2.1. Removal of Mg2+ and Ca2+ using the softening agents
Figure 1 shows the pH dependence of the Mg2+ and Ca2+ concentrations when each alkaline agent was added to the water samples. Mg2+ was effectively removed by all alkaline agents and the concentration of Mg2+ fell below the lower detection limit (Mg2+ < 0.057 mg/L) above pH 11. During the softening process, hydroxide ions (OH−) were supplied to the seawater and Mg2+ was converted to insoluble magnesium hydroxide (Mg(OH)2) and removed from the liquid phase. Meanwhile, Ca2+ was not removed by adding the alkaline agents NaOH and Ca(OH)2, but the Ca(OH)2 + Na2CO3 and NaOH + Na2CO3 agents effectively removed Ca2+. Above pH 11, the Ca2+ concentration of the samples softened using these agents was below the lower detection limit (Ca2+ < 0.065 mg/L). Ca2+ reacted with CO32− to form insoluble CaCO3 under alkaline conditions. The optimum addition volumes of the Ca(OH)2 + Na2CO3 and NaOH + Na2CO3 agents for Ca2+ and Mg2+ removal were 40 and 72 mL per 1,000 mL of seawater, respectively.
2.2. Generation amounts of SS and sludge
Figure 2 shows the SS and sludge generation (SV60min) amounts after adding each alkaline agent and adjusting the pH to 11. The SS content in the sample with the Na2CO3 additive was twice that in the sample without Na2CO3. After adding Na2CO3 in the forms of the Ca(OH)2 + Na2CO3 and NaOH + Na2CO3 agents, the SS contents were observed to be similar and statistically equivalent (p > 0.05). Na2CO3 formed calcium carbonate and increased the SS content in seawater. Comparing the sludge amounts generated by the Ca(OH)2 + Na2CO3 and NaOH + Na2CO3 agents, the SV60min in the Ca(OH)2 + Na2CO3 system was 25.2%, one-third of that in the NaOH + Na2CO3 system. The sludge produced using NaOH had more pore water than that produced with Ca(OH)2, and the specific gravity of the sludge became lower. Ayoub and Merhebi33 reported the high compressive properties of the Ca(OH)2-treated sludge. To achieve the desired low amount of sludge generation, we selected Ca(OH)2 + Na2CO3 as the most suitable alkaline agent for the softening treatment of seawater.
2.3. Relation between salinity and dosage of the alkaline agent
The alkaline-agent dosage in the softening treatment depends on the Mg2+ and Ca2+ concentrations in the seawater. Therefore, we investigated the optimum dosage of the alkaline agent at different salinities in the artificial seawater. At the optimum dosage, the Mg2+ and Ca2+ concentrations were reduced to below the lower detection limit. As shown in Fig. 4, the optimum dosage of the alkaline agent is linearly related to salinity. As the positive correlation was extremely high, the optimum dosage of the alkaline agent could be determined from the salinity of the seawater. The optimum dosage of the alkaline agent obtained from the correlation presented in Fig. 3 was then applied to actual seawater. Because the softening in seawater could be inhibited by turbidity and bacteria, we examined the optimum dosage of the alkaline-agent dosage for actual seawater. From the correlation between salinity and the alkaline-agent dosage, the optimum dosage rate of alkaline-agent in actual seawater was determined as 100%. The softening treatment was further examined at the alkaline-agent dosage rates of 110%, 120%, 130%, 140%, and 150%. Fig. S1 shows the Mg2+ and Ca2+ concentrations at the alkaline-agent dosage rates of 100–150% during the softening of three samples of actual seawater. At the 100% dosage rate, the Mg2+ and Ca2+ concentrations decreased considerably but the ions were not completely removed from the treated water. By contrast, at dosage rates above 120%, no Mg2+ or Ca2+ was detected in the treated water. Based on these results, the optimum dosage of the alkaline agent in actual seawater was multiply by 1.2 (120%) obtained with artificial seawater.
2.4. Treated-water quality of the actual seawater samples after softening
Table S1 shows the treated-water qualities after softening the seawater samples collected from different sampling points. Mg2+ and Ca2+ were almost completely removed from all actual seawater samples (removal rates ≈ 100%). The K+ removal rate was very low (3.8–6.8%), and the Na+ removal rate was zero (in fact, the Na+ concentration was higher in the treated seawater than in the raw water because the alkaline agent comprised Na+). Meanwhile, SS aggregated with the generation of Mg(OH)2 and CaCO3, affording high removal efficiency for turbidity. Furthermore, no E. coli and total coliforms were detected in the treated seawater and the number of heterotrophic bacteria was reduced by 95.9–100%. Ayoub et al.26 similarly reported the complete removal of total and fecal coliforms above pH 10.5. Therefore, the softening treatment can simultaneously remove Mg2+ and Ca2+, SS, and bacteria from actual seawater. However, the settling velocity of the SS generated by the seawater softening treatment was extremely low. In addition, the SV60min exceeded 29% and the amount of generated sludge was large.
2.5. Optimization of SBF
Figure 4 plots the floc-settling velocity versus the dosage of each polymer flocculant in the SBF process using artificial seawater. The optimum dosage of alkaline agent and 10 g/L of the microsand was added to artificial seawater. When added at a dosage of 15 mg/L, the four polymer flocculants AP335B, AP825B, AP335PWS, and AP120PWS, which have high- and medium degree of anion (Table S2), formed large flocs with considerably increased settling velocities (< 4.5 cm/s). At a dosage of 20 mg/L, the settling velocity was further increased more than 6 cm/s using AP825B and AP120PWS. For comparison, the settling velocity without the addition of a polymer flocculant was only 2.8 × 10− 3 cm/s. Ballasted flocculation of the artificial seawater increased the settling velocity by a factor of 1.9 × 103–2.3 × 103. The highest floc-settling velocity (6.5 cm/s) was achieved by adding the polymer AP825B at a dosage of 20 mg/L. AP825B has the smallest molecular weight between the four high- and medium-anion polymer flocculants (Table S2). Therefore, the specific gravity of flocs is considered to be high because the water content of the formed flocs was low. By contrast, the anionic polymer flocculant AP119, which has extremely high anionic strength, and the nonionic NP800PWS exerted no ballasted flocculation effect. The anionic polymer flocculants with extremely high ionic strength and the nonionic polymer flocculants with no ionic strength are unsuitable for flocculation in the ballast treatment.
The volumes of sludge generation in the systems with various polymer flocculants after 3 min of standing (SV3min) are compared in Fig. 5. In the absence of a polymer flocculant, the settling velocity of the floc was extremely low and settling was barely observed after 3 min (SV3min = 99.0%). The polymer flocculants, which accelerated the floc sedimentation, markedly decreased the SV3min with an increase in their dosage. Among the seven types of polymer flocculants, the four specified high- and medium-anion polymer flocculants, which accelerated floc-settling velocity, produced small amount of sludge (< 25%) at 20-mg/L dosage. Between the four polymer flocculants, AP335B and AP825B at a dosage of 20 mg/L achieved the lowest SV3min, averaging 21.5% and 22.0%, respectively, with no significant difference between the two values (p > 0.05). Conversely, the nonionic polymer NP800PWS, which could not form flocs, generated a large amount of sludge. Based on the settling velocities and SV3min values of the flocs, AP825B was determined as the most suitable polymer flocculant for the SBF treatment of seawater.
2.6. Relation between floc-settling velocity and sludge-generation volume at different microsand dosages
The settling velocity of the flocs was considered to depend on the microsand dosage. Therefore, the floc-settling velocity was investigated in SBF using the AP825B flocculant with different dosages of microsand (0, 3, 10, or 20 g/L). Figure 6 shows the relation of the settling velocity of the flocs to the flocculant dosage at each microsand dosage. Large flocs with considerably increased settling velocities were formed at the polymer dosages of > 15 mg/L, regardless of the microsand dosage. The microsand dosage influenced the settling velocity. In the SBF with 20 g/L of microsand, the settling velocity was maximized and reached 7.4 cm/s. When polymer was added in excess (> 25 mg/L), the settling velocity tended to decrease. The excessive addition of the anionic polymer caused the negatively charged particles to electrostatically repel each other, thereby hindering floc formation. Therefore, determining the appropriate amount of polymer flocculant for the given microsand dosage is an important part of the SBF treatment.
Figure S2 compares the volumes of sludge generation at each dosage of microsand. The SV3min decreased considerably when the dosage of the polymer flocculant exceeded 10 mg/L. At polymer dosages of 15 and 20 mg/L, increasing the microsand dosage to 10 g/L decreased the amount of sludge to 20% because the increased specific density of the flocs caused compressive settling. However, when 20 mg/L of polymer was added, the SV3min values were not significantly different at the microsand dosages of 10 and 20 g/L (p > 0.05). Based on the observed floc-settling velocities and SV3min values, the optimum polymer flocculant and sand dosages of the SBF were determined as 20 and 10g /L, respectively.
2.7. Neutralization of the alkaline agent–treated water
The treated water generated in SBF is highly alkaline and must be neutralized. Herein, the treated water was neutralized under the optimum conditions. The pH changes during neutralization with H2SO4 and CO2 are shown in Fig. S3. In the neutralization with H2SO4, the pH dropped sharply after neutralization because H2SO4 was added in excess, resulting in acidification. In addition, as sulfuric acid is a deleterious substance, restrictions are imposed on its use. Conversely, in neutralization by aeration using the CO2 gas, the pH decreased to 5.8 at neutralization and remained 5.8 while further aeration with the gas. Neutralization of treated water is easily achieved using CO2, and CO2 is harmless. Based on these results, the CO2 gas was selected as the neutralizer of actual seawater after processing via SBF.
2.8. Application of SBF to actual seawater
After performing softening and ballasted flocculation under the optimum conditions, the settling velocity of the actual seawater exceeded 3.5 cm/s, 833 times higher than the settling velocity after softening without ballasted flocculation. The SV3min value of each sample was < 32.5%. The SBF treatability results of each water-quality parameter in the actual seawater samples are given in Table 1. The treatability results matched those of the softening treatment (Table S1). Mg2+ and Ca2+ were almost completely removed from all actual seawater samples, with removal rates of ~ 100%. The average SiO2 removal rate was 23.6%. The silicate molybdic acid method used in this study can determine the dissolved SiO2, which exists in ionic, molecular, and colloidal chemical forms. The ionic fraction of SiO2 would be removed via electrostatic adsorption in the aggregation process by Mg(OH)2 used in the softening process. By contrast, the Na+ concentration was higher in the treated water than in the raw seawater because it was contributed by the alkaline softening agent. Meanwhile, the turbidity was removed at high rate because the SSs were aggregated with the insoluble Mg(OH)2 and CaCO3 products of softening. No E. coli and total coliforms were detected in the treated water, and the numbers of heterotrophic bacteria were reduced by 88.0–99.5%. Therefore, SBF can efficiently remove Mg2+ and Ca2+, SSs, and bacteria from seawater.
Table 1
The treatability of SBF for each water quality parameter for actual seawater
(a) Miyazaki Port | | | |
Parameter | Unit | Miyazaki Port |
Raw water | Treated water |
Mean ± SD (n = 3) | Mean ± SD (n = 3) |
pH | - | 8.2 ± 3.9 × 10− 2 | 11.7 ± 4.1 × 10− 2 |
EC | mS/cm | 37.9 ± 9.4 × 10− 2 | 39.2 ± 0.33 |
Turbidity | ppm | 1.8 ± 0.70 | 2.1 ± 0.35 |
SiO2 | mg/L | 1.3 ± 0.25 | 1.4 ± 0.85 |
Mg2+ | mg/L | 1,488 ± 51.1 | BDL* |
Ca2+ | mg/L | 464 ± 21.1 | BDL |
Na+ | mg/L | 9,985 ± 383.5 | 12,695 ± 245.3 |
K+ | mg/L | 376 ± 13.1 | 375 ± 13.0 |
E. coli | CFU/100 mL | 5.3 ± 2.9 | 0 |
Coliforms | CFU/100 mL | 57.3 ± 40.9 | 0 |
Heterotrophic bacteria | CFU/100 mL | 5.8 × 104 ± 2.5 × 104 | 7.0 × 103 ± 8.2 × 102 |
(b) Aoshima Port | | | |
Parameter | Unit | Aoshima Port |
Raw water | Treated water |
Mean ± SD (n = 3) | Mean ± SD (n = 3) |
pH | - | 8.3 ± 3.0 × 10− 3 | 12.5 ± 3.0 × 10− 2 |
EC | mS/cm | 40.6 ± 9.4 × 10− 2 | 41.6 ± 0.49 |
Turbidity | ppm | 2.6 ± 2.3 × 10− 2 | 0.93 ± 0.14 |
SiO2 | mg/L | 1.1 ± 9.4 × 10− 2 | 0.6 ± 0.24 |
Mg2+ | mg/L | 1,595 ± 6.0 | BDL |
Ca2+ | mg/L | 474 ± 2.1 | BDL |
Na+ | mg/L | 11,105 ± 138.2 | 13,539 ± 163.4 |
K+ | mg/L | 386 ± 1.0 | 358 ± 3.7 |
E. coli | CFU/100 mL | 0 | 0 |
Coliforms | CFU/100 mL | 5.3 ± 2.1 | 0 |
Heterotrophic bacteria | CFU/100 mL | 3.2 × 104 ± 3.1 × 104 | 6.7 × 102 ± 9.4 × 102 |
(c)Tukunami River | | | |
Parameter | Unit | Tsukunami River |
Raw water | Treated water |
Mean ± SD (n = 3) | Mean ± SD (n = 3) |
pH | - | 8.4 ± 4.5 × 10− 3 | 11.9 ± 3.0 × 10− 2 |
EC | mS/cm | 36.7 ± 0.62 | 37.0 ± 9.4 × 10− 2 |
Turbidity | ppm | 6.4 ± 0.84 | 1.5 ± 0.85 |
SiO2 | mg/L | 1.3 ± 0.36 | 0.97 ± 0.52 |
Mg2+ | mg/L | 1,497 ± 5.7 | BDL |
Ca2+ | mg/L | 464 ± 10.7 | BDL |
Na+ | mg/L | 10,450 ± 110.0 | 12,415 ± 101.8 |
K+ | mg/L | 383 ± 8.1 | 354 ± 3.6 |
E. coli | CFU/100 mL | 13.3 ± 1.7 | 0 |
Coliforms | CFU/100 mL | 50.3 ± 9.0 | 0 |
Heterotrophic bacteria | CFU/100 mL | 8.7 × 105 ± 8.2 × 105 | 4.0 × 103 ± 8.2 × 102 |
*BDL: Below detection limit | | |
2.9. Evaluation of SDI of actual seawater
To assess the applicability of the seawater treated via SBF and neutralized using CO2 in the RO membrane process, the SDIs of the raw and treated seawater samples collected form Miyazaki Port, Aoshima Port, and the mouth of Tsukunami River were computed and are presented in Table S3. The SDI values of all the raw seawater samples exceeded 5.7, over measuring range of the SDI measurement device. Actual seawater should not be directly passed through the RO membrane. Conversely, the SDI values of the treated seawater were below 2.9. The SDI of water applied to RO membranes should not exceed the standard value, which is generally set below 3.042,43. The SDI values determined in the present study confirmed that after the pretreatment using SBF, the seawater achieved the water-supply standard of RO membranes.
2.10. Sludge dehydration
Finally, we compared the specific resistances of the sludge generated via conventional softening and SBF. Figure 7 shows the results of the Buchner funnel test on the artificial seawater and actual seawater samples (Miyazaki Port and the mouth of Tsukunami River). After conventional softening, the sludges obtained from artificial seawater and both types of actual seawater samples yielded similar slopes in the plots of the reciprocal filtration rate versus the amount of passing water (with values of 4.40–4.80). The slope associated with the sludge obtained from the artificial seawater generated using SBF was less than 1/10 that of the conventionally softened sludge. The decreased slope of the reciprocal filtration rate implies the considerably improved water permeability of the sludge. The slope further decreased to 0.11–0.15 after the SBF of the actual seawater samples. Table S4 shows the Ruth constants44 K and C obtained through the dehydration test of each sample. The K and C values indicate the filtration resistances of a sludge cake and the filter medium, respectively. In the case of artificial seawater, the K and C values were 9.9 and 2.1 times higher, respectively, in case of the sludge generated via SBF than those in case of the sludge formed using conventional softening. In the sludges obtained from actual seawater, the K and C values were 34.5–45.5 and 3.9–8.9 times higher, respectively, after the SBF treatment than those after conventional softening. The sludge generated via SBF exhibited an extremely high permeability, and its dehydration was considerably better than that of the sludge formed using conventional softening.
2.11. Advantage of SBF
As a pretreatment process for RO membrane–based seawater desalination, we investigated an SBF treatment process that combines the existing softening process with ballasted flocculation–sedimentation for ultrahigh-speed precipitation. Based on the removal efficiencies of Ca2+ and Mg2+ and the amount of generated sludge, the Ca(OH)2 + Na2CO3 agent was determined as the best softening agent. The SBF process with the Ca(OH)2 + Na2CO3 agent effectively removed Ca2+ and Mg2+ from actual seawater samples and reduced the turbidity and bacterial counts in the seawater. Furthermore, the seawater samples with different salinities could be treated by adjusting the dosage of the alkaline agent. The settling velocities of magnesium hydroxide and calcium carbonate produced via conventional softening were extremely low and could not meet the requirements of pretreatment technologies for practical RO desalination.
By contrast, SBF increased the settling velocity by 833 times compared with that obtained via conventional softening while achieving the same water quality. The optimum SBF conditions for treating seawater with a salinity of 3.5% were determined as follows: pH = 11, alkaline agent = Ca(OH)2 + Na2CO3 at a dosage of 40 mL/L, anionic polymer flocculant = AP825B at a dosage of 20 mg/L, and microsand concentration = 10 g/L. The strongly alkaline treated seawater was easily neutralized to pH 5.8 via aeration using the carbon dioxide gas. The optimized SBF process reduced the SDI of seawater below the standard value (3.0) and considerably improved the dewatering property of the generated sludge compared with that of the sludge obtained via conventional softening.
Dissolved substances such as Ca2+ and Mg2+ cannot be removed by existing the pretreatment methods for RO membrane such as sand filtration and microfiltration (MF membrane) based on the principle of physical filtration. In addition, cleaning of sand and/or membrane is essential to maintain physical filtration. SBF can efficiently and rapidly remove the causative substances of RO membrane fouling from seawater and can greatly improve the treatability of the generated sludge. We therefore propose SBF as a new pretreatment process for RO membrane–based seawater desalination.