Methods, apparatus and electronic equipment for water quality compliance analysis in tidal river networks

Abstract

This invention provides a method, apparatus, and electronic equipment for analyzing water quality compliance in tidal river networks, relating to the field of water environment data processing technology. It divides the target area into multiple independent sub-regions based on hydrodynamic characteristics and topographic structure. Then, combining the pollution load structure entering the river, it determines the baseline pollution carrying capacity of each sub-region during the slack tide period. Furthermore, using tidal rhythm as the core, it quantifies the bidirectional mass flux between sub-regions under the tidal rhythm, and determines the effective environmental capacity value for each. This allows for precise capture of the dynamic impact of tidal reciprocating flow on pollutant migration and diffusion, achieving a refined characterization of the hydrological-hydrodynamic-water quality coupling process. Furthermore, it constructs an environmental capacity map, which can intuitively present the spatiotemporal dynamic distribution of capacity, completely breaking through the limitations of traditional static capacity calculation. Water quality compliance analysis based on the map can provide precise spatiotemporal implementation guidance for treatment projects, avoiding one-size-fits-all treatment and significantly improving the effectiveness of engineering applications.

Description

Technical Field

[0001] This invention relates to the field of water environment data processing technology, and in particular to a method, apparatus and electronic equipment for analyzing water quality compliance in tidal river networks. Background Technology

[0002] With the rapid development of society, economy, and human activities, it has become an urgent task to deepen water pollution control and improve water quality. Southern water network regions are characterized by dense river networks, abundant rainfall, and significant tidal effects. With the continuous increase of pollutants entering rivers, generally insufficient hydrodynamics in river channels, and long water exchange cycles, the water quality of these channels is further deteriorating. In tidal river network regions, water flow is influenced by tides, exhibiting both bidirectional and reciprocating flows. Furthermore, the crisscrossing water systems and dense hydraulic structures greatly increase the difficulty of model simulation and water quality compliance analysis.

[0003] Tidal river networks are influenced by the periodic rise and fall of tides, resulting in complex patterns of water flow direction, velocity, and pollutant migration. Traditional water environment models struggle to accurately depict the intricate hydrological-hydrodynamic-water quality coupling processes. Furthermore, analytical methods often fail to fully incorporate tidal dynamics, leading to insufficiently targeted remediation measures. Existing hydrodynamic and water quality models are largely based on assumptions of steady or unidirectional flow, neglecting the impact of tidal reciprocating flow on pollutant diffusion, deposition, and the water body's self-purification capacity. Typical rainfall selection methods lack spatiotemporal dynamism, the impact of tidal differences on water environmental capacity is not quantified, and the coupled modeling of pipe networks, river channels, and land-based pollution sources is insufficient, resulting in low model accuracy and poor engineering application effectiveness.

[0004] Therefore, it is necessary to coordinate a comprehensive method that integrates hydrological characteristic analysis, tidal capacity calculation, land-water coupling modeling, and multi-objective optimization to analyze and demonstrate the hydrodynamic and water quality conditions of the pipeline network and river before and after the implementation of the remediation project, so as to provide corresponding theoretical and technical support for the engineering design. Summary of the Invention

[0005] The purpose of this invention is to provide a method, device, and electronic equipment for analyzing water quality compliance in tidal river networks. This method enables dynamic quantification and visualization of the environmental capacity of tidal river networks, significantly improving the accuracy of water quality simulation and compliance analysis. It provides solid theoretical and technical support for the precise design, targeted implementation, and optimization of water pollution control projects in tidal river network areas, effectively solving the challenges of water environment governance under complex conditions.

[0006] In a first aspect, embodiments of the present invention provide a method for analyzing water quality compliance in tidal river networks. The method includes: dividing the target area into multiple independent sub-regions based on its hydrodynamic characteristics and topographic structure; determining the static capacity of each independent sub-region based on the pollution load structure entering the river; determining the effective environmental capacity value corresponding to the static capacity based on the tidal rhythm of the target area and the bidirectional mass flux between each independent sub-region; constructing an environmental capacity map of the target area corresponding to the tidal rhythm based on the effective environmental capacity value; and conducting water quality compliance analysis on each independent sub-region based on the environmental capacity map to determine whether the independent sub-region meets the preset water quality target under the tidal rhythm.

[0007] In conjunction with the first aspect, this embodiment of the invention also provides a first implementation of the first aspect, wherein the step of dividing the target area into multiple independent sub-regions based on the hydrodynamic characteristics and topographic structure of the target area includes: determining the water boundary of the target area based on the salinity gradient change rate and tidal phase synchronization of the target area; determining the topographic division node of the target area based on the location of abrupt changes in cross-sectional morphology of the target area; and dividing the target area into multiple independent sub-regions based on the water boundary and the topographic division node.

[0008] In conjunction with the first aspect, this embodiment of the invention also provides a second implementation of the first aspect, wherein the step of determining the static capacity of each independent sub-region based on the river pollution load structure of the target area includes: determining the static capacity of the current independent sub-region for the river pollution load structure based on the box volume and pollutant degradation coefficient of each independent sub-region.

[0009] In conjunction with the first aspect, this embodiment of the invention also provides a third implementation of the first aspect, wherein the above method further includes: determining typical rainfall conditions in the target area based on historical rainfall data of the target area; obtaining the rainfall intensity distribution of the typical rainfall conditions and the pollutant accumulation corresponding to the rainfall intensity distribution; and determining the river pollution load structure corresponding to each independent sub-region of the target area based on the pollutant accumulation and the rainfall scouring and surface pollutant accumulation pattern in the target area.

[0010] In conjunction with the first aspect, this invention also provides a fourth implementation of the first aspect, wherein the step of determining the effective environmental capacity value corresponding to the static capacity based on the tidal rhythm of the target area and the bidirectional mass flux between each independent sub-region includes: constructing a pollutant migration network between independent sub-regions; determining the initial bidirectional mass flux corresponding to each independent sub-region through the pollutant migration network based on the container volume, pollutant concentration, and inter-container exchange flow of each independent sub-region; performing a first correction on the initial bidirectional mass flux based on the tidal range influence factor corresponding to the tidal rhythm, and using the first-corrected initial bidirectional mass flux to perform a second correction on the static capacity to determine the effective environmental capacity value corresponding to the static capacity.

[0011] In conjunction with the first aspect, this invention also provides a fifth implementation of the first aspect, wherein the step of constructing an environmental capacity map of the target region corresponding to the tidal rhythm based on the effective environmental capacity value includes: performing spatiotemporal integration on the effective environmental capacity value of each independent sub-region of the target region along the tidal cycle of the tidal rhythm to generate an environmental capacity map of the target region corresponding to the tidal rhythm.

[0012] In conjunction with the first aspect, this invention also provides a sixth implementation of the first aspect, wherein the step of constructing a pollutant migration network between independent sub-regions includes: constructing a stormwater and sewage pipe network model for a preset independent sub-region in the target region based on the pipe network distribution of the target region; constructing a hydrodynamic model for a preset independent sub-region in the target region based on the river network topology of the target region; and loosely coupling the hydrodynamic model and the stormwater and sewage pipe network model to generate a pollutant migration network for multiple independent sub-regions of the target region.

[0013] In conjunction with the first aspect, this embodiment of the invention also provides a seventh implementation of the first aspect, wherein the step of performing water quality compliance analysis on each independent sub-region based on an environmental capacity map to determine whether the independent sub-region meets the preset water quality target under tidal rhythm includes: determining the pollution inflow load calculation result and the river water environmental capacity calculation result corresponding to each independent sub-region according to the environmental capacity map; and performing water quality compliance analysis on the pollution inflow load calculation result and the river water environmental capacity calculation result of each independent sub-region according to the preset total control zoning target of the target region, thereby determining whether the corresponding independent sub-region meets the preset water quality target.

[0014] Secondly, embodiments of the present invention provide a tidal river network water quality compliance analysis device, which includes: a region division module, used to divide the target region into multiple independent sub-regions according to the hydrodynamic characteristics and topographic structure of the target region; a calculation module, used to determine the static capacity of each independent sub-region according to the pollution load structure entering the river in the target region; and to determine the effective environmental capacity value corresponding to the static capacity according to the tidal rhythm of the target region and the bidirectional mass flux between each independent sub-region; a data processing module, used to construct an environmental capacity map of the target region corresponding to the tidal rhythm based on the effective environmental capacity value; and an analysis module, used to perform water quality compliance analysis on each independent sub-region based on the environmental capacity map to determine whether the independent sub-region meets the preset water quality target under the tidal rhythm.

[0015] Thirdly, embodiments of the present invention provide an electronic device, which includes a processor and a memory. The memory stores machine-executable instructions that can be executed by the processor, and the processor executes the machine-executable instructions to implement the tidal river network water quality compliance analysis method of any of the above embodiments.

[0016] The embodiments of this invention bring the following beneficial effects: The embodiments of this invention divide the target area into multiple independent sub-regions based on hydrodynamic characteristics and topographic structure. The tidal phase and flow patterns within each sub-region are relatively homogeneous based on their respective regional characteristics, avoiding interference from overall heterogeneity. Furthermore, by combining the pollution load structure entering the river to determine the baseline pollution carrying capacity of each sub-region during the slack tide period, and further using tidal rhythm as the core, the bidirectional material flux between sub-regions under the tidal rhythm is quantified. Based on this, the effective environmental capacity value of each sub-region is determined, which can accurately capture the dynamic impact of tidal reciprocating flow on pollutant migration and diffusion, replacing the steady flow / unidirectional flow assumption of traditional models, and achieving a refined characterization of the hydrological-hydrodynamic-water quality coupling process. The further constructed environmental capacity map can intuitively present the spatiotemporal dynamic distribution of capacity, completely breaking the limitations of traditional static capacity calculation. Water quality compliance analysis based on the map can provide precise spatiotemporal implementation guidance for treatment projects, avoiding one-size-fits-all treatment and significantly improving the effectiveness of engineering applications.

[0017] Other features and advantages of the present invention will be set forth in the following description, or some features and advantages may be inferred from the description or determined without doubt, or may be learned by practicing the techniques described above. To make the above-described objects, features, and advantages of the present invention more apparent and understandable, preferred embodiments are described in detail below with reference to the accompanying drawings. Attached Figure Description

[0018] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0019] Figure 1 A flowchart of a method for analyzing water quality compliance in tidal river networks provided in an embodiment of the present invention;

[0020] Figure 2 This is a schematic diagram illustrating a typical rainfall selection process according to an embodiment of the present invention.

[0021] Figure 3 A flowchart for constructing a water-land coupling model is provided in an embodiment of the present invention;

[0022] Figure 4 A schematic diagram of calculating the environmental capacity of a tidal river network using a partitioned box model, provided in an embodiment of the present invention;

[0023] Figure 5 This is a schematic diagram of the water quality compliance analysis process provided in an embodiment of the present invention;

[0024] Figure 6 A schematic diagram of an integrated power plant, network, and river system provided in an embodiment of the present invention;

[0025] Figure 7 A schematic diagram of the structure of a tidal river network water quality compliance analysis device provided in an embodiment of the present invention;

[0026] Figure 8 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention. Detailed Implementation

[0027] 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 the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations.

[0028] Therefore, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the invention without inventive effort are within the scope of protection of the invention.

[0029] This invention provides a method, apparatus, and electronic device for analyzing water quality compliance in tidal river networks. It enables dynamic quantification and visualization of the environmental capacity of tidal river networks, significantly improving the accuracy of water quality simulation and compliance analysis. This provides solid theoretical and technical support for the precise design, targeted implementation, and optimization of water pollution control projects in tidal river network areas, effectively solving the challenges of water environment governance under complex conditions.

[0030] To facilitate understanding, the method for analyzing water quality compliance in tidal river networks provided in this invention will first be described, referring to... Figure 1 The method includes the following steps:

[0031] Step S102: Based on the hydrodynamic characteristics and topographic structure of the target area, the target area is divided into multiple independent sub-regions.

[0032] The target area refers to the research scope of estuaries, deltas, or coastal urban river networks affected by tides (such as the Southern Tidal River Network area). Hydrodynamic characteristics include hydrological movement features driven by tides, such as flow direction, flow velocity, tidal phase synchronicity, and salinity gradient change rate. Topographic structure encompasses geographic spatial attributes such as river channel cross-sectional morphology and locations of abrupt geomorphic changes (such as changes in cross-sectional width).

[0033] The present invention is based on the smallest calculation unit (such as nearshore area, estuary area, offshore area, etc.) divided by hydrodynamic homogeneity and topographic integrity, and the tidal patterns and water flow characteristics are relatively consistent in each area.

[0034] Step S104: Determine the static capacity of each independent sub-region based on the pollution load structure entering the river in the target area; determine the effective environmental capacity value corresponding to the static capacity based on the tidal rhythm of the target area and the bidirectional material flux between each independent sub-region.

[0035] The pollution load structure entering a river refers to the spatial distribution of various pollution sources (point sources, non-point sources, and internal sources) within the target area, and the proportion of contribution of pollutants (such as COD, ammonia nitrogen, and TP emissions). Static capacity is used to indicate the maximum amount of pollutants (theoretical pollution carrying capacity threshold) that a sub-region can accommodate based on its own water volume, pollutant degradation coefficient, and other parameters during the slack tide period (without tidal fluctuations).

[0036] Tidal rhythms characterize the periodic rise and fall of tides, including tidal period, tidal range, and the proportion of rising and falling tide durations. Two-way mass flux characterizes the mutual input / output of pollutants between adjacent sub-regions driven by tides, reflecting the intensity of pollutant migration and exchange. This invention, in its embodiment, combines the dynamic influence of tidal rhythms to correct the actual pollution-carrying capacity of independent sub-regions, generating dynamic capacity values ​​(i.e., effective environmental capacity values) influenced by tidal rhythms and two-way mass fluxes. This quantifies the time-varying impact of tides on the pollution-carrying capacity of water bodies, ensuring the capacity values ​​align with the dynamic hydrological processes of tidal river networks. It overcomes the limitations of static capacity under the traditional steady-flow assumption, providing dynamic data support for subsequent accurate compliance analysis through the real-time response of effective environmental capacity values ​​to tidal fluctuations (e.g., increased water exchange and capacity during high tide, and decreased capacity during low tide due to pollutant accumulation).

[0037] Step S106: Construct an environmental capacity map of the target area corresponding to the tidal rhythm based on the effective environmental capacity value.

[0038] Step S108: Based on the environmental capacity map, conduct water quality compliance analysis for each independent sub-region to determine whether the independent sub-region meets the preset water quality target under tidal rhythm.

[0039] Environmental capacity maps are three-dimensional visual data carriers that visualize the distribution of pollution carrying capacity in each sub-region during different tidal phases, using time (tidal phase), space (independent sub-regions), and capacity (effective environmental capacity value). They can intuitively present the distribution of pollution carrying capacity in each sub-region during different tidal phases, enabling dynamic quantification and visualization of the environmental capacity of tidal river networks. This allows managers to intuitively grasp the correlation between tides, space, and capacity. Based on this, water quality compliance analysis can be conducted, upgrading from static concentration assessment to dynamic capacity-load matching assessment. It can accurately locate sub-regions exceeding standards, tidal phases exceeding standards, and key pollutants, providing a scientific basis for the precise design and optimization of treatment projects (such as rainwater and sewage separation, backflow prevention, and hydrodynamic regulation), significantly improving the targeting and effectiveness of treatment measures.

[0040] Furthermore, based on the above embodiments, this invention also provides another method for analyzing the water quality compliance of tidal river networks. Specifically, regarding step S102, the water boundary of the target area can be determined based on the salinity gradient change rate and tidal phase synchronization; the topographic delineation node of the target area can be determined based on the location of abrupt changes in the cross-sectional morphology of the target area. Based on the water boundary and the topographic delineation node, the target area is divided into multiple independent sub-regions.

[0041] In practical implementation, the complex river network system is first divided into several sub-regions (boxes) with relatively homogeneous hydraulic characteristics based on the hydrodynamic characteristics and topographic structure of the tidal river network. The division is based on key indicators such as the rate of change of salinity gradient, tidal phase synchronicity, and the location of abrupt changes in cross-sectional morphology. Each box is considered an independent calculation unit, and its dynamic volume change pattern and the material exchange mechanism between adjacent boxes are clearly defined. Specifically, the tidal-affected area is divided into several interconnected boxes (regions), each representing a relatively homogeneous water body unit. For example: Box 1: Nearshore area (significantly affected by tides, shallow water); Box 2: Estuary area (tidal and runoff converge, strong pollutant mixing); Box 3: Open sea area (stable tidal action, large water exchange).

[0042] Furthermore, the static capacity of each independent sub-region relative to the river's pollution load structure can be determined based on the container volume and pollutant degradation coefficient of that sub-region. For example, the static capacity (during slack tide) can be calculated using the following formula:

[0043]

[0044] In the above formula, V is the volume of the tank, C is the pollutant concentration, and Q is the exchange flow rate between the tanks. Let be the outflow rate of box i, used to characterize the volume of water flowing out of the box; The preset water quality target concentration is used to characterize the concentration of water quality indicators set for this sub-region. Different types of pollutants have different target concentrations. This represents the background concentration of container i, which is also the original concentration of pollutants in this sub-region. The comprehensive degradation coefficient of pollutants in container i (including biodegradation, sedimentation, etc.); Let i be the volume of box i.

[0045] Specifically, based on historical rainfall data of the target area, typical rainfall conditions in the target area can be determined; the rainfall intensity distribution of typical rainfall conditions and the corresponding pollutant accumulation can be obtained; and based on the pollutant accumulation and the rainfall scouring and surface pollutant accumulation patterns in the target area, the river pollution load structure corresponding to each independent sub-region of the target area can be determined.

[0046] In this embodiment of the invention, the basic principles of river pollution load structure analysis and load calculation include: calculating the current baseline year's land-based pollution load entering the river by region and category; analyzing the spatial distribution and contribution weight of different types of pollution sources; and identifying key pollution source areas and main control indicators. Furthermore, a method for selecting typical rainfall events can be developed, with the goal of pollutants entering the river reaching their peak on rainy days.

[0047] This analysis can be based on historical rainfall data, examining both pollutant accumulation and rainfall intensity distribution. It combines local rainfall erosion and surface pollutant accumulation characteristics, prioritizing events with higher rainfall and longer preceding drought days. Daily rainfall and preceding drought days are statistically analyzed for each rainfall level to determine the most unfavorable rainfall conditions. Furthermore, based on historical rainfall data, rainfall pattern clustering analysis can be used to select typical rainfall events with significant spatiotemporal differences (including short-duration torrential rains, long-duration continuous rainfalls, and mixed rainfall during tidal periods). Further, based on the river pollution load structure corresponding to these typical rainfall events, tidal station data is integrated. Considering key parameters such as tidal hydrological conditions, river network structure, pollutant characteristics, and water quality targets, a preliminary estimation is performed using a partitioned box model, followed by precise calculation using a one-dimensional hydrodynamic and water quality model to comprehensively determine the environmental capacity value (i.e., the effective environmental capacity value described below). In practical implementation, rainfall washout analysis can be combined, and for each rainfall level, rainfall events with longer preceding drought periods should be selected whenever possible. Rainfall amounts should be counted using a method where rainfall intervals exceeding one hour are considered as one rainfall event. Efforts should be made to minimize the impact of subsequent rainfall events on a given rainfall event. This embodiment of the invention is particularly concerned with the impact of total pollution load entering the river on river water quality; therefore, rainfall events with long preceding drought periods (7 days or more) and large rainfall amounts can be selected. Correspondingly, Figure 2 A schematic diagram illustrating a typical rainfall selection process according to an embodiment of the present invention is shown.

[0048] Furthermore, for the divided independent sub-regions, a pollutant migration network is constructed between the corresponding containers, and the bidirectional mass flux driven by the ebb and flow of tides during the tidal cycle is quantified, thereby determining the environmental capacity map. In practice, this can be achieved through the following steps:

[0049] 1) Construct a pollutant migration network between independent sub-regions.

[0050] This step involves establishing a framework linking independent sub-regions with pollutant exchange, in order to quantify bidirectional mass fluxes based on this framework. Specifically, this framework can clearly define the dynamic volume changes of corresponding independent sub-regions and the mass exchange mechanisms between adjacent containers (such as the classification of containers into nearshore, estuarine, and offshore areas).

[0051] 2) Based on the container volume, pollutant concentration, and inter-container exchange flow rate of each independent sub-region, the initial bidirectional mass flux corresponding to the independent sub-region is determined through the pollutant migration network.

[0052] The basic exchange of pollutants between adjacent sub-regions can be calculated based on the pollutant migration network without tidal dynamic correction, providing benchmark data for subsequent tidal correction.

[0053] 3) Based on the tidal range influence factor corresponding to the tidal rhythm, the initial bidirectional mass flux is corrected for the first time, and the static capacity is corrected for the second time using the first corrected initial bidirectional mass flux to determine the effective environmental capacity value corresponding to the static capacity.

[0054] This invention specifically considers the periodic compression-expansion effect of tidal range on the volume of the container and the resulting change in diffusion intensity, with the volume (V) of each container being considered. i ), pollutant concentration (C) i ) and inter-box exchange flow (Q ij The capacity needs to be dynamically adjusted according to the tidal cycle. Under this premise, this step is to quantify the dynamic impact of tidal rhythm on material flux, correct the static capacity, and obtain the effective environmental capacity that fits the actual tidal river network, thus solving the problem of traditional capacity calculation being static and ignoring the tidal influence.

[0055] In practical implementation, a pollutant mass balance equation incorporating tidal dynamics is established for each container: ;

[0056] in, The exchange flow rate from box j to box i (varies with tides); For pollutant input into housing i (such as point source or area source emissions); The comprehensive degradation coefficient of pollutants (including biodegradation, sedimentation, etc.) for container i.

[0057] During the environmental capacity calculation phase, the allowable contamination threshold is calculated for each tank individually. The effective capacity value under different tidal conditions is dynamically corrected by coupling a tidal phase weighting function. The tidal difference causes periodic changes in the tank's exchange flow rate and volume, which must be parameterized through the following steps:

[0058] Tidal flow correction:

[0059]

[0060] Where: T is the tidal period; The tidal range influencing factor is determined by measured data.

[0061] Furthermore, data is dynamically corrected for high and low tide periods:

[0062]

[0063] in, Effective environmental capacity during high tide (f) / low tide (e) This is the tidal correction factor (which can be obtained from the correlation analysis between tidal range and capacity). This represents the actual tidal range. During high tide, the tank volume expands, the bidirectional flow increases, and the water's ability to hold pollutants improves; therefore, it is used... Correction (increased capacity); During low tide, the tank volume is compressed, the bidirectional flow is reduced, and the dirt-holding capacity decreases, therefore, [the following is used]: Correction (capacity reduction). This invention establishes a quantitative relationship between flux changes and capacity correction by statistically analyzing the variation amplitude of bidirectional flux under different tidal ranges, ensuring that the corrected effective capacity reflects the impact of tidal-driven pollutant migration on the pollution-carrying capacity. In one implementation, the Euler method or Runge-Kutta method can be used to solve a system of differential equations to dynamically simulate the change in pollutant concentration in each tank over time; the exchange flow coefficient is calibrated using monitoring data. ), degradation coefficient ( )wait.

[0064] Furthermore, the effective environmental capacity value (full river network zone capacity) of each independent sub-region of the target area can be spatiotemporally integrated along the tidal cycle of the tidal rhythm to generate a river network environmental capacity map that takes into account the tidal rhythm (i.e., the environmental capacity map of the target area corresponding to the tidal rhythm). Highly sensitive areas and optimal control windows can also be identified.

[0065] In one implementation, a stormwater and sewage pipe network model and a river network hydrodynamic model can be constructed, and the two can be loosely coupled in the middle to form a complete transmission link from the pipe network to the river channel to the container, i.e., a pollutant migration network, ensuring that the pollutant exchange process between the containers can be accurately simulated. The stormwater and sewage pipe network model can be used to simulate pipe network confluence and pollutant transport, determining the pollutant flow rate and concentration at the pipe network outlet; the river network hydrodynamic model can be used to simulate river hydrodynamics, determining the hydraulic connection relationship between the containers. Specifically, refer to the following steps:

[0066] a- Based on the pipe network distribution of the target area, construct a stormwater and sewage pipe network model for the preset independent sub-areas within the target area.

[0067] Specifically, the SWMM model can be used to calculate rainfall generation and pipe network runoff in each zone. For example, the dynamic wave method can be used to simulate pipe network flow to construct separate hydrodynamic and water quality models for rainwater and sewage pipe networks. In particular, by using the SWMM model to simulate surface runoff generation and runoff and rainfall infiltration, the interception of rainfall by the surface and the infiltration of rainfall by the soil layer can be analyzed. Furthermore, based on the topography of the target area and the urban spatial structure, the target area can be divided into several sub-catchment areas containing permeable and impermeable zones.

[0068] (1) Surface runoff calculation: Runoff can be calculated for sub-catchment areas of various types of surface generalization in the study area by using runoff calculation methods for permeable areas, runoff calculation for areas with depressions and impermeable areas, and runoff calculation methods for areas without depressions and impermeable areas.

[0069] (2) Infiltration process simulation: The infiltration process of rainfall runoff mainly exists in permeable areas. The current SWMM model software provides four calculation methods to simulate the infiltration process of rainfall runoff: Horton equation, modified Horton equation, Green-Ampt equation and runoff curve numerical method. It is necessary to select the appropriate infiltration calculation method in combination with the characteristics of the study area.

[0070] (3) Surface runoff calculation: Surface runoff can be calculated in the SWMM model using the nonlinear reservoir method, where each sub-catchment is treated as a reservoir. The water input mainly includes rainfall and water from upstream sub-catchments, while the water output mainly includes evaporation, infiltration, and outflow. This method solves the problem by simultaneously applying the Manning equation and the continuity equation. The maximum depression storage capacity represents the maximum capacity of the reservoir, which is reflected on the actual surface as the amount of water retained in the depression and the amount of surface wetting water. Runoff will only occur on the surface when the water depth in the depression exceeds the maximum storage depth dp.

[0071] Correspondingly, the stormwater and sewage pipe network model can be constructed through the following steps.

[0072] (1) Pipeline network hydrodynamic model:

[0073] The dynamic wave method in the SWMM model can be used to simulate and calculate the flow rate in a pipe network. The dynamic wave method establishes a complete set of Saint-Venant equations based on the continuous momentum equation and the conservation of mass at pipe nodes. Solving this set of equations yields the changes in water flow in the pipe network. It is applicable to the simulation of any pipe network system and time scale, and can simulate pipe backflow, counterflow, pressurized flow, and head loss.

[0074] (2) Pipeline water quality model:

[0075] The mathematical framework of the model can be built based on the material transport equation:

[0076]

[0077] Where c is the component concentration (ML-3), U is the longitudinal velocity (LT-1), D is the longitudinal dispersion coefficient (L2 / T), r(c) is the reaction rate term (ML-3T-1), x is the longitudinal distance (L), and T is the time (T). Solving the above equation requires boundary and initial conditions. In the transport network type simulated by SWMM, the boundary conditions will be the concentration at the nodes at both ends of the pipeline.

[0078] For simple junction nodes without water storage capacity, the instantaneous concentration is simply expressed as the instantaneous flow-weighted average concentration of all inflows to that node.

[0079]

[0080] in, Let j be the concentration at node j. The concentration at the end of pipe segment i connected to node j. Let i be the flow rate at the end of pipe segment i. Let be the mass flow rate of any direct external component source of node j. Traffic originating from external sources.

[0081] For a water storage node, assuming the water volume is completely mixed, the uniform concentration within the node is controlled by the following mass conservation equation:

[0082]

[0083] in, Let j be the water storage volume. The flow rate entering the end of pipe segment i at node j. The flow rate at the beginning of pipe segment k, which leaves node j. Let r be the mass flow rate of any external source entering node j, and r be the reaction rate term.

[0084] b- Based on the river network topology of the target region, construct a hydrodynamic model for a preset independent sub-region within the target region.

[0085] The MIKE11 river model can be used to simulate and calculate the spatiotemporal distribution of hydrodynamic and water quality in the implementation area (i.e., the target area) under various hydrological periods and meteorological conditions. Furthermore, the model calculations can be performed in conjunction with the spatiotemporal distribution of hydrodynamic and water quality under rainfall conditions corresponding to the aforementioned pollution load structure entering the river.

[0086] The specific construction steps are as follows:

[0087] (1) River hydrodynamic model: In one implementation, the river system under study can belong to the South China tidal river network system, and the governing equations of the model are the Saint-Venant equations describing one-dimensional unsteady flow motion:

[0088] Continuity equation: ;

[0089] Momentum equation: ;

[0090] Where: Z is the average water level of the cross section; Q, A, and B are the cross section flow rate, water flow area, and water surface width; x and t are the distance and time; q is the side inflow, and a negative value indicates outflow; B is the momentum correction coefficient; and g is the gravitational acceleration. For friction gradient, Manning's formula is used for calculation. / C2, C=h1 / 6 / n; Let be the component of the lateral outflow velocity in the mainstream direction per unit flow path. The equations can be solved using the Abbott-Lonescu six-point implicit finite difference scheme, which features good stability and high computational accuracy. The discretized linear equations are solved using the pursuit method.

[0091] (2) Construction of river water quality model

[0092]

[0093] Where x is the spatial coordinate (unit: m); t is the time coordinate (unit: s); C is the substance concentration (unit: mg / L); D is the longitudinal diffusion coefficient (unit: m2 / s); A is the cross-sectional area (m2); and K is the linear decay coefficient (unit: 1 / d). q represents the source / sink concentration (unit: mg / L); q represents the side inflow rate (m³ / s).

[0094] c- Loosely couple the hydrodynamic model and the stormwater and sewage pipe network model to generate a pollutant migration network for multiple independent sub-regions of the target area.

[0095] Among them, an intermediate module can be built based on Python software to loosely couple the stormwater and sewage pipe network model and the river model. Based on the water system layout of the project area, a one-dimensional river network model is obtained by generalization through MIKE11 software. Then, the outflow process of the pipes in each zone is taken as the inflow process of the one-dimensional river network model to simulate the gate pump scheduling and the hydrodynamic and water quality processes of the river.

[0096] In one implementation, spatial coordinates of pipeline nodes and river cross-sections can be unified based on a GIS platform, establishing a mapping relationship between pipeline outlets and river nodes (e.g., based on the nearest distance principle or topological connection) to integrate spatial data. The flow rate and pollutant concentration at the pipeline outlets are output in real-time as upstream boundary conditions of the river, while the river level (affected by tides) is fed back to the pipeline outlets as a reverse water pressure boundary (to prevent backflow), achieving mutual transmission of dynamic boundary conditions. Furthermore, a unified calculation time step can be set, and interpolation algorithms can be used to coordinate differences in time steps between different models (e.g., when the river model has a longer time step, the pipeline output data difference is adapted). Correspondingly, Figure 3 The flowchart for constructing the above-mentioned land-water coupling model is shown.

[0097] The model construction is a dynamic process and can be validated based on measured data. In one implementation, the target area can be located in the tidal section of the lower Pearl River, where tidal changes significantly affect the calculation results. Correspondingly, this embodiment of the invention also requires setting boundary control conditions to obtain more reasonable calculation results. Specifically, the outer river channel can be used as the model boundary channel, and measured tidal level data can be used as the calculation boundary. Furthermore, pollution source boundaries and interval rainfall-runoff boundaries can also be set. Furthermore, a typical tidal cycle can be selected, and the river network hydrodynamic model can be calibrated and validated using measured data and the results simulated by the hydrodynamic model, thereby ensuring that the water level and flow simulation effect of the river network hydrodynamic model is good, and the relative error between the calculated and measured values ​​is small.

[0098] Preferably, the calculation parameters of the hydrodynamic model (i.e., the MIKE11 one-dimensional hydrodynamic model) may include: water quality indicators: COD, NH3-N, and TP are selected for calculation; background pollutant concentration (based on marine water quality data): the background pollutant concentration refers to the initial background pollutant concentration that needs to be set for the water body in the model before establishing the water quality model and starting the simulation calculation. This concentration represents the pollutant level that already exists in the water body under natural conditions or under the influence of long-term regional pollution before the start of the simulation period; initial conditions: optionally, the initial concentration is assigned based on measured data or steady-state simulation results; pollutant degradation coefficient: the degradation coefficient of pollutants in the river channel is related to many factors. Among them, the degradation system of each pollutant in the water quality simulation of this embodiment can refer to the survey and analysis results of rivers in the relevant region, such as the degradation coefficient of COD being 0.15 / d, the degradation coefficient of ammonia nitrogen being 0.12 / d, and the degradation coefficient of total phosphorus being 0.1 / d. Furthermore, the calculation parameters of the SWMM pipeline network model can be determined based on surface runoff calculation, infiltration calculation, and surface runoff calculation.

[0099] In summary, based on the above embodiments, Figure 4 The diagram illustrates the calculation of tidal river network environmental capacity based on a partitioned box model according to an embodiment of the present invention, to demonstrate the complete process from information collection, model verification to dynamic optimization.

[0100] Furthermore, based on the aforementioned environmental capacity map, water quality compliance analysis is conducted for each independent sub-region to determine whether it meets the preset water quality targets under tidal rhythms. Specifically, the pollution load calculation results and river water environmental capacity calculation results for each independent sub-region can be determined based on the environmental capacity map. According to the preset total pollution control zoning targets for the target area, water quality compliance analysis is performed on the pollution load calculation results and river water environmental capacity calculation results for each independent sub-region to determine whether the corresponding independent sub-region meets the preset water quality targets. Correspondingly, Figure 5A schematic diagram of the water quality compliance analysis process corresponding to an embodiment of the present invention is shown.

[0101] Through the above steps, a hydrodynamic and water quality model for the project implementation area is constructed based on the theoretical basis of total water environmental capacity control. Under the overall guidance of the model, an analysis of the overall compliance of river water quality and efficiency improvement is conducted. Simultaneously, the scale and overall design scheme of stormwater and sewage separation projects, backflow prevention projects at discharge outlets, combined sewer interception projects, and hydrodynamic regulation projects can be demonstrated. This further verifies whether existing engineering measures can achieve the established goals, optimizes existing measures, and proposes targeted, precise, and efficient measures based on the current watershed situation. In one implementation method, based on the system investigation and statistical analysis of pollution sources ("plant, network, river, source, city") and the analysis of influent system characteristics, and through the calculation of pollution load entering the river in each zone and the calculation of river water environmental capacity, total control zone targets based on water quality compliance can be formulated. Furthermore, the water-land correlation technology model of the aforementioned river water environment model + stormwater and sewage pipe network system model can be used to conduct step-by-step simulation and evaluation of engineering measures. Figure 6 A schematic diagram of the integrated plant-network-river system corresponding to an embodiment of the present invention is shown. Figure 6 In this process, the "plant" ensures that pollutant concentrations meet engineering requirements, and its scale is affected by dry season sewage, external water (groundwater, river water), and intercepted rainwater. The "network" links indicators such as overflow pollution from the pipe network system, network size, and sewage collection rate. The "river" assesses the stable achievement of water quality standards at key monitoring sections, eliminating black and odorous rivers and canals in urban and rural areas. Furthermore, a model enables two-way linkage between the "plant-network-river," while considering the impact of external water on all three. Through the coordinated optimization of factors such as "Class A" treatment standards and sewage volume, the integrated water environment management goal of plant-network-river is achieved.

[0102] Furthermore, regarding the current water quality analysis of the plant and network system, the model simulation can select consecutive dry days in the dry month of a dry year as representative periods of sunny weather, and consecutive rainy days in the wet month of a wet year as representative periods of rainy weather, to analyze the coordinated changes in the operation of the current plant and network system with river water levels and rainfall under different hydrological and meteorological conditions. Further, using a complete stormwater and sewage pipe network model, the influent pollutant concentration of a specific sewage treatment plant within the implementation area is evaluated and analyzed. If, under both dry and wet season conditions, the simulated values ​​and measured influent concentration trends of the current scheme model maintain a high degree of consistency, indicating a good model fit, then the model can reflect the actual influent situation of the sewage treatment plant. If the simulated values ​​are significantly lower than the target influent concentration, a systematic remediation plan tailored to each plant is required to further improve the influent concentration. If river backflow in the implementation area is the main factor affecting the influent concentration and impacting the sewage treatment plant's treatment capacity, then the river backflow problem needs to be prioritized for remediation. Furthermore, based on the spatial distribution of pollutant concentrations in the pipeline system simulated by the current scheme model under typical dry and wet season conditions, the problems existing in the stormwater and sewage pipeline network can be analyzed, the biggest influencing factors on the water quality concentration and operating water level of the drainage pipeline in the implementation area can be determined, and further improvement schemes can be proposed.

[0103] In summary, the treatment projects designed to address existing water quality exceeding standards in the implementation area according to the embodiments of this invention can be mainly divided into three categories: water pollution prevention and control projects, water environment management projects, and hydrodynamic construction projects. Among them, water pollution prevention and control projects focus on source control and interception of pollution; water environment management projects focus on endogenous pollution control and are fundamental projects for improving the current state of river habitats; and hydrodynamic construction projects aim to improve river hydrodynamics and increase the water environment capacity at dead-end sections of canals. Under different hydrological and meteorological conditions, models were used to simulate the river water conditions under different combinations of treatment projects and different project scales. For example, after the implementation of rainwater and sewage separation projects, the drainage system is less affected by river water levels and rainfall events, the water volume and quality of the drainage system are relatively stable, and the river water quality has significantly improved. However, in areas where sewage is directly discharged, such as industrial zones and residential communities, the compliance rate is still low. Therefore, it is necessary to further promote the comprehensive supervision and separation project to fundamentally solve the pollution sources of the river, address the root causes, and ensure that the river water quality meets the target water quality requirements. This invention relies on the hydraulic connection between the internal water bodies and the surrounding water system of the implementation area. Based on water diversion pumping stations, control gates, and a unified scheduling and management system, it achieves full coverage of major rivers and canals by constructing gates and stations and rationally scheduling and directionally controlling the flow direction of the river network, thereby increasing the flow velocity of fresh water and accelerating water circulation. Furthermore, based on the direction of river flow at the time of water discharge simulated by the hydrodynamic model under the gate opening and tax refund conditions, and combined with the spatial distribution of each water discharge gate, water discharge zones can be divided. The horizontal distance between the river flow in each water discharge zone and the corresponding water discharge gate is the discharge path length. By simulating the changes in the discharge path before and after the project through the model, the discharge path length can be optimized to shorten the time for pollutants to be discharged from the implementation area. The spatial distribution law of inflow and outflow velocities under different operating conditions can be analyzed to select the scheduling scheme with the optimal overall flow velocity. The water exchange cycle distribution before and after the project under conventional scheduling can be obtained through model calculation.

[0104] In summary, this invention establishes a dynamic response relationship between pollution load, transport process, control measures, and river water quality. Based on the calibration and verification of river water quantity and quality, it simulates and analyzes the spatiotemporal changes of pollution load, transport process, and river water quality across the entire region. Using mathematical modeling as the primary method and the inflow coefficient method as a supplement, it accurately quantifies the pollutant load entering the river in specific areas. By integrating pollution source, water body monitoring, and simulation results, it calculates and verifies the land-based pollution load entering the river, thereby defining key pollution source areas. Under the premise of positive guidance on total pollution levels, it simulates compliant reduction schemes aimed at achieving water quality standards, adhering to the principles of technical and economic feasibility, exploring pollution reduction allocation principles, and providing suggestions for total pollution level zoning targets and engineering measures implementation.

[0105] Based on the above system embodiments, this invention also provides a tidal river network water quality compliance analysis device. (Refer to...) Figure 7The device includes: a region division module 10, used to divide the target area into multiple independent sub-regions based on the hydrodynamic characteristics and topographic structure of the target area; a calculation module 20, used to determine the static capacity of each independent sub-region based on the pollution load structure entering the river in the target area; and to determine the effective environmental capacity value corresponding to the static capacity based on the tidal rhythm of the target area and the bidirectional mass flux between each independent sub-region; a data processing module 30, used to construct an environmental capacity map of the target area corresponding to the tidal rhythm based on the effective environmental capacity value; and an analysis module 40, used to perform water quality compliance analysis on each independent sub-region based on the environmental capacity map to determine whether the independent sub-region meets the preset water quality target under the tidal rhythm.

[0106] The tidal river network water quality compliance analysis device provided in this embodiment of the invention has the same implementation principle and technical effect as the aforementioned method embodiment. For the sake of brevity, any parts not mentioned in the device embodiment can be referred to the corresponding content in the aforementioned method embodiment.

[0107] This invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the above-described... Figure 1 The steps of the method are shown. Embodiments of the present invention also provide a computer-readable storage medium storing a computer program, which, when executed by a processor, performs the above-described steps. Figure 1 The steps of the method are shown. This invention also provides a schematic diagram of the structure of an electronic device, as shown. Figure 8 The diagram shows the structure of the electronic device, which includes a processor 101 and a memory 100. The memory 100 stores computer-executable instructions that can be executed by the processor 101. The processor 101 executes the computer-executable instructions to implement the above-mentioned... Figure 1 The method shown.

[0108] exist Figure 8In the illustrated embodiment, the electronic device further includes a bus 102 and a communication interface 103, wherein the processor 101, the communication interface 103, and the memory 100 are connected via the bus 102. The memory 100 may include high-speed random access memory (RAM) or non-volatile memory, such as at least one disk drive. Communication between this system network element and at least one other network element is achieved through at least one communication interface 103 (which can be wired or wireless), using the Internet, wide area network, local area network, metropolitan area network, etc. Bus 102 can be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus, or an EISA (Extended Industry Standard Architecture) bus, or an AMBA (Advanced Microcontroller Bus Architecture) bus. AMBA defines three types of buses: APB (Advanced Peripheral Bus), AHB (Advanced High-performance Bus), and AXI (Advanced eXtensible Interface). Bus 102 can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 8The diagram uses only a single double-headed arrow, but this does not imply a single bus or a single type of bus. Processor 101 may be an integrated circuit chip with signal processing capabilities. In implementation, each step of the above method can be completed by the integrated logic circuitry in the hardware of processor 101 or by instructions in software form. Processor 101 can be a general-purpose processor, including a Central Processing Unit (CPU), a Network Processor (NP), etc.; it can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. The general-purpose processor can be a microprocessor or any conventional processor. The steps of the method disclosed in the embodiments of this application can be directly manifested as execution by a hardware decoding processor, or execution by a combination of hardware and software modules in the decoding processor. The software module can reside in a mature storage medium in the field, such as random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, or registers. This storage medium is located in memory, and the processor 101 reads information from the memory and, in conjunction with its hardware, completes the aforementioned tasks. Figure 1 The method shown.

[0109] The computer program product of the tidal river network water quality compliance analysis method, device, and electronic device provided in this embodiment of the invention includes a computer-readable storage medium storing program code. The instructions included in the program code can be used to execute the methods described in the preceding method embodiments. For specific implementation, please refer to the method embodiments, which will not be repeated here. Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process of the system described above can be referred to the corresponding process in the preceding method embodiments, which will not be repeated here. In addition, in the description of the embodiments of the invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium; it can be a connection within two components. For those skilled in the art, the specific meaning of the above terms in this invention can be understood according to the specific circumstances. If the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0110] In the description of this invention, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are used only for the convenience of describing the invention and for simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance. Finally, it should be noted that the above embodiments are merely specific implementations of the invention, used to illustrate the technical solutions of the invention, and not to limit it. The scope of protection of the invention is not limited thereto. Although the invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that any person skilled in the art can still modify or easily conceive of changes to the technical solutions described in the foregoing embodiments within the technical scope disclosed in this invention, or make equivalent substitutions for some of the technical features; and these modifications, changes, or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this invention, and should all be covered within the scope of protection of this invention. Therefore, the scope of protection of this invention should be determined by the scope of the claims.

Claims

1. A method for analyzing water quality compliance in tidal river networks, characterized in that, The method includes: Based on the hydrodynamic characteristics and topographic structure of the target area, the target area is divided into multiple independent sub-regions; Based on the pollution load structure entering the river in the target area, determine the static capacity of each independent sub-region; based on the tidal rhythm of the target area and the bidirectional material flux between each independent sub-region, determine the effective environmental capacity value corresponding to the static capacity. Construct an environmental capacity map of the target area corresponding to the tidal rhythm based on the effective environmental capacity value; Based on the environmental capacity map, water quality compliance analysis is performed on each of the independent sub-regions to determine whether the independent sub-regions meet the preset water quality targets under the tidal rhythm. The step of determining the effective environmental capacity value corresponding to the static capacity based on the tidal rhythm of the target area and the bidirectional mass flux between each of the independent sub-regions includes: Construct a pollutant migration network between the independent sub-regions; Based on the container volume, pollutant concentration, and inter-container exchange flow rate of each independent sub-region, the initial bidirectional mass flux corresponding to each independent sub-region is determined through the pollutant migration network. Based on the tidal range influence factor corresponding to the tidal rhythm, the initial bidirectional mass flux is first corrected, and the static capacity is second corrected using the first corrected initial bidirectional mass flux to determine the effective environmental capacity value corresponding to the static capacity.

2. The method according to claim 1, characterized in that, The step of dividing the target area into multiple independent sub-regions based on the hydrodynamic characteristics and topographic structure of the target area includes: The water boundary of the target area is determined based on the rate of change of salinity gradient and the tidal phase synchronization of the target area; Based on the locations of abrupt changes in the cross-sectional morphology of the target area, the terrain delineation nodes of the target area are determined; Based on the water boundary and the terrain division node, the target area is divided into multiple independent sub-regions.

3. The method according to claim 1, characterized in that, The step of determining the static capacity of each independent sub-region based on the river pollution load structure of the target region includes: Based on the container volume and pollutant degradation coefficient of each independent sub-region, the static capacity of the current independent sub-region for the river pollution load structure is determined.

4. The method according to any one of claims 1 or 3, characterized in that, The method further includes: Based on historical rainfall data of the target area, determine the typical rainfall conditions of the target area; Obtain the rainfall intensity distribution of the typical rainfall conditions, and the cumulative amount of pollutants corresponding to the rainfall intensity distribution; Based on the accumulated amount of pollutants and the patterns of rainfall erosion and surface pollutant accumulation in the target area, the river pollution load structure corresponding to each independent sub-region of the target area is determined.

5. The method according to claim 1, characterized in that, The step of constructing an environmental capacity map of the target area corresponding to the tidal rhythm based on the effective environmental capacity value includes: Along the tidal cycle of the tidal rhythm, the effective environmental capacity value of each independent sub-region of the target region is spatiotemporally integrated to generate an environmental capacity map of the target region corresponding to the tidal rhythm.

6. The method according to claim 1, characterized in that, The steps for constructing the pollutant migration network between the independent sub-regions include: Based on the pipe network distribution of the target area, construct a stormwater and sewage pipe network model for a preset independent sub-region within the target area; Based on the river network topology of the target region, a hydrodynamic model for a preset independent sub-region within the target region is constructed. The hydrodynamic model and the stormwater and sewage pipe network model are loosely coupled to generate a pollutant migration network for multiple independent sub-regions of the target area.

7. The method according to claim 1, characterized in that, Based on the environmental capacity map, the step of performing water quality compliance analysis on each independent sub-region to determine whether the independent sub-region meets the preset water quality target under the tidal rhythm includes: Based on the environmental capacity map, determine the pollution load calculation results for each independent sub-region and the environmental capacity calculation results for the river water. Based on the preset total control zoning targets for the target area, water quality compliance analysis is performed on the pollution load calculation results and the river water environmental capacity calculation results for each independent sub-region to determine whether the corresponding independent sub-region meets the preset water quality targets.

8. A device for analyzing water quality compliance in tidal river networks, characterized in that, The device includes: The region division module is used to divide the target region into multiple independent sub-regions based on the hydrodynamic characteristics and topographic structure of the target region; The calculation module is used to determine the static capacity of each independent sub-region based on the pollution load structure entering the river in the target area; and to determine the effective environmental capacity value corresponding to the static capacity based on the tidal rhythm of the target area and the bidirectional mass flux between each independent sub-region. The data processing module is used to construct an environmental capacity map of the target area corresponding to the tidal rhythm based on the effective environmental capacity value; The analysis module is used to perform water quality compliance analysis on each of the independent sub-regions based on the environmental capacity map, so as to determine whether the independent sub-regions meet the preset water quality targets under the tidal rhythm. The calculation module is further configured to: construct a pollutant migration network between the independent sub-regions; determine the initial bidirectional mass flux corresponding to each independent sub-region through the pollutant migration network based on the container volume, pollutant concentration, and inter-container exchange flow of each independent sub-region; perform a first correction on the initial bidirectional mass flux based on the tidal range influence factor corresponding to the tidal rhythm, and use the first-corrected initial bidirectional mass flux to perform a second correction on the static capacity, thereby determining the effective environmental capacity value corresponding to the static capacity.

9. An electronic device, characterized in that, The electronic device includes a processor and a memory, the memory storing machine-executable instructions that can be executed by the processor, and the processor executing the machine-executable instructions to implement the tidal river network water quality compliance analysis method according to any one of claims 1 to 7.

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