Estuary coastal wetland ecological vulnerability assessment method and model calculation system

Abstract

The invention discloses an estuary coastal wetland ecological vulnerability assessment method and a model calculation system. The method comprises the following steps: acquiring vegetation coverage real-time data and satellite cloud real-time data through satellite monitoring; monitoring the coastal wetland ecology of the estuary through surveying equipment to obtain hydrological real-time data and sediment real-time data; performing initialization setting on a preset estuary coastal wetland ecological coupling model according to the vegetation coverage real-time data, the satellite cloud real-time data, the hydrological real-time data and the sediment real-time data; inputting the water area inning data and the pollutant discharge data into the estuary coastal wetland ecological coupling model, and performing landform dynamic deduction by the estuary coastal wetland ecological coupling model to obtain ecological landform information in set time; performing ecological vulnerability assessment based on the ecological landform information; meanwhile, the influence of human activities and hydrological-hydrodynamic processes on the coastal wetland ecology of the estuary is comprehensively considered, and the prediction precision of the ecological vulnerability is improved.

Description

Technical Field

[0001] The invention belongs to the field of wetland ecological vulnerability assessment, and in particular relates to an estuarine coastal wetland ecological vulnerability assessment method and a model calculation system. Background Art

[0002] With the intensification of global climate change and human activities, estuarine and coastal wetland ecosystems are facing unprecedented challenges. These wetlands are not only important habitats for biodiversity, but also important carbon sinks and flood barriers. However, existing studies and models often ignore the complexity and dynamics of these ecosystems, especially their evolution under the influence of climate change and human activities.

[0003] Traditional wetland research focuses on the analysis of a single factor or a single process, without considering the impact of climate change on wetland vegetation or the changes in hydrodynamic conditions caused by human activities. Although these studies provide valuable information, they often lack an in-depth understanding of the overall dynamics of estuarine coastal wetland ecosystems. In addition, existing models and methods often have limitations when dealing with interdisciplinary, multi-scale and multi-process coupling problems. Summary of the invention

[0004] The present invention provides an ecological vulnerability assessment method and model calculation system for estuarine coastal wetlands, which are used to simulate and predict the evolution of estuarine coastal wetlands under the influence of climate change and human activities by coupling a multi-process model of the atmosphere, ocean, wave, sediment and estuarine coastal wetland ecosystems.

[0005] In order to achieve the above object, the technical solution adopted by the present invention is: The first aspect of the present invention provides a vulnerability assessment method for estuarine coastal wetland ecology, comprising: Obtain real-time vegetation coverage data and satellite cloud data through satellite monitoring; obtain real-time hydrological data and sediment data by monitoring the estuary coastal wetland ecology through survey equipment; Initialize the preset estuarine coastal wetland ecological coupling model based on real-time vegetation coverage data, satellite cloud data, hydrological data and sediment data; input water reclamation data and pollutant emission data into the estuarine coastal wetland ecological coupling model, and use the estuarine coastal wetland ecological coupling model to perform geomorphological dynamic deduction to obtain ecological geomorphological information at the set time; and conduct ecological vulnerability assessment based on ecological geomorphological information; The construction process of the estuarine coastal wetland ecological coupling model includes: The ocean sub-model, wave sub-model and sediment transport sub-model are integrated to obtain the regional hydrodynamic model. The meteorological model, water quality and ecological model, regional hydrodynamic model, vegetation expansion model and wetland swamp model are combined through the coupler to construct the estuarine coastal wetland ecological coupling model.

[0006] Furthermore, the water reclamation data and pollutant discharge data are input into the estuarine coastal wetland ecological coupling model, and the estuarine coastal wetland ecological coupling model is used to perform geomorphological dynamics deduction to obtain ecological geomorphological information at a set time, including: The meteorological model is used to deduce the satellite cloud real-time data to obtain meteorological data, wherein the meteorological data includes wind speed and precipitation; The regional hydrodynamic model receives meteorological data, simulates regional hydrodynamics based on meteorological data and real-time hydrological data to obtain ocean state data and sediment distribution data; The water quality and ecological model receives the ocean status data, simulates the propagation process of ocean water pollution based on the pollutant emission data and the ocean status data, and outputs the water quality status data; The vegetation expansion model receives meteorological data, water quality data and ocean status data, simulates the growth, expansion and spatial distribution changes of wetland vegetation and outputs vegetation coverage data; The wetland swamp model receives water reclamation data, sediment distribution data, ocean status data and vegetation coverage data, simulates the wetland swamp distribution area and outputs wetland swamp coverage data. The meteorological data, ocean status data, sediment distribution data, water quality data, vegetation coverage data and wetland swamp coverage data constitute ecological geomorphological information.

[0007] Furthermore, the process of simulating regional hydrodynamics based on meteorological data and real-time hydrological data to obtain ocean state data and sediment distribution data includes: The ocean sub-model responds to the received meteorological data and simulates the ocean circulation and ocean tide according to the precipitation and hydrological real-time data to output the regional ocean current data and regional tide data; The wave sub-model receives meteorological data, regional ocean current data and regional tidal data, simulates the waves according to the wind speed, regional ocean current data and regional tidal data, and outputs wave force and wave height; the regional ocean current data, regional tidal data, wave force and wave height constitute the ocean state data; The sediment transport sub-model receives regional ocean current data, real-time vegetation coverage data, wave force and wave height, sets sediment anti-erosion parameters according to the real-time vegetation coverage data, and simulates the sediment erosion, suspension, deposition and transport processes according to the sediment anti-erosion parameters, wave force and wave height to output sediment distribution data.

[0008] Furthermore, it also includes: obtaining the time resolution supported by meteorological models, water quality and ecological models, regional hydrodynamic models, vegetation expansion models and wetland swamp models; comparing and screening various time resolutions to obtain the lowest time resolution, and setting the time step of the estuarine coastal wetland ecological coupling model according to the lowest time resolution; The weather data, ocean state data, sediment distribution data, water quality data, vegetation cover data and wetland swamp cover data are converted into different formats and timestamped through the coupler; The meteorological model, water quality and ecological model, regional hydrodynamic model, vegetation expansion model and wetland swamp model are controlled to send and receive data at each single time step according to the timestamp.

[0009] Furthermore, the training process of the estuarine coastal wetland ecological coupling model includes: Obtain satellite cloud record data, vegetation cover record data, hydrological record data and sediment record data from the water area database and meteorological database; standardize the satellite cloud record data, vegetation cover record data, hydrological record data and sediment record data and use them as training samples; The training samples are used to train the estuarine coastal wetland ecological coupling model to obtain geomorphic deduction data. The training loss value is calculated based on the geomorphic deduction data and the real geomorphic data. The expression formula is: ; ; In the formula, Training loss value for the weather model; for water quality and ecological models; is the training loss value of the regional hydrodynamic model; is the training loss value of the vegetation expansion model; is the training loss value of the wetland swamp model; is the training error weight of the meteorological model; is the training error weight of the water quality and ecological models; is the training error weight of the regional hydrodynamic model; is the training error weight of the vegetation expansion model; is the training error weight of the wetland swamp model; is the training error weight of the i-th model; is the true value of the i-th model at the j-th observation point; is the predicted value of the i-th model at the j-th observation point; i is the model type, ; n is the total number of observation points; The parameters of the estuarine coastal wetland ecological coupling model are optimized according to the training loss value, and the iteration is repeated until the training loss value converges to output the trained estuarine coastal wetland ecological coupling model.

[0010] Furthermore, the process of ecological vulnerability assessment based on ecological geomorphological information includes: ; ; In the formula, is the evaluation value of estuarine coastal wetland ecology, is the vegetation coverage; It is a water quality indicator; for sediment stability; It is the wetland swamp coverage; is the weight of vegetation coverage; is the weight of water quality index; is the weight of sediment stability; is the weight of wetland swamp coverage; is the ecological vulnerability influencing factor, including vegetation coverage, water quality index, sediment stability, and wetland coverage; k is the category of ecological vulnerability influencing factors, ; is the sensitivity coefficient of the kth ecological vulnerability influencing factor; is the environmental parameter value of the kth ecological vulnerability influencing factor; is the threshold of the kth ecological vulnerability influencing factor.

[0011] Furthermore, the regional hydrodynamic model is set to the TELEMAC open source model, and the meteorological model is set to the WRF open source model.

[0012] The second aspect of the present invention provides a model calculation system for vulnerability assessment of estuarine coastal wetland ecology, comprising: The acquisition module is used to obtain real-time data on vegetation coverage and satellite cloud layer through satellite monitoring; and to obtain real-time hydrological data and sediment data by monitoring the ecology of estuarine coastal wetlands through survey equipment; The deduction module is used to initialize the preset estuarine coastal wetland ecological coupling model according to the real-time data of vegetation coverage, satellite cloud layer, hydrological data and sedimentation data; input the water reclamation data and pollutant emission data into the estuarine coastal wetland ecological coupling model, and the estuarine coastal wetland ecological coupling model is used to perform geomorphological dynamic deduction to obtain the ecological geomorphological information at the set time; An assessment module for ecological vulnerability assessment based on eco-geomorphological information; The model building module is used to integrate the ocean sub-model, wave sub-model and sediment transport sub-model to obtain the regional hydrodynamic model, and to combine the meteorological model, water quality and ecological model, regional hydrodynamic model, vegetation expansion model and wetland swamp model through the coupler to construct the estuarine coastal wetland ecological coupling model.

[0013] Furthermore, the deduction module inputs the water reclamation data and pollutant discharge data into the estuarine coastal wetland ecological coupling model, and the estuarine coastal wetland ecological coupling model performs geomorphological dynamic deduction to obtain ecological geomorphological information at a set time, including: The meteorological model is used to deduce the satellite cloud real-time data to obtain meteorological data, wherein the meteorological data includes wind speed and precipitation; The regional hydrodynamic model receives meteorological data, simulates regional hydrodynamics based on meteorological data and real-time hydrological data to obtain ocean state data and sediment distribution data; The water quality and ecological model receives the ocean status data, simulates the propagation process of ocean water pollution based on the pollutant emission data and the ocean status data, and outputs the water quality status data; The vegetation expansion model receives meteorological data, water quality data and ocean status data, simulates the growth, expansion and spatial distribution changes of wetland vegetation and outputs vegetation coverage data; The wetland swamp model receives water reclamation data, sediment distribution data, ocean status data and vegetation coverage data, simulates the wetland swamp distribution area and outputs wetland swamp coverage data. The meteorological data, ocean status data, sediment distribution data, water quality data, vegetation coverage data and wetland swamp coverage data constitute ecological geomorphological information.

[0014] The third aspect of the present invention provides an electronic device, comprising a storage medium and a processor; the storage medium is used to store instructions; the processor is used to operate according to the instructions to execute the vulnerability assessment method of estuarine coastal wetland ecology described in the first aspect.

[0015] Compared with the prior art, the present invention has the following beneficial effects: The present invention initializes a preset estuarine coastal wetland ecological coupling model according to real-time vegetation coverage data, satellite cloud data, hydrological data and sediment data; inputs water reclamation data and pollutant emission data into the estuarine coastal wetland ecological coupling model, and uses the estuarine coastal wetland ecological coupling model to dynamically deduce geomorphology to obtain ecological geomorphological information of a set time; performs ecological vulnerability assessment based on the ecological geomorphological information; and comprehensively considers the impact of human activities and hydrological-hydrodynamic processes on the ecology of estuarine coastal wetlands to improve the prediction accuracy of ecological vulnerability. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 A flow chart of a vulnerability assessment method for estuarine coastal wetland ecology provided in Example 1 of the present invention; Figure 2 A vulnerability assessment relationship diagram of estuarine coastal wetland ecology provided in Example 1 of the present invention; Figure 3 This is a relationship diagram for the ecological and geomorphological deduction of estuarine coastal wetlands provided in Example 1 of the present invention. DETAILED DESCRIPTION

[0017] The present invention will be further described below in conjunction with the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solution of the present invention, and cannot be used to limit the protection scope of the present invention.

[0018] Example 1 like Figures 1 to 3 As shown, this implementation provides a vulnerability assessment method for estuarine coastal wetland ecology, including levee foundations; The construction process of the estuarine coastal wetland ecological coupling model includes: The ocean sub-model, wave sub-model and sediment transport sub-model are integrated to obtain a regional hydrodynamic model. The meteorological model, water quality and ecological model, regional hydrodynamic model, vegetation expansion model and wetland swamp model are combined through a coupler to construct an estuarine coastal wetland ecological coupling model. The regional hydrodynamic model is set as a TELEMAC open source model, and the meteorological model is set as a WRF open source model.

[0019] The vegetation expansion model uses a cellular automaton model to simulate the changes in spatial landscape patterns and the interaction between various types of species, and simplifies the complex ecosystem evolution process into neighborhood conversion rules. Due to the phenological characteristics and special environment of estuarine wetland vegetation, the dynamic evolution of vegetation communities has spatial and temporal variation patterns, and the expansion and extinction of vegetation are highly correlated with the surrounding landscape settings and the environment of settlements; the cellular automaton (CA) model is used to simulate the spatial expansion process of wetland vegetation, which can effectively simulate the changes in spatial landscape patterns and the interaction between various types of species, and simplify the complex ecosystem evolution process into neighborhood conversion rules.

[0020] The wetland marsh model uses the sea level impact marsh model to simulate the accumulation of sediment and organic matter in the marsh, the erosion of the beach by tides and storms, and the changes in wetland distribution caused by sea level rise.

[0021] The regional hydrodynamic model provides updated data on hydrodynamic processes for the vegetation expansion model and wetland swamp model, couples remote sensing data information, establishes an eco-geomorphological model coupled with remote sensing, realizes coupled simulation of changes in different eco-geomorphological processes, and explores the evolution trend of wetland vegetation.

[0022] The training process of the estuarine coastal wetland ecological coupling model includes: Obtain satellite cloud record data, vegetation cover record data, hydrological record data and sediment record data from the water area database and meteorological database; standardize the satellite cloud record data, vegetation cover record data, hydrological record data and sediment record data and use them as training samples; The training samples are used to train the estuarine coastal wetland ecological coupling model to obtain geomorphic deduction data. The training loss value is calculated based on the geomorphic deduction data and the real geomorphic data. The expression formula is: ; ; In the formula, Training loss value for the weather model; for water quality and ecological models; is the training loss value of the regional hydrodynamic model; is the training loss value of the vegetation expansion model; is the training loss value of the wetland swamp model; is the training error weight of the meteorological model; is the training error weight of the water quality and ecological models; is the training error weight of the regional hydrodynamic model; is the training error weight of the vegetation expansion model; is the training error weight of the wetland swamp model; is the training error weight of the i-th model; is the true value of the i-th model at the j-th observation point; is the predicted value of the i-th model at the j-th observation point; i is the model type, ; n is the total number of observation points; The parameters of the estuarine coastal wetland ecological coupling model are optimized according to the training loss value, and the iteration is repeated until the training loss value converges to output the trained estuarine coastal wetland ecological coupling model.

[0023] Obtain real-time vegetation coverage data and satellite cloud data through satellite monitoring; obtain real-time hydrological data and sediment data by monitoring the estuary coastal wetland ecology through survey equipment; Initialize the preset estuarine coastal wetland ecological coupling model based on real-time vegetation coverage data, satellite cloud data, hydrological data and sediment data; input water reclamation data and pollutant emission data into the estuarine coastal wetland ecological coupling model, and use the estuarine coastal wetland ecological coupling model to dynamically deduce the geomorphology to obtain the ecological geomorphological information at the set time, including: Obtain the time resolution supported by meteorological models, water quality and ecological models, regional hydrodynamic models, vegetation expansion models, and wetland swamp models; compare and screen various time resolutions to obtain the lowest time resolution, and set the time step of the estuarine coastal wetland ecological coupling model based on the lowest time resolution; The meteorological data are obtained by deducing the satellite cloud real-time data by the meteorological model, and the meteorological data include but are not limited to wind direction, temperature, air pressure, wind speed and precipitation; The ocean sub-model responds to the received meteorological data, configures the ocean sub-model using the meteorological data (such as precipitation and wind speed), and adjusts the ocean circulation and tidal simulation parameters; simulates the ocean circulation according to the precipitation and real-time hydrological data to output regional ocean current data; in this embodiment, the simulation can be performed by solving the Navier-Stokes equations.

[0024] According to the precipitation and real-time hydrological data, the ocean circulation and ocean tides are simulated to output regional tidal data. The expression formula is: ; In the formula, is the regional tidal height; is the mean sea level; is the number of tidal components; For the The amplitude of a tidal wave; for Angular frequency of the tidal amplitude; It is expressed as phase; For time.

[0025] The wave sub-model receives meteorological data, regional ocean current data, and regional tidal data, and simulates the waves according to the wind speed, regional ocean current data, and regional tidal data to output wave force and wave height; the expression formula is: ; ; In the formula, It is expressed as the wave height in the waters surrounding the wetland area; is the average wind speed; is the wind action time; g is the acceleration due to gravity; is the setting coefficient; is the wave force; is the density of water; is the drag wind coefficient; is the wave-facing area; is the ocean current speed; is the water velocity caused by waves. The regional ocean current data, regional tidal data, wave force and wave height constitute ocean state data; The sediment transport sub-model receives regional ocean current data, real-time vegetation coverage data, wave force and wave height, sets sediment anti-erosion parameters based on real-time vegetation coverage data, and simulates sediment erosion, suspension, deposition and transport processes based on sediment anti-erosion parameters, wave force and wave height to output sediment distribution data. The model explores the changes in hydrological and hydrodynamic processes in river basins and estuarine wetlands under different climate change scenarios and different sea level rise rates, and quantitatively analyzes the weights of different climate change driving factors.

[0026] The water quality and ecological model receives ocean status data, simulates the propagation process of ocean water pollution based on pollutant emission data, regional ocean current data and wave force, and outputs water quality status data; The vegetation expansion model receives meteorological data, water quality data, regional tidal data, wave force and wave height, simulates the growth, expansion and spatial distribution changes of wetland vegetation, and outputs vegetation coverage data; realizes coupled simulation of changes in different ecological and geomorphological processes, and explores the evolution trend of wetland vegetation; the precipitation in the meteorological data and the regional tidal data determine the water supply of the wetland, and the water quality data determines whether the environment is suitable for vegetation growth; the regional tidal data, wave force and wave height wash and beat the vegetation, thereby affecting the normal growth of vegetation.

[0027] The wetland swamp model receives water reclamation data, sediment distribution data, regional ocean current data, regional tide data and vegetation coverage data, simulates the wetland swamp distribution area and outputs wetland swamp coverage data. This process uses a digital elevation model (DEM) to analyze terrain characteristics, and extracts wetland DEM through multi-frequency InSAR technology and verifies its accuracy. The meteorological data, ocean status data, sediment distribution data, water quality status data, vegetation coverage data and wetland swamp coverage data constitute ecological geomorphological information.

[0028] In this embodiment, the wetland swamp model is set as the SLAMM model, which can effectively simulate the accumulation of sediments and organic matter in the swamp, the erosion of the beach by tides and storms, and the changes in the distribution of wetland vegetation habitats caused by sea level rise, and predict the changes in submerged aquatic vegetation. The SLAMM model also takes into account the limiting effect of dam facilities on the ability of wetland and coastline changes and the second-order effects caused by changes in the spatial relationship between coastal elements, which plays an important guiding role in the risk assessment and protection of wetlands.

[0029] The meteorological data, ocean status data, sediment distribution data, water quality status data, vegetation coverage data and wetland swamp coverage data are formatted and timestamped through the coupler; the meteorological model, water quality and ecological model, regional hydrodynamic model, vegetation expansion model and wetland swamp model are controlled to send and receive data at each single time step according to the timestamp.

[0030] The process of ecological vulnerability assessment based on ecological geomorphological information includes: ; ; In the formula, is the evaluation value of estuarine coastal wetland ecology, is the vegetation coverage; It is a water quality indicator; for sediment stability; It is the wetland swamp coverage; is the weight of vegetation coverage; is the weight of water quality index; is the weight of sediment stability; is the weight of wetland swamp coverage; is the ecological vulnerability influencing factor, including vegetation coverage, water quality index, sediment stability, and wetland coverage; k is the category of ecological vulnerability influencing factors, ; is the sensitivity coefficient of the kth ecological vulnerability influencing factor; is the environmental parameter value of the kth ecological vulnerability influencing factor; is the threshold of the kth ecological vulnerability influencing factor.

[0031] Establish a vulnerability index database that correlates spatial data with attribute data to achieve geospatial quantification of sea level rise rate, habitat elevation and sedimentation rate indicators. Perform spatial overlay calculations of indicator layers on the GIS platform to generate a comprehensive layer of multi-indicator attributes and obtain the vulnerability index of each evaluation unit. According to the vulnerability index level, output the spatial distribution map of the vulnerability level of coastal wetland ecosystems under different sea level rise scenarios and time scales, and conduct vulnerability assessment of estuarine coastal wetland ecosystems under the influence of sea level rise.

[0032] By setting up climate change and human activity scenarios at different scales, we quantitatively evaluate the changes in the hydrodynamic processes of estuarine wetlands and the changing processes of estuarine coastal wetland ecosystems, analyze the future evolution trends of estuarine wetlands, and provide auxiliary decision-making for the future management model of estuarine coastal wetland ecology. At the same time, we can analyze the impact on the habitat of inhabiting waterbirds based on vegetation coverage data and wetland swamp coverage data.

[0033] Example 2 This embodiment provides a model calculation system for vulnerability assessment of estuarine coastal wetland ecology. The vulnerability assessment system is used to execute the vulnerability assessment method described in Example 1. The vulnerability assessment system includes: The acquisition module is used to obtain real-time data on vegetation coverage and satellite cloud layer through satellite monitoring; and to obtain real-time hydrological data and sediment data by monitoring the ecology of estuarine coastal wetlands through survey equipment; The deduction module is used to initialize the preset estuarine coastal wetland ecological coupling model according to the real-time data of vegetation coverage, satellite cloud layer, hydrological data and sedimentation data; input the water reclamation data and pollutant emission data into the estuarine coastal wetland ecological coupling model, and the estuarine coastal wetland ecological coupling model is used to perform geomorphological dynamic deduction to obtain the ecological geomorphological information at the set time; An assessment module for ecological vulnerability assessment based on eco-geomorphological information; The model building module is used to integrate the ocean sub-model, wave sub-model and sediment transport sub-model to obtain the regional hydrodynamic model, and to combine the meteorological model, water quality and ecological model, regional hydrodynamic model, vegetation expansion model and wetland swamp model through the coupler to construct the estuarine coastal wetland ecological coupling model.

[0034] The deduction module inputs the water reclamation data and pollutant discharge data into the estuarine coastal wetland ecological coupling model, and the estuarine coastal wetland ecological coupling model performs geomorphological dynamic deduction to obtain ecological geomorphological information at a set time, including: The meteorological model is used to deduce the satellite cloud real-time data to obtain meteorological data, wherein the meteorological data includes wind speed and precipitation; The regional hydrodynamic model receives meteorological data, simulates regional hydrodynamics based on meteorological data and real-time hydrological data to obtain ocean state data and sediment distribution data; The water quality and ecological model receives the ocean status data, simulates the marine water pollution propagation process based on the pollutant emission data and the ocean status data, and outputs the water quality status data; The vegetation expansion model receives meteorological data, water quality data and ocean status data, simulates the growth, expansion and spatial distribution changes of wetland vegetation and outputs vegetation coverage data; The wetland swamp model receives water reclamation data, sediment distribution data, ocean status data and vegetation coverage data, simulates the wetland swamp distribution area and outputs wetland swamp coverage data. The meteorological data, ocean status data, sediment distribution data, water quality data, vegetation coverage data and wetland swamp coverage data constitute ecological geomorphological information.

[0035] This study explored the ecological evolution of estuarine coastal wetlands under the influence of different driving factors, revealed the driving mechanism of the ecological development and evolution of estuarine coastal wetlands, and simulated and predicted its evolution in the future.

[0036] Example 3 This embodiment provides an electronic device, including a storage medium and a processor; the storage medium is used to store instructions; the processor is used to operate according to the instructions to execute the vulnerability assessment method for estuarine coastal wetland ecology described in Example 1.

[0037] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present application may take the form of one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, etc.) containing computer-usable program code. M , optical storage, etc.).

[0038] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0039] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0040] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1A step that specifies a function in one or more boxes.

[0041] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the technical principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A vulnerability assessment method for estuarine coastal wetland ecology, characterized in that: include: Obtain real-time vegetation coverage data and satellite cloud data through satellite monitoring; obtain real-time hydrological data and sediment data by monitoring the estuary coastal wetland ecology through survey equipment; Initialize the preset estuarine coastal wetland ecological coupling model based on real-time vegetation coverage data, satellite cloud data, hydrological data and sediment data; input water reclamation data and pollutant emission data into the estuarine coastal wetland ecological coupling model, and use the estuarine coastal wetland ecological coupling model to perform geomorphological dynamic deduction to obtain ecological geomorphological information at the set time; Conduct ecological vulnerability assessment based on ecological and geomorphological information; The construction process of the estuarine coastal wetland ecological coupling model includes: The ocean sub-model, wave sub-model and sediment transport sub-model are integrated to obtain the regional hydrodynamic model. The meteorological model, water quality and ecological model, regional hydrodynamic model, vegetation expansion model and wetland swamp model are combined through the coupler to construct the estuarine coastal wetland ecological coupling model.

2. The vulnerability assessment method according to claim 1, characterized in that: The water reclamation data and pollutant discharge data are input into the estuarine coastal wetland ecological coupling model, and the estuarine coastal wetland ecological coupling model is used to perform geomorphological dynamics deduction to obtain ecological geomorphological information at a set time, including: The meteorological model is used to deduce the satellite cloud real-time data to obtain meteorological data, wherein the meteorological data includes wind speed and precipitation; The regional hydrodynamic model receives meteorological data, and simulates regional hydrodynamics based on meteorological data and real-time hydrological data to obtain ocean state data and sediment distribution data; The water quality and ecological model receives the ocean status data, simulates the propagation process of ocean water pollution based on the pollutant emission data and the ocean status data, and outputs the water quality status data; The vegetation expansion model receives meteorological data, water quality data and ocean status data, simulates the growth, expansion and spatial distribution changes of wetland vegetation and outputs vegetation coverage data; The wetland swamp model receives water reclamation data, sediment distribution data, ocean status data and vegetation coverage data, simulates the wetland swamp distribution area and outputs wetland swamp coverage data. The meteorological data, ocean status data, sediment distribution data, water quality data, vegetation coverage data and wetland swamp coverage data constitute ecological geomorphological information.

3. The vulnerability assessment method according to claim 2, characterized in that: The process of simulating regional hydrodynamics based on meteorological data and real-time hydrological data to obtain ocean state data and sediment distribution data includes: The ocean sub-model responds to the received meteorological data and simulates the ocean circulation and ocean tide according to the precipitation and hydrological real-time data to output the regional ocean current data and regional tide data; The wave sub-model receives meteorological data, regional ocean current data and regional tidal data, simulates the waves according to the wind speed, regional ocean current data and regional tidal data, and outputs wave force and wave height; the regional ocean current data, regional tidal data, wave force and wave height constitute the ocean state data; The sediment transport sub-model receives regional ocean current data, real-time vegetation coverage data, wave force and wave height, sets sediment anti-erosion parameters according to the real-time vegetation coverage data, and simulates the sediment erosion, suspension, deposition and transport processes according to the sediment anti-erosion parameters, wave force and wave height to output sediment distribution data.

4. The vulnerability assessment method according to claim 1, characterized in that: Also includes: Obtain the temporal resolution supported by meteorological models, water quality and ecological models, regional hydrodynamic models, vegetation expansion models, and wetland marsh models; Compare and screen various time resolutions to obtain the lowest time resolution, and set the time step of the estuarine coastal wetland ecological coupling model according to the lowest time resolution; The weather data, ocean state data, sediment distribution data, water quality data, vegetation cover data and wetland swamp cover data are converted into different formats and timestamped through the coupler; The meteorological model, water quality and ecological model, regional hydrodynamic model, vegetation expansion model and wetland swamp model are controlled to send and receive data at each single time step according to the timestamp.

5. The vulnerability assessment method according to claim 1, characterized in that: The training process of the estuarine coastal wetland ecological coupling model includes: Obtain satellite cloud record data, vegetation cover record data, hydrological record data and sediment record data from the water area database and meteorological database; standardize the satellite cloud record data, vegetation cover record data, hydrological record data and sediment record data and use them as training samples; The training samples are used to train the estuarine coastal wetland ecological coupling model to obtain geomorphic deduction data. The training loss value is calculated based on the geomorphic deduction data and the real geomorphic data. The expression formula is: ； ； In the formula, L represents the training loss value of the estuarine coastal wetland ecological coupling model. Training loss value for the weather model; for water quality and ecological models; is the training loss value of the regional hydrodynamic model; is the training loss value of the vegetation expansion model; is the training loss value of the wetland swamp model; is the training error weight of the meteorological model; is the training error weight of the water quality and ecological models; is the training error weight of the regional hydrodynamic model; is the training error weight of the vegetation expansion model; is the training error weight of the wetland swamp model; is the training error weight of the i-th model; is the true value of the i-th model at the j-th observation point; is the predicted value of the i-th model at the j-th observation point; i is the model type, ; n is the total number of observation points; The parameters of the estuarine coastal wetland ecological coupling model are optimized according to the training loss value, and the iteration is repeated until the training loss value converges to output the trained estuarine coastal wetland ecological coupling model.

6. The vulnerability assessment method according to claim 3, characterized in that: The process of ecological vulnerability assessment based on ecological geomorphological information includes: ； ； In the formula, is the evaluation value of estuarine coastal wetland ecology, is the vegetation coverage; It is a water quality indicator; for sediment stability; It is the wetland swamp coverage; is the weight of vegetation coverage; is the weight of water quality index; is the weight of sediment stability; is the weight of wetland swamp coverage; is the ecological vulnerability influencing factor, including vegetation coverage, water quality index, sediment stability, and wetland coverage; k is the category of ecological vulnerability influencing factors, ; is the sensitivity coefficient of the kth ecological vulnerability influencing factor; is the environmental parameter value of the kth ecological vulnerability influencing factor; is the threshold of the kth ecological vulnerability influencing factor.

7. The vulnerability assessment method according to claim 1, characterized in that: The regional hydrodynamic model is set to the TELEMAC open source model, and the meteorological model is set to the WRF open source model.

8. A vulnerability assessment system for estuarine coastal wetland ecology, characterized in that: include: The acquisition module is used to obtain real-time data on vegetation coverage and satellite cloud layer through satellite monitoring; and to obtain real-time hydrological data and sediment data by monitoring the ecology of estuarine coastal wetlands through survey equipment; The deduction module is used to initialize the preset estuarine coastal wetland ecological coupling model according to the real-time data of vegetation coverage, satellite cloud layer, hydrological data and sedimentation data; input the water reclamation data and pollutant emission data into the estuarine coastal wetland ecological coupling model, and the estuarine coastal wetland ecological coupling model is used to perform geomorphological dynamic deduction to obtain the ecological geomorphological information at the set time; An assessment module for ecological vulnerability assessment based on eco-geomorphological information; The model building module is used to integrate the ocean sub-model, wave sub-model and sediment transport sub-model to obtain the regional hydrodynamic model, and to combine the meteorological model, water quality and ecological model, regional hydrodynamic model, vegetation expansion model and wetland swamp model through the coupler to construct the estuarine coastal wetland ecological coupling model.

9. The vulnerability assessment system according to claim 8, characterized in that: The deduction module inputs the water reclamation data and pollutant discharge data into the estuarine coastal wetland ecological coupling model, and the estuarine coastal wetland ecological coupling model performs geomorphological dynamic deduction to obtain ecological geomorphological information at a set time, including: The meteorological model is used to deduce the satellite cloud real-time data to obtain meteorological data, wherein the meteorological data includes wind speed and precipitation; The regional hydrodynamic model receives meteorological data, and simulates regional hydrodynamics based on meteorological data and real-time hydrological data to obtain ocean state data and sediment distribution data; The water quality and ecological model receives the ocean status data, simulates the propagation process of ocean water pollution based on the pollutant emission data and the ocean status data, and outputs the water quality status data; The vegetation expansion model receives meteorological data, water quality data and ocean status data, simulates the growth, expansion and spatial distribution changes of wetland vegetation and outputs vegetation coverage data; The wetland swamp model receives water reclamation data, sediment distribution data, ocean status data and vegetation coverage data, simulates the wetland swamp distribution area and outputs wetland swamp coverage data. The meteorological data, ocean status data, sediment distribution data, water quality data, vegetation coverage data and wetland swamp coverage data constitute ecological geomorphological information.

10. An electronic device comprising a storage medium and a processor; the storage medium is used to store instructions; characterized in that: The processor is used to operate according to the instructions to execute the vulnerability assessment method of estuarine coastal wetland ecology as described in any one of claims 1 to 7.

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