Lake ecological water level calculation method, device and system and storage medium

Abstract

The invention provides a lake ecological water level calculation method, device and system and a storage medium, and relates to the technical field of water resource regulation and control. The method comprises the following steps: obtaining the water turbidity of a target lake and the biomass of all submerged plants existing in the target lake; the water depth required by growth is calculated; dividing the target lake into habitat units; calculating the actual water depth of each habitat unit; calculating the plant coverage by using the water depth required for growth and the actual water depth; and obtaining an ecological water level range and an annual water level regulation and control range based on the plant coverage and taking the ranges as lake ecological water level results. By constructing the growth-illumination model and the underwater illumination prediction model of the submerged plants, the monthly water level accurate regulation and control based on biological requirements are realized, and by subdividing habitat units and analyzing ecological requirements, the growth conditions of the plants can be optimized, the water quality and biological diversity of a lake ecosystem can be improved, and the water quality and the biological diversity of the lake ecosystem can be improved. And the scientificity and systematicness of lake management are enhanced.

Description

Technical Field

[0001] The present invention relates to the technical field of water resource regulation, and more specifically, to a lake ecological water level calculation method, device, system and storage medium. Background Art

[0002] Water level control technology in lake ecosystems is one of the key technologies in the field of ecological restoration and water resources management. This technology mainly focuses on optimizing the lake environment by adjusting the water level to maintain biodiversity and improve water quality. Proper regulation of water levels not only affects the growth of aquatic plants in lakes, but also plays a decisive role in the growth and reproduction of submerged plant communities. Submerged plants refer to aquatic plants whose stems and leaves are all submerged in water, whose roots grow in or not in mud, and whose sexual reproductive parts can sink, float or stand on the water surface, such as Potamogeton crispus L., Ceratophyllum demersumm L. and Myriophyllum spicatum L. Submerged plants occupy the key interface of the aquatic ecosystem and have the closest relationship with water. They have an important influence on the physical (light, temperature and bottom) and chemical (dissolved oxygen, pH and nutrition) properties of the water body and have many important functions. The restoration of submerged plant communities is an important and effective means of lake ecological restoration. Therefore, it is crucial to ensure the healthy growth of these plants in the lake ecosystem.

[0003] The growth of submerged plants is affected by many factors, including nutrition, water temperature, and fish. Among them, light is the energy source for photosynthesis of submerged plants. It is generally believed that if the underwater light is less than 1% of natural light, submerged plants cannot settle and grow. Insufficient underwater light is often the main reason for the disappearance of submerged plants. Water level regulation can directly change the underwater light conditions, which is conducive to the recovery of submerged plant communities.

[0004] Existing lake ecological water level control technologies are mainly carried out by establishing the relationship between lake water level and plant coverage. These technologies usually include collecting data on the lake water level-area relationship, estimating the plant distribution area under different water levels, and calculating the impact of water level on plant community coverage. In addition, existing methods also adjust water levels by analyzing different growth stages of plants (such as germination, maturity, etc.), aiming to create a water level change process line that supports the health of the entire ecosystem.

[0005] However, existing technologies have some significant limitations in accurately regulating the water level required for the growth of submerged plants. First, existing methods can only measure transparency and use twice the depth of transparency as the maximum growth depth of submerged plants. This method is too rough and cannot accurately reflect the specific water level requirements of different types of submerged plants during their growth cycle. In addition, this method fails to fully consider the complex effects of water temperature, light intensity and other environmental factors on the growth of submerged plants, which may result in the water level control scheme failing to optimize plant growth conditions, thereby affecting the health and stability of the entire aquatic ecosystem.

[0006] In summary, although the existing lake ecological water level control technology can support the restoration and management of lake ecosystems to a certain extent, there is still much room for improvement in terms of refined management and adaptation to environmental changes. The rough estimation of the ecological needs of submerged plants and the neglect of key environmental variables have limited the ability of these technologies to achieve the expected ecological restoration goals in practical applications. Therefore, it is particularly urgent and necessary to develop more accurate and environmentally adaptable water level control strategies. Summary of the invention

[0007] In view of this, in order to solve the above technical problems, the present invention provides a method for calculating the ecological water level of a lake, comprising:

[0008] The water turbidity of the target lake and the biomass of all submerged plants existing in the target lake are obtained; and based on the water turbidity, an underwater light prediction model is used to calculate the water depth required for the growth of the target submerged plants in each time period; the target submerged plants include at least one of autumn-sprouting submerged plants, spring-sprouting rosette-type submerged plants, spring-sprouting upright-type submerged plants, and spring-sprouting canopy-type submerged plants;

[0009] Dividing the target lake to obtain a plurality of habitat units;

[0010] Calculating the actual water depth of each habitat unit in the target lake; and calculating the plant coverage of the target submerged plant using the required growth water depth and the actual water depth;

[0011] Based on the plant cover, the ecological water level range and the annual water level control range corresponding to the target submerged plants are obtained, and the ecological water level range and the annual water level control range are used as the lake ecological water level results.

[0012] Preferably, the underwater illumination prediction model is expressed as:

[0013]

[0014] in, Represents the illumination ratio; IB I represents underwater illumination; A represents natural light; Z M represents the required water depth for the growth of the target submerged plant; Turb represents the water turbidity of the target lake; B represents the biomass of all existing submerged plants in the target lake.

[0015] Preferably, the method of calculating the water depth required for the growth of the target submerged plant in each time period based on the water turbidity by using an underwater light prediction model includes:

[0016] According to the growth-light model, the light ratio corresponding to the target submerged plant when the absolute growth rate is 0 is calculated, and the light ratio is used as the minimum light requirement;

[0017] Based on the underwater light prediction model, according to the minimum light requirement and the biomass of all existing submerged plants, the water depth required to meet the growth of the target submerged plants is calculated for each time period.

[0018] Preferably, the expression of the growth-light model corresponding to the autumn germination submerged plants includes:

[0019]

[0020]

[0021] Among them, B1, B2 and B3 represent the biomass of the autumn-germinating submerged plants in the seedling stage from September to November, the slow growth period from December to February and the fast growth period from March to May respectively; and They represent the light ratios of the autumn germination submerged plants in the seedling stage from September to November, the slow growth period from December to February, and the fast growth period from March to May; and They represent the underwater light required by the autumn germination submerged plants in the seedling stage from September to November, the slow growth period from December to February, and the fast growth period from March to May; and represents the natural light required by the autumn germination submerged plants in the seedling stage from September to November, the slow growth period from December to February, and the rapid growth period from March to May; T1, T2, and T3 represent the growth days of the autumn germination submerged plants in the seedling stage from September to November, the slow growth period from December to February, and the rapid growth period from March to May, respectively;

[0022] The expression of the growth-light model corresponding to the spring germination rosette-type submerged plants includes:

[0023]

[0024] Among them, B4 and B5 represent the biomass of the spring-germinating rosette-type submerged plants in the slow growth period of March to May and the fast growth period of June to August, respectively; and They respectively represent the light ratios of the spring germination rosette-type submerged plants in the slow growth period of March to May and the fast growth period of June to August; and They represent the underwater light required by the spring germination rosette-type submerged plants in the slow growth period of March to May and the fast growth period of June to August respectively; and represents the natural light required by the spring germination rosette submerged plants in the slow growth period of March to May and the rapid growth period of June to August; T4 and T5 represent the growth days of the spring germination rosette submerged plants in the slow growth period of March to May and the rapid growth period of June to August respectively;

[0025] The expression of the growth-light model corresponding to the upright submerged plants germinating in spring includes:

[0026]

[0027] Among them, B6 and B7 represent the biomass of the spring-germinating upright submerged plants in the slow growth period of March to May and the fast growth period of June to August, respectively; and They respectively represent the light ratios of the spring germination upright submerged plants in the slow growth period of March to May and the fast growth period of June to August; and They represent the underwater light required by the upright submerged plants that germinate in spring during the slow growth period of March to May and the fast growth period of June to August respectively; and represents the natural light required by the spring-germinating upright submerged plants in the slow growth period of March to May and the rapid growth period of June to August; T6 and T7 represent the growth days of the spring-germinating upright submerged plants in the slow growth period of March to May and the rapid growth period of June to August respectively;

[0028] The expression of the growth-light model corresponding to the spring germination canopy submerged plants includes:

[0029]

[0030] Among them, B8 and B9 represent the biomass of the spring-germinating canopy-type submerged plants in the slow growth period of March to May and the fast growth period of June to August, respectively; and They respectively represent the light ratios of the spring germinating canopy-type submerged plants in the slow growth period of March to May and the fast growth period of June to August; and They represent the underwater light required by the spring germinating canopy submerged plants in the slow growth period of March to May and the fast growth period of June to August respectively; and It represents the natural light required by the spring-germinating canopy-type submerged plants during the slow growth period of March to May and the rapid growth period of June to August; T8 and T9 represent the growth days of the spring-germinating canopy-type submerged plants during the slow growth period of March to May and the rapid growth period of June to August, respectively.

[0031] Preferably, the minimum light requirements for autumn germination submerged plants include:

[0032] The stated minimum light requirement for September, October and November is 0.60%;

[0033] The minimum light requirement in December, and in January and February of the following year is 2.63%;

[0034] The minimum light requirement for March, April and May of the second year is 0.71%;

[0035] The minimum light requirements for the spring germination rosette submerged plants include:

[0036] The stated minimum light requirement for March, April, May, June, July and August is 1.30%;

[0037] The minimum light requirements for the spring germination of upright submerged plants include:

[0038] The stated minimum light requirement for March, April and May is 1.63%;

[0039] The stated minimum light requirement for June, July and August is 1.50%;

[0040] The minimum light requirements for spring germination canopy submerged plants include:

[0041] The stated minimum light requirement for March, April and May is 2.03%;

[0042] The stated minimum light requirement for June, July and August is 4.26%.

[0043] Preferably, calculating the actual water depth of each habitat unit in the target lake; and calculating the plant cover of the target submerged plant using the required growth water depth and the actual water depth, including:

[0044] According to the lake bottom elevation and the water surface elevation, the actual water depth of each habitat unit in the target lake is calculated; wherein the actual water depth of each habitat unit is calculated by the following relationship:

[0045] Z B =Z W -Z M ;

[0046] Among them, Z B represents the elevation of the lake bottom; Z W represents the water surface elevation; Z M represents the actual water depth stated;

[0047] Compare the actual water depth of each habitat unit in the target lake with the required water depth for the growth of the target submerged plant, and take the number of habitat units corresponding to the actual water depth in the target lake that is less than the required water depth as the number of water depth units that meet the standard for the target submerged plant;

[0048] Based on the total number of the habitat units in the target lake and the number of units meeting the water depth standard, the plant coverage of the target submerged plants is calculated; wherein the calculation formula of the plant coverage is:

[0049]

[0050] Among them, C Mac represents the plant coverage of the target submerged macrophyte; N Mac Represents the number of water depth units that meet the standard for the target submerged plant; N Tot Represents the total number of habitat units in the target lake.

[0051] Preferably, obtaining the ecological water level range and annual water level control range corresponding to the target submerged plants based on the plant coverage includes:

[0052] Based on the preset plant restoration target corresponding to the target submerged plant, determine the maximum water level and the minimum water level of the target submerged plant that achieve the plant cover under the preset plant restoration target through the plant cover of the target submerged plant, and use the maximum water level and the minimum water level as the ecological water level range of the target submerged plant;

[0053] Taking the year as the scope, the ecological water level ranges of each period are connected, and the annual ecological water level process line of the target submerged plant under the preset plant restoration target is drawn, and the annual ecological water level process line is used as the annual water level control range.

[0054] In addition, in order to solve the above problems, the present invention also provides a lake ecological water level calculation device, comprising:

[0055] A calculation module is used to obtain the water turbidity of a target lake and the biomass of all submerged plants existing in the target lake; and based on the water turbidity, an underwater light prediction model is used to calculate the water depth required for the growth of the target submerged plants in each time period; the target submerged plants include at least one of autumn-sprouting submerged plants, spring-sprouting rosette-type submerged plants, spring-sprouting upright-type submerged plants, and spring-sprouting canopy-type submerged plants;

[0056] A division module, used for dividing the target lake into multiple habitat units;

[0057] The calculation module is further used to calculate the actual water depth of each habitat unit in the target lake; and calculate the plant coverage of the target submerged plant using the growth required water depth and the actual water depth;

[0058] A control module is used to obtain the ecological water level range and annual water level control range corresponding to the target submerged plants based on the plant cover, and use the ecological water level range and the annual water level control range as the lake ecological water level results.

[0059] In addition, to solve the above problems, the present invention also provides a lake ecological water level calculation system, including a memory and a processor, wherein the memory stores a lake ecological water level calculation program, and the processor runs the lake ecological water level calculation program so that the lake ecological water level calculation system executes the lake ecological water level calculation method as described above.

[0060] In addition, to solve the above problems, the present invention also provides a computer-readable storage medium on which a lake ecological water level calculation program is stored. When the lake ecological water level calculation program is executed by a processor, the lake ecological water level calculation method as described above is implemented.

[0061] The present invention constructs a growth-light model and an underwater light prediction model for different submerged plants in different growth periods, and can accurately regulate the water level on a monthly basis according to the growth goals of the plants. This method allows water level management to be finely adjusted for different regions and time periods through detailed habitat unit division and ecological demand analysis, thereby directly optimizing the growth conditions of submerged plants and the overall health of the ecosystem. By dynamically adjusting the water level to adapt to seasonal changes and biomass changes, this method not only improves the self-purification capacity and water quality of the lake ecosystem, but also enhances biodiversity protection and overall ecological service functions, effectively improving the scientificity and systematic nature of lake management, and greatly enhancing the accuracy and effectiveness of lake ecological restoration and water resources management. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] Figure 1 It is a structural schematic diagram of the hardware operating environment involved in the embodiment of the lake ecological water level calculation method of the present invention;

[0063] Figure 2 Schematic diagram of the flow chart of Example 1 of the method for calculating the ecological water level of a lake of the present invention;

[0064] Figure 3 This is a schematic diagram of a detailed process of step S100 in Example 2 of the method for calculating the ecological water level of a lake of the present invention;

[0065] Figure 4 This is a schematic diagram of a detailed process of step S300 in Example 3 of the lake ecological water level calculation method of the present invention;

[0066] Figure 5 This is a schematic diagram of a detailed process of step S400 in Example 4 of the lake ecological water level calculation method of the present invention;

[0067] Figure 6 Schematic diagram of module connection of the lake ecological water level calculation device in an embodiment of the present invention.

[0068] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0069] The embodiments of the present invention are described in detail below, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions.

[0070] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, the meaning of "plurality" is two or more, unless otherwise clearly and specifically defined.

[0071] In the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", "connected", "fixed" and the like should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0072] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0073] like Figure 1 , which is a schematic diagram of the structure of the hardware operating environment of the terminal involved in the embodiment of the present invention.

[0074] The lake ecological water level calculation system of the embodiment of the present invention can be a PC, or a mobile terminal device such as a smart phone, a tablet computer or a portable computer. The lake ecological water level calculation system may include: a processor 1001, such as a CPU, a network interface 1004, a user interface 1003, a memory 1005 and a communication bus 1002. Among them, the communication bus 1002 is used to realize the connection and communication between these components. The user interface 1003 may include a display screen, an input unit such as a keyboard, and a remote control. The user interface 1003 may also include a standard wired interface and a wireless interface. The network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a WI-FI interface). The memory 1005 may be a high-speed RAM memory or a stable memory, such as a disk memory. The memory 1005 may also be a storage device independent of the aforementioned processor 1001. Optionally, the lake ecological water level calculation system may also include an RF (Radio Frequency) circuit, an audio circuit, a WiFi module, and the like. In addition, the lake ecological water level calculation system can also be configured with other sensors such as gyroscopes, barometers, hygrometers, thermometers, infrared sensors, etc., which will not be described here.

[0075] Those skilled in the art will understand that Figure 1 The lake ecological water level calculation system shown in the figure does not constitute a limitation thereof, and may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently. Figure 1 As shown, the memory 1005 as a computer-readable storage medium may include an operating system, a data interface control program, a network connection program, and a lake ecological water level calculation program.

[0076] In summary, the present invention constructs a submerged plant growth-light model and an underwater light prediction model, which can accurately control the water level month by month according to the plant growth target. By subdividing the habitat units and analyzing the ecological needs of the lake, the water level can be managed in a refined manner, directly optimizing the growth conditions of submerged plants and the health of the ecosystem. This method dynamically adjusts the water level to respond to seasonal changes and biomass adjustments, improves the self-purification capacity of the lake, water quality and biodiversity protection, and greatly improves the scientificity and efficiency of lake ecological restoration and water resources management.

[0077] Embodiment 1:

[0078] Reference Figure 2 Embodiment 1 of the present invention provides a method for calculating the ecological water level of a lake, comprising:

[0079] Step S100, obtaining the water turbidity of the target lake and the biomass of all submerged plants existing in the target lake; and, based on the water turbidity, using an underwater light prediction model to calculate the water depth that meets the growth requirements of the target submerged plants in each time period; the target submerged plants include at least one of autumn-sprouting submerged plants, spring-sprouting rosette-type submerged plants, spring-sprouting upright-type submerged plants, and spring-sprouting canopy-type submerged plants;

[0080] In the above steps, the water turbidity and the biomass of all existing submerged plants can be obtained through field surveys and measurements. Specifically, preliminary data can also be obtained through field surveys and simulated in combination with photosynthesis models and underwater light intensity data.

[0081] As mentioned above, the target submerged plants, also called underwater plants or benthic plants, are plants that grow in water bodies with a major part or all of them located below the water surface.

[0082] The target submerged plants include at least one of autumn-sprouting submerged plants, spring-sprouting rosette-type submerged plants, spring-sprouting upright-type submerged plants, and spring-sprouting canopy-type submerged plants;

[0083] Submerged plants are a type of plants that live in water bodies and have important ecological value to aquatic ecosystems. According to the germination season and growth habits, submerged plants can be divided into autumn germination submerged plants, spring germination rosette submerged plants, spring germination upright submerged plants and spring germination canopy submerged plants.

[0084] (1) Autumn-germinating submerged plants: These plants begin to germinate in autumn, grow through the winter, and reach a growth peak in the spring. For example, Potamogeton crispus L. is a typical autumn-germinating submerged plant. It germinates in autumn and grows over the winter. Most plants wither and die in summer. The stone buds of Potamogeton crispus begin to germinate in autumn, grow faster in October-November and March-April, and bloom and fruit from April to July.

[0085] (2) Spring-germinating rosette-type submerged plants: These plants germinate in the spring and form a rosette-type growth habit. Rosette-type submerged plants usually have short stems with leaves arranged in a rosette shape at the top of the stem, such as Vallisnerianatans.

[0086] (3) Spring-germinating upright submerged plants: These plants germinate in spring, with stems growing upright and reaching the surface of the water or close to it. They usually have a strong ability to grow upward, such as Hydrilla verticillata.

[0087] (4) Spring-germinating canopy-type submerged plants: These plants germinate in spring and can form a dense canopy on the water surface. Canopy-type submerged plants grow quickly to the water surface by elongating their stems to obtain sufficient light, such as Myriophyllum spicatum.

[0088] These plants play a vital role in maintaining the health of aquatic ecosystems, providing biodiversity and improving water quality. At the same time, their growth can also serve as an indicator of the health of the water environment. It is very important to understand and utilize the ecological functions of these plants when conducting lake management and ecological restoration.

[0089] The time period mentioned above may be a predefined time interval, for example, a natural week, a natural month, a natural year, or a period of a specific number of days. For example, in this embodiment, a month is used as the time period.

[0090] The target lake mentioned above is the lake that needs to be analyzed, calculated and studied.

[0091] In the above, turbidity data of lake water is collected, which affects the light penetration in the water, and thus affects the photosynthesis and growth of plants. It ensures the accuracy of light prediction in the calculation model and provides the necessary input parameters for subsequent models.

[0092] The turbidity of water bodies can be measured directly through water quality monitoring equipment or by obtaining historical data from environmental protection departments.

[0093] As mentioned above, the calculation of the required water depth for growth in each time period needs to be combined with the underwater light prediction model to calculate the minimum water depth required for plant growth in different time periods (i.e., the water depth that can ensure sufficient light to reach the bottom). For example, the required water depth for growth is calculated on a monthly basis.

[0094] The required water depth for growth is used to provide ideal water depth conditions for plant growth and is helpful for water level management. Specifically, it can be calculated by using an underwater light prediction model, such as a light attenuation model, combined with turbidity data.

[0095] The underwater light prediction model can be a calculation formula, which is mainly used to calculate the water depth that meets the growth requirements of submerged plants according to the turbidity of the water body. This model can provide a practical and scientific basis for lake management and ecological protection.

[0096] This model provides a quantitative method to assess the living environment of submerged plants under different turbidity conditions, which helps lake managers adjust water levels and water quality to maintain ecological balance. The accurate application of this prediction model can greatly improve the efficiency and scientificity of water management, ensure the healthy growth of underwater plants, and thus maintain the health of the entire aquatic ecosystem.

[0097] Step S200, dividing the target lake to obtain a plurality of habitat units;

[0098] Dividing lakes into multiple habitat units according to different ecological characteristics (such as depth, bottom texture, and vegetation type) will allow for more detailed management of lakes and the development of specific measures for different areas.

[0099] Specifically, lake areas can be divided based on GIS (geographic information system) and remote sensing technology.

[0100] As mentioned above, the habitat unit is equivalent to dividing the lake bottom into countless independent and related squares, which can be achieved through division software.

[0101] It should be noted that due to the different depths of the lake bottom, the water depth of each habitat unit is different at a certain fixed water level.

[0102] Step S300, calculating the actual water depth of each habitat unit in the target lake; and calculating the plant coverage of the target submerged plant using the growth required water depth and the actual water depth;

[0103] As mentioned above, the actual water depth of each habitat unit is measured, and the plant cover (the area or proportion occupied) is calculated based on the water depth required for growth, so that the distribution and coverage of plants in the lake can be evaluated, which is a direct indicator of ecological health.

[0104] Data can be obtained through field measurements or using technologies such as underwater sonar, and plant cover can be obtained by comparing the water depth with the depth required for growth.

[0105] When the water depth of a habitat unit is lower than the water depth for plant growth in that month, plants can grow. Otherwise, they cannot grow. The number of habitat units that can meet the growth needs of plants / the total number of lake bottom habitat units is the plant coverage.

[0106] Step S400, based on the plant cover, obtain the ecological water level range and the annual water level control range corresponding to the target submerged plant, and use the ecological water level range and the annual water level control range as the lake ecological water level result.

[0107] As mentioned above, based on the plant cover data, the water level range required to maintain ecological balance is determined, and the annual water level regulation range is established. Ensuring that the lake water level fluctuates within an appropriate range helps maintain the stability of the ecosystem and biodiversity.

[0108] Water level management strategies can be developed based on ecological models and historical water level data.

[0109] The above method takes into account the plant growth requirements and lake ecological characteristics, can provide a scientific basis for lake management, and contribute to ecological protection and resource management. By implementing these steps, water levels can be better regulated and ecological balance can be promoted.

[0110] This embodiment constructs a growth-light model and an underwater light prediction model for different submerged plants in different growth periods, and can accurately regulate the water level on a monthly basis according to the growth goals of the plants. This method allows water level management to be finely adjusted for different regions and time periods through detailed habitat unit division and ecological demand analysis, thereby directly optimizing the growth conditions of submerged plants and the overall health of the ecosystem. By dynamically adjusting the water level to adapt to seasonal changes and biomass changes, this method not only improves the self-purification capacity and water quality of the lake ecosystem, but also enhances biodiversity protection and overall ecological service functions, effectively improving the scientificity and systematic nature of lake management, and greatly enhancing the accuracy and effectiveness of lake ecological restoration and water resources management.

[0111] Embodiment 2:

[0112] Embodiment 2 of the present invention provides a method for calculating the ecological water level of a lake. Based on the above embodiment 1, the expression of the underwater illumination prediction model is:

[0113]

[0114] in, Represents the illumination ratio; I B I represents underwater illumination; A represents natural light; Z M represents the required water depth for the growth of the target submerged plant; Turb represents the water turbidity of the target lake; B represents the biomass of all existing submerged plants in the target lake.

[0115] The above expression is a composite model used to estimate the light ratio (i.e., the ratio of underwater light to natural light), which involves multiple influencing factors, including the water depth required for growth, water turbidity, and plant biomass.

[0116] The above-mentioned light ratio indicates the underwater light intensity (I B ) and the natural light intensity on the water surface (I A ) is a key indicator for assessing the suitability of the underwater light environment. The larger the ratio, the stronger the underwater light is relative to the natural light, which usually means that the water is clearer or the water depth is shallower, which is conducive to photosynthesis and plant growth.

[0117] Above, Z Mrepresents the growth requirement water depth corresponding to the target submerged plant, which refers to the growth requirement water depth that meets the growth requirement of the target submerged plant in a specific time period. It should be noted that the increase in water depth usually leads to the weakening of light, because light will be absorbed and scattered when propagating in water. In the model, -12.04ln(Z M ) indicates that as the water depth increases, the light ratio decreases exponentially.

[0118] As mentioned above, the turbidity of the water body, high turbidity means more suspended matter in the water, and enhanced light scattering and absorption. -4.09ln(Turb), indicating that the increase in turbidity will significantly reduce the bottom light.

[0119] In the above, B represents the biomass of all submerged plants existing in the target lake. Plants with large biomass may further affect the light at the bottom of the water through their own shading effect. -3.76ln(B) means that the increase of plant biomass will lead to the decrease of light at the bottom of the water.

[0120] Through this model, we can understand and predict the impact of changes in different environmental variables on underwater light conditions, thus providing a scientific basis for the cultivation of submerged plants and ecological restoration. In addition, the model can also help guide the management of water levels and water quality in lakes and reservoirs to optimize the growth conditions of submerged plants.

[0121] Further, see Figure 3 The step S100, based on the water turbidity, uses an underwater light prediction model to calculate the water depth required for the growth of the target submerged plant in each time period, including:

[0122] Step S110, according to the growth-light model, calculate the light ratio corresponding to the target submerged plant when the absolute growth rate is 0, and use the light ratio as the minimum light requirement.

[0123] The growth-light model is a model used to simulate and predict the effect of light on plant biomass during plant growth and development. This model is particularly suitable for studying plants that are very sensitive to light, such as submerged plants. The growth-light model can be applied in many scientific fields, including plant ecology, agricultural science and environmental management.

[0124] The growth-light model can be constructed as follows:

[0125] (1) Data collection: Collect data on the growth of target submerged plants, light intensity, water turbidity, etc.

[0126] (2) Model parameterization: setting the parameters in the model, such as photosynthesis rate, light attenuation coefficient, etc., based on experimental data, and constructing the model relationship;

[0127] (3) Model verification: Verify the model’s prediction results through actual data.

[0128] (4) Application: Use the model to predict plant growth under different environmental conditions or provide decision support for environmental management.

[0129] Through this model, researchers and managers can better understand and predict the growth dynamics of plants under specific light conditions and effectively manage and protect the ecological environment.

[0130] Based on the established growth-light model, this step involves calculating the minimum light rate required at which plant growth ceases (absolute growth rate is 0).

[0131] The minimum underwater light ratio required by plants at different growth stages was obtained. For example, the minimum light ratio required by water chestnuts from September to November was 0.60%. Ensuring that plants can obtain sufficient light under the minimum survival conditions to maintain survival helps maintain the ecological balance of the lake.

[0132] The corresponding light fraction values ​​were solved by setting the biomass in the growth model to zero.

[0133] Step S120, based on the underwater light prediction model, according to the minimum light requirement and the biomass of all existing submerged plants, the water depth required for the growth of the target submerged plants is calculated in each time period.

[0134] As described above, according to step S110, the minimum illumination requirement is obtained, and combined with the underwater illumination prediction model (Formula 10), the water depth required to meet the illumination requirement in each time period is calculated.

[0135] In this step, the ideal water depth required by plants in different time periods is obtained to ensure that the light reaches the minimum requirement, so that the lake water level can be accurately controlled to ensure the optimization of the growth environment of submerged plants, which is conducive to ecological restoration and biodiversity protection.

[0136] It should be noted that different submerged plant types have different growth requirements in different seasons and time periods. For example, water chestnuts begin to germinate in autumn, go through the seedling stage, slow growth stage, rapid growth and reproduction stage, and finally die and dormant in summer. Vallisneria and Hydrilla begin to germinate in spring, with similar cycles but different time distributions. The details are shown in the following table:

[0137] Table 1. Growth stage division of target submerged plants

[0138]

[0139] The relationship between the growth stage and the growth-light model in Table 1 is that different growth stages require different intensities of light to support plant growth and reproduction, and this demand is controlled by adjusting the water level to control the light conditions in the lake, thereby supporting the healthy growth of plants. Therefore, based on different target submerged plants, there are different growth stages in different time periods, and a growth-light model is constructed. Further data analysis can be performed based on the growth-light model. This method allows scientists and environmental managers to accurately control the ecological water level to meet the specific growth needs of submerged plants, thereby achieving the purpose of ecological restoration and maintaining biodiversity.

[0140] Furthermore, the expression of the growth-light model corresponding to the autumn germination submerged plants includes:

[0141]

[0142] Among them, B1, B2 and B3 represent the biomass of the autumn-germinating submerged plants in the seedling stage from September to November, the slow growth period from December to February and the fast growth period from March to May respectively; and They represent the light ratios of the autumn germination submerged plants in the seedling stage from September to November, the slow growth period from December to February, and the fast growth period from March to May; and They represent the underwater light required by the autumn germination submerged plants in the seedling stage from September to November, the slow growth period from December to February, and the fast growth period from March to May; and It represents the natural light required by the autumn-germinating submerged plants during the seedling stage from September to November, the slow growth period from December to February, and the rapid growth period from March to May; T1, T2, and T3 respectively represent the growth days of the autumn-germinating submerged plants during the seedling stage from September to November, the slow growth period from December to February, and the rapid growth period from March to May.

[0143] The above, 12-2, means December to February of the following year.

[0144] The above, expressed as a logarithmic function, shows that the increase in biomass is proportional to the logarithm of the light intensity ratio, which includes a coefficient and an intercept. This means that the effect of the logarithmic increase in light intensity on biomass is linear.

[0145] The expression of the growth-light model corresponding to the spring germination rosette-type submerged plants includes:

[0146]

[0147] Among them, B4 and B5 represent the biomass of the spring-germinating rosette-type submerged plants in the slow growth period of March to May and the fast growth period of June to August, respectively; and They respectively represent the light ratios of the spring germination rosette-type submerged plants in the slow growth period of March to May and the fast growth period of June to August; and They represent the underwater light required by the spring germination rosette-type submerged plants in the slow growth period of March to May and the fast growth period of June to August respectively; and represents the natural light required by the spring germination rosette submerged plants in the slow growth period of March to May and the rapid growth period of June to August; T4 and T5 represent the growth days of the spring germination rosette submerged plants in the slow growth period of March to May and the rapid growth period of June to August respectively;

[0148] The expression of the growth-light model corresponding to the upright submerged plants germinating in spring includes:

[0149]

[0150] Among them, B6 and B7 represent the biomass of the spring-germinating upright submerged plants in the slow growth period of March to May and the fast growth period of June to August, respectively; and They respectively represent the light ratios of the spring germination upright submerged plants in the slow growth period of March to May and the fast growth period of June to August; and They represent the underwater light required by the upright submerged plants that germinate in spring during the slow growth period of March to May and the fast growth period of June to August respectively; and represents the natural light required by the spring-germinating upright submerged plants in the slow growth period of March to May and the rapid growth period of June to August; T6 and T7 represent the growth days of the spring-germinating upright submerged plants in the slow growth period of March to May and the rapid growth period of June to August respectively;

[0151] The expression of the growth-light model corresponding to the spring germination canopy submerged plants includes:

[0152]

[0153] Among them, B8 and B9 represent the biomass of the spring-germinating canopy-type submerged plants in the slow growth period of March to May and the fast growth period of June to August, respectively; and They respectively represent the light ratios of the spring germinating canopy-type submerged plants in the slow growth period of March to May and the fast growth period of June to August; and They represent the underwater light required by the spring germinating canopy submerged plants in the slow growth period of March to May and the fast growth period of June to August respectively; and It represents the natural light required by the spring-germinating canopy-type submerged plants during the slow growth period of March to May and the rapid growth period of June to August; T8 and T9 represent the growth days of the spring-germinating canopy-type submerged plants during the slow growth period of March to May and the rapid growth period of June to August, respectively.

[0154] These models express the significant, nonlinear positive effect of light enhancement on plant biomass by connecting light ratio and biomass using logarithmic functions. These models can predict the biomass performance of plants under specific light conditions, thereby guiding the actual operation of water management and plant cultivation. For environmental scientists and ecological managers, these models provide a quantitative tool for evaluating and optimizing the growth of submerged plants in aquatic environments.

[0155] Furthermore, the minimum light requirements for autumn germination submerged plants include:

[0156] The stated minimum light requirement for September, October and November is 0.60%;

[0157] The minimum light requirement in December, and in January and February of the following year is 2.63%;

[0158] The minimum light requirement for March, April and May of the second year is 0.71%;

[0159] The minimum light requirements for the spring germination rosette submerged plants include:

[0160] The stated minimum light requirement for March, April, May, June, July and August is 1.30%;

[0161] The minimum light requirements for the spring germination of upright submerged plants include:

[0162] The stated minimum light requirement for March, April and May is 1.63%;

[0163] The stated minimum light requirement for June, July and August is 1.50%;

[0164] The minimum light requirements for spring germination canopy submerged plants include:

[0165] The stated minimum light requirement for March, April and May is 2.03%;

[0166] The stated minimum light requirement for June, July and August is 4.26%.

[0167] As described above, according to the growth-light model, the light ratio corresponding to different target submerged plants when the absolute growth rate is 0 can be calculated, and the light ratio is used as the minimum light requirement, as shown in the following table:

[0168] Table 2. Minimum light requirements for submerged plants at different growth stages

[0169]

[0170] In the above table, 1-12 in the second row represent September to December of the current year and January to August of the next year respectively; the minimum light requirement is the light ratio when the absolute growth rate is 0, that is, I B / I A , the unit is %.

[0171] Embodiment 3:

[0172] Reference Figure 4 Embodiment 3 of the present invention provides a lake ecological water level calculation method, based on the above embodiment 1, the step S300 calculates the actual water depth of each habitat unit in the target lake; and calculates the plant cover of the target submerged plant using the growth required water depth and the actual water depth, including:

[0173] Step S310, calculating the actual water depth of each habitat unit in the target lake according to the lake bottom elevation and the water surface elevation; wherein the actual water depth of each habitat unit is calculated by the following relationship:

[0174] Z B =Z W -Z M ;(Formula 11)

[0175] Among them, Z B represents the elevation of the lake bottom; Z W represents the water surface elevation; Z M Represents the actual water depth.

[0176] As mentioned above, lake bottom elevation and water surface elevation are terms used in hydrology and topography that describe two important height reference points in a lake:

[0177] Lake bottom elevation: refers to the height of the deepest bottom of a lake relative to a certain reference surface (usually sea level). This height can be positive (the lake bottom is above sea level) or negative (the lake bottom is below sea level). Lake bottom elevation is an important parameter for measuring the depth and volume of a lake, and is crucial for understanding the topographic structure of a lake and drawing underwater topographic maps.

[0178] Water surface elevation: refers to the height of the lake surface relative to the same reference surface. The water surface elevation changes with the water level of the lake, and it can reflect the current water level of the lake. The measurement of water surface elevation is of great significance for monitoring the water level changes of the lake, conducting water resources management and flood warning.

[0179] The measurement of these two elevations is usually completed through hydrographic surveying techniques, such as using echo sounders (sonar) to measure water depth, and using GPS or other surveying instruments to determine the height of the water surface. By calculating the difference between the elevation of the lake bottom and the elevation of the water surface, the depth of the lake at a specific location can be obtained. This is very important data for lake ecological research, water quality monitoring, underwater structure engineering, and lake management.

[0180] In the above steps, the actual water depth of each habitat unit is obtained by calculation, providing basic data for subsequent analysis.

[0181] Step S320, comparing the actual water depth of each habitat unit in the target lake with the required water depth for the growth of the target submerged plant, and taking the number of habitat units corresponding to the actual water depth in the target lake that is less than the required water depth as the number of water depth units that meet the standard for the target submerged plant;

[0182] Specifically, the actual water depth of each habitat unit calculated in step S310 is compared with the required water depth for the growth of submerged plants to determine which habitat units have water depth conditions suitable for the growth of submerged plants.

[0183] In the above steps, it is necessary to compare the actual water depth of each habitat unit in the target lake with the required water depth for the growth of the target submerged plant. In the comparison process, there are the following two situations:

[0184] (1) If the actual water depth is less than the required depth for growth, the habitat units corresponding to the actual water depth will be counted as the number of units meeting the water depth requirement.

[0185] (2) If the actual water depth is greater than or equal to the required depth for growth, the habitat unit corresponding to the actual water depth will not be counted.

[0186] In the above, the number of water depth units that meet the growth requirements is counted. Specifically, the number of habitat units whose actual water depth is less than the growth requirement is calculated and recorded, thereby obtaining the number of water depth units that meet the requirements, which is a key indicator for evaluating plant growth conditions.

[0187] Step S330, based on the total number of the habitat units in the target lake and the number of units meeting the water depth standard, the plant coverage of the target submerged plant is calculated; wherein the calculation formula of the plant coverage is:

[0188]

[0189] Among them, C Mac represents the plant coverage of the target submerged macrophyte; N Mac Represents the number of water depth units that meet the standard for the target submerged plant; N Tot Represents the total number of habitat units in the target lake.

[0190] As mentioned above, the plant cover of submerged plants was calculated using the formula. Based on the number of water depth units that meet the standard and the total number of habitat units, the plant cover was calculated using formula 12. The plant cover was obtained to represent the coverage percentage of submerged plants in the lake.

[0191] The method in this embodiment provides a quantitative way to evaluate the growth status and distribution of submerged plants. It helps lake managers to formulate more scientific water level control strategies and optimize the growth environment of submerged plants. It can provide a basis for ecological restoration and biodiversity protection.

[0192] Embodiment 4:

[0193] refer to Figure 5 Embodiment 4 of the present invention provides a lake ecological water level calculation method. Based on the above embodiment 1, the step S400 obtains the ecological water level range and annual water level control range corresponding to the target submerged plant based on the plant coverage, including:

[0194] Step S410, based on the preset plant restoration target corresponding to the target submerged plant, determine the maximum water level and the minimum water level of the target submerged plant that achieve the plant cover under the preset plant restoration target through the plant cover of the target submerged plant, and use the maximum water level and the minimum water level as the ecological water level range of the target submerged plant;

[0195] According to the above method, each time a water level value is given, a corresponding plant coverage is obtained; repeat the above steps, that is, by giving the water level multiple times, the corresponding plant coverage is obtained respectively, and finally the quantitative relationship of "lake water level-plant coverage" is established month by month.

[0196] That is, for every given water level value, there is a corresponding plant cover value, and the relationship between water level and plant cover can be established. Since the monthly light requirements of plants are different, that is, the monthly water depth requirements are different, a corresponding relationship between water level and cover can be established every month.

[0197] The water level range required to meet the plant restoration goal is calculated based on the aforementioned "lake water level-plant coverage" quantitative relationship.

[0198] The preset plant restoration target mentioned above is a preset growth target for a specific submerged plant.

[0199] According to the preset plant restoration target, the maximum water level and the minimum water level of the target submerged plants that achieve the plant cover under the set plant restoration target are determined by the plant cover of the target submerged plants, that is, the "lake water level-plant cover" quantitative relationship is utilized to obtain the maximum water level and the minimum water level of the target submerged plants that achieve the plant cover under the set plant restoration target, thereby obtaining the ecological water level range.

[0200] Step S420, taking the year as the range, connecting the ecological water level ranges of each period, drawing the annual ecological water level process line of the target submerged plant under the preset plant restoration target, and using the annual ecological water level process line as the annual water level control range.

[0201] As mentioned above, by connecting the values ​​of the ecological water level range in each period, it is possible to draw the annual ecological water level process line under the preset plant restoration target of a given submerged plant, that is, the annual water level control range.

[0202] In addition, reference Figure 6 , the present application also provides a lake ecological water level calculation device, including:

[0203] The calculation module 10 is used to obtain the water turbidity of the target lake and the biomass of all submerged plants existing in the target lake; and based on the water turbidity, use the underwater light prediction model to calculate the water depth that meets the growth requirements of the target submerged plants in each time period; the target submerged plants include at least one of autumn sprouting submerged plants, spring sprouting rosette-type submerged plants, spring sprouting upright submerged plants and spring sprouting canopy-type submerged plants;

[0204] A division module 20 is used to divide the target lake into multiple habitat units;

[0205] The calculation module 10 is further used to calculate the actual water depth of each habitat unit in the target lake; and to calculate the plant coverage of the target submerged plant using the growth required water depth and the actual water depth;

[0206] The control module 30 is used to obtain the ecological water level range and annual water level control range corresponding to the target submerged plants based on the plant cover, and use the ecological water level range and the annual water level control range as the lake ecological water level result.

[0207] In addition, this embodiment also provides a lake ecological water level calculation system, including a memory and a processor, the memory stores a lake ecological water level calculation program, and the processor runs the lake ecological water level calculation program to enable the lake ecological water level calculation system to execute the lake ecological water level calculation method as described above.

[0208] In addition, this embodiment also provides a computer-readable storage medium, on which a lake ecological water level calculation program is stored. When the lake ecological water level calculation program is executed by a processor, the lake ecological water level calculation method as described above is implemented.

[0209] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0210] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product is stored in a storage medium (such as ROM / RAM, disk, CD) as described above, including a number of instructions for a terminal device (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods described in each embodiment of the present invention. The above is only a preferred embodiment of the present invention, and does not limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made by using the contents of the present invention specification and drawings, or directly or indirectly used in other related technical fields, are similarly included in the patent protection scope of the present invention.

Claims

1. A method for calculating the ecological water level of a lake, characterized in that: include: Obtaining the water turbidity of the target lake and the biomass of all submerged plants existing in the target lake; Furthermore, based on the water turbidity, an underwater light prediction model is used to calculate the water depth required for the growth of the target submerged plants in each time period; the target submerged plants include at least one of autumn sprouting submerged plants, spring sprouting rosette-type submerged plants, spring sprouting upright submerged plants, and spring sprouting canopy-type submerged plants; Dividing the target lake to obtain a plurality of habitat units; Calculating the actual water depth of each habitat unit in the target lake; And, using the required water depth for growth and the actual water depth, calculating the plant coverage of the target submerged plant; Based on the plant cover, the ecological water level range and the annual water level control range corresponding to the target submerged plants are obtained, and the ecological water level range and the annual water level control range are used as the lake ecological water level results.

2. The lake ecological water level calculation method according to claim 1, characterized in that: The expression of the underwater illumination prediction model is: in, Represents the illumination ratio; I B I represents underwater illumination; A represents natural light; Z M represents the required water depth for the growth of the target submerged plant; Turb represents the water turbidity of the target lake; B represents the biomass of all existing submerged plants in the target lake.

3. The lake ecological water level calculation method according to claim 1, characterized in that: The method of calculating the water depth required for the growth of the target submerged plant in each time period based on the water turbidity by using an underwater light prediction model includes: According to the growth-light model, the light ratio corresponding to the target submerged plant when the absolute growth rate is 0 is calculated, and the light ratio is used as the minimum light requirement; Based on the underwater light prediction model, according to the minimum light requirement and the biomass of all existing submerged plants, the water depth required to meet the growth of the target submerged plants is calculated for each time period.

4. The lake ecological water level calculation method according to claim 3, characterized in that: The expression of the growth-light model corresponding to the autumn germination submerged plants includes: Among them, B1, B2 and B3 represent the biomass of the autumn-germinating submerged plants in the seedling stage from September to November, the slow growth period from December to February and the fast growth period from March to May respectively; and They represent the light ratios of the autumn germination submerged plants in the seedling stage from September to November, the slow growth period from December to February, and the fast growth period from March to May; and They represent the underwater light required by the autumn germination submerged plants in the seedling stage from September to November, the slow growth period from December to February, and the fast growth period from March to May; and represents the natural light required by the autumn germination submerged plants in the seedling stage from September to November, the slow growth period from December to February, and the rapid growth period from March to May; T1, T2, and T3 represent the growth days of the autumn germination submerged plants in the seedling stage from September to November, the slow growth period from December to February, and the rapid growth period from March to May, respectively; The expression of the growth-light model corresponding to the spring germination rosette-type submerged plants includes: Among them, B4 and B5 represent the biomass of the spring-germinating rosette-type submerged plants in the slow growth period of March to May and the fast growth period of June to August, respectively; and They respectively represent the light ratios of the spring germination rosette-type submerged plants in the slow growth period of March to May and the fast growth period of June to August; and They represent the underwater light required by the spring germination rosette-type submerged plants in the slow growth period of March to May and the fast growth period of June to August respectively; and represents the natural light required by the spring germination rosette submerged plants in the slow growth period of March to May and the rapid growth period of June to August; T4 and T5 represent the growth days of the spring germination rosette submerged plants in the slow growth period of March to May and the rapid growth period of June to August respectively; The expression of the growth-light model corresponding to the upright submerged plants germinating in spring includes: Among them, B6 and B7 represent the biomass of the spring-germinating upright submerged plants in the slow growth period of March to May and the fast growth period of June to August, respectively; and They respectively represent the light ratios of the spring germinating upright submerged plants in the slow growth period of March to May and the fast growth period of June to August; and They represent the underwater light required by the upright submerged plants that germinate in spring during the slow growth period of March to May and the fast growth period of June to August respectively; and represents the natural light required by the spring-germinating upright submerged plants in the slow growth period of March to May and the rapid growth period of June to August; T6 and T7 represent the growth days of the spring-germinating upright submerged plants in the slow growth period of March to May and the rapid growth period of June to August respectively; The expression of the growth-light model corresponding to the spring germination canopy submerged plants includes: Among them, B8 and B9 represent the biomass of the spring-germinating canopy-type submerged plants in the slow growth period of March to May and the fast growth period of June to August, respectively; and They respectively represent the light ratios of the spring germinating canopy-type submerged plants in the slow growth period of March to May and the fast growth period of June to August; and They represent the underwater light required by the spring germinating canopy submerged plants in the slow growth period of March to May and the fast growth period of June to August respectively; and It represents the natural light required by the spring-germinating canopy-type submerged plants during the slow growth period of March to May and the rapid growth period of June to August; T8 and T9 represent the growth days of the spring-germinating canopy-type submerged plants during the slow growth period of March to May and the rapid growth period of June to August, respectively.

5. The lake ecological water level calculation method according to claim 3, characterized in that: The minimum light requirements for fall germination submerged plants include: The stated minimum light requirement for September, October and November is 0.60%; The minimum light requirement in December, and in January and February of the following year is 2.63%; The minimum light requirement for March, April and May of the second year is 0.71%; The minimum light requirements for the spring germination rosette submerged plants include: The stated minimum light requirement for March, April, May, June, July and August is 1.30%; The minimum light requirements for the spring germination of upright submerged plants include: The stated minimum light requirement for March, April and May is 1.63%; The stated minimum light requirement for June, July and August is 1.50%; The minimum light requirements for spring germination canopy submerged plants include: The stated minimum light requirement for March, April and May is 2.03%; The stated minimum light requirement for June, July and August is 4.26%.

6. The lake ecological water level calculation method according to claim 1, characterized in that: Calculating the actual water depth of each habitat unit in the target lake; And, using the required water depth for growth and the actual water depth, calculating the plant coverage of the target submerged plant, including: According to the lake bottom elevation and the water surface elevation, the actual water depth of each habitat unit in the target lake is calculated; wherein the actual water depth of each habitat unit is calculated by the following relationship: WITH B =Z W -WITH M ; Among them, Z B represents the elevation of the lake bottom; Z W represents the water surface elevation; Z M represents the actual water depth stated; Compare the actual water depth of each habitat unit in the target lake with the required water depth for the growth of the target submerged plant, and take the number of habitat units corresponding to the actual water depth in the target lake that is less than the required water depth as the number of water depth units that meet the standard for the target submerged plant; Based on the total number of the habitat units in the target lake and the number of units meeting the water depth standard, the plant coverage of the target submerged plants is calculated; wherein the calculation formula of the plant coverage is: Among them, C Mac Represents the plant coverage of the target submerged macrophyte; N Mac Represents the number of water depth units that meet the standard for the target submerged plant; N Tot Represents the total number of habitat units in the target lake.

7. The lake ecological water level calculation method according to claim 1, characterized in that: The ecological water level range and annual water level control range corresponding to the target submerged plants are obtained based on the plant coverage, including: Based on the preset plant restoration target corresponding to the target submerged plant, determine the maximum water level and the minimum water level of the target submerged plant that achieve the plant cover under the preset plant restoration target through the plant cover of the target submerged plant, and use the maximum water level and the minimum water level as the ecological water level range of the target submerged plant; Taking the year as the scope, the ecological water level ranges of each period are connected, and the annual ecological water level process line of the target submerged plant under the preset plant restoration target is drawn, and the annual ecological water level process line is used as the annual water level control range.

8. A lake ecological water level calculation device, characterized in that: include: A calculation module, used for obtaining the water turbidity of the target lake and the biomass of all submerged plants existing in the target lake; Furthermore, based on the water turbidity, an underwater light prediction model is used to calculate the water depth required for the growth of the target submerged plants in each time period; the target submerged plants include at least one of autumn sprouting submerged plants, spring sprouting rosette-type submerged plants, spring sprouting upright submerged plants, and spring sprouting canopy-type submerged plants; A division module, used for dividing the target lake into multiple habitat units; The calculation module is further used to calculate the actual water depth of each habitat unit in the target lake; And, using the required water depth for growth and the actual water depth, calculating the plant coverage of the target submerged plant; A control module is used to obtain the ecological water level range and annual water level control range corresponding to the target submerged plants based on the plant cover, and use the ecological water level range and the annual water level control range as the lake ecological water level results.

9. A lake ecological water level calculation system, characterized in that: It includes a memory and a processor, wherein the memory stores a lake ecological water level calculation program, and the processor runs the lake ecological water level calculation program to enable the lake ecological water level calculation system to execute the lake ecological water level calculation method as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a lake ecological water level calculation program, and when the lake ecological water level calculation program is executed by the processor, the lake ecological water level calculation method according to any one of claims 1 to 7 is implemented.

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