River ecological substrate restoration method and system based on water quality cooperative regulation and control

Abstract

The invention belongs to the technical field of riverway ecological restoration, and provides a riverway ecological substrate restoration method and system based on water quality cooperative regulation, and the method comprises the following steps: collecting riverway water body emerging and conventional pollutant concentration parameters, and extracting substrate surface biofilm respiratory metabolism activity indexes; a pollutant-metabolic activity coupling inhibition model is constructed based on a BP neural network, the biological inhibition rate is calculated, corresponding structural analogue inducers and quorum sensing signal molecules are matched from a pre-constructed medicament matching library according to the biological inhibition rate, and the quorum sensing signal molecules and the structural analogue inducers are dispersed through a porous gradient diffusion system in a substrate. Non-uniformly conveying the medicament according to the distribution difference of microorganisms; a pulse type weak micro-current is applied to a substrate area, the migration of charged emerging pollutants to a high-activity area of the substrate is accelerated by virtue of a micro-electric field effect, and meanwhile, microorganisms are induced to generate high-activity degrading enzymes by virtue of primary oxygen generated in situ by virtue of a micro-electric field and a synergistic agent, so that the enhanced degradation of the emerging pollutants is realized.

Description

Technical Field

[0001] This invention belongs to the field of river ecological restoration technology, specifically a method and system for river ecological base restoration based on water quality synergistic regulation. Background Technology

[0002] River ecological restoration has shifted from simply achieving water quality standards to the comprehensive restoration of the ecological environment system. The riverbed ecological substrate, as the core area for material exchange and biotransformation at the interface between water and riverbed sediment, plays a crucial role in degrading organic pollutants, transforming nutrients, and maintaining biodiversity. Current riverbed restoration methods primarily employ artificial filler material addition, submerged plant planting, and microbial enhancement, mainly targeting the removal of conventional pollutants such as total nitrogen, total phosphorus, and COD.

[0003] As urban river pollution becomes increasingly complex, emerging pollutants such as antibiotics, microplastics, and endocrine disruptors are accumulating in water bodies, significantly hindering traditional ecological substrate remediation. Residual antibiotics and other pollutants can easily cause toxicity and antagonism to functional microorganisms in the substrate, inhibiting community metabolic activity and inducing the spread of drug-resistant genes, leading to the failure of biochemical degradation pathways. Microplastics and other pollutants can alter the substrate's pore structure, interfere with microbial quorum sensing mechanisms, and trigger abnormal extracellular polymer secretion, resulting in substrate blockage and decreased biological activity. Existing remediation systems are mostly statically designed, making it difficult to respond in real time to fluctuations in the concentration of emerging pollutants. Sudden increases in pollutant concentrations can easily lead to widespread microbial inactivation, causing the remediation system to collapse and making self-recovery difficult.

[0004] In summary, existing riverbed remediation technologies focus only on the removal of conventional pollutants, neglecting the deep inhibition of the substrate microbial system by emerging pollutants. In complex polluted water bodies, these technologies suffer from unstable remediation efficiency, easily suppressed microbial activity, and a lack of adaptive regulation capabilities. Developing riverbed ecological remediation methods and systems that can coordinate with water quality changes and resist the inhibitory effects of emerging pollutants has become an urgent technical challenge in this field.

[0005] To this end, this invention has developed a method and system for river ecological base restoration based on water quality synergistic regulation. Summary of the Invention

[0006] In order to overcome the shortcomings of the prior art, at least one technical problem raised in the background art is solved.

[0007] The technical solution adopted by this invention to solve its technical problem is: One of the objectives of this invention is to provide a method for river ecological base restoration based on synergistic water quality regulation, comprising: S1: Real-time collection of pollutant concentration parameters in river water, extraction of respiratory and metabolic activity indicators of the basal surface biofilm, construction of a pollutant-metabolic activity coupled inhibition model, and calculation of the bioinhibition rate of the basal microbial community; S2: Based on the bioinhibition rate of the basal microbial community, match the corresponding structural analog inducer and quorum sensing signal molecule; S3: Utilizing a porous gradient diffusion system pre-installed within the substrate, structural analog inducers and quorum sensing signal molecules are non-uniformly delivered based on the differences in microbial distribution at the substrate depth. S4: Apply a pulsed weak current to the substrate region to accelerate the migration of charged emerging pollutant molecules to the highly active area of ​​the substrate using the pulsed weak electric field effect. Utilize the nascent oxygen generated by the micro-electric field, along with structural analog inducers and quorum sensing signal molecules, to induce substrate microorganisms to produce highly active degradation enzymes, thereby achieving enhanced degradation of emerging pollutants.

[0008] As a further improvement of the present invention, the pollutant concentration parameter specifically includes: Water pollutant concentration parameters include: emerging pollutant concentrations and conventional pollutant concentrations; Emerging pollutant concentrations include: real-time concentrations of antibiotics, microplastics, and endocrine disruptors; The concentrations of common pollutants include: real-time concentrations of total nitrogen, total phosphorus, COD, and ammonia nitrogen.

[0009] As a further improvement of the present invention, the respiratory metabolic activity indicators of the basal surface biomembrane specifically include: Indicators of respiratory metabolic activity include microbial respiration rate, ATP content, and dehydrogenase activity.

[0010] As a further improvement of the present invention, the specific process of constructing the pollutant-metabolic activity coupling inhibition model is as follows: Abnormal data on water pollutant concentration parameters and respiratory metabolic activity indicators of substrate surface biofilm were removed and normalized. Using water pollutant concentration parameters as the input layer vector and substrate surface biofilm respiratory metabolic activity indicators as the output layer vector, and using a BP neural network as the framework, a pollutant-metabolic activity coupling inhibition model was constructed through sample training and fitting optimization.

[0011] As a further improvement of the present invention, the specific process for calculating the bioinhibition rate of the basal microbial community is as follows: The pollutant concentration parameters in the water body and the respiratory and metabolic activity indicators of the substrate surface biofilm are input into the pollutant-metabolic activity coupling inhibition model that has been constructed. The pollutant-metabolic activity coupling inhibition model outputs the bioinhibition rate of the substrate microbial community.

[0012] As a further improvement of the present invention, the specific process of matching the corresponding structural analog inducer and quorum sensing signal molecule based on the bioinhibition rate of the basal microbial community is as follows: A biological inhibition rate-regulating agent matching library was constructed. The biological inhibition rate was divided into three inhibition rate intervals: low inhibition level, medium inhibition level, and high inhibition level. The types, ratios, and dosages of structural analog inducers and quorum sensing signal molecules corresponding to each interval were configured. The biological inhibition rate of the basal microbial community was compared with the inhibition rate intervals in the biological inhibition rate-regulating agent matching library to determine the target interval of biological inhibition rate and the corresponding structural analog inducers and quorum sensing signal molecules.

[0013] As a further improvement of the present invention, the specific process of non-uniformly delivering the structural analog inducer and quorum sensing signal molecules is as follows: The structure analog inducer and quorum sensing signal molecule are introduced into a porous gradient diffusion system pre-laid in the substrate. The structure analog inducer and quorum sensing signal molecule are non-uniformly delivered to different depth regions of the substrate through gradient release control of the porous gradient diffusion system. The porous gradient diffusion system is a porous tubular release device arranged along the depth direction of the substrate, and the tube wall is provided with release pores of different pore sizes and densities.

[0014] As a further improvement of the present invention, the specific process of applying a pulsed weak current to the substrate region and using the pulsed weak electric field effect to accelerate the migration of charged emerging pollutant molecules to the highly active region of the substrate is as follows: A pulsed weak current is applied to the substrate region to form a pulsed weak electric field inside the substrate. Specifically, the pulsed weak current is applied by electrode modules that are pre-deployed on both sides and deep within the substrate. Under the effect of the pulsed weak electric field, the charged emerging pollutant molecules in the substrate undergo directional migration and accumulate in the highly active regions of the substrate. The highly active regions of the substrate are the upper and middle layers of the substrate where structural analog inducers and quorum sensing signal molecules are non-uniformly targeted.

[0015] As a further improvement of the present invention, the specific process for achieving enhanced degradation of emerging pollutants is as follows: A pulsed weak electric field generates primary oxygen in situ within the substrate. This primary oxygen, along with structure analog inducers and quorum sensing signaling molecules that have been targeted and delivered to highly active regions of the substrate, jointly activates the metabolic regulatory pathways of substrate microorganisms. This induces substrate microorganisms to efficiently express and secrete highly active degradation enzymes. Through the catalytic decomposition of emerging pollutants by these highly active degradation enzymes, the enhanced degradation of emerging pollutants is achieved.

[0016] The second objective of this invention is to provide a river ecological base restoration system based on synergistic water quality regulation, comprising: Bioinhibition rate calculation module: Real-time collection of pollutant concentration parameters in river water, extraction of respiratory and metabolic activity indicators of the basal surface biofilm, construction of pollutant-metabolic activity coupled inhibition model, and calculation of bioinhibition rate of basal microbial community; Inducer and signaling molecule matching module: Based on the bioinhibition rate of the basal microbial community, it matches the corresponding structural analog inducers and quorum sensing signaling molecules; Porous gradient diffusion dosing module: Utilizing a porous gradient diffusion system pre-installed in the substrate, structural analog inducers and quorum sensing signal molecules are non-uniformly delivered based on the differences in microbial distribution at the substrate depth. Pulsed electric field synergistic enhancement degradation module: A pulsed weak current is applied to the substrate region. The pulsed weak electric field effect accelerates the migration of charged emerging pollutant molecules to the highly active region of the substrate. The nascent oxygen generated by the micro electric field, along with structural analog inducers and quorum sensing signal molecules, induces the substrate microorganisms to produce highly active degradation enzymes, thereby achieving enhanced degradation of emerging pollutants.

[0017] The beneficial effects of this invention are as follows: 1. By collecting pollutant concentration and microbial activity indicators in real time, a coupled inhibition model is constructed and the bio-inhibition rate is calculated. This allows for the matching and adjustment of reagents based on dynamic changes in water quality, solving the problems of static layout and inability to respond to pollutant concentration fluctuations in traditional remediation systems, and preventing large-scale microbial inactivation and system collapse. Addressing the toxicity, antagonism, and mechanistic interference of emerging pollutants such as antibiotics and microplastics on substrate microorganisms, structural analog inducers activate microbial degradation genes, and quorum sensing signaling molecules enhance microbial synergy, overcoming the technical bottleneck of traditional remediation methods that only target conventional pollutants and fail to degrade emerging pollutants.

[0018] 2. Utilizing a porous gradient diffusion system to non-uniformly deliver reagents based on the differences in microbial distribution at substrate depth, combined with a pulsed weak electric field to accelerate the accumulation of charged emerging pollutants in highly active areas of the substrate, significantly increases the probability of contact between pollutants and microorganisms, achieving precise targeting of both the reagent and the degradation process. The primary oxygen generated in situ by the pulsed weak electric field, in synergistically with inducers and signaling molecules, activates microbial metabolic regulatory pathways, inducing the production of highly active degradation enzymes. This not only enhances the catalytic decomposition capacity of microorganisms for emerging pollutants but also regulates microbial community behavior, strengthening the overall stability and metabolic activity of the substrate microbial community.

[0019] 3. The remediation method simultaneously incorporates the monitoring and regulation of conventional pollutants such as total nitrogen and total phosphorus, as well as emerging pollutants such as antibiotics and microplastics. This enables the synchronous degradation of both types of pollutants by the river's ecological substrate, comprehensively improving the river's water quality remediation effect. By restoring the normal metabolic and degradation functions of substrate microorganisms, it improves the material exchange and biotransformation processes at the substrate sediment interface, alleviating problems such as substrate blockage and decreased biological activity. This lays a core ecological foundation for maintaining river biodiversity and promotes the river's ecological development from simply meeting water quality standards to the comprehensive restoration of the habitat system. Attached Figure Description

[0020] The invention will now be further described with reference to the accompanying drawings.

[0021] Figure 1 This is a flowchart of the steps of the river ecological base restoration method based on water quality synergistic regulation of the present invention; Figure 2 This is a system module diagram of the river ecological base restoration system based on water quality synergistic regulation, which is the subject of this invention. Detailed Implementation

[0022] To make the technical means, creative features, objectives and effects of this invention easier to understand, the invention will be further described below in conjunction with specific embodiments.

[0023] Example 1 like Figure 1 As shown in the embodiment of the present invention, the method for river ecological base restoration based on water quality synergistic regulation includes: S1: Real-time collection of pollutant concentration parameters in river water, extraction of respiratory and metabolic activity indicators of the basal surface biofilm, construction of a pollutant-metabolic activity coupled inhibition model, and calculation of the bioinhibition rate of the basal microbial community; In S1, the specific process for real-time collection of pollutant concentration parameters in the river water is as follows: Online water quality monitoring probes (including online antibiotic monitoring probes, online microplastic monitoring probes, endocrine disruptor monitoring probes, and conventional water quality monitoring probes) are deployed at the cross-section of the river to be restored to collect real-time water pollutant concentration parameters. Among them, the water pollutant concentration parameters include the concentrations of emerging pollutants and conventional pollutants. The concentrations of emerging pollutants include the real-time concentrations of antibiotics, microplastics, and endocrine disruptors; the concentrations of conventional pollutants include the real-time concentrations of total nitrogen, total phosphorus, COD, and ammonia nitrogen. For example, section A of a polluted river in a city to be restored is selected as a monitoring point. Real-time data collection of pollutant concentration parameters in the water is completed at time T0 using an online water quality monitoring probe. Specific data are as follows: Emerging pollutant concentration parameters: Real-time antibiotic concentration: 125.5 ng / L; Real-time microplastic concentration: 45 particles / L; Real-time concentration of endocrine disruptor: 85.2 ng / L; Common pollutant concentration parameters: Real-time total nitrogen (TN) concentration: 4.5 mg / L; Real-time total phosphorus (TP) concentration: 0.6 mg / L; Real-time chemical oxygen demand (COD) concentration: 45.0 mg / L; Real-time concentration of ammonia nitrogen (NH3-N): 2.8 mg / L; The real-time concentration data collected above will be used as initial input parameters and stored in the system database for the construction and calculation of the pollutant-metabolic activity coupling inhibition model. In S1, the specific process for extracting respiratory metabolic activity indicators from the basal surface biomembrane is as follows: Biofilm samples from the surface layer of the riverbed ecological substrate (0–2 cm) were collected using a sterile sampler, and sediment particles and impurities were removed. Microbial activity detection methods (such as dissolved oxygen respiration rate method, ATP fluorescence detection method, and dehydrogenase activity detection method) were used to extract and measure respiratory metabolic activity indicators of the biofilm on the substrate surface. These indicators included microbial respiration rate, ATP content, and dehydrogenase activity. The processed data were used to construct a coupled inhibition model and calculate the biological inhibition rate. For example, at section A of the polluted river channel to be restored, biofilm samples of 0–2 cm from the surface of the ecological substrate were simultaneously collected using a sterile sampler. After laboratory pretreatment to remove sediment particles and impurities, respiratory metabolic activity indicators were extracted and measured using the dissolved oxygen respiration rate method, ATP fluorescence detection method, and dehydrogenase activity detection method, respectively. The specific measured data are as follows: Microbial respiration rate: The measured value was 12.4 mgO2 / (g·h); ATP content: 45.6 nmol / g; Dehydrogenase activity: The measured value was 118.5 μgTF / (g·h); The measured data of respiratory and metabolic activity indicators of the basal surface biofilm will be recorded simultaneously with the previously collected water pollutant concentration parameters (antibiotics 125.5 ng / L, TN 4.5 mg / L, etc.) as the basic data of the output layer for constructing the pollutant-metabolic activity coupling inhibition model, so as to prepare for subsequent normalization and inhibition rate calculation. In S1, the specific process of constructing the pollutant-metabolic activity coupling inhibition model is as follows: Real-time collected water pollutant concentration parameters (including emerging pollutant concentrations and conventional pollutant concentrations) and basal surface biofilm respiratory metabolic activity indicators (including microbial respiration rate, ATP content, and dehydrogenase activity) were preprocessed to remove outliers and normalize the data. Using water pollutant concentration parameters as the input layer vector and basal surface biofilm respiratory metabolic activity indicators as the output layer vector, a pollutant-metabolic activity coupling inhibition model was constructed using a backpropagation neural network. Through sample training and fitting optimization, the quantitative inhibition mapping relationship between water pollutant concentration parameters and basal surface biofilm respiratory metabolic activity indicators was determined. For example, historical sample data and the aforementioned real-time measured data are retrieved, and the data are mapped to the [0,1] interval using the Min-Max normalization method; for the aforementioned collected water pollutant concentration parameters (input layer vector X): Antibiotic (measured at 125.5 ng / L, set interval [0, 200]), normalized value 0.6275; Microplastics (measured at 45 particles / L, set range [0,100]), normalized value 0.4500; Endocrine disruptor (measured at 85.2 ng / L, set interval [0, 150]), normalized value 0.5680; Total nitrogen (measured at 4.5 mg / L, set interval [0,10]), normalized value 0.4500; Total phosphorus (measured at 0.6 mg / L, set interval [0, 2.0]), normalized value 0.3000; COD (measured 45.0 mg / L, set interval [0, 100]), normalized value 0.4500; Ammonia nitrogen (measured at 2.8 mg / L, set interval [0, 5.0]), normalized value 0.5600; Thus, the input layer vector X = [0.6275, 0.4500, 0.5680, 0.4500, 0.3000, 0.4500, 0.5600] is constructed; Regarding the aforementioned measured indicators of respiratory and metabolic activity of the basal surface biomembrane (output layer vector Y): Microbial respiration rate (measured 12.4 mg O2 / (g·h), set interval [0,30]), normalized value 0.4133; ATP content (measured 45.6 nmol / g, set interval [0, 100]), normalized value 0.4560; Dehydrogenase activity (measured at 118.5 μg TF / (g·h), set interval [0, 250]), normalized value 0.4740; Therefore, the output layer vector Y = [0.4133, 0.4560, 0.4740] is constructed; The backpropagation neural network topology is set to 7-10-3 (i.e., 7 nodes in the input layer, 10 nodes in the hidden layer, and 3 nodes in the output layer); the initial learning rate is set to 0.01, and the target error is set to 1.0 × 10⁻⁶. -5 The maximum number of iterations is 1000. The model was trained using a sample set including the normalized vectors mentioned above; after fitting optimization, the mean squared error (MSE) of the model decreased to 0.95 × 10⁻⁶ at the 452nd iteration. -5 The model reached the convergence criterion and successfully established the quantitative inhibition mapping relationship between the input layer vector X (water pollutant concentration parameter) and the output layer vector Y (basal surface biofilm respiratory and metabolic activity index). The model was saved and used for subsequent calculation of biological inhibition rate. In S1, the specific process for calculating the bioinhibition rate of the basal microbial community is as follows: The pollutant concentration parameters (including emerging pollutant concentrations and conventional pollutant concentrations) collected in real time and pre-processed in the water body, along with the respiratory and metabolic activity indicators of the basal surface biofilm (including microbial respiration rate, ATP content, and dehydrogenase activity), are input into the constructed pollutant-metabolic activity coupling inhibition model. The pollutant-metabolic activity coupling inhibition model compares and calculates the difference between the measured respiratory and metabolic activity indicators of the basal surface biofilm and the preset baseline metabolic activity under no-inhibition conditions, and outputs the bioinhibition rate of the basal microbial community. This bioinhibition rate serves as the basis for subsequent matching of structural analog inducers and quorum sensing signaling molecules. For example, the respiratory and metabolic activity indicators of the basal surface biofilm obtained in the aforementioned steps (microbial respiration rate 12.4 mg O2 / (g·h), ATP content 45.6 nmol / g, dehydrogenase activity 118.5 μg TF / (g·h)) are input into the trained and converged pollutant-metabolic activity coupling inhibition model; The pollutant-metabolic activity coupling inhibition model retrieves baseline metabolic activity data under a preset uninhibited state, specifically: baseline microbial respiration rate 22.0 mgO2 / (g·h), baseline ATP content 80.0 nmol / g, and baseline dehydrogenase activity 210.0 μgTF / (g·h); The pollutant-metabolic activity coupling inhibition model compares and calculates the difference between measured values ​​and baseline values ​​to determine the degree of inhibition for each individual indicator. Microbial respiration rate inhibition rate = (22.0 - 12.4) / 22.0 × 100% = 43.64%; ATP content inhibition rate = (80.0 - 45.6) / 80.0 × 100% = 43.00%; Dehydrogenase activity inhibition rate = (210.0 - 118.5) / 210.0 × 100% = 43.57%; The pollutant-metabolic activity coupling inhibition model integrates the calculation results of the above individual indicators, and after equal weight averaging, finally outputs a comprehensive bioinhibition rate of 43.40% for the basal microbial community of this section. This bioinhibition rate (43.40%) is recorded by the system and serves as a direct quantitative basis for matching the corresponding structural analog inducer and quorum sensing signal molecule in the subsequent S2 step. S2: Based on the bioinhibition rate of the basal microbial community, match the corresponding structural analog inducer and quorum sensing signal molecule; In S2, the specific process of matching the corresponding structural analog inducer with the quorum sensing signal molecule based on the bioinhibition rate of the basal microbial community is as follows: A biological inhibition rate-regulating agent matching library is pre-constructed. The biological inhibition rate is divided into three inhibition rate ranges: low inhibition level (0%~20%), medium inhibition level (20%~50%), and high inhibition level (50%~100%). The types, ratios, and dosages of structural analog inducers corresponding to each range are pre-configured. For example, the structural analog inducer may be a phenolic inducer, with a dosage of 50-100 mg / L in the low inhibition level range, 100-150 mg / L in the medium inhibition level range, and 150-200 mg / L in the high inhibition level range. The present invention does not limit this dosage. Simultaneously configure the types, ratios, and dosages of quorum sensing signal molecules corresponding to each interval; For example, the quorum sensing signal molecule may be an acylated homoserine lactone signal molecule, with a dosage of 10-30 nmol / L in the low inhibition level range, 30-60 nmol / L in the medium inhibition level range, and 60-100 nmol / L in the high inhibition level range. This invention does not limit the dosage in this respect. The bioinhibition rate of the basal microbial community calculated by S1 is compared with the bioinhibition rate - The inhibition rate ranges within the regulatory agent matching library are compared to determine the target range to which the biological inhibition rate belongs. The corresponding structural analog inducers and quorum sensing signal molecules within the target range are retrieved and identified to complete the matching of regulatory agents. The matched structural analog inducers are used to activate the degradation genes and metabolic pathways of the substrate microorganisms, thereby improving the substrate microorganisms' metabolic capacity and degradation activity for water pollutants; the matched quorum sensing signaling molecules are used to regulate the quorum behavior of the substrate microorganisms, strengthen the synergistic effect among microorganisms, and enhance the overall stability and remediation efficiency of the substrate microbial community.

[0024] For example, the comprehensive bioinhibition rate (43.40%) of the basal microbial community of the river section A to be restored, calculated in step S1, is input into the bioinhibition rate-regulatory agent matching library for comparison. The comparison determines that the bioinhibition rate (43.40%) falls within the medium inhibition level (20%–50%) range. Then, the corresponding regulator type and dosage parameters for this target range are retrieved. The specific matching scheme is as follows: Structural analog inducer: A phenolic inducer was selected. Based on the ratio requirement of the medium inhibition level range (100-150 mg / L) and considering the relatively high inhibition level of 43.40%, the target dosage was calculated and determined to be 135.0 mg / L by proportional interpolation. Quorum sensing signal molecule: An acylated homoserine lactone signal molecule was selected. Based on the ratio requirement of the medium inhibition level range (30-60 nmol / L), the target dosage was similarly determined to be 48.0 nmol / L. The phenolic inducer (135.0 mg / L) and the acylated homoserine lactone signal molecule (48.0 nmol / L) determined above will be used as the total dosage reference for the mixed regulatory agent and output to the porous gradient diffusion system in the subsequent S3 step for non-uniform delivery. S3: Utilizing a porous gradient diffusion system pre-installed within the substrate, structural analog inducers and quorum sensing signal molecules are non-uniformly delivered based on the differences in microbial distribution at the substrate depth. In S3, the specific process of non-uniformly delivering structural analog inducers and quorum sensing signal molecules using a pre-installed porous gradient diffusion system within the substrate, based on differences in microbial distribution at substrate depth, is as follows: The structure analog inducer and quorum sensing signal molecule determined by S2 matching are introduced into a porous gradient diffusion system pre-laid in the substrate; The porous gradient diffusion system is a porous tubular release device arranged along the depth direction of the substrate. The tube wall is provided with release holes of different diameters and densities, which can realize segmented and non-uniform gradient delivery. Based on the differences in the distribution of substrate microorganisms at different depths of the substrate, the structure analog inducer and quorum sensing signal molecules are non-uniformly delivered to different depth regions of the substrate through gradient release control of a porous gradient diffusion system. This allows the structure analog inducer and quorum sensing signal molecules to target the substrate microbial community at the corresponding depth, ensuring that substrate microorganisms at different depths of the substrate can be effectively activated and regulated. The porous gradient diffusion system is divided into three release regions along the depth direction of the substrate: an upper region, a middle region, and a lower region. The upper region corresponds to a delivery volume of 30% to 40% of the total dosage, the middle region corresponds to a delivery volume of 40% to 50% of the total dosage, and the lower region corresponds to a delivery volume of 10% to 20% of the total dosage. For example, the total dosage reference reagents (phenolic inducer 135.0 mg / L, acylated homoserine lactone signaling molecule 48.0 nmol / L) determined in step S2 are introduced into a porous gradient diffusion system pre-placed in the substrate of the river section A to be repaired; Based on the distribution characteristics of the basal microbial community in this cross section, which was enriched in the middle layer, moderately enriched in the upper layer, and impoverished in the lower layer, the non-uniform gradient transport ratio of each release area was set as follows: 35% of the total dosage in the upper layer, 50% in the middle layer, and 15% in the lower layer. The actual targeted delivery volume in each depth region is as follows, controlled by a multi-hole tubular release device in sections: Upper area (35% conveying ratio): Actual delivery rate of phenolic inducers: 135.0 mg / L × 35% = 47.25 mg / L; Actual delivery rate of acylated homoserine lactone signaling molecules: 48.0 nmol / L × 35% = 16.80 nmol / L; Mid-level area (50% delivery ratio): Actual delivery rate of phenolic inducer: 135.0 mg / L × 50% = 67.50 mg / L; Actual delivery rate of acylated homoserine lactone signaling molecules: 48.0 nmol / L × 50% = 24.00 nmol / L; Lower layer area (15% conveying ratio): Actual delivery rate of phenol inducer: 135.0 mg / L × 15% = 20.25 mg / L; Actual delivery rate of acylated homoserine lactone signaling molecules: 48.0 nmol / L × 15% = 7.20 nmol / L; After the above-mentioned non-uniform gradient delivery is completed, the upper and middle layers of the substrate (accounting for 85% of the total dosage) are covered with a high concentration of reagent, which is defined as a highly active area of ​​the substrate, providing a target for the directed migration and enhanced degradation of emerging pollutant molecules driven by the pulsed weak electric field in the subsequent S4 step. S4: Apply a pulsed weak current to the substrate region to accelerate the migration of charged emerging pollutant molecules to the highly active area of ​​the substrate using the pulsed weak electric field effect. Utilize the nascent oxygen generated by the micro-electric field, along with structural analog inducers and quorum sensing signal molecules, to induce substrate microorganisms to produce highly active degradation enzymes, thereby achieving enhanced degradation of emerging pollutants.

[0025] In S4, the specific process of applying a pulsed weak current to the substrate region and using the pulsed weak electric field effect to accelerate the migration of charged emerging pollutant molecules to the highly active region of the substrate is as follows: A pulsed weak current is applied to the substrate region to form a pulsed weak electric field inside the substrate; wherein, the pulsed weak current is applied by electrode modules that are pre-deployed on both sides and deep layers of the substrate, and the electrode modules are spaced apart along the substrate plane and depth direction to ensure that the electric field covers the entire substrate area. The highly active region of the substrate is the upper and middle layer of the substrate where the structural analog inducer and quorum sensing signal molecules are non-uniformly targeted. Under the action of the pulsed weak electric field effect, the charged emerging pollutant molecules in the substrate migrate in a directional manner and accumulate in the above-mentioned highly active region of the substrate, thereby increasing the contact probability between emerging pollutants and substrate microorganisms and providing a basis for subsequent enhanced degradation. For example, in the base region of the river section A to be repaired, a pulsed weak current is applied through a preset electrode module, with the electric field strength set at 1.5V / cm, the pulse frequency at 100Hz, the duty cycle at 50%, and the operation lasting for 24 hours. Before the electric field was applied, the concentration distribution of emerging pollutants in the basal pore water was basically consistent with the initial concentration of the water sampled in real time in S1 (i.e., the average value of antibiotics was about 125.5 ng / L, the average value of microplastics was about 45 particles / L, and the average value of endocrine disruptors was about 85.2 ng / L). Under the influence of pulsed weak electric field electrophoresis and dielectrophoresis, charged emerging pollutant molecules undergo significant longitudinal directional migration; after 24 hours of operation, pore water samples from different depths of the substrate were taken and analyzed, revealing a clear gradient enrichment characteristic of emerging pollutant concentrations. The highly active substrate region (i.e., the upper and middle layers where 85% of the drug delivery occurs in S3): The antibiotic enrichment concentration increased to 188.3 ng / L (an increase of approximately 50.0% from the initial value of 125.5 ng / L). The concentration of microplastics increased to 61 particles / L (an increase of approximately 35.6% from the initial value of 45 particles / L). The enrichment concentration of endocrine disruptors increased to 132.5 ng / L (an increase of approximately 55.5% from the initial value of 85.2 ng / L).

[0026] Low-activity areas of the substrate (i.e., the lower layer where only 15% of the drug is delivered in S3): The antibiotic residue concentration decreased to 42.6 ng / L; The concentration of microplastic residues decreased to 24 particles / L; The residual concentration of endocrine disruptors decreased to 22.4 ng / L; The above data shows that the pulsed weak electric field successfully drove the emerging pollutants in the bottom layer and surrounding area to migrate and accumulate in the upper and middle layers (highly active areas) of the substrate that have been targeted with high concentrations of regulatory agents, which greatly increased the probability of contact between emerging pollutants and activated substrate microorganisms. In S4, the process of using primary oxygen generated by a micro-electric field, along with structural analog inducers and quorum sensing signal molecules, to induce basal microorganisms to produce highly active degradation enzymes, thereby achieving enhanced degradation of emerging pollutants, is as follows: A pulsed weak electric field generates primary oxygen in situ within the substrate, creating an aerobic degradation environment for substrate microorganisms and enhancing their metabolic activity. Primary oxygen, in conjunction with structure analog inducers and quorum sensing signaling molecules that have been targeted and delivered to highly active regions of the substrate, activates the metabolic regulatory pathways of substrate microorganisms, inducing them to efficiently express and secrete highly active degradation enzymes. Through the catalytic decomposition of emerging pollutants by these highly active degradation enzymes, enhanced degradation of emerging pollutants is achieved.

[0027] For example, after continuously applying a pulsed weak electric field (1.5 V / cm, 100 Hz, duty cycle 50%) to the river section A to be repaired and running for 15 days, samples were taken from the highly active areas of the substrate (upper and middle layers) to evaluate the enhanced degradation effect of the primary oxygen synergistic regulator. Specific data are as follows: Recovery status of microenvironment and respiratory metabolic activity indicators: Under the influence of nascent oxygen generated in situ by a pulsed weak electric field, the dissolved oxygen (DO) in the pore water of the highly active area of ​​the substrate increased from the initial anoxic state (0.5 mg / L) to 3.2 mg / L, creating a favorable aerobic degradation environment. Synergistic activation by nascent oxygen, phenolic inducers, and acylated homoserine lactone signaling molecules significantly enhanced respiratory and metabolic activity indicators of the basal surface biomembrane, exceeding the pre-defined uninhibited baseline value in S1: Microbial respiration rate: increased from the initial measured 12.4 mg O2 / (g·h) to 26.5 mg O2 / (g·h) (baseline value was 22.0); ATP content: increased from the initial measured 45.6 nmol / g to 92.4 nmol / g (baseline value 80.0); Dehydrogenase activity: increased from the initial measured 118.5 μg TF / (g·h) to 245.0 μg TF / (g·h) (baseline value was 210.0); Under the aforementioned synergistic effect, substrate microorganisms were induced to efficiently express and secrete highly active degrading enzymes such as laccase and peroxidase (characteristic enzyme activities increased by approximately 4.5 times compared to initial levels). Through the catalytic decomposition by these highly active degrading enzymes, emerging pollutants previously enriched in the highly active areas of the substrate were significantly degraded. Antibiotics: Degraded from an enrichment concentration of 188.3 ng / L to 14.5 ng / L, with an enhanced degradation rate of 92.3%; Microplastics: Degraded from an enrichment concentration of 61 microplastics / L to 16 microplastics / L, achieving an enhanced degradation rate of 73.8%; Endocrine disruptors: Degraded from an enrichment concentration of 132.5 ng / L to 9.2 ng / L, with an enhanced degradation rate of 93.1%; The experimental data above show that the present invention, through the pollutant-metabolic activity coupling inhibition model, precisely matches and regulates the agent, combines the non-uniform targeted delivery of the porous gradient diffusion system, and the directional enrichment of the pulsed weak electric field with the synergistic excitation of primary oxygen, successfully achieves the comprehensive restoration of the activity of the inhibited basal microbial community and completes the efficient and enhanced degradation of emerging pollutants in river water. Example 2 like Figure 2 As shown, based on the specific implementation process of Example 1, the present invention provides a river ecological base restoration system based on water quality synergistic regulation, comprising: Bioinhibition rate calculation module: Real-time collection of pollutant concentration parameters in river water, extraction of respiratory and metabolic activity indicators of the basal surface biofilm, construction of pollutant-metabolic activity coupled inhibition model, and calculation of bioinhibition rate of basal microbial community; Inducer and signaling molecule matching module: Based on the bioinhibition rate of the basal microbial community, it matches the corresponding structural analog inducers and quorum sensing signaling molecules; Porous gradient diffusion dosing module: Utilizing a porous gradient diffusion system pre-installed in the substrate, structural analog inducers and quorum sensing signal molecules are non-uniformly delivered based on the differences in microbial distribution at the substrate depth. Pulsed electric field synergistic enhancement degradation module: A pulsed weak current is applied to the substrate region. The pulsed weak electric field effect accelerates the migration of charged emerging pollutant molecules to the highly active region of the substrate. The nascent oxygen generated by the micro electric field, along with structural analog inducers and quorum sensing signal molecules, induces the substrate microorganisms to produce highly active degradation enzymes, thereby achieving enhanced degradation of emerging pollutants.

[0028] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely illustrative of the principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the present invention as claimed. The scope of protection of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for river ecological base restoration based on water quality synergistic regulation, characterized in that: include: S1: Real-time collection of pollutant concentration parameters in river water, extraction of respiratory and metabolic activity indicators of the basal surface biofilm, construction of a pollutant-metabolic activity coupled inhibition model, and calculation of the bioinhibition rate of the basal microbial community; S2: Based on the bioinhibition rate of the basal microbial community, match the corresponding structural analog inducer and quorum sensing signal molecule; S3: Utilizing a porous gradient diffusion system pre-installed within the substrate, structural analog inducers and quorum sensing signal molecules are non-uniformly delivered based on the differences in microbial distribution at the substrate depth. S4: Apply a pulsed weak current to the substrate region to accelerate the migration of charged emerging pollutant molecules to the highly active area of ​​the substrate using the pulsed weak electric field effect. Utilize the nascent oxygen generated by the micro-electric field, along with structural analog inducers and quorum sensing signal molecules, to induce substrate microorganisms to produce highly active degradation enzymes, thereby achieving enhanced degradation of emerging pollutants.

2. The method for river ecological base restoration based on water quality synergistic regulation according to claim 1, characterized in that, The pollutant concentration parameters specifically include: Water pollutant concentration parameters include: emerging pollutant concentrations and conventional pollutant concentrations; Emerging pollutant concentrations include: real-time concentrations of antibiotics, microplastics, and endocrine disruptors; The concentrations of common pollutants include: real-time concentrations of total nitrogen, total phosphorus, COD, and ammonia nitrogen.

3. The method for river ecological base restoration based on water quality synergistic regulation according to claim 1, characterized in that, The respiratory and metabolic activity indicators of the basal surface biomembrane specifically include: Indicators of respiratory metabolic activity include microbial respiration rate, ATP content, and dehydrogenase activity.

4. The method for river ecological base restoration based on water quality synergistic regulation according to claim 1, characterized in that, The specific process for constructing the pollutant-metabolic activity coupling inhibition model is as follows: Abnormal data on water pollutant concentration parameters and respiratory metabolic activity indicators of substrate surface biofilm were removed and normalized. Using water pollutant concentration parameters as the input layer vector and substrate surface biofilm respiratory metabolic activity indicators as the output layer vector, and using a BP neural network as the framework, a pollutant-metabolic activity coupling inhibition model was constructed through sample training and fitting optimization.

5. The method for river ecological base restoration based on water quality synergistic regulation according to claim 1, characterized in that, The specific process for calculating the bioinhibition rate of the basal microbial community is as follows: The pollutant concentration parameters in the water body and the respiratory and metabolic activity indicators of the substrate surface biofilm are input into the pollutant-metabolic activity coupling inhibition model that has been constructed. The pollutant-metabolic activity coupling inhibition model outputs the bioinhibition rate of the substrate microbial community.

6. The method for river ecological base restoration based on water quality synergistic regulation according to claim 1, characterized in that, The specific process of matching the bioinhibition rate based on the basal microbial community with the corresponding structural analog inducer and quorum sensing signal molecule is as follows: A biological inhibition rate-regulating agent matching library was constructed. The biological inhibition rate was divided into three inhibition rate intervals: low inhibition level, medium inhibition level, and high inhibition level. The types, ratios, and dosages of structural analog inducers and quorum sensing signal molecules corresponding to each interval were configured. The biological inhibition rate of the basal microbial community was compared with the inhibition rate intervals in the biological inhibition rate-regulating agent matching library to determine the target interval of biological inhibition rate and the corresponding structural analog inducers and quorum sensing signal molecules.

7. The method for river ecological base restoration based on water quality synergistic regulation according to claim 1, characterized in that, The specific process of non-uniformly delivering the structure analog inducer and quorum sensing signal molecules is as follows: The structure analog inducer and quorum sensing signal molecule are introduced into a porous gradient diffusion system pre-laid in the substrate. The structure analog inducer and quorum sensing signal molecule are non-uniformly delivered to different depth regions of the substrate through gradient release control of the porous gradient diffusion system. The porous gradient diffusion system is a porous tubular release device arranged along the depth direction of the substrate, and the tube wall is provided with release pores of different pore sizes and densities.

8. The method for river ecological base restoration based on water quality synergistic regulation according to claim 1, characterized in that, The specific process of applying a pulsed weak current to the substrate region and using the pulsed weak electric field effect to accelerate the migration of charged emerging pollutant molecules to the highly active region of the substrate is as follows: A pulsed weak current is applied to the substrate region to form a pulsed weak electric field inside the substrate. Specifically, the pulsed weak current is applied by electrode modules that are pre-deployed on both sides and deep within the substrate. Under the effect of the pulsed weak electric field, the charged emerging pollutant molecules in the substrate undergo directional migration and accumulate in the highly active regions of the substrate. The highly active regions of the substrate are the upper and middle layers of the substrate where structural analog inducers and quorum sensing signal molecules are non-uniformly targeted.

9. The method for river ecological base restoration based on water quality synergistic regulation according to claim 1, characterized in that, The specific process for achieving enhanced degradation of emerging pollutants is as follows: A pulsed weak electric field generates primary oxygen in situ within the substrate. This primary oxygen, along with structure analog inducers and quorum sensing signaling molecules that have been targeted and delivered to highly active regions of the substrate, jointly activates the metabolic regulatory pathways of substrate microorganisms. This induces substrate microorganisms to efficiently express and secrete highly active degradation enzymes. Through the catalytic decomposition of emerging pollutants by these highly active degradation enzymes, the enhanced degradation of emerging pollutants is achieved.

10. A river ecological base restoration system based on water quality synergistic regulation, used to perform the method described in any one of claims 1-9, characterized in that: include: Bioinhibition rate calculation module: Real-time collection of pollutant concentration parameters in river water, extraction of respiratory and metabolic activity indicators of the basal surface biofilm, construction of pollutant-metabolic activity coupled inhibition model, and calculation of bioinhibition rate of basal microbial community; Inducer and signaling molecule matching module: Based on the bioinhibition rate of the basal microbial community, it matches the corresponding structural analog inducers and quorum sensing signaling molecules; Porous gradient diffusion dosing module: Utilizing a porous gradient diffusion system pre-installed in the substrate, structural analog inducers and quorum sensing signal molecules are non-uniformly delivered based on the differences in microbial distribution at the substrate depth. Pulsed electric field synergistic enhancement degradation module: A pulsed weak current is applied to the substrate region. The pulsed weak electric field effect accelerates the migration of charged emerging pollutant molecules to the highly active region of the substrate. The nascent oxygen generated by the micro electric field, along with structural analog inducers and quorum sensing signal molecules, induces the substrate microorganisms to produce highly active degradation enzymes, thereby achieving enhanced degradation of emerging pollutants.

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