Soil column device and method for simulating soil water and salt leaching under drip irrigation conditions

Abstract

The present application provides a soil column device and method for simulating soil water and salt leaching under drip irrigation conditions. The method generates simulated moisture information at different depths within the soil column device; pre-installs intelligent moisture sensors and intelligent salt concentration sensors in each soil layer of the soil column device, collects soil moisture information via the pre-installed intelligent moisture sensors, and then determines the degree of fit between the simulated moisture information and the soil moisture information; collects the salt concentration within the soil column device during drip irrigation via the pre-installed intelligent salt concentration sensor, and determines the water-salt permeability coefficient during water and salt migration within the soil column device based on the soil moisture information and salt concentration; adjusts the saturated hydraulic conductivity based on the degree of fit; and uses the adjustment result and the water-salt permeability coefficient to determine the sensitivity of the soil's saturated hydraulic conductivity to water and salt leaching. The present application's solution allows for adaptive adjustment of the leaching simulation process under the premise of dynamic changes in soil physical properties.

Description

Technical Field

[0001] The present application relates to the technical field of soil column experimental detection, and more specifically, to a soil column device and method for simulating soil water and salt leaching under drip irrigation conditions. Background Art

[0002] Soil column experiment is an experimental detection method used to study the migration and transformation processes of substances in soil systems. It is widely used in fields such as soil pollution remediation, farmland water and fertilizer management, and groundwater pollution research. During the experiment, the soil response under different environmental conditions can be simulated by controlling factors such as liquid supply rate, soil type, and pollutant concentration; for example, the adsorption, desorption and migration characteristics of heavy metals or organic pollutants in soil can be studied, or the distribution patterns of water and nutrients in soil can be analyzed; the accuracy and repeatability of soil column experiments make them an important tool for understanding soil ecological processes. By combining numerical simulation and chemical analysis, this technology can provide a scientific basis for environmental pollution control and agricultural management.

[0003] The simulation of soil water and salt leaching using a soil column device is a method for studying the migration patterns of water and salt in soil under laboratory conditions. It is widely used in the fields of agricultural water and salt management, soil improvement, and saline-alkali land management. Based on the soil column device, this technology can accurately simulate the water and salt movement process under natural conditions, and reveal key influencing factors by controlling experimental variables. In agricultural research, soil column devices are widely used to evaluate the effects of different irrigation and drainage schemes on soil salt leaching efficiency, providing support for optimizing agricultural water resource utilization and reducing soil secondary salinization. At the same time, this technology is also used to study the migration behavior of pollutants in the soil-groundwater system, assisting in the remediation of contaminated sites and the protection of groundwater resources. In the existing simulation of soil water and salt leaching using a soil column device, the HYDRUS-1D model is usually used to simulate the soil water and salt leaching of the soil column device. However, in the existing HYDRUS-1D model In the process of simulation, the characteristic parameters of the soil are often determined by combining the basic properties of the soil with empirical equations, thereby ignoring the physical properties that change dynamically during the water-salt leaching process (for example, during the water-salt leaching process, the distribution and concentration of soil salts will change with time and water movement). This will lead to a low fit between the simulated moisture content and the measured soil moisture content (that is, the deviation between the simulated moisture content and the measured soil moisture content is large), resulting in the simulation results being inconsistent with the actual water-salt leaching process in the soil column device; therefore, how to adaptively adjust the simulation process of leaching under the premise of dynamic changes in the physical properties of the soil has become a difficult problem faced by the industry. Summary of the Invention

[0004] The present application provides a soil column device and method for simulating soil water and salt leaching under drip irrigation conditions, which can adaptively adjust the simulation process of leaching under the premise of dynamic changes in the physical properties of the soil.

[0005] In a first aspect, the present application provides a method for simulating soil water-salt leaching, comprising the following steps:

[0006] Based on the distribution of different soil particles in the soil column device, the drip irrigation process of water and salt leaching is simulated, and then the simulated moisture information at different depths in the soil column device is generated;

[0007] Pre-setting an intelligent moisture sensor and an intelligent salt concentration sensor in each soil layer of the soil column device, automatically collecting soil moisture information at different depths in the soil column device during drip irrigation through the preset intelligent moisture sensor, and then determining the fit between the simulated moisture information and the soil moisture information;

[0008] The preset intelligent salt concentration sensor automatically collects the salt concentration in the soil column device during drip irrigation, and determines the water-salt permeability coefficient during the migration of water and salt in the soil column device based on the soil moisture information and the salt concentration;

[0009] adjusting the saturated hydraulic conductivity of the soil when the soil column device performs drip irrigation simulation based on the fit between the simulated moisture information and the soil moisture information;

[0010] The sensitivity of the saturated hydraulic conductivity of the soil to water and salt leaching is determined based on the adjustment result and the water-salt permeability coefficient.

[0011] In some embodiments, determining the degree of fit between the simulated moisture information and the soil moisture information specifically includes:

[0012] Determining the fitting deviation between the simulated moisture information and the soil moisture information at each sampling time at the selected depth;

[0013] determining an average water content at a selected depth in a soil column device using the soil moisture information;

[0014] The degree of fit between the simulated moisture information and the soil moisture information is determined by all fitting deviations and the average moisture content.

[0015] In some embodiments, determining the water-salt permeability coefficient during water and salt migration in the soil column device based on the soil moisture information and the salt concentration specifically includes:

[0016] determining a permeability ratio during solute migration using the soil moisture information and the salt concentration;

[0017] Obtain the degradation rate of salt in the soil column device;

[0018] The water-salt permeability coefficient during the migration of water and salt in the soil column device is determined by the permeability ratio and the degradation rate.

[0019] In some embodiments, determining the permeability ratio during solute migration using the soil moisture information and the salt concentration specifically includes:

[0020] Determine the moisture change between each soil moisture content and adjacent soil moisture contents corresponding to a selected depth in the soil column device using the soil moisture information;

[0021] determining the amount of salt variation between each salt concentration and adjacent salt concentrations at a selected depth in the soil column apparatus;

[0022] The osmotic ratio during solute migration is determined by the total water change and the total salt change.

[0023] In some embodiments, determining the water-salt permeability coefficient during water and salt migration in the soil column device using the permeability ratio and the degradation rate specifically includes:

[0024] Determining the salt migration ratio in the soil through the degradation rate;

[0025] The water-salt permeability coefficient during the migration of water and salt in the soil column device is determined based on the salt migration ratio and the permeability ratio.

[0026] In some embodiments, adjusting the saturated hydraulic conductivity of the soil by the soil column device during drip irrigation simulation based on the degree of fit between the simulated moisture information and the soil moisture information specifically includes:

[0027] Setting a fitting threshold for the drip irrigation simulation;

[0028] Obtain the saturated hydraulic conductivity of the soil when the soil column device is performing drip irrigation simulation;

[0029] determining a transitional saturated hydraulic conductivity based on a fit between the simulated moisture information and the soil moisture information and the saturated hydraulic conductivity;

[0030] determining an optimal fitting degree of the drip irrigation simulation by the transition saturated hydraulic conductivity;

[0031] When the optimized fitting degree is greater than or equal to the fitting degree threshold, the transitional saturated hydraulic conductivity is used as an adjustment result of the saturated hydraulic conductivity of the soil when the soil column device performs drip irrigation simulation.

[0032] In some embodiments, determining the sensitivity of the saturated hydraulic conductivity of the soil to water-salt leaching based on the adjustment result and the water-salt permeability coefficient specifically includes:

[0033] Obtain the adjustment results of the saturated hydraulic conductivity of the soil when the soil column device performs drip irrigation simulation;

[0034] determining a hydraulic conductivity offset according to the adjustment result;

[0035] determining a disturbance amount of the water-salt permeability coefficient;

[0036] The sensitivity of the saturated hydraulic conductivity of the soil to water-salt leaching is determined based on the hydraulic conductivity offset and the disturbance of the water-salt permeability coefficient.

[0037] In a second aspect, the present application provides a soil column device for simulating soil water and salt leaching under drip irrigation conditions, comprising a soil water and salt leaching simulation unit, wherein the soil water and salt leaching simulation unit comprises:

[0038] A generation module is used to simulate the water-salt leaching process through drip irrigation based on the distribution of different soil particles in the soil column device, thereby generating simulated moisture information at different depths in the soil column device;

[0039] a processing module configured to automatically collect soil moisture information at different depths in the soil column device during drip irrigation by using the preset intelligent moisture sensors after setting intelligent moisture sensors and intelligent salt concentration sensors in each soil layer of the soil column device, and then determine a fit between the simulated moisture information and the soil moisture information;

[0040] The processing module is further configured to automatically collect the salt concentration in the soil column device during drip irrigation through the preset intelligent salt concentration sensor, and determine the water-salt permeability coefficient during the migration of water and salt in the soil column device based on the soil moisture information and the salt concentration;

[0041] The processing module is further configured to adjust the saturated hydraulic conductivity of the soil when the soil column device performs drip irrigation simulation based on the degree of fit between the simulated moisture information and the soil moisture information;

[0042] An execution module is used to determine the sensitivity of the saturated hydraulic conductivity of the soil during water-salt leaching based on the adjustment result and the water-salt permeability coefficient.

[0043] In a third aspect, the present application provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the above-mentioned soil water-salt leaching simulation method when executing the computer program.

[0044] In a fourth aspect, the present application provides a computer-readable storage medium storing a computer program, which implements the steps of the above-mentioned soil water-salt leaching simulation method when executed by a processor.

[0045] The technical solutions provided by the embodiments disclosed in this application have the following beneficial effects:

[0046] In the soil column device and method for simulating soil water and salt leaching under drip irrigation conditions provided in the present application, the water and salt leaching process is simulated by drip irrigation through the distribution of different soil particles in the soil column device, thereby generating simulated moisture information at different depths in the soil column device; intelligent moisture sensors and intelligent salt concentration sensors are pre-set in each soil layer of the soil column device, and the preset intelligent moisture sensors are used to automatically collect soil moisture information at different depths in the soil column device during drip irrigation, thereby determining the degree of fit between the simulated moisture information and the soil moisture information; the preset intelligent salt concentration sensor is used to automatically collect the salt concentration in the soil column device during drip irrigation, and the water-salt permeability coefficient during water and salt migration in the soil column device is determined based on the soil moisture information and the salt concentration; the saturated hydraulic conductivity of the soil of the soil column device during drip irrigation simulation is adjusted based on the degree of fit between the simulated moisture information and the soil moisture information; and the sensitivity of the saturated hydraulic conductivity of the soil to water and salt leaching is determined based on the adjustment result and the water-salt permeability coefficient.

[0047] It can be seen that in this application, the water-salt leaching process is simulated by drip irrigation through the distribution of different soil particles in the soil column device, and then the simulated moisture information of different depths in the soil column device is generated. Then, an intelligent moisture sensor and an intelligent salt concentration sensor are set in each soil layer of the soil column device. The soil moisture information of different depths in the soil column device during drip irrigation is automatically collected through the preset intelligent moisture sensor, and then the degree of consistency between the simulated moisture information and the soil moisture information is determined, that is, the degree of fit, so as to dynamically capture the deviation between the simulation and the actual situation. Subsequently, the degree of fit is used as a feedback parameter so that the simulation model can be adjusted according to the real-time changes in soil moisture content. Iterative optimization is performed (i.e., adjusting the saturated hydraulic conductivity of the soil during drip irrigation simulation using the soil column device). Then, by real-time monitoring of salt concentration and combining it with moisture information, the water-salt permeability coefficient is dynamically calculated, thereby improving the simulation capability of solute migration behavior while adapting the model to changes in the water-salt ratio in the soil. Finally, based on the adjustment results and the water-salt permeability coefficient, the sensitivity of the saturated hydraulic conductivity of the soil to water-salt leaching is determined, thereby identifying the key parameters and processes that affect leaching, and providing the simulation process with an adaptive adjustment mechanism. In summary, this solution can adaptively adjust the simulation process of leaching under the premise of dynamic changes in soil physical properties. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 is a schematic flow chart of a method for simulating soil water-salt leaching according to some embodiments of the present application;

[0049] Figure 2is a schematic diagram of a process for generating simulated moisture information according to some embodiments of the present application;

[0050] Figure 3 is a schematic diagram of a process for determining a degree of fit according to some embodiments of the present application;

[0051] Figure 4 is a schematic structural diagram of a soil water-salt leaching simulation unit according to some embodiments of the present application;

[0052] Figure 5 This is a diagram of the internal structure of a computer device for implementing a soil water-salt leaching simulation method according to some embodiments of the present application. DETAILED DESCRIPTION

[0053] In order to better understand the technical solution in this embodiment, the technical solution in this embodiment will be described in detail below with reference to the accompanying drawings and specific implementation methods.

[0054] refer to Figure 1 , which is a flow chart of a soil water-salt leaching simulation method according to some embodiments of the present application. The soil water-salt leaching simulation method 100 mainly includes the following steps:

[0055] In step 101, a drip irrigation simulation is performed on the water-salt leaching process based on the distribution of different soil particles in the soil column device, thereby generating simulated moisture information at different depths in the soil column device.

[0056] Preferably, the soil particles in the soil column device can be settled in the liquid, and the distribution of soil particles in each layer after different time intervals can be measured, and then the physical properties of the soil can be deduced from the distribution of the soil particles, and the simulation parameters (soil volume moisture content, soil permeability coefficient, residual moisture content, saturated moisture content, saturated permeability coefficient and inverse of air suction) during drip irrigation simulation can be derived in combination with empirical formulas. Figure 2 As shown, this figure is a schematic diagram of the process of generating simulated moisture information shown in some embodiments of the present application. After all simulation parameters are taken as input, the HYDRUS-1D model in the prior art is used to describe the soil moisture characteristic curve in the soil column device. Finally, the uniform moisture content in the soil column device is used as the initial condition, and the input water flow of the drip irrigation device is used as the boundary condition. The Richards equation and numerical solution technology are combined to generate the simulated moisture content at different depths in the soil column device, and then all the simulated moisture contents are used as the simulated moisture information at different depths in the soil column device. In other embodiments, other methods can also be used to generate, which is not limited here.

[0057] In step 102, an intelligent moisture sensor and an intelligent salt concentration sensor are pre-set in each soil layer of the soil column device, and the preset intelligent moisture sensor is used to automatically collect soil moisture information at different depths in the soil column device during drip irrigation, thereby determining the degree of fit between the simulated moisture information and the soil moisture information.

[0058] It should be noted that after drip irrigation of the soil column device begins, the present application pre-sets intelligent moisture sensors and intelligent salt concentration sensors at different depths in the soil column device (such as 10 cm, 30 cm, 50 cm, etc.), that is, in each soil layer. The intelligent moisture sensor collects the soil moisture content in the soil in real time at a predetermined sampling period, and the collected soil moisture content is used as the soil moisture information at different depths in the soil column device. In other embodiments, other methods can also be used to determine it, which is not limited here. In addition, the predetermined sampling period is 3 minutes, and the data dimension between the simulated moisture information and the soil moisture information is the same.

[0059] It should be noted that this application selects 30cm depth in the soil column device as the selected depth, so as to retain most of the information under the premise of reducing the computational complexity. In some embodiments, reference Figure 3 As shown in FIG, this figure is a schematic diagram of a process for determining the degree of fit shown in some embodiments of the present application. The degree of fit between the simulated moisture information and the soil moisture information can be determined by the following steps:

[0060] First, in step 1021, a fitting deviation between the simulated moisture information and the soil moisture information at each sampling time at a selected depth is determined;

[0061] Then, in 1022, the average water content at the selected depth in the soil column device is determined using the soil moisture information;

[0062] Finally, in 1023 , the degree of fit between the simulated moisture information and the soil moisture information is determined using all fitting deviations and the average moisture content.

[0063] In a specific implementation, determining the fitting deviation between the simulated moisture information and the soil moisture information at the selected depth at each sampling moment can be achieved in the following manner: first, selecting a sampling moment, obtaining the simulated moisture content corresponding to the simulated moisture information and the soil moisture content corresponding to the soil moisture information at the selected depth in the soil column device at the sampling moment, then using the difference between the simulated moisture content and the soil moisture content as the fitting deviation between the simulated moisture information and the soil moisture information at the sampling moment, repeating the above steps to determine the fitting deviation between the simulated moisture information and the soil moisture information at the remaining sampling moments, thereby obtaining the fitting deviation between the simulated moisture information and the soil moisture information at the selected depth at each sampling moment; as a preferred embodiment, determining the average moisture content at the selected depth in the soil column device using the soil moisture information can be achieved in the following manner: first, obtaining the soil moisture content corresponding to the soil moisture information at the selected depth in the soil column device at all sampling moments, then using the average of all soil moisture contents as the average moisture content. In other embodiments, other methods can also be used for determination, which are not limited here.

[0064] In a specific implementation, the degree of fit between the simulated moisture information and the soil moisture information can be determined by using all fitting deviations and the average moisture content. This can be achieved by first adding the square values ​​of all fitting deviations and comparing the sum with the sum of the square differences between each soil moisture content in the soil moisture information and the average moisture content. Then, the degree of fit between the simulated moisture information and the soil moisture information is obtained by subtracting the above result from 1. In other embodiments, other methods can also be used for determination, which is not limited here.

[0065] It should be noted that the fitting deviation described in this application refers to the difference between the simulated moisture content corresponding to each sampling moment and the measured soil moisture content at the selected depth in the soil column device, which reflects the degree of difference between the simulated moisture content and the corresponding soil moisture content. The larger the fitting deviation, the higher the degree of difference between the simulated moisture content and the corresponding soil moisture content; the smaller the fitting deviation, the lower the degree of difference between the simulated moisture content and the corresponding soil moisture content; in addition, the degree of fit between the soil moisture contents reflects the degree of consistency between the simulated moisture content and the corresponding soil moisture content. The larger the degree of fit, the higher the degree of consistency between the simulated moisture content and the corresponding soil moisture content; the smaller the degree of fit, the lower the degree of consistency between the simulated moisture content and the corresponding soil moisture content.

[0066] In step 103, the salt concentration in the soil column device during drip irrigation is automatically collected by the preset intelligent salt concentration sensor, and the water-salt permeability coefficient during the migration of water and salt in the soil column device is determined based on the soil moisture information and the salt concentration.

[0067] It should be noted that the intelligent salt concentration sensor calculates the salt concentration by measuring the electrical conductivity of the soil solution. In addition, the data dimension of the salt concentration is the same as the data dimension of the soil moisture content. In addition, it should be noted that the present application selects a depth of 30 cm in the soil column device as the selected depth, thereby retaining most of the information while reducing the computational complexity. In some embodiments, the water-salt permeability coefficient during the migration of water and salt in the soil column device can be determined based on the soil moisture information and the salt concentration. The following steps can be used to achieve this:

[0068] determining a permeability ratio during solute migration using the soil moisture information and the salt concentration;

[0069] Obtain the degradation rate of salt in the soil column device;

[0070] The water-salt permeability coefficient during the migration of water and salt in the soil column device is determined by the permeability ratio and the degradation rate.

[0071] In some embodiments, determining the permeability ratio during solute migration using the soil moisture information and the salt concentration can be achieved by using the following steps:

[0072] Determine the moisture change between each soil moisture content and adjacent soil moisture contents corresponding to a selected depth in the soil column device using the soil moisture information;

[0073] determining the amount of salt variation between each salt concentration and adjacent salt concentrations at a selected depth in the soil column apparatus;

[0074] The osmotic ratio during solute migration is determined by the total water change and the total salt change.

[0075] In a specific implementation, determining the amount of moisture change between each soil moisture content and the adjacent soil moisture content corresponding to a selected depth in the soil column device using the soil moisture information is achieved in the following manner: first, the soil moisture content at the next sampling moment of each soil moisture content in the soil moisture information is used as the adjacent soil moisture content of each soil moisture content; then, the absolute value of the difference between each soil moisture content and the corresponding adjacent soil moisture content is used as the moisture change, thereby obtaining the amount of moisture change between each soil moisture content and the adjacent soil moisture content corresponding to the selected depth in the soil column device; as a preferred embodiment, determining the amount of salt change between each salt concentration and the corresponding adjacent salt concentration at the selected depth in the soil column device can be achieved in the following manner: first, the salt concentration at the next sampling moment of each salt concentration is used as the adjacent salt concentration of each salt concentration; then, the absolute value of the difference between each salt concentration and the corresponding adjacent salt concentration is used as the salt change, thereby obtaining the amount of salt change between each salt concentration and the adjacent salt concentration at the selected depth in the soil column device.

[0076] It should be noted that the moisture change reflects the degree of change of the soil moisture content in the soil column device at adjacent sampling moments. The greater the moisture change, the higher the degree of change of the soil moisture content in the soil column device at adjacent sampling moments. The smaller the moisture change, the lower the degree of change of the soil moisture content in the soil column device at adjacent sampling moments. Similarly, the salt change reflects the degree of change of the salt concentration in the soil column device at adjacent sampling moments. The greater the salt change, the higher the degree of change of the salt concentration in the soil column device at adjacent sampling moments. The smaller the salt change, the lower the soil column. The lower the degree of change of the salt concentration in the device at adjacent sampling moments; therefore, the permeability ratio described in this application, that is, the relative rate of migration of moisture and salt in the soil in the soil column device, the larger the permeability ratio, the faster the migration rate of moisture in the soil relative to salt, and the smaller the permeability ratio, the faster the migration rate of salt in the soil relative to moisture; in specific implementation, determining the permeability ratio during solute migration by all moisture changes and all salt changes can be achieved in the following manner, namely: comparing the sum of all moisture changes with the sum of all salt changes as the permeability ratio during solute migration.

[0077] It should be noted that before drip irrigation begins, the present application measures the initial salt concentration of the soil column device at a selected depth through a conductivity sensor, obtains the salt concentration at all sampling moments at the selected depth in the soil column device, and then selects the salt concentration at a sampling moment, subtracts the salt concentration at the previous sampling moment from the salt concentration at the sampling moment, and compares the result with the salt concentration at the sampling moment, repeats the above steps, determines the result corresponding to the salt concentration at each sampling moment, and finally, takes the average value of all the salt concentration corresponding results as the degradation rate of salt in the soil during the drip irrigation process. In other embodiments, other methods can also be used to achieve this, which is not limited here.

[0078] In some embodiments, determining the water-salt permeability coefficient during water and salt migration in the soil column device using the permeability ratio and the degradation rate can be achieved by using the following steps:

[0079] Determining the salt migration ratio in the soil through the degradation rate;

[0080] The water-salt permeability coefficient during the migration of water and salt in the soil column device is determined based on the salt migration ratio and the permeability ratio.

[0081] As a preferred embodiment, determining the salt migration ratio in the soil through the degradation rate can be achieved in the following manner, namely: taking the result of subtracting the degradation rate from 1 as the salt migration ratio in the soil; as a preferred embodiment, determining the water-salt permeability coefficient during water and salt migration in the soil column device based on the salt migration ratio and the permeability ratio can be achieved in the following manner, namely: taking the product of the permeability ratio and the salt migration ratio as the water-salt permeability coefficient during water and salt migration in the soil column device. In other embodiments, other methods can also be used, which are not limited here.

[0082] It should be noted that the salt migration ratio described in this application refers to the ratio of the amount of salt migrated in the soil to the initial amount of salt during drip irrigation, which reflects the degree of salt migration in the soil. The larger the salt migration ratio, the higher the degree of salt migration in the soil. The smaller the salt migration ratio, the lower the degree of salt migration in the soil. In addition, the water-salt permeability coefficient describes the salt removal efficiency caused by leaching during the migration of water and salt in the soil column device. The larger the water-salt permeability coefficient, the higher the salt removal efficiency caused by leaching during the migration of water and salt in the soil column device. The smaller the water-salt permeability coefficient, the lower the salt removal efficiency caused by leaching during the migration of water and salt in the soil column device.

[0083] In step 104, the saturated hydraulic conductivity of the soil when the soil column device performs drip irrigation simulation is adjusted according to the degree of fit between the simulated moisture information and the soil moisture information.

[0084] In some embodiments, adjusting the saturated hydraulic conductivity of the soil when the soil column device performs drip irrigation simulation based on the fit between the simulated moisture information and the soil moisture information can be achieved by the following steps:

[0085] Setting a fitting threshold for the drip irrigation simulation;

[0086] Obtain the saturated hydraulic conductivity of the soil when the soil column device is performing drip irrigation simulation;

[0087] determining a transitional saturated hydraulic conductivity based on a fit between the simulated moisture information and the soil moisture information and the saturated hydraulic conductivity;

[0088] determining an optimized fit of the drip irrigation simulation by using the transition saturated hydraulic conductivity;

[0089] When the optimized fitting degree is greater than or equal to the fitting degree threshold, the transitional saturated hydraulic conductivity is used as an adjustment result of the saturated hydraulic conductivity of the soil when the soil column device performs drip irrigation simulation.

[0090] It should be noted that the fitting threshold during the drip irrigation simulation can be set based on the simulation accuracy requirements. In some preferred embodiments, in high-precision simulation requirements (for example, laboratories), the fitting threshold is set to [0.95, 1); in application scenarios with normal accuracy requirements (for example, engineering applications and agricultural management), the fitting threshold is set to [0.85, 0.95). In other embodiments, other methods can be used for setting, which will not be repeated here.

[0091] It should be noted that when the degree of fit is greater than or equal to the degree of fit threshold, the degree of fit is directly used as the optimized degree of fit. In specific implementation, determining the transitional saturated hydraulic conductivity based on the degree of fit between the simulated moisture information and the soil moisture information and the saturated hydraulic conductivity can be achieved in the following manner: when the degree of fit between the simulated moisture information and the soil moisture information is less than the degree of fit threshold, multiplying the saturated hydraulic conductivity by 1.1 is used as the transitional saturated hydraulic conductivity in this application. In other embodiments, it can also be determined by other methods, which are not limited here.

[0092] In a specific implementation, determining the optimized fit of the drip irrigation simulation using the transitional saturated hydraulic conductivity can be achieved in the following manner: after reusing the transitional saturated hydraulic conductivity as the saturated hydraulic conductivity in the simulation parameters, keeping other simulation parameters unchanged, using all simulation parameters as input, and using the HYDRUS-1D model in the prior art to describe the soil moisture characteristic curve in the soil column device; finally, using the uniform moisture content in the soil column device as the initial condition and the input water flow of the drip irrigation device as the boundary condition, combining the Richards equation and numerical solution technology to generate simulated moisture contents at different depths in the soil column device, repeating the above process of determining the fit between the simulated moisture information and the soil moisture information, and then using the obtained fit as the optimized fit in this application; in addition, in some preferred embodiments, when the optimized fit is less than the fit threshold, the optimized fit is re-used as the new fit, and the above process of determining the optimized fit is repeated until the optimized fit is greater than or equal to the fit threshold.

[0093] It should be noted that, in the present application, the transitional saturated hydraulic conductivity is used as a temporary value obtained by adjusting the saturated hydraulic conductivity when the degree of fit is less than the degree of fit threshold, and thus the transitional saturated hydraulic conductivity is judged by the optimized degree of fit. That is, when the optimized degree of fit corresponding to the adjustment result of the saturated hydraulic conductivity is greater than or equal to the degree of fit threshold, the transitional saturated hydraulic conductivity is used as the final saturated hydraulic conductivity value, thereby finding the most appropriate saturated hydraulic conductivity value, thereby improving the reliability of the model.

[0094] In step 105, the sensitivity of the saturated hydraulic conductivity of the soil to water and salt leaching is determined based on the adjustment result and the water-salt permeability coefficient.

[0095] In some embodiments, determining the sensitivity of the soil's saturated hydraulic conductivity to water-salt leaching based on the adjustment result and the water-salt permeability coefficient can be achieved by using the following steps:

[0096] Obtain the adjustment results of the saturated hydraulic conductivity of the soil when the soil column device performs drip irrigation simulation;

[0097] determining a hydraulic conductivity offset according to the adjustment result;

[0098] determining a disturbance amount of the water-salt permeability coefficient;

[0099] The sensitivity of the saturated hydraulic conductivity of the soil to water-salt leaching is determined based on the hydraulic conductivity offset and the disturbance of the water-salt permeability coefficient.

[0100] In a specific implementation, determining the hydraulic conductivity offset based on the saturated hydraulic conductivity adjustment result of the soil in the drip irrigation simulation is achieved in the following manner: after determining the saturated hydraulic conductivity adjustment result of the soil in the drip irrigation simulation minus the saturated hydraulic conductivity result, the resulting result is used as the hydraulic conductivity offset. As a preferred embodiment, determining the perturbation of the water-salt permeability coefficient can be achieved in the following manner: first, using the saturated hydraulic conductivity adjustment result of the soil in the drip irrigation simulation as a simulation parameter, keeping other simulation parameters unchanged, and using all simulation parameters as input, the HYDRUS-1D model in the prior art is used to describe the soil moisture characteristic curve in the soil column device. Finally, using the uniform moisture content in the soil column device as an initial condition and the input water flow rate of the drip irrigation device as a boundary condition, the Richards equation and numerical solution technology are combined to generate simulated moisture information at different depths in the soil column device. After using the simulated moisture information as the soil moisture information, the above process of determining the water-salt permeability coefficient from the soil moisture information is repeated, and the absolute value of the difference between the obtained result and the water-salt permeability coefficient is used as the perturbation of the water-salt permeability coefficient.

[0101] It should be noted that the hydraulic conductivity offset described in this application represents the adjustment range of the saturated hydraulic conductivity. The larger the hydraulic conductivity offset, the larger the adjustment range of the saturated hydraulic conductivity. The smaller the hydraulic conductivity offset, the smaller the adjustment range of the saturated hydraulic conductivity. In addition, the disturbance amount of the water-salt permeability coefficient represents the degree of influence of the adjustment of the saturated hydraulic conductivity on the water-salt permeability coefficient. The larger the disturbance amount of the water-salt permeability coefficient, the higher the degree of influence of the adjustment of the saturated hydraulic conductivity on the water-salt permeability coefficient. The smaller the disturbance amount of the water-salt permeability coefficient, the lower the degree of influence of the adjustment of the saturated hydraulic conductivity on the water-salt permeability coefficient.

[0102] It should be noted that the sensitivity of the saturated hydraulic conductivity in the simulation of the water-salt leaching process measures the degree of change of the water-salt permeability coefficient predicted by the model when the saturated hydraulic conductivity changes. The greater the sensitivity, the higher the degree of change of the water-salt permeability coefficient predicted by the model when the saturated hydraulic conductivity changes. The smaller the sensitivity, the lower the degree of change of the water-salt permeability coefficient predicted by the model when the saturated hydraulic conductivity changes. As a preferred embodiment, determining the sensitivity of the saturated hydraulic conductivity of the soil to water-salt leaching based on the hydraulic conductivity offset and the disturbance of the water-salt permeability coefficient can be achieved in the following manner, namely: first, determining the result of comparing the disturbance of the water-salt permeability coefficient with the hydraulic conductivity offset, then determining the result of comparing the saturated hydraulic conductivity adjustment result with the water-salt permeability coefficient, and finally, taking the product of the above two results as the sensitivity of the saturated hydraulic conductivity of the soil to water-salt leaching.

[0103] It should be noted that the saturated hydraulic conductivity is a simulation parameter that directly controls the infiltration rate of water and salt in the soil. It determines the speed of water infiltration and directly affects the migration depth and speed of the wetting front. The essence of water-salt leaching is the migration of salt carried by water. Therefore, the speed of water migration directly determines the migration range of salt. For example, in soils with high saturated hydraulic conductivity (such as sand), water carries salt to infiltrate rapidly, and salt is more easily leached to deep layers. In soils with low saturated hydraulic conductivity (such as clay), water moves slowly, and salt may accumulate in the surface or shallow layer and is difficult to be effectively leached. Therefore, after determining the sensitivity of the saturated hydraulic conductivity in the simulation of water-salt leaching process, the application can adjust the simulation method based on the sensitivity, so as to obtain the desired effect. To more accurately describe the characteristics of the actual soil, for example, when the sensitivity is high, the heterogeneity of the soil needs to be considered. Preferably, the spatial random distribution of the sensitivity can be generated by adopting the Kriging interpolation or geostatistical method in the prior art, instead of the uniform assumption, to obtain the spatial heterogeneity of the actual soil, thereby improving the accuracy of the water-salt leaching process. In other embodiments, the high sensitivity of the saturated hydraulic conductivity also characterizes the presence of significant nonlinear effects in the water-salt leaching simulation process, that is, the relationship between the moisture content and the salt concentration in the soil is a complex functional relationship. Preferably, the water-salt leaching process can be more accurately described by introducing a coupling model. In other embodiments, other methods can also be used to achieve this, which is not limited here.

[0104] In addition, in another aspect of the present application, in some embodiments, the present application provides a soil column device for simulating soil water and salt leaching under drip irrigation conditions, the device including a soil water and salt leaching simulation unit, Figure 4 This figure is a schematic structural diagram of a soil water-salt leaching simulation unit according to some embodiments of the present application. The soil water-salt leaching simulation unit 200 includes: a generation module 201, a processing module 202, and an execution module 203, which are described as follows:

[0105] Generation module 201, in this application, the generation module 201 mainly simulates the water-salt leaching process based on the distribution of different soil particles in the soil column device, and then generates simulated moisture information at different depths in the soil column device;

[0106] Processing module 202, in this application, is mainly used to set intelligent moisture sensors and intelligent salt concentration sensors in each soil layer of the soil column device, automatically collect soil moisture information at different depths in the soil column device during drip irrigation through the preset intelligent moisture sensors, and then determine the fit between the simulated moisture information and the soil moisture information;

[0107] In addition, the processing module 202 in the present application is also used to automatically collect the salt concentration in the soil column device during drip irrigation through the preset intelligent salt concentration sensor, and determine the water-salt permeability coefficient during the migration of water and salt in the soil column device based on the soil moisture information and the salt concentration;

[0108] In addition, the processing module 202 in the present application is further configured to adjust the saturated hydraulic conductivity of the soil when the soil column device performs drip irrigation simulation based on the degree of fit between the simulated moisture information and the soil moisture information;

[0109] The execution module 203 in this application is mainly used to determine the sensitivity of the saturated hydraulic conductivity of the soil during water-salt leaching based on the adjustment result and the water-salt permeability coefficient.

[0110] In addition, the present application also provides a computer device, which includes a memory and a processor, the memory storing a code, and the processor being configured to obtain the code and execute the above-mentioned soil water-salt leaching simulation method.

[0111] In some embodiments, reference Figure 5 , which is an internal structure diagram of a computer device for implementing a soil water and salt leaching simulation method according to some embodiments of the present application. The soil water and salt leaching simulation method in the above embodiment can be Figure 5 The computer device 300 shown in FIG. 1 is implemented as shown in FIG. 1 , and the computer device 300 includes at least one processor 301 , a communication bus 302 , a memory 303 , and at least one communication interface 304 .

[0112] The processor 301 may be a general-purpose central processing unit (CPU), or an application specific integrated circuit (ASIC) or one or more processors for controlling the execution of the soil water-salt leaching simulation method of the present application.

[0113] The communication bus 302 is used to transmit information between the above components.

[0114] Memory 303 may be, but is not limited to, a read-only memory (ROM) or other type of static storage device capable of storing static information and instructions, a random access memory (RAM) or other type of dynamic storage device capable of storing information and instructions, an electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD ROM) or other optical disk storage, an optical disc storage (including compact discs, laser discs, optical discs, digital versatile discs, Blu-ray discs, etc.), a magnetic disk or other magnetic storage device, or any other medium capable of carrying or storing desired program code in the form of instructions or data structures and accessible by a computer. Memory 303 may exist independently and be connected to processor 301 via communication bus 302. Memory 303 may also be integrated with processor 301.

[0115] Memory 303 is used to store program code for executing the solution of the present application, and is controlled by processor 301 for execution. Processor 301 is used to execute the program code stored in memory 303. The program code may include one or more software modules. The soil water-salt leaching simulation method in the above embodiment can be implemented by processor 301 and one or more software modules in the program code stored in memory 303.

[0116] The communication interface 304 uses any device such as a transceiver to communicate with other devices or communication networks, such as Ethernet, radio access network (RAN), wireless local area network (WLAN), etc.

[0117] In a specific implementation, as an example, a computer device may include multiple processors, each of which may be a single-core (single CPU) processor or a multi-core (multi-CPU) processor. A processor herein may refer to one or more devices, circuits, and / or processing cores for processing data (e.g., computer program instructions).

[0118] The aforementioned computer device may be a general-purpose computer device or a dedicated computer device. In a specific implementation, the computer device may be a desktop computer, a portable computer, a network server, a personal digital assistant (PDA), a mobile phone, a tablet computer, a wireless terminal device, a communication device, or an embedded device. The embodiments of this application do not limit the type of computer device.

[0119] In addition, the present application also provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, it implements the above-mentioned soil water-salt leaching simulation method.

[0120] In summary, in the soil column device and method for simulating soil water-salt leaching under drip irrigation conditions disclosed in the embodiments of the present application, drip irrigation simulation of the water-salt leaching process is performed by analyzing the distribution of different soil particles in the soil column device, thereby generating simulated moisture information at different depths in the soil column device; intelligent moisture sensors and intelligent salt concentration sensors are pre-set in each soil layer of the soil column device, and the preset intelligent moisture sensors are used to automatically collect soil moisture information at different depths in the soil column device during drip irrigation, thereby determining the degree of fit between the simulated moisture information and the soil moisture information; the pre-selected intelligent salt concentration sensor is used to automatically collect the salt concentration in the soil column device during drip irrigation, and the water-salt permeability coefficient during water and salt migration in the soil column device is determined based on the soil moisture information and the salt concentration; the saturated hydraulic conductivity of the soil in the soil column device during drip irrigation simulation is adjusted based on the degree of fit between the simulated moisture information and the soil moisture information; the sensitivity of the saturated hydraulic conductivity of the soil during water-salt leaching is determined based on the adjustment result and the water-salt permeability coefficient; the simulation process of the leaching effect can be adaptively adjusted under the premise of dynamic changes in the physical properties of the soil.

[0121] Although the preferred embodiments of the present application have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present application.

[0122] Obviously, those skilled in the art may make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if such changes and modifications fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such changes and modifications.

Claims

1. A soil water and salt leaching simulation method for simulating soil water and salt leaching in a soil column device under drip irrigation conditions, characterized in that: The steps include: Based on the distribution of different soil particles in the soil column device, the drip irrigation process of water and salt leaching is simulated, and then the simulated moisture information at different depths in the soil column device is generated; Pre-setting an intelligent moisture sensor and an intelligent salt concentration sensor in each soil layer of the soil column device, automatically collecting soil moisture information at different depths in the soil column device during drip irrigation through the preset intelligent moisture sensor, and then determining the fit between the simulated moisture information and the soil moisture information; The preset intelligent salt concentration sensor automatically collects the salt concentration in the soil column device during drip irrigation, and determines the water-salt permeability coefficient during the migration of water and salt in the soil column device based on the soil moisture information and the salt concentration; adjusting the saturated hydraulic conductivity of the soil when the soil column device performs drip irrigation simulation based on the fit between the simulated moisture information and the soil moisture information; Determining the sensitivity of the saturated hydraulic conductivity of the soil to water-salt leaching based on the adjustment result and the water-salt permeability coefficient; The step of adjusting the saturated hydraulic conductivity of the soil by the soil column device during drip irrigation simulation based on the degree of fit between the simulated moisture information and the soil moisture information specifically includes: Setting a fitting threshold for the drip irrigation simulation; Obtain the saturated hydraulic conductivity of the soil when the soil column device is performing drip irrigation simulation; determining a transitional saturated hydraulic conductivity based on a fit between the simulated moisture information and the soil moisture information and the saturated hydraulic conductivity; determining an optimized fit of the drip irrigation simulation by using the transition saturated hydraulic conductivity; When the optimized fitting degree is greater than or equal to the fitting degree threshold, the transition saturated hydraulic conductivity is used as an adjustment result of the saturated hydraulic conductivity of the soil when the soil column device performs drip irrigation simulation; The step of determining the sensitivity of the soil's saturated hydraulic conductivity to water-salt leaching based on the adjustment result and the water-salt permeability coefficient specifically includes: Obtain the adjustment results of the saturated hydraulic conductivity of the soil when the soil column device performs drip irrigation simulation; determining a hydraulic conductivity offset according to the adjustment result; determining a disturbance amount of the water-salt permeability coefficient; The sensitivity of the saturated hydraulic conductivity of the soil to water-salt leaching is determined based on the hydraulic conductivity offset and the disturbance of the water-salt permeability coefficient.

2. The method according to claim 1, wherein Determining the degree of fit between the simulated moisture information and the soil moisture information specifically includes: Determining the fitting deviation between the simulated moisture information and the soil moisture information at each sampling time at the selected depth; determining an average water content at a selected depth in a soil column device using the soil moisture information; The degree of fit between the simulated moisture information and the soil moisture information is determined by all fitting deviations and the average moisture content.

3. The method according to claim 1, wherein Determining the water-salt permeability coefficient during the migration of water and salt in the soil column device according to the soil moisture information and the salt concentration specifically includes: determining a permeability ratio during solute migration using the soil moisture information and the salt concentration; Obtain the degradation rate of salt in the soil column device; The water-salt permeability coefficient during the migration of water and salt in the soil column device is determined by the permeability ratio and the degradation rate.

4. The method according to claim 3, wherein Determining the permeability ratio during solute migration using the soil moisture information and the salt concentration specifically includes: Determine the moisture change between each soil moisture content and adjacent soil moisture contents corresponding to a selected depth in the soil column device using the soil moisture information; determining the amount of salt variation between each salt concentration and adjacent salt concentrations at a selected depth in the soil column apparatus; The osmotic ratio during solute migration is determined by the total water change and the total salt change.

5. The method according to claim 3, wherein Determining the water-salt permeability coefficient during the migration of water and salt in the soil column device by using the permeability ratio and the degradation rate specifically includes: Determining the salt migration ratio in the soil through the degradation rate; The water-salt permeability coefficient during the migration of water and salt in the soil column device is determined based on the salt migration ratio and the permeability ratio.

6. A soil column device for simulating soil water and salt leaching under drip irrigation conditions, which uses the method according to any one of claims 1 to 5 to simulate soil water and salt leaching, and the soil column device includes a soil water and salt leaching simulation unit, characterized in that: The soil water and salt leaching simulation unit includes: A generation module is used to simulate the water-salt leaching process through drip irrigation based on the distribution of different soil particles in the soil column device, thereby generating simulated moisture information at different depths in the soil column device; a processing module configured to automatically collect soil moisture information at different depths in the soil column device during drip irrigation by using the preset intelligent moisture sensors after setting intelligent moisture sensors and intelligent salt concentration sensors in each soil layer of the soil column device, and then determine a fit between the simulated moisture information and the soil moisture information; The processing module is further configured to automatically collect the salt concentration in the soil column device during drip irrigation through the preset intelligent salt concentration sensor, and determine the water-salt permeability coefficient during the migration of water and salt in the soil column device based on the soil moisture information and the salt concentration; The processing module is further configured to adjust the saturated hydraulic conductivity of the soil when the soil column device performs drip irrigation simulation based on the degree of fit between the simulated moisture information and the soil moisture information; An execution module is used to determine the sensitivity of the saturated hydraulic conductivity of the soil during water-salt leaching based on the adjustment result and the water-salt permeability coefficient.

7. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the soil water-salt leaching simulation method according to any one of claims 1 to 5 are implemented.

8. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the soil water-salt leaching simulation method according to any one of claims 1 to 5 are implemented.

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