Salinity-adaptive seawater alkalization synergistic method

Abstract

The invention discloses a salinity-adaptive seawater alkalization synergistic method, and belongs to the field of ocean engineering and environmental protection. According to the seawater alkalization engineering alkalinity monitoring and control scheme based on water body treatment flow rate adjustment, an adaptive alkaline material is selected according to the salinity gradient of a treated water body, the target alkalinity of effluent is accurately set based on the salinity of inlet water, and the water body alkalinity is monitored in real time and compared with the target alkalinity; the alkalization effect is accurately controlled by dynamically adjusting the flow velocity of the treated water body. Aiming at water bodies with different salinity (low salinity lt, 0.5%, medium salinity of 0.5-25%, and high salinity gt, 25%), a differentiated alkalinity improvement target and an alkaline material formula are adopted. The system optimizes the residence time of the water body in the reaction kettle through an iterative decrement flow rate control strategy, and improves the alkalization efficiency. According to the method, the artificial storage increment of the atmospheric CO2 in the seawater alkalization process can be accurately calculated, an efficient and controllable technical scheme is provided for ocean negative emission engineering, and the method has important significance in relieving global climate change.

Description

Technical Field

[0001] This application relates to the fields of marine engineering and environmental protection, and specifically proposes a seawater alkalization enhancement method based on water treatment flow rate regulation and salinity adaptation. Background Technology

[0002] With the rapid development of global industrialization, large amounts of greenhouse gases, especially carbon dioxide (CO2), have been emitted into the atmosphere, leading to a series of severe environmental problems such as global warming, rising sea levels, and frequent extreme weather events. The ocean is the largest carbon sink on Earth, absorbing about a quarter of the total anthropogenic CO2 emissions. However, the ocean's continued absorption of CO2 has also led to a decrease in seawater pH and carbonate saturation, a phenomenon known as ocean acidification, which poses a serious threat to marine ecosystems, especially calcified organisms such as corals and shellfish.

[0003] Against this backdrop, Ocean Alkalinity Enhancement (OAE) has garnered significant attention as a potential technology for negative ocean emissions. Its core principle involves artificially increasing the total alkalinity (TA) of seawater by adding alkaline substances (such as olivine, calcium hydroxide, and sodium carbonate), thereby enhancing the seawater's ability to absorb atmospheric CO2 and converting the absorbed CO2 into more stable bicarbonates. and carbonates Formal sealing.

[0004] However, existing seawater alkalization technologies mainly suffer from the following problems: a lack of standardized alkalinity target setting methods based on influent salinity, affecting the predictability of alkalization effects; a lack of alkaline material adaptation schemes for water bodies with different salinity levels, leading to low alkalization efficiency; and a lack of effective real-time monitoring and flow rate control methods, making it difficult to accurately control the degree of alkalization. The calculation method for the amount of carbon sequestration is not accurate enough, which affects the assessment of carbon sequestration benefits.

[0005] In view of the above, this application is hereby submitted. Summary of the Invention

[0006] This application proposes a salinity-adaptive seawater alkalization enhancement method. It overcomes the problems of existing technologies by providing a solution based on water treatment flow rate adjustment, precise setting of influent salinity, target effluent alkalinity, and selection of alkaline materials to match salinity. This achieves real-time alkalinity monitoring and dynamic flow rate control, enabling a highly efficient and controllable seawater alkalization process and accurate evaluation. The sealing effect.

[0007] To achieve the above design objectives, the salinity-adaptive seawater alkalization enhancement method includes the following steps:

[0008] Step 1) Select alkaline material formulations based on salinity alkalinity targets;

[0009] Based on the preset alkalization process and the salinity data of the treated water, an alkalinity enhancement target is set and an alkaline material formulation is selected; the target alkalinity of the effluent is calculated based on the influent salinity value using the following formula:

[0010] ;

[0011] In the formula, TA x TA0 and TA0 represent the target alkalinity for water alkalization treatment and the initial alkalinity before treatment, respectively, in units of 1. Sal. refers to the salinity of the treated water, expressed in per mille (‰).

[0012] Step 2) Dynamic flow velocity iterative control;

[0013] The actual alkalinity of the treated water is monitored in real time, and the monitored actual alkalinity is compared with the target alkalinity set by the alkalization process to determine the alkalinity deviation.

[0014] Based on the alkalinity deviation, the flow rate of the treated water is adjusted to control the alkalinity of the treated water to approach the target alkalinity; wherein, the adjustment of the flow rate is achieved by controlling the operation of the inlet pump and / or the outlet pump;

[0015] Step 3) Calculate the incremental amount of the archive;

[0016] Based on the pump flow rate, running time, and alkalinity difference before and after water treatment, the anthropogenic increase in atmospheric CO2 sequestration after the alkalized water is discharged into the ocean is calculated.

[0017] The formula for calculating the incremental CO2 seawater sequestration is as follows:

[0018] ;

[0019] In the formula, ν(i) represents the increase in atmospheric CO2 sequestration by anthropogenic means, in tons of CO2; t(i) represents the water treatment runtime at flow rate ν(i), in hours; coefficients 0.9, 44, and 10. 6 These represent the CO2 absorption and sequestration coefficient per mol of seawater alkalinity, the molar mass of CO2, and the conversion coefficient from grams to tons.

[0020] Further, in step 1), when selecting alkaline materials based on salinity, the alkaline materials are selected from carbonates, silicates, alkaline oxides or combinations thereof, wherein the alkaline oxides include hydroxides, and the cations of the alkaline materials include at least one selected from sodium, potassium, magnesium, and calcium, and the solid-liquid ratio of the alkaline materials to the treated water is 1 to 10 wt%.

[0021] Further, in step 1), the alkaline material is selected according to the salinity range of the water body under the following conditions;

[0022] (a) When the salinity of the treated water is less than 5‰, an alkaline oxide substance, including calcium oxide, magnesium oxide, or sodium hydroxide, is selected, with a solid-liquid ratio of 5-10 wt%;

[0023] (b) When the salinity of the treated water is between 5‰ and 25‰, a calcium-free alkaline material, including magnesium silicate, magnesium hydroxide, sodium carbonate, etc., is selected, with a solid-liquid ratio of 3-7 wt%;

[0024] (c) When the salinity of the treated water exceeds 25‰, select alkaline minerals with relatively slow dissolution rate, preferably magnesium iron silicate, with a solid-liquid ratio of 1~3 wt%.

[0025] Further, in step 2), the initial flow rate of the treated water is set based on the volume of the water alkalization reactor and the cross-sectional area of ​​the reactor's inlet and outlet water pipes, and the flow rate is iteratively reduced for control. The initial flow rate is calculated as follows:

[0026] ;

[0027] In the formula, ν(0) is the initial flow velocity setting of the water to be treated, in units of... QQ represents the volume of the water alkalization reactor, in cubic meters (m³). 3 A represents the cross-sectional area of ​​the inlet and outlet water of the reactor, in meters. 2 ;6 is the initial residence time of the treated water in the reactor, that is, the residence time of the treated water at the initial water flow velocity ν(0) is 6 hours;

[0028] The water flow velocity is decreased iteratively based on whether the real-time monitored alkalinity has reached the target alkalinity. The formula for calculating the decreasing water flow velocity is as follows:

[0029] ;

[0030] In the formula, ν(i) represents the flow velocity of the water body after the i-th iteration, in units of... ; The residence time of the treated water in the alkalization reactor after the i-th iteration is expressed in hours.

[0031] Furthermore, in step 2), during the iterative water flow rate control process, 10 ml of the treated water is extracted and added... 0.1 M dilute hydrochloric acid was used, with 1 wt% to 5 wt% methyl orange as an indicator. If the water turned yellow, the flow was iteratively slowed down; if the water turned red, the current speed was maintained.

[0032] In summary, this application has the following main advantages and benefits compared with the prior art:

[0033] 1. This application sets alkalinity targets based on salinity, which can accurately set the target alkalinity of the effluent according to the salinity of the influent. The alkalinity of low salinity water (<5‰) is increased by 5 mmol / kg, that of medium salinity water (5-25‰) is increased by 3 mmol / kg, and that of high salinity water (>25‰) is increased by 1.5 mmol / kg, thereby achieving a differentiated alkalization treatment process.

[0034] 2. This application proposes a method for selecting alkaline materials that are compatible with salinity, namely, selecting appropriate types of alkaline materials (carbonates, silicates, alkaline oxides or hydroxides) and ratios according to the salinity of the water to be treated, thereby ensuring optimal alkalization efficiency.

[0035] 3. This application provides a dynamic flow rate control system, which monitors the alkalinity of the water in real time, compares it with the target alkalinity set based on salinity to obtain the deviation, and uses an iterative reduction control strategy to adjust the water flow rate so that the alkalinity of the treated water accurately approaches the target value.

[0036] 4. This application achieves The precise calculation of the sequestration volume, based on flow rate, runtime, and alkalinity difference, employs scientific calculation formulas to accurately assess the seawater alkalization process. The increase was artificially sealed off.

[0037] 5. This application has strong adaptability and promotion prospects, providing differentiated alkalinity targets and alkaline material formulations for water bodies with different salinity, thus improving the universality of the technology.

[0038] 6. Applying this application can significantly improve the efficiency of seawater alkalization. Through iterative optimization of the flow rate control strategy, the treatment efficiency is improved while ensuring the alkalization effect, and it is convenient for the scientific assessment of carbon sequestration benefits. Attached Figure Description

[0039] The present application will now be further described in conjunction with the following figures;

[0040] Figure 1 A system schematic diagram for implementing a seawater alkalization project using this application;

[0041] Figure 2This is a flowchart of the salinity-adaptive seawater alkalization enhancement method described in this application. Detailed Implementation

[0042] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to specific examples. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0043] Example 1, such as Figure 1 The schematic diagram of the alkalization engineering system shown is as follows: Figure 2 The flowchart shown illustrates a salinity-adaptive seawater alkalization enhancement method comprising the following steps:

[0044] Step 1) Select alkaline material formulations based on salinity alkalinity targets;

[0045] Based on the preset alkalization process and the salinity data of the treated water, an alkalinity enhancement target is set and an alkaline material formulation is selected; the target alkalinity of the effluent is calculated based on the influent salinity value using the following formula:

[0046] ;

[0047] In the formula, TA x TA0 and TA0 represent the target alkalinity for water alkalization treatment and the initial alkalinity before treatment, respectively, in units of 1. Sal. refers to the salinity of the treated water, expressed in per mille (‰).

[0048] When selecting alkaline materials based on salinity, the alkaline materials are selected from carbonates, silicates, alkaline oxides, or combinations thereof, wherein the alkaline oxides include hydroxides, and the cations of the alkaline materials include at least one selected from sodium, potassium, magnesium, and calcium. The solid-liquid ratio of the alkaline material to the treated water is 1-10 wt%.

[0049] Specifically, alkaline materials are selected based on the salinity range of the water body under the following conditions:

[0050] (a) When the salinity of the treated water is less than 5‰, the ionic strength is low and the buffering capacity is weak, but the risk of calcium carbonate precipitation is small and it can withstand a higher alkalinity increase (+5 mmol / kg); therefore, alkaline oxide substances, including calcium oxide, magnesium oxide or sodium hydroxide, are preferred, with a solid-liquid ratio of 5~10 wt%;

[0051] (b) When the salinity of the treated water is between 5‰ and 25‰, the ionic strength is moderate and has a certain buffering capacity. The alkalinity increase target is set at +3 mmol / kg to balance alkalization efficiency and precipitation risk. Therefore, calcium-free alkaline materials are selected, including magnesium silicate, magnesium hydroxide, sodium carbonate, etc., with a solid-liquid ratio of 3~7 wt%.

[0052] (c) When the salinity of the treated water exceeds 25‰, the ionic strength is high and the buffering capacity is strong, but the risk of calcium carbonate precipitation is high. Therefore, a conservative alkalinity increase target (+1.5 mmol / kg) is adopted. Thus, alkaline minerals with relatively slow dissolution rates are selected, preferably magnesium iron silicate, with a solid-liquid ratio of 1~3 wt%.

[0053] Step 2) Dynamic flow velocity iterative control;

[0054] The actual alkalinity of the treated water is monitored in real time, and the monitored actual alkalinity is compared with the target alkalinity set by the alkalization process to determine the alkalinity deviation.

[0055] Based on the alkalinity deviation, the flow rate of the treated water is adjusted to control the alkalinity of the treated water to approach the target alkalinity; wherein, the adjustment of the flow rate is achieved by controlling the operation of the inlet pump and / or the outlet pump;

[0056] Specifically, the initial flow velocity of the treated water is set based on the volume of the water alkalization reactor and the cross-sectional area of ​​the reactor's inlet and outlet pipes, and the flow velocity is controlled iteratively by decreasing the flow rate. The initial flow velocity is calculated as follows:

[0057] ;

[0058] In the formula, ν(0) is the initial flow velocity setting of the water to be treated, in units of... ; The volume of the water alkalization reactor is expressed in m³. 3 A represents the cross-sectional area of ​​the inlet and outlet water of the reactor, in meters. 2 ;6 is the initial residence time of the treated water in the reactor, that is, the residence time of the treated water at the initial water flow velocity ν(0) is 6 hours;

[0059] The water flow velocity is decreased iteratively based on whether the real-time monitored alkalinity has reached the target alkalinity. The formula for calculating the decreasing water flow velocity is as follows:

[0060] ;

[0061] In the formula, ν(i) represents the flow velocity of the water body after the i-th iteration, in units of... ; The residence time of the treated water in the alkalization reactor after the i-th iteration is expressed in hours.

[0062] During the iterative water flow velocity control process, 10 ml of the treated water was drawn and added... Using 0.1 mol / L dilute hydrochloric acid and 1 wt% to 5 wt% methyl orange as an indicator, if the water turns yellow, the water flow is iteratively slowed down; if the water turns red, the current speed is maintained.

[0063] Step 3) Calculate the incremental amount of the archive;

[0064] Based on the pump flow rate, running time, and alkalinity difference before and after water treatment, the anthropogenic increase in atmospheric CO2 sequestration after the alkalized water is discharged into the ocean is calculated.

[0065] The formula for calculating the incremental CO2 seawater sequestration is as follows:

[0066] ;

[0067] In the formula, ν(i) represents the increase in atmospheric CO2 sequestration by anthropogenic means, in tons of CO2; t(i) represents the water treatment runtime at flow rate ν(i), in hours; coefficients 0.9, 44, and 10. 6 These represent the CO2 absorption and sequestration coefficient per mol of seawater alkalinity, the molar mass of CO2, and the conversion coefficient from grams to tons.

[0068] Based on the above-mentioned seawater alkalization enhancement method, this embodiment provides a comprehensive comparison and explanation through the following different salinity conditions and corresponding treatment processes.

[0069] I. Alkalinization treatment of low-salinity water bodies (salinity 3‰);

[0070] The experimental equipment uses an alkalization reactor with a volume of 10 m³, an inlet and outlet water pipe cross-sectional area of ​​0.1 m², and is equipped with a variable frequency inlet and outlet water pump, a real-time alkalinity monitor, and an automatic control system.

[0071] The experimental steps are as follows:

[0072] 1. Preparation of alkaline materials: According to claim 2, for low salinity water (3‰), magnesium oxide is selected as the alkaline material, and the solid-liquid ratio of the alkaline material to the water to be treated is set to 8 wt%.

[0073] 2. Initial flow velocity setting: According to the formula in claim 4, the initial flow velocity is calculated as follows: v(0) = Q / (A·6) =10 / (0.1×6) = 16.67 m / h;

[0074] 3. Alkalinity target setting: Measure the initial alkalinity. According to claim 2, the target alkalinity :

[0075] 4. Iterative flow rate control:

[0076] a) 0th iteration: v(0) = 16.67 m / h, residence time 6 hours, alkalinity measured 5.8 mmol / kg;

[0077] b) First iteration: v(1) = 10 / (0.1×6×2¹) = 8.33 m / h, residence time 12 hours, alkalinity measured 6.9 mmol / kg;

[0078] c) Second iteration: v(2) = 10 / (0.1×6×2²) = 4.17 m / h, residence time 24 hours, alkalinity measured 7.3 mmol / kg;

[0079] 5. Alkalinity monitoring and verification: According to claim 6, take 10 ml of the treated water, add 72 ml of 0.1 M dilute hydrochloric acid (10 × 7.2), and use 3 wt% methyl orange indicator. If it turns red, it indicates that the target alkalinity has been reached. Maintain the current flow rate.

[0080] 6. Storage quantity calculation: After running for 48 hours, according to claim 7: .

[0081] Experimental results

[0082] The low-salinity water was alkalized with magnesium oxide, achieving the target alkalinity of 7.2 mmol / kg. The magnesium oxide reaction was mild and the alkalization effect was good. The system operated stably, verifying the rationality of setting the alkalinity target based on salinity.

[0083] II. Alkalization treatment of seawater with moderate salinity (salinity 15‰);

[0084] The experimental conditions were the same as those for the low-salinity water bodies mentioned above, using the same equipment system to treat seawater with a salinity of 15‰.

[0085] The experimental steps are as follows:

[0086] 1. Preparation of alkaline materials: According to claim 2, for medium salinity water (15‰), magnesium silicate is selected as the alkaline material, and the solid-liquid ratio is set to 5 wt%.

[0087] 2. Alkalinity target setting: Initial alkalinity Target alkalinity: ;

[0088] 3. Flow rate control process:

[0089] a) Initial flow velocity v(0) = 16.67 m / h;

[0090] b) After two iterations, the target alkalinity of 5.5 mmol / kg was reached at v(2) = 4.17 m / h;

[0091] 4. Separation efficiency: Within the same operating time, the efficiency of separation... The quantity reached 0.0086 tons.

[0092] Experimental results

[0093] Magnesium silicate was used to alkalize the medium-salinity water, successfully achieving the target alkalinity of 5.4 mmol / kg. Magnesium silicate, as a calcium-free material, avoided the problem of calcium carbonate precipitation, verifying the rationality of the alkalinity increase target (+3 mmol / kg) for medium-salinity water. The system operated efficiently.

[0094] III. Alkalinization treatment of high-salinity water bodies (salinity 35‰);

[0095] The experimental conditions were the same as those for the low-salinity water bodies mentioned above, using the same equipment system to treat standard seawater (salinity 35‰).

[0096] The experimental steps are as follows:

[0097] 1. Preparation of alkaline materials: According to claim 2, for high salinity water (35‰), magnesium iron silicate is selected as the alkaline material, and the solid-liquid ratio is set to 2 wt%.

[0098] 2. Alkalinity target setting: Initial alkalinity Target alkalinity: .

[0099] 3. Flow rate optimization:

[0100] a) Because the reaction rate is faster in high-salinity water, only one iteration is required;

[0101] b) The target alkalinity of 3.9 mmol / kg is achieved when v(1) = 8.33 m / h;

[0102] 4. Long-term operation test: After running continuously for 7 days, the system showed good stability.

[0103] a) Alkalinity fluctuation range: 3.8 ± 0.1 mmol / kg;

[0104] b) Sediment accumulation rate: 0.5 mm / day;

[0105] c) Cumulative CO2 sequestration: 0.145 tons;

[0106] Experimental results

[0107] High-salinity water bodies were alkalized using magnesium iron silicate. Although the alkalinity increase target was relatively conservative (+1.5 mmol / kg), magnesium iron silicate, as a slow-dissolving mineral, had a stable and controllable reaction, effectively avoiding the problem of rapid precipitation in high-salinity environments. Through precise flow rate control, stable and efficient alkalization treatment was achieved, verifying the scientific validity of setting alkalinity targets based on salinity gradation.

[0108] IV. Comparative Experiments with Different Alkaline Materials:

[0109] The experiment was designed to compare the alkalization effects of different calcium-free alkaline materials under the same salinity conditions (20‰):

[0110] Group A: Magnesium silicate

[0111] Group B: Magnesium hydroxide

[0112] Group C: Sodium carbonate

[0113] Comparison of experimental results

[0114]

[0115] The experimental results show that under medium salinity water conditions, sodium carbonate has the fastest reaction rate, followed by magnesium hydroxide, while magnesium silicate exhibits a relatively mild and stable reaction. All calcium-free alkaline materials were able to achieve the target alkalinity (initial alkalinity 2.4 + 3 = 5.4 mmol / kg), effectively avoiding precipitation problems caused by calcium ions, thus verifying the scientific validity and feasibility of selecting calcium-free alkaline materials based on salinity.

[0116] V. Application Verification of Magnesium Iron Silicate in High Salinity Environments

[0117] Experimental objective: To verify the alkalization effect and stability of magnesium iron silicate as a slow-dissolving alkaline mineral in a high-salinity seawater environment.

[0118] The experimental conditions are as follows:

[0119] • Water treatment: Natural seawater (salinity 34‰)

[0120] • Alkaline material: Magnesium iron silicate mineral powder

[0121] Solid-liquid ratio: 2.5 wt%

[0122] • Reactor volume: 10 m³

[0123] The experimental results are as follows:

[0124] 1. Solubility characteristics: Magnesium iron silicate exhibits a gradual dissolution in high salinity environments, avoiding the problem of local supersaturation caused by the instantaneous release of a large number of ions.

[0125] 2. Alkalization effect: 95% of the target alkalinity is achieved within 24 hours, and the target is fully met within 48 hours.

[0126] 3. Precipitation control: Compared with rapidly dissolving materials, magnesium iron silicate significantly reduces the risk of calcium carbonate precipitation, with a deposit accumulation rate of only 0.2 mm / day.

[0127] 4. System stability: After 14 days of continuous operation, the alkalinity control accuracy remained within ±0.05 mmol / kg.

[0128] Therefore, it can be seen that the low-speed dissolution characteristics of magnesium iron silicate match the high buffering capacity of high-salinity seawater, realizing the stable and controllable alkalization process and providing an ideal alkaline material selection for large-scale seawater alkalization projects.

[0129] VI. Verification of the flow rate control algorithm;

[0130] Experimental objective: To determine the effectiveness of the iterative flow rate control algorithm;

[0131] Experimental method: Under different initial conditions, the number of iterations and total time required to reach the target alkalinity were recorded, as shown in the table below;

[0132]

[0133] Verification results: The experimental data fully conforms to the prediction of the formula v(i) = Q / (A·6·2^i), proving the accuracy and practicality of the iterative control algorithm.

[0134] The above description is merely a preferred embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for enhancing seawater alkalization efficiency based on salinity adaptation, characterized in that: Includes the following steps, Step 1) Select alkaline material formulations based on salinity alkalinity targets; Based on the preset alkalization process and the salinity data of the water to be treated, set the alkalinity enhancement target and select the alkaline material formula; The target alkalinity of the effluent is set based on the influent salinity value and calculated using the following formula: ； In the formula, TA x TA0 and TA0 represent the target alkalinity for water alkalization treatment and the initial alkalinity before treatment, respectively, in units of 1. Sal. refers to the salinity of the treated water, expressed in per mille (‰). Step 2) Dynamic flow velocity iterative control; The actual alkalinity of the treated water is monitored in real time, and the monitored actual alkalinity is compared with the target alkalinity set by the alkalization process to determine the alkalinity deviation. Based on the alkalinity deviation, the flow rate of the treated water is adjusted to control the alkalinity of the treated water to approach the target alkalinity; wherein, the adjustment of the flow rate is achieved by controlling the operation of the inlet pump and / or the outlet pump; Step 3) Calculate the incremental amount of the archive; Based on the pump flow rate, running time, and alkalinity difference before and after water treatment, the anthropogenic increase in atmospheric CO2 sequestration after the alkalized water is discharged into the ocean is calculated. The formula for calculating the incremental CO2 seawater sequestration is as follows: ； In the formula, t(i) represents the increase in atmospheric CO2 due to anthropogenic sequestration, in tons of CO2; t(i) represents the water treatment runtime at flow rate ν(i), in hours. Coefficients 0.9, 44 and 10 6 These represent the CO2 absorption and sequestration coefficient per mol of seawater alkalinity, the molar mass of CO2, and the conversion coefficient from grams to tons.

2. The salinity-adaptive seawater alkalization enhancement method according to claim 1, characterized in that: In step 1), when selecting alkaline materials based on salinity, the alkaline materials are selected from carbonates, silicates, alkaline oxides or combinations thereof, wherein the alkaline oxides include hydroxides, and the cations of the alkaline materials include at least one selected from sodium, potassium, magnesium, and calcium, and the solid-liquid ratio of the alkaline materials to the treated water is 1 to 10 wt%.

3. The salinity-adaptive seawater alkalization enhancement method according to claim 2, characterized in that: Step 1) involves selecting alkaline materials based on the salinity range of the water body, and proceeding under the following conditions. (a) When the salinity of the treated water is less than 5‰, an alkaline oxide substance, including calcium oxide, magnesium oxide, or sodium hydroxide, is selected, with a solid-liquid ratio of 5-10 wt%; (b) When the salinity of the treated water is between 5‰ and 25‰, a calcium-free alkaline material, including magnesium silicate, magnesium hydroxide, sodium carbonate, etc., is selected, with a solid-liquid ratio of 3-7 wt%; (c) When the salinity of the treated water exceeds 25‰, select alkaline minerals with relatively slow dissolution rate, preferably magnesium iron silicate, with a solid-liquid ratio of 1~3 wt%.

4. The salinity-adaptive seawater alkalization enhancement method according to claim 1, characterized in that: Step 2) involves setting the initial flow velocity of the treated water based on the volume of the water alkalization reactor and the cross-sectional area of ​​the reactor's inlet and outlet pipes, and then iteratively reducing the flow velocity control. The initial flow velocity is calculated as follows: ； In the formula, ν(0) is the initial flow velocity setting of the water to be treated, in units of... ; The volume of the water alkalization reactor is expressed in m³. 3 A represents the cross-sectional area of ​​the inlet and outlet water of the reactor, in meters. 2 ;6 is the initial residence time of the treated water in the reactor, that is, the residence time of the treated water at the initial water flow velocity ν(0) is 6 hours; The water flow velocity is decreased iteratively based on whether the real-time monitored alkalinity has reached the target alkalinity. The formula for calculating the decreasing water flow velocity is as follows: ； In the formula, ν(i) represents the flow velocity of the water body after the i-th iteration, in units of... ; The residence time of the treated water in the alkalization reactor after the i-th iteration is expressed in hours.

5. The salinity-adaptive seawater alkalization enhancement method according to claim 4, characterized in that: In step 2), during the iterative water flow rate control process, 10 ml of the treated water is extracted and added... Using 0.1 mol / L dilute hydrochloric acid and 1 wt% to 5 wt% methyl orange as an indicator, if the water turns yellow, the water flow is iteratively slowed down; if the water turns red, the current speed is maintained.

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