Pumped-storage power stations (PSPSs) have higher requirements for anti-seepage compared with regular power stations. As a result, investigating the seepage distributions of PSPSs is particularly important. However, existing researches remain limited in assessing engineering needs such as ensuring the efficiency of a power station. Taking the Qingyuan PSPS as a typical case, this study aims to investigate the large-scale seepage field distribution while exploring the efficiency of the anti-seepage system. Considering the geological characteristics and structural location, a 3D finite element model is established. Based on the continuous medium model while combined with seepage control measures, the change in leakage while the anti-seepage system failed is further assessed. It is concluded that the operation status of anti-seepage measures will have a certain impact on the leakage volumes of each part. Using a comprehensive assessment, anti-seepage measures can effectively prevent seepage. When failure occurs on anti-seepage curtains, the leakage volume at the corresponding position will show an obvious growth. In summary, the findings of this study highlight the significance of avoiding excessive leakage caused by anti-seepage structure failure, the effective operation of anti-seepage measures must be ensured. The abovementioned results can provide scientific support for the seepage optimization design of PSPSs.

  • The refined finite element model is established.

  • Based on the continuous medium model.

  • The distribution of the large-scale seepage field is analysed.

  • The leakage volume and external water pressure under different deployment schemes of seepage control measures are assessed.

  • A parameter sensitivity analysis of the curtain failure rate is carried out.

As we all know, the development and utilization of water resources have played an important role in national economic development and improved living standards. By the end of 2017, the installed capacity of hydropower in China has reached 341 million kW, ranking first in the world (Chen et al. 2019). Notably, pumped-storage power stations (PSPSs) have the advantages of flexibly deployed hydropower resources, high efficiency and low carbon outputs, which presents a growing development trend. By the end of 2021 in China, the installed capacity of PSPSs reached 36.39 million kW and the power generation capacity has reached 39 billion kW·h (Zhao et al. 2022). The distribution of some typical PSPSs China's coastal areas is shown in Figure 1. Compared with ordinary hydropower stations, PSPSs equipment is mostly located underground. Due to the complex geological conditions and numerous underground structures, the anti-seepage requirements of PSPSs are high. Therefore, it is of great significance to reasonably evaluate the anti-seepage effects of various seepage control measures to guarantee the safety of PSPSs and reduce construction costs.
Figure 1

Distribution map of typical PSPS in China.

Figure 1

Distribution map of typical PSPS in China.

Close modal

Generally speaking, the seepage phenomenon in nature exists in two different media: porous media and fractured media (Du et al. 2000). In practical research, researchers usually adopt different research methods for different rock types located in the project area. Since large-scale projects are generally constructed on hard rock masses, typically contain small cracks that can be considered as fractured media. Therefore, various methods for determining the permeability of fractured rock masses have also been developed (Sun et al. 2006). Under this premise, the equivalent continuum theory provides an alternative method for equating fractured rock masses to continuum, which has lower computational costs and can describe the seepage characteristics of bedrock (Kottwitz et al. 2021). It should be noted that the percolation theory of equivalent continuous media has been developed maturely. Also, it is in good agreement with the actual situation (Du et al. 2000). In other words, the equivalent continuum model enjoys some conveniences in effortless meshing and acceptable computational cost (Azizmohammadi & Sedaghat 2020; Wang et al. 2022), and also it has a strong descriptive ability for the macroscopic seepage characteristics of fractured rock masses. Therefore, it has been widely used in large-scale engineering seepage analysis (Che et al. 2014).

In recent years, as one of the typical projects often deployed in hard rock masses, seepage problems in PSPSs have gradually attracted the attention of relevant researchers. Yang et al. (2021) proposed a simplified analysis method for calculating the leakage of a reservoir basin for a PSPS and deduced a calculation formula for the reservoir leakage volume applicable to different groundwater levels. In recent decades, similar to the calculation of reservoir basin leakage volume, many researchers have proposed seepage analysis methods that are generally applicable to tunnels or rivers (Li et al. 2017; Wang & Li 2018; Ying et al. 2019), which can quickly calculate river leakage volume without complex modelling work. In terms of theoretical research, Zhu (1996) proposed using the improved drainage substructure method to finely simulate the calculation boundaries of drainage holes (DH), drainage corridors (DC) and powerhouses. This solved the numerical treatment problem of many DH crossing the free seepage surface in a project. Tian et al. (2022) summarized the current commonly used drainage hole simulation methods and the finite element method for locating the free surface accurately to provide theoretical support for similar work.

Meanwhile, optimizing an anti-seepage system is also a key issue in engineering. For example, Zhang et al. (2021) proposed an anti-seepage optimization scheme for a group anti-seepage curtain at a reservoir dam site. Their research results provide support and reference for anti-seepage optimization designs of reservoir dams constructed in karst areas. Wang et al. (2015) examined the Huilong PSPS, and a numerical simulation calculation was carried out by using a 3D seepage model of a double-crack system. By comparing the corresponding effects of four anti-seepage schemes, the leakage volume of the fractured rock mass under each scheme was obtained. At the same time, an optimal anti-seepage scheme was selected from multiple factors such as the anti-seepage effect, engineering difficulty and engineering cost, to provide reference value for similar projects with similar geological conditions. Furthermore, Zhang et al. (2020) based on Mopanshan Reservoir, proposed an optimized reservoir seepage control system to ensure the normal operation of the dam under this optimized scheme while ensuring that the leakage volume met the seepage control requirements. For seepage control measures, Miao et al. (2022) proposed a new control inversion method suitable for the structural plane of a fractured rock mass and simulated the seepage field in the study area using the corrected model. The change in leakage volume in each part of a project area under partial and total damage of the anti-seepage system of the Jurong PSPS was also assessed to explore the effect of the anti-seepage system and put forward optimization suggestions. Based on the Hongping PSPS, an analysis method combining drainage hole secondary dissection technology and the modified node virtual flow method was adopted by Zhou et al. (2015), which could easily solve a seepage field problem containing complex seepage control measures. They also made a corresponding evaluation on the seepage control measures of the Hongping PSPS, which has guiding significance for the seepage control optimization of similar projects. Lin & Xu (2022) studied the seepage characteristics of a water conveyance and power generation system of a PSPS under normal conditions. Meanwhile, they assessed the role of seepage control measures such as multilayer drainage galleries and drainage hole curtains in the actual project. The results showed that the seepage control measures of the project had a good effect on water diversion and drainage. Zhang et al. (2018) established a large-scale 3D seepage model and analysed the characteristics of the seepage field and rationality of seepage control measures in a PSPS under normal operation. Meanwhile, a reinforcement scheme of the dam abutment position by grouting was proposed, and the original seepage control scheme was optimized. Xu et al. (2019), examining the Qingyuan PSPS, proposed a new drainage hole array simulation method using an existing theory. Additionally, a 3D equivalent continuous seepage finite element simulation model was established to simulate the seepage field in an underground powerhouse (UP). Shen et al. (2015) compared the effects of overall and local seepage control of the upper reservoir of the Zhenan PSPS. As a result, the local seepage control scheme considering both safety and economic benefits was obtained, which provided reference value for similar projects. In addition, based on an existing theory for water conveyance and power generation system, underground powerhouses, etc. Wu (2007), Zhou et al. (2009) and Yao & Gao (2017) estimated the seepage prevention effects of various seepage control measures in actual project operations. The seepage field in the local area was also analysed and calculated. It should be noted that seepage in fractured rock masses, which is difficult to avoid in actual engineering construction, has interested many researchers. Wen et al. (2020) focused on seepage control in underground chamber engineering. Based on the Wunonglong Hydropower Station Project, the long-term seepage control effect of a complex seepage control system on the fracture surrounding rock of the Wunonglong UP was studied by using a finite element numerical model. The rationality of the seepage control system for the fractured rock of the Wunonglong UP and the potential for further optimization were assessed by combining a global equivalent model with a refined submodel. The inversion method and basic theory of the permeability coefficient of fractured rock masses are also being continuously developed (Chen et al. 2015a, 2015b; Gan et al. 2020). In conclusion, few studies have focused on the large-scale seepage field distribution characteristics of a PSPS project area. In particular, this cannot be duplicated between different projects. Due to the high anti-seepage requirements and special geological conditions of a PSPS, investigating the distribution characteristics of large-scale seepage fields is one of the challenges brought by current engineering design. More importantly, under the different layout schemes of seepage control measures, the seepage characteristics and leakage volume will be changed. In other words, whether the abovementioned schemes will affect the normal operation of a power station is still a scientific problem to be solved urgently in PSPSs.

In view of the above discussion, this study takes the Qingyuan PSPS as an engineering case to investigate large-scale seepage field characteristics and the efficiency of seepage control measures. The detailed analysis procedure is shown in Figure 2. By establishing a large-scale 3D finite element model, the seepage field in the project area under different schemes is simulated and analysed. To accurately describe the seepage characteristics of the rock mass in the engineering area, the equivalent continuous medium theory was adopted. Meanwhile, the characteristics of the seepage field in the project area are explored and the necessity of seepage control measures is estimated. These research results can provide support and reference for the anti-seepage control and optimal design of similar projects.
Figure 2

Analysis steps of large-scale 3D seepage characteristics of pumped-storage power station.

Figure 2

Analysis steps of large-scale 3D seepage characteristics of pumped-storage power station.

Close modal

Calculation model of continuous medium seepage

In practice, an intact rock mass can be regarded as a continuous porous medium, but rock often shows anisotropic seepage characteristics under the influence of structural planes such as fractures, joints and faults. However, since the sizes of rock fractures are much smaller than those of structures and buildings, the effect of the fractures can be averaged into the surrounding rock of the structures. In other words, the surrounding rock is still assumed to be a continuous porous medium that is in accordance with Darcy's law, and the groundwater within the rock is regarded as a steady flow. The analysis method based on steady flow theory usually obeys the following assumptions: (1) the surrounding rock is an isotropic continuous porous medium; (2) the seepage meets Darcy's law; and (3) the stress field of the surrounding rock and coupling effect between the seepage field and the stress field are not considered (Fang et al. 2007).

In this study, the continuous medium model is utilized to simulate the seepage field, which can be described by the motion equation and continuity equation of porous media seepage mechanics (Song 2009). For porous media, the equation of motion for percolation mechanics is Darcy's law, which can be expressed as:
(1)
where v is the seepage velocity vector; K is the permeability, which is related to the structural characteristics of the porous medium itself; is the dynamic viscosity coefficient of the fluid; p is the dynamic water pressure at a given point, , and P is the total pressure; is the density of the fluid; g is the acceleration of gravity; and is the relative height between the given point and the reference surface. Generally, water pressure is represented by water head , that is, Darcy's law can be expressed as follows:
(2)
(3)
where k is the permeability coefficient. The continuity equation is a mathematical expression for the conservation of fluid mass. Take any control volume in the flow field of porous media with porosity , and the outer surface surrounding the control volume is . Taking any panel on the outer surface, its outer normal direction is n, and the seepage velocity through panel is v. The total mass of the fluid flowing through the entire outer surface is:
(4)
The mass increment within the entire control body is:
(5)
According to the law of conservation of mass, the increment of the fluid mass inside the control body should be the same as the fluid mass flowing out through the outer surface , which means
(6)
The differential form of Equations (2)–(6) is given by:
(7)
By substituting Darcy's law into the above equation, the controlling equation for seepage in porous media expressed in terms of the water head is obtained:
(8)

Leakage calculation method

If the finite element method is used to solve the seepage field, the partial derivatives of the waterhead on the unit nodes with respect to the coordinates are not directly available. As a result, the intermediate section method is chosen to calculate the cross-sectional flow (Miao et al. 2022). A typical section is shown in Figure 3. For any eight-node hexahedral isotropic element, the middle section (abcd) is chosen as the overflow cross-section. Meanwhile, S is projected on the yoz, zox and xoy planes, denoted as Sx, Sy and Sz, respectively. The equation for obtaining the seepage flow through the middle of the element is as follows:
(9)
Figure 3

Seepage calculation diagram of typical section.

Figure 3

Seepage calculation diagram of typical section.

Close modal

Validation of the numerical method

The 3D finite element model is established by ABAQUS, which has the advantage of solving the seepage calculation of saturated and unsaturated seepage (Li et al. 2017), meanwhile, the problem of mixing the two can also be solved through this software (Li & Xu 2015). In the use of ABAQUS, the seepage law can adopt not only Darcy's law but more extensive nonlinear law (Zhang & Dai 2010). It also has a specialized pore pressure element, which has one more degree of freedom of pore water pressure compared to conventional stress displacement elements, making it convenient for seepage stress coupling analysis (Lv et al. 2017). In summary, ABAQUS has significant advantages in seepage calculation, so it is appropriate to use it for numerical simulation calculations in this research. The feasibility of the numerical simulation method is verified based on the on-site seepage monitoring data of a typical tunnel engineering project in the Water Diversion Project in central Yunnan. Figure 4 presents the schematic diagram of a grid division of the typical section of the tunnel. Taking the left branch line as an example, the change in the marked tunnel leakage volume was monitored on site. At the same time, the seepage field and leakage volume are calculated by a numerical simulation method that aims to compare with the on-site measured results, to verify the rationality of the calculation method. The underground water level of the tunnel engineering changes obviously with the seasons. The water level boundary conditions are set according to the water level fluctuation. The comparison between the simulation results and measured results in the marked tunnel is revealed in Table 1. It can be observed that the simulation results are in good agreement with the measured results in different periods, and the error remains around 7%, which verifies the acceptability of the numerical simulation method in this study.
Table 1

Monitor value and calculate value of typical tunnel (unit: m3/day/m)

TimeAverage Water level (m)Monitor valueCalculated valueError (%)
2,020.8 2,041.85 2.520 2.333 7.4 
2,020.9 2,030.00 2.043 2.168 6.2 
2,020.10 2,034.22 2.122 2.225 4.6 
2,020.11 2,034.41 2.104 2.228 6.0 
2,020.12 2,027.86 1.621 1.684 3.6 
2,021.1 2,028.07 1.222 1.379 12.9 
2,021.2 2,023.56 1.205 1.300 7.88 
2,021.3 2,018.07 1.199 1.254 4.25 
TimeAverage Water level (m)Monitor valueCalculated valueError (%)
2,020.8 2,041.85 2.520 2.333 7.4 
2,020.9 2,030.00 2.043 2.168 6.2 
2,020.10 2,034.22 2.122 2.225 4.6 
2,020.11 2,034.41 2.104 2.228 6.0 
2,020.12 2,027.86 1.621 1.684 3.6 
2,021.1 2,028.07 1.222 1.379 12.9 
2,021.2 2,023.56 1.205 1.300 7.88 
2,021.3 2,018.07 1.199 1.254 4.25 
Figure 4

Schematic diagram of grid division of typical section of tunnels.

Figure 4

Schematic diagram of grid division of typical section of tunnels.

Close modal

Project introduction

Project overview

The Qingyuan PSPS is located in Qingyuan County, Lishui City, Zhejiang Province. The main components of the hub project consist of an upper storage reservoir, lower storage reservoir, channel system, underground powerhouses and switching station. The upper reservoir is enclosed as an annulus, with a watershed area of about 4.04 km2 and a total storage capacity of 12.07 million m3. The normal storage level is 1,185.00 m, and the dead water level is 1,164.00 m. The dam is a reinforced concrete face rock-fill dam, with a maximum dam height of 55.8 m and a dam crest width of 10 m. The reservoir bank and dam foundation are impervious with vertical curtain grouting, with a 3.0 Lu anti-seepage standard. The channel system is located in the mountains between the upper and lower reservoirs, with a total length of approximately 2,470 m. It includes two parts: the water diversion system and the tailwater system. The diversion system adopts a straight line form in plane and two inclined shaft arrangements in elevation. The tailwater system is arranged in two folds while the elevation takes the layout type of a flat slope and vertical shaft. The main buildings of the UP system include the main and auxiliary powerhouse, main transformer cavern, tailgate chamber. The three main chambers are in parallel, with three-layer DC around them, which are connected by DH. Similar to the upper reservoir area, the watershed area of the lower reservoir is 7.08 km2. For the lower reservoir, the normal and dead water levels are 681.00 and 639.00 m, respectively, with a total storage capacity of 10.8 million m3. The dam is a reinforced concrete face rock-fill dam, with a maximum dam height of 102 m and a crest width of 10 m. The aerial view and typical section of the hub (along unit #1) are presented in Figures 5 and 6, respectively.
Figure 5

Aerial view of the hub.

Figure 5

Aerial view of the hub.

Close modal
Figure 6

Typical section (along unit #1).

Figure 6

Typical section (along unit #1).

Close modal

Geological overview

The project area is located in southern Zhejiang Province, belonging to a low-medium mountain landform, and the overall terrain is high in the northeast and low in the southwest. The site is characterized by undulating mountains, criss-crossed valleys, denudation and cutting, with narrow river valleys, mostly expressed as canyons. It is situated in the middle and low mountain uplift area (II 2) in the East Zhejiang–Northeast Fujian region of the South China Fold System (II). The stratum composition of the project area is simple (Chen et al. 2020). The lithology is mostly rhyolitic tuff with hard texture (Xing et al. 2017). According to the on-site exploration results, the rock mass at the location of the project area is intact, and the exposed faults are relatively small in scale, without large structural planes developed. The project area is dominated by fault structures, with undeveloped folds. The Grade II structural plane is mainly represented by f2 and f3, the width is generally 2–4 m; and other faults are on a small scale. The details can be seen in Figure 7.
Figure 7

Rose diagram of the major faults in the project area.

Figure 7

Rose diagram of the major faults in the project area.

Close modal

Three-dimensional calculation model

According to the geological conditions and structural arrangement, a 3D finite element calculation model is established. The scope of the model can be indicated as follows: the upper reservoir location is defined as upstream and has an intercept of approximately 4,656 m from upstream to downstream. The distance between the left and right sides of the model is about 2,556 m, which corresponds to the position from the left bank to the right bank of the mountain. In the Z direction, the bottom is truncated at an elevation of 247 m, and the top truncated boundary is the Earth's natural surface, with the highest elevation of 1,155 m. This 3D finite element model was created using ABAQUS, in which six-node prismatic elements were used for a few transition locations, and eight-node hexahedral isoparametric elements were used for foundations and PSPS structures. In the process of establishing the model, to more clearly express the differences in seepage characteristics between different regions, the model is divided into the upper reservoir area, the water transmission and power generation system and the lower reservoir area. According to the different weathering extent of the bedrock, the strata are divided into sections such as faults, intensely weathered layers, weakly weathered layers and slightly weathered layers. The permeability coefficients of each part of the rock mass are shown in Table 2. In addition, according to the structural design scheme (including dams, anti-seepage curtains, underground powerhouses, channels, etc.), the three-dimensional finite element refinement model is established. A total of 356,375 finite element meshes and 202,981 element nodes are generated. The detailed mesh model of the project area is shown in Figure 8.
Table 2

Geotechnical permeability coefficient

Project areaWeathering degreePermeability coefficient (×10−7m/s)Permeability classification
The upper reservoir Weak 4.5 Slightly ∼ weakly permeable 
Slight 1.5 Slightly ∼ weakly permeable 
Water transmission and power generation system Intense 300 Slightly ∼ weakly permeable 
Weak 4.0 Slightly ∼ weakly permeable 
Slight 1.0 Slightly ∼ weakly permeable 
The lower reservoir Weak 4.5 Slightly ∼ weakly permeable 
Slight 1.5 Slightly ∼ weakly permeable 
Faults 300 
Project areaWeathering degreePermeability coefficient (×10−7m/s)Permeability classification
The upper reservoir Weak 4.5 Slightly ∼ weakly permeable 
Slight 1.5 Slightly ∼ weakly permeable 
Water transmission and power generation system Intense 300 Slightly ∼ weakly permeable 
Weak 4.0 Slightly ∼ weakly permeable 
Slight 1.0 Slightly ∼ weakly permeable 
The lower reservoir Weak 4.5 Slightly ∼ weakly permeable 
Slight 1.5 Slightly ∼ weakly permeable 
Faults 300 
Figure 8

Three-dimensional seepage finite element calculation model diagram. (a) Overall three-dimensional seepage finite element calculation grid model of the project area. (b) Schematic diagram of the partial grid section of the underground powerhouse. (c) Schematic diagram of the detailed grid section of the water transmission and generation system.

Figure 8

Three-dimensional seepage finite element calculation model diagram. (a) Overall three-dimensional seepage finite element calculation grid model of the project area. (b) Schematic diagram of the partial grid section of the underground powerhouse. (c) Schematic diagram of the detailed grid section of the water transmission and generation system.

Close modal

Calculation parameters

In the project area of the Qingyuan PSPS, the lithology is intact tuff, which mainly shows the characteristics of slight weathering and low permeability. The overall calculation area consists of three parts: the upper reservoir area, the water transmission and power generation system and the lower reservoir area. According to the results of the field water pressure test, the material parameters are given in Table 2. In addition, the permeability coefficient of anti-seepage curtains is 1 × 10−8 m/s, the permeability coefficient of the concrete structure is 1 × 10−9 m/s and the permeability coefficient of the steel plate lining structure is 1 × 10−13 m/s.

Layout scheme of seepage control measures

The storage capacity of the upper and lower reservoirs of Qingyuan PSPS is 12.07 million m3 and 10.8 million m3, respectively. The main surface runoff in the project area comes from atmospheric precipitation and surface water. In addition, groundwater is often used to maintain runoff during the dry season. In fact, the reservoir storage capacity of the Qingyuan PSPS is small and the recharge from surface runoff is relatively limited. This is a very practical demonstration that a reasonable seepage control scheme needs to be laid out in both the upper and lower reservoir areas to reduce the leakage of water stored in the reservoir basin. In addition, since the electromechanical facilities are all arranged underground, it is necessary to ensure that the seepage control measures around the UP can undertake the anti-seepage task to ensure the safety of the power station.

To investigate the changes in groundwater level during the operation of the Qingyuan PSPS and the effect of seepage control measures on inducing and discharging seepage water, the overall seepage field of the project area is simulated and analysed by a numerical simulation method. Firstly, the initial seepage field is calculated for the unconstructed state of the power station. On this basis, the distribution form of the seepage field is considered under the normal operation state after completion. Additionally, extreme conditions such as the failure of the seepage control measures during the operation process are considered, and a simulation analysis of different seepage control measure layout schemes is carried out. The specific scheme settings are demonstrated in Table 3 (‘√’ represents that the seepage control measures operate normally, ‘ × ’ represents that the seepage control measure is in the failure state). The storage level of the upper reservoir is set as the normal water level (1,185.00 m), while the lower reservoir storage level is set as the dead water level (639.00 m). The upper and lower reservoir anti-seepage curtain is laid at the bottom of the dam base, and the anti-seepage curtain of the UP is located at the tail of the powerhouse. Notably, the drainage measures of the UP include three-layer DC and DH.

Table 3

Calculated schemes of 3D seepage field in the project area

SchemesBrief description of working conditionsAnti-seepage curtain of the upper reservoirAnti-seepage curtain of underground powerhouseDrainage measures of underground powerhouseAnti-seepage curtain of the lower reservoir
S01 Normal operation     
S02 Anti-seepage failure of the upper storage reservoir ×    
S03 Anti-seepage failure of underground powerhouse  ×   
S04 Drainage measures failure of underground powerhouse   ×  
S05 Anti-seepage failure of the lower storage reservoir    × 
S06 Anti-seepage failure at all parts × ×  × 
SchemesBrief description of working conditionsAnti-seepage curtain of the upper reservoirAnti-seepage curtain of underground powerhouseDrainage measures of underground powerhouseAnti-seepage curtain of the lower reservoir
S01 Normal operation     
S02 Anti-seepage failure of the upper storage reservoir ×    
S03 Anti-seepage failure of underground powerhouse  ×   
S04 Drainage measures failure of underground powerhouse   ×  
S05 Anti-seepage failure of the lower storage reservoir    × 
S06 Anti-seepage failure at all parts × ×  × 

Analysis of seepage results

Seepage field

Figure 9 indicates the comparison of the groundwater level equipotential line between the initial state and normal operation conditions. It can be observed that compared with the initial state, when the power station is in normal operation, the groundwater level around the UP exhibits the phenomenon of a ‘water level funnel’. The reason is attributed to the formation of new leakage channels after the completion of UP excavation. In fact, excavation also leads to fluctuations in the surrounding groundwater level.
Figure 9

Comparison of groundwater equipotential distribution in profile A–A of initial state and S01; A–J = 360–990 m, with an interval of 70 m; a–j = 350–1,000 m, with an interval of 50 m.

Figure 9

Comparison of groundwater equipotential distribution in profile A–A of initial state and S01; A–J = 360–990 m, with an interval of 70 m; a–j = 350–1,000 m, with an interval of 50 m.

Close modal

In the case of normal operation, the groundwater level equipotential line bends upstream at the starting position near both the middle and lower flat sections of the diversion pipelines (DP). The reason is the fact that the middle and lower flat sections of the DP are equipped with DC. In other words, due to the effect of DC on draining water, the distribution of the surrounding groundwater level changes, which is reflected as a bent equipotential line.

By comparing the groundwater level equipotential distribution under the two schemes, it can be seen that the groundwater level around the UP in the initial state is 600–650 m, approximately 170 m higher than that under normal operation. The calculation results of S01 reveal that the groundwater diving surface shows a rapid downwards trend on the upstream side due to drainage measures near the powerhouse. At this juncture, the groundwater level at the bottom of the powerhouse is similar to the bottom elevation, indicating that the area of the powerhouse is basically dried out and that there is no seepage. One also should note that the drainage system of the UP can quickly drain the seepage water, ensuring the normal operation of the electromechanical equipment in the powerhouse.

If any seepage control measures are not considered, the upper reservoir, the lower reservoir and the UP are not protected after the completion of the power station. The distribution of the groundwater equipotential line is shown in Figure 10. It can be observed that the groundwater level near the bottom of both the upper and lower reservoirs has risen to a certain extent, which signifies that the anti-seepage curtains in reservoir areas can play a distinct role in blocking seepage. Meanwhile, the underground water level near the UP is about 500 m, which has risen by nearly 70 m compared with S01. However, the water level has increased compared with the initial state. The reason for this phenomenon could be that the powerhouse acts as a leakage channel, which can reduce part of the waterhead near the powerhouse. On the other hand, considering the safe operation of electrical equipment in the powerhouse, it is crucial that the various anti-seepage measures are effective.
Figure 10

Distribution of groundwater equipotential in profile A–A without considering any seepage control measures; A–J = 370–1,000 m, with an interval of 70 m.

Figure 10

Distribution of groundwater equipotential in profile A–A without considering any seepage control measures; A–J = 370–1,000 m, with an interval of 70 m.

Close modal
Comparing the seepage field under different calculation schemes, it can be observed that the overall seepage field pattern changes are basically the same. The maximum hydraulic gradient at the anti-seepage curtains is calculated under different schemes, namely, the anti-seepage curtain of the upper reservoir (ASCUR), the anti-seepage curtain of the lower reservoir (ASCLR) and the ASCUP. The results are presented in Figure 11. In the initial state, the maximum hydraulic gradient of the above locations is 0.55, 2.31 and 0.89, respectively. For the normal operation of seepage control measures (S01), the above values change accordingly to 1.98, 3.23 and 2.41. As impoundment begins in the reservoir basin, the groundwater level at the bottom of the upper and lower reservoirs rises slightly. Correspondingly, the hydraulic gradient at the anti-seepage curtains will increase. In addition, due to the effect of the drainage system around the UP, the waterhead difference on both sides of the ASCUP will increase. This phenomenon leads to a slight increase in its hydraulic gradient. In another case, the hydraulic gradient at each curtain will be reduced while all the anti-seepage curtain fails. The main reason is that the curtains lose their function of preventing seepage water. It is noteworthy that the hydraulic gradient at the ASCUP increases significantly when the drainage measures around the powerhouse fail (S04). This is because the seepage water around the powerhouse cannot be drained in a timely manner. In summary, for all calculation cases, the hydraulic gradient at ASCUP is the largest, followed by ASCLR, and the hydraulic gradient at ASCUR is the smallest. Simultaneously, the hydraulic gradient of all anti-seepage curtains does not exceed the allowable hydraulic gradient (Sun 2004). In this instance, no seepage damage will occur, which means that the seepage stability of the structure can be guaranteed.
Figure 11

Hydraulic gradient of anti-seepage curtain at each part.

Figure 11

Hydraulic gradient of anti-seepage curtain at each part.

Close modal

Note: When the impermeability standard is 3Lu, the allowable infiltration slope drop of the impermeable curtain is 10 (Sun 2004).

Leakage volume

The leakage volumes of the upper reservoir basin (URB), lower reservoir basin (LRB), UPUP, DC, DH, DP and tailwater tunnels (TT) under the above schemes are calculated and analysed as expressed in Figure 12. In the case of scheme S01, the leakage volumes of the URB, LRB and UP were 1,104.39, 791.87 and 447.85 m3/day, respectively. The leakage volumes of the upper and lower reservoir basins were 0.0091 and 0.0073% of the total storage capacity, respectively, which were less than 0.2‰ of the total storage capacity and in accordance with the seepage control requirements (DL/T 5016-2011). Assuming that the anti-seepage curtain of the upper reservoir failed (S02), which means the permeability coefficient of the anti-seepage curtain is the same as that of the surrounding rock mass. Under this circumstance, the leakage volume of the URB increased to 2,540.10 m3/day, which is approximately 2.3 times that of the normal operation condition, while the leakage volume of the LRB is the same as the value of S01. Similarly, in the case of the ASCLR failure, the leakage volume of the LRB increased to 2,716.04 m3/day, which is approximately 3.4 times that of the normal operation condition, while the leakage volume of the URB was not affected. It is indicated that the anti-seepage curtains of both the upper and lower reservoirs can effectively reduce the leakage volume of the reservoir basin. One should be noted that the interaction of structures far away from each other is very limited. In fact, the effectiveness of the anti-seepage curtain of the upper and lower reservoir will also have a certain impact on the leakage of the UP. For the failure of the upper reservoir curtain, the leakage volume of the UP increased to 101.1% of the normal operation condition. However, this value increased to 128.45% when the lower reservoir curtain failed. This indicates that the failure of the anti-seepage curtain at the lower reservoir has a greater impact on the leakage of the UP than the upper reservoir. The reason might be that the lower reservoir area is closer to the UP.
Figure 12

Statistical chart of leakage volume of each part: (a) URB; (b) LRB; (c) UP; (d) DC; (e) DH; (f) DP; (g) TT.

Figure 12

Statistical chart of leakage volume of each part: (a) URB; (b) LRB; (c) UP; (d) DC; (e) DH; (f) DP; (g) TT.

Close modal

For the UP, when all the seepage control measures are in normal operation, the total leakage volume of the powerhouses is 447.85 m3/day. When the UP anti-seepage curtain fails, its total leakage volume increases to 1,337.18 m3/day, which is about three times that of the normal operating condition. Correspondingly, when the drainage measures around the UP fail, its total leakage volume increases to 3,472.41 m3/day, which is about 7.7 times that of the normal operating condition. This result indicates that the seepage control measures around the UP can have a positive effect in blocking and discharging seepage water. Meanwhile, they also reduce the possible seepage water of the UP effectively. In contrast, drainage measures have a greater impact and play a vital role in the normal operation of the electrical facilities of the powerhouse. At this juncture, the leakage volume of the upper and lower reservoir basins will also change with the state of the seepage control measures around the powerhouse. When the ASCUP fails, the leakage volume of the upper and lower reservoir basins increases to 101.5 and 112% of the normal operation condition, respectively. Correspondingly, in the case of the drainage measures of the powerhouse failure, the above values increase to 102 and 114.9%, respectively. In conclusion, the total leakage volume of the UP is mainly related to the seepage control measures around the powerhouse. The impact caused by the failure of drainage measures is greater than that of the anti-seepage curtain. Notably, the working state of the seepage control measures around the UP can also be reflected in the variation in the leakage volume in the upper and lower reservoir basins. Due to the influence of distance, the impact on the leakage volume of the lower basin is greater than that of the upper basin.

As can be seen from Figure 12, the DC and the DH around the powerhouse both undertake important drainage tasks under different operating conditions. This means that they can effectively drain water around and inside the powerhouse. It is noteworthy that the leakage volume of the channel system is relatively stable under different cases, while the leakage of TT is greater than that of DP. The maximum leakage volume of the channel system occurs under scheme S03. Compared with the normal operation condition, the leakage volume of the DP and the TT increase by 10 and 13%, respectively.

To investigate the effect of changes in the storage level of the upper and lower reservoirs on the leakage volume in each part, the storage level of one reservoir was controlled to change and that of the other reservoir was kept constant during the calculation. Different reservoir storage levels are set as follows: (a) the upper reservoir is the normal storage level of 1,185.00 m, and the lower reservoir is the dead water level of 639.00 m (ND); (b) the upper reservoir is the dead water level of 1,164.00 m, and the lower reservoir is the dead storage level of 639.00 m (DD); and (c) the upper reservoir is the normal storage level of 1,185.00 m, and the lower reservoir is the normal storage level of 681.00 m (NN). After the change in storage level in the upper and lower reservoirs, the leakage volume of each part under normal operation is shown in Figure 13. It can be observed that when the storage level of the upper reservoir area is 1,164.00 m, the leakage volume of the URB decreases to 788.85 m3/day, about 71.4% of the normal water level. However, the change in the storage level of the upper reservoir has a feeble influence on the leakage volume of the UP and LRB. When the storage level of the lower reservoir is 681.00 m, the leakage volume of the LRB increases to 1,244.37 m3/day, which is about 151% of that under dead water level conditions. Similarly, the change in the storage level of the lower reservoir mainly affects the leakage of the LRB and does not cause a significant increase in the leakage of the URB and UP.
Figure 13

Leakage volume of each part under different water storage levels.

Figure 13

Leakage volume of each part under different water storage levels.

Close modal

In summary, the leakage volume of the UP is mainly affected by the seepage control measures around the powerhouse. Simultaneously, the state of the upper and lower reservoir areas will cause corresponding changes in the UP. Among them, the effect caused by the upper reservoir such as the change in water level and the failure of the anti-seepage curtain is the weakest. In contrast, the operation status of the drainage measures around the powerhouse has the most obvious impact.

External water pressure

In order to ensure the normal operation of the diversion and TT, seepage control measures such as grouting rings, concrete linings and steel plate linings are equipped in the channel system from outside to inside. In terms of normal operation (S01), the distribution of the external water pressure on profile A–A is shown in Figure 14. Overall, the change in external water pressure on profile A–A is relatively gentle. As a result of the significant difference in the permeability coefficient between the fault location and the surrounding rock mass, the external water pressure contour will show an abrupt change at the fault location. It is revealed that most of the channel system is located below the free face. Owing to the joint action of drainage measures around the powerhouse and DC of DP, the external water pressure along the channel system ranges between 0 and 1.6 MPa. As expected, these measures effectively reduce the external water pressure required at the actual burial depth.
Figure 14

External water pressure distribution map of profile A–A in S01; A–J = 0.0–7.2 MPa, with an interval of 0.8 MPa.

Figure 14

External water pressure distribution map of profile A–A in S01; A–J = 0.0–7.2 MPa, with an interval of 0.8 MPa.

Close modal
The calculation results of typical longitudinal profiles at different locations are extracted along the channel system, and the external water pressure on the linings and grouting rings is presented from inside to outside. The outcomes are shown in Figure 15. It is noteworthy that the external water pressure on the wall rock along the channel system is approximately 1 MPa. Nevertheless, because of the function of the multiple seepage control measures, the external water pressure of the channel system gradually decreases from the outside to the inside. In other words, the external water pressure on the lining position is significantly reduced with the protection of grouting rings. As a result, the risk of cracking the lining due to excessive external water pressure is greatly reduced.
Figure 15

Schematic diagram of external water pressure distribution in typical longitudinal sections.

Figure 15

Schematic diagram of external water pressure distribution in typical longitudinal sections.

Close modal
The external water pressure on the lining along the channel system in S01 is revealed in Figure 16. The position where the diversion pipeline lining bears the maximum external water pressure is the position where it crosses fault F3, showing a downwards trend along the route. The maximum external water pressure borne by the steel plate lining is approximately 0.7 MPa, which occurs at the inclined shaft connecting the middle and lower flat sections. Meanwhile, a large external water pressure appears at the entrance of the high-pressure steel pipe, with a maximum value of 0.9 MPa. With the effect of drainage measures around the UP, the external water pressure at the end of the DP drops to 0. On the whole, the overall external water pressure of the TT is greater than that of the DP, mainly caused by the deeper burial depth of the tailwater tunnel section. Simultaneously, no drainage measures have been equipped along the tailwater tunnel, which is also attributed to this result. The results demonstrated that the maximum external water pressure of the TT occurs near the bend, with a maximum value of 1.19 MPa. From the calculation results, it can be indicated that the external water pressure on the lining part is significantly reduced under the protective effect of grouting rings. In other words, these measures can ensure the normal function of the lining. At the same time, the probability of leakage due to lining cracking is reduced to ensure the normal and safe operation of the channel system.
Figure 16

External water pressure distribution outside the extension line of the waterway system (Unit: MPa).

Figure 16

External water pressure distribution outside the extension line of the waterway system (Unit: MPa).

Close modal

Parameter sensitivity analysis

It is considered that the anti-seepage curtains are in a complete failure state for the above calculation cases. However, under actual engineering conditions, the possibility of complete failure of the anti-seepage curtain is rare. Therefore, it is necessary to analyse and study the impact on the seepage field when partial failure of the anti-seepage curtain occurs. In this section, 0, 30, 50, 80 and 100% failure rates of the anti-seepage curtains are set for the upper reservoir area, UP and lower reservoir area, respectively. The curtain permeability coefficients after failure are calculated as follows (Miao et al. 2022).
(10)
where is the curtain failure rate, is the initial permeability coefficient of the anti-seepage curtain and is the permeability coefficient of the surrounding wall rock. The calculation results reveal that although the curtain failure rate gradually increases, the distribution characteristics of the seepage field are almost equal to those under normal operating conditions. Its underlying reason is that the DH and DC around the UP carry a very important drainage role. In other words, these measures will weaken a considerable part of the waterhead and play a dominant role in controlling the seepage field behind the curtain of the powerhouse. As a consequence, the change in the anti-seepage curtain will not cause a drastic change in the groundwater equipotential distribution. However, with the gradual failure of the powerhouse curtain, the leakage volume in DH and DC is also increasing. When the curtain of the UP failed by 30%, the leakage volume of DH increases by 75.1% compared with the normal operating condition, and the leakage volume of DC increases by 47.6%. When the curtain of the UP failed by 50%, the leakage volume of DH increases by 151.6%, and the leakage volume of DC increases by 161.7%. However, when the curtain of the UP failed by 80%, these two values increased to 372.0 and 316.1%, respectively. Meanwhile, the failure of the powerhouse curtain is also accompanied by a continuous increase in the leakage volume inside the powerhouse. In summary, the findings of this study highlight the significance of blocking water with a powerhouse curtain. In addition, the curtain is closely related to reducing the leakage volume of the DH and DC around the UP.
The changes in leakage volume arising from the failure of anti-seepage curtains are indicated in Figure 17. When the percentage of curtain failure gradually increases, the leakage volume at the corresponding location shows a nonlinear increasing trend. For example, in the case of the upper reservoir anti-seepage curtain failing, the leakage volume of the URB gradually increases by 22.1, 49.01, 89 and 130% of normal operated conditions. Likewise, for the failure of the lower reservoir anti-seepage curtain, the leakage volume of the LRB gradually increases by 33.53, 92.07, 148.71 and 242.99% of the normal operating condition.
Figure 17

Relationship between leakage volume of each part and curtain failure rate; (a) the failure of upper reservoir curtain; (b) the failure of underground powerhouse curtain; (c) the failure of lower reservoir curtain.

Figure 17

Relationship between leakage volume of each part and curtain failure rate; (a) the failure of upper reservoir curtain; (b) the failure of underground powerhouse curtain; (c) the failure of lower reservoir curtain.

Close modal

Notably, it can also be demonstrated that when the anti-seepage curtains of the upper and lower reservoirs fail, the influence on the leakage volume of the UP, DC and DH is very limited. Additionally, the effect caused by the lower reservoir anti-seepage curtain on the above positions is slightly greater than that of the upper reservoir area. To summarize, in terms of this engineering condition, different areas at far distances have less interaction with each other. Meanwhile, the anti-seepage curtains at different locations play an obvious role in reducing the leakage volume at the corresponding sites. As a result, during the construction and operation of PSPSs, it is recommended to strengthen the patrol inspection of the project area to ensure that the failure of the anti-seepage curtains is found and reinforced in time, so as to reduce leakage in the project area and improve the operational efficiency of the power station.

By establishing a 3D finite element seepage calculation model of the Qingyuan PSPS, a 3D numerical simulation of the large-scale seepage field was conducted, and the effects of various seepage control measures in the project area were assessed. Simultaneously, the distribution of the seepage field, leakage volume and external water pressure under different deployment schemes of seepage control measures are analysed. More importantly, we evaluated the seepage characteristics of the Qingyuan PSPS and obtained the following conclusions:

  • (1)

    For normal operating conditions, the underground water level of the powerhouse is in accordance with the bottom elevation, which proves that the drainage measures are conducive to rapidly draining the seepage water from the powerhouse. In terms of different calculation conditions, the hydraulic gradient at anti-seepage curtains is less than the allowable hydraulic gradient, which can ensure the seepage stability of the structure.

  • (2)

    In the case of damage to seepage control measures in the study area, the leakage volume at the damage locations will increase significantly, but the interactions among them are very limited. For example, when the ASCUR fails, the leakage volume of the URB will increase to 2.3 times that of the normal operation, while the leakage volume of other typical locations will not be affected. One should also note that the leakage volume of the UP is mainly affected by the seepage control measures nearby. Especially the influence brought by the availability of drainage measures.

  • (3)

    Most of the channel system is located below the free face of the groundwater. That means the tunnels need to undertake the external water pressure to a certain degree. From the results of longitudinal profiles at different locations, it can be highlighted that the external water pressure at the lining location is significantly reduced under the protection of the grouting ring, which can ensure the normal function of the lining.

  • (4)

    Considering the partial failure of anti-seepage curtains, the percentage of curtain failure is set as 0, 30, 50, 80 and 100%. When the failure rate of the anti-seepage curtain at each part is increasing, the corresponding leakage volume of the URB will add up to 22.1, 49.01, 89 and 130%, respectively; the leakage volume of the LRB will increase to 3.53, 92.07, 148.71 and 242.99%. On the other hand, the failure of the powerhouse curtain will cause a significant increase in the leakage of DH, DC and caverns. In summary, the findings of this study highlight the significance of anti-seepage curtains to prevent water seepage, which means that the failure of curtains should be found and handled in a timely manner to guarantee the safety of the power station.

The authors gratefully acknowledge the support of the Natural Science Foundation of Tianjin (21JCYBJC00410).

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

The authors declare there is no conflict.

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