close modal

Sources of sulfate

In general, ions mainly come from the dissolution of gypsum and other sulfates. If all originated from the dissolution of gypsum and anhydrite, the γ(Ca2+): γ() ratio would equal 1:1 (Equations (3) and (4)) (Ledesma-Ruiz et al. 2015); however, almost all of the water samples in Figure 6(a) are skewed to the axis, and six samples (SY03, SY04, SY05, SY06, SY09, and SY15) Ca2+: ratio was exceed 1:2, thus indicating that there were other sources of (Stumm & Morgan 2012):
(3)
(4)
Figure 6

Scatter plots showing the relationships between: (a) γ() vs γ(Ca2+); (b) γ() vs γ(Ca2+ + Mg2+); (c) γ( + ) vs γ(Ca2+ + Mg2+); (d) γ(Ca2+ + Mg2+)/γ() vs γ()/γ().

Figure 6

Scatter plots showing the relationships between: (a) γ() vs γ(Ca2+); (b) γ() vs γ(Ca2+ + Mg2+); (c) γ( + ) vs γ(Ca2+ + Mg2+); (d) γ(Ca2+ + Mg2+)/γ() vs γ()/γ().

Close modal
The coal in the studied mine is due to sedimentation related to land–sea interactions. The coal and surrounding rocks comprise a relatively high pyrite (FeS2) content, and the coal contains sulfur (Ge et al. 2000). When encountering groundwater that contains dissolved oxygen, pyrite forms soluble sulfates due to redox (Equation (5)), which is another major source of :
(5)

Sources of bicarbonate

An important source of in groundwater is from dissolved CO2, with the reaction shown in Equation (6) (Hudak 2004):
(6)
The dissolution of calcite and dolomite (Equations (7) and (8)) is another pathway for the formation of (Chen et al. 2017):
(7)
(8)
Silicate minerals such as feldspars (potassium, sodium, and calcium feldspar) can also lead to an increase in due to the dissolution of carbonic acid (Equations (9)–(11)) (Subramani et al. 2010):
(9)
(10)
(11)

Generally, groundwater constituents in the samples were derived from carbonate or silicate weathering, as determined from γ (Ca2+ + Mg2+)/γ(). The deviation towards the Ca2+ + Mg2+ axis indicates that silicate weathering and dissolution are dominated (Purushothaman et al. 2014). Figure 6(b) shows that most samples from mine-water bursts were close to the Ca2+ + Mg2+ axis, thus indicating that carbonate dissolution played a controlling role in groundwater formation, with silicate dissolution as the secondary factor. In the scatter plot of γ(Ca2+ + Mg2+)/γ( + ) (Figure 6(c)), only some points are near the 1:1 line, which further indicates that silicate dissolution was the secondary source (Kamtchueng et al. 2014).

Carbonate weathering by sulfuric acid

Another distinct hydrochemical feature was for six samples the γ(Ca2+): γ() ratio exceeded 1:2, and two samples (SY07 and SY12) had a high concentration of (more than 600 mg/l). As stated earlier, the Xujiahe(T3xj) sandstone was carbonate and calcareous cementation, the main minerals were carbonates and anhydrite (or gypsum). Thus, the water–rock reactions are carbonate weathering, which can be expressed as Equations (12) and (13):
(12)
(13)

As indicated by Equations (12) and (13), if carbonate weathering was by carbonic and sulfuric acids only, the γ(Ca2+ + Mg2+)/γ() should be exactly 1 and 2, respectively. Whereas if the γ()/γ() ratio of carbonate weathering is by carbonic and sulfuric acids only, it should be 0 and 1, respectively. Figure 6(d) shows that only a few samples were distributed between two end members, and more samples were around the sulfuric acid end member, indicating that sulfuric acid participated more in the weathering processes. In Figure 6(d), the gypsum dissolution line was referenced previously (Liu & Han 2020). Some samples were close to the gypsum dissolution line, so the contribution of gypsum dissolution cannot be ignored.

The silicate weathering as demonstrated in Equations (9)–(11) can produce , which will decrease the γ(Ca2+ + Mg2+)/γ() value and the points will move downward. So, some samples γ(Ca2+ + Mg2+)/γ() <1 occurred, which represented that silicate weathering was involved.

Vertical zoning feature

Data processing

By taking each sampling point's burial depth as the foundation for vertical zoning, the shortest seepage distance of each water-inrush point could be calculated in the monoclinal stratum in combination with the stratigraphic dip (i.e., the straight-line distance from the surface recharge area to the water-inrush point).

The physical and chemical indices of the sampled mine inrush water with different classifications, measurement units and ranges, and the normalization treatment effectively highlights the relative relationships among the indices. This is conducive for the comparative analysis of the physical and chemical indices of inrush water at different burial depths. The pH, TDS, Ca2+, Mg2+, , and data were converted to an interval of [0, 1] using the minimum/maximum normalization method (Wu & Lo 2010). The method of choice was based on min/max and is a linear transformation and easy to interpret the results, it could represent all information from the original values, and widen the range of indicators within a small area (OECD et al. 2008). The conversion function is shown in Equation (14), and the results are shown in Table 2:
(14)
Table 2

Data normalization results for each water-inrush point

No.pH indexTDS indexCa2+ indexMg2+ index index indexDepth/mDip/°Shortest seepage distance/m
SY01 0.42 0.08 0.21 0.14 0.11 0.01 223 42 333.27 
SY02 0.00 0.03 0.16 0.10 0.05 0.02 32 43 46.92 
SY03 0.92 0.27 0.07 0.22 0.16 0.46 544 36 925.51 
SY04 1.00 0.28 0.06 0.01 0.18 0.41 550 37 913.90 
SY05 1.00 0.54 0.00 0.04 0.24 1.00 565 37 938.83 
SY06 1.00 0.41 0.10 0.14 0.20 0.79 490 37 814.20 
SY07 0.75 1.00 1.00 1.00 1.00 0.47 510 38 828.38 
SY08 0.25 0.50 0.43 0.36 0.43 0.42 395 34 706.38 
SY09 0.25 0.41 0.14 0.17 0.36 0.31 317 34 566.89 
SY10 0.50 0.20 0.35 0.30 0.21 0.15 309 45 436.99 
SY11 0.83 0.06 0.19 0.18 0.05 0.15 420 37 697.89 
SY12 0.42 0.52 0.70 0.61 0.53 0.26 203 29 418.72 
SY13 0.33 0.03 0.14 0.14 0.06 0.00 183 29 377.47 
SY14 0.25 0.00 0.08 0.18 0.00 0.09 60 42 89.67 
SY15 1.00 0.62 0.21 0.35 0.53 0.49 542 39 861.25 
SY16 0.83 0.47 0.28 0.08 0.30 0.69 441 40 686.07 
SY17 0.75 0.59 0.34 0.67 0.37 0.97 411 38 667.57 
SY18 0.75 0.54 0.54 0.12 0.30 0.97 336 38 545.75 
SY19 0.83 0.45 0.26 0.00 0.33 0.48 480 34 858.38 
SY20 0.33 0.25 0.40 0.31 0.27 0.15 177 38 287.50 
SY21 0.42 0.32 0.34 0.67 0.34 0.17 236 38 383.33 
SY22 0.25 0.19 0.31 0.28 0.17 0.21 215 39 341.64 
SY23 0.50 0.00 0.12 0.08 0.01 0.03 89 40 138.46 
SY24 0.33 0.02 0.14 0.13 0.03 0.06 107 40 166.46 
Max 1.00 1.00 1.00 1.00 1.00 1.00 565.00 45.00 938.83 
Min 0.00 0.00 0.00 0.00 0.00 0.00 32.00 29.00 46.92 
Mean 0.58 0.33 0.27 0.26 0.26 0.36 326.46 37.67 542.98 
SD 0.30 0.25 0.22 0.24 0.22 0.31 167.16 3.74 279.13 
No.pH indexTDS indexCa2+ indexMg2+ index index indexDepth/mDip/°Shortest seepage distance/m
SY01 0.42 0.08 0.21 0.14 0.11 0.01 223 42 333.27 
SY02 0.00 0.03 0.16 0.10 0.05 0.02 32 43 46.92 
SY03 0.92 0.27 0.07 0.22 0.16 0.46 544 36 925.51 
SY04 1.00 0.28 0.06 0.01 0.18 0.41 550 37 913.90 
SY05 1.00 0.54 0.00 0.04 0.24 1.00 565 37 938.83 
SY06 1.00 0.41 0.10 0.14 0.20 0.79 490 37 814.20 
SY07 0.75 1.00 1.00 1.00 1.00 0.47 510 38 828.38 
SY08 0.25 0.50 0.43 0.36 0.43 0.42 395 34 706.38 
SY09 0.25 0.41 0.14 0.17 0.36 0.31 317 34 566.89 
SY10 0.50 0.20 0.35 0.30 0.21 0.15 309 45 436.99 
SY11 0.83 0.06 0.19 0.18 0.05 0.15 420 37 697.89 
SY12 0.42 0.52 0.70 0.61 0.53 0.26 203 29 418.72 
SY13 0.33 0.03 0.14 0.14 0.06 0.00 183 29 377.47 
SY14 0.25 0.00 0.08 0.18 0.00 0.09 60 42 89.67 
SY15 1.00 0.62 0.21 0.35 0.53 0.49 542 39 861.25 
SY16 0.83 0.47 0.28 0.08 0.30 0.69 441 40 686.07 
SY17 0.75 0.59 0.34 0.67 0.37 0.97 411 38 667.57 
SY18 0.75 0.54 0.54 0.12 0.30 0.97 336 38 545.75 
SY19 0.83 0.45 0.26 0.00 0.33 0.48 480 34 858.38 
SY20 0.33 0.25 0.40 0.31 0.27 0.15 177 38 287.50 
SY21 0.42 0.32 0.34 0.67 0.34 0.17 236 38 383.33 
SY22 0.25 0.19 0.31 0.28 0.17 0.21 215 39 341.64 
SY23 0.50 0.00 0.12 0.08 0.01 0.03 89 40 138.46 
SY24 0.33 0.02 0.14 0.13 0.03 0.06 107 40 166.46 
Max 1.00 1.00 1.00 1.00 1.00 1.00 565.00 45.00 938.83 
Min 0.00 0.00 0.00 0.00 0.00 0.00 32.00 29.00 46.92 
Mean 0.58 0.33 0.27 0.26 0.26 0.36 326.46 37.67 542.98 
SD 0.30 0.25 0.22 0.24 0.22 0.31 167.16 3.74 279.13 

Normalization index characteristics

We divided the mine inrush water into three zones for depth. From the ground-surface to the standard deviation the value of all sample’ depths was zone I, deeper than the mean of all sample depths was zone III, the middle was zone II. The mean values of six indicators (pH, TDS, Ca2+, Mg2+, , and ) in each zone were calculated. The index of the mean values of each indicator was calculated using the minimum/maximum normalization method (Table 3 and Figure 7).

Table 3

Indicators’ indices at different depths

ZoneIIIIII
Depth/m < 167.16 [167.16–326.46)  ≥ 326.46 
Mean depth/m 72.00 232.88 473.67 
Number of samples 12 
Variables mean index mean index mean index 
pH 7.03 0.27 7.14 0.36 7.69 0.83 
TDS/mg·L−1 257.49 0.01 606.12 0.25 945.62 0.48 
Ca2+/mg·L−1 56.51 0.12 115.66 0.32 105.32 0.29 
Mg2+/mg·L−1 18.63 0.12 33.74 0.33 28.96 0.26 
/mg·L−1 125.00 0.02 342.91 0.25 425.59 0.34 
/mg·L−1 110.06 0.05 163.15 0.16 385.56 0.61 
ZoneIIIIII
Depth/m < 167.16 [167.16–326.46)  ≥ 326.46 
Mean depth/m 72.00 232.88 473.67 
Number of samples 12 
Variables mean index mean index mean index 
pH 7.03 0.27 7.14 0.36 7.69 0.83 
TDS/mg·L−1 257.49 0.01 606.12 0.25 945.62 0.48 
Ca2+/mg·L−1 56.51 0.12 115.66 0.32 105.32 0.29 
Mg2+/mg·L−1 18.63 0.12 33.74 0.33 28.96 0.26 
/mg·L−1 125.00 0.02 342.91 0.25 425.59 0.34 
/mg·L−1 110.06 0.05 163.15 0.16 385.56 0.61 
Figure 7

Hydrochemical vertical zoning and evolution model of groundwater in a coalmine under ideal conditions. (→ groundwater flow or precipitation).

Figure 7

Hydrochemical vertical zoning and evolution model of groundwater in a coalmine under ideal conditions. (→ groundwater flow or precipitation).

Close modal

As can be seen from Table 3 and Figure 7, the index values in zone I were all <0.15, and the relative size of each index was ranked as: Mg2+ > pH > Cg2+ > > > TDS. The index values in zone II ranged from 0.18 to 0.38, and the relative size of each index was ranked as: pH > Cg2+ > Mg2+ > TDS = > . The index values in zone III ranged from 0.28 to 0.81, and the relative size of each index was ranked as: pH > > TDS > > Cg2+ > Mg2+. Thus, the TDS, and in the water-burst samples varied significantly with burial depth.

The six indicators showed overall increasing trends, which could be subdivided into three main categories according to the change between the zones. pH and increased slowly at first and then rapidly; Ca2+ and Mg2+ quickly increased and then decreased slowly; TDS and quickly increased and then slowed. In the process of infiltration, oxygen-rich groundwater first reacted with pyrite to generate H+ and , and the resultant low pH water immediately reacted with carbonate in the water-bearing medium, which could subsequently rapidly increase the concentrations of TDS, , Ca2+, and Mg2+. In contrast, the pH and did not decrease, which indicated that the amount of H+ ions was still low. In the process of continuous groundwater seepage, the oxygen content and H+ ions gradually decreased. The redox effect weakened to zero, thereby leading to (i) a rapid rise in pH and , (ii) a slow rise in TDS and , (iii) the continuous dissolution of carbonate to saturation (versus the formation of precipitate), and (iv) slow declines in Ca2+ and Mg2+ concentrations.

The ratio of main ions

The milligram equivalent ratio analysis of the main ions (Table 4) showed that the γSO4/γHCO3 ratio in zone II was >2 and that of the γCa/γSO4 ratio was <1, thus indicating that originated from sulfide oxidation (Li et al. 2000). It can also be seen that from zone I to zone III (i.e., with increased depth), the ratios of main ions exhibited three main characteristics as follows. (1) The ratios of γCa/γSO4, γMg/γSO4, and γ(Ca + Mg)/γSO4 showed gradually decreasing trends, which indicated a corresponding gradual increase in . It could be inferred that the redox reaction of pyrite continued simultaneously. (2) The γSO4/γ(SO4 + Cl) ratio was unchanged, indicating that the vertical change of the concentration in groundwater from zone I to zone III was always much higher than that of Cl. (3) The trend of first increasing and then decreasing could be divided into two sub-classes as follows. (a) The γCa/γHCO3 and γ(Ca + Mg)/γHCO3 ratios in zone III were less than those in the zone I. This suggests that low pH groundwater could promote carbonate dissolution, which was characterized by increased Ca2+ and Mg2+ in zone II. The dissolution of carbonate in zone II could produce CO2 that was soluble in water, which would have resulted in an increased concentration in zone III. (b) The ratios of γSO4/γHCO3 and γSO4/γ(HCO3 + Cl) in zone III were greater than those in zone I, thus indicating that the total concentration in inrush water increased relative to the concentrations of and Cl.

Table 4

Ratios of main ions in three different zones

ZoneγCa/γSO4γMg/γSO4γ(Ca + Mg)/γSO4γCa/γHCO3γ(Ca + Mg)/γHCO3γSO4/γHCO3γSO4/γ(SO4 + Cl)γSO4/γ(HCO3 + Cl)
1.09 0.61 1.69 1.60 2.45 1.47 1.00 1.46 
II 0.84 0.40 1.25 2.23 3.31 2.66 1.00 2.65 
III 0.59 0.28 0.87 0.94 1.36 1.53 0.99 1.52 
ZoneγCa/γSO4γMg/γSO4γ(Ca + Mg)/γSO4γCa/γHCO3γ(Ca + Mg)/γHCO3γSO4/γHCO3γSO4/γ(SO4 + Cl)γSO4/γ(HCO3 + Cl)
1.09 0.61 1.69 1.60 2.45 1.47 1.00 1.46 
II 0.84 0.40 1.25 2.23 3.31 2.66 1.00 2.65 
III 0.59 0.28 0.87 0.94 1.36 1.53 0.99 1.52 

Cation exchange

In the coalmine area, the groundwater residence or in movement processes controlled the geochemistry composition, which can be understood by the cation exchange. One study (Schoeller 1977) introduced chloro-alkaline indices (CAI) to assess the cation exchange between groundwater and the host environment. The CAI-I and CAI-II (expressed in mEq/L), were calculated using Equations (15) and (16) and they are plotted in Figure 8 and Table 1:
(15)
(16)
Figure 8

Chloro-alkaline Indices: Index of base exchange.

Figure 8

Chloro-alkaline Indices: Index of base exchange.

Close modal

Both CAI positive values indicated that reverse ion exchange occurred between Na+ or K+ in the groundwater with Ca2+ or Mg2+ in the rocks. Similarly, both values were negative when there was an exchange between Ca2+ or Mg2+ in the water and Na+ or K+ in the rocks (Pisciotta et al. 2018). If CAI is equal to zero, it means there is no exchange between water and rocks (Koffi et al. 2017). While the absolute value of CAI largely illustrates the high degree of cation exchange (Wang et al. 2015).

We found all samples CAI-I and CAI-II were below zero, indicating that Na+ and K+ was released from the aquifer material through the process of cation exchange. The mean values of CAI-I in zones I, II and III were found to be −5.72, −128.18 and −292.41, the mean values of CAI-II in zones I, II, and III were −0.01, −0.10 and −0.50, respectively. This trend shows an increasingly stronger degree of cation exchange in zones I, II and III, which corresponds to shallow, medium and deep groundwater buried. The results of the Durov diagram also support the fact of ion exchange and the trend (Figure 4).

Hydrochemical inverse modeling

According to the hydrochemical data, PHREEQC was used to calculate the amount of groundwater transferred for deep mineral-phase seepage. The model was also used to characterize water–rock interactions’ strength to indicate the vertical evolution of groundwater in the studied mine. According to groundwater circulation characteristics in the study area and the sampling point locations, the following typical flow path was selected as the simulation path: S14 → S12 → S11 → S06 (from a shallow depth to the deep part of the mine) (Figure 1).

The depths at which hydrochemical samples were taken were all >30 m; hence, the influence of evaporation/concentration was not considered. The strata in the mining area mainly include sandstone, mudstone, and shale. The main minerals include quartz, feldspar, mica, and rock debris, and the cementing substances are mainly calcium, clay impurities, and iron. When the Na+ concentration was high (>3.5 mEq/L), the effect of cation exchange on the TH was particularly obvious, especially the cation exchange reaction between Na+ and exchangeable Ca2+ and Mg+ in clay minerals (Huan et al. 2011).

According to the hydrochemical characteristics, main mineral composition, and groundwater circulation conditions, six aspects were selected for the simulation paths as follows: four mineral phases (calcite, dolomite, gypsum, and halite), CO2, and cation exchange (i.e., NaX and CaX2). According to the hydrochemical determination results, K+ + Na+, Ca2+, Mg2+, , , and Cl, were determined as the constraint variables. The calculation results of the mass equilibrium reaction model are presented in Table 5.

Table 5

Results of hydrochemical inverse modeling

PathModelZone changeCalciteDolomiteGypsumHaliteNaXCaX2CO2(g)
S14 → S06  I → III 3.74 −0.17 2.00 0.11 10.97 −5.49 3.17 
S14 → S12 I → II −1.63 1.28 5.01 9.66 × 10−6 0.24 −0.12 0.75 
−1.63 1.28 5.01 – 0.24 −0.12 0.75 
S12 → S11 II → III 1.90 −1.27 −4.48 −8.39 × 10−6 −0.36 0.18 −0.88 
1.90 −1.27 −4.48 – −0.36 0.18 −0.88 
S11 → S06  III → III 3.41 −0.15 1.52 0.11 11.09 −5.55 3.29 
PathModelZone changeCalciteDolomiteGypsumHaliteNaXCaX2CO2(g)
S14 → S06  I → III 3.74 −0.17 2.00 0.11 10.97 −5.49 3.17 
S14 → S12 I → II −1.63 1.28 5.01 9.66 × 10−6 0.24 −0.12 0.75 
−1.63 1.28 5.01 – 0.24 −0.12 0.75 
S12 → S11 II → III 1.90 −1.27 −4.48 −8.39 × 10−6 −0.36 0.18 −0.88 
1.90 −1.27 −4.48 – −0.36 0.18 −0.88 
S11 → S06  III → III 3.41 −0.15 1.52 0.11 11.09 −5.55 3.29 

Positive numbers indicate dissolution, and negative numbers indicate precipitation, ‘-’ means that the mineral did not participate in the reaction.

The overall hydrochemical evolution from a shallow depth (zone I) to the deep part of the mine (zone III) was represented by S14 → S06, whereby one model was used for the calculation. The most massive transfer in the simulation occurred for NaX and CaX2, suggesting that cation exchange plays a significant role in groundwater chemistry at the studied mine. Calcite and gypsum were dissolved along the simulated groundwater path, indicating that mineral dissolution is also an essential factor in the groundwater chemistry. A large amount of dissolved CO2 (g) indicated that the groundwater system in the study area is an open system, consistent with the partial pressure of CO2 that was calculated in Table 1. Dolomite and halite were secondary factors affecting the groundwater hydrochemistry.

The evolutionary process of zone I to zone II was represented by S14 → S12 and included two calculation models, which were both reasonable. The difference between the two models was a small amount of halite dissolution. The dissolution of dolomite, gypsum, and halite occurred along the flow path. A large amount of gypsum dissolution could have caused the Ca2+ ions to increase significantly, whereas dolomite dissolution could only have slightly increased the Mg2+ ions. The amount of calcite precipitation was 1.63 mmol/L, which hardly changed the Ca2+ content; hence, the cation exchange was weak.

The path S11 → S06 represents the continuous change in depth within zone III and included one model for the calculation. Cation exchange was significantly enhanced, whereby Na+ increased as Ca2+ was removed from groundwater, thus indicating that the groundwater circulation in the deep mining area was weakened (Ge et al. 2000). The results showed that CO2 dissolved in groundwater at a concentration of 3.29 mmol/L. Calcite continued to dissolve, and gypsum dissolved to a concentration of 1.52 mmol/L.

Vertical zoning model and mechanism

The ion index changes, ratios of main ions, and mineral phase transfer in the groundwater from a shallow to the deep part of a mine are important indicators of the vertical geochemical evolution of groundwater in coal mining areas.

In the ideal model, rainfall (or surface water) infiltration and recharge of the groundwater in the shallow area (zone I), will result in dissolution of the aquifer medium to form a Ca-HCO3 water type with a low degree of mineralization. At mid-depths (zone II), weak weathering, and the pyrite content due to coal mining is high and not oxidized. The artificial groundwater circulation characteristics that form after mining increase the groundwater oxygen content, which can promote pyrite's oxidation; hence, a large amount of and H+ ions are formed and produce a Ca + Mg-SO4 + HCO3 water type with a low pH and high salinity. Due to the decreased dissolved oxygen in the groundwater in the deep area (zone III), the redox of pyrite is weakened, and acidic water accelerates the dissolution of minerals; thus, a large amount of Ca2+, Mg2+, and ions is generated. Also, the weakening of the groundwater circulation leads to enhanced cation exchange, and the final formation of a neutral pH, high-salinity Ca + Mg-HCO3 + SO4(or Na-HCO3 + SO4) type water. The above model is summarized in Table 6 and Figure 9.

Table 6

Changes of chemical indexes in coalmine groundwater under ideal conditions

ZoneWater typeMain reactionMain indicator variation
pHTDSCa2+Mg2+
Ca-HCO3 Dissolution – – – – – – 
II Ca + Mg-SO4 + HCO3 Redox ↓ ↑ ↑ – – – 
III Ca + Mg-HCO3 + SO4 or Na-HCO3 + SO4 Re-dissolution cation exchange ↗ ↗ – ↑ ↑ ↑ 
ZoneWater typeMain reactionMain indicator variation
pHTDSCa2+Mg2+
Ca-HCO3 Dissolution – – – – – – 
II Ca + Mg-SO4 + HCO3 Redox ↓ ↑ ↑ – – – 
III Ca + Mg-HCO3 + SO4 or Na-HCO3 + SO4 Re-dissolution cation exchange ↗ ↗ – ↑ ↑ ↑ 

Assuming that groundwater in zone I is the initial condition, ↑ indicates a rapid increase, ↗ indicates a moderate increase, ↓ indicates a great reduction, and – indicates that values were largely unchanged.

Figure 9

Index changes between the three zones.

Figure 9

Index changes between the three zones.

Close modal

The drainage of groundwater in the process of coalmine production can result in significant changes to the groundwater circulation. After mining, the groundwater in the mining area is replenished by rainfall and surface water. Groundwater discharge occurs at the roadway where primary fissures, goaf, and mined-out water flowing fractures are found. This water returns to the surface through the mine drainage system, thus forming the groundwater circulation system via artificial interference. A dramatic decline in the groundwater level can be seen in the coal seam (Figure 2). Such variations in the groundwater circulation can change a coal mining area from a reducing environment (before mining) to an oxidizing environment (after mining). Infiltrated water can contain enough oxygen to accelerate a series of reactions, including pyrite oxidation and mineral dissolution. Therefore, the degrees of dissolution and redox depend on the length of the seepage path and pyrite and groundwater's oxygen content. Accordingly, under the combined influence of these factors, groundwater and vertical zoning's basic chemical characteristics are formed.

Water–rock interactions are the main factor influencing the hydrogeochemical characteristics. CAI indicated that Ca2+ and Mg2+ in water were exchange by Na+ and K+ in aquifer material. Sulfate originating from gypsum dissolution and pyrite oxidation. Sulfuric acid participates more in the weathering processes, and involved carbonic acid, gypsum dissolution, silicate weathering.

Based on buried depth, three zones were classified according to mean and standard deviation value. It generally displays an enhanced normalization index, CAI, TDS, and pH with increasing depth, while ion ratio exhibited three complexes tendencies. According to PHREEQC-based inverse modeling, gypsum, halite, NaX, calcite and CO2 were dissolution, while dolomite and CaX2 were precipitation, from zones I to III. Water type and indicator variation were obvious controlled by main hydrogeochemical reactions.

The hydrochemical vertical zonation and evolution was due to drainage, which makes a vertical flow system, and leads to more oxygenic water infiltration into the aquifer, and changed the groundwater to oxidizing conditions, and dissolution occurred in zone I (shallow); after that the reaction was accelerated and complicated, redox appeared in zone II (middle), re-dissolution and cation exchange came out in zone III (deep).

We hereby express our deep gratitude to the 3D Technology Institute and Coalmine Safety Institute of Sichuan Academy of Safety Science and Technology, Sichuan Dazhou New Energy Development Co., Ltd for their enthusiastic help during the fieldwork at the Kongjiagou coalmine. We would also like to thank the reviewers and editors for their considerate work in preparing this paper for publication.

This research was funded by the 2018 planning project of the Sichuan Provincial Department of Science and Technology (2018SZ0290, 2018JY0425).

All relevant data are included in the paper or its Supplementary Information.

Acharya
B. S.
&
Kharel
G.
2020
Acid mine drainage from coal mining in the United States–an overview
.
Journal of Hydrology
588
,
125061
.
https://doi.org/10.1016/j.jhydrol.2020.125061
.
Akcil
A.
&
Koldas
S.
2006
Acid mine drainage (AMD): causes, treatment and case studies
.
Journal of Cleaner Production
14
,
1139
1145
.
https://doi.org/10.1016/j.jclepro.2004.09.006
.
Baird
R. B.
,
Eaton
A. D.
&
Rice
E. W.
2017
Standard Methods for the Examination of Water and Wastewater
, 23rd edn.
Water Environment Federation, American Public Health Association, American Public Health Association
,
Washington, DC, USA
.
Battistel
M.
,
Muniruzzaman
M.
,
Onses
F.
,
Lee
J.
&
Rolle
M.
2019
Reactive fronts in chemically heterogeneous porous media: experimental and modeling investigation of pyrite oxidation
.
Applied Geochemistry
100
,
77
89
.
https://doi.org/10.1016/j.apgeochem.2018.10.026
.
Chen
L.
,
Wang
G.
,
Hu
F.
,
Wang
Y.
&
Liu
L.
2014
Groundwater hydrochemistry and isotope geochemistry in the Turpan Basin, northwestern China
.
Journal of Arid Land
6
,
378
388
.
Chidambaram
S.
,
Anandhan
P.
,
Prasanna
M. V.
,
Srinivasamoorthy
K.
&
Vasanthavigar
M.
2013
Major ion chemistry and identification of hydrogeochemical processes controlling groundwater in and around Neyveli Lignite Mines, Tamil Nadu, South India
.
Arabian Journal of Geosciences
6
,
3451
3467
.
Christofi
C.
,
Bruggeman
A.
,
Kuells
C.
&
Constantinou
C.
2020
Hydrochemical evolution of groundwater in gabbro of the Troodos Fractured Aquifer. A comprehensive approach
.
Applied Geochemistry
114
,
104524
.
https://doi.org/10.1016/j.apgeochem.2020.104524
.
Fetter
C. W.
2018
Applied Hydrogeology
.
Waveland Press
,
Upper Saddle River, New Jersey, USA
.
Gascoyne
M.
&
Kamineni
D. C.
1994
The hydrogeochemistry of fractured plutonic rocks in the Canadian shield
.
Applied Hydrogeology
2
,
43
49
.
Ge
L.
,
Ye
G.
&
Gao
H.
2000
Chinese Coalfield Hydrogeology (in Chinese)
.
China Coal Industry Publishing House
,
Beijing
.
Huan
H.
,
Wang
J.
,
Zhai
Y.
&
Zheng
J.
2011
Chemical characteristics and evolution of groundwater in the Yongding River Alluvial Fan of Beijing Plain (in Chinese)
.
Acta Geoscientica Sinica
32
,
357
366
.
Huang
P.
&
Han
S.
2016
Assessment by multivariate analysis of groundwater-surface water interactions in the coal-mining exploring district, China
.
Earth Sciences Research Journal
20
,
1
8
.
Hudak
P. F.
2004
Principles of Hydrogeology
.
CRC Press
,
Boca Raton, Florida, USA
.
Jia
Y.
,
Guo
H.
,
Jiang
Y.
,
Wu
Y.
&
Zhou
Y.
2014
Hydrogeochemical zonation and its implication for arsenic mobilization in deep groundwaters near alluvial fans in the Hetao Basin, Inner Mongolia
.
Journal of Hydrology
518
,
410
420
.
https://doi.org/10.1016/j.jhydrol.2014.02.004
.
Jia
W. F.
,
Yang
Y.
,
Zhao
Y.
,
Li
J.
,
Lyu
N. Q.
,
Xi
B. D.
,
Li
M. X.
,
Yang
J. J.
&
Guo
Y. F.
2016
Simulation of the water–rock reaction in Chaobai River ground2water storage area (in Chinese)
.
South-to-North Water Transfers and Water Science & Technology
14
,
143
148, 135
.
Kamtchueng
B. T.
,
Fantong
W. Y.
,
Ueda
A.
,
Tiodjio
E. R.
,
Anazawa
K.
,
Wirmvem
M. J.
,
Mvondo
J. O.
,
Nkamdjou
L. S.
,
Kusakabe
M.
&
Ohba
T.
2014
Assessment of shallow groundwater in Lake Nyos catchment (Cameroon, Central-Africa): implications for hydrogeochemical controls and uses
.
Environmental Earth Sciences
72
,
3663
3678
.
Karami
S.
,
Madani
H.
,
Katibeh
H.
&
Fatehi Marj
A.
2018
Assessment and modeling of the groundwater hydrogeochemical quality parameters via geostatistical approaches
.
Applied Water Science
8
,
23
.
doi:10.1007/s13201-018-0641-x
.
Koffi
K. V.
,
Obuobie
E.
,
Banning
A.
&
Wohnlich
S.
2017
Hydrochemical characteristics of groundwater and surface water for domestic and irrigation purposes in Vea catchment, Northern Ghana
.
Environmental Earth Sciences
76
.
doi:10.1007/s12665-017-6490-3
.
Ledesma-Ruiz
R.
,
Pastén-Zapata
E.
,
Parra
R.
,
Harter
T.
&
Mahlknecht
J.
2015
Investigation of the geochemical evolution of groundwater under agricultural land: a case study in northeastern Mexico
.
Journal of Hydrology
521
,
410
423
.
Lghoul
M.
,
Maqsoud
A.
,
Hakkou
R.
&
Kchikach
A.
2014
Hydrogeochemical behavior around the abandoned Kettara mine site, Morocco
.
Journal of Geochemical Exploration
144
,
456
467
.
Li
Y.
,
Wang
Y.
,
Zhang
J.
&
Gao
H.
2000
Geochemical modeling of sulfate pollution in karst water of Niangziguan Region, Shanxi Province, China (in Chinese)
.
Earth Sciences-Journal of China University of Geosciences
25
,
467
471
.
Li
X.
,
Wu
P.
,
Han
Z.
,
Zha
X.
,
Ye
H.
&
Qin
Y.
2018
Effects of mining activities on evolution of water quality of karst waters in Midwestern Guizhou, China: evidences from hydrochemistry and isotopic composition
.
Environmental Science and Pollution Research
25
,
1220
1230
.
doi:10.1007/s11356-017-0488-y
.
Liu
Y.
,
Hu
W.
,
Cao
J.
,
Wang
X.
,
Tang
Q.
,
Wu
H.
&
Kang
X.
2018
Diagenetic constraints on the heterogeneity of tight sandstone reservoirs: a case study on the Upper Triassic Xujiahe Formation in the Sichuan Basin, southwest China
.
Marine and Petroleum Geology
92
,
650
669
.
doi:10.1016/j.marpetgeo.2017.11.027
.
Luan
F.
,
Zhou
J.
,
Jia
R.
,
Lu
C.
,
Bai
M.
&
Liang
H.
2017
Hydrochemical characteristics and formation mechanism of groundwater in plain areas of Barkol-YiwuBasin, Xinjiang (in Chinese)
.
Environmental Chemistry
36
,
380
389
.
Mayo
A. L.
,
Petersen
E. C.
&
Kravits
C.
2000
Chemical evolution of coal mine drainage in a non-acid producing environment, Wasatch Plateau, Utah, USA
.
Journal of Hydrology
236
,
1
16
.
https://doi.org/10.1016/S0022-1694(00)00277-8
.
Medici
G.
,
West
L. J.
&
Mountney
N. P.
2016
Characterizing flow pathways in a sandstone aquifer: tectonic vs sedimentary heterogeneities
.
Journal of Contaminant Hydrology
194
,
36
58
.
https://doi.org/10.1016/j.jconhyd.2016.09.008
.
OECD, Union E, Commission JRC-E
2008
Handbook on Constructing Composite Indicators: Methodology and User Guide
.
https://doi.org/10.1787/9789264043466-en
.
Purushothaman
P.
,
Rao
M. S.
,
Rawat
Y. S.
,
Kumar
C. P.
,
Krishan
G.
&
Parveen
T.
2014
Evaluation of hydrogeochemistry and water quality in Bist-Doab region, Punjab, India
.
Environmental Earth Sciences
72
,
693
706
.
Qiao
W.
,
Li
W.
,
Zhang
S.
&
Niu
Y.
2019
Effects of coal mining on the evolution of groundwater hydrogeochemistry
.
Hydrogeology Journal
27
,
2245
2262
.
doi:10.1007/s10040-019-01969-2
.
Schoeller
H.
1977
Geochemistry of groundwater
. In:
Groundwater Studies–an International Guide for Research and Practice
(
Brown
R. H.
,
Konoplyantsev
A. A.
,
Ineson
J.
&
Kovalevsky
V. S.
, eds).
UNESCO
,
Paris
,
France
, pp.
1
18
.
Shishaye
H. A.
,
Tait
D. R.
,
Befus
K. M.
,
Maher
D. T.
,
Reading
M. J.
,
Jeffrey
L.
,
Tewolde
T. G.
&
Asfaw
A. T.
2020
Development of an improved hydrogeological and hydro-geochemical conceptualization of a complex aquifer system in Ethiopia
.
Hydrogeology Journal
.
doi:10.1007/s10040-020-02229-4
.
Simate
G. S.
&
Ndlovu
S.
2014
Acid mine drainage: challenges and opportunities
.
Journal of Environmental Chemical Engineering
2
,
1785
1803
.
Stumm
W.
&
Morgan
J. J.
2012
Aquatic Chemistry: Chemical Equilibria and Rates in Natural Waters
, Vol.
126
.
John Wiley & Sons
,
New York, USA
.
Subramani
T.
,
Rajmohan
N.
&
Elango
L.
2010
Groundwater geochemistry and identification of hydrogeochemical processes in a hard rock region, Southern India
.
Environmental Monitoring and Assessment
162
,
123
137
.
Sun
P.
,
Yi
Q.
&
Xu
G.
2014
Characteristics of water chemistry and their influencing factors in subsidence waters in the Huainan and Huaibei mining areas, Anhua Province (in Chinese)
.
Journal of China Coal Society
39
,
1345
1353
.
Tay
C. K.
,
Hayford
E. K.
&
Hodgson
I. O. A.
2017
Application of multivariate statistical technique for hydrogeochemical assessment of groundwater within the Lower Pra Basin, Ghana
.
Applied Water Science
7
,
1131
1150
.
doi:10.1007/s13201-017-0540-6
.
Teng
Y.
,
Zuo
R.
,
Wang
J.
&
Lin
X.
2010
Progress in geochemistry of regional ground water evolution (in Chinese)
.
Advances Water Science
21
,
127
136
.
Wang
H.
,
Jiang
X.-W.
,
Wan
L.
,
Han
G.
&
Guo
H.
2015
Hydrogeochemical characterization of groundwater flow systems in the discharge area of a river basin
.
Journal of Hydrology
527
,
433
441
.
doi:10.1016/j.jhydrol.2015.04.063
.
Wang
H.
,
Zhang
D.
,
Wang
X.
&
Zhang
W. J. M.
2017
Visual exploration of the spatiotemporal evolution law of overburden failure and mining-induced fractures: a case study of the Wangjialing coal mine in China
.
Minerals
7
,
35
.
Wu
Q.
,
Fan
Z.
,
Zhang
Z.
&
Zhou
W.
2014
Evaluation and zoning of groundwater hazards in Pingshuo No. 1 underground coal mine, Shanxi Province, China
.
Hydrogeology Journal
22
,
1693
1705
.
doi:10.1007/s10040-014-1138-9
.
Xu
K.
,
Dai
G.
,
Duan
Z.
&
Xue
X.
2018
Hydrogeochemical evolution of an Ordovician limestone aquifer influenced by coal mining: a case study in the Hancheng mining area, China
.
Mine Water and the Environment
37
,
238
248
.
doi:10.1007/s10230-018-0519-z
.
Zhou
X.
,
Ma
Z.
,
Li
T.
&
Dou
H.
2012
Simulation of geochemical evolution of geothermal beneath the Xianyang City, Shaanxi Province (in Chinese)
.
Northwestern Geology
45
,
139
145
.
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