Soil priority flow analysis method, device, equipment, medium and product

Abstract

The invention relates to the technical field of soil moisture movement, in particular to a soil priority flow analysis method, device and equipment, a medium and a product, and the method comprises the following steps: obtaining a dyeing profile image of a target soil area; wherein the target soil area is dyed with a fluorescent pigment solution; performing color correction and binarization processing on the dyed profile image to obtain an optimized image; identifying a gray value of each pixel in the optimized image; and based on the gray value, analyzing the soil priority flow condition of the target soil area. The target soil area is dyed through the fluorescent pigment solution, the movement speed of fluorescent pigment molecules and water molecules in the soil is equivalent, the phenomenon that water and a dyeing agent are separated is avoided, the method is harmless to the soil body, the color is bright, the tinting strength is high, the dosage is small, the performance is stable, and the price is low; typical spatial distribution characteristics of macropore flow development can be revealed.

Description

Technical Field

[0001] This disclosure relates to the field of soil moisture movement technology, and in particular to a method, apparatus, equipment, medium and product for soil preferential flow analysis. Background Technology

[0002] Preferential flow is a term used to describe non-equilibrium flow in soil, referring to the phenomenon where water or solutes rapidly migrate through the soil matrix along specific pathways (such as pores, fissures, wormholes, plant roots, etc.) to deeper soil layers or groundwater. This process differs from matrix flow in soil, does not follow Darcy's law, and symbolizes the transition in soil moisture movement research from the homogeneous to the heterogeneous domain.

[0003] To perform qualitative and quantitative analysis of preferential flow in soil, most related techniques use dyes to stain the soil, thereby revealing water movement within it. However, these dyes have several drawbacks: they only show color in shallow soil layers, lagging behind the seepage range of water molecules; or the chromogenic ions in the dyes are easily affected by microorganisms and oxidized to a color not significantly different from the soil, resulting in poor staining effects and thus failing to accurately represent water movement in the soil. Summary of the Invention

[0004] This disclosure is made in view of the above-mentioned problems and provides a method, apparatus, equipment, medium and product for soil preferential flow analysis.

[0005] According to one aspect of this disclosure, a method for soil preferential flow analysis is provided, comprising:

[0006] Obtain a stained profile image of the target soil region; wherein the target soil region is stained with a fluorescent dye solution;

[0007] The stained profile image is subjected to color correction and binarization to obtain an optimized image;

[0008] Identify the grayscale value of each pixel in the optimized image;

[0009] Based on the grayscale values, the preferential soil flow in the target soil area is analyzed.

[0010] By staining the target soil area with fluorescent dye solution, the fluorescent dye molecules and water molecules move at similar speeds in the soil, and there will be no separation of water and dye. It is harmless to the soil, bright in color, strong in coloring power, requires little dosage, has stable performance, and is inexpensive. Through such stained profile images, the typical spatial distribution characteristics of macropore flow development can be revealed.

[0011] Furthermore, the soil preferential flow analysis method according to one aspect of this disclosure further includes: the stained profile image includes a vertical profile image and a horizontal profile image;

[0012] The vertical profile image is obtained by irradiating the vertical profile of the target soil area with ultraviolet light, and the horizontal profile image is obtained by irradiating the horizontal profile of the target soil area with ultraviolet light.

[0013] Furthermore, according to one aspect of the soil priority flow analysis method of this disclosure, the target soil area includes an outer ring pit and an inner ring pit.

[0014] Furthermore, according to one aspect of the soil preferential flow analysis method of this disclosure, the method further includes: the concentration of the fluorescent dye solution is 1-10 g / L, and the fluorescent dye solution is used to simulate artificial rainfall in the inner ring pit;

[0015] The outer ring pit is filled with water at the same level as the inner ring pit.

[0016] Furthermore, the soil preferential flow analysis method according to one aspect of this disclosure also includes a horizontal scale and a vertical scale;

[0017] The vertical cross-sectional image is taken based on the horizontal scale, and the horizontal cross-sectional image is taken based on the vertical scale.

[0018] Furthermore, according to one aspect of the soil priority flow analysis method of this disclosure, the method further includes: identifying the grayscale value of each pixel in the optimized image, comprising:

[0019] The optimized image is adjusted to a length of 1000 pixels;

[0020] Identify the grayscale value of each pixel in the image; wherein, the grayscale value of pixels in the stained area of ​​the image is 0, and the grayscale value of pixels in the unstained area is the maximum grayscale value.

[0021] According to another aspect of this disclosure, a soil preferential flow analysis apparatus is provided, comprising:

[0022] An image acquisition module is used to acquire a stained profile image of a target soil region; wherein the target soil region is stained with a fluorescent dye solution.

[0023] The image optimization module is used to perform color correction and binarization processing on the stained profile image to obtain an optimized image;

[0024] The recognition module is used to recognize the grayscale value of each pixel in the optimized image;

[0025] The priority flow analysis module is used to analyze the priority flow of soil in the target soil area based on the grayscale values.

[0026] According to another aspect of this disclosure, a computer device is provided, including a memory, a processor, and a computer program stored in the memory, the processor executing the computer program to implement the method of one aspect above.

[0027] According to another aspect of this disclosure, a computer-readable storage medium is provided having a computer program stored thereon that, when executed by a processor, implements the method of one aspect above.

[0028] According to another aspect of this disclosure, a computer program product is provided, including a computer program that, when executed by a processor, implements the method of the above-described aspect.

[0029] It should be understood that both the foregoing general description and the following detailed description are exemplary and intended to provide further illustration of the claimed technology. Attached Figure Description

[0030] The above and other objects, features, and advantages of this disclosure will become more apparent from the more detailed description of the embodiments thereof in conjunction with the accompanying drawings. The drawings are provided to further illustrate the embodiments of this disclosure and form part of the specification. They are used together with the embodiments of this disclosure to explain the disclosure and do not constitute a limitation thereof. In the drawings, the same reference numerals generally represent the same components or steps.

[0031] Figure 1 This is a flowchart illustrating a soil preferential flow analysis method according to an embodiment of the present disclosure.

[0032] Figure 2 This is a flowchart illustrating an application example according to an embodiment of this disclosure.

[0033] Figure 3 The illustration is a cross-sectional excavation diagram of the test area according to an embodiment of this disclosure.

[0034] Figure 4 This is a schematic diagram of the structure of a soil preferential flow analysis device according to an embodiment of the present disclosure.

[0035] Figure 5 This is a schematic diagram illustrating the structure of a computer device according to an embodiment of the present disclosure.

[0036] Figure 6 This is a schematic diagram illustrating a computer program product according to an embodiment of the present disclosure. Detailed Implementation

[0037] To make the objectives, technical solutions, and advantages of this disclosure more apparent, exemplary embodiments according to this disclosure will now be described in detail with reference to the accompanying drawings. Obviously, the described embodiments are merely some embodiments of this disclosure, and not all embodiments of this disclosure. It should be understood that this disclosure is not limited to the exemplary embodiments described herein.

[0038] Preferential flow, also known as dominant flow, is a term used to describe non-equilibrium flow in soil. It refers to the phenomenon where water or solutes rapidly migrate through the soil matrix along specific pathways (such as pores, fissures, wormholes, plant roots, etc.) to deeper soil layers or groundwater levels. This process differs from matrix flow in soil and does not follow Darcy's law, symbolizing the transition in soil moisture movement research from homogeneous to heterogeneous domains.

[0039] Although preferential flow is a common form of soil moisture movement, it is difficult to detect under normal conditions. To conduct qualitative and quantitative analysis of preferential flow in soil, modern technologies are needed. Among these, staining tracer methods are a fundamental and commonly used method for studying preferential flow because they can visually demonstrate the movement of stained water molecules. Currently used staining agents include brilliant blue and ionic stains. Brilliant blue is a relatively large small-molecule organic compound; therefore, when used in soils with high clay content, brilliant blue molecules are adsorbed to some extent, resulting in color showing only in the shallow soil layer. This color range lags behind the seepage range of water molecules, which does not match the actual seepage movement. Another type of ionic staining agent generally produces a colorless solution after dissolving in water, requiring the addition of another reagent and a colorimetric reaction to develop color. For example, iodine-starch tracers, because the anions that mainly play a role in the colorimetric reaction are affected by microbial activity, are easily oxidized to a color not much different from the soil, resulting in poor staining effects. Both of these staining agents have a certain lag and inadequacy relative to the movement of water molecules in general soil, making it difficult to effectively characterize preferential flow at wetting fronts.

[0040] The above description, with reference to the accompanying drawings, describes a method, apparatus, device, medium, and product for analyzing soil preferential flow according to embodiments of the present disclosure. The method involves staining a target soil area with a fluorescent dye solution. The fluorescent dye molecules move at similar speeds to water molecules in the soil, preventing separation of water and dye. The method is harmless to the soil, produces vibrant colors, has strong coloring power, requires minimal dosage, exhibits stable performance, and is inexpensive. Such stained profile images can reveal the typical spatial distribution characteristics of macropore flow development.

[0041] To facilitate understanding of this embodiment, a detailed description of the soil priority flow analysis method disclosed in this disclosure is provided first. The execution entity of the soil priority flow analysis method provided in this disclosure is generally a computer device with certain computing capabilities. This computer device may include, for example, a terminal device, a server, or other processing devices. The terminal device may be a user equipment (UE), mobile device, user terminal, terminal, cellular phone, cordless phone, personal digital assistant (PDA), handheld device, computing device, vehicle-mounted device, wearable device, etc. In some possible implementations, the soil priority flow analysis method can be implemented by a processor calling computer-readable instructions stored in memory.

[0042] like Figure 1 The diagram shows a flowchart of a soil preferential flow analysis method provided in this embodiment of the present disclosure, the method comprising S101-S104:

[0043] S101: Obtain a stained profile image of the target soil area;

[0044] The target soil area was stained with a fluorescent dye solution. Specifically, the fluorescent dye could be fluorescent yellow-green (Fluorescein Isothiocyanate, FITC), with the molecular formula C0. 20 H 12 O5.

[0045] S102: Perform color correction and binarization on the stained profile image to obtain an optimized image;

[0046] S103: Identify and optimize the grayscale value of each pixel in the image;

[0047] S104: Based on grayscale values, analyze the soil preferential flow in the target soil area.

[0048] Because FITC is highly soluble in water and stable in soil, it does not have an adverse effect on the soil ecosystem. FITC's molecular weight can achieve the same permeation pathway as water molecules, and the amount adsorbed by the soil is small. Therefore, it can effectively reveal the typical spatial distribution characteristics of macropore flow development. Thus, the use of fluorescent yellow-green can effectively solve the limitations of other types of dyes in use.

[0049] In one or more embodiments, the stained profile image includes a vertical profile image and a horizontal profile image; wherein the vertical profile image is obtained by irradiating the vertical profile of the target soil area with ultraviolet light, and the horizontal profile image is obtained by irradiating the horizontal profile of the target soil area with ultraviolet light.

[0050] When a fluorescent dye is exposed to ultraviolet light, specific chemical groups in its molecule (such as the isothiocyanate group in FITC) absorb the ultraviolet light, thus reaching a higher energy excited state. In the excited state, the electrons of the molecule are unstable, and the molecule quickly returns to the lower energy ground state. During this process, the molecule releases additional energy in the form of light, which is typically the wavelength of visible light, thus allowing fluorescence emission to be observed. For example, FITC typically emits light in the green range, and the intensity of the fluorescence depends on the intensity of the absorbed light and the fluorescence quantum yield of the molecule. The fluorescence quantum yield is a parameter describing the efficiency of the transition between the excited and ground states; different compounds have different fluorescence quantum yields.

[0051] In one or more embodiments, the target soil area includes an outer ring pit and an inner ring pit.

[0052] The double ring structure, consisting of an outer ring pit and an inner ring pit, prevents the fluorescent dye solution from seeping out of the ring.

[0053] In one or more embodiments, the concentration of the fluorescent dye solution is 1 to 10 g / L, and the fluorescent dye solution is used to simulate artificial rainfall in the inner ring pit; the outer ring pit is filled with water at the same level as the liquid level in the inner ring pit.

[0054] In one or more embodiments, a horizontal scale and a vertical scale are also included;

[0055] Vertical cross-sectional images are taken using a horizontal scale, and horizontal cross-sectional images are taken using a vertical scale.

[0056] In one or more embodiments, S103 identifies the grayscale value of each pixel in the optimized image, including:

[0057] Adjust the optimized image to a length of 1000 pixels; identify the grayscale value of each pixel in the image;

[0058] In this image, the grayscale value of pixels in the stained area is 0, and the grayscale value of pixels in the unstained area is the maximum grayscale value, which is 255.

[0059] Based on the above embodiments, this embodiment also provides an application example, such as... Figure 2 The flowchart shown is for this application example, including S201-S206:

[0060] S201: In the test area, after removing weeds from the soil surface and covering it with 30cm of soil, the double-ring infiltration method is used to excavate an outer ring pit and an inner ring pit.

[0061] The outer ring pit is a 2.2m × 1.1m test pit, and the inner ring pit is a 1m × 1m test pit. The earthen embankment between the outer and inner ring pits is 10cm wide and 10cm high. Figure 3 The diagram shown is a cross-sectional excavation diagram of the test area. The shaded area is actually green, which is the fluorescent color emitted by the FITC solution.

[0062] S202: Prepare FITC solutions with a concentration gradient of 1-10 g / L. Simulate artificial rainfall with a FITC solution gradient of 20-50 mm in the inner ring pit. Add tap water with the same liquid level as the inner ring pit to the outer ring pit to form a double ring and prevent FITC solution from seeping outwards from the ring.

[0063] S203: After the FITC solution has completely penetrated the test area, cover the test area with plastic sheeting. After 18-36 hours, excavate the vertical and horizontal profiles and irradiate the profiles with ultraviolet lamps.

[0064] S204: Use two measuring tapes as horizontal and vertical scales respectively, and use a high-definition camera to take colored profile images of each vertical and horizontal section. Finally, fill in the outer and inner ring pits of the test area.

[0065] S205: Perform geometric correction on the stained section image based on the horizontal and vertical scales, crop it to the actual stained section size, and then optimize and binarize the image.

[0066] The actual stained section is typically 1m long and 40-60cm deep. Image optimization includes color correction, adjustment of parameters such as brightness, contrast, and saturation to enhance the color contrast between the stained and unstained areas.

[0067] S206: Export the binarized image as a file with a length of 1000 pixels and identify the grayscale value of each pixel.

[0068] The arrangement of these grayscale values ​​is the same as the coloring of the cross-section, with the grayscale value of the colored area being 0 and the grayscale value of the uncolored area being 255, thus completing the extraction of the colored image information. The grayscale value of each pixel can be identified using the Bitmap Analysis function of Image-ProPlus software.

[0069] The application principle of this embodiment is as follows: the luminescence principle of FITC is related to the electronic structure and energy levels of the molecule. Typically, fluorescence generation involves electronic transitions between excited and ground states. 20 H 12When O5 is irradiated with excitation light (usually ultraviolet light), electrons in its molecule transition from the ground state to a higher excited state. In the excited state, the electron resides in a high-energy orbital. This excited state is relatively unstable. Within a short time, the electron in the excited state may return to a lower excited state through an internal transition, that is, the electron returns from a high-energy orbital to a lower-energy orbital. This step is usually not accompanied by photon radiation and therefore does not result in luminescence. However, in some cases, the electron may return from the excited state to the ground state accompanied by photon radiation, resulting in visible light fluorescence emission. This is because the energy difference when the electron transitions to the ground state corresponds to the wavelength of visible light, causing photons to be emitted. Fluorescent dye C 20 H 12 The molecular structure and chemical composition of O5 determine its light absorption and emission properties. This fluorescence phenomenon has led to the widespread application of fluorescent dyes in labeling and tracking applications, contributing to a deeper understanding of the mechanisms of soil moisture movement and the development of preferential flow.

[0070] Experiments have shown that fluorescent pigment molecules and water molecules move at similar speeds, and fluorescent pigments can better characterize the migration of water molecules in soil.

[0071] Specifically, regarding the concentration of the FITC solution in step 2, this embodiment conducted experiments with concentrations of 1 g / L, 3 g / L, 6 g / L, and 9 g / L. It was found that under the condition of an injection volume of 30 L, the difference in the brightness of the fluorescent dye under ultraviolet light irradiation was not significant, and all concentrations could trace the movement of water molecules in the soil. Since 1 g / L is the minimum concentration at which the fluorescent dye has a normal luminescent effect, and considering cost and resource conservation, 1 g / L can be considered the optimal concentration choice.

[0072] According to another aspect of the embodiments of this disclosure, a soil preferential flow analysis device is provided, such as... Figure 4 As shown, the device includes:

[0073] Image acquisition module 401 is used to acquire a stained profile image of a target soil region; wherein the target soil region is stained with a fluorescent dye solution;

[0074] Image optimization module 402 is used to perform color correction and binarization processing on the stained profile image to obtain an optimized image;

[0075] The recognition module 403 is used to recognize the grayscale value of each pixel in the optimized image;

[0076] The priority flow analysis module 404 is used to analyze the priority flow of soil in the target soil area based on the gray value.

[0077] The soil preferential flow analysis device is also used for: the stained profile image includes a vertical profile image and a horizontal profile image; the vertical profile image is obtained by irradiating the vertical profile of the target soil area with ultraviolet light, and the horizontal profile image is obtained by irradiating the horizontal profile of the target soil area with ultraviolet light.

[0078] The soil priority flow analysis device is also used for: the target soil area includes an outer ring pit and an inner ring pit.

[0079] The soil preferential flow analysis device is also used for: using a fluorescent dye solution with a concentration of 1-10 g / L to simulate artificial rainfall in the inner ring pit; and adding water to the outer ring pit at the same level as the liquid level in the inner ring pit.

[0080] The soil preferential flow analysis device is also used for: including a horizontal scale and a vertical scale; taking the vertical profile image based on the horizontal scale, and taking the horizontal profile image based on the vertical scale.

[0081] In one or more embodiments, the identification module 403 is used for:

[0082] The optimized image is adjusted to a length of 1000 pixels;

[0083] Identify the grayscale value of each pixel in the image; wherein, the grayscale value of pixels in the stained area of ​​the image is 0, and the grayscale value of pixels in the unstained area is the maximum grayscale value.

[0084] The soil priority flow analysis device and the soil priority flow analysis method provided in this disclosure are based on the same inventive concept and have the same beneficial effects as the methods they employ, operate, or implement.

[0085] This disclosure also provides a computer device for performing the above-described soil preferential flow analysis method. Please refer to... Figure 5 It illustrates a schematic diagram of a computer device provided by some embodiments of this disclosure. For example... Figure 5 As shown, the computer device 5 includes: a processor 500, a memory 501, a bus 502, and a communication interface 503. The processor 500, the communication interface 503, and the memory 501 are connected via the bus 502. The memory 501 stores a computer program that can run on the processor 500. When the processor 500 runs the computer program, it executes the soil priority flow analysis method provided in any of the foregoing embodiments of this disclosure.

[0086] The memory 501 may include high-speed random access memory (RAM) or non-volatile memory, such as at least one disk storage device. Communication between this device network element and at least one other network element is achieved through at least one communication interface 503 (which can be wired or wireless), such as the Internet, wide area network, local area network, metropolitan area network, etc.

[0087] Bus 502 can be an ISA bus, PCI bus, or EISA bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. The memory 501 is used to store programs. After receiving an execution instruction, the processor 500 executes the program. The soil priority flow analysis method disclosed in any of the foregoing embodiments of this disclosure can be applied to the processor 500, or implemented by the processor 500.

[0088] The processor 500 may be an integrated circuit chip with signal processing capabilities. In implementation, each step of the above method can be completed by the integrated logic circuitry in the hardware of the processor 500 or by instructions in software form. The processor 500 may be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it may also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), an off-the-shelf programmable gate array (FPTA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. It can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of this disclosure. The general-purpose processor may be a microprocessor or any conventional processor. The steps of the methods disclosed in the embodiments of this disclosure can be directly embodied in the execution of a hardware decoding processor, or executed by a combination of hardware and software modules in the decoding processor. The software modules may reside in random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, registers, or other mature storage media in the art. The storage medium is located in memory 501. The processor 500 reads the information in memory 501 and, in conjunction with its hardware, completes the steps of the above method.

[0089] The computer device provided in this disclosure and the soil preferential flow analysis method provided in this disclosure are based on the same inventive concept and have the same beneficial effects as the methods they employ, operate, or implement.

[0090] This disclosure also provides a computer-readable storage medium corresponding to the soil priority flow analysis method provided in the foregoing embodiments. The computer-readable storage medium is an optical disc, on which a computer program (i.e., a computer program product) is stored. When the computer program is run by a processor, it executes the soil priority flow analysis method provided in any of the foregoing embodiments.

[0091] It should be noted that examples of the computer-readable storage medium may also include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other optical and magnetic storage media, which will not be elaborated here.

[0092] The computer-readable storage medium provided in the above embodiments of this disclosure and the soil preferential flow analysis method provided in the embodiments of this disclosure are based on the same inventive concept and have the same beneficial effects as the methods adopted, run or implemented by the applications stored therein.

[0093] This disclosure also provides a computer program product; please refer to [reference needed]. Figure 6 The computer program product 600 carries program code, namely computer program 601. The instructions included in the computer program 601 can be used to execute the steps of the soil preferential flow analysis method described in the above method embodiments. For details, please refer to the above method embodiments, which will not be repeated here.

[0094] The aforementioned computer program product can be implemented through hardware, software, or a combination thereof. In one optional embodiment, the computer program product is specifically embodied in a computer storage medium; in another optional embodiment, the computer program product is specifically embodied in a software product, such as a software development kit (SDK), etc.

[0095] The basic principles of this disclosure have been described above with reference to specific embodiments. However, it should be noted that the advantages, benefits, and effects mentioned in this disclosure are merely examples and not limitations, and should not be considered as essential features of each embodiment of this disclosure. Furthermore, the specific details disclosed above are for illustrative and facilitative purposes only, and are not limitations. These details do not limit the scope of this disclosure to the necessity of employing the aforementioned specific details for implementation.

[0096] The block diagrams of devices, apparatuses, devices, and systems disclosed herein are merely illustrative examples and are not intended to require or imply that they must be connected, arranged, or configured in the manner shown in the block diagrams. As those skilled in the art will recognize, these devices, apparatuses, devices, and systems can be connected, arranged, and configured in any manner. Words such as “comprising,” “including,” “having,” etc., are open-ended terms meaning “including but not limited to,” and are used interchangeably with them. The terms “or” and “and” as used herein refer to the terms “and / or,” and are used interchangeably with them unless the context clearly indicates otherwise. The term “such as” as used herein refers to the phrase “such as but not limited to,” and is used interchangeably with it.

[0097] Additionally, as used herein, the “or” used in a list of items beginning with “at least one” indicates a separate list, such that a list of, for example, “at least one of A, B, or C” means A or B or C, or AB or AC or BC, or ABC (i.e., A and B and C). Furthermore, the word “exemplary” does not imply that the described example is preferred or better than other examples.

[0098] It should also be noted that in the systems and methods of this disclosure, the components or steps can be decomposed and / or recombined. These decompositions and / or recombinations should be considered as equivalent solutions to this disclosure.

[0099] Various changes, substitutions, and modifications can be made to the technology described herein without departing from the teachings defined by the appended claims. Furthermore, the scope of the claims of this disclosure is not limited to the specific aspects of the processes, machines, manufactures, events, means, methods, and actions described above. Currently existing or later-developed processes, machines, manufactures, events, means, methods, or actions that perform substantially the same function or achieve substantially the same result as the corresponding aspects described herein can be utilized. Therefore, the appended claims include such processes, machines, manufactures, events, means, methods, or actions within their scope.

[0100] The above description of the disclosed aspects is provided to enable any person skilled in the art to make or use this disclosure. Various modifications to these aspects will be readily apparent to those skilled in the art, and the general principles defined herein may be applied to other aspects without departing from the scope of this disclosure. Therefore, this disclosure is not intended to be limited to the aspects shown herein, but rather to be carried out within the widest scope consistent with the principles and novel features disclosed herein.

[0101] The above description has been given for purposes of illustration and description. Furthermore, this description is not intended to limit the embodiments of this disclosure to the forms disclosed herein. Although numerous exemplary aspects and embodiments have been discussed above, those skilled in the art will recognize certain variations, modifications, alterations, additions, and sub-combinations therein.

Claims

1. A method of soil preferential flow analysis, characterized by, The method comprises: obtaining a dyeing profile image of a target soil area; wherein the target soil area is dyed with a fluorescent dye solution; performing color correction and binarization processing on the dyeing profile image to obtain an optimized image; identifying the gray value of each pixel in the optimized image; analyzing the soil preferential flow condition of the target soil area based on the gray value.

2. The method of soil preferential flow analysis of claim 1, wherein, The dyeing profile image comprises a vertical profile image and a horizontal profile image; The vertical profile image is obtained by irradiating the vertical profile of the target soil area with ultraviolet light, and the horizontal profile image is obtained by irradiating the horizontal profile of the target soil area with ultraviolet light.

3. The method of soil preferential flow analysis of claim 1, wherein, The target soil area comprises an outer ring pit and an inner ring pit.

4. The method of soil preferential flow analysis of claim 3, wherein, The concentration of the fluorescent dye solution is 1-10 g / L, and the inner ring pit is used to simulate artificial rainfall with the fluorescent dye solution; The outer ring pit contains water with the same liquid level as the inner ring pit.

5. The method of soil preferential flow analysis of claim 2, wherein, It also includes a horizontal scale and a vertical scale; The vertical profile image is taken based on the horizontal scale, and the horizontal profile image is taken based on the vertical scale.

6. The method of soil preferential flow analysis of claim 1, wherein, The identification of the gray value of each pixel in the optimized image comprises: adjusting the optimized image to an image with a length of 1000 pixels; identifying the gray value of each pixel in the image; wherein the gray value of the dyed area pixel in the image is 0, and the gray value of the non-dyed area pixel is the maximum gray value.

7. A soil preferential flow analysis apparatus, characterized by, The method comprises: An image acquisition module is configured to obtain a dyeing profile image of a target soil area; wherein the target soil area is dyed with a fluorescent dye solution; An image optimization module is configured to perform color correction and binarization processing on the dyeing profile image to obtain an optimized image; An identification module is configured to identify the gray value of each pixel in the optimized image; A preferential flow analysis module is configured to analyze the soil preferential flow condition of the target soil area based on the gray value.

8. A computer-embedded device comprising a memory, a processor and a computer program stored on the memory, characterized in that, The processor executes the computer program to implement the method of any one of claims 1-6.

9. A computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program is executed by the processor to implement the method of any one of claims 1-6.

10. A computer program product comprising a computer program, characterized in that, The computer program is executed by the processor to implement the method of any one of claims 1-6.

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