An ecological safety-based sand land water resource carrying capacity evaluation method

Abstract

This invention relates to the field of ecological assessment technology, and more particularly to a method for evaluating the water resource carrying capacity of sandy land based on ecological security. The method includes the following steps: deploying ecological monitoring units, including water response and surface ecological response, in a target sandy land area to acquire baseline ecological rhythm data of the sandy land under natural conditions; introducing water resource response triggers into the sandy land area under controlled conditions and continuously monitoring the rhythmic changes in the ecological response after disturbance; comparing and analyzing the baseline rhythm and the disturbance rhythm, extracting the offset and recovery characteristics of the ecological response, determining the resilience level of the sandy land to water resource disturbances, and outputting the water resource carrying capacity evaluation results of the target sandy land area under ecological security constraints. This invention, through comparative analysis of the sandy land ecological baseline rhythm and the ecological response rhythm under controlled water resource response triggers, combined with fine control of the disturbance range and grading of resilience, achieves a scientific and reliable evaluation of the water resource carrying capacity of sandy land under ecological security constraints.

Description

Technical Field

[0001] This invention relates to the field of ecological assessment technology, and in particular to a method for evaluating the water resource carrying capacity of sandy land based on ecological security. Background Technology

[0002] Sandy areas are characterized by fragile ecosystems, uneven spatial and temporal distribution of water resources, and a complex relationship between water replenishment and ecological stability, making them one of the regions with the most prominent conflicts between water resource development and ecological protection. Existing methods for assessing the water carrying capacity of sandy areas mostly rely on static indicators such as groundwater depth, water balance, or vegetation cover. These methods are typically based on historical statistical data or single monitoring results, making it difficult to reflect the dynamic response of sandy ecosystems to changes in water resources, and especially difficult to characterize the ecosystem's resilience and safety boundaries after water resource disturbances.

[0003] Furthermore, while some methods incorporate ecological factors, they largely remain at the level of macro-level correlation analysis, lacking comparative studies on the rhythms of ecological responses under natural and disturbed conditions. This makes it difficult to distinguish between short-term fluctuations in ecosystems and changes in their true carrying capacity. Simultaneously, existing assessment processes fail to adequately control the scope of disturbances and the diffusion of impacts from water resource experiments, making them susceptible to external interference. This results in poor stability and repeatability of assessment results, hindering the provision of reliable evidence for controlling the intensity of water resource development and managing ecological security in sandy areas. Summary of the Invention

[0004] Therefore, it is necessary to provide a method for evaluating the water resource carrying capacity of sandy areas based on ecological security in order to solve at least one of the above-mentioned technical problems.

[0005] To achieve the above objectives, a method for evaluating the water resource carrying capacity of sandy land based on ecological security is proposed, the method comprising the following steps:

[0006] Step S1: Deploy ecological monitoring units within the target sandy area, wherein each ecological monitoring unit includes at least a water response monitoring component and a surface ecological response monitoring component;

[0007] Step S2: Run the ecological monitoring unit to obtain the ecological response change rhythm of the sandy area under natural conditions, and record the ecological response change rhythm as sandy ecological baseline rhythm data;

[0008] Step S3: Introduce controlled water resource response triggering operations to the target sandy area, and continuously collect water response and surface ecological response data to obtain ecological response change rhythm data;

[0009] Step S4: Confirm the water resource disturbance rebound capacity level of the target sandy area through sandy ecological baseline rhythm data and ecological response change rhythm data, and output the water resource carrying capacity result of the target sandy area according to the water resource disturbance rebound capacity level.

[0010] The present invention has the following beneficial effects:

[0011] I. This invention constructs a complete comparative analysis path of "baseline-disturbance-rebound" by acquiring baseline rhythm data of sandy land ecosystems under natural conditions and acquiring rhythm data of ecological response changes under controlled water resource response triggering conditions. Compared with traditional methods based solely on water balance or a single hydrological indicator, this invention can quantitatively characterize the true response characteristics of sandy land to water resource disturbances from the perspective of ecosystem rhythm stability and resilience. This effectively avoids evaluation distortion caused by excessive water extraction or short-term experiments, making the water resource carrying capacity results more consistent with the actual carrying capacity boundaries of sandy land ecosystems, and significantly improving the ecological safety and scientific validity of the evaluation results.

[0012] Second, this invention achieves precise control over the water resource response trigger range and lateral water diffusion by dividing disturbance implementation units into remote sensing images, physically calibrating boundaries, and continuously or intermittently deploying flow-limiting components. This ensures that the disturbance impact is confined to the target unit, thereby improving the repeatability and comparability of experimental conditions. Simultaneously, through rhythm feature extraction and rhythm shift and recovery feature analysis, a carrying capacity determination mechanism centered on "disturbance rebound capacity level" is formed. This allows the evaluation results to intuitively reflect the water resource utilization potential of sandy areas under ecological security constraints. It is applicable to sandy area water resource planning, ecological restoration, and water intensity classification management, possessing significant engineering application value and promotional significance. Attached Figure Description

[0013] Figure 1 A schematic diagram of the steps in a method for evaluating the water resource carrying capacity of sandy land based on ecological security;

[0014] Figure 2 for Figure 1 A detailed flowchart illustrating the implementation steps of step S4.

[0015] Figure 3 This is a schematic diagram of the disturbance implementation unit for the sandy land water resource carrying capacity evaluation method based on ecological security proposed in this application;

[0016] Figure 4 This is a water resource carrying capacity evaluation interface diagram for the sandy land water resource carrying capacity evaluation method based on ecological security proposed in this application.

[0017] The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0018] The technical method of the present invention will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without inventive effort are within the scope of protection of the present invention.

[0019] Furthermore, the accompanying drawings are merely illustrative of the invention and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and therefore repeated descriptions of them will be omitted. Some block diagrams shown in the drawings are functional entities and do not necessarily correspond to physically or logically independent entities. These functional entities can be implemented in software, in one or more hardware modules or integrated circuits, or in different network and / or processor methods and / or microcontroller methods.

[0020] It should be understood that although the terms "first," "second," etc., may be used herein to describe various units, these units should not be limited by these terms. These terms are used merely to distinguish one unit from another. For example, without departing from the scope of the exemplary embodiments, a first unit may be referred to as a second unit, and similarly, a second unit may be referred to as a first unit. The term "and / or" as used herein includes any and all combinations of one or more of the associated listed items.

[0021] To achieve the above objectives, please refer to Figures 1 to 4 A method for evaluating the water resource carrying capacity of sandy land based on ecological security, the method comprising the following steps:

[0022] Step S1: Deploy ecological monitoring units within the target sandy area, wherein each ecological monitoring unit includes at least a water response monitoring component and a surface ecological response monitoring component;

[0023] In one embodiment, the target sandy area is first divided into several ecological monitoring sub-regions based on its spatial extent, topographic relief characteristics, and ecological type distribution. These sub-regions can be categorized as dune areas, inter-dune lowlands, vegetated areas, or bare sand areas to ensure that the monitoring data reflects the actual conditions of different ecological units within the target sandy area.

[0024] After the ecological monitoring sub-regions are divided, at least one ecological monitoring unit is deployed in each sub-region. The ecological monitoring unit is a fixed or semi-fixed installation structure, and is stably set in the sandy land by means of brackets or burial to avoid the impact of wind and sand movement on the monitoring accuracy.

[0025] In some embodiments, each ecological monitoring unit includes at least a moisture response monitoring component and a surface ecological response monitoring component. The moisture response monitoring component is used to acquire moisture change information within the sandy land and can be installed in sand layers at different depths to collect moisture status data from shallow and deep sand layers, thereby reflecting the impact of precipitation, evaporation, or groundwater recharge on sandy land moisture.

[0026] The surface ecological response monitoring component is used to collect ecological response information of the sandy surface layer. In some embodiments, the surface ecological response monitoring component can be used to monitor changes in surface temperature, surface moisture status, or vegetation cover to reflect the ecological response characteristics of the sandy surface layer to changes in moisture conditions.

[0027] When deploying ecological monitoring units, the deployment density is adjusted according to the spatial scale and monitoring accuracy requirements of the target sandy area. For example, the number of ecological monitoring units is appropriately increased in areas with drastic water changes or high ecological sensitivity, while the deployment density is reduced in areas with relatively stable ecological conditions, so as to reduce the overall deployment cost while ensuring monitoring effectiveness.

[0028] It should be noted that in some embodiments, the ecological monitoring units can also establish data transmission connections through wired or wireless means, so that the data collected by each ecological monitoring unit can be uniformly collected to the data processing platform, thereby providing continuous and reliable basic data support for subsequent analysis of sandy land water resource carrying capacity and ecological security assessment.

[0029] Step S2: Run the ecological monitoring unit to obtain the ecological response change rhythm of the sandy area under natural conditions, and record the ecological response change rhythm as sandy ecological baseline rhythm data;

[0030] In one embodiment, after the deployment of the ecological monitoring units in step S1 is completed, each ecological monitoring unit is uniformly started and operated to enable it to continuously monitor the target sandy area without introducing external intervention, so as to obtain information on the ecological response changes of the sandy area under natural conditions.

[0031] The so-called natural state refers to the condition where the sandy area maintains its original climate, hydrology, and ecological environment characteristics without artificial water replenishment, engineering disturbance, or human control measures. Operating the ecological monitoring unit under this state is beneficial for accurately reflecting the background response characteristics of the sandy ecosystem to factors such as natural precipitation, evaporation, and diurnal variations.

[0032] In some embodiments, operating the ecological monitoring unit includes driving the moisture response monitoring component and the surface ecological response monitoring component to work synchronously according to a preset sampling cycle. The moisture response monitoring component is used to continuously collect data on changes in water content at different depths in the sandy land, while the surface ecological response monitoring component is used to collect data on changes in surface temperature, surface moisture level, or surface ecological state.

[0033] During the monitoring process, the raw monitoring data collected by each ecological monitoring unit are recorded in chronological order, and the data from different ecological monitoring units are aligned based on a unified time benchmark to form a continuous data sequence that reflects the overall ecological response of the sandy area over time.

[0034] In some embodiments, periodic analysis is performed on continuously collected monitoring data to identify the changing patterns of ecological responses in sandy areas over time. For example, the monitoring data can be segmented and organized according to diurnal variations, day-night variations, or short-period fluctuations to extract rhythmic information reflecting changes in the water state and surface ecological state of the sandy area.

[0035] The ecological response change patterns obtained under natural conditions are used as a basic reference for sandy ecosystems and recorded as sandy ecological baseline rhythm data. This sandy ecological baseline rhythm data is used to characterize the normal ecological response level of the target sandy area under undisturbed conditions, providing a benchmark for subsequent sandy water resource disturbance analysis and carrying capacity assessment.

[0036] It should be noted that, in some embodiments, in order to improve the stability and representativeness of sandy ecological baseline rhythm data, the ecological monitoring unit can run continuously for multiple natural cycles and comprehensively organize the monitoring results of multiple cycles to reduce the impact of occasional environmental changes on the baseline rhythm data, thereby obtaining more reliable sandy ecological baseline rhythm data.

[0037] Step S3: Introduce controlled water resource response triggering operations to the target sandy area, and continuously collect water response and surface ecological response data to obtain ecological response change rhythm data;

[0038] In one embodiment, after completing step S2 and obtaining the ecological baseline rhythm data of the sandy land, a controlled water resource response triggering operation is introduced into the target sandy land area to simulate the ecological response process of the sandy land area under actual water resource replenishment or short-term hydrological change conditions.

[0039] The controlled water resource response triggering operation refers to the introduction of a small amount of water resources into a target sandy area in a controlled manner without disrupting the overall ecological structure of the sandy area. This ensures that the intensity and extent of water input are adjustable and quantifiable. This response triggering operation differs from large-scale irrigation or engineering water replenishment; its purpose is to stimulate the response characteristics of the sandy ecosystem, rather than altering its basic ecological pattern.

[0040] In some embodiments, the controlled water resource response triggering operation includes introducing a quantitative amount of water into the surface or shallow soil of sandy land in a point-like or strip-like manner within the coverage area of ​​the ecological monitoring unit. The location, duration, and intensity of water introduction can be preset according to the topographic conditions of the sandy area and the deployment of monitoring units to ensure the uniformity and repeatability of the response triggering effect.

[0041] While executing the controlled water resource response triggering operation, the ecological monitoring units deployed in step S1 continue to operate, ensuring that the water response monitoring component and the surface ecological response monitoring component maintain synchronous data acquisition. Specifically, the water response monitoring component is used to monitor in real time the changes in the water content of the sandy land under the triggering action, while the surface ecological response monitoring component is used to monitor the dynamic response of the surface ecological state to changes in water content.

[0042] In some embodiments, monitoring data are continuously collected and uniformly recorded before, during, and after the response triggering effect, and a complete disturbance monitoring data sequence is formed in chronological order. This continuous data sequence can clearly reflect the response initiation, enhancement, and gradual recovery process of the sandy area ecosystem under water resource response triggering input.

[0043] Based on the continuously collected monitoring data, a joint analysis of changes in water response and changes in surface ecological response was conducted to extract the rhythm of ecological response changes in sandy areas under water resource response triggering conditions. The rhythm of ecological response changes may include the response rate of water changes, the lag characteristics of surface ecological state, and the trend of stabilization after the disturbance ends.

[0044] The ecological response change patterns obtained under controlled water resource response triggering conditions will be recorded as ecological response change rhythm data. This ecological response change rhythm data will be used for comparative analysis with the sandy land ecological baseline rhythm data obtained in step S2, providing a data foundation for subsequent assessment of the sandy land area's water resource disturbance carrying capacity and ecological resilience.

[0045] Step S4: Confirm the water resource disturbance rebound capacity level of the target sandy area through sandy ecological baseline rhythm data and ecological response change rhythm data, and output the water resource carrying capacity result of the target sandy area according to the water resource disturbance rebound capacity level.

[0046] In one embodiment, the baseline rhythm data of the sandy land ecosystem recorded in step S2 and the rhythm data of the ecological response change after disturbance obtained in step S3 are first acquired to analyze the dynamic response characteristics of the target sandy land area to water resource disturbance.

[0047] Based on baseline rhythm data of sandy land ecosystems, a reference model was established for the water response and surface ecological state changes in the target sandy land area under natural conditions. The reference model includes the water content variation curve over time, the periodic variation pattern of surface vegetation cover or topsoil stability, and the natural fluctuation amplitude of key ecological indicators.

[0048] The rhythmic data of ecological response changes after disturbance were compared with the baseline rhythmic data of sandy land ecology to analyze the response amplitude, response rate, and recovery trend of sandy areas under controlled micro-disturbance of water resources. Specifically, this included:

[0049] Response amplitude analysis: Calculate the amplitude of changes in water content and surface ecological status caused by disturbance, and compare it with the amplitude of natural fluctuations in baseline data;

[0050] Response rate analysis: This involves statistically analyzing the time required for the sandy ecological response to reach its peak after the disturbance is applied, in order to reflect the ecosystem's sensitivity to water changes and its rate of adaptation.

[0051] Stabilization characteristics analysis: This analyzes the time required for the ecosystem to recover to its baseline state after the disturbance ends and assesses the stability of the recovery process.

[0052] Based on the above analysis results, the water resource disturbance rebound capacity of the target sandy area is divided into different levels. For example:

[0053] High resilience: The ecological response after disturbance is moderate, and the recovery time to the baseline state is short and stable;

[0054] Medium resilience: The ecological response after disturbance is relatively large, and it takes a long time to recover to the baseline state or there may be slight fluctuations;

[0055] Low resilience: The ecological response after disturbance is significant, and the recovery to the baseline state takes a long time and fluctuates significantly, posing a potential ecological risk.

[0056] Based on the water resource disturbance rebound capacity level, the water resource carrying capacity results for the target sandy area are output. The carrying capacity results may include: carrying capacity level identification: corresponding to high, medium and low three or more levels of water resource carrying capacity; quantitative indicators: such as the amount of short-term water resource fluctuation that can be tolerated per unit area (e.g., millimeters of moisture), the time required for ecological restoration (e.g., days), and the maximum ecological load that can be carried (e.g., the magnitude of vegetation cover change); graphical result display: reflecting the spatial distribution of water resource carrying capacity in different areas through a visual map or regional color markers.

[0057] In some embodiments, multiple sets of disturbance response data can be obtained by combining multiple controlled micro-perturbation experiments, and statistical analysis can be used to improve the reliability of the assessment results. Through the above process, an accurate assessment of the water resource disturbance rebound capacity of the target sandy area can be achieved, providing a basis for regional water resource management, ecological protection, and engineering decision-making.

[0058] In another embodiment, reference can be made to Figure 4 By constructing a water resource carrying capacity index dashboard, the water resource disturbance rebound capacity of the target sandy area can be expressed intuitively and quantitatively. Specifically, based on the ecological baseline rhythm data of the sandy area and the ecological response change rhythm data after disturbance, a comprehensive rebound capacity index is calculated, and this index is mapped to a standardized range of 0 to 100 to form a numerical index of water resource rebound capacity.

[0059] In this embodiment, the resilience index is presented in the form of a pointer-style dashboard, with the dashboard divided into low-carrying-capacity, medium-carrying-capacity, and high-carrying-capacity zones. The low-carrying-capacity zone corresponds to a weak resilience state, indicating that the sandy ecosystem is sensitive to water resource disturbances and has insufficient recovery capacity. The medium-carrying-capacity zone corresponds to a transitional resilience state, indicating that the sandy ecosystem can maintain basic stability under controlled disturbance conditions. The high-carrying-capacity zone corresponds to a strong resilience state, indicating that the sandy ecosystem possesses good self-recovery and water resource regulation capabilities.

[0060] When the comprehensive rebound capacity index falls within the corresponding range, the water resource disturbance rebound capacity level of the target sandy area can be determined, and the water resource carrying capacity result can be output simultaneously. The result not only includes the numerical rebound capacity index, but also combines range color markings and level descriptions to help judge the suitability for development and utilization and the ecological security level of the target sandy area, thereby providing an intuitive decision-making basis for water resource allocation and ecological management.

[0061] Preferably, the controlled water resource response triggering operation in step S3 for the target sandy area includes:

[0062] At least one disturbance implementation unit is selected within the target sandy area, wherein the disturbance implementation unit is obtained based on the regional remote sensing image of the target sandy area;

[0063] The boundary position of the disturbance implementation unit is physically calibrated, and flow-limiting components are set at the boundary position to restrict the lateral flow of water resources within the disturbance implementation unit;

[0064] Water resources are introduced into the disturbance implementation unit by means of continuous dripping or low-speed infiltration through a water resource injection device installed in the disturbance implementation unit, wherein the duration of a single injection operation is limited to a preset time threshold.

[0065] During the water resource introduction process, infiltration change signals are collected in real time;

[0066] When the permeation change signal is greater than or equal to the signal response change threshold, the operation of the water injection device shall be stopped.

[0067] After stopping the water injection, the water injection device is turned off and the disturbance implementation unit is kept in a static state, and no sand turning, leveling or water replenishment operations are performed during the static period.

[0068] In one embodiment, firstly, based on the ecological monitoring data and remote sensing image information of the target sandy area obtained in step S1, at least one disturbance implementation unit is selected on the sandy surface. The disturbance implementation unit can be a region block with homogeneous soil type, slope, and vegetation cover characteristics obtained based on remote sensing image analysis. For example, a small disturbance implementation unit is selected as the test unit on a sandy area of ​​approximately 5 square meters.

[0069] The boundary positions of the disturbance implementation unit are physically calibrated. In some embodiments, flow-limiting components, such as adjustable baffles, annular low dikes, or micro-ditches, are provided at the edges of the disturbance implementation unit to limit the lateral diffusion of water resources inside the disturbance implementation unit, ensuring that the injected water resources mainly act within the unit.

[0070] A water injection device is installed inside the disturbance unit. The injection device can be a micro-drip irrigation system, a low-flow-rate infiltration pipe, or a controllable micro-sprinkler device. By controlling the injection device to provide water to the disturbance unit in a continuous dripping or low-speed infiltration manner, the water is evenly distributed in the upper soil layer of the test unit.

[0071] During a single injection operation, a preset injection duration threshold (e.g., 5–15 minutes) is used to avoid excessive water injection leading to unexpected water overflow or soil erosion. During injection, infiltration change signals of the disturbance unit are collected in real time. These infiltration change signals can be obtained using soil moisture sensors, surface moisture response monitoring components, or underground miniature buried sensors.

[0072] The system monitors and compares infiltration change signals. When the signal reaches or exceeds a preset signal response change threshold (e.g., soil moisture content increases by 10% or vegetation surface response reaches a specific response index), the water injection operation is stopped. The threshold can be adjusted according to the soil permeability and ecological sensitivity of different sandy areas.

[0073] After water injection is stopped, the injection device is shut down and the disturbance implementation unit is kept in a quiescent state. During the quiescent period, no sand turning, leveling, water replenishment, or other external disturbance operations are performed to ensure that the ecological response data only reflects the natural recovery characteristics after controlled water resource disturbance. During this period, the ecological monitoring unit continuously collects water response and surface ecological response data to generate data on the rhythmic changes in the ecological response after disturbance.

[0074] It should be noted that, in order to ensure the repeatability of the disturbance experiment and the reliability of the data, the above water injection operation can be repeated on different disturbance implementation units, and the injection rate and injection volume can be adjusted to cover water disturbance situations of different intensities, so as to obtain a complete ecological response rhythm curve.

[0075] Preferably, the method for obtaining the disturbance implementation unit includes:

[0076] Acquire regional remote sensing images of the target sandy area;

[0077] The regional remote sensing image is cropped according to its spatial boundaries to obtain regional image data;

[0078] The regional image data is partitioned into multiple spatially contiguous image partition units, wherein the area of ​​each image partition unit is consistent or within the allowable deviation range.

[0079] In the image partitioning unit, at least one image partitioning unit is selected, and the geographical area corresponding to the image partitioning unit is determined as the disturbance implementation unit.

[0080] In one embodiment, regional remote sensing images of the target sandy area are first acquired. These images can be obtained through satellite remote sensing, drone aerial photography, or ground-based high-altitude camera equipment. The image resolution can be selected from 0.1 meters to 1 meter to ensure that surface features and the distribution of sandy vegetation can be clearly identified.

[0081] Based on the spatial boundaries of the acquired regional remote sensing imagery, the imagery is cropped. This cropping operation can be performed using Geographic Information System (GIS) software or a remote sensing image processing platform to obtain regional imagery data that matches the target sandy area. For example, cropping can yield multiple image data blocks covering the target sandy area, each containing complete geospatial coordinate information.

[0082] The cropped regional image data is then partitioned. The regional image data is divided into multiple spatially contiguous image partition units, with each partition unit having a consistent area or within an allowable deviation range (e.g., ±5%). In some embodiments, a raster partitioning method or a partitioning method based on equal-area grids can be used, and the area of ​​each image partition unit can be set from 1 square meter to 10 square meters to balance operational convenience and ecological monitoring accuracy.

[0083] Within each image unit, at least one image unit is selected as the perturbation implementation unit. The selected unit can be chosen based on the sandy surface soil type, vegetation cover, slope, or micro-topographic features to ensure the representativeness of the perturbation experiment. For example, units with homogeneous soil, uniform vegetation cover, and gentle slope can be selected from the divided image units as the perturbation implementation units.

[0084] The selected image partition unit corresponds to a geographic area that is then mapped to the actual sandy location. Physical calibration is performed on-site in the target sandy area using GPS coordinates or ground calibration tools. Physical calibration can be achieved by using poles, marker lines, or low fences to fix the boundaries of the disturbance implementation unit, facilitating subsequent water injection and ecological monitoring operations.

[0085] In another embodiment, reference can be made to Figure 3 The remote sensing image of the target sandy area simultaneously presents various landforms, including continuous sand dunes, exposed rock areas, and sparsely vegetated areas. Based on this remote sensing image, the image was first cropped along the natural boundaries of the sandy area (such as dune ridges and landform transition zones) to form regional image data consistent with the actual sandy area. Subsequently, instead of using regular rectangles or equidistant grids, the regional image data was divided into irregular polygonal partitions based on the undulations and color texture differences of the dunes. This resulted in multiple spatially continuous image partition units with boundaries varying with the landform, as shown in the polygonal partition structure in the figure.

[0086] In this embodiment, the area of ​​each image partition unit is controlled within a preset target area range, and adaptive fine-tuning is allowed based on changes in dune aspect and slope to ensure relatively consistent surface morphology within the unit. Furthermore, at least one partition unit located on the windward slope of a typical dune or in a low-lying area between dunes is selected from the image partition units as the perturbation implementation unit. This type of partition unit appears in the image as a region with continuous color and consistent texture, exhibiting strong representativeness.

[0087] Finally, the boundary coordinates of the selected irregular image partition unit are directly mapped to the field, and the layout is carried out along the polygon boundary using a handheld positioning device to form a disturbance implementation unit that is consistent with the shape of the image partition. This unit is then used to conduct subsequent water resource carrying capacity disturbance experiments under different dune landform conditions.

[0088] It should be noted that, in order to improve the representativeness and repeatability of the disturbance implementation units, multiple disturbance implementation units can be selected within the same target sandy area, and controlled water resource disturbance operations can be performed independently on different units to obtain diverse ecological response data, thereby supporting the assessment of sandy water resource carrying capacity.

[0089] Preferably, physically calibrating the boundary position of the disturbance implementation unit and setting a current-limiting component at the boundary position includes:

[0090] Based on the spatial range of the image partition unit corresponding to the disturbance implementation unit, the boundary position is determined segment by segment along the spatial range of the target sandy area, and boundary markers are set at the determined boundary positions;

[0091] Draw lines along the locations of the boundary markers to form a continuous boundary path that encloses the disturbance implementation unit, and verify the integrity of the boundary path;

[0092] Based on the integrity confirmation results, flow-limiting components are laid on the ground surface or buried below the ground surface along the continuous boundary path, so that the flow-limiting components are continuously or intermittently distributed along the boundary direction of the disturbance implementation unit, so as to form a lateral barrier of moisture in the circumference of the disturbance implementation unit.

[0093] The flow-limiting components are fixed in the sand by insertion, pressing, or anchoring, and the parts of the flow-limiting components in contact with the sand are compacted to restrict the lateral flow of water resources at the boundary of the disturbance implementation unit.

[0094] In one embodiment, based on the spatial range of the image partition unit corresponding to the disturbance implementation unit, the boundary positions are determined segment by segment along the spatial range in the target sandy area. The boundary positions can be obtained through GPS positioning or ground surveying tools (such as rangefinders or total stations), and markers, such as bamboo poles, wooden stakes, or flags, are set at each boundary point to clearly define the spatial boundaries of the disturbance implementation unit.

[0095] The markers are connected to form a continuous boundary path. In some embodiments, ropes, cables, or temporary fences can be used to connect the boundary markers sequentially to ensure that the formed boundary path completely encloses the disturbance implementation unit. The integrity of the formed boundary path is verified, including checking whether the distance between each marker is uniform, whether the path is closed, and whether the boundary direction is consistent with the spatial range of the image partition unit.

[0096] After confirming the integrity of the boundary path, flow-limiting components are deployed along the continuous boundary path. These components can be sand barriers, low earthen walls, plastic or metal strips, or soft fencing with low permeability. In some embodiments, the flow-limiting components can be laid on the sand surface or buried below the sand surface layer (e.g., at a depth of 5 to 15 centimeters) to create a barrier against lateral water infiltration. The flow-limiting components can be deployed continuously or intermittently, with the spacing controlled between 10 and 50 centimeters to ensure lateral water blockage around the disturbance unit.

[0097] The flow-limiting component is fixed in the sand to prevent water erosion or wind movement. In some embodiments, the flow-limiting component can be fixed by insertion, pressing, or anchoring, and the part of the flow-limiting component in contact with the sand is compacted, for example by using a hand-held pressure plate, mallet, or compaction roller to ensure that the sand and the flow-limiting component are in close contact to ensure that the water resources do not flow laterally at the boundary of the disturbance implementation unit.

[0098] It is important to note that, in order to ensure consistency among different disturbance implementation units, the boundary marking and flow-limiting component layout of each disturbance implementation unit should be carried out in accordance with unified specifications, including the height of markers, the accuracy of boundary path closure, and the material and spacing of flow-limiting components. This will enable water resource micro-disturbance experiments to be repeated across different units and obtain comparable ecological response data.

[0099] Preferably, the continuous boundary path forming the enclosure of the disturbance implementation unit by connecting lines along the locations of boundary markers includes:

[0100] Connect adjacent boundary markers one by one, so that a straight line segment is formed between every two adjacent markers;

[0101] Check the abnormal connection status of each straight line segment in turn along the direction of the formed connection;

[0102] The integrity of the continuous boundary path of the straight line segment is confirmed by the abnormal connection status of each straight line segment, so as to form a continuous boundary path for enclosing the disturbance implementation unit.

[0103] In one embodiment, adjacent boundary markers are connected one by one according to a preset order. The connection method can use ropes, thin lines, soft plastic strips, or marking tape to form a straight line segment between every two adjacent markers. The length and direction of the straight line segment should strictly follow the spatial range of the image partition unit to ensure that the boundary path accurately reflects the spatial outline of the disturbance implementation unit.

[0104] After forming the straight segments, a continuity check is performed along the direction of each straight segment. The check includes: confirming that the start and end points of the straight segments are precisely aligned with the positions of the boundary markers; checking for any bends, breaks, or offsets in the straight segments; and verifying the length of each straight segment against the angles of adjacent straight segments to ensure that the spatial layout of the straight segments is consistent with the overall boundary path.

[0105] For any abnormal connections discovered during the inspection, such as misaligned straight segments, gaps, or deviations from the image contour, corrections are made by readjusting the positions of markers or tightening the connecting ropes. After correction, the continuity and boundary alignment accuracy of the straight segments are reconfirmed.

[0106] After all straight segments pass the continuity check, they are sequentially combined to form a complete closed boundary path. This closed path is the continuous boundary path that encloses the disturbance implementation unit. Its continuity and closure ensure that in subsequent water resource micro-disturbance operations, the disturbance implementation unit can effectively constrain the distribution of water within the unit and prevent water resources from leaking laterally into the external area.

[0107] It is important to note that, in order to ensure the consistency of the boundary paths of different disturbance implementation units, the same type of markers, straight segment connection method and continuity check method can be used uniformly when forming the boundary paths, so as to ensure the repeatability and data comparability of each disturbance unit in the water resource injection and ecological response collection experiments.

[0108] Preferably, checking the abnormal connection status of each line segment sequentially along the direction of the formed connection includes:

[0109] Collect spatial location data between the straight line segment and adjacent landmarks;

[0110] The gap distance between the straight line segment and the adjacent marker is calculated and compared with the preset maximum gap threshold to identify the excess gap data;

[0111] The abnormal connection status of each straight line segment is determined by the excess gap data, where abnormal connection status includes line segment deviation and line segment breakage;

[0112] Automatically adjust the position of straight line segments in response to abnormal connection states.

[0113] In one embodiment, spatial position data between the straight segment and adjacent boundary markers is collected for each straight segment of the enclosing disturbance implementation unit. The spatial position data can be obtained through a GPS positioning device, a laser rangefinder, or a central station measurement device to record the three-dimensional coordinates of several sampling points at both ends and in the middle of the straight segment.

[0114] After acquiring spatial location data, the gap distance between the straight line segment and adjacent markers is calculated. The gap distance is defined as the actual distance between the endpoint of the straight line segment and the center of the corresponding boundary marker. The calculated gap distance is compared with a preset maximum gap threshold. If the gap distance is greater than the threshold, the distance is recorded as an excessive gap.

[0115] Based on the data on gaps exceeding limits, an abnormal connection status is determined for each straight line segment. Abnormal connection statuses include, but are not limited to: line segment deviation: the straight line segment is not aligned with the direction of the marker connection, and the deviation direction exceeds the allowable error range; line segment breakage: the straight line segment does not form a continuous connection with the marker, and there is an obvious break or gap.

[0116] For straight segments with detected abnormal connection states, the system can automatically trigger position adjustment operations. For example: using adjustable support rods or tensioning devices to re-fix the straight segments, ensuring that their endpoints are precisely aligned with boundary markers; fine-tuning the deviation of the middle position of the straight segments to ensure that the overall straight segments are aligned in the predetermined direction; confirming that the gap distance between the adjusted straight segments is less than the maximum gap threshold, and repeating the data collection and comparison until the abnormal connection state is eliminated.

[0117] It is important to note that the line segments can be checked and adjusted one by one in sequence to ensure that each segment meets the continuity requirement before forming the final closed boundary path. Through the above embodiments, the boundary path of the disturbance implementation unit can be effectively guaranteed to be closed, continuous, and accurate, providing a reliable foundation for subsequent water resource injection and ecological response monitoring.

[0118] Preferably, determining the abnormal connection status of each straight line segment based on the excessive gap data includes:

[0119] Confirm the offset distance between each straight segment and the adjacent marker based on the excess gap data;

[0120] When the deviation of a straight line segment from the center line of the boundary path is greater than 1.5cm, the straight line segment is judged to have an abnormal deviation.

[0121] When the gap between a straight line segment and an adjacent marker is greater than 2.5 cm or the length of a continuous gap exceeds 0.2 m, the straight line segment is considered to have a breakage anomaly.

[0122] In one embodiment, excess gap data is acquired for each straight line segment formed along the boundary path. The excess gap data includes the gap distance between the endpoint of the straight line segment and the adjacent boundary marker, as well as the offset distance between the straight line segment and the centerline of the predetermined boundary path.

[0123] For each straight line segment, first determine the actual offset distance between the straight line segment and the adjacent marker based on the excess gap data. The offset distance can be calculated using spatial coordinate difference or the actual distance measured by a laser rangefinder.

[0124] The following checks are performed to determine the deviation of straight segments: When the deviation of a straight segment from the center line of the boundary path exceeds 1.5 cm, the straight segment is marked as having an abnormal deviation. This abnormality indicates that the straight segment is not laid out along the predetermined boundary path direction and requires positional adjustment. When the gap between a straight segment and an adjacent marker exceeds 2.5 cm, or the length of a continuous gap within the straight segment exceeds 0.2 meters, the straight segment is marked as having a broken segment or not forming a continuous closure, requiring repair or replacement.

[0125] For identified abnormal straight segments, corrections can be made manually or automatically. For example, if a line segment deviates abnormally, its endpoints or intermediate fixed points can be moved to bring it back to the vicinity of the boundary path centerline; if a line segment is broken abnormally, additional straight segments can be added or the positions of adjacent straight segments can be adjusted to restore continuity and ensure the closure of the boundary path.

[0126] After correction, the spatial position data of the straight line segments are re-acquired, and the above offset and gap determination operations are repeated until all straight line segments meet the requirements of offset distance less than 1.5 cm and gap less than 2.5 cm, and continuous gap length less than 0.2 m, thereby confirming that the boundary path of the enclosing disturbance implementation unit is continuous and complete.

[0127] Preferably, based on the integrity confirmation results, laying the flow-limiting components on the ground surface or burying them below the ground along a continuous boundary path, so that the flow-limiting components are continuously or intermittently distributed along the boundary direction of the disturbance implementation unit, further includes:

[0128] The actual laying position of the flow-limiting component is continuously detected, and the detected laying position is compared with the continuous boundary path. When the flow-limiting component deviates from the continuous boundary path, the laying mechanism is controlled to adjust the position of the flow-limiting component.

[0129] During the laying or burial of flow-limiting components, obtain positional data of the flow-limiting components relative to the ground surface and confirm the contact status data between the flow-limiting components and the sandy land;

[0130] The distribution of the current-limiting components is analyzed based on the contact state data, and it is confirmed that the current-limiting components form a continuous or intermittent distribution structure in the boundary direction, generating a current-limiting component distribution confirmation result.

[0131] The integrity of the lateral barrier against moisture was verified based on the results of the confirmation of the distribution of flow-limiting components.

[0132] In one embodiment, the flow-limiting components are arranged by a laying mechanism along a confirmed continuous and complete boundary path. The flow-limiting components can be water-resistant strips buried below the ground surface or water-blocking strips laid on the ground surface, and the laying method is selected according to the sandy terrain and construction requirements.

[0133] During the laying process, the actual laying position of the flow-limiting components is continuously collected. Spatial coordinate data of the flow-limiting components are obtained through GPS positioning, laser scanning, or visual recognition, and compared with a pre-generated continuous boundary path. When the flow-limiting component is detected to deviate from the center line of the boundary path or the predetermined laying trajectory, the laying mechanism is automatically controlled to adjust the position of the flow-limiting component, so that it returns to the predetermined boundary direction.

[0134] Simultaneously, during the laying or burying process, data on the depth or height of the flow-limiting component relative to the ground surface is acquired, and data on the contact status between the flow-limiting component and the sand is collected in real time. This contact status data includes whether the flow-limiting component is compacted, whether it is in full contact with the sand, and whether there are any gaps or lifting.

[0135] Based on contact state data, the distribution of flow-limiting components in the boundary direction is analyzed. In some embodiments, a sliding window or segmented detection method can be used to confirm whether each segment of the flow-limiting component forms a continuous arrangement or an allowed interval arrangement. The detection results are used to generate a flow-limiting component distribution confirmation result, identifying the continuous or interval state.

[0136] Based on the confirmation results of the distribution of flow-limiting components, the integrity of the lateral water barrier is reviewed. If it is found that some flow-limiting components do not form a continuous closure or the intervals exceed the preset range, an automatic adjustment mechanism or a manual repair mechanism can be activated to make the flow-limiting components form the expected continuous or intermittent distribution structure along the boundary direction of the disturbance implementation unit, thereby ensuring effective lateral water barrier in water resource micro-disturbance operations.

[0137] Preferably, analyzing the distribution state of the current-limiting components based on contact state data and confirming that the current-limiting components form a continuous or intermittent distribution structure in the boundary direction includes:

[0138] The contact state data are sorted and mapped according to their corresponding boundary direction positions to form a contact state data sequence arranged along the boundary direction.

[0139] Based on the contact state data sequence, the continuous contact and non-contact sections of the current limiting component in the boundary direction are identified, and the actual distribution pattern of the current limiting component is determined accordingly.

[0140] Based on the identified actual distribution pattern, confirm whether the current-limiting components form a continuous or intermittent distribution structure in the boundary direction, and generate the corresponding current-limiting component distribution confirmation results.

[0141] In one embodiment, contact status data of the flow-limiting component collected during the laying or burying process is obtained. This data includes at least the spatial location of the flow-limiting component, its contact with the sand, and information on contact pressure or compaction degree.

[0142] The contact state data are sorted and mapped according to their corresponding boundary direction positions to form a contact state data sequence arranged along the boundary direction of the disturbance implementation unit. In some embodiments, the data can be arranged sequentially from the start point to the end point of the boundary path to ensure that the data sequence can reflect the actual laying sequence and spatial continuity.

[0143] Based on the contact state data sequence, continuous contact sections and non-contact sections of the flow-limiting component are identified. Specifically, this includes: determining whether the distance between adjacent contact points is within a preset allowable range; determining whether the contact pressure or compaction state reaches a standard threshold; marking areas that continuously meet the conditions as "continuous contact sections" and areas where the distance exceeds the threshold or where there is poor contact as "non-contact sections".

[0144] By analyzing the contact state sequence along the entire boundary direction, the actual distribution pattern of the flow-limiting components along the boundary direction is identified, and the layout type of the flow-limiting components is determined based on the distribution pattern: when continuous contact sections dominate and the interval between non-contact sections is within the allowable range, it is determined to be a continuous distribution structure; when non-contact sections are obvious and the interval between continuous contact sections exceeds the allowable range, it is determined to be an intermittent distribution structure.

[0145] Based on the judgment results, a confirmation result of the distribution of flow-limiting components is generated, including the spatial location, length, contact state, and overall distribution type of each continuous contact section and non-contact section.

[0146] As an example of the present invention, reference is made to Figure 2 As shown, step S4 in this example includes:

[0147] Step S41: Extract rhythm features and unify time scales of the baseline rhythm data and ecological response change rhythm data of the sandy land to obtain baseline rhythm feature parameters and response rhythm feature parameters;

[0148] Step S42: Based on the baseline rhythm characteristic parameters and the response rhythm characteristic parameters, calculate the rhythm offset characteristics and rhythm recovery characteristics caused by water resource disturbance, and generate water resource disturbance rebound characteristic data;

[0149] Step S43: Based on the water resource disturbance rebound characteristic data, confirm the water resource disturbance rebound capacity level of the target sandy area;

[0150] Step S44: Output the water resource carrying capacity results of the target sandy area based on the water resource disturbance rebound capacity level.

[0151] In one embodiment, rhythmic features are extracted from the baseline rhythmic data of the sandy land ecosystem obtained in step S2 and the rhythmic data of ecological response changes after disturbance obtained in step S3. The rhythmic features extracted include, but are not limited to, the amplitude of periodic changes, peak time, trough time, upward slope, downward slope, and range of rhythmic fluctuations.

[0152] To ensure the comparability of baseline rhythmic characteristic parameters and response rhythmic characteristic parameters, the two types of rhythmic data undergo time-scale unification processing. In some embodiments, interpolation or resampling can be performed on the sampling time points to align the baseline and disturbance response data at the same time interval, thereby obtaining rhythmic characteristic parameters at a unified time scale, including baseline rhythmic characteristic parameters and response rhythmic characteristic parameters.

[0153] Based on baseline rhythmic characteristic parameters and disturbance response rhythmic characteristic parameters, rhythmic shift characteristics and rhythmic recovery characteristics caused by water resource disturbances are calculated. In some embodiments, rhythmic shift characteristics include peak shift, trough delay, and fluctuation amplitude changes; rhythmic recovery characteristics include the time required for the rhythm to return to the baseline state after disturbance, the recovery rate, and recovery stability. This generates water resource disturbance rebound characteristic data, which is used to quantify the response capability of target sandy areas to water resource disturbances.

[0154] Based on the generated water resource disturbance rebound characteristic data, the water resource disturbance rebound capacity level of the target sandy area is confirmed. In some embodiments, grading rules can be set, such as: high rebound capacity level: small rhythm offset amplitude and fast recovery rate; medium rebound capacity level: medium rhythm offset amplitude and moderate recovery rate; low rebound capacity level: large rhythm offset amplitude and slow or unstable recovery rate.

[0155] Finally, based on the confirmed water resource disturbance rebound capacity level, the water resource carrying capacity results for the target sandy area are output. In some embodiments, the carrying capacity results can be quantified into numerical or grade indicators and combined with sandy ecological baseline conditions, disturbance response characteristics, and regional area information to form complete water resource carrying capacity evaluation data.

[0156] Of particular importance, step S42 also includes:

[0157] Compare the response rhythm characteristic parameters with the baseline rhythm characteristic parameters at each time point, and calculate the rhythm offset of each monitoring index under water resource disturbance, where the rhythm offset includes amplitude offset, period offset and phase offset.

[0158] Based on the rhythm offset data, the recovery rate and stability of each monitoring index from the disturbance state to the near baseline state are calculated, and the corresponding rhythm recovery characteristic data are generated.

[0159] By integrating rhythm offset and rhythm recovery features, water resource disturbance rebound feature data is generated. This data is used to describe the intensity and rebound capacity of the ecological rhythm response of the target sandy area under water resource disturbance.

[0160] In one embodiment, the baseline rhythm characteristic parameters and response rhythm characteristic parameters obtained in step S41 are compared at each time point. For each time point, the rhythm offset of each monitoring index under water resource disturbance is calculated, including: amplitude offset: the difference between the disturbance response value and the baseline value; period offset: the change of the response rhythm period relative to the baseline rhythm period; phase offset: the time offset of the response rhythm peak or trough time point relative to the baseline rhythm peak or trough.

[0161] By comparing data point by point over time as described above, a rhythm offset sequence for each monitoring indicator is generated. In some embodiments, a sliding time window or a local weighted average method can be used to smooth the rhythm offset data.

[0162] Next, based on the rhythm offset data, the recovery rate and stability of each monitoring index as it reverts from the perturbed state to a near-baseline state are calculated. In some embodiments, the recovery rate can be quantified by the decrease in rhythm offset per unit time, and the stability can be quantified by the amplitude or variance of rhythm fluctuations after the perturbed state, thereby generating corresponding rhythm recovery characteristic data.

[0163] By integrating rhythm offset data with rhythm recovery feature data, complete water resource disturbance rebound feature data is obtained. This data describes the intensity and resilience of the ecological rhythm response in the target sandy area under water resource disturbance, including information such as the response amplitude, duration, recovery rate, and stability of each monitoring indicator.

[0164] Of particular importance, based on rhythm offset data, the recovery rate and stability of each monitoring index from the perturbed state to a near-baseline state are calculated, including:

[0165] Analyze the rhythm offset data, identify the regression segments of each monitoring index from the start of the disturbance to the near-baseline state, and record the start and end times of each regression segment and the corresponding rhythm offset value in the data matrix;

[0166] Within each regression segment, numerical analysis is performed on the change of rhythm offset over time, and the recovery rate of each monitoring indicator is calculated, including instantaneous recovery rate and average recovery rate, thereby obtaining a recovery rate data matrix.

[0167] Based on the fluctuation of rhythm offset within each regression segment, the recovery stability index is calculated, including the offset fluctuation amplitude, the duration of deviation from the baseline, and the fluctuation attenuation coefficient, to obtain the corresponding recovery stability data.

[0168] Recovery rate data and recovery stability data are integrated as rhythm recovery characteristic data.

[0169] In one embodiment, rhythm offset data is first analyzed to identify the regression segments of each monitoring index from the start of the disturbance to near the baseline state. For each regression segment, the start time, end time, and corresponding rhythm offset value are recorded to form a regression segment data matrix.

[0170] Numerical analysis is performed on the trend of rhythm offset changes over time within the regression segment. In some embodiments, the instantaneous recovery rate, i.e., the rate at which the rhythm offset decreases at any given time point, can be calculated using the finite difference method or the sliding window method. Simultaneously, the average recovery rate, i.e., the ratio of the total decrease in rhythm offset within the entire regression segment to the regression duration, is calculated to form a recovery rate data matrix.

[0171] Based on the fluctuation of rhythm offset within the regression segment, a recovery stability index is further calculated. In some embodiments, the stability index includes: offset fluctuation amplitude: the maximum fluctuation range of rhythm offset within the regression segment; duration of deviation from baseline: the length of time during which the rhythm offset does not fully return to the baseline state; fluctuation decay coefficient: the trend of rhythm offset fluctuation decreasing over time, used to describe the stationarity of the disturbance response.

[0172] By integrating the recovery rate data matrix with the recovery stability data, rhythmic recovery characteristic data is generated. In some embodiments, the rhythmic recovery characteristic data can be used to describe the ecological response resilience of a target sandy area, including the response speed, regression efficiency, and fluctuation stability of each monitoring indicator.

[0173] Therefore, the embodiments should be considered as exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of the equivalents of the application are intended to be included within the invention.

[0174] The above description is merely a specific embodiment of the present invention, enabling those skilled in the art to understand or implement the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the present invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features of the invention herein.

Claims

1. A method for evaluating the water resource carrying capacity of sandy land based on ecological security, characterized in that, Includes the following steps: Step S1: Deploy ecological monitoring units within the target sandy area, wherein each ecological monitoring unit includes at least a water response monitoring component and a surface ecological response monitoring component; Step S2: Run the ecological monitoring unit to obtain the ecological response change rhythm of the sandy area under natural conditions, and record the ecological response change rhythm as sandy ecological baseline rhythm data; Step S3: Introduce controlled water resource response triggering operations to the target sandy area, and continuously collect water response and surface ecological response data to obtain ecological response change rhythm data; Step S4: Confirm the water resource disturbance rebound capacity level of the target sandy area through sandy ecological baseline rhythm data and ecological response change rhythm data, and output the water resource carrying capacity result of the target sandy area according to the water resource disturbance rebound capacity level.

2. The method for evaluating the water resource carrying capacity of sandy land based on ecological security according to claim 1, characterized in that, Step S3, which involves introducing controlled water resources into the target sandy area, includes the following triggering operations: At least one disturbance implementation unit is selected within the target sandy area, wherein the disturbance implementation unit is obtained based on the regional remote sensing image of the target sandy area; The boundary position of the disturbance implementation unit is physically calibrated, and flow-limiting components are set at the boundary position to restrict the lateral flow of water resources within the disturbance implementation unit; Water resources are introduced into the disturbance implementation unit by means of continuous dripping or low-speed infiltration through a water resource injection device installed in the disturbance implementation unit, wherein the duration of a single injection operation is limited to a preset time threshold. During the water resource introduction process, infiltration change signals are collected in real time; When the permeation change signal is greater than or equal to the signal response change threshold, the operation of the water injection device shall be stopped. After stopping the water injection, the water injection device is turned off and the disturbance implementation unit is kept in a static state, and no sand turning, leveling or water replenishment operations are performed during the static period.

3. The method for evaluating the water resource carrying capacity of sandy land based on ecological security according to claim 2, characterized in that, Methods for obtaining the disturbance implementation unit include: Acquire regional remote sensing images of the target sandy area; The regional remote sensing image is cropped according to its spatial boundaries to obtain regional image data; The regional image data is partitioned into multiple spatially contiguous image partition units, wherein the area of ​​each image partition unit is consistent or within the allowable deviation range. In the image partitioning unit, at least one image partitioning unit is selected, and the geographical area corresponding to the image partitioning unit is determined as the disturbance implementation unit.

4. The method for evaluating the water resource carrying capacity of sandy land based on ecological security according to claim 2, characterized in that, The physical calibration of the boundary position of the disturbance implementation unit and the setting of current-limiting components at the boundary position include: Based on the spatial range of the image partition unit corresponding to the disturbance implementation unit, the boundary position is determined segment by segment along the spatial range of the target sandy area, and boundary markers are set at the determined boundary positions; Draw lines along the locations of the boundary markers to form a continuous boundary path that encloses the disturbance implementation unit, and verify the integrity of the boundary path; Based on the integrity confirmation results, flow-limiting components are laid on the ground surface or buried below the ground surface along the continuous boundary path, so that the flow-limiting components are continuously or intermittently distributed along the boundary direction of the disturbance implementation unit, so as to form a lateral barrier of moisture in the circumference of the disturbance implementation unit. The flow-limiting components are fixed in the sand by insertion, pressing, or anchoring, and the parts of the flow-limiting components in contact with the sand are compacted to restrict the lateral flow of water resources at the boundary of the disturbance implementation unit.

5. The method for evaluating the water resource carrying capacity of sandy land based on ecological security according to claim 4, characterized in that, The continuous boundary path forming the enclosure of the disturbance implementation unit by connecting lines along the locations of the boundary markers includes: Connect adjacent boundary markers one by one, so that a straight line segment is formed between every two adjacent markers; Check the abnormal connection status of each straight line segment in turn along the direction of the formed connection; The integrity of the continuous boundary path of the straight line segment is confirmed by the abnormal connection status of each straight line segment, so as to form a continuous boundary path for enclosing the disturbance implementation unit.

6. The method for evaluating the water resource carrying capacity of sandy land based on ecological security according to claim 5, characterized in that, The abnormal connection status of each line segment is checked sequentially along the direction of the formed connection, including: Collect spatial location data between the straight line segment and adjacent landmarks; The gap distance between the straight line segment and the adjacent marker is calculated and compared with the preset maximum gap threshold to identify the excess gap data; The abnormal connection status of each straight line segment is determined by the excess gap data, where abnormal connection status includes line segment deviation and line segment breakage; Automatically adjust the position of straight line segments in response to abnormal connection states.

7. The method for evaluating the water resource carrying capacity of sandy land based on ecological security according to claim 6, characterized in that, Determining the abnormal connection status of each straight line segment using out-of-range gap data includes: Confirm the offset distance between each straight segment and the adjacent marker based on the excess gap data; When the deviation of a straight line segment from the center line of the boundary path is greater than 1.5cm, the straight line segment is judged to have an abnormal deviation. When the gap between a straight line segment and an adjacent marker is greater than 2.5 cm or the length of a continuous gap exceeds 0.2 m, the straight line segment is considered to have a breakage anomaly.

8. The method for evaluating the water resource carrying capacity of sandy land based on ecological security according to claim 4, characterized in that, Based on the integrity verification results, the flow-limiting components are laid on the ground surface or buried below the ground along the continuous boundary path, so that the flow-limiting components are continuously or intermittently distributed along the boundary direction of the disturbance implementation unit. This also includes: The actual laying position of the flow-limiting component is continuously detected, and the detected laying position is compared with the continuous boundary path. When the flow-limiting component deviates from the continuous boundary path, the laying mechanism is controlled to adjust the position of the flow-limiting component. During the laying or burial of flow-limiting components, obtain positional data of the flow-limiting components relative to the ground surface and confirm the contact status data between the flow-limiting components and the sandy land; The distribution of the current-limiting components is analyzed based on the contact state data, and it is confirmed that the current-limiting components form a continuous or intermittent distribution structure in the boundary direction, generating a current-limiting component distribution confirmation result. The integrity of the lateral barrier against moisture was verified based on the results of the confirmation of the distribution of flow-limiting components.

9. The method for evaluating the water resource carrying capacity of sandy land based on ecological security according to claim 8, characterized in that, Based on the analysis of contact state data, the distribution state of the current-limiting components is analyzed, and it is confirmed that the current-limiting components form a continuous or intermittent distribution structure in the boundary direction, including: The contact state data are sorted and mapped according to their corresponding boundary direction positions to form a contact state data sequence arranged along the boundary direction. Based on the contact state data sequence, the continuous contact and non-contact sections of the current limiting component in the boundary direction are identified, and the actual distribution pattern of the current limiting component is determined accordingly. Based on the identified actual distribution pattern, confirm whether the current-limiting components form a continuous or intermittent distribution structure in the boundary direction, and generate the corresponding current-limiting component distribution confirmation results.

10. The method for evaluating the water resource carrying capacity of sandy land based on ecological security according to claim 1, characterized in that, Step S4 includes the following steps: Step S41: Extract rhythm features and unify time scales of the baseline rhythm data and ecological response change rhythm data of the sandy land to obtain baseline rhythm feature parameters and response rhythm feature parameters; Step S42: Based on the baseline rhythm characteristic parameters and the response rhythm characteristic parameters, calculate the rhythm offset characteristics and rhythm recovery characteristics caused by water resource disturbance, and generate water resource disturbance rebound characteristic data; Step S43: Based on the water resource disturbance rebound characteristic data, confirm the water resource disturbance rebound capacity level of the target sandy area; Step S44: Output the water resource carrying capacity results of the target sandy area based on the water resource disturbance rebound capacity level.

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