Convergence increasing method based on whole-process water environment restoration and green land water ecological system management

Abstract

The invention relates to the technical field of water environment restoration and ecological management, and particularly discloses a sink increasing method based on whole-process water environment restoration and green land water ecological system management, and the method comprises the following steps: identifying and controlling a pollution source through remote sensing and machine learning technologies; a biological floating island, an artificial wetland and physical and chemical means are utilized to carry out water body remediation; the carbon sink function is optimized through the synergistic effect of aquatic plants, greenbelt vegetation and microorganisms; and dynamic monitoring and a feedback control model are combined to regulate and control repair measures in real time. According to the carbon sink increasing method, the carbon sink optimization mathematical model is adopted, the carbon absorption stock of the water body, the green land and the microorganisms is comprehensively calculated, the service function of the water body ecological system is improved, non-point source and point source pollution can be effectively controlled, the water quality is improved, the water ecological system is restored, meanwhile, the regional carbon fixing amount is remarkably increased, and collaborative promotion of ecological restoration and the carbon sink target is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of environmental ecological management, and specifically to a method for increasing water sewerage based on full-process water environment restoration and green land water ecosystem management. Background Art

[0002] With the rapid development of the global economy and the acceleration of urbanization, water pollution is becoming increasingly serious. Lakes, rivers and other natural water bodies are affected by industrial wastewater, domestic sewage, agricultural runoff and other pollution sources, resulting in water quality degradation, eutrophication, ecological degradation and other problems. This not only threatens human drinking water safety and the ecological environment, but also weakens the carbon sequestration capacity of water bodies and exacerbates greenhouse gas emissions.

[0003] At present, the technical research and application of water environment restoration have achieved certain results, mainly including the following categories:

[0004] Pollution source control technology: Pollution source control usually intercepts pollutants through engineering measures such as sewage interception pipes and artificial wetlands.

[0005] However, these measures are mostly focused on point source pollution (such as industrial sewage outlets), but are less efficient in controlling non-point source pollution such as agricultural runoff and lack a systematic solution.

[0006] Water remediation technology: Physical remediation technology (such as aeration and oxygenation) and chemical remediation technology (such as adding chemicals) are often used for water pollution control, but they are prone to cause secondary pollution and only aim to improve water quality indicators.

[0007] Ecological restoration technologies (such as biological floating islands and artificial wetlands) are more in line with natural ecological processes, but when used alone, the restoration efficiency is limited by the growth cycle of plants or microorganisms, making it difficult to quickly resolve water pollution.

[0008] Technology to enhance carbon sink capacity: Current research on carbon sink functions is mostly focused on terrestrial ecosystems (such as forests and grasslands) or marine ecosystems, with less attention paid to the carbon storage potential of freshwater bodies such as rivers and lakes.

[0009] There is no synergistic relationship between the research on the carbon sink function of water bodies and restoration measures, and the carbon storage capacity of aquatic plants, green space systems and microorganisms has not been fully utilized.

[0010] Although existing technologies have made great progress in water environment restoration and carbon sink research, there are still the following shortcomings:

[0011] Fragmentation of governance measures: Existing technologies usually target a single goal, such as purifying water quality or improving the ecological environment, and lack a comprehensive governance approach that covers the entire process and is integrated.

[0012] The synergistic effect between water bodies and surrounding green space systems was ignored, resulting in limited restoration effects.

[0013] The disconnect between carbon sequestration and restoration goals: During the implementation of water ecological restoration technology, the improvement of carbon fixation capacity is often not taken into account.

[0014] For example, the design of biological floating islands or artificial wetlands focuses more on removing pollutants, while their carbon sink potential has not been effectively developed and utilized.

[0015] Insufficient dynamic control capabilities: Current restoration technologies are usually based on fixed parameters and static models, and cannot flexibly adjust restoration strategies according to real-time changes in water conditions.

[0016] When water quality fluctuates greatly, the restoration effect of traditional technology cannot be guaranteed.

[0017] Non-point source pollution is difficult to control effectively: nutrients such as nitrogen and phosphorus in agricultural runoff enter the water body, causing serious eutrophication, and existing technologies lack effective means to deal with this dispersed pollution.

[0018] Therefore, we urgently need to design a method to increase water sequestration based on the whole process of water environment restoration and green space water ecosystem management to solve the above problems. Summary of the invention

[0019] The purpose of the present invention is to address the deficiencies of the prior art and provide a method for increasing water sequestration based on full-process water environment restoration and green space water ecosystem management to solve the problems raised in the background technology.

[0020] To achieve the above object, the present invention provides the following technical solutions:

[0021] A method for increasing water sinks based on full-process water environment restoration and green land water ecosystem management, the method specifically comprises the following steps:

[0022] Full process management of water environment restoration: based on the three stages of pollution source identification, physical and chemical restoration, and ecological restoration, water quality improvement and pollution control are achieved;

[0023] Green space water ecosystem carbon sink optimization: improve carbon fixation capacity through the synergistic effect of aquatic plants, green space plants and microorganisms. Improve water body self-purification capacity: combine plant root adsorption, organic matter degradation and plankton ecological balance to achieve pollutant removal;

[0024] Optimization and regulation based on dynamic monitoring: Through real-time monitoring of water bodies and carbon sink data, algorithms are used to optimize restoration strategies; the comprehensive mathematical model of carbon sink is:

[0025] F total =F water +F green +Fmicro

[0026] Among them, F total is the total carbon sink of the system, F water is the carbon sink in water bodies, F green is the carbon sink of green land plants, F micro is the amount of carbon fixed by microorganisms.

[0027] As a preferred technical solution of the present invention, the pollution source identification includes the following steps: remote sensing technology detection: obtaining pollution source distribution data through hyperspectral images; machine learning model classification: identifying pollution source types based on support vector machine (SVM) or random forest algorithm; its pollution distribution intensity formula is:

[0028]

[0029] Among them, P(x,y) represents the pollution intensity, C i is the pollution intensity of the i-th pollution source, (x i ,y i ) is the pollution source coordinate, and σ is the diffusion radius.

[0030] As a preferred technical solution of the present invention, the physical and chemical restoration includes: biological floating island technology: planting efficient carbon storage plants;

[0031] Physical adsorption material placement: using zeolite and activated carbon to adsorb harmful substances in water; carbon storage formula optimization: the carbon storage of floating island plants is calculated using the following formula:

[0032]

[0033] Where LAI(t) is the leaf area index, R a (t) is the photosynthetic carbon storage rate, B(t) is the plant biomass, and α is the carbon fixation coefficient.

[0034] As a preferred technical solution of the present invention, in the floating island system, the relationship between the plant carbon sink and the water microbial carbon conversion is defined by the following formula:

[0035] F water =β·F plant +γ·F biofilm

[0036] Among them, F biofilm represents the amount of carbon fixation by biofilm, β and γ are the weight factors of floating island plants and biofilm in carbon fixation, respectively, which are obtained through experimental calibration.

[0037] As a preferred technical solution of the present invention, the water microbial carbon fixation amount F microThe calculation method includes the following processes: constructing a microbial ecological chain to improve the efficiency of organic matter degradation; the mathematical model of carbon fixation rate is:

[0038] F micro =∫0 T k m ·N(t)·C org (t)dt

[0039] Among them, k m is the microbial carbon fixation rate coefficient, N(t) is the number of microorganisms, C org (t) is the concentration of organic matter, and T is the action time.

[0040] As a preferred technical solution of the present invention, the microbial carbon fixation rate coefficient k m Affected by the dissolved oxygen concentration DO of the water body, the relationship formula is:

[0041] k m =a·DO b

[0042] Among them, a and b are experimental fitting parameters, and DO is the dissolved oxygen concentration.

[0043] As a preferred technical solution of the present invention, the green plant carbon sink optimization is calculated by the following formula:

[0044]

[0045] Among them, ρ i is the carbon storage coefficient of the i-th plant, A i is the vegetation cover area, GPP i is the total primary productivity of plants, and its calculation formula is:

[0046] GPP i =∫0 T (PAR·∈ i ·f APAR (t))dt

[0047] Where PAR is photosynthetically active radiation, ∈ i is the photosynthesis efficiency, f APAR (t) is the ratio of absorbed photosynthetically active radiation.

[0048] As a preferred technical solution of the present invention, the green vegetation coverage area A i The dynamics over time are defined by the following formula:

[0049]

[0050] Among them, A i0 is the initial plant coverage area, ri is the vegetation growth rate, and t is the time.

[0051] As a preferred technical solution of the present invention, the dynamic regulation is based on a feedback control model, and its control quantity U(t) is calculated by the target carbon sink quantity F target and the current carbon sink F c Current calculation:

[0052]

[0053] Where, e(t) = F target -F current ,K p , K i , K d are the control gain coefficients, which are proportional, integral and differential gains respectively.

[0054] As a preferred technical solution of the present invention, the optimization of the control parameter U(t) is achieved by the following objective function:

[0055]

[0056] Among them, η1, η2, η3, and η4 are the weight factors of water carbon sink, green land carbon sink, microbial carbon sink, and restoration cost, respectively. cost (t) is the cost function of the repair measures.

[0057] Compared with the prior art, the present invention has the following beneficial effects:

[0058] 1. The present invention proposes a full-process water environment restoration method, which forms a full-chain governance system from source to terminal through multi-stage governance means such as pollution source identification, physical and chemical restoration and ecological restoration. Compared with traditional single restoration methods, the present invention can more effectively control non-point source and point source pollution, improve water quality, restore the self-purification capacity of the water ecosystem, and achieve long-term governance of water bodies.

[0059] 2. While restoring the water environment, the present invention fully taps the carbon fixation potential of water bodies, green spaces and microbial ecosystems, and improves the overall carbon storage capacity through the synergistic effect of biological floating islands, artificial wetlands and green space buffer zones. This innovative method that combines ecological restoration with carbon sink optimization can not only mitigate the impact of climate change, but also significantly improve the ecological service function of the restoration area.

[0060] 3. The present invention introduces a real-time monitoring and feedback control mechanism, combines water quality dynamic data and carbon sink targets, and continuously optimizes the restoration strategy through intelligent regulation to adapt to the needs of different water bodies and pollution changes. This dynamic and flexible restoration method not only improves the efficiency of governance, but also reduces the cost of governance. It has significant economic benefits and promotion value, and can provide important technical support for achieving the "dual carbon" goal and sustainable development. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] Figure 1 This is a flow chart of the method for increasing water sinks based on full-process water environment restoration and green space water ecosystem management proposed in the present invention. DETAILED DESCRIPTION

[0062] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0063] The following is combined with Figure 1 With reference to the accompanying drawings and a number of embodiments, specific embodiments of the present invention are described in detail.

[0064] Example 1: Pollution source identification and control;

[0065] This embodiment uses remote sensing technology and machine learning models to identify pollution sources in urban rivers and formulate corresponding control measures.

[0066] Implementation steps: Remote sensing technology detection:

[0067] Use a drone equipped with a hyperspectral camera to take photos along the river and obtain spectral characteristic data of the water body.

[0068] After the spectral data is processed, pollutant indicators such as chlorophyll concentration (indicating the degree of eutrophication) and suspended matter concentration (indicating particulate matter pollution) are extracted.

[0069] Machine learning model to identify pollution sources: Remote sensing data is input into the support vector machine (SVM) model, and the model outputs the type of pollution source (such as agricultural runoff, industrial wastewater) and its distribution.

[0070] The distribution intensity of the pollution source is calculated using the following formula:

[0071]

[0072] P(x,y): the value of pollution intensity at position (x,y);

[0073] C i : The pollution intensity of the ith pollution source (e.g. nitrogen concentration, in mg / L);

[0074] (x i ,y i ): Location coordinates of the ith pollution source; σ: Diffusion radius (simulated by hydrodynamic model, usually 10-50m).

[0075] Through formula calculation, a pollution source distribution map is generated, marking the main location and intensity of the pollution sources.

[0076] Pollution source control measures: For domestic sewage discharge points, install sewage interception pipes at the discharge outlets to directly introduce them into the sewage treatment system.

[0077] To address agricultural runoff, plant vegetation buffers (such as reeds and cattails) at the edges of farmland to reduce nitrogen and phosphorus losses.

[0078] Example 2: Floating island technology and physical and chemical restoration;

[0079] This embodiment aims to repair lake water pollution by combining biological floating islands and physical and chemical adsorption technology.

[0080] Implementation steps: Floating island construction:

[0081] Design and Installation:

[0082] The modular floating island is made with a size of 5m×5m. The floating island frame is made of polyethylene material and the upper part is filled with coconut shell fiber matrix.

[0083] Planting: Plant reeds and cattails on the floating islands, 20 plants per square meter.

[0084] The plant roots hang down into the water and absorb nutrients such as nitrogen and phosphorus from the water.

[0085] Carbon storage calculation: The carbon storage of floating island plants is calculated using the following formula:

[0086]

[0087] F plant : Carbon storage of floating island plants in the time interval [t0, t1] (unit: gC / ㎡);

[0088] α: carbon fixation coefficient (unit: gC / g biomass, determined experimentally, usually 0.45-0.50);

[0089] LAI(t): Leaf area index (total leaf area per unit area of ​​the plant, obtained by a leaf area meter);

[0090] Ra (t): photosynthetic carbon storage rate (unit: gC / ㎡ / d, experimentally determined);

[0091] B(t): Plant biomass increment (unit: g / m2, obtained by measuring plant dry weight).

[0092] Physical adsorption repair:

[0093] Material placement: Activated carbon particles are placed in the polluted area of ​​the lake to absorb organic pollutants. The concentration is 50g / m 3 .

[0094] Natural zeolite is added to absorb ammonia nitrogen at a concentration of 30g / m 3 .

[0095] Effect monitoring: Collect water samples weekly to test nitrogen and phosphorus concentrations and COD (chemical oxygen demand) values ​​to evaluate the restoration effect.

[0096] Example 3: Restoration of microbial ecological chain and carbon fixation;

[0097] This embodiment achieves the treatment of eutrophic water bodies through microbial degradation and carbon fixation.

[0098] Implementation steps:

[0099] Microbial delivery:

[0100] Add high-efficiency degradation strains (such as Bacillus) with an initial concentration of 10 6 CFU / m 3 .

[0101] A mesh matrix (such as expanded clay, zeolite) is installed under the floating island for microorganisms to attach and form a biofilm.

[0102] Carbon fixation calculation:

[0103] Microbial carbon fixation was calculated using the following formula:

[0104] F micro =∫0 T k m ·N(t)·C org (t)dt

[0105] F micro : Total amount of microbial carbon fixation (unit: gC / m 3 );

[0106] k m : Carbon fixation rate constant (unit: 1 / d, experimental fitting); N(t): number of microorganisms (unit: CFU / m 3 , counted by microscopy);

[0107] C org (t): organic matter concentration in water (unit: mg / L, obtained by COD measurement);

[0108] T: repair time (unit: d).

[0109] Example 4: Green space ecosystem carbon sink optimization;

[0110] This embodiment improves the carbon sequestration capacity by constructing a green buffer zone.

[0111] Implementation steps:

[0112] Green space design: A green buffer zone with a width of 15 meters will be built around the lake, with a total area of ​​1,000 square meters.

[0113] Plant trees (willow, poplar) and herbs (water celery, reed).

[0114] Carbon sink calculation: Use the following formula to calculate the carbon sink of green plants:

[0115]

[0116] F green : Green space plant carbon sink (unit: gC);

[0117] ρ i : Carbon fixation capacity coefficient of the i-th plant (unit: gC / m 2 , measured by experiments);

[0118] A i : Coverage area of ​​the i-th plant species (unit: m 2 , calculated through remote sensing images);

[0119] GPP i :Total primary productivity of plants (unit: gC / ㎡ / d).

[0120] Example 5: Dynamic regulation based on feedback control;

[0121] This embodiment optimizes the repair process through real-time monitoring and feedback regulation.

[0122] Implementation steps:

[0123] Monitoring and data collection: Sensors are placed in rivers to monitor dissolved oxygen (DO), nutrient concentrations and carbon sequestration in real time.

[0124] Feedback control formula: Dynamic regulation is achieved through the following formula:

[0125]

[0126] U(t): Control quantity (such as adjusting floating island plant density or aeration intensity);

[0127] e(t)=F target -F current : is the error value;

[0128] K p ,K i ,K d : They are proportional, integral and differential gain coefficients respectively, and their values ​​are determined through experimental debugging.

[0129] The contents not described in detail in this specification belong to the prior art known to professional and technical personnel in the field. Although the present invention has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments, or to make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for increasing water sinks based on full-process water environment restoration and green space water ecosystem management, characterized in that: The following steps are involved: Full process management of water environment restoration: based on the three stages of pollution source identification, physical and chemical restoration, and ecological restoration, water quality improvement and pollution control are achieved; Green space water ecosystem carbon sink optimization: improve carbon fixation capacity through the synergistic effect of aquatic plants, green space plants and microorganisms. Improve water body self-purification capacity: combine plant root adsorption, organic matter degradation and plankton ecological balance to achieve pollutant removal; Optimization and regulation based on dynamic monitoring: Through real-time monitoring of water bodies and carbon sink data, algorithms are used to optimize restoration strategies; the comprehensive mathematical model of carbon sink is: F total =F water +F green +F micro Among them, F total is the total carbon sink of the system, F water is the carbon sink in water bodies, F green is the carbon sink of green land plants, F micro is the amount of carbon fixed by microorganisms.

2. The method for increasing water sinks based on full-process water environment restoration and green space water ecosystem management according to claim 1 is characterized in that: The pollution source identification includes the following steps of remote sensing technology detection: Obtain pollution source distribution data through hyperspectral images; Machine learning model classification: Identify pollution source types based on support vector machine or random forest algorithm; The pollution distribution intensity formula is: Among them, P(x, y) represents the pollution intensity, C i is the pollution intensity of the i-th pollution source, (x i ,y i ) is the pollution source coordinate, and σ is the diffusion radius.

3. The method for increasing water sinks based on full-process water environment restoration and green space water ecosystem management according to claim 1 is characterized in that: The physical and chemical restoration includes: biological floating island technology: planting efficient carbon storage plants; physical adsorption material placement: using zeolite and activated carbon to adsorb harmful substances in the water; carbon storage formula optimization: the carbon storage capacity of floating island plants is calculated by the following formula: Where LAI(t) is the leaf area index, R a (t) is the photosynthetic carbon storage rate, B(t) is the plant biomass, and α is the carbon fixation coefficient.

4. The method for increasing water sinks based on full-process water environment restoration and green space water ecosystem management according to claim 3 is characterized in that: In the floating island system, the relationship between plant carbon sink and water microbial carbon conversion is defined by the following formula: F water =β·F plant +γ·F biofilm Among them, F biofilm represents the amount of carbon fixation by biofilm, β and γ are the weight factors of floating island plants and biofilm in carbon fixation, respectively, which are obtained through experimental calibration.

5. The method for increasing water sinks based on full-process water environment restoration and green space water ecosystem management according to claim 1 is characterized in that: The amount of carbon fixed by water microorganisms F micro The calculation method includes the following processes: constructing a microbial ecological chain to improve the efficiency of organic matter degradation; the mathematical model of carbon fixation rate is: Among them, k m is the microbial carbon fixation rate coefficient, N(t) is the number of microorganisms, C org (t) is the concentration of organic matter, and T is the action time.

6. The method for increasing water sinks based on full-process water environment restoration and green space water ecosystem management according to claim 5 is characterized in that: The microbial carbon fixation rate coefficient k m Affected by the dissolved oxygen concentration DO of the water body, the relationship formula is: k m =a·DO b Among them, a and b are experimental fitting parameters, and DO is the dissolved oxygen concentration.

7. The method for increasing water sinks based on full-process water environment restoration and green space water ecosystem management according to claim 1 is characterized in that: The green space plant carbon sink optimization is calculated by the following formula: Among them, ρ i is the carbon storage coefficient of the i-th plant, A i is the vegetation coverage area, GPPii is the total primary productivity of plants, and the calculation formula is: Where PAR is photosynthetically active radiation, ∈ i is the photosynthesis efficiency, f APAR (t) is the ratio of absorbed photosynthetically active radiation.

8. The method for increasing water sinks based on full-process water environment restoration and green space water ecosystem management according to claim 7 is characterized in that: The green vegetation coverage area A i The dynamics over time are defined by the following formula: Among them, A i0 is the initial plant coverage area, r i is the vegetation growth rate, and t is the time.

9. The method for increasing water sinks based on full-process water environment restoration and green space water ecosystem management according to claim 1 is characterized in that: The dynamic regulation is based on a feedback control model, and its control quantity U(t) is calculated by the target carbon sink quantity F target and the current carbon sink F c Current calculation: Where, e(t) = F target -F current , K p , K i , K d are the control gain coefficients, which are proportional, integral and differential gains respectively.

10. The method for increasing water sinks based on full-process water environment restoration and green land water ecosystem management according to claim 9 is characterized in that: The optimization of the control parameter U(t) is achieved through the following objective function: Among them, η1, η2, η3, and η4 are the weight factors of water carbon sink, green land carbon sink, microbial carbon sink, and restoration cost, respectively. cost (t) is the cost function of the repair measures.

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