Methods for revising hydrological models and quantifying the impact of soil management measures on water cycle

Abstract

This invention provides a method for correcting a hydrological model and a method for quantifying the impact of soil management measures on the water cycle. The hydrological model correction method includes: obtaining soil water-holding capacity characteristics before and after implementing various soil management measures under different external environments; determining the influence coefficients of each soil management measure on each soil water-holding capacity characteristic under different external environments based on the soil water-holding capacity characteristics; and correcting the initial hydrological model based on these influence coefficients to obtain a corrected hydrological model. The corrected hydrological model is used to simulate the values ​​of water cycle elements when implementing various soil management measures under different external environments. Through this invention, the influence of the external environment on soil management measures is incorporated into the characterization of the water cycle element regulation effect of soil management measures, thus enhancing the spatial heterogeneity in the process of regulating water cycle elements.

Description

Technical Field

[0001] The embodiments of the present invention relate to the field of hydrology, and in particular to a method for correcting a hydrological model and a method for quantifying the impact of soil management measures on water cycle. Background Art

[0002] Soil management measures such as deep tillage and returning straw to fields have been widely promoted and applied in recent years due to their positive effects on improving soil quality, increasing soil storage capacity, and improving local water effectiveness. Research on the effects of soil management measures on the regulation of water cycle elements is currently mainly carried out through indoor control or field experiments, focusing on small and medium scales of soil or slopes.

[0003] The simulation and evaluation of the impact of large-scale soil management measures on water cycle elements is in the exploratory stage. However, the existing technology does not consider the impact of the external environment on the regulation of soil management measures, which weakens the spatial heterogeneity of soil management measures in regulating water cycle elements. Summary of the invention

[0004] In order to quantify the regulating effect of soil management measures on water cycle elements and take into account the impact of the external environment on soil management measures, the present invention proposes a hydrological model correction method and a method for quantifying the impact of soil management measures on water cycle.

[0005] In a first aspect, the present invention provides a method for correcting a hydrological model, the method comprising:

[0006] Obtain soil water retention characteristic indicators before and after implementing various soil management measures under different external environments;

[0007] According to the soil water retention and conductivity characteristic indicators, determine the influence coefficient of each soil management measure on each soil water retention and conductivity characteristic indicator under different external environments;

[0008] Based on the influence coefficient of each soil management measure on each soil water conductivity characteristic index under different external environments, the initial hydrological model is modified to obtain a modified hydrological model. The modified hydrological model is used to simulate the values ​​of water cycle elements when various soil management measures are implemented under different external environments.

[0009] Through the above method, the soil water retention and conductivity characteristics indices are modified by taking advantage of the different effects of soil management measures on soil water retention and conductivity characteristics in different external environments. When simulating the water cycle elements under the implementation of soil management measures, the modified model adds the influence of different external environments on the regulating effect of soil management measures, strengthens the spatial changes of soil management measures in the process of regulating water cycle elements, and thus makes the modified model more in line with the actual situation in simulating the water cycle process.

[0010] In combination with the first aspect, in a first embodiment of the first aspect, determining the influence coefficient of each soil management measure on each soil water retention and conductivity characteristic index under different external environments according to the soil water retention and conductivity characteristic index includes:

[0011] Based on the soil water retention and conductivity characteristic indicators before and after the implementation of soil management measures, the average effect value of each soil management measure on each soil water retention and conductivity characteristic indicator was determined, and the average effect value of each soil water retention and conductivity characteristic indicator was determined as the influence coefficient of each soil management measure on each soil water retention and conductivity characteristic indicator.

[0012] In combination with the first aspect, in a second embodiment of the first aspect, the initial hydrological model includes a plurality of soil water retention and conductivity characteristic indicators, and based on the influence coefficient of each soil management measure on each soil water retention and conductivity characteristic indicator under different external environments, the initial hydrological model is corrected, including:

[0013] The soil water-holding characteristic indexes in the initial hydrological model are corrected based on the influence coefficient to obtain the corrected hydrological model.

[0014] In combination with the first aspect, in a third embodiment of the first aspect, the initial hydrological model is used to characterize the water cycle process before implementing various soil management measures.

[0015] In combination with the first aspect, in a fourth embodiment of the first aspect, the initial hydrological model and the revised hydrological model are both WEP models.

[0016] In combination with the first aspect, in a fifth embodiment of the first aspect, the soil water retention characteristic index includes at least one of saturated hydraulic conductivity, saturated water content, field holding capacity, and wilting point.

[0017] In a second aspect, the present invention provides a method for quantifying the impact of soil management measures on water cycle, the method comprising:

[0018] Obtain external environmental data of the target area and soil management measures implemented in the target area;

[0019] Obtaining a first simulation result of a water cycle element based on external environmental data, soil management measures, and a revised hydrological model, wherein the revised hydrological model is established by the hydrological model revision method of the first aspect or any embodiment of the first aspect;

[0020] Obtaining second simulation results of water cycle elements based on external environmental data and the initial hydrological model;

[0021] Determine the impact of soil management measures on water cycle elements based on the first simulation results and the second simulation results.

[0022] Through the above method, the initial hydrological model is used to simulate the water cycle element process before the implementation of soil management measures, and the revised hydrological model is used to simulate the water cycle element process after the implementation of soil management measures. The processing results of the two models are compared to obtain the regulatory effects of soil management measures on water cycle elements and quantify the impact of soil management measures on water cycle elements.

[0023] In combination with the second aspect, in a first embodiment of the second aspect, determining the impact of soil management measures on water cycle elements based on the first simulation results and the second simulation results includes:

[0024]

[0025] Among them, △W i represents the impact of soil management measures on the i-th water cycle element; R 1i represents the first simulation result of the i-th water cycle element; R 2i Represents the second simulation result of the i-th water cycle element.

[0026] In a third aspect, the present invention further provides a computer device, comprising a memory and a processor, the memory and the processor being communicatively connected to each other, the memory storing computer instructions, and the processor executing the computer instructions to execute the hydrological model correction method of the first aspect or any embodiment of the first aspect, or the steps of the method for quantifying the impact of soil management measures on water cycle of the second aspect or any embodiment of the second aspect.

[0027] In a fourth aspect, the present invention further provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the hydrological model correction method of the first aspect or any embodiment of the first aspect, or the method for quantifying the impact of soil management measures on water cycle of the second aspect or any embodiment of the second aspect. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0029] Figure 1 is a flow chart of a hydrological model correction method proposed according to an exemplary embodiment;

[0030] Figure 2In an exemplary embodiment, the influence of deep tillage on soil water retention and conductivity characteristic index obtained when executing the hydrological model correction method;

[0031] Figure 3 is a schematic diagram of the effects of various soil management measures on various soil water-conductivity characteristic indicators under different underlying surfaces and meteorological conditions when a hydrological model correction method is executed in an exemplary embodiment;

[0032] Figure 4 is a flow chart of a method for quantifying the impact of soil management measures on water cycle according to an exemplary embodiment;

[0033] Figure 5 It is the boundary for the implementation of soil management measures in the Si River Basin;

[0034] Figure 6 The impact of soil management measures on the multi-year mean of monthly runoff, a water cycle element, in the Sihe River Basin;

[0035] Figure 7 The impact of soil management measures on the multi-year mean of annual runoff, a water cycle element, in the Sihe River Basin;

[0036] Figure 8 is a specific flow chart for modifying the WEP hydrological model in an exemplary embodiment;

[0037] Fig. 9 It is a schematic diagram of the hardware structure of a computer device proposed according to an exemplary embodiment. DETAILED DESCRIPTION

[0038] The technical solution of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of 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.

[0039] In addition, the technical features involved in the different embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0040] In order to quantify the impact of soil management measures on water cycle elements and take into account the influence of the external environment on the regulation and storage function of soil management measures, the present invention proposes a hydrological model correction method and a method for quantifying the impact of soil management measures on water cycle.

[0041] Figure 1 FIG. 1 is a flow chart of a hydrological model correction method according to an exemplary embodiment. Figure 1 As shown, the hydrological model correction method includes the following steps S101 to S104.

[0042] In step S101, soil water retention characteristic indicators are obtained before and after implementation of various soil management measures under different external environments.

[0043] Specifically, the external environment includes but is not limited to meteorological conditions, underlying surface factors, etc. Meteorological conditions include temperature, air pressure, humidity, wind speed, sunshine, etc. Underlying surface factors include topography (altitude, windward and leeward), sea and land location, ocean currents, vegetation cover, etc. Soil management measures include deep tillage, no-tillage, and returning straw to the field, etc.

[0044] In step S102, based on the soil water retention and conductivity characteristic index, the influence coefficient of each soil management measure on each soil water retention and conductivity characteristic index under different external environments is determined.

[0045] In step S103, based on the influence coefficient of each soil management measure on each soil water-conducting characteristic index under different external environments, the initial hydrological model is corrected to obtain a corrected hydrological model. The corrected hydrological model is used to simulate the values ​​of water cycle elements when various soil management measures are implemented under different external environments.

[0046] Specifically, the initial hydrological model may be a distributed hydrological model such as a SHE model, a VIC model, a SWAT model or a WEP model. The water cycle elements may be runoff, soil infiltration, precipitation, evaporation, and the like.

[0047] Through the above-mentioned embodiments, the soil water retention and conductivity characteristic indicators of soil are corrected in the initial hydrological model by utilizing the influence of soil management measures under different external environments. When simulating the water cycle elements under the implementation of soil management measures, the corrected model adds the influence of different external environments on the regulating effect of soil management measures, strengthens the spatial changes of soil management measures in the process of regulating water cycle elements, and thus makes the corrected model more in line with the actual situation in simulating the water cycle process.

[0048] Figure 2 In an exemplary embodiment, deep tillage is obtained when the hydrological model correction method is executed. The soil water-holding characteristic indicators include saturated hydraulic conductivity, saturated water content, field water holding capacity, and wilting point. Figure 2 Where n represents the number of experimental groups. Figure 2 It can be seen that after the implementation of deep tillage measures, the above-mentioned soil water retention and conductivity characteristics were affected to varying degrees.

[0049] Exemplarily, the soil water-holding conductivity characteristic index includes at least one of saturated hydraulic conductivity, saturated water content, field holding capacity, and wilting point. The soil water-holding conductivity characteristic index in the initial hydrological model is corrected by the influence of soil management measures on the above soil water-holding conductivity characteristic index, and a corrected hydrological model can be obtained.

[0050] In one example, the above-mentioned step S102 specifically includes: determining the average effect value of each soil management measure on each soil water retention and conductivity characteristic index based on each soil water retention and conductivity characteristic index before the implementation of the soil management measures and each soil water retention and conductivity characteristic index after the implementation of the soil management measures, and determining the average effect value of each water cycle element index as the influence coefficient of each soil management measure on each soil water retention and conductivity characteristic index.

[0051] In an optional embodiment, the average effect value of each soil management measure on each soil water retention characteristic index is calculated by the following steps:

[0052] First, experimental data is obtained. For example, the experimental data includes soil water retention characteristic index values ​​before and after the implementation of typical soil management measures. Experimental data can be screened through literature research, or field experiments can be conducted to supplement external environmental conditions that are less considered in the literature, and obtained using image pickup software.

[0053] Then, the experimental data were formatted and statistically analyzed to determine the average effect value and confidence interval of soil management measures on soil water retention characteristics under different environmental conditions. Taking the meta-analysis method as an example, (1) the logarithmic response rate (LRR) was calculated as the effect value of the influence of soil management measures on each soil water retention characteristic index: LRR = ln(X t / X c )=lnX t -lnX c , where X t It represents the average value of the water-conductivity characteristics of a soil obtained through multiple experimental data after the implementation of soil measures, X c It represents the mean value of the soil water retention characteristics obtained through multiple experimental data before the implementation of soil measures; (2) Calculate the average effect value (LR) of each soil management measure on each soil water retention characteristic indicator: Through the maximum likelihood method, a random effect model is established to calculate the average effect value LR and 95% confidence interval based on LRR.

[0054] Figure 3 is a schematic diagram showing the effect of various soil management measures on soil water-conductivity characteristic indicators under different underlying surfaces and meteorological conditions when executing the hydrological model correction method in an exemplary embodiment. aiiiIt represents the average effect value of the regulatory influence of soil management measure a on characteristic index i under underlying surface i and meteorological conditions i.

[0055] For example, taking deep tillage as a soil management measure, under the same meteorological and different underlying surface conditions (where the underlying surface includes land use and soil texture), the average effect values ​​of deep tillage on soil water retention and conductivity characteristic indicators are shown in Table 1.

[0056] Table 1

[0057]

[0058] In another example, the initial hydrological model includes multiple soil water retention and conductivity characteristic indicators. Based on the influence coefficients of various soil management measures on various soil water retention and conductivity characteristic indicators under different external environments, the revised hydrological model is obtained by correcting the various soil water retention and conductivity characteristic indicators in the initial hydrological model. When simulating the influence of soil management measures on water cycle elements, the revised hydrological model takes into account the influence of different external environments on the regulation and storage of soil management measures, so that the simulation results are more in line with the actual situation.

[0059] In the embodiment of the present invention, each soil water-holding characteristic index in the initial hydrological model is corrected by the influence coefficient, specifically:

[0060] RE i =M r ×LRar i j ×RE i0

[0061] WF i =M f ×LRaf i j ×WF i0

[0062]

[0063]

[0064] Where i represents the number of soil layers, i = 1, 2, ..., n; j represents different environmental factor combination scenarios, j = 1, 2, ..., n; RE i0 and RE i Respectively represent the wilting point of the i-th layer of soil before and after the implementation of soil management measures (in % Vol); WF i0 and WF i Respectively represent the field water holding capacity of the i-th soil layer before and after the implementation of soil management measures (in % Vol); WM i0 and WM iRespectively represent the saturated water content of the i-th layer of soil before and after the implementation of soil management measures (in % Vol); Ksat i0 and Ksat i Respectively represent the saturated hydraulic conductivity of the i-th layer of soil before and after the implementation of soil management measures (in mm / s); M r 、M f 、M m 、M k is the correction factor for soil management measures; They respectively represent the average effect values ​​of the influence of soil management measures a on the wilting point, field support, saturated water content and saturated hydraulic conductivity of the i-th layer of soil under the conditions of j combinations of environmental factors. Exemplarily, the combination scenarios of different environmental factors can be a combination of multi-year rainfall P between 400-800 mm, land use as cultivated land, and soil type as loam. In the embodiment of the present invention, soil stratification is divided into three layers according to soil depth: less than 15 cm, 15 to 30 cm, and greater than 30 cm.

[0065] The initial hydrological model is used to characterize the water cycle process before the implementation of various soil management measures, and simulate the values ​​of water cycle elements under different environments when no soil management measures are implemented. In the embodiment of the present invention, the initial hydrological model and the repaired hydrological model are WEP models.

[0066] In the embodiment of the present invention, the model parameters in the initial hydrological model are calibrated and verified based on the underlying surface of the Sihe River Basin and the measured meteorological and hydrological data, wherein the coefficient of determination (R 2 ), Nash coefficient (NSE) and relative error (RSEM) were used as evaluation criteria. The model parameters in the revised hydrological model were the model parameters in the initial hydrological model after calibration and verification.

[0067] Figure 4 FIG. 1 is a flow chart of a method for quantifying the impact of soil management measures on water cycle according to an exemplary embodiment. Figure 4 As shown, the method for quantifying the impact of soil management measures on water cycle includes the following steps S401 to S404.

[0068] In step S401, external environmental data of the target area and soil management measures implemented in the target area are obtained.

[0069] In an optional embodiment, the target area is determined by the following steps: first, data collection and integration are carried out by using aerial remote sensing, space remote sensing, ground monitoring and field exploration to determine the construction boundary of typical soil management measures in the basin; then, the construction boundary is vectorized by using geographic information system software to obtain the boundary of the target area, wherein the geographic information system software can obtain the boundary for the conversion tool Conversion Tools in ARCGIS. For example, Figure 5 Shown are the implementation boundaries of soil management measures in the Si River Basin.

[0070] In step S402, a first simulation result of a water cycle element is obtained based on external environmental data, soil management measures and a revised hydrological model, wherein the revised hydrological model is established by the hydrological model correction method provided in the above embodiment.

[0071] In step S403, a second simulation result of the water cycle element is obtained based on the external environment data and the initial hydrological model.

[0072] In step S404, the impact of soil management measures on water cycle elements is determined based on the first simulation result and the second simulation result.

[0073] Specifically, the simulation results include water cycle elements such as runoff, soil infiltration, precipitation, evaporation, etc.

[0074] Through the above embodiment, the initial hydrological model is used to simulate the water cycle element process before the implementation of soil management measures, and the revised hydrological model is used to simulate the water cycle element process after the implementation of soil management measures. The processing results of the two models are compared to obtain the regulatory effects of soil management measures on water cycle elements, thereby realizing the quantification of the effects of soil management measures on water cycle elements.

[0075] In one example, the impact of soil management measures on water cycle elements is calculated in step S404 using the following formula:

[0076]

[0077] Among them, △W i represents the impact of soil management measures on the i-th water cycle element; R 1i represents the first simulation result of the i-th water cycle element; R 2i Represents the second simulation result of the i-th water cycle element.

[0078] Figure 6 The impact of soil management measures on the multi-year mean of monthly runoff, a water cycle element, in the Sihe River Basin. Figure 7The impact of soil management measures on the multi-year mean of annual runoff, a water cycle element, in the Sihe River Basin. Figure 6 and Figure 7 In the example of the Sihe River Basin, the data corresponding to the "original model" refers to the multi-year average of runoff before the implementation of soil management measures (including no-tillage, deep tillage, and straw return to the field) obtained by simulating the initial hydrological model, and the data corresponding to the "improved model" refers to the multi-year average of runoff after the implementation of soil management measures obtained by simulating the revised hydrological model. The impact of soil management measures on water cycle elements is calculated by the data corresponding to the "original model" and the data corresponding to the "improved model". The quantification method in the embodiment of the present invention shows that compared with the original model, the monthly average runoff simulation value of the improved model is reduced by 5.38%; the multi-year average runoff is reduced by 5.44%.

[0079] Figure 8 This is a specific flow chart for modifying the WEP hydrological model in an exemplary embodiment. The influence coefficient matrix of the target area and the influence coefficient of the soil management measures on the soil water retention characteristic index obtained by vectorizing the soil management measure boundary is input into the initial WEP hydrological model as a basic file. In the model operation main program, the soil water retention characteristic index in the initial WEP hydrological model is modified using the influence coefficient matrix.

[0080] Fig. 9 FIG. 1 is a schematic diagram of a hardware structure of a computer device according to an exemplary embodiment. Fig. 9 As shown, the device includes one or more processors 910 and a memory 920, and the memory 920 includes a persistent memory, a volatile memory, and a hard disk. Fig. 9 A processor 910 is taken as an example. The device may also include: an input device 930 and an output device 940.

[0081] The processor 910, the memory 920, the input device 930 and the output device 940 may be connected via a bus or other means. Fig. 9 The example of connecting through bus is taken in the following.

[0082] The processor 910 may be a central processing unit (CPU). The processor 910 may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or a combination of the above chips. A general-purpose processor may be a microprocessor or the processor may be any conventional processor.

[0083] The memory 920 is a non-transient computer-readable storage medium, including persistent memory, volatile memory and hard disk, which can be used to store non-transient software programs, non-transient computer executable programs and modules, such as the program instructions / modules corresponding to the hydrological model correction method and the method for quantifying the impact of soil management measures on the water cycle in the embodiments of the present application. The processor 910 executes various functional applications and data processing of the server by running the non-transient software programs, instructions and modules stored in the memory 920, that is, to implement any of the above-mentioned hydrological model correction methods and the method for quantifying the impact of soil management measures on the water cycle.

[0084] The memory 920 may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required by at least one function; the data storage area may store data required for use, etc. In addition, the memory 920 may include a high-speed random access memory, and may also include a non-transitory memory, such as at least one disk storage device, a flash memory device, or other non-transitory solid-state storage device. In some embodiments, the memory 920 may optionally include a memory remotely arranged relative to the processor 910, and these remote memories may be connected to the data processing device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0085] The input device 930 can receive input digital or character information and generate signal input related to user settings and function control. The output device 940 can include display devices such as display screens.

[0086] One or more modules are stored in the memory 920, and when executed by one or more processors 910, the execution is as follows: Figure 1 The method shown.

[0087] The above-mentioned product can execute the method provided by the embodiment of the present invention, and has the functional modules and beneficial effects corresponding to the execution method. For technical details not described in detail in this embodiment, please refer to Figure 1 Related description of the illustrated embodiment.

[0088] The embodiment of the present invention further provides a non-transitory computer storage medium, which stores computer executable instructions, and the computer executable instructions can execute the correction and quantification methods in any of the above method embodiments. Among them, the storage medium can be a disk, an optical disk, a read-only memory (ROM), a random access memory (RAM), a flash memory (Flash Memory), a hard disk drive (HDD) or a solid-state drive (SSD), etc.; the storage medium can also include a combination of the above types of memory.

[0089] It should be noted that, in this article, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0090] The above is only a specific embodiment of the present invention, so that those skilled in the art can understand or implement the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but should conform to the widest scope consistent with the principles and novel features applied herein.

Claims

1. A hydrological model correction method, characterized in that: The method comprises: Obtaining soil water retention characteristic indicators before and after implementing various soil management measures under different external environments, wherein the soil water retention characteristic indicators include at least one of saturated hydraulic conductivity, saturated water content, field holding capacity, and wilting point; According to the soil water retention and conductivity characteristic index, determining the influence coefficient of each soil management measure on each soil water retention and conductivity characteristic index under different external environments; Based on the influence coefficient of each soil management measure on each soil water-holding characteristic index under different external environments, the initial hydrological model is modified to obtain a modified hydrological model, wherein the modified hydrological model is used to simulate the values ​​of water cycle elements when each soil management measure is implemented under different external environments, and the initial hydrological model is used to characterize the water cycle process before the implementation of each soil management measure, and simulate the values ​​of water cycle elements under different environments when no soil management measures are implemented; Determining the influence coefficient of each soil management measure on each soil water retention and conductivity characteristic index under different external environments according to the soil water retention and conductivity characteristic index includes: Based on the soil water retention and conductivity characteristic indicators before and after the implementation of soil management measures, the average effect value of each soil management measure on each soil water retention and conductivity characteristic indicator is determined, and the average effect value of each soil water retention and conductivity characteristic indicator is determined as the influence coefficient of each soil management measure on each soil water retention and conductivity characteristic indicator; The initial hydrological model includes a plurality of soil water-holding characteristic indicators. Based on the influence coefficient of each soil management measure on each soil water-holding characteristic indicator under different external environments, the initial hydrological model is corrected, including: Based on the influence coefficient, each soil water-holding characteristic index in the initial hydrological model is corrected to obtain a corrected hydrological model.

2. The method according to claim 1, characterized in that The initial hydrological model is used to characterize the water cycle process before implementing various soil management measures.

3. The method according to claim 1, characterized in that The initial hydrological model and the revised hydrological model are both WEP models.

4. A method for quantifying the impact of soil management measures on water cycle, characterized in that: The method comprises: Obtaining external environmental data of the target area and soil management measures implemented in the target area; Obtaining a first simulation result of a water cycle element based on the external environmental data, the soil management measures and a modified hydrological model, wherein the modified hydrological model is established by the hydrological model modification method according to any one of claims 1 to 3; Obtaining a second simulation result of a water cycle element based on the external environment data and the initial hydrological model; The impact of the soil management measures on the water cycle elements is determined based on the first simulation result and the second simulation result.

5. The method according to claim 4, characterized in that The determining the impact of the soil management measure on the water cycle element based on the first simulation result and the second simulation result includes: in, △W i Indicates that the soil management measures mentioned above have an impact on i The impact of each water cycle element; R 1i Indicates i First simulation results of water cycle elements; R 2i Indicates i Second simulation results for the water cycle elements.

6. A computer device, characterized in that: The invention comprises a memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the hydrological model correction method described in any one of claims 1 to 3, or executes the steps of the method for quantifying the impact of soil management measures on water cycle described in claim 4 or 5 by executing the computer instructions.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the hydrological model correction method according to any one of claims 1 to 3, or the method for quantifying the impact of soil management measures on water cycle according to claim 4 or 5 are implemented.

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