Method and device for obtaining water dynamics of estuary area and computer equipment

Abstract

The present application relates to the field of remote sensing monitoring, and particularly relates to a method and device for obtaining water dynamics of an estuary area and a computer device, wherein the water dynamics intensity coefficient is calculated based on the suspended sediment concentration simulation data of the section interval area constructed according to the suspended sediment concentration inversion data of the upstream section and the downstream section and the suspended sediment concentration inversion data output by the suspended sediment concentration inversion model, the water dynamics target data of the section interval area is obtained by performing water dynamics optimization calculation based on the water dynamics simulation data of the section interval area constructed according to the water dynamics measured data of the upstream section and the downstream section, and the accuracy and efficiency of water dynamics analysis and calculation are improved.

Description

Technical Field

[0001] This invention relates to the field of remote sensing monitoring, and in particular to a method, apparatus, computer equipment, and storage medium for acquiring hydrodynamic data in river estuaries. Background Technology

[0002] Typical simulations of material diffusion in river estuaries require the integration of hydrological and hydrodynamic models. However, due to the complex and variable water quality and environment in estuaries, and the significant spatial and temporal differences in data, constructing hydrological and hydrodynamic models for river estuaries necessitates specialized background knowledge and complex model parameters. Therefore, it is difficult for non-professionals to simulate the hydrodynamic intensity of river estuaries, resulting in unstable and inaccurate hydrodynamic simulation data. Summary of the Invention

[0003] Based on this, the purpose of this invention is to provide a method, apparatus, computer equipment, and storage medium for acquiring hydrodynamic data in estuary areas. The method involves calculating hydrodynamic intensity coefficients based on simulated suspended sediment concentration data of a cross-sectional area constructed from suspended sediment concentration inversion data of upstream and downstream sections, and suspended sediment concentration inversion data output from a suspended sediment concentration inversion model. This yields hydrodynamic intensity coefficients. Furthermore, hydrodynamic optimization calculations are performed by combining simulated hydrodynamic data of the cross-sectional area constructed from measured hydrodynamic data of upstream and downstream sections, thereby obtaining target hydrodynamic data for the cross-sectional area. This improves the accuracy and efficiency of hydrodynamic analysis and calculation.

[0004] In a first aspect, embodiments of this application provide a method for obtaining hydrodynamic data in a river estuary area, comprising the following steps:

[0005] Spectral data of the estuary region is obtained, wherein the estuary region includes the upstream section, the downstream section, and the section interval region;

[0006] The spectral data of the estuary area is input into a preset suspended sediment concentration inversion model to obtain suspended sediment concentration inversion data of the upstream section, downstream section, and section interval of the estuary area.

[0007] Based on the suspended sediment concentration inversion data of the upstream and downstream sections, the suspended sediment concentration of the section interval region is simulated to obtain the suspended sediment concentration simulation data of the section interval region.

[0008] Based on the simulated data of suspended sediment concentration and the inversion data of suspended sediment concentration in the cross-sectional area, the hydrodynamic intensity coefficient is calculated to obtain the hydrodynamic intensity coefficient data.

[0009] Obtain measured hydrodynamic data of the upstream and downstream sections; perform hydrodynamic simulation of the section area based on the measured hydrodynamic data of the upstream and downstream sections, and obtain hydrodynamic simulation data of the section area.

[0010] Based on the hydrodynamic simulation data and hydrodynamic intensity coefficient data of the cross-sectional area, the hydrodynamic target data of the cross-sectional area are obtained.

[0011] Secondly, embodiments of this application provide a hydrodynamic acquisition device for a river estuary area, comprising:

[0012] The data acquisition module is used to acquire spectral data of the estuary region, wherein the estuary region includes the upstream section, the downstream section, and the section interval region.

[0013] The suspended sediment concentration inversion module is used to input the spectral data of the estuary area into the preset suspended sediment concentration inversion model to obtain the suspended sediment concentration inversion data of the upstream section, downstream section and section interval area of ​​the estuary area.

[0014] The suspended sediment concentration simulation module is used to simulate the suspended sediment concentration in the cross-sectional area based on the suspended sediment concentration inversion data of the upstream and downstream cross-sections, and obtain the suspended sediment concentration simulation data of the cross-sectional area.

[0015] The hydrodynamic intensity coefficient calculation module is used to calculate the hydrodynamic intensity coefficient based on the simulated data of suspended sediment concentration and the inversion data of suspended sediment concentration in the cross section area, and to obtain the hydrodynamic intensity coefficient data.

[0016] The hydrodynamic simulation module is used to obtain measured hydrodynamic data of the upstream and downstream sections; and to perform hydrodynamic simulation of the section interval region based on the measured hydrodynamic data of the upstream and downstream sections to obtain hydrodynamic simulation data of the section interval region.

[0017] The hydrodynamic calculation module is used to obtain the target hydrodynamic data of the cross-sectional area based on the hydrodynamic simulation data and hydrodynamic intensity coefficient data of the cross-sectional area.

[0018] Thirdly, embodiments of this application provide a computer device, including: a processor, a memory, and a computer program stored in the memory and executable on the processor; when the computer program is executed by the processor, it implements the steps of the hydrodynamic acquisition method for the estuary area as described in the first aspect.

[0019] Fourthly, embodiments of this application provide a storage medium storing a computer program that, when executed by a processor, implements the steps of the hydrodynamic acquisition method for estuary areas as described in the first aspect.

[0020] In this application embodiment, a method, apparatus, computer equipment, and storage medium for acquiring hydrodynamic data in a river estuary area are provided. The method calculates the hydrodynamic intensity coefficient based on simulated suspended sediment concentration data of a cross-sectional area constructed from suspended sediment concentration inversion data of upstream and downstream sections, and the suspended sediment concentration inversion data output from the suspended sediment concentration inversion model. This yields the hydrodynamic intensity coefficient. Furthermore, hydrodynamic optimization calculations are performed by combining the simulated hydrodynamic data of the cross-sectional area constructed from measured hydrodynamic data of upstream and downstream sections, thereby obtaining the target hydrodynamic data for the cross-sectional area. This improves the accuracy and efficiency of hydrodynamic analysis and calculation.

[0021] To better understand and implement this invention, the following detailed description is provided in conjunction with the accompanying drawings. Attached Figure Description

[0022] Figure 1 A flowchart illustrating a method for obtaining hydrodynamic data in a river estuary region according to an embodiment of this application;

[0023] Figure 2 A flowchart illustrating step S7 of a method for obtaining hydrodynamic data in a river estuary region, provided in another embodiment of this application;

[0024] Figure 3 This is a flowchart illustrating step S3 of a method for obtaining hydrodynamic data in a river estuary region according to an embodiment of this application.

[0025] Figure 4 A flowchart illustrating step S3 of a method for obtaining hydrodynamic data in a river estuary region, provided in yet another embodiment of this application;

[0026] Figure 5 This is a flowchart illustrating step S4 of a method for obtaining hydrodynamic data in a river estuary area according to an embodiment of this application.

[0027] Figure 6 This is a flowchart illustrating step S5 of a method for obtaining hydrodynamic data in a river estuary area according to an embodiment of this application.

[0028] Figure 7 This is a flowchart illustrating step S6 of a method for obtaining hydrodynamic data in a river estuary area according to an embodiment of this application.

[0029] Figure 8 A schematic diagram of the structure of a hydrodynamic acquisition device for a river estuary area provided in one embodiment of this application;

[0030] Figure 9 This is a schematic diagram of the structure of a computer device provided in one embodiment of this application. Detailed Implementation

[0031] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numbers in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.

[0032] The terminology used in this application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. The singular forms “a,” “the,” and “the” used in this application and the appended claims are also intended to include the plural forms unless the context clearly indicates otherwise. It should also be understood that the term “and / or” as used herein refers to and includes any or all possible combinations of one or more of the associated listed items.

[0033] It should be understood that although the terms first, second, third, etc., may be used in this application to describe various information, such information should not be limited to these terms. These terms are only used to distinguish information of the same type from one another. For example, without departing from the scope of this application, first information may also be referred to as second information, and similarly, second information may also be referred to as first information. Depending on the context, the word "if" as used herein may be interpreted as "when," "when," or "in response to determination."

[0034] The data sending end can be a computer device or a mobile terminal device, used to establish a network connection with the data receiving end, and is capable of encoding the data information sent to the data receiving end and parsing the data information sent from the data receiving end.

[0035] The data receiving end can be a computer device or a mobile terminal device, used to establish a network connection with the data sending end, and is capable of encoding the data information sent to the data sending end and parsing the data information sent from the data sending end.

[0036] Please see Figure 1 , Figure 1 A flowchart illustrating a method for obtaining hydrodynamic data in a river estuary region according to an embodiment of this application is shown. The method includes the following steps:

[0037] S1: Obtain spectral data of the estuary region.

[0038] The implementing entity of the hydrodynamic acquisition method for river estuaries in this application is the acquisition device for hydrodynamic acquisition in river estuaries (hereinafter referred to as the acquisition device). In an optional embodiment, the acquisition device may be a computer device, a server, or a server cluster composed of multiple computer devices.

[0039] In this embodiment, the acquisition device obtains spectral data of the estuary region, wherein the estuary region includes an upstream section, a downstream section, and a section interval region. The upstream section is a section set in the upstream area of ​​the estuary region, and the downstream section is a section set in the coastal area of ​​the estuary region.

[0040] Specifically, the acquisition device obtains remote sensing images of the estuary area, which are multispectral remote sensing images acquired by satellite during three water periods (high water period, low water period, and normal water period). The acquisition device preprocesses the remote sensing images, including remote sensing image stitching, atmospheric correction, radiometric calibration, radiometric correction, and geometric correction, to obtain a preprocessed remote sensing image. Spectral extraction is then performed on the preprocessed remote sensing image to obtain spectral data of the estuary area. The spectral data includes reflectance in several bands, including red, green, blue, and near-infrared bands.

[0041] S2: Input the spectral data of the estuary area into the preset suspended sediment concentration inversion model to obtain the suspended sediment concentration inversion data of the upstream section, downstream section and section interval area of ​​the estuary area.

[0042] In this embodiment, the acquisition device inputs the spectral data of the estuary area into a preset suspended sediment concentration inversion model to obtain suspended sediment concentration inversion data of the upstream section, downstream section, and section interval of the estuary area. The suspended sediment concentration inversion data includes suspended sediment concentration inversion values ​​of pixels with several location indices.

[0043] Specifically, the suspended sediment concentration inversion data of the upstream section includes to The suspended sediment concentration inversion values ​​of pixels at several indexed locations in the lateral direction, the suspended sediment concentration inversion data of the downstream section includes to The suspended sediment concentration inversion values ​​of pixels at several indexed locations in the lateral direction, the suspended sediment concentration inversion data of the cross-sectional area include to The suspended sediment concentration inversion values ​​of several location indexed pixels, where n and m are the number of columns and rows of pixels in the cross-sectional area, n represents the number of pixels in the horizontal direction, and m represents the number of pixels in the vertical direction.

[0044] In an optional embodiment, step S7 is further included: training the suspended sediment concentration inversion model. (See [link to previous document]). Figure 2 , Figure 2 A flowchart illustrating step S7 of a method for obtaining hydrodynamic data in a river estuary region according to another embodiment of this application is provided, including steps S71 to S73, as follows:

[0045] S71: Obtain temporal remote sensing image data of the sample area.

[0046] In this embodiment, the acquisition device obtains time-series remote sensing image data of the sample area, wherein the time-series remote sensing image data includes remote sensing images at several time points. Specifically, the acquisition device uses a multispectral UAV or a hyperspectral instrument to acquire remote sensing data of the sample area during several water periods, obtaining several remote sensing images of the high-water period, low-water period, and normal-water period, which are used as remote sensing images at several time points as training data for the model, thereby improving the applicability of the model training.

[0047] S72: Obtain spectral data and suspended sediment concentration data of several preset sampling points in several remote sensing images; combine the spectral data and suspended sediment concentration data corresponding to the same sampling point to obtain training data sets corresponding to several sampling points of several remote sensing images.

[0048] In this embodiment, the acquisition device obtains spectral extraction and suspended sediment concentration sampling of several preset sampling points in several remote sensing images based on several preset sampling points, thereby obtaining spectral data and suspended sediment concentration data of several preset sampling points in several remote sensing images.

[0049] Specifically, the acquisition device can acquire the coordinate data of each sampling point in the remote sensing image of the sample area. Using the coordinate data of each sampling point as the center, and according to a preset radius, the sampling area corresponding to each sampling point is acquired. The spectral data and suspended sediment concentration data corresponding to each pixel in the sampling area corresponding to each sampling point are acquired. The spectral data and suspended sediment concentration data are averaged respectively to acquire the average spectral data and suspended sediment concentration data corresponding to the sampling area corresponding to each sampling point, which are used as the spectral data and suspended sediment concentration data corresponding to each sampling point in the remote sensing image of the sample area.

[0050] The acquisition device combines the spectral data and suspended sediment concentration data corresponding to the same sampling point to obtain training data sets corresponding to several sampling points of several remote sensing images.

[0051] S73: Using the spectral data as the independent variable and the suspended sediment concentration data as the dependent variable, a random forest neural network model is constructed. The training data sets corresponding to several sampling points of several remote sensing images are input into the random forest neural network model for training to obtain the suspended sediment concentration inversion model.

[0052] In this embodiment, the spectral data obtained from the device is used as the independent variable, and the suspended sediment concentration data is used as the dependent variable. A random forest neural network model is constructed, and the training data sets corresponding to several sampling points of several remote sensing images are input into the random forest neural network model for training to obtain the suspended sediment concentration inversion model.

[0053] The random forest neural network model is a classifier containing multiple decision trees, and its output category is determined by the mode of the categories output by individual trees. Specifically, since the spectral data includes reflectance of several bands, the acquisition device sets a feature variable dataset corresponding to the spectral data of the sampling point, wherein the feature variable dataset includes feature variables, and the feature variables include feature variables corresponding to reflectance of several bands.

[0054] The acquisition device, based on the training data set corresponding to the plurality of sampling points, randomly selects several n samples with replacement from the feature variable dataset corresponding to the spectral data of the sampling points. For each of the n samples, m feature variables are randomly selected to generate a decision tree model corresponding to that sample. For each decision tree model, a feature variable is randomly selected as a node from the m feature variables and splitting is performed. Splitting stops when the Gini coefficient is minimized. A random forest neural network model is constructed. The training data set corresponding to the plurality of sampling points of the plurality of remote sensing images is input into the random forest neural network model for training to obtain the suspended sediment concentration inversion model.

[0055] S3: Based on the suspended sediment concentration inversion data of the upstream and downstream sections, simulate the suspended sediment concentration in the section interval region to obtain the simulated suspended sediment concentration data of the section interval region.

[0056] In this embodiment, the acquisition device simulates the suspended sediment concentration in the cross-sectional area based on the suspended sediment concentration inversion data of the upstream and downstream cross-sections, and obtains the suspended sediment concentration simulation data of the cross-sectional area. The suspended sediment concentration simulation data includes the suspended sediment concentration simulation values ​​of pixels with several location indices.

[0057] Please see Figure 3 , Figure 3 The flowchart of step S3 in the method for obtaining hydrodynamic data in a river estuary area according to an embodiment of this application is shown below, including step S31:

[0058] S31: Based on the suspended sediment concentration inversion values ​​of pixels at the same location index in the upstream and downstream sections, a spatial interpolation method is used to simulate the suspended sediment concentration of pixels at several location indexes in the section interval region, thereby obtaining simulated suspended sediment concentration values ​​of pixels at several location indexes in the section interval region, and constructing simulated suspended sediment concentration data for the section interval region.

[0059] In this embodiment, the acquisition device retrieves the suspended sediment concentration inversion value of the pixels at the same location index in the upstream and downstream sections, and uses a spatial interpolation method to simulate the suspended sediment concentration of pixels at several location indexes in the section interval region, thereby obtaining the simulated suspended sediment concentration values ​​of pixels at several location indexes in the section interval region, and constructing the simulated suspended sediment concentration data of the section interval region.

[0060] Specifically, theoretically, in the absence of external input, the concentration of suspended sediment will decrease from the river estuary towards the ocean, that is, from the upstream section to the downstream section. The acquisition device obtains the suspended sediment concentration decrease values ​​for several location indices in the lateral direction of the cross-sectional area based on the suspended sediment concentration inversion values ​​of pixels at the same location index in the upstream and downstream sections, and a preset suspended sediment concentration decrease value calculation algorithm. The suspended sediment concentration decrease value calculation algorithm is as follows:

[0061]

[0062] In the formula, j represents the pixel index of the j-th position in the lateral direction of the cross-sectional area. This represents the decrease in suspended sediment concentration of the pixel indexed at the j-th location in the lateral direction of the cross-sectional area. The simulated value of suspended sediment concentration for the pixel indexed at the j-th location in the lateral direction of the downstream section. is the simulated value of suspended sediment concentration for the pixel indexed at the j-th position in the transverse direction of the upstream section, and m is the number of rows in the longitudinal direction between the upstream and downstream sections.

[0063] The acquisition device obtains the simulated suspended sediment concentration values ​​of pixels at several location indices in the transverse direction of the cross-sectional area based on the suspended sediment concentration decrease values ​​of pixels at corresponding location indices in the upstream cross-section, and a suspended sediment concentration simulation value calculation algorithm. The suspended sediment concentration simulation value calculation algorithm is as follows:

[0064]

[0065] In the formula, The simulated value of suspended sediment concentration for the pixel indexed at position (i, j) in the cross-sectional area, where i represents the pixel indexed at position i in the longitudinal direction of the cross-sectional area.

[0066] Please see Figure 4 , Figure 4 The flowchart of step S3 in the method for obtaining hydrodynamic data in a river estuary area provided in another embodiment of this application also includes steps S32 to S33, which are performed before step S31 as follows:

[0067] S32: Based on the pixels of several location indices in the suspended sediment concentration inversion data of the upstream and downstream sections, determine the target section with fewer pixels and obtain the missing location index of the target section.

[0068] Since the total length of the upstream and downstream sections, i.e. the number of pixels in the upstream and downstream sections, is not the same in the actual estuary area, in order to improve the accuracy of the suspended sediment concentration simulation, in this embodiment, the acquisition device determines the target section with fewer pixels based on the pixels of several location indices in the suspended sediment concentration inversion data of the upstream and downstream sections, and obtains the missing location index of the target section.

[0069] S33: The suspended sediment concentration inversion values ​​of several location indices in the suspended sediment concentration inversion data of the target section are averaged to obtain the average suspended sediment concentration inversion value of the target section. Based on the average suspended sediment concentration inversion value of the target section and the missing location indices, the suspended sediment concentration inversion values ​​of the pixels of the missing location indices are supplemented.

[0070] In this embodiment, the acquisition device performs average processing on the suspended sediment concentration inversion values ​​of pixels at several location indices in the suspended sediment concentration inversion data of the target section to obtain the average suspended sediment concentration inversion value of the target section.

[0071] The acquisition device supplements the suspended sediment concentration inversion values ​​of the pixels at the missing location indexes based on the average suspended sediment concentration inversion value of the target cross section and the missing location indexes, so that the number of pixels in the upstream and downstream cross sections is consistent. Each location index pixel is set with the suspended sediment concentration inversion values ​​corresponding to the upstream and downstream cross sections, which are used to simulate the suspended sediment concentration and improve the accuracy of the suspended sediment concentration simulation.

[0072] S4: Calculate the hydrodynamic intensity coefficient based on the simulated data of suspended sediment concentration and the inversion data of suspended sediment concentration in the cross-sectional area to obtain the hydrodynamic intensity coefficient data.

[0073] The hydrodynamic strength coefficient is an important indicator for assessing the stability and safety of marine structures or floating bodies under environmental loads such as waves and currents.

[0074] Because the decrease in suspended sediment concentration varies across different hydrodynamic conditions, the intensity of hydrodynamic forces in a given area can be determined. Areas with suspended sediment concentrations higher than the theoretical decrease value indicate stronger hydrodynamic forces; conversely, areas with suspended sediment concentrations lower than the theoretical decrease value indicate that suspended sediment is primarily deposited, resulting in relatively weaker hydrodynamic forces. In this embodiment, the acquisition device calculates the hydrodynamic intensity coefficient based on simulated and inverted suspended sediment concentration data for the cross-sectional area, obtaining hydrodynamic intensity coefficient data. This data includes hydrodynamic intensity coefficients for pixels with several location indices.

[0075] Please see Figure 5 , Figure 5 The flowchart of step S4 in the hydrodynamic acquisition method for a river estuary area provided in one embodiment of this application includes steps S41 to S42, as follows:

[0076] S41: Based on the simulated data of suspended sediment concentration in the cross-sectional area and the inverted data of suspended sediment concentration, the inverted value of suspended sediment concentration of the same location index cell is subtracted from the simulated value of suspended sediment concentration to obtain the suspended sediment concentration difference of several location index cells in the cross-sectional area.

[0077] In this embodiment, the acquisition device, based on the simulated suspended sediment concentration data and the inverted suspended sediment concentration data of the cross-sectional area, subtracts the inverted suspended sediment concentration value of the pixel at the same location index from the simulated suspended sediment concentration value to obtain the suspended sediment concentration difference of pixels at several location indices in the cross-sectional area. This constructs cross-sectional area suspended sediment concentration difference data to reflect the difference between the inversion calculation result and the theoretical calculation result. The suspended sediment concentration difference is:

[0078]

[0079] In the formula, The suspended sediment concentration difference is the value of the pixel indexed at position (i, j) in the cross-sectional region. The inversion value of suspended sediment concentration for the pixel indexed at position (i, j) in the cross-sectional region.

[0080] S42: Normalize the suspended sediment concentration difference of the pixels at several location indices in the cross-sectional area to obtain the hydrodynamic intensity coefficient of the pixels at several location indices in the cross-sectional area, and construct the hydrodynamic intensity coefficient data.

[0081] In this embodiment, the acquisition device normalizes the suspended sediment concentration differences of pixels at several location indices in the cross-sectional area to obtain the normalized suspended sediment concentration differences of pixels at several location indices in the cross-sectional area, which are used as the hydrodynamic intensity coefficient to construct the hydrodynamic intensity coefficient data, as follows:

[0082]

[0083] In the formula, The normalized difference in suspended sediment concentration is the pixel indexed at position (i, j) within the cross-sectional region. This data represents the difference in suspended sediment concentration across the cross-sectional area. To maximize the function, This is the function for taking the absolute value.

[0084] S5: Obtain measured hydrodynamic data of the upstream and downstream sections; perform hydrodynamic simulation of the section area based on the measured hydrodynamic data of the upstream and downstream sections, and obtain hydrodynamic simulation data of the section area.

[0085] In this embodiment, the acquisition device obtains hydrodynamic measurement data of the upstream and downstream sections, wherein the hydrodynamic measurement data includes hydrodynamic measurement values ​​of pixels with several location indices.

[0086] The acquisition device performs hydrodynamic simulation of the cross-sectional area based on the measured hydrodynamic data of the upstream and downstream cross-sections, and obtains hydrodynamic simulation data of the cross-sectional area, wherein the hydrodynamic simulation data includes hydrodynamic simulation values ​​of pixels with several location indices.

[0087] Please see Figure 6 , Figure 6The flowchart of step S5 in the method for obtaining hydrodynamic data in a river estuary area according to an embodiment of this application is shown below, including step S51:

[0088] S51: Based on the measured hydrodynamic values ​​of pixels at the same location index in the upstream and downstream sections, a spatial interpolation method is used to simulate the hydrodynamics of pixels at several location indexes in the section interval region, thereby obtaining the simulated hydrodynamic values ​​of pixels at several location indexes in the section interval region and constructing the simulated hydrodynamic data of the section interval region.

[0089] In this embodiment, the acquisition device uses spatial interpolation to simulate the hydrodynamics of several location indexes of pixels in the cross-sectional area based on the measured hydrodynamic values ​​of pixels at the same location index in the upstream and downstream cross-sections. This simulates the hydrodynamic values ​​of pixels at several location indexes in the cross-sectional area and constructs the hydrodynamic simulation data of the cross-sectional area. For a specific embodiment, please refer to step S31, which will not be repeated here.

[0090] S6: Based on the hydrodynamic simulation data and hydrodynamic intensity coefficient data of the cross-sectional area, obtain the hydrodynamic target data of the cross-sectional area.

[0091] In this embodiment, the acquisition device optimizes the hydrodynamic simulation data and hydrodynamic intensity coefficient data of the cross-sectional area to obtain the hydrodynamic target data of the cross-sectional area. The hydrodynamic simulation data includes the hydrodynamic target values ​​of pixels with several location indices.

[0092] Please see Figure 7 , Figure 7 The flowchart of step S6 in the method for obtaining hydrodynamic data in a river estuary area according to an embodiment of this application is shown below, including step S61:

[0093] S61: Based on the hydrodynamic simulation data and hydrodynamic intensity coefficient data of the cross-sectional area, the hydrodynamic simulation value of the pixel with the same location index is multiplied by the hydrodynamic intensity coefficient to obtain the product result of several location indexes. The hydrodynamic simulation value of the pixel with the same location index is added to the product result to obtain the hydrodynamic target value of several location indexes, and the hydrodynamic target data of the cross-sectional area is constructed.

[0094] In this embodiment, the acquisition device multiplies the hydrodynamic simulation value of a pixel with the same location index and the hydrodynamic intensity coefficient data based on the hydrodynamic simulation data and hydrodynamic intensity coefficient data of the cross-sectional area, to obtain the product result of several pixels with the same location index. The hydrodynamic simulation value of the pixel with the same location index is added to the product result to obtain the hydrodynamic target value of several pixels with the same location index, thus constructing the hydrodynamic target data of the cross-sectional area.

[0095] The equipment calculates the hydrodynamic intensity coefficient based on the simulated suspended sediment concentration data of the cross-sectional area constructed from the suspended sediment concentration inversion data of the upstream and downstream sections, as well as the suspended sediment concentration inversion data output from the suspended sediment concentration inversion model. The hydrodynamic intensity coefficient is obtained by combining the simulated hydrodynamic data of the cross-sectional area constructed from the measured hydrodynamic data of the upstream and downstream sections, and the hydrodynamic optimization calculation is performed to obtain the target hydrodynamic data of the cross-sectional area, thereby improving the accuracy and efficiency of hydrodynamic analysis and calculation.

[0096] Please refer to Figure 8 , Figure 8 This is a schematic diagram of a hydrodynamic acquisition device for a river estuary area provided in one embodiment of this application. The device can be implemented entirely or partially through software, hardware, or a combination of both. The device 8 includes:

[0097] The data acquisition module 81 is used to acquire spectral data of the estuary region, wherein the estuary region includes the upstream section, the downstream section, and the section interval region.

[0098] The suspended sediment concentration inversion module 82 is used to input the spectral data of the estuary area into the preset suspended sediment concentration inversion model to obtain the suspended sediment concentration inversion data of the upstream section, downstream section and section interval area of ​​the estuary area.

[0099] The suspended sediment concentration simulation module 83 is used to simulate the suspended sediment concentration in the cross-sectional area based on the suspended sediment concentration inversion data of the upstream and downstream cross-sections, and obtain the suspended sediment concentration simulation data of the cross-sectional area.

[0100] The hydrodynamic intensity coefficient calculation module 84 is used to calculate the hydrodynamic intensity coefficient based on the simulated data of suspended sediment concentration in the cross section area and the inversion data of suspended sediment concentration, and to obtain the hydrodynamic intensity coefficient data.

[0101] The hydrodynamic simulation module 85 is used to obtain measured hydrodynamic data of the upstream and downstream sections; and to perform hydrodynamic simulation of the section interval region based on the measured hydrodynamic data of the upstream and downstream sections to obtain hydrodynamic simulation data of the section interval region.

[0102] The hydrodynamic calculation module 86 is used to obtain the hydrodynamic target data of the cross-sectional area based on the hydrodynamic simulation data and hydrodynamic intensity coefficient data of the cross-sectional area.

[0103] In this embodiment, a data acquisition module obtains spectral data of the estuary region, which includes an upstream section, a downstream section, and a section interval. A suspended sediment concentration inversion module inputs the spectral data of the estuary region into a preset suspended sediment concentration inversion model to obtain suspended sediment concentration inversion data for the upstream section, downstream section, and section interval. A suspended sediment concentration simulation module simulates the suspended sediment concentration in the section interval based on the suspended sediment concentration inversion data from the upstream and downstream sections to obtain the simulated suspended sediment concentration in the section interval. The data includes: 1) Using a hydrodynamic intensity coefficient calculation module, the hydrodynamic intensity coefficient is calculated based on simulated and inverted suspended sediment concentration data for the cross-sectional area, yielding hydrodynamic intensity coefficient data; 2) Using a hydrodynamic simulation module, measured hydrodynamic data for the upstream and downstream cross-sections are obtained; 3) Using a hydrodynamic calculation module, target hydrodynamic data for the cross-sectional area is obtained based on the measured hydrodynamic data for the upstream and downstream cross-sections; 4) Using a hydrodynamic simulation module, target hydrodynamic data for the cross-sectional area is obtained based on the simulated hydrodynamic data and the hydrodynamic intensity coefficient data for the cross-sectional area. Based on the simulated suspended sediment concentration data of the cross-sectional area constructed from the suspended sediment concentration inversion data of the upstream and downstream sections, and the suspended sediment concentration inversion data output by the suspended sediment concentration inversion model, the hydrodynamic intensity coefficient is calculated to obtain the hydrodynamic intensity coefficient. Combined with the hydrodynamic simulation data of the cross-sectional area constructed from the measured hydrodynamic data of the upstream and downstream sections, the hydrodynamic optimization calculation is performed to obtain the hydrodynamic target data of the cross-sectional area, thereby improving the accuracy and efficiency of hydrodynamic analysis and calculation.

[0104] Please refer to Figure 9 , Figure 9 This is a schematic diagram of the structure of a computer device provided in one embodiment of this application. The computer device 9 includes: a processor 91, a memory 92, and a computer program 93 stored in the memory 92 and executable on the processor 91; the computer device can store multiple instructions, which are adapted to be loaded and executed by the processor 91. Figures 1 to 7For the method steps and specific execution process, please refer to [link / reference]. Figures 1 to 7 Specific details will not be elaborated here.

[0105] The processor 91 may include one or more processing cores. The processor 91 connects to various parts of the server using various interfaces and lines, and executes various functions and processes data of the hydrodynamic acquisition device 8 in the estuary area by running or executing instructions, programs, code sets, or instruction sets stored in the memory 92, and by calling data from the memory 92. Optionally, the processor 91 may be implemented using at least one hardware form of Digital Signal Processing (DSP), Field-Programmable Gate Array (FPGA), or Programmable Logic Array (PLA). The processor 91 may integrate one or a combination of several of the following: a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), and a modem. The CPU primarily handles the operating system, user interface, and applications; the GPU is responsible for rendering and drawing the content required to be displayed on the touch screen; and the modem handles wireless communication. It is understood that the modem may also not be integrated into the processor 91 and may be implemented as a separate chip.

[0106] The memory 92 may include random access memory (RAM) or read-only memory. Optionally, the memory 92 may include a non-transitory computer-readable storage medium. The memory 92 can be used to store instructions, programs, code, code sets, or instruction sets. The memory 92 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as touch instructions), instructions for implementing the various method embodiments described above, etc.; the data storage area may store data involved in the various method embodiments described above, etc. Optionally, the memory 92 may also be at least one storage device located remotely from the aforementioned processor 91.

[0107] This application embodiment also provides a storage medium that can store multiple instructions, which are adapted to be loaded and executed by a processor as described above. Figures 1 to 7 For the method steps and specific execution process, please refer to [link / reference]. Figures 1 to 7 Specific details will not be elaborated here.

[0108] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is merely an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit. Furthermore, the specific names of the functional units and modules are only for easy differentiation and are not intended to limit the scope of protection of this application. The specific working process of the units and modules in the above system can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0109] In the above embodiments, the descriptions of each embodiment have different focuses. For parts that are not described in detail or recorded in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0110] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the algorithm. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0111] In the embodiments provided by this invention, it should be understood that the disclosed apparatus / terminal devices and methods can be implemented in other ways. For example, the apparatus / terminal device embodiments described above are merely illustrative. For instance, the division of modules or units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.

[0112] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0113] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0114] If the integrated module / unit is implemented as 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, all or part of the processes in the methods of the above embodiments of the present invention can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms.

[0115] This invention is not limited to the above-described embodiments. If any modifications or variations to this invention do not depart from the spirit and scope of this invention, and if such modifications and variations fall within the scope of the claims and equivalent technologies of this invention, then this invention also intends to include such modifications and variations.

Claims

1. A method for obtaining hydrodynamic data in a river estuary area, characterized in that, Includes the following steps: Spectral data of the estuary region is obtained, wherein the estuary region includes the upstream section, the downstream section, and the section interval region; The spectral data of the estuary area is input into a preset suspended sediment concentration inversion model to obtain suspended sediment concentration inversion data of the upstream section, downstream section, and section interval of the estuary area. Based on the suspended sediment concentration inversion data of the upstream and downstream sections, the suspended sediment concentration of the section interval region is simulated to obtain the suspended sediment concentration simulation data of the section interval region. Based on the simulated data of suspended sediment concentration and the inversion data of suspended sediment concentration in the cross-sectional area, the hydrodynamic intensity coefficient is calculated to obtain the hydrodynamic intensity coefficient data. Obtain measured hydrodynamic data of the upstream and downstream sections; perform hydrodynamic simulation of the section area based on the measured hydrodynamic data of the upstream and downstream sections, and obtain hydrodynamic simulation data of the section area. Based on the hydrodynamic simulation data and hydrodynamic intensity coefficient data of the cross-sectional area, the hydrodynamic target data of the cross-sectional area are obtained.

2. The method for obtaining hydrodynamic data in a river estuary area according to claim 1, characterized in that, The method also includes the step of training the suspended sediment concentration inversion model. The training of the suspended sediment concentration inversion model includes the following steps: Obtain time-series remote sensing image data of the sample area, wherein the time-series remote sensing image data includes remote sensing images at several time points; Spectral data and suspended sediment concentration data of several preset sampling points in several remote sensing images are obtained; the spectral data and suspended sediment concentration data corresponding to the same sampling point are combined to obtain training data sets corresponding to several sampling points of several remote sensing images. Using the spectral data as the independent variable and the suspended sediment concentration data as the dependent variable, a random forest neural network model is constructed. The training data sets corresponding to several sampling points of several remote sensing images are input into the random forest neural network model for training to obtain the suspended sediment concentration inversion model.

3. The method for obtaining hydrodynamic data in a river estuary area according to claim 2, characterized in that: The suspended sediment concentration inversion data includes suspended sediment concentration inversion values ​​for pixels with several location indices. The step of simulating the suspended sediment concentration in the cross-sectional area based on the suspended sediment concentration inversion data of the upstream and downstream cross-sections to obtain the simulated suspended sediment concentration data of the cross-sectional area includes the following steps: Based on the inversion values ​​of suspended sediment concentration of pixels at corresponding location indices in the upstream and downstream cross sections, a spatial interpolation method is used to simulate the suspended sediment concentration of pixels at several location indices in the cross section region, thereby obtaining simulated values ​​of suspended sediment concentration of pixels at several location indices in the cross section region and constructing simulated data of suspended sediment concentration in the cross section region.

4. The method for obtaining hydrodynamic data in a river estuary area according to claim 3, characterized in that, Before simulating the suspended sediment concentration of pixels at corresponding location indices in the upstream and downstream cross-sections using spatial interpolation methods based on the inverted values ​​of suspended sediment concentration of pixels at corresponding location indices in the cross-section interval region, the method includes the following steps: Based on the pixels of several location indices in the suspended sediment concentration inversion data of the upstream and downstream sections, the target section with fewer pixels is determined, and the missing location index of the target section is obtained. The suspended sediment concentration inversion values ​​of pixels at several location indices in the suspended sediment concentration inversion data of the target section are averaged to obtain the average suspended sediment concentration inversion value of the target section. Based on the average suspended sediment concentration inversion value of the target section and the missing location indices, the suspended sediment concentration inversion values ​​of pixels at the missing location indices are supplemented.

5. The method for obtaining hydrodynamic data in a river estuary area according to claim 4, characterized in that, The step of calculating the hydrodynamic intensity coefficient based on the simulated suspended sediment concentration data and the inverted suspended sediment concentration data of the cross-sectional area to obtain the hydrodynamic intensity coefficient data includes the following steps: Based on the simulated data of suspended sediment concentration in the cross-sectional area and the inverted data of suspended sediment concentration, the inverted value of suspended sediment concentration of the same location index cell is subtracted from the simulated value of suspended sediment concentration to obtain the suspended sediment concentration difference of several location index cells in the cross-sectional area. The suspended sediment concentration difference of several location indexes in the cross-sectional area is normalized to obtain the hydrodynamic intensity coefficient of several location indexes in the cross-sectional area, and the hydrodynamic intensity coefficient data is constructed.

6. The method for obtaining hydrodynamic data in a river estuary area according to claim 3, characterized in that: The measured hydrodynamic data includes the measured hydrodynamic values ​​of pixels with several location indices; The step of performing hydrodynamic simulation of the cross-sectional area based on the measured hydrodynamic data of the upstream and downstream cross-sections to obtain the hydrodynamic simulation data of the cross-sectional area includes the following steps: Based on the measured hydrodynamic values ​​of pixels at the same location index in the upstream and downstream sections, a spatial interpolation method is used to simulate the hydrodynamics of pixels at several location indexes in the section interval region, thereby obtaining the simulated hydrodynamic values ​​of pixels at several location indexes in the section interval region and constructing the hydrodynamic simulation data of the section interval region.

7. The method for obtaining hydrodynamic data in a river estuary area according to claim 6, characterized in that, The step of obtaining the target hydrodynamic data for the cross-sectional area based on the hydrodynamic simulation data and hydrodynamic intensity coefficient data of the cross-sectional area includes the following steps: Based on the hydrodynamic simulation data and hydrodynamic intensity coefficient data of the cross-sectional area, the hydrodynamic simulation value of the cell with the same location index is multiplied by the hydrodynamic intensity coefficient to obtain the product result of several location indexes. The hydrodynamic simulation value of the cell with the same location index is added to the product result to obtain the hydrodynamic target value of several location indexes, thus constructing the hydrodynamic target data of the cross-sectional area.

8. A hydrodynamic acquisition device for river estuaries, characterized in that, include: The data acquisition module is used to acquire spectral data of the estuary region, wherein the estuary region includes the upstream section, the downstream section, and the section interval region. The suspended sediment concentration inversion module is used to input the spectral data of the estuary area into the preset suspended sediment concentration inversion model to obtain the suspended sediment concentration inversion data of the upstream section, downstream section and section interval area of ​​the estuary area. The suspended sediment concentration simulation module is used to simulate the suspended sediment concentration in the cross-sectional area based on the suspended sediment concentration inversion data of the upstream and downstream cross-sections, and obtain the suspended sediment concentration simulation data of the cross-sectional area. The hydrodynamic intensity coefficient calculation module is used to calculate the hydrodynamic intensity coefficient based on the simulated data of suspended sediment concentration and the inversion data of suspended sediment concentration in the cross-sectional area, and to obtain the hydrodynamic intensity coefficient data. The hydrodynamic simulation module is used to obtain measured hydrodynamic data of the upstream and downstream sections; and to perform hydrodynamic simulation of the section interval region based on the measured hydrodynamic data of the upstream and downstream sections to obtain the hydrodynamic simulation data of the section interval region. The hydrodynamic calculation module is used to obtain the target hydrodynamic data of the cross-sectional area based on the hydrodynamic simulation data and hydrodynamic intensity coefficient data of the cross-sectional area.

9. A computer device, characterized in that, It includes a processor, a memory, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the hydrodynamic acquisition method for estuary areas as described in any one of claims 1 to 7.

10. A storage medium, characterized in that, The storage medium stores a computer program, which, when executed by a processor, implements the steps of the hydrodynamic acquisition method for estuary areas as described in any one of claims 1 to 7.

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