Dynamic Identification Method and Device for Sensitive Water Areas under the Influence of Water Conservancy Projects

Abstract

The present invention relates to the technical field of water area identification, and particularly to a method and device for dynamically identifying sensitive water areas under the influence of water conservancy projects. Obtain a preset sensitive water area; divide the preset sensitive water area to generate a plurality of sub-sensitive water areas; obtain the water area data corresponding to each sub-sensitive water area within a preset time period; determine the target sensitive range corresponding to the preset sensitive water area according to the water area data corresponding to each sub-sensitive water area within the preset time period. The cost is relatively low, and it is less affected by environmental and human factors, thereby realizing the rapid and accurate determination of the target sensitive range corresponding to the preset sensitive water area, and effectively preventing and reducing events that may have a negative impact on the water area ecological environment.

Description

Technical Field

[0001] The present invention relates to the technical field of water area identification, and particularly to a method and device for dynamically identifying sensitive water areas under the influence of water conservancy projects. Background Art

[0002] The construction and operation of large-scale water conservancy and hydropower projects have realized the optimal allocation of water resources in space and time, and played a crucial role in flood disaster prevention and energy security assurance. However, under the influence of water conservancy projects, the hydrodynamic conditions of sensitive water areas such as aquatic habitats, river bends, shores, lakes, and wetlands have changed significantly. For example, the vertical exchange of water bodies is inhibited, and the vertical temperature stratification of water bodies occurs. Under certain environmental conditions, excessive eutrophication of water bodies can cause algal blooms. When algal blooms occur, it will lead to water quality deterioration and ecological imbalance of water bodies, posing a serious threat to drinking water safety and the water ecosystem. Therefore, it is necessary to monitor the water body status in sensitive water areas to avoid the occurrence of algal bloom phenomena as much as possible.

[0003] The existing identification of sensitive water areas often uses methods such as remote sensing technology and setting up water quality monitoring points to monitor and warn sensitive water areas. Although some existing technologies can dynamically identify sensitive water areas to a certain extent, their settings and economic costs are relatively high, and they are easily affected by environmental and human factors, and cannot quickly and accurately identify sensitive water areas. Summary of the Invention

[0004] In view of this, the present invention provides a method and device for dynamically identifying sensitive water areas under the influence of water conservancy projects to solve the problem that sensitive water areas cannot be quickly and accurately identified.

[0005] In a first aspect, the present invention provides a method for dynamically identifying sensitive water areas under the influence of water conservancy projects, the method comprising:

[0006] Obtaining a preset sensitive water area;

[0007] Dividing the preset sensitive water area to generate a plurality of sub-sensitive water areas;

[0008] Obtaining water area data corresponding to each sub-sensitive water area within a preset time period;

[0009] Determining a target sensitive range corresponding to the preset sensitive water area according to the water area data corresponding to each sub-sensitive water area within the preset time period.

[0010] The dynamic identification method for sensitive waters affected by water conservancy projects provided by the embodiments of the present application obtains the preset sensitive waters; divides the preset sensitive waters to generate multiple sub-sensitive waters, ensuring the accuracy of the generated multiple sub-sensitive waters. Obtains the water area data corresponding to each sub-sensitive water area within a preset time period; determines the target sensitive range corresponding to the preset sensitive water area according to the water area data corresponding to each sub-sensitive water area within the preset time period, ensuring the accuracy of determining the target sensitive range corresponding to the preset sensitive water area. The above method has a low cost and is less affected by environmental and human factors, thereby realizing the rapid and accurate determination of the target sensitive range corresponding to the preset sensitive water area, and effectively preventing and reducing events that may have a negative impact on the water ecological environment.

[0011] In an alternative embodiment, determining the target sensitive range corresponding to the preset sensitive water area according to the water area data corresponding to each sub-sensitive water area within the preset time period includes:

[0012] Determine a reference sub-sensitive water area from each sub-sensitive water area according to the water area data corresponding to each sub-sensitive water area within the preset time period;

[0013] Determine the relationship between each other sub-sensitive water area and the reference sub-sensitive water area according to the water area data corresponding to each sub-sensitive water area within the preset time period; the other sub-sensitive water areas are the sub-sensitive water areas other than the reference sub-sensitive water area among each sub-sensitive water area;

[0014] Determine the target sensitive range corresponding to the preset sensitive water area according to the relationship between each other sub-sensitive water area and the reference sub-sensitive water area.

[0015] The dynamic identification method for sensitive waters affected by water conservancy projects provided by the embodiments of the present application determines a reference sub-sensitive water area from each sub-sensitive water area according to the water area data corresponding to each sub-sensitive water area within the preset time period, ensuring the accuracy of the determined reference sub-sensitive water area. Determine the relationship between each other sub-sensitive water area and the reference sub-sensitive water area according to the water area data corresponding to each sub-sensitive water area within the preset time period, ensuring the accuracy of the determined relationship between each other sub-sensitive water area and the reference sub-sensitive water area. Determine the target sensitive range corresponding to the preset sensitive water area according to the relationship between each other sub-sensitive water area and the reference sub-sensitive water area, realizing the rapid and accurate determination of the target sensitive range corresponding to the preset sensitive water area.

[0016] In an alternative embodiment, the water area data includes hydrological element data and nutrient element data; determining a reference sub-sensitive water area from each sub-sensitive water area according to the water area data corresponding to each sub-sensitive water area within the preset time period includes:

[0017] Calculate the hydrological fluctuation data corresponding to each preset moment within the preset time period for each sub-sensitive water area according to the hydrological element data corresponding to each sub-sensitive water area within the preset time period;

[0018] Calculate the average hydrological fluctuation data corresponding to each sub-sensitive water area according to the hydrological fluctuation data corresponding to each sub-sensitive water area at each preset moment;

[0019] Calculate the nutrient fluctuation data corresponding to each preset moment within the preset time period for each sub-sensitive water area according to the nutrient element data corresponding to each sub-sensitive water area within the preset time period;

[0020] Calculate the average nutrient fluctuation data corresponding to each sub-sensitive water area according to the nutrient fluctuation data corresponding to each sub-sensitive water area at each preset moment;

[0021] Determine the reference sub-sensitive water area from each sub-sensitive water area according to the average hydrological fluctuation data and the average nutrient fluctuation data corresponding to each sub-sensitive water area.

[0022] The method for dynamically identifying sensitive water areas under the influence of water conservancy projects provided by the embodiments of the present application calculates the hydrological fluctuation data corresponding to each preset moment within the preset time period for each sub-sensitive water area according to the hydrological element data corresponding to each sub-sensitive water area within the preset time period, ensuring the accuracy of the calculated hydrological fluctuation data corresponding to each preset moment within the preset time period for each sub-sensitive water area. Calculate the average hydrological fluctuation data corresponding to each sub-sensitive water area according to the hydrological fluctuation data corresponding to each sub-sensitive water area at each preset moment, ensuring the accuracy of the calculated average hydrological fluctuation data corresponding to each sub-sensitive water area. Calculate the nutrient fluctuation data corresponding to each preset moment within the preset time period for each sub-sensitive water area according to the nutrient element data corresponding to each sub-sensitive water area within the preset time period, ensuring the accuracy of the calculated nutrient fluctuation data corresponding to each preset moment within the preset time period for each sub-sensitive water area. Calculate the average nutrient fluctuation data corresponding to each sub-sensitive water area according to the nutrient fluctuation data corresponding to each sub-sensitive water area at each preset moment, ensuring the accuracy of the calculated average nutrient fluctuation data corresponding to each sub-sensitive water area. Determine the reference sub-sensitive water area from each sub-sensitive water area according to the average hydrological fluctuation data and the average nutrient fluctuation data corresponding to each sub-sensitive water area, ensuring the accuracy of the determined reference sub-sensitive water area, and ensuring that the determined reference sub-sensitive water area is the most sensitive and the sub-sensitive area most prone to algal blooms, so as to ensure the accuracy of the target sensitive range determined according to the reference sub-sensitive water area.

[0023] In an optional implementation manner, the water area data includes hydrological element data and nutrient element data; determining the relationship between each other sub-sensitive water area and the reference sub-sensitive water area according to the water area data corresponding to each sub-sensitive water area within the preset time period includes:

[0024] Calculate the hydrological element sensitivity correlation of each other sub-sensitive water area relative to the reference sub-sensitive water area according to the hydrological element data corresponding to each sub-sensitive water area within a preset time period;

[0025] and / or,

[0026] Calculate the nutrient element sensitivity correlation of each other sub-sensitive water area relative to the reference sub-sensitive water area according to the nutrient element data corresponding to each sub-sensitive water area within a preset time period;

[0027] and / or,

[0028] Calculate the hydrological and nutrient element sensitivity correlation of each other sub-sensitive water area relative to the reference sub-sensitive water area according to the hydrological element data and the nutrient element data corresponding to each sub-sensitive water area within a preset time period.

[0029] The dynamic identification method for sensitive water areas under the influence of water conservancy projects provided by the embodiments of the present application calculates the hydrological element sensitivity correlation of each other sub-sensitive water area relative to the reference sub-sensitive water area according to the hydrological element data corresponding to each sub-sensitive water area within a preset time period, ensuring the accuracy of the calculated hydrological element sensitivity correlation of each other sub-sensitive water area relative to the reference sub-sensitive water area. And / or, calculate the nutrient element sensitivity correlation of each other sub-sensitive water area relative to the reference sub-sensitive water area according to the nutrient element data corresponding to each sub-sensitive water area within a preset time period, ensuring the accuracy of the calculated nutrient element sensitivity correlation of each other sub-sensitive water area relative to the reference sub-sensitive water area. And / or, calculate the hydrological and nutrient element sensitivity correlation of each other sub-sensitive water area relative to the reference sub-sensitive water area according to the hydrological element data and the nutrient element data corresponding to each sub-sensitive water area within a preset time period, ensuring the accuracy of the calculated hydrological and nutrient element sensitivity correlation of each other sub-sensitive water area relative to the reference sub-sensitive water area.

[0030] In an optional implementation manner, calculating the hydrological element sensitivity correlation of each other sub-sensitive water area relative to the reference sub-sensitive water area according to the hydrological element data corresponding to each sub-sensitive water area within a preset time period includes:

[0031] Calculate the hydrological fluctuation data corresponding to each preset moment within the preset time period for each sub-sensitive water area according to the hydrological element data corresponding to each sub-sensitive water area within the preset time period;

[0032] Calculate the hydrological element sensitivity correlation of each other sub-sensitive water area relative to the reference sub-sensitive water area according to the hydrological fluctuation data corresponding to each preset moment within the preset time period for each sub-sensitive water area.

[0033] The dynamic identification method for sensitive waters affected by water conservancy projects provided by the embodiments of the present application calculates the hydrological fluctuation data corresponding to each preset moment within a preset time period according to the hydrological element data corresponding to each sub-sensitive water area, ensuring the accuracy of the calculated hydrological fluctuation data corresponding to each sub-sensitive water area at each preset moment within the preset time period. According to the hydrological fluctuation data corresponding to each sub-sensitive water area at each preset moment within the preset time period, the hydrological element sensitivity correlation of each other sub-sensitive water area relative to the reference sub-sensitive water area is calculated, ensuring the accuracy of the calculated hydrological element sensitivity correlation of each other sub-sensitive water area relative to the reference sub-sensitive water area.

[0034] In an alternative embodiment, calculating the hydrological element sensitivity correlation of each other sub-sensitive water area relative to the reference sub-sensitive water area according to the following formula includes:

[0035]

[0036] Where S hh (xr, yr, dx, dy) represents the hydrological element sensitivity correlation of other sub-sensitive water areas relative to the reference sub-sensitive water area, Sh'(xr, yr, t) represents the hydrological fluctuation data corresponding to the reference sub-sensitive water area at each preset moment; Sh'(xr + dx, yr + dy, t) represents the hydrological fluctuation data corresponding to other sub-sensitive water areas at each preset moment, where (xr, yr) represents the location information of the reference sub-sensitive water area, and (xr + dx, yr + dy) represents the location information of other sub-sensitive water areas.

[0037] The dynamic identification method for sensitive waters affected by water conservancy projects provided by the embodiments of the present application, according to Calculating the hydrological element sensitivity correlation of each other sub-sensitive water area relative to the reference sub-sensitive water area ensures the accuracy of the calculated hydrological element sensitivity correlation of each other sub-sensitive water area relative to the reference sub-sensitive water area.

[0038] In an alternative embodiment, according to the hydrological element data and nutrient element data corresponding to each sub-sensitive water area within a preset time period, calculating the hydrological and nutrient element sensitivity correlation of each other sub-sensitive water area relative to the reference sub-sensitive water area includes:

[0039] Calculating the hydrological fluctuation data corresponding to each sub-sensitive water area at each preset moment within the preset time period according to the hydrological element data corresponding to each sub-sensitive water area within the preset time period;

[0040] Calculating the nutrient fluctuation data corresponding to each sub-sensitive water area at each preset moment within the preset time period according to the nutrient element data corresponding to each sub-sensitive water area within the preset time period;

[0041] According to the corresponding hydrological fluctuation data and nutrient fluctuation data of each sub-sensitive water area within a preset time period, calculate the sensitivity correlation of hydrological and nutrient elements of each other sub-sensitive water area equivalent to the reference sub-sensitive water area.

[0042] The method for dynamically identifying sensitive water areas under the influence of water conservancy projects provided by the embodiments of the present application calculates the hydrological fluctuation data corresponding to each sub-sensitive water area at each preset moment within the preset time period according to the hydrological element data corresponding to each sub-sensitive water area within the preset time period, ensuring the accuracy of the calculated hydrological fluctuation data corresponding to each sub-sensitive water area at each preset moment within the preset time period. According to the nutrient element data corresponding to each sub-sensitive water area within the preset time period, calculate the nutrient fluctuation data corresponding to each sub-sensitive water area at each preset moment within the preset time period, ensuring the accuracy of the calculated nutrient fluctuation data corresponding to each sub-sensitive water area at each preset moment within the preset time period. According to the hydrological fluctuation data and nutrient fluctuation data corresponding to each sub-sensitive water area within the preset time period, calculate the sensitivity correlation of hydrological and nutrient elements of each other sub-sensitive water area equivalent to the reference sub-sensitive water area, ensuring the accuracy of the calculated sensitivity correlation of hydrological and nutrient elements of each other sub-sensitive water area equivalent to the reference sub-sensitive water area.

[0043] In an alternative embodiment, calculate the sensitivity correlation of hydrological and nutrient elements of each other sub-sensitive water area equivalent to the reference sub-sensitive water area according to the following formula, including:

[0044]

[0045] where S hp (xr,yr,dx,dy) represents the sensitivity correlation of hydrological and nutrient elements of each other sub-sensitive water area equivalent to the reference sub-sensitive water area, Sp'(xr,yr,t) represents the nutrient fluctuation data corresponding to the reference sub-sensitive water area at each preset moment, Sh'(xr+dx,yr+dy,t) represents the hydrological fluctuation data corresponding to each other sub-sensitive water area at each preset moment, where (xr,yr) represents the location information of the reference sub-sensitive water area, and (xr+dx,yr+dy) represents the location information of the other sub-sensitive water area.

[0046] The method for dynamically identifying sensitive water areas under the influence of water conservancy projects provided by the embodiments of the present application calculates the sensitivity correlation of hydrological and nutrient elements of each other sub-sensitive water area equivalent to the reference sub-sensitive water area according to the following formula,

[0047]

[0048] ensuring the accuracy of the calculated sensitivity correlation of hydrological and nutrient elements of each other sub-sensitive water area equivalent to the reference sub-sensitive water area.

[0049] In an alternative embodiment, the relationships between each other sub-sensitive water area and the reference sub-sensitive water area include: the sensitive correlation of hydrological elements of each other sub-sensitive water area equivalent to the reference sub-sensitive water area, the sensitive correlation of nutrient elements of each other sub-sensitive water area equivalent to the reference sub-sensitive water area, and the sensitive correlation of hydrological and nutrient elements of each other sub-sensitive water area equivalent to the reference sub-sensitive water area. According to the relationships between each other sub-sensitive water area and the reference sub-sensitive water area, determining the target sensitive range corresponding to the preset sensitive water area includes:

[0050] Calculating the target sensitive correlation of each other sub-sensitive water area relative to the reference sub-sensitive water area according to the sensitive correlation of hydrological elements, the sensitive correlation of nutrient elements, and the sensitive correlation of hydrological and nutrient elements of each other sub-sensitive water area equivalent to the reference sub-sensitive water area;

[0051] Comparing each target sensitive correlation with a preset sensitive correlation threshold;

[0052] If the target sensitive correlation is greater than the preset sensitive correlation threshold, determining the other sub-sensitive water area as the target sub-sensitive water area;

[0053] Determining the target sensitive range corresponding to the preset sensitive water area according to the position information of each target sub-sensitive water area in the preset sensitive water area.

[0054] The method for dynamically identifying sensitive water areas under the influence of water conservancy projects provided by the embodiments of the present application calculates the target sensitive correlation of each other sub-sensitive water area relative to the reference sub-sensitive water area according to the sensitive correlation of hydrological elements, the sensitive correlation of nutrient elements, and the sensitive correlation of hydrological and nutrient elements of each other sub-sensitive water area equivalent to the reference sub-sensitive water area, ensuring the accuracy of the calculated target sensitive correlation of each other sub-sensitive water area relative to the reference sub-sensitive water area. Comparing each target sensitive correlation with a preset sensitive correlation threshold; if the target sensitive correlation is greater than the preset sensitive correlation threshold, determining the other sub-sensitive water area as the target sub-sensitive water area, ensuring the accuracy of the determined target sub-sensitive water area. Determining the target sensitive range corresponding to the preset sensitive water area according to the position information of each target sub-sensitive water area in the preset sensitive water area, ensuring the accuracy of the determined target sensitive range corresponding to the preset sensitive water area.

[0055] In a second aspect, the present invention provides a device for dynamically identifying sensitive water areas under the influence of water conservancy projects, the device includes:

[0056] A first acquisition module, configured to acquire a preset sensitive water area;

[0057] A generation module, configured to divide the preset sensitive water area to generate a plurality of sub-sensitive water areas;

[0058] A second acquisition module, configured to acquire water area data corresponding to each sub-sensitive water area within a preset time period;

[0059] A determination module, configured to determine a target sensitive range corresponding to a preset sensitive water area according to the water area data corresponding to each sub-sensitive water area within the preset time period.

[0060] The dynamic identification device for sensitive water areas under the influence of water conservancy projects provided by the embodiments of the present application acquires a preset sensitive water area; divides the preset sensitive water area to generate a plurality of sub-sensitive water areas, ensuring the accuracy of the generated plurality of sub-sensitive water areas. It acquires the water area data corresponding to each sub-sensitive water area within the preset time period; determines the target sensitive range corresponding to the preset sensitive water area according to the water area data corresponding to each sub-sensitive water area within the preset time period, ensuring the accuracy of determining the target sensitive range corresponding to the preset sensitive water area. The above device has a low cost and is less affected by environmental and human factors, thereby realizing quickly and accurately determining the target sensitive range corresponding to the preset sensitive water area, and effectively preventing and reducing events that may have a negative impact on the water ecological environment.

[0061] In a third aspect, the present invention provides an electronic device, including: a memory and a processor, which are communicatively connected to each other. The memory stores computer instructions, and the processor executes the computer instructions to execute the method for dynamically identifying sensitive water areas under the influence of water conservancy projects according to the first aspect or any corresponding embodiment thereof.

[0062] In a fourth aspect, the present invention provides a computer-readable storage medium, on which computer instructions are stored, and the computer instructions are used to cause a computer to execute the method for dynamically identifying sensitive water areas under the influence of water conservancy projects according to the first aspect or any corresponding embodiment thereof.

[0063] In a fifth aspect, the present invention provides a computer program product, including computer instructions, and the computer instructions are used to cause a computer to execute the method for dynamically identifying sensitive water areas under the influence of water conservancy projects according to the first aspect or any corresponding embodiment thereof. Description of the Drawings

[0064] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following will briefly introduce the drawings required for use in the description of the specific embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0065] Figure 1 It is a schematic flowchart of the method for dynamically identifying sensitive water areas under the influence of water conservancy projects according to the embodiments of the present invention;

[0066] Figure 2 It is a schematic flowchart of a method for dynamically identifying sensitive waters affected by another water conservancy project according to an embodiment of the present invention;

[0067] Figure 3 It is a schematic diagram of a preset sensitive water area according to an embodiment of the present invention;

[0068] Figure 4 It is a distribution schematic diagram showing the sensitive correlation of hydrological elements corresponding to a preset sensitive water area according to an embodiment of the present invention;

[0069] Figure 5 It is a distribution schematic diagram showing the sensitive correlation of hydrological elements and nutrients corresponding to a preset sensitive water area according to an embodiment of the present invention;

[0070] Figure 6 It is a structural block diagram of a device for dynamically identifying sensitive waters affected by a water conservancy project according to an embodiment of the present invention;

[0071] Figure 7 It is a schematic diagram of the hardware structure of an electronic device according to an embodiment of the present invention. Detailed implementation manners

[0072] To make the objectives, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Apparently, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0073] The construction and operation of large-scale water conservancy and hydropower projects have realized the optimal allocation of water resources in space and time, and played a crucial role in flood disaster prevention and energy security assurance. However, under the influence of water conservancy projects, the hydrodynamic conditions of sensitive waters such as aquatic biological habitats, river bends, banks, lakes, and wetlands have changed significantly. For example, the vertical exchange of water bodies is inhibited, and the vertical water temperature stratification occurs. Under certain environmental conditions, excessive eutrophication of water bodies can cause algal blooms. When algal blooms occur, it will lead to water quality deterioration and ecological imbalance of water bodies, posing a serious threat to drinking water safety and the water ecosystem. Therefore, it is necessary to monitor the water body state in sensitive waters to avoid the occurrence of algal bloom phenomena as much as possible.

[0074] The existing identification of sensitive waters often uses methods such as remote sensing technology and setting up water quality monitoring points to monitor and give early warnings for sensitive waters. Although some existing technologies can, to a certain extent, dynamically identify sensitive waters, there are still the following deficiencies: For remote sensing technology, the optical properties of water bodies may vary due to different components such as suspended solids, plankton, and dissolved organic matter in them, and cloud cover and weather conditions may affect the acquisition and quality of remote sensing data. These factors will all affect the remote sensing signal, making the establishment and application of the inversion model of water quality parameters more complex; for setting up water quality monitoring points, the limited number of monitoring points cannot cover all waters, and thus cannot comprehensively reflect the water quality status of the entire water area. At the same time, the setting and economic costs of both are relatively high, and they are easily affected by environmental and human factors, and cannot quickly and accurately identify sensitive waters.

[0075] Based on the above problems, the embodiments of the present application provide a method for dynamically identifying sensitive waters affected by water conservancy projects, which includes obtaining a preset sensitive water area; dividing the preset sensitive water area to generate multiple sub-sensitive water areas; obtaining the water area data corresponding to each sub-sensitive water area within a preset time period; and determining the target sensitive range corresponding to the preset sensitive water area according to the water area data corresponding to each sub-sensitive water area within the preset time period, ensuring the accuracy of determining the target sensitive range corresponding to the preset sensitive water area. The above method has a relatively low cost and is less affected by environmental and human factors, thereby achieving the rapid and accurate determination of the target sensitive range corresponding to the preset sensitive water area.

[0076] It should be noted that for the method for dynamically identifying sensitive waters affected by water conservancy projects provided by the embodiments of the present application, the execution subject may be a device for dynamically identifying sensitive waters affected by water conservancy projects. This device for dynamically identifying sensitive waters affected by water conservancy projects can be implemented as part or all of an electronic device through software, hardware, or a combination of software and hardware. Among them, the electronic device can be a server or a terminal. Among them, the server in the embodiments of the present application can be a single server or a server cluster composed of multiple servers. The terminal in the embodiments of the present application can be other intelligent hardware devices such as a smart phone, a personal computer, a tablet computer, a wearable device, and a smart robot. In the following method embodiments, the execution subject is taken as an electronic device for illustration.

[0077] According to an embodiment of the present invention, there is provided an embodiment of a method for dynamically identifying sensitive waters affected by water conservancy projects. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. And although the logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in a different order than here.

[0078] In this embodiment, a method for dynamically identifying sensitive waters affected by water conservancy projects is provided, which can be used in the above-mentioned electronic device. Figure 1 It is a flowchart of the method for dynamically identifying sensitive waters affected by water conservancy projects according to an embodiment of the present invention. As Figure 1 shown, this process includes the following steps:

[0079] Step S101, obtain a preset sensitive water area.

[0080] Specifically, the electronic device can receive the preset sensitive water area input by the user, or can receive the preset sensitive water area sent by other devices. The embodiments of the present application do not specifically limit the manner in which the electronic device obtains the preset sensitive water area.

[0081] Step S102, divide the preset sensitive water area to generate multiple sub-sensitive water areas.

[0082] Specifically, the electronic device can divide the preset sensitive water area according to a preset length step and a preset width step to generate multiple sub-sensitive water areas.

[0083] Exemplarily, the electronic device can divide the preset sensitive water area according to dx and dy to generate multiple sub-sensitive water areas.

[0084] Exemplarily, the position information corresponding to each sub-sensitive water area can be represented based on the following formula:

[0085] Cij = [xmin + i·dx, xmin + (i + 1)·dx] × [ymin + j·dy, ymin + (j + 1)·

[0086] dy](1)

[0087] Step S103, obtain the water area data corresponding to each sub-sensitive water area within a preset time period.

[0088] Specifically, the electronic device can receive the water area data corresponding to each sub-sensitive water area within the preset time period input by the user, or can receive the water area data corresponding to each sub-sensitive water area within the preset time period sent by other devices, or can also collect the water area data corresponding to each sub-sensitive water area within the preset time period based on a collection device.

[0089] The embodiments of the present application do not specifically limit the manner in which the electronic device obtains the water area data corresponding to each sub-sensitive water area within the preset time period.

[0090] Optionally, the preset time can be calculated according to the longest distance of the sensitive water area boundary corresponding to the preset sensitive water area and the longest distance of the sensitive water area boundary.

[0091] Exemplarily, for the sensitive water area boundary corresponding to the preset sensitive water area, the longest distance is Xmax, the time-averaged flow velocity of the basin hydrodynamic is Umean, and the preset time T≥AXmax / Umean, where A is a preset value, which can be 20, or 30, or other values. The embodiments of the present application do not make specific limitations on the preset value.

[0092] Step S104: Determine the target sensitive range corresponding to the preset sensitive water area according to the water area data corresponding to each sub-sensitive water area within the preset time period.

[0093] Specifically, the electronic device can determine the target sub-sensitive water area according to the water area data corresponding to each sub-sensitive water area within the preset time period, and then determine the target sensitive range corresponding to the preset sensitive water area according to each target sub-sensitive water area.

[0094] This step will be introduced in detail below.

[0095] The method for dynamically identifying sensitive water areas under the influence of water conservancy projects provided by the embodiments of the present application obtains the preset sensitive water area; divides the preset sensitive water area to generate multiple sub-sensitive water areas, ensuring the accuracy of the generated multiple sub-sensitive water areas. Obtain the water area data corresponding to each sub-sensitive water area within the preset time period; determine the target sensitive range corresponding to the preset sensitive water area according to the water area data corresponding to each sub-sensitive water area within the preset time period, ensuring the accuracy of determining the target sensitive range corresponding to the preset sensitive water area. The above method has a low cost and is less affected by environmental and human factors, thereby realizing the rapid and accurate determination of the target sensitive range corresponding to the preset sensitive water area, and effectively preventing and reducing events that may have a negative impact on the water ecological environment.

[0096] In this embodiment, a method for dynamically identifying sensitive water areas under the influence of water conservancy projects is provided, which can be used for the above-mentioned electronic device. Figure 2 It is a flowchart of the method for dynamically identifying sensitive water areas under the influence of water conservancy projects according to the embodiments of the present invention, as Figure 2 shown, and the process includes the following steps:

[0097] Step S201: Obtain the preset sensitive water area.

[0098] For this step, please refer to the introduction of step S101 above and will not be elaborated here.

[0099] Step S202: Divide the preset sensitive water area to generate multiple sub-sensitive water areas.

[0100] For this step, please refer to the introduction of step S102 above and will not be elaborated here.

[0101] Step S203: Obtain the water area data corresponding to each sub-sensitive water area within the preset time period.

[0102] For this step, please refer to the above introduction to step S103 and no further elaboration will be provided here.

[0103] Step S204: Determine the target sensitive range corresponding to the preset sensitive water area according to the water area data corresponding to each sub-sensitive water area within a preset time period.

[0104] Specifically, the above step S204 may include the following steps:

[0105] Step S2041: Determine the reference sub-sensitive water area from each sub-sensitive water area according to the water area data corresponding to each sub-sensitive water area within a preset time period.

[0106] Specifically, the water area data includes hydrological element data and nutrient element data. Among them, the hydrological element data includes water temperature, flow velocity, water level, etc., and the nutrient element data includes ammonia nitrogen concentration, total phosphorus concentration, chlorophyll a concentration, etc.

[0107] The above step S2041 may include the following steps:

[0108] Step a1: Calculate the hydrological fluctuation data corresponding to each preset moment within a preset time period for each sub-sensitive water area according to the hydrological element data corresponding to each sub-sensitive water area within a preset time period.

[0109] Specifically, the electronic device may first identify the missing values in the hydrological element data corresponding to each sub-sensitive water area within a preset time period and fill the missing values by time series interpolation. Then, identify the outliers in the hydrological element data corresponding to each sub-sensitive water area after filling the missing values and correct the outliers by time series interpolation. Next, perform data standardization processing on the hydrological element data corresponding to each sub-sensitive water area after correcting the outliers to eliminate the influence of different scales and dimensions.

[0110] The electronic device may calculate the average hydrological element data corresponding to each sub-sensitive water area within a preset time period according to the standardized hydrological element data corresponding to each sub-sensitive water area within a preset time period. Then, for each sub-sensitive water area, the electronic device subtracts the average hydrological element data from the hydrological element data corresponding to each preset moment within a preset time period of the sub-sensitive water area to calculate the hydrological fluctuation data corresponding to each preset moment within a preset time period of each sub-sensitive water area.

[0111] Exemplarily, the electronic device may calculate the hydrological fluctuation data corresponding to each preset moment within a preset time period for each sub-sensitive water area based on the following formula:

[0112]

[0113] In the formula, is the instantaneous index value of the standardized hydrological element data corresponding to the sub-sensitive water area at time t; <S h > represents the average hydrological element data corresponding to the sub-sensitive water area within the preset time period.

[0114] Step a2: Calculate the average hydrological fluctuation data corresponding to each sub-sensitive water area according to the hydrological fluctuation data corresponding to each sub-sensitive water area at each preset time.

[0115] Specifically, for each sub-sensitive water area, the electronic device can add the hydrological fluctuation data corresponding to the sub-sensitive water area at each preset time and then calculate the average value, so as to calculate the average hydrological fluctuation data corresponding to the sub-sensitive water area.

[0116] Step a3: Calculate the nutrient fluctuation data corresponding to each sub-sensitive water area at each preset time within the preset time period according to the nutrient element data corresponding to each sub-sensitive water area within the preset time period.

[0117] Specifically, the electronic device can first identify the missing values in the nutrient element data corresponding to each sub-sensitive water area within the preset time period and fill the missing values by time series interpolation. Then, identify the outliers in the nutrient element data corresponding to each sub-sensitive water area within the preset time period after filling the missing values and correct the outliers by time series interpolation. Next, perform data standardization processing on the nutrient element data corresponding to each sub-sensitive water area within the preset time period after correcting the outliers to eliminate the influence of different scales and dimensions.

[0118] The electronic device can calculate the average nutrient element data corresponding to each sub-sensitive water area within the preset time period according to the standardized nutrient element data corresponding to each sub-sensitive water area within the preset time period. Then, for each sub-sensitive water area, the electronic device subtracts the average nutrient element data from the nutrient element data corresponding to each sub-sensitive water area at each preset time within the preset time period to calculate the nutrient fluctuation data corresponding to each sub-sensitive water area at each preset time within the preset time period.

[0119] Exemplarily, the electronic device can calculate the nutrient fluctuation data corresponding to each sub-sensitive water area at each preset time within the preset time period based on the following formula:

[0120]

[0121] In the formula, is the instantaneous index value of the standardized nutrient element data corresponding to the sub-sensitive water area at time t; <S p > represents the average nutrient element data corresponding to the sub-sensitive water area within the preset time period.

[0122] Step a4: Calculate the average nutrient fluctuation data corresponding to each sub-sensitive water area based on the nutrient fluctuation data corresponding to each sub-sensitive water area at each preset moment.

[0123] Specifically, for each sub-sensitive water area, the electronic device can add up the nutrient fluctuation data corresponding to the sub-sensitive water area at each preset moment and then calculate the average value, so as to calculate the average nutrient fluctuation data corresponding to the sub-sensitive water area.

[0124] Step a5: Determine the reference sub-sensitive water area from each sub-sensitive water area according to the average hydrological fluctuation data and the average nutrient fluctuation data corresponding to each sub-sensitive water area.

[0125] Optionally, the electronic device can add up the average hydrological fluctuation data and the average nutrient fluctuation data corresponding to each sub-sensitive water area to calculate the average target fluctuation data. The electronic device can compare the average target fluctuation data corresponding to each sub-sensitive water area and determine the sub-sensitive water area with the largest average target fluctuation data as the reference sub-sensitive water area.

[0126] Optionally, the electronic device can multiply the average hydrological fluctuation data and the average nutrient fluctuation data corresponding to each sub-sensitive water area by the corresponding weights respectively, and then add them up to calculate the average target fluctuation data. The electronic device can compare the average target fluctuation data corresponding to each sub-sensitive water area and determine the sub-sensitive water area with the largest average target fluctuation data as the reference sub-sensitive water area.

[0127] Step S2042: Determine the relationship between each other sub-sensitive water area and the reference sub-sensitive water area according to the water area data corresponding to each sub-sensitive water area within a preset time period.

[0128] Among them, the other sub-sensitive water areas are the sub-sensitive water areas except the reference sub-sensitive water area among each sub-sensitive water area.

[0129] Specifically, the water area data includes hydrological element data and nutrient element data; the above step S2042 may include the following steps:

[0130] Step b1: Calculate the hydrological element sensitivity correlation of each other sub-sensitive water area relative to the reference sub-sensitive water area according to the hydrological element data corresponding to each sub-sensitive water area within a preset time period.

[0131] Specifically, the above step b1 may include the following steps:

[0132] Step b11: Calculate the hydrological fluctuation data corresponding to each sub-sensitive water area at each preset moment within the preset time period according to the hydrological element data corresponding to each sub-sensitive water area within the preset time period.

[0133] Specifically, the electronic device can first calculate the average hydrological element data corresponding to each sub-sensitive water area within a preset time period based on the hydrological element data corresponding to each sub-sensitive water area within the preset time period. Then, for each sub-sensitive water area, the electronic device subtracts the average hydrological element data from the hydrological element data corresponding to each preset moment within the preset time period of the sub-sensitive water area to calculate the hydrological fluctuation data corresponding to each preset moment within the preset time period of each sub-sensitive water area.

[0134] Step b12: Calculate the hydrological element sensitivity correlation of each other sub-sensitive water area relative to the reference sub-sensitive water area according to the hydrological fluctuation data corresponding to each preset moment within the preset time period of each sub-sensitive water area.

[0135] Specifically, the electronic device can calculate the hydrological element sensitivity correlation of each other sub-sensitive water area relative to the reference sub-sensitive water area according to the following formula:

[0136]

[0137] where S hh (xr, yr, dx, dy) represents the hydrological element sensitivity correlation of the other sub-sensitive water area relative to the reference sub-sensitive water area, Sh'(xr, yr, t) represents the hydrological fluctuation data corresponding to each preset moment of the reference sub-sensitive water area; Sh'(xr + dx, yr + dy, t) represents the hydrological fluctuation data corresponding to each preset moment of the other sub-sensitive water area, where (xr, yr) represents the location information of the reference sub-sensitive water area, and (xr + dx, yr + dy) represents the location information of the other sub-sensitive water area.

[0138] And / or

[0139] Step b2: Calculate the nutrient element sensitivity correlation of each other sub-sensitive water area relative to the reference sub-sensitive water area according to the nutrient element data corresponding to each sub-sensitive water area within a preset time period.

[0140] Specifically, the above step b2 may include the following steps:

[0141] Step b21: Calculate the nutrient fluctuation data corresponding to each preset moment within the preset time period of each sub-sensitive water area according to the nutrient element data corresponding to each sub-sensitive water area within the preset time period.

[0142] Specifically, the electronic device can first calculate the average nutrient element data corresponding to each sub-sensitive water area within a preset time period based on the nutrient element data corresponding to each sub-sensitive water area. Then, for each sub-sensitive water area, the electronic device subtracts the average nutrient element data from the nutrient element data corresponding to each preset moment within the preset time period of the sub-sensitive water area to calculate the nutrient fluctuation data corresponding to each preset moment within the preset time period of each sub-sensitive water area.

[0143] Step b22: Calculate the nutrient element sensitivity correlation of each other sub-sensitive water area relative to the reference sub-sensitive water area according to the nutrient fluctuation data corresponding to each preset moment within the preset time period of each sub-sensitive water area.

[0144] Specifically, the electronic device can calculate the nutrient element sensitivity correlation of each other sub-sensitive water area relative to the reference sub-sensitive water area according to the following formula:

[0145]

[0146] where S pp (xr, yr, dx, dy) represents the nutrient element sensitivity correlation of other sub-sensitive water areas relative to the reference sub-sensitive water area, Sp'(xr, yr, t) represents the nutrient fluctuation data corresponding to each preset moment of the reference sub-sensitive water area, Sp'(xr + dx, yr + dy, t) represents the nutrient fluctuation data corresponding to each preset moment of other sub-sensitive water areas, where (xr, yr) represents the location information of the reference sub-sensitive water area, and (xr + dx, yr + dy) represents the location information of other sub-sensitive water areas.

[0147] and / or

[0148] Step b3: Calculate the hydrological and nutrient element sensitivity correlation of each other sub-sensitive water area relative to the reference sub-sensitive water area according to the hydrological element data and nutrient element data corresponding to each sub-sensitive water area within a preset time period.

[0149] Specifically, the above step b3 may include the following steps:

[0150] Step b31: Calculate the hydrological fluctuation data corresponding to each preset moment within the preset time period of each sub-sensitive water area according to the hydrological element data corresponding to each sub-sensitive water area within the preset time period.

[0151] Specifically, the electronic device can first calculate the average hydrological element data corresponding to each sub-sensitive water area within a preset time period based on the hydrological element data corresponding to each sub-sensitive water area within the preset time period. Then, for each sub-sensitive water area, the electronic device subtracts the average hydrological element data from the hydrological element data corresponding to each preset moment within the preset time period of the sub-sensitive water area to calculate the hydrological fluctuation data corresponding to each preset moment within the preset time period of each sub-sensitive water area.

[0152] Step b32: Calculate the nutrient fluctuation data corresponding to each preset moment within the preset time period for each sub-sensitive water area based on the nutrient element data corresponding to each sub-sensitive water area within the preset time period.

[0153] Specifically, the electronic device can first calculate the average nutrient element data corresponding to each sub-sensitive water area within a preset time period based on the nutrient element data corresponding to each sub-sensitive water area within the preset time period. Then, for each sub-sensitive water area, the electronic device subtracts the average nutrient element data from the nutrient element data corresponding to each preset moment within the preset time period of the sub-sensitive water area to calculate the nutrient fluctuation data corresponding to each preset moment within the preset time period of each sub-sensitive water area.

[0154] Step b33: Calculate the hydrological and nutrient element sensitivity correlation of each other sub-sensitive water area relative to the reference sub-sensitive water area based on the hydrological fluctuation data and nutrient fluctuation data corresponding to each sub-sensitive water area within the preset time period.

[0155] Specifically, the electronic device can calculate the hydrological and nutrient element sensitivity correlation of each other sub-sensitive water area relative to the reference sub-sensitive water area according to the following formula:

[0156]

[0157] Among them, S hp (xr, yr, dx, dy) represents the hydrological and nutrient element sensitivity correlation of each other sub-sensitive water area relative to the reference sub-sensitive water area, Sp'(xr, yr, t) represents the nutrient fluctuation data corresponding to the reference sub-sensitive water area at each preset moment, Sh'(xr + dx, yr + dy, t) represents the hydrological fluctuation data corresponding to each other sub-sensitive water area at each preset moment, where (xr, yr) represents the location information of the reference sub-sensitive water area, and (xr + dx, yr + dy) represents the location information of the other sub-sensitive water area.

[0158] Step S2043: Determine the target sensitive range corresponding to the preset sensitive water area according to the relationship between each other sub-sensitive water area and the reference sub-sensitive water area.

[0159] Optionally, the relationships between each other sub-sensitive water area and the reference sub-sensitive water area include: the sensitive correlation of hydrological elements of each other sub-sensitive water area equivalent to the reference sub-sensitive water area, or the sensitive correlation of nutrient elements of each other sub-sensitive water area equivalent to the reference sub-sensitive water area, or the sensitive correlation of hydrological and nutrient elements of each other sub-sensitive water area equivalent to the reference sub-sensitive water area. The electronic device compares the sensitive correlation of hydrological elements or the sensitive correlation of nutrient elements or the sensitive correlation of hydrological and nutrient elements with a preset sensitive correlation threshold. If the sensitive correlation of hydrological elements or the sensitive correlation of nutrient elements or the sensitive correlation of hydrological and nutrient elements is greater than the preset sensitive correlation threshold, the other sub-sensitive water area is determined as the target sub-sensitive water area. Then, the electronic device determines the target sensitive range corresponding to the preset sensitive water area according to the position information of each target sub-sensitive water area in the preset sensitive water area.

[0160] Optionally, the relationships between each other sub-sensitive water area and the reference sub-sensitive water area include: the sensitive correlation of hydrological elements of each other sub-sensitive water area equivalent to the reference sub-sensitive water area, the sensitive correlation of nutrient elements of each other sub-sensitive water area equivalent to the reference sub-sensitive water area, and the sensitive correlation of hydrological and nutrient elements of each other sub-sensitive water area equivalent to the reference sub-sensitive water area. The above step S2043 may include the following steps:

[0161] Step c1, calculate the target sensitive correlation of each other sub-sensitive water area relative to the reference sub-sensitive water area according to the sensitive correlation of hydrological elements, the sensitive correlation of nutrient elements, and the sensitive correlation of hydrological and nutrient elements of each other sub-sensitive water area equivalent to the reference sub-sensitive water area.

[0162] Optionally, the electronic device may add the sensitive correlation of hydrological elements, the sensitive correlation of nutrient elements, and the sensitive correlation of hydrological and nutrient elements of each other sub-sensitive water area equivalent to the reference sub-sensitive water area, and calculate the target sensitive correlation of each other sub-sensitive water area relative to the reference sub-sensitive water area.

[0163] Optionally, the electronic device may establish a judgment matrix based on the sensitive correlation of hydrological elements, the sensitive correlation of nutrient elements, and the sensitive correlation of hydrological and nutrient elements of each other sub-sensitive water area equivalent to the reference sub-sensitive water area. Then, when using the AHP (Analytic Hierarchy Process) method, calculate the weights of the sensitive correlation of hydrological elements, the sensitive correlation of nutrient elements, and the sensitive correlation of hydrological and nutrient elements by solving the eigenvector of the judgment matrix. It is also possible to determine the weights by calculating the entropy values of the sensitive correlation of hydrological elements, the sensitive correlation of nutrient elements, and the sensitive correlation of hydrological and nutrient elements through the entropy weight method.

[0164] Then, the electronic device multiplies the hydrological element sensitivity correlation, the nutrient element sensitivity correlation, and the hydrological and nutrient element sensitivity correlation by their corresponding weights respectively, and then adds them up to calculate the target sensitivity correlation of each other sub-sensitive water area relative to the reference sub-sensitive water area.

[0165] Step c2, compare each target sensitivity correlation with a preset sensitivity correlation threshold.

[0166] Specifically, the electronic device can receive the preset sensitivity correlation threshold input by the user, or receive the preset sensitivity correlation threshold sent by other devices. The electronic device can also determine the preset sensitivity correlation threshold according to the magnitudes of the target sensitivity correlations of each other sub-sensitive water area relative to the reference sub-sensitive water area. Exemplarily, the electronic device multiplies the maximum target sensitivity correlation by a preset ratio to calculate the preset sensitivity correlation threshold. Wherein, the preset ratio can be 80%, or 75%. The embodiments of the present application do not make specific limitations on the preset ratio.

[0167] Then, the electronic device compares each target sensitivity correlation with the preset sensitivity correlation threshold.

[0168] Step c3, if the target sensitivity correlation is greater than the preset sensitivity correlation threshold, then determine the other sub-sensitive water area as the target sub-sensitive water area.

[0169] Specifically, if the target sensitivity correlation is greater than the preset sensitivity correlation threshold, the electronic device determines the other sub-sensitive water area corresponding to the target sensitivity correlation greater than the preset sensitivity correlation threshold as the target sub-sensitive water area.

[0170] Step c4, determine the target sensitive range corresponding to the preset sensitive water area according to the position information of each target sub-sensitive water area in the preset sensitive water area.

[0171] Specifically, the electronic device can obtain the position information of the target sub-sensitive water area in the preset sensitive water area, and then determine the target sensitive range corresponding to the preset sensitive water area according to the position information of each target sub-sensitive water area in the preset sensitive water area.

[0172] The dynamic identification method for sensitive waters affected by water conservancy projects provided by the embodiments of the present application calculates the hydrological fluctuation data corresponding to each sub-sensitive water area at each preset moment within the preset time period according to the hydrological element data corresponding to each sub-sensitive water area within the preset time period, ensuring the accuracy of the calculated hydrological fluctuation data corresponding to each sub-sensitive water area at each preset moment within the preset time period. According to the hydrological fluctuation data corresponding to each sub-sensitive water area at each preset moment, the average hydrological fluctuation data corresponding to each sub-sensitive water area is calculated, ensuring the accuracy of the calculated average hydrological fluctuation data corresponding to each sub-sensitive water area. According to the nutrient element data corresponding to each sub-sensitive water area within the preset time period, the nutrient fluctuation data corresponding to each sub-sensitive water area at each preset moment within the preset time period is calculated, ensuring the accuracy of the calculated nutrient fluctuation data corresponding to each sub-sensitive water area at each preset moment within the preset time period. According to the nutrient fluctuation data corresponding to each sub-sensitive water area at each preset moment, the average nutrient fluctuation data corresponding to each sub-sensitive water area is calculated, ensuring the accuracy of the calculated average nutrient fluctuation data corresponding to each sub-sensitive water area. According to the average hydrological fluctuation data and the average nutrient fluctuation data corresponding to each sub-sensitive water area, the reference sub-sensitive water area is determined from each sub-sensitive water area, ensuring the accuracy of the determined reference sub-sensitive water area, and ensuring that the determined reference sub-sensitive water area is the most sensitive and the sub-sensitive area most prone to algal blooms, so as to ensure the accuracy of the target sensitive range determined according to the reference sub-sensitive water area.

[0173] According to the hydrological element data corresponding to each sub-sensitive water area within a preset time period, calculate the hydrological fluctuation data corresponding to each sub-sensitive water area at each preset moment within the preset time period, ensuring the accuracy of the calculated hydrological fluctuation data corresponding to each sub-sensitive water area at each preset moment within the preset time period. According to the hydrological fluctuation data corresponding to each sub-sensitive water area at each preset moment within the preset time period, calculate the sensitivity correlation of hydrological elements of each other sub-sensitive water area relative to the reference sub-sensitive water area, ensuring the accuracy of the calculated sensitivity correlation of hydrological elements of each other sub-sensitive water area relative to the reference sub-sensitive water area. According to the nutrient element data corresponding to each sub-sensitive water area within the preset time period, calculate the sensitivity correlation of nutrient elements of each other sub-sensitive water area relative to the reference sub-sensitive water area, ensuring the accuracy of the calculated sensitivity correlation of nutrient elements of each other sub-sensitive water area relative to the reference sub-sensitive water area. According to the hydrological element data corresponding to each sub-sensitive water area within the preset time period, calculate the hydrological fluctuation data corresponding to each sub-sensitive water area at each preset moment within the preset time period, ensuring the accuracy of the calculated hydrological fluctuation data corresponding to each sub-sensitive water area at each preset moment within the preset time period. According to the nutrient element data corresponding to each sub-sensitive water area within the preset time period, calculate the nutrient fluctuation data corresponding to each sub-sensitive water area at each preset moment within the preset time period, ensuring the accuracy of the calculated nutrient fluctuation data corresponding to each sub-sensitive water area at each preset moment within the preset time period. According to the hydrological fluctuation data and nutrient fluctuation data corresponding to each sub-sensitive water area within the preset time period, calculate the sensitivity correlation of hydrological and nutrient elements of each other sub-sensitive water area relative to the reference sub-sensitive water area, ensuring the accuracy of the calculated sensitivity correlation of hydrological and nutrient elements of each other sub-sensitive water area relative to the reference sub-sensitive water area.

[0174] According to the sensitivity correlation of hydrological elements, the sensitivity correlation of nutrient elements, and the sensitivity correlation of hydrological and nutrient elements of each other sub-sensitive water area relative to the reference sub-sensitive water area, calculate the target sensitivity correlation of each other sub-sensitive water area relative to the reference sub-sensitive water area, ensuring the accuracy of the calculated target sensitivity correlation of each other sub-sensitive water area relative to the reference sub-sensitive water area. Compare each target sensitivity correlation with a preset sensitivity correlation threshold; if the target sensitivity correlation is greater than the preset sensitivity correlation threshold, then determine the other sub-sensitive water area as the target sub-sensitive water area, ensuring the accuracy of the determined target sub-sensitive water area. According to the position information of each target sub-sensitive water area in the preset sensitive water area, determine the target sensitive range corresponding to the preset sensitive water area, ensuring the accuracy of the determined target sensitive range corresponding to the preset sensitive water area.

[0175] To better introduce the dynamic identification method of sensitive water areas under the influence of water conservancy projects introduced in the embodiments of the present application, the embodiments of the present application provide a specific implementation manner. As Figure 3As shown in the figure, it is a schematic diagram of dividing a preset sensitive water area into multiple sub-sensitive water areas in an embodiment of the present invention. The entire preset sensitive water area is affected by the water conservancy project scheduling and has a significant impact on the water level change in the reservoir area within the basin. The external solid line is the boundary of the preset sensitive basin, and the internal is the boundary of the sub-sensitive water area division. The total area defined by the preset sensitive basin boundary is 8630 km 2 The electronic device can divide the preset sensitive water area according to dx and dy to generate multiple sub-sensitive water areas C ij In the embodiment of the present application, dx and dy are 5.6 and 4.7 m respectively, and the number of sub-sensitive water areas C ij is approximately 3.2×105. According to the flow velocity range of historical data, the time-averaged flow velocity U mean of the preset sensitive basin is determined to be 0.35 m / s. Taking 0.8 days as the time interval and 35 months as the total recording period T, the hydrological element data and nutrient element data in the sub-sensitive water area C ij are obtained: including multiple data such as water level, flow velocity, flow rate, nitrogen, phosphorus, chlorophyll a, etc. Each sub-sensitive water area corresponds to a value of hydrological element data and nutrient element data.

[0176] Furthermore, the hydrological element data and nutrient element data in each sub-sensitive water area C ij within 35 months are time-averaged based on 0.8 days, and the data of each sub-sensitive water area C ij and the results after standardization are calculated (see Table 1). After the calculation is completed, the fluctuation values of the instantaneous values and time-averaged values of the data at each instantaneous moment under each 0.8-day are calculated. Based on the locations where algal blooms and eutrophication occurred in previous years, the corresponding reference sub-sensitive water areas of the sensitive water area are determined and used as the benchmark.

[0177] Table 1: Results of standardizing partial data of sub-sensitive water area C 85

[0178]

[0179] Then, the electronic device calculates the hydrological element sensitivity correlation S hh of each other sub-sensitive water area equivalent to the reference sub-sensitive water area according to the hydrological element data corresponding to each sub-sensitive water area within the preset time period. Figure 4 As shown in the figure, for the preset sensitive water area, according to the hydrological element sensitivity correlation S hh of each other sub-sensitive water area equivalent to the reference sub-sensitive water area, it shows an oval distribution. The lighter the color, the more sensitive it is, and the darker the color, the less sensitive it is. The range of the sensitive water area regarding the flow velocity from the reference point in the basin is determined according to the sensitivity threshold.

[0180] ​In addition, the electronic device also calculates the nutrient element sensitivity correlation S of each other sub-sensitive water area equivalent to the reference sub-sensitive water area according to the nutrient element data corresponding to each sub-sensitive water area within a preset time period. pp .

[0181] To further study the sensitivity direction of the nutrient element index distribution with respect to the flow velocity to the reference point, the electronic device calculates the hydrological and nutrient element sensitivity correlation S of each other sub-sensitive water area equivalent to the reference sub-sensitive water area according to the hydrological element data and nutrient element data corresponding to each sub-sensitive water area within a preset time period. hp . Such as Figure 5 shown is the distribution schematic diagram of the hydrological elements and nutrient sensitivity correlation corresponding to the preset sensitive water area of the embodiment. S hp The distribution of S hh is different and is affected by a more extensive sensitivity in the Y direction.

[0182] Then, according to the hydrological element sensitivity correlation, nutrient element sensitivity correlation, and hydrological and nutrient element sensitivity correlation of each other sub-sensitive water area equivalent to the reference sub-sensitive water area, the target sensitivity correlation of each other sub-sensitive water area relative to the reference sub-sensitive water area is calculated. The target sensitivity correlations are compared with a preset sensitivity correlation threshold. If the target sensitivity correlation is greater than the preset sensitivity correlation threshold, the other sub-sensitive water areas are determined as target sub-sensitive water areas. According to the position information of each target sub-sensitive water area in the preset sensitive water area, the target sensitive range corresponding to the preset sensitive water area is determined.

[0183] According to the sensitive water area dynamic recognition method, the target sensitive range corresponding to the preset sensitive water area delimited by this method is determined and compared with the actual situation in the subsequent period, and it is found that the situation basically coincides, showing high accuracy. In addition, due to the fast response characteristic of this method, the boundary of the sensitive water area can be dynamically adjusted as the real-time monitoring data is updated. This flexibility ensures that when the hydrological element data and nutrient element data change, the target sensitive range can reflect these changes in a timely manner, so as to realize the real-time monitoring of the water area environment.

[0184] The present invention basically realizes the dynamic recognition of sensitive water areas in a large-scale water area under the influence of water conservancy projects. The dynamic recognition method of the present invention establishes a direct relationship between hydrological elements and nutrient elements, effectively solves the problem of quickly and accurately dynamically recognizing sensitive water areas, can update the target sensitive range corresponding to the preset sensitive water area in real time according to the latest hydrological element data and nutrient element data, ensures the timeliness and accuracy of the recognition result, is less affected by environmental and human factors at the same time, improves the reliability of the recognition result, and effectively prevents and reduces events that may have a negative impact on the water area ecological environment.

[0185] In this embodiment, a dynamic recognition device for sensitive waters affected by water conservancy projects is further provided. This device is used to implement the above-mentioned embodiments and preferred implementation manners, and those that have been described will not be repeated. As used hereinafter, the term "module" can be a combination of software and / or hardware that realizes a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, implementation in hardware, or a combination of software and hardware is also possible and contemplated.

[0186] This embodiment provides a dynamic recognition device for sensitive waters affected by water conservancy projects. As Figure 6 shown, it includes:

[0187] A first acquisition module 301, configured to acquire a preset sensitive water area;

[0188] A generation module 302, configured to divide the preset sensitive water area to generate multiple sub-sensitive water areas;

[0189] A second acquisition module 303, configured to acquire the water area data corresponding to each sub-sensitive water area within a preset time period;

[0190] A determination module 304, configured to determine the target sensitive range corresponding to the preset sensitive water area according to the water area data corresponding to each sub-sensitive water area within a preset time period.

[0191] In some alternative implementation manners, the determination module 304 is specifically configured to determine a reference sub-sensitive water area from each sub-sensitive water area according to the water area data corresponding to each sub-sensitive water area within a preset time period; determine the relationship between each other sub-sensitive water area and the reference sub-sensitive water area according to the water area data corresponding to each sub-sensitive water area within a preset time period; the other sub-sensitive water areas are the sub-sensitive water areas other than the reference sub-sensitive water area among each sub-sensitive water area; determine the target sensitive range corresponding to the preset sensitive water area according to the relationship between each other sub-sensitive water area and the reference sub-sensitive water area.

[0192] In some alternative implementation manners, the water area data includes hydrological element data and nutrient element data; the determination module 304 is specifically configured to calculate the hydrological fluctuation data corresponding to each sub-sensitive water area at each preset moment within a preset time period according to the hydrological element data corresponding to each sub-sensitive water area within a preset time period; calculate the average hydrological fluctuation data corresponding to each sub-sensitive water area according to the hydrological fluctuation data corresponding to each sub-sensitive water area at each preset moment; calculate the nutrient fluctuation data corresponding to each sub-sensitive water area at each preset moment within a preset time period according to the nutrient element data corresponding to each sub-sensitive water area within a preset time period; calculate the average nutrient fluctuation data corresponding to each sub-sensitive water area according to the nutrient fluctuation data corresponding to each sub-sensitive water area at each preset moment; determine a reference sub-sensitive water area from each sub-sensitive water area according to the average hydrological fluctuation data and the average nutrient fluctuation data corresponding to each sub-sensitive water area.

[0193] In some alternative embodiments, the water area data includes hydrological element data and nutrient element data; the determining module 304 is specifically configured to calculate the hydrological element sensitivity correlation of each other sub-sensitive water area relative to the reference sub-sensitive water area according to the hydrological element data corresponding to each sub-sensitive water area within a preset time period; and / or calculate the nutrient element sensitivity correlation of each other sub-sensitive water area relative to the reference sub-sensitive water area according to the nutrient element data corresponding to each sub-sensitive water area within a preset time period; and / or calculate the hydrological and nutrient element sensitivity correlation of each other sub-sensitive water area relative to the reference sub-sensitive water area according to the hydrological element data and the nutrient element data corresponding to each sub-sensitive water area within a preset time period.

[0194] In some alternative embodiments, the determining module 304 is specifically configured to calculate the hydrological fluctuation data corresponding to each preset moment within a preset time period for each sub-sensitive water area according to the hydrological element data corresponding to each sub-sensitive water area; and calculate the hydrological element sensitivity correlation of each other sub-sensitive water area relative to the reference sub-sensitive water area according to the hydrological fluctuation data corresponding to each preset moment within a preset time period for each sub-sensitive water area.

[0195] In some alternative embodiments, the determining module 304 is specifically configured to calculate the hydrological element sensitivity correlation of each other sub-sensitive water area relative to the reference sub-sensitive water area according to the following formula, including:

[0196]

[0197] where S hh (xr, yr, dx, dy) represents the hydrological element sensitivity correlation of the other sub-sensitive water area relative to the reference sub-sensitive water area, Sh'(xr, yr, t) represents the hydrological fluctuation data corresponding to each preset moment of the reference sub-sensitive water area; Sh'(xr + dx, yr + dy, t) represents the hydrological fluctuation data corresponding to each preset moment of the other sub-sensitive water area, where (xr, yr) represents the position information of the reference sub-sensitive water area, and (xr + dx, yr + dy) represents the position information of the other sub-sensitive water area.

[0198] In some alternative embodiments, the determining module 304 is specifically configured to calculate the hydrological fluctuation data corresponding to each preset moment within a preset time period for each sub-sensitive water area according to the hydrological element data corresponding to each sub-sensitive water area within the preset time period; calculate the nutrient fluctuation data corresponding to each preset moment within the preset time period for each sub-sensitive water area according to the nutrient element data corresponding to each sub-sensitive water area within the preset time period; and calculate the hydrological and nutrient element sensitivity correlation of each other sub-sensitive water area relative to the reference sub-sensitive water area according to the hydrological fluctuation data and nutrient fluctuation data corresponding to each sub-sensitive water area within the preset time period.

[0199] In some alternative embodiments, the determining module 304 is specifically configured to calculate the hydrological and nutrient element sensitivity correlation of each other sub-sensitive water area relative to the reference sub-sensitive water area according to the following formula, including:

[0200]

[0201] where S hp (xr, yr, dx, dy) represents the hydrological and nutrient element sensitivity correlation of each other sub-sensitive water area relative to the reference sub-sensitive water area, Sp'(xr, yr, t) represents the nutrient fluctuation data corresponding to each preset moment of the reference sub-sensitive water area, Sh'(xr + dx, yr + dy, t) represents the hydrological fluctuation data corresponding to each other sub-sensitive water area at each preset moment, where (xr, yr) represents the position information of the reference sub-sensitive water area, and (xr + dx, yr + dy) represents the position information of the other sub-sensitive water area.

[0202] In some alternative embodiments, the relationship between each other sub-sensitive water area and the reference sub-sensitive water area includes: the hydrological element sensitivity correlation of each other sub-sensitive water area relative to the reference sub-sensitive water area, the nutrient element sensitivity correlation of each other sub-sensitive water area relative to the reference sub-sensitive water area, and the hydrological and nutrient element sensitivity correlation of each other sub-sensitive water area relative to the reference sub-sensitive water area. The determining module 304 is specifically configured to calculate the target sensitivity correlation of each other sub-sensitive water area relative to the reference sub-sensitive water area according to the hydrological element sensitivity correlation, nutrient element sensitivity correlation, and hydrological and nutrient element sensitivity correlation of each other sub-sensitive water area relative to the reference sub-sensitive water area; compare each target sensitivity correlation with a preset sensitivity correlation threshold; if the target sensitivity correlation is greater than the preset sensitivity correlation threshold, then determine the other sub-sensitive water area as the target sub-sensitive water area; and determine the target sensitive range corresponding to the preset sensitive water area according to the position information of each target sub-sensitive water area in the preset sensitive water area.

[0203] The further function descriptions of the above-mentioned various modules and units are the same as those in the corresponding above-mentioned embodiments, and will not be repeated here.

[0204] In this embodiment, the dynamic recognition device for sensitive waters affected by water conservancy projects is presented in the form of functional units. Here, the unit refers to an ASIC (Application Specific Integrated Circuit) circuit, a processor and a memory that execute one or more software or fixed programs, and / or other devices that can provide the above functions.

[0205] An embodiment of the present invention also provides an electronic device having the above-mentioned Figure 6 dynamic recognition device for sensitive waters affected by water conservancy projects.

[0206] Please refer to Figure 7 , Figure 7 which is a schematic structural diagram of an electronic device provided by an optional embodiment of the present invention. As shown in Figure 7 , the electronic device includes: one or more processors 10, a memory 20, and interfaces for connecting various components, including a high-speed interface and a low-speed interface. Each component communicates with each other using different buses and can be installed on a common motherboard or installed in other ways as needed. The processor can process instructions executed within the electronic device, including instructions stored in the memory or on the memory to display graphical information of the GUI on an external input / output device (such as a display device coupled to the interface). In some optional embodiments, if necessary, multiple processors and / or multiple buses can be used together with multiple memories and multiple memories. Similarly, multiple electronic devices can be connected, and each device provides some necessary operations (for example, as a server array, a set of blade servers, or a multi-processor system). Figure 7 In

[0207]

[0208]

[0209] Among them, the memory 20 stores instructions executable by at least one processor 10, so that at least one processor 10 executes the method shown in the above embodiment.

[0209] The memory 20 may include a program storage area and a data storage area. Among them, the program storage area can store an operating system and application programs required for at least one function; the data storage area can store data created according to the use of the electronic device, etc. In addition, the memory 20 may include a high-speed random access memory, and may also include a non-transitory memory, such as at least one magnetic disk storage device, a flash memory device, or other non-transitory solid-state storage devices. In some alternative embodiments, the memory 20 may optionally include a memory remotely provided with respect to the processor 10, and these remote memories can be connected to the electronic device through a network. Examples of the above-mentioned network include but are not limited to the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0210] The memory 20 may include a volatile memory, such as a random access memory; the memory may also include a non-volatile memory, such as a flash memory, a hard disk, or a solid-state drive; the memory 20 may further include a combination of the above types of memories.

[0211] The electronic device further includes an input device 30 and an output device 40. The processor 10, the memory 20, the input device 30, and the output device 40 can be connected through a bus or other means. Figure 7 Taking connection through a bus as an example.

[0212] The input device 30 can receive input digital or character information, and generate key signal inputs related to the user settings and function controls of the electronic device, such as a touch screen, a keypad, a mouse, a trackpad, a touchpad, a pointing stick, one or more mouse buttons, a trackball, a joystick, etc. The output device 40 may include a display device, an auxiliary lighting device (such as an LED), and a haptic feedback device (such as a vibration motor), etc. The above-mentioned display device includes but is not limited to a liquid crystal display, a light-emitting diode, a display, and a plasma display. In some alternative embodiments, the display device may be a touch screen.

[0213] Embodiments of the present invention also provide a computer-readable storage medium. The methods according to the embodiments of the present invention can be implemented in hardware, firmware, or be implemented as computer code that can be recorded on a storage medium, or be implemented as computer code that is originally stored in a remote storage medium or a non-transitory machine-readable storage medium and downloaded through a network and will be stored in a local storage medium, so that the methods described herein can be stored as such software processing on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. Among them, the storage medium can be a magnetic disk, an optical disk, a read-only memory, a random access memory, a flash memory, a hard disk, or a solid-state drive, etc.; further, the storage medium can also include a combination of the above types of memories. It can be understood that a computer, a processor, a microprocessor controller, or programmable hardware includes a storage component that can store or receive software or computer code. When the software or computer code is accessed and executed by the computer, the processor, or the hardware, the methods shown in the above embodiments are implemented.

[0214] A part of the present invention can be applied as a computer program product, for example, computer program instructions. When executed by a computer, through the operation of the computer, the methods and / or technical solutions according to the present invention can be invoked or provided. Those skilled in the art should be able to understand that the forms in which computer program instructions exist in a computer-readable medium include, but are not limited to, source files, executable files, installation package files, etc. Correspondingly, the ways in which computer program instructions are executed by a computer include, but are not limited to: the computer directly executes the instruction, or the computer compiles the instruction and then executes the corresponding compiled program, or the computer reads and executes the instruction, or the computer reads and installs the instruction and then executes the corresponding installed program. Herein, the computer-readable medium can be any available computer-readable storage medium or communication medium accessible by the computer.

[0215] Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art can make various modifications and variations without departing from the spirit and scope of the present invention, and such modifications and variations all fall within the scope defined by the appended claims.

Claims

1. A method for dynamically identifying sensitive water areas under the influence of water conservancy projects, characterized in that: The method comprises: Obtain preset sensitive water areas; Dividing the preset sensitive water area to generate multiple sub-sensitive water areas; Obtaining water area data corresponding to each of the sub-sensitive water areas within a preset time period; Determine the target sensitive range corresponding to the preset sensitive water area according to the water area data corresponding to each of the sub-sensitive water areas within the preset time period; The step of determining the target sensitive range corresponding to the preset sensitive water area according to the water area data corresponding to each of the sub-sensitive water areas within the preset time period includes: determining a reference sub-sensitive water area from each of the sub-sensitive water areas according to the water area data corresponding to each of the sub-sensitive water areas within the preset time period; determining, according to the water area data corresponding to each of the sub-sensitive water areas within the preset time period, the relationship between each of the other sub-sensitive water areas and the reference sub-sensitive water area; the other sub-sensitive water areas are sub-sensitive water areas in each of the sub-sensitive water areas except the reference sub-sensitive water area; Determining the target sensitive range corresponding to the preset sensitive waters according to the relationship between each of the other sub-sensitive waters and the reference sub-sensitive waters; The water area data includes hydrological element data and nutrient element data; and determining a reference sub-sensitive water area from each of the sub-sensitive water areas according to the water area data corresponding to each of the sub-sensitive water areas within the preset time period includes: Calculating the hydrological fluctuation data corresponding to each preset time of each sub-sensitive water area within the preset time period according to the hydrological element data corresponding to each sub-sensitive water area within the preset time period; Calculating average hydrological fluctuation data corresponding to each of the sub-sensitive waters according to the hydrological fluctuation data corresponding to each of the sub-sensitive waters at each of the preset moments; Calculate the nutrient fluctuation data corresponding to each preset time of each sub-sensitive water area within the preset time period according to the nutrient element data corresponding to each sub-sensitive water area within the preset time period; Calculate the average nutrient fluctuation data corresponding to each of the sub-sensitive waters according to the nutrient fluctuation data corresponding to each of the sub-sensitive waters at each of the preset moments; The reference sub-sensitive water area is determined from each of the sub-sensitive water areas according to the average hydrological fluctuation data and the average nutrient fluctuation data corresponding to each of the sub-sensitive water areas.

2. The method according to claim 1, characterized in that The determining, according to the water area data corresponding to each of the sub-sensitive water areas within the preset time period, the relationship between each other sub-sensitive water area and the reference sub-sensitive water area comprises: Calculating the hydrological element sensitivity correlation of each of the other sub-sensitive waters relative to the reference sub-sensitive waters according to the hydrological element data corresponding to each of the sub-sensitive waters within the preset time period; and / or, Calculating the nutrient sensitivity correlation of each of the other sub-sensitive waters relative to the reference sub-sensitive waters according to the nutrient data corresponding to each of the sub-sensitive waters within the preset time period; and / or, The hydrological and nutrient sensitivity correlations of each of the other sub-sensitive waters relative to the reference sub-sensitive waters are calculated based on the hydrological element data and the nutrient element data corresponding to each of the sub-sensitive waters within the preset time period.

3. The method according to claim 2, characterized in that The calculating, according to the hydrological element data corresponding to each of the sub-sensitive waters within the preset time period, the hydrological element sensitivity correlation of each of the other sub-sensitive waters relative to the reference sub-sensitive waters comprises: Calculating the hydrological fluctuation data corresponding to each preset time of each sub-sensitive water area within the preset time period according to the hydrological element data corresponding to each sub-sensitive water area within the preset time period; The hydrological element sensitivity correlation of each of the other sub-sensitive waters relative to the reference sub-sensitive waters is calculated according to the hydrological fluctuation data corresponding to each preset time in each of the sub-sensitive waters within the preset time period.

4. The method according to claim 3, characterized in that The hydrological element sensitivity correlation of each of the other sensitive sub-water areas relative to the reference sensitive sub-water area is calculated according to the following formula, including: ， in, Indicates the sensitivity correlation of the hydrological elements of the other sensitive sub-water areas relative to the reference sensitive sub-water area, Indicates the hydrological fluctuation data corresponding to the reference sub-sensitive water area at each preset time; represents the hydrological fluctuation data corresponding to the other sub-sensitive waters at each preset time, wherein: represents the location information of the reference sub-sensitive water area, Indicates the location information of the other sub-sensitive waters.

5. The method according to claim 2, characterized in that: The calculating, according to the hydrological element data and the nutrient element data corresponding to each of the sub-sensitive waters within the preset time period, the hydrological and nutrient element sensitivity correlation of each of the other sub-sensitive waters relative to the reference sub-sensitive waters comprises: Calculating the hydrological fluctuation data corresponding to each preset time of each sub-sensitive water area within the preset time period according to the hydrological element data corresponding to each sub-sensitive water area within the preset time period; Calculate the nutrient fluctuation data corresponding to each preset time of each sub-sensitive water area within the preset time period according to the nutrient element data corresponding to each sub-sensitive water area within the preset time period; The sensitivity correlation of the hydrological and nutrient elements of each of the other sub-sensitive waters relative to the reference sub-sensitive waters is calculated based on the hydrological fluctuation data and the nutrient fluctuation data corresponding to each of the sub-sensitive waters within the preset time period.

6. The method according to claim 5, characterized in that The sensitivity correlation of hydrological and nutrient elements of each of the other sensitive sub-water areas relative to the reference sensitive sub-water area is calculated according to the following formula, including: ， in, Indicates the sensitivity correlation of hydrological and nutrient elements of each of the other sensitive sub-water areas relative to the reference sensitive sub-water area, represents the nutrient fluctuation data corresponding to the reference sub-sensitive water area at each preset time, represents the hydrological fluctuation data corresponding to each of the other sub-sensitive waters at each preset time, wherein: represents the location information of the reference sub-sensitive water area, Indicates the location information of the other sub-sensitive waters.

7. The method according to claim 1, characterized in that The relationship between each of the other sub-sensitive waters and the reference sub-sensitive waters includes: the sensitivity correlation of hydrological elements of each of the other sub-sensitive waters relative to the reference sub-sensitive waters, the sensitivity correlation of nutrient elements of each of the other sub-sensitive waters relative to the reference sub-sensitive waters, and the sensitivity correlation of hydrological and nutrient elements of each of the other sub-sensitive waters relative to the reference sub-sensitive waters. Determining the target sensitive range corresponding to the preset sensitive waters according to the relationship between each of the other sub-sensitive waters and the reference sub-sensitive waters includes: Calculate the target sensitivity correlation of each of the other sensitive sub-waters relative to the reference sub-sensitive waters according to the hydrological element sensitivity correlation, the nutrient element sensitivity correlation and the hydrological and nutrient element sensitivity correlation of each of the other sensitive sub-waters relative to the reference sub-sensitive waters; Comparing each of the target sensitivity correlations with a preset sensitivity correlation threshold; If the target sensitive relevance is greater than the preset sensitive relevance threshold, determining the other sub-sensitive water area as the target sub-sensitive water area; The target sensitive range corresponding to the preset sensitive waters is determined according to the position information of each target sub-sensitive waters in the preset sensitive waters.

8. A dynamic identification device for sensitive water areas under the influence of water conservancy projects, characterized in that: The device comprises: The first acquisition module is used to acquire preset sensitive waters; A generating module, used for dividing the preset sensitive water area to generate a plurality of sub-sensitive water areas; A second acquisition module is used to acquire water area data corresponding to each of the sub-sensitive water areas within a preset time period; a determination module, configured to determine a target sensitive range corresponding to the preset sensitive water area according to the water area data corresponding to each of the sub-sensitive water areas within the preset time period; wherein, the determination of the target sensitive range corresponding to the preset sensitive water area according to the water area data corresponding to each of the sub-sensitive water areas within the preset time period comprises: determining a reference sub-sensitive water area from each of the sub-sensitive water areas according to the water area data corresponding to each of the sub-sensitive water areas within the preset time period; determining a relationship between each of the other sub-sensitive water areas and the reference sub-sensitive water area according to the water area data corresponding to each of the sub-sensitive water areas within the preset time period; the other sub-sensitive water areas are sub-sensitive water areas other than the reference sub-sensitive water area in each of the sub-sensitive water areas; determining the target sensitive range corresponding to the preset sensitive water area according to the relationship between each of the other sub-sensitive water areas and the reference sub-sensitive water area; wherein the water area data comprises hydrological element data and nutrient element data; The reference sub-sensitive water area is determined from each of the sub-sensitive water areas according to the water area data corresponding to the sub-sensitive water area within the preset time period, including: calculating the hydrological fluctuation data corresponding to each of the sub-sensitive water areas at each preset moment within the preset time period according to the hydrological element data corresponding to each of the sub-sensitive water areas within the preset time period; calculating the average hydrological fluctuation data corresponding to each of the sub-sensitive water areas at each preset moment according to the hydrological fluctuation data corresponding to each of the sub-sensitive water areas at each preset moment; calculating the nutrient fluctuation data corresponding to each of the sub-sensitive water areas at each preset moment within the preset time period according to the nutrient element data corresponding to each of the sub-sensitive water areas within the preset time period; calculating the average nutrient fluctuation data corresponding to each of the sub-sensitive water areas according to the nutrient fluctuation data corresponding to each of the sub-sensitive water areas at each preset moment; and determining the reference sub-sensitive water area from each of the sub-sensitive water areas according to the average hydrological fluctuation data and the average nutrient fluctuation data corresponding to each of the sub-sensitive water areas.

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