Method and device for constructing evaporation complementary theoretical parameter model based on soil moisture content

Abstract

The present invention discloses a method and device for constructing a theoretical parameter model of evaporation complementation based on soil moisture content, the method comprising: classifying selected flux sites according to underlying surface types; using an objective function genetic algorithm, taking the determination coefficient of evaporation simulation value and measured value close to 1 and the slope of a straight line passing through the origin close to 1 as optimization targets, optimizing based on the daily scale data of each flux site each year, and obtaining an optimized theoretical parameter of evaporation complementation for each site year; according to the optimized theoretical parameter of evaporation complementation, combined with soil moisture content data, establishing a model of theoretical parameter of evaporation complementation based on soil moisture content for different underlying surfaces. The present invention is based on the generalized nonlinear complementary relationship proposed by Brutsaert, and by exploring the relationship between soil moisture content of different underlying surfaces and theoretical parameter of evaporation complementation, an evaporation complementation theoretical parameter model based on soil moisture content is established, and effective acquisition of theoretical parameter of evaporation complementation is achieved.

Description

Technical Field

[0001] The invention relates to the field of ecohydrology research, and in particular to a method and device for constructing an evaporation complementary theoretical parameter model based on soil moisture content. Background Art

[0002] The complementary relationship was originally based on the linear feedback effect of land surface evaporation on the evaporation capacity of the atmosphere. It means that under the condition of inputting a certain amount of radiation energy, as the land surface moisture conditions change, the evaporation capacity of the atmosphere changes in equal magnitude and opposite direction due to the feedback effect of land surface evaporation. Based on the evaporation complementary theory, the actual evaporation can be estimated using conventional meteorological data. It is the most effective method for calculating surface evaporation and has been widely used.

[0003] In 2015, Brutsaert proposed a nonlinear complementary relationship based on a polynomial formula by analyzing four boundary conditions strictly based on physical considerations. Due to its concise mathematical expression and stronger physical rationality, it has been widely used in flux station scale in recent years and has been proven to be able to estimate evaporation more accurately. The Brutsaert polynomial generalized complementary model has only one parameter. Therefore, the determination of the complementary theory parameters is crucial to the accurate calculation of evaporation using this theory. Summary of the invention

[0004] In order to overcome the shortcomings of the above-mentioned prior art, the present invention provides a method and device for constructing an evaporation complementary theoretical parameter model based on soil moisture content. Based on the generalized nonlinear complementary relationship proposed by Brutsaert, by exploring the relationship between soil moisture content of different underlying surfaces and evaporation complementary theoretical parameters, an evaporation complementary theoretical parameter model based on soil moisture content is established, thereby realizing the effective acquisition of evaporation complementary theoretical parameters.

[0005] According to one aspect of the present invention, there is provided a method for constructing a theoretical parameter model of evaporation complementarity based on soil moisture content, comprising:

[0006] The selected flux sites were classified according to the underlying surface type;

[0007] The objective function genetic algorithm was used, with the determination coefficient of the simulated evaporation value and the measured value close to 1 and the slope of the straight line through the origin close to 1 as the optimization goal. The optimization was performed based on the daily scale data of each flux station every year, and an optimized evaporation complementary theoretical parameter was obtained for each station year.

[0008] According to the optimized evaporation complementary theoretical parameters and combined with soil moisture data, the model of evaporation complementary theoretical parameters based on soil moisture content for different underlying surfaces is established as follows:

[0009] ,

[0010] in, represents the simulated values ​​of the evaporation complementation theory parameters, a, b, c, d are constants, and SWCR represents the relative soil moisture content.

[0011] As a further technical solution, the method also includes: calculating the simulation values ​​of the evaporation complementarity theory parameters according to the established model of evaporation complementarity theory parameters based on soil moisture content of different underlying surfaces, and estimating the evaporation amount in combination with the evaporation complementarity theory.

[0012] As a further technical solution, in the step of optimizing using the objective function genetic algorithm, the objective function used is

[0013] ,

[0014] in, is the determination coefficient of the evaporation simulation value and the measured value, and Slope is the slope of the straight line passing through the origin.

[0015] As a further technical solution, after establishing the model of evaporation complementary theoretical parameters based on soil moisture content of different underlying surfaces, it also includes: using the determination coefficient R 2 The evaporation estimation effect was evaluated by six indicators: root mean square error RMSE, normalized root mean square error NRMSE, slope of the straight line passing through the origin Slope, percentage bias Pbias and consistency index IA.

[0016] According to one aspect of the present invention, there is provided a device for constructing a theoretical parameter model of evaporation complementation based on soil moisture content, comprising:

[0017] A first main module is used to classify the selected flux sites according to the underlying surface type;

[0018] The second main module is used to use the objective function genetic algorithm, with the determination coefficient of the evaporation simulation value and the measured value close to 1 and the slope of the straight line through the origin close to 1 as the optimization goal, and optimize based on the daily scale data of each flux station every year, and obtain an optimized evaporation complementary theoretical parameter for each station year;

[0019] The third main module is used to establish a model of evaporation complementary theoretical parameters based on soil moisture content for different underlying surfaces according to the optimized evaporation complementary theoretical parameters and combined with soil moisture data:

[0020] ,

[0021] in, represents the simulated values ​​of the evaporation complementation theory parameters, a, b, c, d are constants, and SWCR represents the relative soil moisture content.

[0022] As a further technical solution, the device also includes a fourth main module, which is used to calculate the simulation values ​​of the evaporation complementarity theoretical parameters based on the established model of the evaporation complementarity theoretical parameters based on soil moisture content of different underlying surfaces, and estimate the evaporation amount in combination with the evaporation complementarity theory.

[0023] As a further technical solution, the device further comprises a fifth main module for using a determination coefficient R 2 The evaporation estimation effect was evaluated by six indicators: root mean square error RMSE, normalized root mean square error NRMSE, slope of the straight line passing through the origin Slope, percentage bias Pbias and consistency index IA.

[0024] According to one aspect of the present invention, a parameter model of evaporation complementarity theory based on soil moisture content is provided, which is constructed using the method described above, and evaporation is estimated based on the constructed model in combination with the evaporation complementarity theory.

[0025] According to one aspect of the present specification, there is provided an execution system for an evaporation complementary theoretical parameter model based on soil moisture content, comprising: at least one processor, at least one memory and a communication interface; wherein the processor, the memory and the communication interface communicate with each other; the memory stores program instructions executed by the processor, and the processor calls the program instructions to execute the described method.

[0026] According to one aspect of the present specification, a non-transitory computer-readable storage medium is provided, wherein the non-transitory computer-readable storage medium stores computer instructions, wherein the computer instructions enable the computer to execute the method described above.

[0027] Compared with the prior art, the present invention has the following beneficial effects:

[0028] (1) The present invention classifies different underlying surfaces, introduces soil moisture content to calculate evaporation complementary theory parameters, estimates evaporation in combination with the evaporation complementary theory, and selects appropriate evaluation indicators to evaluate the effect of estimating evaporation. Compared with the existing method of using evaporation measured values ​​to reversely infer and calibrate complementary theory parameters, the present invention is simple and practical, and can directly calculate evaporation complementary theory parameters based on soil moisture content, making it easier to use the evaporation complementary theory to estimate evaporation.

[0029] (2) Based on the influence of the underlying surface water supply conditions on the complementary relationship and combined with the evaporation complementarity theory, this paper explores the relationship between the evaporation complementarity theory parameters of different underlying surfaces and the soil moisture content, thus expanding the application of the evaporation complementarity theory.

[0030] (3) The present invention establishes a theoretical parameter model of evaporation complementarity based on soil moisture content, which is of great significance for accurately estimating the theoretical parameters of evaporation complementarity and further promoting the application of evaporation complementarity theory. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, a brief introduction is given below to the drawings used in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0032] Figure 1 A schematic flow chart of a method for constructing an evaporation complementary theoretical parameter model based on soil moisture content provided in an embodiment of the present invention.

[0033] Figure 2 A schematic diagram of a theoretical model of evaporation complementarity based on soil moisture content for different underlying surfaces provided in an embodiment of the present invention.

[0034] Figure 3 A schematic diagram of the structure of a device for constructing an evaporation complementary theoretical parameter model based on soil moisture content provided by an embodiment of the present invention.

[0035] Figure 4 A schematic diagram of the structure of an execution system of an evaporation complementary theoretical parameter model based on soil moisture content provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0036] At present, most of the studies based on Brutsaert's generalized complementary principle use the measured evaporation values ​​to reversely deduce and calibrate the complementary theoretical parameters. However, actual evaporation is mostly difficult to obtain, and this method is difficult to be widely used. In view of this, in order to facilitate the further promotion and application of the evaporation complementary theory, this parameter acquisition method is invented, that is, a method for constructing an evaporation complementary theoretical parameter model based on soil moisture content. Based on the generalized nonlinear complementary relationship proposed by Brutsaert, by exploring the relationship between soil moisture content of different underlying surfaces and evaporation complementary theoretical parameters, an evaporation complementary theoretical parameter model based on soil moisture content is established, and the evaporation complementary theoretical parameters are effectively acquired.

[0037] The terms "including" and "having" and any variations thereof in the specification and claims of the present invention and the above-mentioned drawings are intended to cover non-exclusive inclusions, for example, a process, method, system, product or apparatus comprising a series of steps or units is not necessarily limited to the steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to these processes, methods, products or apparatuses.

[0038] The block diagrams shown in the accompanying drawings are merely functional entities and do not necessarily correspond to physically independent entities. That is, these functional entities may be implemented in software, or in one or more hardware modules or integrated circuits, or in different networks and / or processor devices and / or microcontroller devices. The flowcharts shown in the accompanying drawings are merely exemplary and do not necessarily include all the contents and operations / steps, nor do they necessarily have to be executed in the order described. For example, some operations / steps may be further decomposed, while some operations / steps may be combined or partially combined, so the actual execution order may change according to the actual situation.

[0039] In order to make the purpose, 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 in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention. In addition, the technical features in the various embodiments or single embodiments provided by the present invention are arbitrarily combined with each other to form a new technical solution. This combination is not restricted by the sequence of steps and / or the structural composition mode, but must be based on the ability of ordinary technicians in this field to achieve. When the combination of technical solutions is contradictory or cannot be achieved, it should be considered that this combination of technical solutions does not exist and is not within the scope of protection required by the present invention.

[0040] The embodiment of the present invention selects the flux station observation data and meteorological data provided by FLUXNET2015 as research examples. The representative station observation data of five underlying surface types, including forest (ENF, EBF, DBF, MF), shrubland (OSH, CSH), grassland (GRA), cropland (CRO) and savanna (WSA, SAV), are selected. The observation time of each station is more than 5 years and there is soil moisture data.

[0041] like Figure 1 As shown, a method for constructing an evaporation complementary theoretical parameter model based on soil moisture content provided by an embodiment of the present invention includes the following steps:

[0042] Step 1 Classify the selected flux sites according to the underlying surface type.

[0043] The 56 stations were divided into five types according to the underlying surface: forest, shrubland, grassland, cultivated land and tropical savanna.

[0044] Step 2: Calculate the optimized parameters of each flux station on an annual scale.

[0045] The objective function genetic algorithm is used to calculate the optimization parameters of each flux station at the annual scale. The optimization is based on the daily scale data of each flux station each year. The optimization target is the determination coefficient of the evaporation simulation value and the measured value. The slope of the line closest to 1 and passing through the origin is close to 1, that is, the objective function is:

[0046] (1)

[0047] Step 3: Establish a model of theoretical parameters of evaporation complementarity based on soil moisture content for different underlying surfaces:

[0048] (2)

[0049] Among them, a, b, c, and d are constants, which are obtained by fitting using the least squares method.

[0050] In order to facilitate the establishment of the model, the soil moisture content is normalized, that is, the dimensionless relative soil moisture content is used in the model, which is defined as the ratio of the soil moisture content to the maximum soil moisture content of the site, expressed as SWCR.

[0051] (3)

[0052] In the formula, is the soil moisture content, It is the maximum soil moisture content of all observed years at this flux station.

[0053] As a preferred embodiment, the method for constructing a theoretical parameter model of evaporation complementation based on soil moisture content described in the embodiment of the present invention, after establishing a model of theoretical parameters of evaporation complementation based on soil moisture content of different underlying surfaces, further includes:

[0054] Step 4: Select the coefficient of determination The model effect is evaluated by six indicators: root mean square error RMSE, normalized root mean square error NRMSE, slope of the straight line through the origin Slope, percentage deviation Pbias and consistency index IA. The calculation formulas for each evaluation indicator are as follows:

[0055] The formula for calculating the coefficient of determination is:

[0056] (4)

[0057] In the formula, is the measured evapotranspiration value, is the simulated evapotranspiration value, is the mean of the measured evapotranspiration, To simulate the mean evapotranspiration, the following formula is the same as above.

[0058] The formula for calculating the slope of a straight line passing through the origin is:

[0059] (5)

[0060] The root mean square error is the square of the deviation between the predicted value and the true value and the number of observations. n The square root of the ratio, in actual measurement, the number of observations n The true value can only be replaced by the most reliable (optimal) value. The root mean square error is used to measure the deviation between the observed value and the true value. The normalized root mean square error is the result of normalizing the root mean square error. The formulas for the root mean square error and the normalized root mean square error are as follows:

[0061] (6)

[0062] (7)

[0063] Percentage deviation Pbias (%), also known as relative error, indicates that the percentage deviation of the simulated value of the measured value of evapotranspiration is greater or less than the measured value. The closer it is to 0, the better the model effect. It reflects the cumulative deviation between the simulated value and the actual value. A positive value indicates that the model underestimates the deviation of the observed value, and a negative value indicates that the model overestimates the deviation of the observed value.

[0064] (8)

[0065] The formula for calculating the consistency index is:

[0066] (9)

[0067] 56 representative flux observation sites were selected, and an evaporation complementation theory parameter was optimized with data from each year to establish an evaporation complementation theory parameter model based on soil moisture content. Evaporation was estimated in combination with the evaporation complementation theory to evaluate the simulation effect. When conducting simulation comparison tests, five underlying surface types were used: forest, shrubland, grassland, cropland, and savanna.

[0068] The evaporation complementation theoretical model based on soil moisture content for five underlying surfaces is established as follows: Figure 2 shown.

[0069] The evaporation complementarity theoretical parameters were estimated based on the established model. The calibration values ​​of the evaporation complementarity theoretical parameters for farmland, shrubs, forests, grasslands, and savannas were 1.352, 0.818, 1.061, 1.185, and 0.885, respectively, and the simulation values ​​were 1.352, 0.818, 1.061, 1.178, and 0.885, respectively. The simulation values ​​and calibration values ​​of the evaporation complementarity theoretical parameters for the five underlying surfaces and the whole were basically equal, and the model had a good effect in simulating the evaporation complementarity theoretical parameters.

[0070] The daily scale evaporation effect estimated by combining the evaporation complementarity theory is shown in Table 1.

[0071] Table 1 Results of daily evaporation estimation evaluation indicators for different underlying surfaces

[0072]

[0073] The results show that the evaporation complementarity theory parameter model based on soil moisture content can accurately estimate the evaporation complementarity theory parameters. In addition, the evaluation indicators of five underlying surfaces show that the evaporation complementarity theory parameter model based on soil moisture content combined with the evaporation complementarity theory can accurately estimate daily evaporation.

[0074] It can be seen that the evaporation complementary theory parameter model based on soil moisture content proposed in the present invention can effectively estimate the evaporation complementary theory parameters, and the evaporation effect is better when combined with the evaporation complementary theory.

[0075] The implementation basis of each embodiment of the present invention is to implement programmed processing through a device with a processor function. Therefore, in engineering practice, the technical solutions and functions of each embodiment of the present invention are encapsulated into various modules. Based on this reality, on the basis of the above embodiments, an embodiment of the present invention provides a device for constructing a theoretical parameter model of evaporation complementation based on soil moisture content, and the device is used to execute the method for constructing a theoretical parameter model of evaporation complementation based on soil moisture content in the above method embodiment.

[0076] See also Figure 3 The device includes: a first main module for classifying the selected flux site according to the underlying surface type; a second main module for using the objective function genetic algorithm to determine the coefficient R of evaporation simulation value and measured value 2 The optimization goal is to take the slope of the straight line close to 1 and the slope of the straight line passing through the origin close to 1. The optimization is performed based on the daily scale data of each flux station each year, and an optimized evaporation complementary theoretical parameter is obtained for each station year. The third main module is used to establish a model of evaporation complementary theoretical parameters based on soil moisture content for different underlying surfaces according to the optimized evaporation complementary theoretical parameters and combined with soil moisture data.

[0077] ,

[0078] in, represents the simulated values ​​of the evaporation complementation theory parameters, a, b, c, d are constants, and SWCR represents the relative soil moisture content.

[0079] The device for constructing a model of complementary theoretical parameters of evaporation based on soil moisture content provided by the embodiment of the present invention aims to solve the problem that the complementary theoretical parameters are difficult to be obtained by inversely deriving and calibrating the complementary theoretical parameters using the actual evaporation measured values. Figure 3 Several modules in it, based on the generalized nonlinear complementary relationship proposed by Brutsaert, explore the relationship between soil moisture content of different underlying surfaces and evaporation complementary theoretical parameters, establish an evaporation complementary theoretical parameter model based on soil moisture content, and realize the effective acquisition of evaporation complementary theoretical parameters.

[0080] It should be noted that the device embodiments provided by the present invention are used to implement the methods in the above method embodiments as well as the methods in other method embodiments provided by the present invention. The only difference is that the corresponding functional modules are set, and the principle is basically the same as the principle of the above device embodiments provided by the present invention. As long as the technical personnel in the field refer to the specific technical solutions in other method embodiments on the basis of the above device embodiments, obtain the corresponding technical means and the technical solutions composed of these technical means by combining the technical features, and on the premise of ensuring the practicality of the technical solutions, improve the modules in the above device embodiments to obtain the corresponding device class embodiments, which are used to implement the methods in other method class embodiments. For example:

[0081] Based on the content of the above device embodiment, as a preferred embodiment, the device for constructing a theoretical parameter model of evaporation complementation based on soil moisture content provided in the embodiment of the present invention further includes:

[0082] The fourth main module is used to calculate the simulation value of the evaporation complementarity theory parameters according to the established model of the evaporation complementarity theory parameters based on soil moisture content of different underlying surfaces, and estimate the evaporation amount in combination with the evaporation complementarity theory.

[0083] Based on the content of the above device embodiment, as a preferred embodiment, the device for constructing a theoretical parameter model of evaporation complementation based on soil moisture content provided in the embodiment of the present invention further includes:

[0084] The fifth main module is used to adopt the determination coefficient R 2 The evaporation estimation effect was evaluated by six indicators: root mean square error RMSE, normalized root mean square error NRMSE, slope of the straight line passing through the origin Slope, percentage bias Pbias and consistency index IA.

[0085] Based on the same inventive concept as the aforementioned embodiment, the present invention also provides a theoretical parameter model of evaporation complementarity based on soil moisture content, which is constructed using the method for constructing a theoretical parameter model of evaporation complementarity based on soil moisture content, and the evaporation amount is estimated based on the constructed model in combination with the evaporation complementarity theory.

[0086] The process of estimating evaporation using the evaporation complementary theoretical parameter model based on soil moisture content in the embodiment of the present invention includes the following steps:

[0087] The selected flux sites were classified according to the underlying surface type;

[0088] The objective function genetic algorithm was used, with the determination coefficient of the simulated evaporation value and the measured value close to 1 and the slope of the straight line through the origin close to 1 as the optimization goal. The optimization was performed based on the daily scale data of each flux station every year, and an optimized evaporation complementary theoretical parameter was obtained for each station year.

[0089] According to the optimized evaporation complementary theoretical parameters and combined with soil moisture data, the model of evaporation complementary theoretical parameters based on soil moisture content for different underlying surfaces is established as follows:

[0090] ,

[0091] in, represents the simulated values ​​of the evaporation complementation theory parameters, a, b, c, d are constants, and SWCR represents the relative soil moisture content;

[0092] According to the established model of evaporation complementarity theoretical parameters based on soil moisture content for different underlying surfaces, the simulated values ​​of evaporation complementarity theoretical parameters were calculated, and the evaporation amount was estimated in combination with the evaporation complementarity theory.

[0093] The method of the embodiment of the present invention is implemented by relying on an execution system, so it is necessary to introduce the relevant execution system. Based on this purpose, the embodiment of the present invention provides an execution system based on the evaporation complementary theoretical parameter model of soil moisture content, such as Figure 4 As shown, the execution system includes: at least one processor, a communication interface, at least one memory, and a communication bus, wherein at least one processor, the communication interface, and at least one memory communicate with each other through the communication bus. At least one processor calls the logic instructions in at least one memory to execute all or part of the steps of the methods provided by the aforementioned various method embodiments.

[0094] In addition, when the logic instructions in the above-mentioned at least one memory are implemented in the form of a software functional unit and sold or used as an independent product, they are stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention is essentially or partly in other words, the part that contributes to the prior art or part of the technical solution is embodied in the form of a software product, and the computer software product is stored in a storage medium, including several instructions for enabling a computer device (a personal computer, a server, or a network device) to perform all or part of the steps of the method described in each method embodiment of the present invention. The aforementioned storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a disk or an optical disk, and various media for storing program codes.

[0095] Based on the same inventive concept as the above-mentioned embodiment, the present invention further provides a non-transitory computer-readable storage medium, wherein the non-transitory computer-readable storage medium stores computer instructions, wherein the computer instructions enable the computer to execute the method for constructing the evaporation complementary theoretical parameter model based on soil moisture content, comprising the following steps:

[0096] The objective function genetic algorithm was used, with the determination coefficient of the simulated evaporation value and the measured value close to 1 and the slope of the straight line through the origin close to 1 as the optimization goal. The optimization was performed based on the daily scale data of each flux station every year, and an optimized evaporation complementary theoretical parameter was obtained for each station year.

[0097] According to the optimized evaporation complementary theoretical parameters and combined with soil moisture data, the model of evaporation complementary theoretical parameters based on soil moisture content for different underlying surfaces is established as follows:

[0098] ,

[0099] in, represents the simulated values ​​of the evaporation complementation theory parameters, a, b, c, d are constants, and SWCR represents the relative soil moisture content.

[0100] The system embodiments described above are merely illustrative, wherein the units described as separate components are or are not physically separated, and the components shown as units are or are not physical units, located in one place, or distributed on multiple network units. Some or all of the modules are selected according to actual conditions to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art can understand and implement without creative effort.

[0101] In summary, the present invention provides a method, device and model for constructing an evaporation complementary theory parameter model based on soil moisture content. According to different underlying surface classifications, soil moisture content is introduced to calculate evaporation complementary theory parameters, evaporation is estimated in combination with the evaporation complementary theory, and appropriate evaluation indicators are selected to evaluate the effect of estimated evaporation. Based on the influence of the underlying surface water supply conditions on the complementary relationship, and combined with the evaporation complementary theory, the present invention explores the relationship between evaporation complementary theory parameters of different underlying surfaces and soil moisture content, and expands the application of the evaporation complementary theory. The present invention is simple and practical, and can directly calculate the evaporation complementary theory parameters according to the soil moisture content, making it easier to use the evaporation complementary theory to estimate evaporation. Establishing an evaporation complementary theory parameter model based on soil moisture content is of great significance for realizing accurate estimation of evaporation complementary theory parameters and for further promoting the application of the evaporation complementary theory.

[0102] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the technical solutions of the embodiments of the present invention.

Claims

1. A method for constructing a theoretical parameter model of evaporation complementarity based on soil moisture content, characterized in that: include: The selected flux sites were classified according to the underlying surface type; The objective function genetic algorithm was used, with the determination coefficient of the simulated evaporation value and the measured value close to 1 and the slope of the straight line through the origin close to 1 as the optimization goal. The optimization was performed based on the daily scale data of each flux station every year, and an optimized evaporation complementary theoretical parameter was obtained for each station year. According to the optimized evaporation complementary theoretical parameters and combined with soil moisture data, the model of evaporation complementary theoretical parameters based on soil moisture content for different underlying surfaces is established as follows: ， in, represents the simulated values ​​of the evaporation complementation theory parameters, a, b, c, d are constants, and SWCR represents the relative soil moisture content.

2. The method for constructing a theoretical parameter model of evaporation complementarity based on soil moisture content according to claim 1, characterized in that: The method further comprises: calculating the simulation value of the evaporation complementation theory parameter according to the established model of the evaporation complementation theory parameter based on soil moisture content of different underlying surfaces, and estimating the evaporation amount in combination with the evaporation complementation theory.

3. The method for constructing a theoretical parameter model of evaporation complementarity based on soil moisture content according to claim 1, characterized in that: In the optimization step using the objective function genetic algorithm, the objective function used is ， in, is the determination coefficient of the evaporation simulation value and the measured value, and Slope is the slope of the straight line passing through the origin.

4. The method for constructing a theoretical parameter model of evaporation complementarity based on soil moisture content according to claim 1, characterized in that: After establishing the model of complementary theoretical parameters of evaporation on different underlying surfaces, it also includes: using the determination coefficient R 2 The evaporation estimation effect was evaluated by six indicators: root mean square error RMSE, normalized root mean square error NRMSE, slope of the straight line passing through the origin Slope, percentage bias Pbias and consistency index IA.

5. A device for constructing a theoretical parameter model of evaporation complementation based on soil moisture content, characterized in that: include: A first main module is used to classify the selected flux sites according to the underlying surface type; The second main module is used to use the objective function genetic algorithm, with the determination coefficient of the evaporation simulation value and the measured value close to 1 and the slope of the straight line through the origin close to 1 as the optimization goal, and optimize based on the daily scale data of each flux station every year, and obtain an optimized evaporation complementary theoretical parameter for each station year; The third main module is used to establish a model of evaporation complementary theoretical parameters based on soil moisture content for different underlying surfaces according to the optimized evaporation complementary theoretical parameters and combined with soil moisture data: ， in, represents the simulated values ​​of the evaporation complementation theory parameters, a, b, c, d are constants, and SWCR represents the relative soil moisture content.

6. The device for constructing a theoretical parameter model of evaporation complementation based on soil moisture content according to claim 5, characterized in that: The device also includes a fourth main module, which is used to calculate the simulation value of the evaporation complementary theoretical parameters according to the established model of the evaporation complementary theoretical parameters based on soil moisture content of different underlying surfaces, and estimate the evaporation amount in combination with the evaporation complementary theory.

7. The device for constructing a theoretical parameter model of evaporation complementation based on soil moisture content according to claim 5, characterized in that: The device also includes a fifth main module for using a determination coefficient The evaporation estimation effect was evaluated by six indicators: root mean square error RMSE, normalized root mean square error NRMSE, slope of the straight line passing through the origin Slope, percentage bias Pbias and consistency index IA.

8. A theoretical parameter model of evaporation complementarity based on soil moisture content, characterized in that: The method described in any one of claims 1 to 4 is used to construct the model, and the evaporation amount is estimated based on the constructed model and the evaporation complementarity theory.

9. An execution system of an evaporation complementary theoretical parameter model based on soil moisture content, characterized in that: include: At least one processor, at least one memory and a communication interface; wherein the processor, memory and communication interface communicate with each other; The memory stores program instructions executed by the processor, and the processor calls the program instructions to execute the method according to any one of claims 1 to 4.

10. A non-transitory computer-readable storage medium, characterized in that: The non-transitory computer-readable storage medium stores computer instructions, which cause the computer to execute the method of any one of claims 1 to 4.

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