Conventional methods of treating zinc and copper have the disadvantages of secondary contamination and complex control processes. This paper investigates the removal characteristics of gas–liquid mixed dielectric barrier discharge (DBD) in high-concentration copper–zinc groundwater. The study combines numerical simulation and experimentation to analyze the effects of discharge power, initial pH, gas flow rate, and liquid flow rate on copper and zinc removal rates. The results show that a better gas–liquid mixing distribution can be achieved when the inlet flow rate is 40 L/min and the inlet flow rate is below 200 mL/min. The removal of Cu can be up to 98.68% and Zn up to 96.28% when the discharge power is 56 W and the initial pH is 11. The optimum treatment time for Cu2+ is 3–6 min, while the best copper removal occurs at a gas flow rate of 20–30 L/min and a liquid flow rate of 100 mL/min. It was found that the optimum treatment time for Zn2+ was different for different process parameters, mainly in the range of 9–12 min, which needs to be noted in future production applications. Therefore, DBD can efficiently eliminate copper and zinc ions from groundwater to meet environmental discharge standards.

  • Simulation of DBD gas–liquid two-phase mixed flow using the volume of fluid model.

  • The simulation results are less effective when the liquid flow rate is greater than 200 mL/min.

  • The removal of zinc and copper from groundwater was investigated.

  • Analysis of the effect of individual factors on the removal of copper and zinc.

  • DBD removed up to 98.68% of the Cu2+ and 96.28% of the Zn2+.

In recent years, the dielectric barrier discharge (DBD) technology, as a new advanced oxidation technology, has been widely studied and applied in the direction of water treatment due to its low energy consumption and environmental advantages (Van Nguyen et al. 2020; Shao et al. 2023). DBD has the advantages of high efficiency, rapidity, no chemical additives, and no secondary pollution in the treatment of industrial wastewater and domestic sewage. Coaxial DBD reactors have the advantage of stable and uniform discharge. However, the narrow discharge gap results in a more complex flow field within the discharge region. Effective gas–liquid mixing distribution in the discharge area enhances the removal efficiency of copper and zinc ions from water treated with DBD in high copper and zinc groundwater. Therefore, enhancing gas–liquid mixing distribution in the discharge area is crucial for utilizing the DBD reactor in treating high copper and zinc groundwater. In studies examining gas–liquid mixing in microchannel flow fields, Chekifi (2018) explored droplet generation in a conical coaxial flow structure microfluidic device under low Reynolds number conditions. Li et al. (2021) utilized Fluent software to simulate and analyze the cleaning efficacy of gas–liquid mixing jets from the nozzle to acquire the flow field distribution of the nozzle. Zheng et al. (2022) employed the volume of fluid (VOF) model to investigate the distribution pattern of the internal flow field of the water ring vacuum pump and achieved the assisted production of a new type of water ring vacuum pump. Based on the simulation outcomes, various types of pollutants can be accurately treated by adjusting the parameters and conditions of plasma discharge. In the research design of DBD reactor types, of note is the removal of tramadol analgesia from deionized water and final wastewater by Babalola et al. (2023) using a novel continuous flow DBD reactor. Zhang et al. (2018) designed a novel gas–liquid two-phase DBD reactor to treat phenol in water, using a tube covered with copper foil as a high-voltage electrode and a grounding electrode to increase the contact area between the plasma and the pollutant molecules, and the removal rate of phenol was 95.5%, which proved that hydroxyl radicals are the main active substances for removing phenol. In a process parameter study, Iervolino et al. (2019) investigated the effect of air flow rate, applied voltage, and type of process gas on the removal of several aqueous pollutants (methylene blue, phenol, paracetamol, caffeine, and ceftriaxone). In studies using DBD technology in combination with other techniques to treat target contaminants, Tang et al. (2012) combined DBD technology with integrated granular activated carbon (GAC) preconcentration to remove bisphenol A from water, and the experimental results showed that the adsorption capacity of DBD regenerated GAC could be maintained at a high level. The results of the study by Van Nguyen et al. (2020) show that a combination of DBD technology and other water treatment technologies can effectively treat groundwater to meet drinking water standards.

Groundwater is an essential source of drinking water in China, and the safety of water quality is a constant concern for the health of the residents (Chomba et al. 2022). According to the ‘Standards for Drinking Water Quality (GB5749-2022)’ in China (NHCC 2022), the standard limits for copper and zinc in groundwater are both 0.1 mg/L. However, in recent years, the groundwater in most cities in China has been seriously polluted, the water source has been decreasing, and the water quality is deteriorating (Chen 2020). Heavy metals are not only a serious environmental hazard but also pose several problems for human health. The problem of heavy metal pollution of water bodies is becoming more and more prominent and has received widespread attention (Badruddoza et al. 2013; Abtahi et al. 2017). There is increasing pollution of groundwater by copper and zinc heavy metals. The main causes of excessive copper and zinc levels in groundwater in China include industrial pollution, agricultural activities, landfills, geological conditions of groundwater, and improper sewage treatment. Long-term consumption of groundwater containing high levels of copper and zinc may cause acute or chronic poisoning of the human body, leading to digestive discomfort, organ damage, imbalance of trace element balance, and even affect the functioning of the nervous system and immune system (Ahmed et al. 2016; Bawuro et al. 2018; Abtahi et al. 2023). Various techniques have been used to remove Cu2+ and Zn2+ from water, such as adsorption (Yang et al. 2019), chemical precipitation (Yu et al. 2020), membrane filtration (Deng et al. 2020), and electrochemical deposition. Currently, the common methods are adsorption and precipitation. Adsorption of copper ions by anisotropic PVA wood-based hydrogels with 77.27% adsorption rate was demonstrated by Sun et al. (2024). Ferreira et al. (2019) used white beans (Phaseolus vulgaris L.) as a sorbent for the removal of zinc from rainwater with a removal rate of 63%. Precipitation, as a commonly used method for removing heavy metals from water, is effective but suffers from the disadvantages of generating slag that is difficult to dispose of, becoming affected by water quality, inconvenient for pH adjustment, expensive, and not allowing resource recovery. These methods prove to be costly and uneconomical, and are less effective in eliminating heavy metals.

DBD aims to address the shortcomings of traditional methods for removing zinc and copper in wastewater treatment, such as low removal efficiency, harsh operating conditions, the possibility of secondary pollution, and poor recovery rates. By improving the efficiency and effectiveness of zinc and copper removal, the technology hopes to promote environmental protection and resource recycling. In this paper, DBD generates low-temperature plasma to treat groundwater with high copper and zinc content; the gas–liquid distribution law of a gas–liquid hybrid DBD reactor and the mechanics of copper and zinc in groundwater was further analyzed to investigate in detail the effects of process parameters such as discharge power, initial pH value, gas flow rate, liquid flow rate, and dosage rate on the removal rate of copper and zinc ions in the hope of providing theoretical support for the application of low-temperature plasma technology in the treatment of groundwater.

Instruments and reagents

Instruments: DBD reactor (Discharge length: 150 mm), CTP-2000K low-temperature plasma experimental power supply (Voltage: 0–30 kV; Discharge frequency: 5–20 kHz), two-stage 980 oil-free air compressor (Gas flow range: 0–80 L/min), FBⅠ/MN3 peristaltic pump (Flow: 50–570 mL/min), FM-6 gas flow meter (Measure range: 0.1–1 L/min), FM-6 liquid flow meter (Measure range: 100–500 mL/min), MSO5072 oscilloscope (Analog bandwidth: 70 MHz), B01 electronic (Balance accuracy: 0.001 g), flame atomic absorption spectrometer (FAAS), and portable pH meters (Accuracy: ±0.1pH).

Reagents: CuSO4·5H2O (Purity: 99%), ZnSO4·7H2O (Purity: 99%), and NaOH (Purity: 96%).

Experimental setup

The experimental system is shown in Figure 1 and consists of a DBD reactor, a plasma power supply, an air compressor, a peristaltic pump, and other instruments. The discharge width of the DBD reactor is 150 mm, and the single-side discharge gap is 6 mm. The highest discharge voltage of the plasma power supply can reach 30 kV.
Figure 1

Schematic diagram of the experimental setup.

Figure 1

Schematic diagram of the experimental setup.

Close modal

All experiments were conducted in 2023–2024 at laboratories of universities and companies in Xinjiang based on effluent data provided by Xinjiang De'an Environmental Protection Technology Company, with the following experimental setup:

  • (1) Before the experiment, distilled water was used to clean the beaker and the fluid channel inside the dielectric blocking discharge reactor, which were dried for use. After drying, the low-temperature plasma power supply was turned on for 30 min before the experiment to warm up, and then the oscilloscope was turned on. The center frequency of the power supply needs to be adjusted to 10 kHz.

  • (2) CuSO4·5H2O and ZnSO4·7H2O were dissolved and diluted in deionized water to simulate the high concentration of copper and zinc groundwater, then the simulated high zinc–copper groundwater was taken in a beaker for subsequent discharge treatment. The beaker was covered to prevent splashing of the liquid.

  • (3) The discharge gas uses air supplied by the air compressor. Hence, the air compressor was turned on, the flow rate at the outlet was adjusted to the required flow rate, and then the gas flow meter was adjusted to stabilize the gas flow rate.

  • (4) After the gas flow rate was stabilized, the peristaltic pump was opened and the liquid flow rate was adjusted to the required flow rate, following which the liquid flow meter was adjusted to stabilize the liquid flow rate.

  • (5) After the gas flow and liquid flow were stabilized, the contact regulator was twisted to adjust the discharge voltage to the required voltage, and the discharge voltage and voltage were recorded with an oscilloscope for subsequent calculation of the discharge power.

  • (6) The experimental procedure involved measuring and recording the changes in concentration at regular intervals, taking an appropriate amount of the treated sample, and filtering out the resulting precipitates, Cu(OH)2 and Zn(OH)2.

It should also be noted that the total treatment time for Cu and Zn was 15 min and the sampling interval was 3 min. Samples were taken at regular intervals, and the precipitate was filtered and tested for the amount of copper and zinc ions remaining in the water. The amount of copper and zinc in solution was determined by flame atomic absorption spectrometry. Standard solutions of copper at 0, 1, 2, 3, 4, and 5 mg/L were prepared and the concentrations of the standard solutions were determined by flame atomic absorption spectrometry. The regression equation of the standard curve for copper and zinc was y = 0.1062x − 0.0668 with the correlation coefficient R2 = 0.9535 and that of the standard curve for zinc was y = 0.1271x + 0.3671 with the correlation coefficient R2 = 0.8694. From the correlation coefficients of the regression equations of the standard curves of copper and zinc, it can be seen that the concentration and absorbance of copper and zinc show a good linear relationship within a certain range.

The calculation of copper and zinc removal rates is as follows:
(1)
where μ is the removal rate; C0 is the initial concentration of copper and zinc; and Ct is the concentration of copper and zinc when discharging for t minutes.

Experimental design

The single-factor experiment was designed to study the effect of different process parameters on the removal of copper and zinc. The different discharge power and initial pH are examined to accommodate the complex environmental changes in actual production processes. The factor levels are presented in Table 1.

Table 1

Process parameter level

ParametersCu2+Zn2+
Discharge power (W) 56, 94, 138 58, 94, 129 
Gas flow rate (L/min) 20, 30, 40, 50 20, 30, 40, 50 
Liquid flow rate (mL/min) 100, 200, 300, 400 100, 200, 300, 400 
Initial pH 9, 10, 11, 12 9, 10, 11, 12 
ParametersCu2+Zn2+
Discharge power (W) 56, 94, 138 58, 94, 129 
Gas flow rate (L/min) 20, 30, 40, 50 20, 30, 40, 50 
Liquid flow rate (mL/min) 100, 200, 300, 400 100, 200, 300, 400 
Initial pH 9, 10, 11, 12 9, 10, 11, 12 

Mechanistic analysis

The relative degree of oxidizing or reducing properties of a medium is characterized by the oxidation reduction potential (ORP), and it reveals the total oxidizing capacity of various substances in solution, which is an important indicator in water treatment. The ORP value of the solution was measured by an ORP meter with increasing discharge treatment time, as shown in Figure 2(a). The increasing ORP value of the solution indicates that a large amount of oxidized material was produced in the plasma-treated water.
Figure 2

(a) ORP value of the solution and (b) ozone concentration in solution.

Figure 2

(a) ORP value of the solution and (b) ozone concentration in solution.

Close modal

Ozone (O3) is an oxidizing agent with strong oxidizing properties, which is produced in the discharge plasma reaction mainly through the process of ionization and recombination of oxygen molecules. Ozone can quickly diffuse in the plasma channel and diffuse into the water through the catalytic tube, part of the ozone molecules dissolve in the water and have a direct oxidation reaction with the organic matter, and part of the ozone molecules and water molecules combine to generate more oxidizing –OH. Ozone can react with metal ions in water by oxidizing them to higher valence forms such as hydroxides and oxides. These oxidation products usually have low water solubility and tend to form precipitates or solids that can be separated from water by precipitation, filtration, and so on. Ozone was detected by a portable ozone detector, and as can be seen in Figure 2(b), the amount of ozone in the water gradually increased as the discharge time increased.

The high-energy electrons generated during the mass-barrier discharge process will have inelastic collisions with water molecules and gases to trigger the excitation and ionization of water molecules and gases, thus generating a large number of reactive particles and high-energy electrons such as –OH, –O, H2O2, and O3:
(2)
(3)
(4)
(5)
(6)
These active particles oxidize Cu2+ and Zn2+ in solution to Cu(OH)2 and Zn(OH)2 precipitates, respectively:
(7)
(8)
(9)
(10)

Discharge power analysis

Discharge power is an important parameter in the discharge process of dielectric barriers. By analyzing the discharge power and power supply efficiency, the DBD system can be optimized to achieve efficient removal and energy yield. The formulae for calculating the input power, the discharge power, and the output efficiency of the power supply are as follows:
(11)
(12)
(13)
The discharge voltage and current waveforms are shown in Figure 3(a), and the Lissajou graph is shown in Figure 3(b) under the condition where the power supply input voltage is 90 V for Cu2+ and Zn2+. The peak-to-peak discharge voltage at this point is 3.92 kV, with an effective voltage of 0.74 kV. The burr in the current waveform reflects the presence of a pulsed discharge during the experiment, with a peak pulse discharge of 13.8 mA.
Figure 3

(a) Discharge voltage and current waveforms and (b) Lissajou graph.

Figure 3

(a) Discharge voltage and current waveforms and (b) Lissajou graph.

Close modal

Reactor geometry modeling and meshing

Based on the physical object of the existing DBD reactor in the laboratory, a three-dimensional model of the internal fluid channels of the reactor was created in SOLIDWORKS, and Fluent was employed for simulation and modeling. The gas–liquid two-phase mixed flow length in the reactor is 369 mm, the discharge length is 150 mm, the unilateral discharge gap is 6 mm, and the diameters of the water inlet, the air inlet, and the flow outlet are all 6 mm. A schematic representation of the physical model of the reactor is depicted in Figure 4(a). It can be seen that the gas and liquid enter into the interior of the reactor from the air inlet and the water inlet, respectively, and mix and flow inside the reactor, and when passing through the discharge area, the gas is ionized into an active substance, which can remove copper ions and zinc ions from the water, and then comes out from the flow outlet. The established 3D model of the fluid channels inside the reactor was meshed using the Workbench platform with an unstructured tetrahedral mesh and an initial cell size of 2 mm. To ensure calculation accuracy, the grids of the inlet, outlet, and flow outlet regions are refined, the cell size is set to 1 mm, and the refined grid model is shown in Figure 4(b).
Figure 4

(a) Schematic representations of the physical model of the reactor and (b) mesh model of the reactor.

Figure 4

(a) Schematic representations of the physical model of the reactor and (b) mesh model of the reactor.

Close modal

Control equations and boundary conditions

The calculations were performed using the VOF mixed multiphase flow model, considering the effect of gravity, which is oriented in the negative direction along the Z-axis. The flow field needs to satisfy both conservation of mass and conservation of momentum, and the governing equations of the flow field are the continuity and momentum equations. The Reynolds number is an important parameter for distinguishing the state of motion of a fluid and is calculated by the following equation:
(14)
where Re is the Reynolds number; ρ is the density of the fluid, with water density at room temperature and pressure being 1,000 kg/m3; V is the velocity of the fluid; L is the characteristic length; μ is the dynamic viscosity of the fluid, and the dynamic viscosity of water is 0.001 kg/(m s) at room temperature and pressure. Under the experimental conditions, the Reynolds number of water is calculated to be about 2.2 × 104, which is greater than 8,000, so the flow field belongs to the turbulent flow field, and the standard k-ε turbulence model is selected. Consistent with Zheng et al. (2022) who used the VOF model to simulate gas–liquid two-phase flow in water ring vacuum pumps, and the standard wall function is used for the near-wall treatment.

By setting different gas–liquid boundary conditions to analyze the influence law of gas flow rate and liquid flow rate on the gas–liquid distribution in the reactor, we get the best gas–liquid mixing distribution effect. Both the air inlet and the water inlet are set up as velocity inlets and the flow outlet is set as the outflow boundary. The wall surface is set to a smooth wall surface. The gas is supplied by an air compressor, the rated exhaust pressure of the air compressor is 0.7 MPa, so the pressure at the inlet is set to 0.7 MPa, and the flow rate parameters of the inlet and the liquid inlet are shown in Table 2.

Table 2

Gas–liquid flow parameters

Gas flow/(L/min)Liquid flow/(mL/min)
20 100 
30 200 
40 300 
50 400 
Gas flow/(L/min)Liquid flow/(mL/min)
20 100 
30 200 
40 300 
50 400 

Influence of the gas flow rate

The gas flow rate is a key parameter, and the size of the gas flow rate can affect the degree of collision between gas–liquid microelements, which in turn affects the degree of gas–liquid mixing, so a reasonable selection of the gas flow rate can be optimized to optimize mixing effects. In the simulation, the gas flow rates of 20, 30, 40, and 50 L/min were set, and the corresponding inlet flow rates were 11.79, 17.68, 23.58, and 29.47 m/s, respectively. As the volume fraction of water gets closer to 0.5, it indicates a better gas–liquid mixing in the discharge region. This is because the gas–liquid mixing is better when the volume fraction of water is close to 0.5, which can realize the stability of the flow, improve the efficiency of heat and mass transfer, and also reduce the inhomogeneity in the flow. The velocity distribution cloud diagram of the discharge region at different flow velocities at the air inlet is shown in Figure 5, it can be seen that when the flow velocity at the air inlet is increased from 11.79 to 29.47 m/s, the maximum flow velocity in the discharge region is increased from 1.42 to 3.6 m/s, and the flow velocities at the left and right sides of the discharge region are not equal. Figure 6 shows the velocity changes in the X and Z directions of the discharge region when the flow velocity at the inlet is 23.58 m/s. The flow velocity on the left side of the discharge region is below 2.5 m/s, and the flow velocity on the right side is above 2.5 m/s. There is a velocity difference between the left and right sides of the discharge region, which is due to the fact that the flow velocity of the liquid is smaller than that of the gas and the liquid is mainly distributed on the left side. Figure 7 shows a cloud plot of the distribution of the volume fraction of water at different flow rates at the inlet, from which it can be seen that the range of distribution of the liquid decreases with the increase of the gas flow rate at the inlet. The main reasons for the narrowing of the liquid distribution range as a result of increasing the gas flow rate include factors such as increased shear, greater gas–liquid interactions, turbulence effects, reduced liquid retention, and changes in local pressures and velocities. The abovementioned factors work together to make the distribution of the liquid in the gas flow become more concentrated, resulting in a narrower distribution range. When the gas flow rate at the inlet is lower than 23.58 m/s, the liquid is mainly distributed on the left side of the discharge region and close to the left wall, and when the gas flow rate at the inlet is 29.47 m/s, the liquid is distributed on both sides of the discharge region. When the gas flow rate at the inlet is 11.79 and 17.68 m/s, the volume fraction of the liquid in the discharge region can reach a maximum of 1, indicating the presence of liquid droplets in the discharge region and poor gas–liquid mixing. When the flow rate at the inlet is increased to 23.58 m/s, the volume fraction of the liquid in the discharge region is maximized at around 0.7, indicating that the gas–liquid mixing is improved from before. Continuing to increase the inlet flow rate to 29.47 m/s, the liquid volume fraction in the discharge region is around 0.3. Therefore, the gas flow rate should be set at about 23.58 m/s when working, which is favorable for gas–liquid mixing in the discharge area and applied to improve the removal rate of copper and zinc ions.
Figure 5

Cloud view of fluid velocity distribution in the discharge region.

Figure 5

Cloud view of fluid velocity distribution in the discharge region.

Close modal
Figure 6

(a) Z-direction velocity in the discharge region and (b) X-direction velocity in the discharge region.

Figure 6

(a) Z-direction velocity in the discharge region and (b) X-direction velocity in the discharge region.

Close modal
Figure 7

Cloud map of liquid volume fraction distribution in the discharge region.

Figure 7

Cloud map of liquid volume fraction distribution in the discharge region.

Close modal

Influence of the liquid flow rate

The flow rate of the liquid has an important effect on the gas–liquid mass transfer efficiency. When the liquid flow rate increases, the kinetic energy of the liquid itself becomes larger, leading to the intensification of collisions between the liquid microelements, but when the liquid flow rate is too large, the gas–liquid mixing in the discharge region becomes worse. Causes include reduced gas-carrying capacity, liquid retention effects, insufficient shear, and altered flow patterns. These factors work together to limit effective contact and mixing between gas and liquid. Therefore, analyzing the effect of different liquid flow rates at the inlet on the gas–liquid distribution in the discharge region is of great significance. The liquid flow rate is set to be 100, 200, 300, and 400 mL/min, and the corresponding inlet flow rates are 0.06, 0.12, 0.18, and 0.24 m/s. The velocity cloud of the discharge region at different flow rates at the inlet is shown in Figure 8. When the liquid flow rate is too small relative to the gas flow rate, an increase in the liquid flow rate has little effect on the fluid velocity in the discharge zone, which is mainly due to factors such as the dominance of the gas flow, the passive following of the liquid, the stability of the pre-existing flow pattern, the limitation of the system's capacity, and the change in the relative ratios. When the inlet flow rate is increased from 0.06 to 0.24 m/s, the maximum fluid flow rate in the discharge region is increased from 2.8 to 3 m/s only. Figure 9 shows the cloud diagram of the distribution of the volume fraction of water at different inlet flow rates, when the inlet flow rate is lower than 0.12 m/s, the volume fraction of the liquid in the discharge region is below 0.5, indicating a better gas–liquid mixing effect. When the inlet flow rate increases to 0.18 m/s, a small area of the discharge region wall has a liquid volume fraction of 1, indicating that there is a flow of liquid on the wall and poor gas–liquid mixing. When continuing to increase the inlet flow rate to 0.24 m/s, the liquid volume fraction in the discharge region increased to 1 in most areas, indicating poor gas–liquid mixing, so the inlet flow rate should be set at 0.12 m/s and below in practical applications.
Figure 8

Velocity distribution cloud in the discharge region.

Figure 8

Velocity distribution cloud in the discharge region.

Close modal
Figure 9

Cloud view of liquid volume fraction distribution in the discharge region.

Figure 9

Cloud view of liquid volume fraction distribution in the discharge region.

Close modal

Effect of discharge power on copper and zinc removal rates

Adjusting the discharge power controls the rate of production and release of active particles, which affects the removal rate. The discharge power and energy yield were analyzed to obtain better economic efficiency. Figure 10(a) shows the effect of discharge power on the removal of Cu2+ from solution at an initial concentration of 5 mg/L for Cu2+, a gas flow rate of 30 L/min, a liquid flow rate of 200 mL/min, and a pH of 11. The data indicate that the DBD has a significant effect on Cu2+ removal. The maximum removal of Cu2+ was 98.30, 98.43, and 98.68% when the discharge power was 56, 94, and 138 W, respectively, and the removal of Cu2+ increased slightly with the increase of discharge power. With the increase in discharge power, the electric field strength in the reactor increases, the number of active particles produced increases, and there is a slight increase in the rate at which Cu2+ in the water is oxidized to Cu(OH)2. The highest removal rate was achieved when the discharge time was about 6 min, and the removal rate decreased slightly with the increase in treatment time. This is because the decrease in solution pH that accompanies the increase in treatment time leads to the dissolution of Cu(OH)2 precipitation as copper ions (Cu2+). The energy yield of the discharge power in the treatment of Cu2+ at the discharge treatment of 3 min is shown in Figure 10(c). The energy yield reaches a maximum of 1.74 g/(kW h) at a discharge power of 56 W. The energy yield decreases as the discharge power continues to increase. This is due to the fact that when the discharge power is relatively high, but the amount of material that can be ionized in the discharge area remains constant, the removal rate of Cu2+ increases less, resulting in a decrease in energy yield. Therefore, 56 W discharge power can achieve better removal effects and economic benefits.
Figure 10

(a) Effect of discharge power on Cu2+ removal rate. Initial concentration of Cu2+: 5 mg/L, gas flow rate: 30 L/min, liquid flow rate: 200 mL/min, pH: 11. (b) Effect of discharge power on Zn2+ removal rate. Initial concentration of Zn2+: 5 mg/L, gas flow rate: 30 L/min, liquid flow rate: 200 mL/min, pH: 11. (c) Energy yield of discharge power in the treatment of Cu2+. (d) Energy yield of discharge power in the treatment of Zn2+.

Figure 10

(a) Effect of discharge power on Cu2+ removal rate. Initial concentration of Cu2+: 5 mg/L, gas flow rate: 30 L/min, liquid flow rate: 200 mL/min, pH: 11. (b) Effect of discharge power on Zn2+ removal rate. Initial concentration of Zn2+: 5 mg/L, gas flow rate: 30 L/min, liquid flow rate: 200 mL/min, pH: 11. (c) Energy yield of discharge power in the treatment of Cu2+. (d) Energy yield of discharge power in the treatment of Zn2+.

Close modal

The effect of discharge power on the removal of Zn2+ from solution at an initial concentration of 5 mg/L, a gas flow rate of 30 L/min, a liquid flow rate of 200 mL/min, and a pH of 11 is shown in Figure 10(b). The maximum removal of Zn2+ was 95.67, 96.22, and 94.29% when the discharge power was 58, 94, and 129 W, respectively. As the discharge power increases, the rate of active particles produced in the reactor gradually increases and the removal of Zn2+ slightly increases. However, when the discharge power was too high, the removal of Zn2+ started to decrease slightly. To analyze the reason, when the voltage is greater than 120 V, the thermal effect of the dielectric blocking the discharge becomes more and more obvious, and the temperature of the solution increases, resulting in a decrease in the solubility of ozone. This is consistent with the results of Wang et al. (2022) who used multi-electrode dielectric blocking discharge plasma to treat printing and dyeing wastewater. As shown in Figure 10(d), after 3 min of DBD treatment, the energy yield reached a maximum of 1.59 g/(kW h) at a discharge power of 58 W. Therefore, the discharge power of 58 W can achieve better removal effects and economic benefits.

Effect of the gas flow rate on copper and zinc removal rates

The gas flow rate determines the amount of ionizable particles and the length of their discharge time in the reactor. The effect of the gas flow rate on Cu2+ removal was analyzed when the discharge power was 56 W, the concentration of Cu2+ was 5 mg/L, and the liquid flow rate was 200 mL/min, as shown in Figure 11(a). When the discharge treatment was carried out for 5 min, the gas flow rate was increased to 30 L/min and the removal of Cu2+ was increased to 98.28%. Further, continuing to increase the gas flow rate, the removal of Cu2+ began to decrease. This is because in a certain range with the increase of the through gas flow, the reactive substances produced by the discharge in the reactor increase (Chen & Tang 2023), and this also increases the chance of collision of these reactive substances with the organic matter in the solution, which can lead to an increase in the removal rate of Cu2+. This is basically consistent with the phenomenon of better gas–liquid mixing when the gas flow rate is about 40 L/min as shown in Figure 7. The simulation results show that when the liquid flow rate increases, the kinetic energy of the liquid itself becomes larger, which leads to the intensification of the collision between the liquid microelements, but when the liquid flow rate is too large, the gas–liquid mixing effect in the discharge region becomes poorer, which is also reflected in the removal rate of copper. Because the control of the gas flow rate is unstable in practice, there is a certain error. Degradation efficiency will decrease as the flow rate increases, probably due to the high flow rate of gas making the discharge area inside the reactor unstable, resulting in the production of fewer active particles, which makes the chance of collision reaction with the pollutants in the water less likely and thus leads to a reduction in the removal rate.
Figure 11

(a) Effect of gas flow rate on Cu2+ removal. Initial concentration of Cu2+: 5 mg/L, discharge power: 6 W, liquid flow rate: 200 mL/min, pH: 11. (b) Effect of gas flow rate on Zn2+ removal. Initial concentration of Zn2+: 5 mg/L, discharge power: 58 W, liquid flow rate: 200 mL/min, pH: 11.

Figure 11

(a) Effect of gas flow rate on Cu2+ removal. Initial concentration of Cu2+: 5 mg/L, discharge power: 6 W, liquid flow rate: 200 mL/min, pH: 11. (b) Effect of gas flow rate on Zn2+ removal. Initial concentration of Zn2+: 5 mg/L, discharge power: 58 W, liquid flow rate: 200 mL/min, pH: 11.

Close modal

When the discharge power is 58 W, the concentration of Zn2+ is 5 mg/L, the liquid flow rate is 200 mL/min, and the pH is 11. The effect of the gas flow rate on the removal rate of Zn2+ is shown in Figure 11(b), it can be seen that the gas flow rate of 20 L/min has the best effect of 92.18% removal of Zn2+. However, the maximum removal of Zn2+ began to decrease when the gas flow rate continued to increase. The degradation efficiency started to decrease when the gas flow rate was gradually increased, which may be due to the fact that the excessive gas flow rate made the discharge region inside the reactor unstable, resulting in a decrease in the generation of reactive particulate matter, which reduced the chance of collision between the pollutants in the water and the reactive particulate matter, and as a result, the degradation effect was weakened. Therefore, the removal of Zn2+ was reduced. This is different from the phenomenon shown in Figure 7 as the gas flow rate has less influence on the removal of Zn2+ in the actual removal of Zn2+ and the control of the gas flow rate is less stable in the real situation.

Effect of liquid flow on copper and zinc removal rates

The liquid flow rate affects the amount and retention time of Cu2+ in the reactor and thus the reaction time with the active particles. The effect of liquid flow rate on Cu2+ removal was analyzed when the discharge power was 56 W, the concentration of Cu2+ was 5 mg/L, and the gas body flow rate was 30 L/min. As shown in Figure 12(a), when increasing the liquid flow rate to 200 mL/min, the best effect of Cu2+ removal was 98.28%, and when continuing to increase the liquid flow rate to 300 and 400 mL/min, the removal of Cu2+ was reduced as compared with the liquid flow rate of 200 mL/min. This is because a moderate increase in the liquid flow rate promotes the mass transfer process between the gas and the liquid, increasing the dissolved oxygen content and thus the production of reactive oxygen species, such as ozone, produced during the DBD process. More reactive oxygen species will increase the oxidizing capacity of heavy metals, which in turn will increase the efficiency of their degradation, and higher liquid flow rates will result in a shorter residence time of Cu2+ in the discharge region and insufficient reaction with the active particles, which will also result in a decrease in the removal rate. This is consistent with the phenomenon shown in Figure 9 that the gas–liquid mixing in the discharge region deteriorates when the liquid flow rate increases.
Figure 12

Effect of liquid flow rate on Cu2+ removal. Initial concentration of Cu2+: 5 mg/L, discharge power: 58 W, gas flow rate: 30 L/min, pH: 11. (b) Effect of liquid flow rate on Zn2+ removal. Initial concentration of Zn2+: 5 mg/L, discharge power: 58 W, gas flow rate: 40 L/min, pH: 11.

Figure 12

Effect of liquid flow rate on Cu2+ removal. Initial concentration of Cu2+: 5 mg/L, discharge power: 58 W, gas flow rate: 30 L/min, pH: 11. (b) Effect of liquid flow rate on Zn2+ removal. Initial concentration of Zn2+: 5 mg/L, discharge power: 58 W, gas flow rate: 40 L/min, pH: 11.

Close modal

The effect of the gas flow rate on Zn2+ removal was analyzed when the discharge power was 58 W, the concentration of Zn2+ was 5 mg/L, the gas flow rate was 40 L/min, and the pH was 11. As shown in Figure 12(b), when increasing the liquid flow rate to 100 mL/min, the removal rate of Zn2+ had the best effect of 96.23%. With further increase in the flow rate, the removal efficiency of Zn2+ gradually decreased relative to the 100 mL/min flow rate. This is consistent with the phenomenon shown in Figure 9 that the gas–liquid mixing in the discharge region deteriorates when the liquid flow rate increases. The reason for this is that high liquid flow rates can lead to excessive dilution of reactive oxygen species (e.g. ozone) in the reaction chamber, reducing their concentration and thus their oxidizing capacity for heavy metals, and may also lead to excessive mixing effects in the reaction chamber, which can hinder the transport of reactive oxygen species and make it difficult for them to effectively come into contact with and react with the heavy metal ions, thus lowering the efficiency of the degradation. When the liquid flow rate is too high, the simulation results show that the gas–liquid mixing effect becomes worse, which is also reflected in the zinc removal rates.

Effect of the initial pH on copper and zinc removal rates

The initial pH of groundwater affects the generation and form of strong oxidizing substances present in the water, which has a significant impact on the removal of Cu2+ and Zn2+. When the discharge power is 56 W, the concentration of Cu2+ is 5 mg/L, the gas flow rate is 30 L/min, and the liquid body flow rate is 100 mL/min, the effect of the initial pH on the removal rate of Cu2+ is as shown in Figure 13(a). When the initial pH of the solution was 9, the removal of Cu2+ was low, and the removal was only 67.98% when the discharge treatment was applied for 3 min, yet when the pH of the solution was increased, the removal of Cu2+ gradually increased to 98.66%, which was attributed to the fact that the increase in the solution pH contributed to the generation of Cu(OH)2 precipitation. However, too high a pH can produce more free radical traps in the reaction solution, resulting in a lower content of free radicals (e.g. –OH) to produce less precipitation. The stability of H2O2 decreases with increasing pH, and the decomposition of H2O2 promotes the production of free radicals. This explains the increased degradation efficiency of Zn–Cu at pH = 11. However, at too much pH, –OH may be captured by OH, inhibiting the interaction of –OH with zinc–copper ions. In addition, the strong alkaline environment inhibits the generation of –HO2 and prevents the generation of secondary radicals from –HO2, which adversely affects the oxidative degradation of zinc–copper.
Figure 13

(a) Effect of initial solution pH on Cu2+ removal. Initial concentration of Cu2+: 5 mg/L, discharge power: 58 W, gas flow rate: 40 L/min, liquid flow rate: 100 mL/min. (b) Effect of initial solution pH on Zn2+ removal. Initial concentration of Zn2+: 5 mg/L, discharge power: 58 W, gas flow rate: 40 L/min, liquid flow rate: 100 mL/min.

Figure 13

(a) Effect of initial solution pH on Cu2+ removal. Initial concentration of Cu2+: 5 mg/L, discharge power: 58 W, gas flow rate: 40 L/min, liquid flow rate: 100 mL/min. (b) Effect of initial solution pH on Zn2+ removal. Initial concentration of Zn2+: 5 mg/L, discharge power: 58 W, gas flow rate: 40 L/min, liquid flow rate: 100 mL/min.

Close modal

When the discharge power is 58 W, the concentration of Zn2+ is 5 mg/L, and the gas flow rate is 40 L/min, the effect of the initial pH of the liquid flow rate of 100 mL/min solution on the removal of Zn2+ is as shown in Figure 13(b). The maximum removal of Zn2+ was 58.85, 75.84, 96.09, and 68.89% when the initial pH of the solution was 9, 10, 11, and 12, respectively. This is because the pH of the solution affects the formation of Zn(OH)2 precipitates. A high pH increases the concentration of hydroxide ions (OH–) in the water, which in turn improves the formation of Zn(OH)2 precipitates, but too high a pH can lead to the production of more free radicals in the reaction solution, which may lead to a decrease in the amount of free radicals (e.g. –OH) and thus a decrease in precipitation. After 3 min of DBD treatment at a pH value of 10–12, the Cu2+ content was reduced to less than 1 mg/L, meeting the drinking water standard (NHCC 2022). Therefore, it facilitates the removal of zinc from groundwater by adjusting the pH value of the groundwater between 10 and 12.

In this study, the feasibility of a gas–liquid hybrid DBD reactor for treating high concentrations of copper and zinc in groundwater was verified by simulation and experiment, and the optimal operating parameters were found to improve the removal efficiency. The copper and zinc removal rates (up to 98.68 and 96.28% in 12 min, respectively) reached a steady state under optimal operating conditions. This provides a theoretical basis for future low-temperature plasma technology in treating heavy metals in groundwater or developing a more efficient DBD reactor structure. The experimental results show the following:

  • The mixed gas–liquid two-phase flow inside the DBD reactor is simulated using the VOF model to obtain the mixing of the flow field inside the reactor, which provides a good model for two-phase flow analysis. The gas–liquid mixing effect in the discharge reaction area is more affected by the liquid flow rate, and it is especially poor when the liquid flow rate exceeds 200 mL/min.

  • In the practical application of the treatment process, the maximum removal of copper and zinc ions was achieved when the inlet flow rate was around 30 L/min and the inlet flow rate was around 200 mL/min.

  • The maximum removal rate was 98.68 and 96.28% when the concentrations of Cu2+ and Zn2+ were 5 mg/L and the treated concentrations were 0.066 and 0.186 mg/L, respectively. These results were obtained using the gas–liquid mixing DBD emission method.

  • The removal of copper and zinc depends on the oxidation of the low valent Cu2+ and Zn2+ to the high valent Cu(OH)2 and Zn(OH)2 precipitation compounds by the reactive species produced during the discharge process.

  • The process parameters have an effect on the copper and zinc removal rates, especially the initial pH and discharge power, only when the initial pH is 11 and the discharge power is 56–58 W, then copper and zinc reach better removal effects and economic benefits.

This work was supported by the Silk Road Economic Belt Innovation Driven Development Pilot Zone and the Wuchangshi National Independent Innovation Demonstration Zone Science and Technology Development Plan [grant number 2022LQ04009].

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

The authors declare there is no conflict.

Abtahi, M., Fakhri, Y., Gea, O. C., Keramati, H., Zandsalimi, Y., Bahmani, Z., Pouya, R. H., Sarkhosh, M., Moradi, B., Amanidaz, N. & Ghasemi, S. M.
(
2017
)
Heavy metals (As, Cr, Pb, Cd and Ni) concentrations in rice (Oryza sativa) from Iran and associated risk assessment: A systematic review
,
Toxin Reviews
,
36
(
4
),
331
341
.
Ahmed, K., Abdul, M. B., Kumar, G. K., Islam, S., Islam, M. & Hossain, M.
(
2016
)
Human health risks from heavy metals in fish of Buriganga river, Bangladesh
,
SpringerPlus
,
5
(
1
),
1697
.
Badruddoza, A. Z. M., Shawon, Z. B. Z., Tay, W. J. D., Hidajat, K. & Uddin, M. S.
(
2013
)
Fe3O4/cyclodextrin polymer nanocomposites for selective heavy metals removal from industrial wastewater
,
Carbohydrate Polymers
,
91
(
1
),
322
.
Bawuro
A. A.
,
Voegborlo
R. B.
&
Adimado
A. A.
(
2018
)
Bioaccumulation of heavy metals in some tissues of fish in Lake Geriyo, Adamawa State, Nigeria
,
Journal of Environmental and Public Health
,
2018, 1854892
.
Chen
M.
(
2020
)
Discussion on remediation technology of groundwater pollution
,
Yunnan Chemical Technology
,
47
(
11
),
12
14
.
Chen
X.
&
Tang
C.
(
2023
)
Removal of imidacloprid in water by dielectric barrier discharge plasma
,
Modern Chemical Research
,
16
,
74
76
(in Chinese with English abstract)
.
Chomba
I. C.
,
Banda
K. E.
,
Winsemius
H. C.
,
Eunice
M.
,
Sichingabula
H. M.
&
Nyambe
I. A.
(
2022
)
Integrated hydrologic-hydrodynamic inundation modeling in a groundwater dependent tropical floodplain
,
Journal of Human, Earth, and Future
,
3
(
2
),
237
246
.
Deng, L., Li, Y., Zhang, A. & Zhang, H.
(
2020
)
Nano-hydroxyapatite incorporated gelatin/zein nanofibrous membranes: Fabrication, characterization and copper adsorption
,
International Journal of Biological Macromolecules
, 154, 1478–1489.
Ferreira, M. P., Santos, P. S., Caldeira, M. T., Estrada, A. C., da Costa, J. P., Rocha-Santos, T. & Duarte, A. C.
(
2019
)
White bean (Phaseolus vulgaris L.) as a sorbent for the removal of zinc from rainwater
,
Water Research
, 162, 170–179.
Iervolino
G.
,
Vaiano
V.
&
Palma
V.
(
2019
)
Enhanced removal of water pollutants by dielectric barrier discharge non-thermal plasma reactor
,
Separation and Purification Technology
, 215, 155–162.
Li, C. J., Yang, Y. Y., Wang, B. Q. & Shi, Y.
(
2021
)
Numerical simulation of gas-liquid mixed jet cleaning based on fluent
,
Shandong Chemical Industry
,
50
(
08
),
144
146
(in Chinese with English abstract)
.
NHCC
(
2022
)
Standards for Drinking Water Quality
.
Beijing, China
:
National Health Commission of the People's Republic of China
.
Shao
Y.
,
Guo
H.
,
Ji
Z.
,
Ou
X.
,
Chen
H.
&
Fan
X.
(
2023
)
Cellular foam-based trickle-bed DBD reactor for plasma-assisted degradation of tetracycline hydrochloride
,
Separation and Purification Technology
,
311
,
123317
.
Sun, B. R., Wang, Z. N., Wu, B. Y., Liang, R. P. & Li, L. P.
(
2024
)
Preparation of anisotropic PVA wood-based hydrogels and their copper ion adsorption properties
,
Journal of Forestry Engineering
,
9
(
02
),
108
115
.
Tang, S., Lu, N., Li, J. & Wu, Y.
(
2012
)
Removal of bisphenol A in water using an integrated granular activated carbon preconcentration and dielectric barrier discharge degradation treatment
,
Thin Solid Films
,
521257
521260
, 521, 257–260.
Traven, L., Marinac-Pupavac, S., Žurga, P., Linšak, Ž., Žeželj, S. P., Glad, M. & Cenov, A.
(
2023
)
Arsenic (As), copper (Cu), zinc (Zn) and selenium (Se) in northwest Croatian seafood: A health risks assessment
,
Toxicology Reports
,
11, 413–419
.
Van Nguyen, D., Ho, N. M., Hoang, K. D., Le, T. V. & Le, V. H.
(
2020
)
An investigation on treatment of groundwater with cold plasma for domestic water supply
,
Groundwater for Sustainable Development
,
10
,
100309
.
Wang, H. T., Fan, Z. W., Ru, L. F. & Li, W. T. (2022) Pilot study on treatment of printing /dyeing wastewater by multi-electrode dielectric barrier discharge ( MDBD) plasma, Modern Chemical Industry, 42 (4), 222–226.
Yang, W., Wang, Z., Song, S., Han, J., Chen, H., Wang, X., Sun, R. & Cheng, J.
(
2019
)
Adsorption of copper(II) and lead(II) from seawater using hydrothermal biochar derived from Enteromorpha
,
Marine Pollution Bulletin
,
149, 110586
.
Yu
D.
,
Zhou
J.
,
Chen
J.
,
Zeng
Y.
,
Chen
Y.
&
Zhang
J.
(
2020
)
Spatial distribution characteristics and genesis of groundwater with high iron and manganese content in Kashi Prefecture, Xinjiang
,
Environmental Chemistry
,
39
(
11
),
3235
3245
(in Chinese with English abstract)
.
Zhang
H.
,
Liu
Y.
,
Cheng
X.
,
Zhang
A.
,
Li
X.
,
Liu
J.
,
Cai
S.
,
Yang
C.
,
Ognier
S.
&
Li
P.
(
2018
)
Degradation of phenol in water using a novel gas-liquid two-phase dielectric barrier discharge plasma reactor
,
Water, Air & Soil Pollution
,
229
(
10
),
1
12
.
Zheng, Z. F., Meng, F. R., Zhao, G. Y., Zhao, Y. G., Xu, S. & Li, C. X.
(
2022
)
Simulation of gas liquid two phase flow in water ring vacuum pump by VOF model
,
Chinese Journal of Vacuum Science and Technology
,
42
(
02
),
139
144
(in Chinese with English abstract)
.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence (CC BY 4.0), which permits copying, adaptation and redistribution, provided the original work is properly cited (http://creativecommons.org/licenses/by/4.0/).