A landscape engineering implementation benefit analysis early warning method and system

Abstract

The application relates to the technical field of engineering benefit analysis, in particular to a landscape engineering implementation benefit analysis and early warning method and system. The method comprises the following steps: acquiring a sky-ground multi-source monitoring data set, analyzing the change track of key benefit indexes in a multidimensional field before and after engineering implementation based on the sky-ground multi-source monitoring data set, and obtaining an engineering multidimensional benefit characteristic parameter set; based on the engineering multidimensional benefit characteristic parameter set, the synergistic and antagonistic relationship among key indexes is coupled through sand-water-mountain analysis, and a benefit-restriction correlation characteristic information set is obtained; based on the benefit-restriction correlation characteristic information set, future scenarios are deduced, and engineering benefit health diagnosis regulation strategies are generated to inhibit the occurrence of benefit attenuation and ecological restoration risks, and an engineering benefit optimization management decision report is output. The method realizes multidimensional evaluation of landscape engineering implementation benefit and correlation relationship analysis, and provides comprehensive technical support for scientific management of ecological restoration engineering.

Description

TECHNICAL FIELD

[0001] The application relates to the technical field of engineering benefit analysis, in particular to a landscape engineering implementation benefit analysis and early warning method and system. BACKGROUND

[0002] The sand-water-mountain integrated protection and restoration project is a major measure for promoting ecological system management in China. In order to scientifically evaluate the implementation effect of such major projects, it has become an industry consensus to build a three-dimensional monitoring system integrating "sky-ground". Through multi-source technical means, a large amount of multi-scale ecological environment monitoring data can be obtained.

[0003] The existing engineering evaluation methods mostly rely on static threshold judgment or periodic macro effect comparison of monitoring indicators, or only on the changes of a single indicator for stage evaluation. The ecological system is an organic whole, and the interaction between its internal elements is a dynamic coupling process. The balance relationship evolves in real time with climate change, engineering intervention and human activities, causing the dominant factors and potential risks of engineering benefits at different stages to be in dynamic change. The response speed, mode and position of various ecological indicators to disturbance also have significant differences. The static and isolated evaluation mode cannot meet the actual needs of the "benefit-risk" dynamic game in the complex ecological system, resulting in one-sided evaluation conclusions, potential risk discovery lag, and mismatch between control measures and actual needs, which may cause irreversible risks such as engineering benefit attenuation and ecological function degradation, greatly restricting the development of fine and intelligent management level of landscape engineering. SUMMARY

[0004] The application provides a landscape engineering implementation benefit analysis and early warning method and system to solve the above problems.

[0005] In a first aspect, the application provides a landscape engineering implementation benefit analysis and early warning method, which comprises: acquiring a sky-ground multi-source monitoring data set, analyzing the change trajectory of benefit key indicators in multi-dimensional fields before and after the implementation of the project based on the sky-ground multi-source monitoring data set, and obtaining a set of engineering multi-dimensional benefit characteristic parameters; based on the set of engineering multi-dimensional benefit characteristic parameters, the synergistic and antagonistic relationship between the key indicators is coupled to obtain a set of benefit-constraint correlation characteristic information; based on the set of benefit-constraint correlation characteristic information, future scenarios are deduced to suppress the occurrence of benefit attenuation and ecological restoration risks, generate engineering benefit health diagnosis and control strategies, and output engineering benefit optimization management decision reports.

[0006] Optionally, the space-ground multi-source monitoring dataset comprises space-based remote sensing monitoring data, air-based remote sensing monitoring data and ground sensor network data; based on the space-based remote sensing monitoring data, surface cover change and ecological pattern evolution in the engineering construction area are analyzed to identify abnormal fluctuation regions of key benefit indicators, and a macroscopic abnormal region dataset is obtained; based on the macroscopic abnormal region dataset, targeted analysis is performed to analyze fine trajectories of water and soil conservation conditions, soil erosion conditions and slope topographic changes in the macroscopic abnormal region dataset, and an air-based diagnosis index set is generated; based on the air-based diagnosis index set, in combination with the ground sensor network data, field precise measurement of surface processes and ecological parameters is performed to analyze the inherent mechanism of sediment source characteristics, water migration information and slope stability in the air-based diagnosis index set, and a ground verification parameter set is generated; based on the ground verification parameter set, the space-based remote sensing monitoring data is fed back in a closed loop to reversely trace a complete benefit evidence chain from macroscopic phenomena to microscopic mechanisms in three spatial dimensions of sand-water-mountain, and the engineering multi-dimensional benefit characteristic parameter set with causal correlation is generated.

[0007] Optionally, based on the sediment source characteristics, in combination with the soil erosion conditions, key sand source migration trajectories and deposition hot spot regions in the sand production and transport process are analyzed to generate a sand source migration trajectory set; based on the water migration information, in combination with the water and soil conservation conditions, a dynamic path of water from a source region to a sink region and a water balance change process are analyzed to generate a water migration path set; based on the fine trajectory of the slope topographic change, in combination with the inherent mechanism of the slope stability, a driving mechanism of slope stability from local damage to macroscopic evolution is analyzed to generate a slope stability evolution set; the sand source migration trajectory set, the water migration path set and the slope stability evolution set are integrated to construct a causal correlation network with sand-water-mountain synergistic effect as the core, and the engineering multi-dimensional benefit characteristic parameter set is generated.

[0008] Optionally, based on the sand source migration trajectory set, evolution characteristics of sediment sources, fluxes and accumulation forms after engineering implementation are analyzed to generate a sediment constraint factor set; based on the sediment constraint factor set, a coupling relationship between sediment changes and surface runoff, groundwater level and water conservation capacity is analyzed to generate a water-soil interaction relationship set; based on the water-soil interaction relationship set, influence characteristics of water and sediment change processes on mountain stability, slope safety and ecological geological environment are analyzed to determine a constraint characteristic set of mountain response; based on the constraint characteristic set, benefit attenuation and ecological restoration risk causes caused by sediment deposition phenomena are determined to generate the benefit-constraint correlation characteristic information set.

[0009] Optionally, based on the set of sedimentation constraints, the dynamic response relationship of the surface water dynamic condition in the engineering area to the sediment transport and accumulation process is analyzed to obtain a set of surface runoff-sediment transport correlations; based on the set of surface runoff-sediment transport correlations, the influence of the sediment on the soil water content and the potential erosion effect in the process of groundwater level fluctuation is analyzed to obtain a set of groundwater-sediment potential erosion correlations; based on the set of groundwater-sediment potential erosion correlations, the influence of the implementation of the project on the water conservation capacity of the region is analyzed to obtain conservation capacity change information; based on the conservation capacity change information, the feedback mechanism of the change of the conservation capacity on the surface-groundwater hydrological process and the sediment activity is analyzed to obtain the set of water-soil interaction relationships comprehensively representing the influence of the sediment on the flow direction and size of water.

[0010] Optionally, based on the set of water-soil interaction relationships, the stress state change of the slope rock-soil body under the combined action of surface runoff scouring and groundwater potential erosion is analyzed to identify a number of high-risk areas of slope instability to obtain a high-risk area of slope instability; based on the high-risk area of slope instability, the dynamic erosion resistance of the mountain surface layer under the coupling action of the vegetation root soil fixation capacity and the rock-soil mechanical properties of each high-risk area of slope instability is analyzed to obtain a set of ecological geological environment vulnerability evolution; based on the set of ecological geological environment vulnerability evolution, the chain effect path from water and sediment transport to rock-soil response to ecological function degradation of each high-risk area of slope instability is penetrated to determine a set of constraint characteristics of mountain response with slope safety and ecological geological stability as the core.

[0011] Optionally, based on the set of constraint characteristics, the coupling relationship in space between each high-risk area of slope instability and the ecologically-geologically vulnerable area is analyzed to identify a project benefit synergistic attenuation area to obtain a set of benefit attenuation spatial distribution; based on the set of benefit attenuation spatial distribution, the dominant driving factors of the benefit attenuation of each section in the set of benefit attenuation spatial distribution are analyzed based on the set of water-soil interaction relationships; based on a number of the dominant driving factors, the set of multi-dimensional benefit characteristic parameters of the project is associated to analyze the chain reaction process of sediment source expansion, water transport path change and mountain stability decline under the action of each dominant driving factor to obtain a set of benefit-constraint correlation characteristic information from phenomena to mechanisms.

[0012] Optionally, based on the constraint feature set, the spatial distribution of a plurality of sediment deposition high-risk areas and the corresponding relationship with the hydrogeological unit are analyzed to identify a main sediment collection area and a main sediment transport path; based on the main sediment collection area and the main sediment transport path, the influence of the sediment on the flow direction and size of water is combined to analyze the interaction between the sediment deposition intensity in each collection area and the surface runoff scouring force, the groundwater level fluctuation amplitude and the rock-soil permeability, and to determine a sediment deposition cause set leading to continuous sediment deposition; based on the sediment deposition cause set, the sand source migration trajectory set, the water migration path set and the slope stability evolution set are combined to analyze the phenomenon of slope stability decline and vegetation degradation caused by sediment deposition, and the benefit-constraint correlation feature information set is obtained.

[0013] Optionally, based on the benefit-constraint correlation feature information set, the water-sediment transport process and the slope stability evolution trend of the main sediment collection area under different hydro-meteorological conditions are simulated to obtain a benefit decay path set; based on the benefit decay path set, the formation mechanism of the sediment concentrated deposition area and the slope instability section in the benefit decay path is analyzed in reverse in combination with the sediment deposition cause set; based on the formation mechanism, the cascade feedback information of the multi-level deposition-seepage-stress chain is analyzed to generate a targeted control measure library including engineering blocking and guiding, ecological restoration and management control; based on the targeted control measure library, the water-sediment transport process and the mountain stability response under different combinations of control measures are simulated to evaluate the effect of each combination of measures on inhibiting sediment deposition, improving water conservation capacity and enhancing slope stability, and a multi-scenario regulation effect set is generated; based on the multi-scenario regulation effect set, benefit-risk trade-off analysis is performed to select an optimal combination of control measures, generate the engineering benefit health diagnosis regulation strategy, and output the engineering benefit optimization management decision report.

[0014] In a second aspect, the present application provides a mountain-water engineering implementation benefit analysis and early warning system, the system comprising:

[0015] A feature extraction module is configured to obtain a sky-ground multi-source monitoring data set, analyze the change trajectory of key benefit indicators in a multi-dimensional field before and after the implementation of the project based on the sky-ground multi-source monitoring data set, and obtain a project multi-dimensional benefit feature parameter set.

[0016] A benefit constraint module is configured to obtain a benefit-constraint correlation feature information set by coupling the synergistic and antagonistic relationships between key sand-water-mountain analysis indicators based on the project multi-dimensional benefit feature parameter set.

[0017] The benefit deduction module is configured to deduce a future scenario based on the set of benefit-restriction association feature information, generate an engineering benefit health diagnosis control strategy, and output an engineering benefit optimization management decision report, with the goal of inhibiting benefit attenuation and ecological restoration risk. BRIEF DESCRIPTION OF DRAWINGS

[0018] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings in the following description are some embodiments of the present application, and other drawings can be obtained by those skilled in the art without any creative labor.

[0019] Figure 1 An application scenario schematic diagram provided by an embodiment of the present application;

[0020] Figure 2 A flowchart of a landscape engineering implementation benefit analysis and early warning method provided by an embodiment of the present application;

[0021] Figure 3 A landscape engineering implementation benefit analysis and early warning system structure schematic diagram provided by an embodiment of the present application. DETAILED DESCRIPTION

[0022] In order to make the purpose, technical solutions and advantages of the embodiments of the present application more clear, the following will combine the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are some embodiments of the present application, not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without any creative labor are within the scope of protection of the present application.

[0023] In addition, the term "and / or" in this paper is only to describe the association relationship of the associated objects, which means that there can be three relationships, for example, A and / or B, which can represent three cases: A exists alone, A and B exist together, and B exists alone. In addition, the character " / " in this paper generally represents an "or" relationship between the associated objects unless otherwise specified.

[0024] The embodiments of the present application will be further described in detail below in combination with the drawings of the specification.

[0025] The existing engineering evaluation method is limited to static threshold and isolated index, and has been difficult to cope with the dynamic reality of the ecosystem. The coupling interaction of various elements, the balance relationship and the "benefit-risk" dominant factor are always in a state of flux. The gap between the rigid evaluation and the dynamic system is deep, which directly leads to misjudgment, delay and control failure, not only eroding the long-term benefits of the project, but also deepening the plight of extensive management, becoming the core bottleneck of improving the level of refinement and intelligence.

[0026] Based on this, the application provides a landscape engineering implementation benefit analysis and early warning method and system, analyzes the sky-ground multi-source monitoring data set, obtains the engineering multi-dimensional benefit characteristic parameter set, so that the subsequent analysis can fully reflect the engineering benefit; according to the parameter set, the benefit-constraint correlation characteristic information set is obtained through coupling sand-water-mountain analysis, and the internal relationship between benefit and constraint is revealed; further, according to the correlation information set, the future scene is deduced, the engineering benefit health diagnosis control strategy is generated, and the optimization management decision report is output, which guarantees the sustainability and ecological safety of the project, promotes the efficient management of the landscape engineering, and builds a complete technical system from data acquisition to decision support, realizes the multi-dimensional evaluation, correlation analysis and forward control of the landscape engineering implementation benefit, and provides comprehensive technical support for the scientific management of ecological restoration engineering.

[0027] Figure 1 An application scenario provided by the application is shown in the figure. In the process of landscape engineering implementation benefit analysis, the forward-looking hydro-meteorological scenario simulation and benefit decay path analysis can identify potential risks of the project in advance, so that the control is changed from "after-the-fact remediation" to "prevention", avoiding large-scale benefit loss and high repair cost caused by risk accumulation.

[0028] Specifically, the method provided by the application is applied to any server, the server interacts with the monitoring device, obtains the sky-ground multi-source monitoring data set provided by the monitoring device, guarantees the sustainability and ecological safety of the project, promotes the efficient management of the landscape engineering, builds a complete technical system from data acquisition to decision support, and outputs the engineering benefit optimization management decision report to the benefit analysis personnel, realizes the multi-dimensional evaluation, correlation analysis and forward control of the landscape engineering implementation benefit, and provides comprehensive technical support for the scientific management of ecological restoration engineering.

[0029] The specific implementation mode can refer to the following embodiments.

[0030] Figure 2 A flowchart of a landscape engineering implementation benefit analysis and early warning method provided by an embodiment of the application. The method of the embodiment can be applied to the server in the above scene. As shown in the figure, Figure 2 the method includes:

[0031] S201, obtain a sky-ground multi-source monitoring data set, analyze the change trajectory of the key benefit indicators in the multi-dimensional field before and after the implementation of the project based on the sky-ground multi-source monitoring data set, and obtain a multi-dimensional benefit characteristic parameter set of the project.

[0032] The sky-ground multi-source monitoring data set can be a collection of various monitoring data obtained from satellite remote sensing, aerial photography, and ground sensors, provided by monitoring equipment. The multi-dimensional benefit characteristic parameter set of the project can be a collection of key parameters of the benefit of the project in the ecological, economic, and social dimensions.

[0033] Specifically, the mountain-water project involves multiple fields such as ecological restoration, water resource management, and soil conservation. Existing evaluation methods often rely on a single data source, making it difficult to fully capture the comprehensive benefits after the implementation of the project, resulting in one-sided or lagging evaluation results, which cannot provide real-time and accurate decision support for project management. By obtaining a sky-ground multi-source monitoring data set and integrating multi-source data using data fusion technology, the change trajectory of key benefit indicators in multi-dimensional fields before and after the implementation of the project is analyzed, thereby obtaining a multi-dimensional characteristic parameter set reflecting the overall benefit of the project, providing basic data support for subsequent correlation analysis and early warning.

[0034] S202, based on the multi-dimensional benefit characteristic parameter set of the project, the synergistic and antagonistic relationships between the key indicators are coupled to obtain a benefit-constraint correlation characteristic information set.

[0035] The synergistic and antagonistic relationships can be the interaction relationships between the key indicators of sand-water-mountain. The "synergistic relationship" means that the positive change of one indicator promotes the positive development of another indicator, and the "antagonistic relationship" means that the negative change of one indicator inhibits the development of another indicator. The benefit-constraint correlation characteristic information set can be a collection of information related to the benefit and constraint factors.

[0036] Specifically, in the mountain-water project, sand, water, and mountain elements interact with each other, and there can be complex interactions between benefit indicators (such as vegetation restoration that can improve soil conservation but increase water consumption). Existing methods often ignore these coupling relationships, leading to one-sided optimization strategies and even causing secondary ecological problems. This scheme reveals the synergistic and antagonistic relationships between key indicators by coupling sand-water-mountain analysis, thereby identifying the benefit driving mechanism and constraint factors, avoiding blindness in project management, and providing a scientific basis for developing balanced strategies.

[0037] S203, based on the benefit-constraint correlation characteristic information set, the future scenario is deduced, the goal is to suppress the benefit decay and ecological restoration risk, the engineering benefit health diagnosis control strategy is generated, and the engineering benefit optimization management decision report is output.

[0038] The engineering benefit health diagnosis regulation strategy can be a strategy for evaluating the engineering health status and proposing adjustment measures.

[0039] Specifically, the landscape engineering is a long-term process, and the benefits may decay over time (such as vegetation degradation and water quality deterioration), or ecological risks may occur (such as soil desertification intensification). The existing management lacks foresight and often makes after-the-fact remedies, which is costly and ineffective. By extrapolating future scenarios, predicting future trends based on current correlations, and generating adaptive regulation strategies to suppress benefit decay and risks, sustainable management of the project is achieved, and response speed and decision-making efficiency are improved.

[0040] In the manner provided by the present embodiment, the multi-dimensional benefit characteristic parameter set of the project is obtained by analyzing the sky-ground multi-source monitoring data set, so that the subsequent analysis can fully reflect the project benefits; according to the parameter set, the benefit-constraint correlation characteristic information set is obtained by coupling sand-water-mountain analysis, and the internal relationship between benefit and constraint is revealed; further, according to the correlation information set, the future scenario is extrapolated, the engineering benefit health diagnosis regulation strategy is generated, and the optimized management decision report is output, which guarantees the sustainability and ecological safety of the project, promotes the efficient management of the landscape engineering, and builds a complete technical system from data acquisition to decision support, realizes the multi-dimensional evaluation, correlation analysis and forward regulation of the implementation benefits of the landscape engineering, and provides comprehensive technical support for the scientific management of ecological restoration projects.

[0041] In some embodiments, the sky-ground multi-source monitoring data set includes space-based remote sensing monitoring data, air-based remote sensing monitoring data and ground sensor network data; based on the space-based remote sensing monitoring data, the surface cover change and ecological pattern evolution in the project construction area are analyzed, the abnormal fluctuation area of the benefit key indicators is identified, and the macro- abnormal area data set is obtained; based on the macro- abnormal area data set, targeted analysis is performed, the fine trajectory of the soil and water conservation status, soil erosion and slope topographic change in the macro- abnormal area data set is analyzed, and the air-based diagnosis index set is generated; based on the air-based diagnosis index set, combined with the ground sensor network data, the on-site precise measurement of the surface process and ecological parameters is performed, the internal mechanism of the sediment source characteristics, water migration information and slope stability in the air-based diagnosis index set is analyzed, and the ground verification parameter set is generated; based on the ground verification parameter set, the closed-loop feedback to the space-based remote sensing monitoring data is performed, the complete benefit evidence chain from macro-phenomenon to micro-mechanism of sand-water-mountain three spatial dimensions is traced back, and the engineering multi-dimensional benefit characteristic parameter set with causal correlation is generated.

[0042] The benefit key indicators in the multi-dimensional field can be a set of indicators covering the core influence fields of ecological, geological, hydrological, and other mountain-water engineering. The change trajectory can be the dynamic change trend of the benefit key indicators over time. The macro anomaly region data set can be a set of regions where the benefit key indicators exceed the normal range identified by space-based remote sensing data. The ground sensor network data can be real-time monitoring data obtained by deploying ground sensors in the engineering area in the space-ground multi-source monitoring data set. The space-based remote sensing monitoring data can be macro monitoring data of the engineering construction area obtained by satellite remote sensing equipment. The air-based diagnostic indicator set can be a set of indicators obtained by fine analysis of the macro anomaly region. The ground-based verification parameter set can be a set of verification parameters obtained by ground sensing and field measurement. The sand-water-mountain three spatial dimensions can be the three core spatial categories of sediment transport, water cycle, and mountain stability in mountain-water engineering. The complete benefit evidence chain can be a set of benefit correlation evidence from macro phenomena to micro mechanisms. The causal correlation can be the causal relationship between the benefit key indicators.

[0043] Specifically, in the process of analyzing the implementation benefits of mountain-water engineering, the multi-dimensional benefit characteristic parameter set of the engineering is the basis for benefit analysis and early warning, which can solve the limitations of single monitoring, fill in the blind area, such as difficult to distinguish micro-topography by space-based, narrow coverage by air-based, and few ground points, establish macro-micro causal correlation, avoid data and mechanism disconnection, ensure the comprehensiveness of indicators, prevent analysis from being one-sided, and output the parameter set as the premise for subsequent benefit constraint analysis and strategy generation. Without this link, the subsequent analysis will lose a reliable basis, so it is indispensable. This step solves the above problems by the following methods: First, clarify the composition and acquisition method of the space-ground multi-source monitoring data set, use supervised classification method to interpret the space-based remote sensing monitoring data, analyze the change proportion of land cover types (such as forest land, grassland, and bare land) before and after the implementation of the project (such as the area of bare land decreasing from 20% before implementation to 8% after implementation) and the evolution trend of patch connectivity in ecological pattern (such as the connectivity index increasing from 0.3 to 0.6), and identify the abnormal fluctuation region of the benefit key indicators (such as the soil erosion modulus of a certain construction section reaching 650 t / (km 2 ・a) determining that the slope displacement is more than 5 mm / month is abnormal), and identifying the abnormal fluctuation region of the benefit key indicators (such as the soil erosion modulus of a certain construction section reaching 650 t / (km 2・a), which is incorporated into the macroscopic anomaly region dataset; then, the macroscopic anomaly region dataset is overlaid with the space-based remote sensing image using the ArcGIS spatial overlay analysis tool to target and analyze the macroscopic anomaly region, and the high-resolution advantage of space-based remote sensing is used to calculate the slope value of the slope terrain change (for example, the slope before implementation is 25°, and after implementation, it becomes 32° due to excavation) through the 3DAnalyst tool, combined with the soil samples collected on site (for example, 10 soil samples are collected in the anomaly region, and the average soil erosion depth is 6 cm), to analyze the water and soil conservation status (for example, the water and soil conservation rate in this region decreases from 85% before implementation to 60% after implementation), the spatial distribution of soil erosion (for example, the erosion serious area is concentrated in the lower part of the slope, with an area of about 0.5km 2 ) and the fine trajectory of the slope terrain change (for example, a 10-meter-long crack appears at the top of the slope), to generate a space-based diagnostic index set containing water and soil conservation rate, soil erosion modulus, slope change value, etc.; then, based on the space-based diagnostic index set, 8 ground surface runoff observation points (monitoring ground surface runoff speed, the average measured speed is 0.3m / s) are arranged in the anomaly region using the in-situ monitoring method, combined with the real-time soil moisture data collected by the ground sensor network (for example, the soil moisture of a certain observation point is 18%), to accurately measure the ground process (such as the path and flow of surface runoff) and ecological parameters (such as vegetation coverage, which is measured by field quadrat investigation to be 40%) on site, and analyze the collected sediment samples through indoor particle size distribution test (for example, the proportion of sediment with particle size less than 0.05mm is 70%, and it is determined that the sediment is mainly fine sand), to analyze the sediment source characteristics (for example, the sediment mainly comes from the bare area of the slope, accounting for 80% of the total sediment amount), water transport information (for example, water transports from the top to the bottom of the slope at an average speed of 0.1m / d) and the internal mechanism of slope stability (for example, the soil and rock cohesion is 22kPa and the internal friction angle is 30° measured by indoor geotechnical mechanics test, which determines that the slope is currently in a basically stable state), to generate a ground verification parameter set containing sediment particle size distribution, water transport speed, geotechnical mechanics parameters, etc.; finally, based on the ground verification parameter set, the space-based diagnostic index set is matched with the sediment deposition area (such as the downstream river channel deposition area) in the space-based remote sensing image using the ArcGIS spatial correlation analysis method, and the feedback is closed to the space-based remote sensing monitoring data, and the sand-water-mountain correlation model (such as analyzing the spatial correspondence between the sediment source area and the water sink area, and determining that the coincidence degree of the water transport path and the sediment transport path is 90%) is constructed, and the macroscopic phenomenon (the downstream river channel deposition area observed by space-based observation is 0.2km 2) to the complete benefit evidence chain of micro-mechanism (slope bare land erosion leading to sediment transport by foundation analysis), integrating the sediment source migration trajectory set (such as sediment transport from slope bare land to downstream river channel by surface runoff, with a transport distance of about 2 km), the water migration path set (such as water migration along the slope gradient, passing through three monitoring points), and the slope stability evolution set (such as the slope stability coefficient rising from 1.1 before implementation to 1.3 after implementation), and finally generating a multi-dimensional benefit characteristic parameter set of the project with causal correlation, which includes 20 core parameters such as sediment migration amount (such as annual migration amount decreasing from 800 t before implementation to 300 t after implementation), water migration speed, and slope stability coefficient, and clearly showing the causal relationship of “slope vegetation restoration → soil erosion reduction → sediment deposition reduction → river ecology improvement”.

[0044] In the manner provided by this embodiment, multi-source monitoring data are cooperated and causal chain is reconstructed, which significantly improves the comprehensiveness, accuracy and mechanism explainability of the benefit evaluation of the mountain-water project, and provides effective support for the precise management and risk warning of ecological restoration projects.

[0045] In some embodiments, based on the characteristics of sediment sources, combined with soil erosion conditions, the key sediment source migration trajectories and deposition hotspots in the process of sediment generation and transport are analyzed to generate a sediment source migration trajectory set; based on water migration information, combined with water and soil conservation conditions, the dynamic path of water from the source area to the sink area and the water balance change process are analyzed to generate a water migration path set; based on the fine trajectory of slope topographic change, combined with the internal mechanism of slope stability, the driving mechanism of slope stability from local damage to macro evolution is analyzed to generate a slope stability evolution set; the sediment source migration trajectory set, the water migration path set, and the slope stability evolution set are integrated to construct a causal correlation network with sand-water-mountain synergistic effect as the core, and a multi-dimensional benefit characteristic parameter set of the project is generated. The complete benefit evidence chain can be a set of evidence that is traceable, verifiable, and has clear causal relationship between macro phenomena and micro mechanisms. The sediment source migration trajectory set can be a data set recording the complete movement process and key characteristics of sediment from “generation source” to “transport path” to “deposition area” after the implementation of the project. The water migration path set can be a data set describing the dynamic flow path and water balance change of water from “source area” to “sink area” in the project area. The slope stability evolution set can be a data set reflecting the driving mechanism and process characteristics of the slope from “local minor damage” to “macro stability change”.

[0046] Specifically, the landscape engineering implementation benefit analysis involves complex multi-dimensional interaction. The existing method often analyzes sand, water, and mountain elements in isolation, which cannot reveal the causal chain between macro and micro, leading to one-sided benefit evaluation and lagging risk warning. The following methods are used to solve the above problems: according to the characteristics of sediment sources and soil erosion, geographic information systems (such as ArcGIS) and sediment transport models (such as the USLE model) are used to analyze the sediment generation and transport process, identify the key sediment source migration track (such as the path of sediment from upstream to downstream) and deposition hotspot area (such as the area with high sediment deposition), and generate the sediment source migration track set; based on the water transport information and soil and water conservation conditions, through the hydrological model (such as the SWAT model) and path analysis algorithm, the dynamic path of water from the source area (such as the rainfall area) to the sink area (such as the reservoir) and the water balance change process (such as the change of evaporation, runoff and infiltration) are simulated, and the water transport path set is generated; according to the fine track of slope topographic change (such as monthly topographic change data) and the internal mechanism of slope stability (such as rock-soil internal friction angle), rock-soil mechanics model (such as limit equilibrium method) and stability analysis software (such as Slide software) are used to analyze the driving mechanism (such as rainfall infiltration) of slope stability from local damage (such as surface slip) to macro evolution (such as overall collapse), and the slope stability evolution set is generated; finally, the sediment source migration track set, water transport path set and slope stability evolution set are integrated, and the network analysis tool (such as Gephi) is used to build the causal correlation network with sand-water-mountain synergistic effect as the core, thereby generating the multi-dimensional benefit characteristic parameter set of the project.

[0047] By the way provided by the embodiment, the benefits of the mountain-water project can be comprehensively analyzed from multiple dimensions, the internal relationship between sand, water and mountain is revealed, the accuracy and reliability of benefit evaluation are improved, scientific basis is provided for project management, targeted control measures are formulated, the occurrence of benefit attenuation and ecological restoration risks is effectively inhibited, and the sustainability of the project is promoted.

[0048] In some embodiments, based on the sediment source migration track set, the evolution characteristics of sediment sources, fluxes and accumulation forms after the implementation of the project are analyzed, and a sediment constraint factor set is generated; based on the sediment constraint factor set, the coupling relationship between sediment changes and surface runoff, groundwater level and water conservation capacity is analyzed, and a water-soil interaction relationship set is generated; based on the water-soil interaction relationship set, the influence characteristics of water and sediment change process on mountain stability, slope safety and ecological geological environment are analyzed, and a constraint characteristic set of mountain response is determined; based on the constraint characteristic set, the causes of benefit attenuation and ecological restoration risks caused by sediment deposition are determined, and a benefit-constraint correlation characteristic information set is generated.

[0049] The set of sediment restriction factors can be a set formed by key influencing factors of sediment that affect the benefits of the project after the implementation of the extraction engineering. The groundwater level can be the buried depth of groundwater in the project area. The set of water-soil interaction relationships can be a set of relationships that clearly couple the mechanisms between sediment changes and surface runoff, groundwater level, and water conservation capacity. The set of restriction characteristics can be a set formed by key restriction factors that clearly affect the response of the mountain. The sediment accumulation phenomenon can be the accumulation and blockage of sediment in the river channel, underground pores, pipe network, and other areas. The benefit attenuation can be the decline of the expected benefits after the implementation of the project. The ecological restoration risk causes can be the reasons for poor or failed ecological restoration effects.

[0050] Specifically, after the implementation of the mountain-water project, the sustainability of the project benefits faces multiple challenges, especially the chain reaction caused by sediment activity, which can lead to benefit attenuation and ecological risks. For example, the sediment accumulation phenomenon can block the drainage system, increase surface runoff, and then erode the slope, threatening the stability of the mountain; at the same time, the coupling relationship between sediment changes and hydrological processes (such as surface runoff and groundwater level) can damage the water conservation capacity and affect the regional ecological balance. This step solves the above problems by the following methods: according to the multi-dimensional benefit characteristic parameter set of the project, using GIS spatial overlay analysis, SWAT hydrological model simulation, FLAC3D geotechnical mechanics analysis, and fishbone diagram causal analysis techniques, the sand-water-mountain key index is coupled step by step to generate the benefit-restriction correlation characteristic information set: first, for the sand source migration trajectory set, combined with field sampling (such as laying 10 sediment sampling points to analyze the sample characteristics before and after the project), analyze the sediment source evolution (such as region A accounting for 60% of the sand source before the project, and region B accounting for 30% after the project), flux change (from 500 t / month to 300 t / month in the rainy season), and accumulation morphology (the thickness of the accumulation body before the dam is 1.5 m), extract the key factors to generate the set of sediment restriction factors; then, according to the factor set, combined with ground sensor data (such as 8 water level sensors and 5 runoff monitoring station data), use the SWAT model to simulate the coupling relationship between sediment and surface runoff (flux increases by 100 t / month, flow rate increases from 0.8 m / s to 1.0 m / s), groundwater level (from 2.0 m to 1.5 m), and water conservation capacity (from 400 mm / year to 300 mm / year), to generate the set of water-soil interaction relationships; then, using FLAC3D software combined with ecological survey data (such as the slope vegetation coverage rate from 40% to 70%), analyze the influence of water and sediment on mountain stability (coefficient from 1.5 to 1.2), slope safety (coefficient from 1.3 to 1.1), and ecological geological environment (soil organic matter from 2.5% to 1.8%), to determine the set of restriction characteristics; finally, use the fishbone diagram analysis method to trace the risk root cause, find that the river channel is blocked by 0.8 m (flood control benefit decreases by 20%), and the underground pipe network is blocked by 40% (vegetation survival rate decreases by 25%), and integrate the above results to generate the benefit-restriction correlation characteristic information set.

[0051] By the way provided by the present embodiment, the synergistic and antagonistic relationships between the sand-water-mountain key indicators are coupled and analyzed, the constraint factors and risk causes of the engineering benefits can be comprehensively identified, the generated benefit-restriction correlation feature information set not only reveals the surface phenomenon, but also goes deep into the mechanism level, provides precise data support for the subsequent engineering benefit health diagnosis and regulation strategy, enhances the risk early warning ability and the scientificity of management decision of the mountain-water project, and finally promotes the sustainability and ecological safety of the engineering benefits.

[0052] In some embodiments, based on the set of sediment restriction factors, the dynamic response relationship of the surface water dynamic condition in the engineering area to the sediment transport and accumulation process is analyzed to obtain a surface runoff-sediment transport correlation set; based on the surface runoff-sediment transport correlation set, in combination with the ground sensing network data, the sediment potential stratum migration path that has an influence on the soil moisture content and the potential erosion effect in the groundwater level fluctuation process is analyzed to obtain a groundwater-sediment potential erosion correlation set; based on the groundwater-sediment potential erosion correlation set, the influence of the project implementation on the water conservation capacity of the region is analyzed to obtain conservation capacity change information; based on the conservation capacity change information, the feedback mechanism of the conservation capacity change to the surface-underground hydrological process and sediment activity is analyzed to obtain a water-soil interaction relationship set that comprehensively represents the influence of sediment on the flow direction and size of water.

[0053] The hydrological process can be the movement and transformation process of surface water and groundwater in the engineering area. The water balance parameter can be a parameter of the balance relationship between water inflow and outflow in the engineering area within a certain period. The surface runoff-sediment transport correlation set can be obtained by analyzing the dynamic response relationship of the surface water dynamic condition in the engineering area to the sediment transport and accumulation process. The groundwater-sediment potential erosion correlation set can refer to the analysis of the sediment potential stratum migration path that has an influence on the soil moisture content and the potential erosion effect in the groundwater level fluctuation process. The soil moisture content can be the proportion of water content in soil to dry weight or volume, which is a key parameter reflecting the soil moisture condition. The potential erosion effect can be a geological action that causes the formation of cavities or loose zones in the stratum during the flow of groundwater, which is one of the important factors causing slope instability and sediment transport. The sediment potential stratum migration path can be a channel or path that the sediment particles may migrate in the soil or stratum under the influence of groundwater level fluctuation and potential erosion effect, which usually needs to be inferred in combination with groundwater dynamics analysis. The conservation capacity change information can be the influence of the project implementation on the water conservation capacity of the region, reflecting the change information of the regional water conservation amount, soil infiltration rate and other indicators before and after the project.

[0054] Specifically, the sediment activity in the engineering area not only directly restricts the benefit of soil and water conservation, but also indirectly affects the regional hydrological cycle and ecological stability by changing the surface roughness, infiltration channel, underground water storage space, etc. If the coupling mechanism between sediment and hydrological elements is ignored, it will be difficult to identify the deep causes of benefit attenuation, to achieve closed-loop diagnosis from phenomena to mechanism, and to provide reliable basis for subsequent risk warning and control strategy. This step solves the above problems by the following methods: According to the set of sediment restricting factors, the hydrological dynamics analysis method (combined with the theoretical models such as Manning formula and sediment transport formula) is used, and the surface runoff data (such as runoff velocity 1.5 m / s and runoff depth 0.3 m under heavy rain, and runoff velocity 0.4 m / s and depth 0.05 m under light rain) obtained from the field runoff monitoring station is integrated, to analyze the dynamic response relationship between the surface hydrodynamic conditions (such as water flow shear force and runoff Reynolds number) in the engineering area and the sediment transport and accumulation process. For example, when the runoff velocity exceeds 0.9 m / s, the sediment transport distance increases from 500 m at 0.6 m / s to 800 m, and when the velocity is lower than 0.5 m / s, the sediment begins to accumulate at a rate of 0.02 m / d. Thus, the surface runoff-sediment transport correlation set is obtained. According to the correlation set, combined with the ground sensor network data (from the sensors arranged at intervals of 500 m in the engineering area, such as underground water level 0.6 m in rainy season and 2.8 m in dry season with maximum monthly fluctuation of 1.2 m, soil moisture content 28% one day after rain, 15% three days after rain, and 9% one week after rain), the analysis method combining underground hydrodynamics (such as Darcy's law) and soil physics (such as soil water characteristic curve theory) is used to analyze the influence of underground water level fluctuation on soil moisture content and potential erosion (such as soil silt migration leading to porosity increasing from 30% to 35%), and to identify the potential sediment stratum migration path (such as when the underground water level fluctuation exceeds 1 m and the soil moisture content is higher than 16%, the sandy loam area is easy to form a migration channel with a diameter of 5-10 cm, extending from 2 m to 5 m along the sand layer underground), to generate the underground water-sediment potential erosion correlation set. According to the potential erosion correlation set, the ecological hydrological evaluation method (combined with the water source conservation module of InVEST model and soil infiltration rate measurement experiment) is used, combined with the vegetation monitoring data in the engineering area (such as the coverage rate of trees increasing from 25% to 55% and the coverage rate of herbs increasing from 30% to 70%) and the measured data of soil infiltration rate (such as 0.4 mm / min before the project and 1.3 mm / min after the project), to analyze the influence of the project on the water source conservation capacity, such as the monthly average conservation capacity increasing from 18 mm to 42 mm (the contribution ratio of vegetation interception increasing from 30% to 50% and the contribution ratio of soil infiltration increasing from 40% to 45%), to obtain the conservation capacity change information. According to the information, the system feedback analysis method (building a water-sand-conservation capacity coupling system causal loop diagram) is used to analyze the feedback mechanism of conservation capacity change on the surface-underground hydrological process and sediment activity, for example, when the conservation capacity increases by 24 mm per month, the total amount of surface runoff decreases by 18% (such as the monthly average flow of a certain river section decreases by 12 m 3 / s to 9.8 m 3 / s), groundwater recharge increases by 22% (e.g., groundwater level rises by 0.3 m on average), which in turn leads to a decrease of 13% in sediment transport (e.g., transport capacity decreases from 350 kg / s to 305 kg / s), a decrease of 50% in the rate of potential erosion (e.g., from 0.01 m / d to 0.005 m / d), and finally a comprehensive set of water-sediment interaction relationships that characterize the direction (e.g., runoff shifts from due north to northeast, a deflection of about 30°, due to sediment accumulation on the left bank) and magnitude (e.g., sediment deposition causes a decrease of 50% in the water volume of a certain tributary, from 5 m 3 / s to 3.2 m 3 / s) of the water flow.

[0055] In the manner provided by this embodiment, multi-process coupling analysis from sediment control to hydrological response is achieved, the disturbance mechanism of sediment activity on water cycle processes is accurately revealed, scientific basis is provided for identifying benefit attenuation risks and developing targeted water and soil regulation strategies, and the accuracy of comprehensive benefit evaluation of mountain-water engineering and the reliability of early warning capability are significantly improved.

[0056] In some embodiments, based on the set of water-soil interaction relationships, the stress state changes of the slope rock-soil mass under the combined action of surface runoff erosion and groundwater potential erosion are analyzed, a number of high-risk areas of slope instability are identified, and a set of high-risk areas of slope instability is obtained; based on the high-risk areas of slope instability, in combination with a set of multi-dimensional benefit characteristic parameters of the project, the dynamic erosion resistance of the mountain surface layer under the coupling action of the soil fixation ability of vegetation roots and the rock-soil mechanical properties of each high-risk area of slope instability is analyzed, and a set of evolution of ecological geological environment vulnerability is obtained; based on the set of evolution of ecological geological environment vulnerability, the chain effect path from water and sediment transport to rock-soil response to ecological function degradation of each high-risk area of slope instability is linked, and a set of constraint characteristics of mountain response with slope safety and ecological geological stability as the core is determined.

[0057] The water-sediment variation process can be a dynamic evolution process of water and sediment transport in the region after the implementation of the project. The mountain stability can be the state of the mountain maintaining the overall structure without collapse, landslide and other geological disasters under the influence of natural environment and engineering activities. The slope safety can be the state of the slope in the engineering region not being destabilized and damaged under the influence of water and sediment, self-weight of rock-soil mass and other factors. The ecological and geological environment can be an ecological and geological coupled system composed of geological structure, rock-soil mass, vegetation, hydrology and other factors in the engineering region, and the state can be characterized by vegetation coverage, soil erosion modulus, rock-soil mass porosity and other parameters. The constraint feature set of mountain response can be a feature set that has a constraining effect on mountain stability, slope safety and ecological and geological environment under the influence of the water-sediment variation process. The surface runoff erosion can be the erosion and transport of surface runoff to the surface rock-soil mass during the flow process, and the intensity can be measured by the erosion force and erosion depth. The groundwater latent erosion can be the process of dissolution and transport of fine particles in the rock-soil mass by groundwater during the flow process, leading to the destruction of the structure of the rock-soil mass. The stress state of the slope rock-soil mass can be the force state per unit area in the slope rock-soil mass. The high-risk area of slope instability can be the area where the stress state of the slope rock-soil mass exceeds the safety threshold and is prone to landslide, collapse and other instability accidents, and the division is based on the slope stability coefficient and the stress change rate of rock-soil mass. The vegetation root soil fixation capacity can be the property of the vegetation root system to enhance the soil erosion resistance and shear resistance by winding and inserting, and the size can be measured by the root soil fixation strength and the root distribution depth. The rock-soil mechanics property can be the physical and mechanical properties of rock-soil mass resisting external force. The mountain surface erosion resistance dynamic can be the dynamic change of the erosion resistance of the mountain surface under the influence of water and sediment, vegetation coverage change and other factors. The ecological and geological environment vulnerability evolution set can be a feature set reflecting the evolution of the vulnerability of the ecological and geological environment in the engineering region over time. The chain effect path can be a continuous causal relationship chain from the abnormal water and sediment transport to the ecological function degradation in the engineering region.

[0058] Specifically, in the benefit analysis and early warning of the mountain-water engineering, from the perspective of engineering safety, the surface and underground action analysis can be integrated to accurately identify high-risk areas of slope instability and avoid missing early warnings; from the perspective of ecological assessment, the coupling of vegetation and rock-soil action can truly reflect the vulnerability of ecological geological environment and ensure objective assessment; from the perspective of strategy generation, the complete causal chain from water and sediment transport (such as runoff carrying sediment particles into rock fissures), to rock-soil mechanical response (such as the rise of pore water pressure leading to a decrease in effective stress), to ecological function degradation (such as vegetation coverage decreasing to 0.3 or below causing surface soil erosion) is linked to provide a root basis for the regulation strategy, ensuring the scientificity of the strategy; from the perspective of process connection, the integration of previous data and support for subsequent steps can avoid process faults and ensure the integrity of the system. The above problems are solved by the following methods: first, based on the set of water-soil interaction relationships that comprehensively represent the flow direction and size of sediment on water, rock-soil mechanics stress analysis, hydrodynamic coupling simulation, and geographic information system (GIS) spatial overlay analysis methods are used to analyze the stress distribution and plastic zone development of rock-soil mass under the combined action of surface runoff erosion and groundwater seepage erosion (for example, using the Mohr-Coulomb criterion to evaluate the change of shear strength parameters), identify high-risk areas of slope instability caused by shear stress concentration or increased seepage force (such as areas with a slope steeper than 25 degrees, cohesion less than 20 kPa, and groundwater level less than 2 meters), and form a high-risk area spatial distribution set; then, combined with the set of multi-dimensional benefit characteristic parameters of the project including sand source migration trajectory, water migration path, and slope deformation history, the ecological geomechanics coupling evaluation method and time series remote sensing interpretation technology are used to analyze the dynamic coupling process of the mechanical soil-fixing effect of vegetation roots (such as inverse additional shear strength according to root density and depth) and the physical and mechanical properties of rock-soil mass (such as the relationship between internal friction angle and water content) in each high-risk area, quantitatively evaluate the evolution trend of surface erosion resistance of the mountain with time and external disturbance, and generate a quantitative evolution set of ecological geological environment vulnerability; further, the system linkage path analysis and multi-factor contribution evaluation method are used to link the complete causal chain of each high-risk area from water and sediment transport (such as runoff carrying sediment particles into rock fissures), to rock-soil mechanical response (such as the rise of pore water pressure leading to a decrease in effective stress), to ecological function degradation (such as vegetation coverage decreasing to 0.3 or below causing surface soil erosion), and finally accurately determine the constraint characteristic set of mountain response centered on slope safety and ecological geological system stability.

[0059] By the way provided by the present embodiment, the mechanical analysis and ecological geological evaluation means are coupled to realize accurate mapping from the water and sediment dynamics process to the rock-soil stability response, reveal the slope instability mechanism under the action of multiple factors, and be beneficial to improving the comprehensiveness and early warning ability of risk identification in the mountain-water engineering area and supporting the generation of targeted regulation strategies.

[0060] In some embodiments, based on the constraint feature set, the coupling relationship in space between each high-risk area of slope instability and the ecologically-geologically fragile area is analyzed, a region of synergistic attenuation of engineering benefits is identified, and a set of spatial distribution of benefit attenuation is obtained; based on the set of spatial distribution of benefit attenuation, in combination with the set of water-soil interaction relationship, the dominant driving factors of benefit attenuation in each section of the set of spatial distribution of benefit attenuation are analyzed and obtained; based on the dominant driving factors, in association with the set of multi-dimensional benefit feature parameters of engineering, the chain reaction process of sediment source expansion, water migration path change and mountain stability decline under the action of each dominant driving factor is analyzed, and a set of benefit-constraint correlation feature information from phenomenon to mechanism is obtained. The set of ecologically-geologically environmental vulnerability evolution can be a data set formed by the dynamic anti-erosion of the mountain surface under the coupling action of the vegetation root soil fixation capacity and the rock-soil mechanical properties of each high-risk area of slope instability. The high-risk area of slope instability can be a specific area prone to slope instability identified by analyzing the stress state change of the rock-soil mass under the combined action of surface runoff erosion and groundwater seepage erosion. Water and sediment transport can be the flow path of water and the transport process of sediment in the engineering area. Rock-soil response can be the mechanical property change and structure state change of rock-soil mass under the action of water and sediment. Ecological function degradation can be the decline of ecological system function in the engineering area. The chain effect path can be a continuous action chain from water and sediment transport anomaly to rock-soil state change to ecological function decline. Slope safety can be the state of the slope remaining stable and not collapsing under natural conditions and engineering action. Ecologically-geologically stable can be the state of the geological environment and ecological system in the engineering area remaining stable in coordination. The constraint feature set of mountain response can be a set of constraint factors and their features reflecting the mountain under the influence of external factors, with slope safety and ecologically-geologically stable as the core. The set of spatial distribution of benefit attenuation can be a data set of regions and spatial distribution of synergistic decline of engineering benefits identified by analyzing the spatial coupling relationship between the high-risk area of slope instability and the ecologically-geologically fragile area. The dominant driving factor can be the factor that plays a major role in the process of benefit attenuation.

[0061] Specifically, after the implementation of the landscape engineering, the benefit decay and ecological restoration risk often originate from the multi-factor chain reaction. A simple analysis of a single dimension (such as sediment or water flow) cannot fully capture the risk causes. For example, slope instability may be triggered by water and sediment transport, which in turn leads to changes in rock-soil stress and ecological function degradation, forming a chain effect. If this path is not penetrated, engineering management may only target surface phenomena (such as sediment deposition), while ignoring the underlying mechanisms (such as rock-soil response or ecological degradation), leading to ineffective control measures. This step solves the above problems by the following methods: using multi-source data fusion and causal chain analysis methods, first, according to the ecological and geological environment vulnerability evolution set, the spatial position and vulnerability parameters (such as vulnerability index) of each high-risk area of slope instability are extracted, and the intersection point of water and sediment transport path and high-risk area is identified by using geographic information system (GIS) for spatial overlay analysis; secondly, the influence of water and sediment transport on rock-soil stress is simulated by using rock-soil mechanics model (such as finite element analysis), and the rock-soil response parameters (such as stress change rate) are obtained; then, the ecological function degradation degree (such as degradation rate) is quantified by combining the ecological function evaluation model (such as vegetation coverage change analysis); finally, the chain effect of water and sediment transport, rock-soil response and ecological function degradation is penetrated by using path analysis method (such as structural equation modeling), and a causal network is constructed, so as to determine the constraint feature set with slope safety and ecological and geological stability as the core, including key constraint factors (such as sediment deposition intensity) and risk levels.

[0062] In the manner provided by this embodiment, the chain effect path from water and sediment transport to ecological function degradation is penetrated, so that the determined constraint feature set can fully reflect the multi-dimensional constraint relationship of mountain response, improving the accuracy and pertinence of engineering benefit early warning, providing a reliable data basis for subsequent generation of control strategies, and enhancing the risk prevention and control capability of engineering management.

[0063] In some embodiments, based on the constraint feature set, the spatial distribution of a plurality of sediment deposition high-risk areas and the corresponding relationship with the hydrogeological unit are analyzed, and the main sediment collection area and the main sediment transport path are identified; based on the main sediment collection area and the main sediment transport path, the interaction between the sediment deposition intensity in each collection area and the surface runoff scouring force, the groundwater level fluctuation amplitude and the rock-soil permeability is analyzed in combination with the influence of sediment on the direction and size of water flow, and the sediment deposition cause set leading to continuous sediment deposition is determined; based on the sediment deposition cause set, in combination with the sand source migration trajectory set, the water transport path set and the slope stability evolution set, the phenomena of slope stability decline and vegetation degradation caused by sediment deposition are analyzed, and the benefit-constraint correlation feature information set is obtained.

[0064] The constraint feature set can be a set of parameters derived from mountain response analysis reflecting the limitations of slope safety and ecological geological stability. The sediment accumulation phenomenon can be a natural phenomenon of sediment accumulation in a specific area causing water flow obstruction or geological structure change. The benefit decay can be the process of expected ecological or economic benefits gradually weakening over time after the implementation of mountain-water engineering. The high-risk area of sediment accumulation can be an area prone to sediment accumulation identified based on spatial distribution and hydrogeological characteristics. The hydrogeological unit can be a geographical area with similar hydrological and geological characteristics. The main sediment collection area can be a hotspot area where sediment deposition occurs in the sediment transport process. The main sediment transport path can be the transport channel of sediment from the source area to the sink area. The influence of sediment on the direction and size of water flow can be the effect of sediment accumulation changing the direction or flow of water flow, such as river channel diversion or flood intensification. The sediment accumulation intensity can be the thickness or volume of sediment accumulation per unit time. The surface runoff erosion force can be the erosion ability of surface water flow to soil or sediment, affected by slope, rainfall intensity and vegetation coverage. The groundwater level fluctuation amplitude can be the range of groundwater level change over time. The rock-soil permeability can be the ability of rock-soil medium to allow water flow. The sediment accumulation cause set can be a set of factors that cause continuous sediment accumulation. The sand source migration trajectory set can be a set of sand source migration trajectories from generation to transport. The water transport path set can be a set of dynamic water transport paths from the source area to the sink area. The slope stability evolution set can be a set of trends of slope stability change over time. The slope stability decline can be the phenomenon of increased instability risk due to the weakening of slope anti-sliding ability. Vegetation degradation can be the reduction of vegetation coverage or the deterioration of health status, affecting soil and water conservation.

[0065] Specifically, sediment deposition is the core source of the attenuation of mountain-water engineering benefits and ecological risks. The existing methods only observe the surface and do not dig deep into the correlation with hydrogeology and the causal chain of sand source and water data, which is easy to cause the wrong target of regulation, the failure to treat the root cause, the deviation of early warning from reality, and the correlation of benefit and restriction. The characteristics of the information set are supported by the previous data and enable subsequent deduction to analyze the spatial distribution, causes and correlations of deposition, provide accurate problem diagnosis, and are the core prerequisite for ensuring accurate analysis and early warning and targeted regulation strategies, which are indispensable. This step solves the above problems by the following methods: According to the restriction characteristic set, the vector boundary of the high-risk area of sediment deposition (such as the area with high probability of deposition around the outlet of the valley of the project, the tail of the reservoir, etc.) is matched with the distribution map of the hydrogeological unit (such as the area with unified hydrogeological conditions, such as the area with porous water-bearing layer, the area with fissured rock outcrop, etc.) by using the GIS spatial overlay analysis technology. The main sediment collection area (such as a flat area with an area of about 6000 square meters at the outlet of a valley) and the main sediment transport path (such as a narrow channel with a width of about 7 meters extending along the gully from the slope of the mountain) are identified by spatial intersection analysis. Then, based on the above main sediment collection area and transport path, combined with the relevant information in the set of water-soil interaction relationships (including the influence of sediment on water flow direction and size, such as the deflection of water flow direction by 18° and the reduction of flow rate to 0.15 m / s caused by sediment), the method of "field monitoring + indoor simulation" is used to lay out a surface runoff observation instrument in the main collection area (monitoring the surface runoff scouring force, such as the scouring force of 24 N / m 2), a groundwater level monitoring well (recording data once per hour, and measuring a monthly fluctuation range of 1.0 m), and a rock-soil permeability test hole (measuring a permeability coefficient of 1.8 x 10-5 cm / s in a certain area through pumping test), data are obtained through monitoring for 1-3 months, and combined with indoor soil column simulation test (simulating water flow movement under different silt deposition thicknesses), the interaction between silt deposition intensity (such as monthly deposition thickness of 4.5 cm) in each collection area and surface runoff scouring force, groundwater level fluctuation range and rock-soil permeability is analyzed, and the silt deposition cause set (such as insufficient scouring force, too high groundwater level leading to rock-soil saturation, etc.) is determined through data correlation analysis (such as calculating the negative correlation coefficient of deposition intensity and scouring force); finally, based on the silt deposition cause set, combined with the sand source migration trajectory set (including the trajectory of a sand source migrating from the upper part of the mountain to the collection area), the water migration path set (including the migration path of water from the source area to the collection area), and the slope stability evolution set (including the evolution of the safety factor of a slope from 1.3 to 1.1), the cause and effect chain analysis method (combing the logical relationship of "silt deposition → groundwater level rise → slope stability decline → vegetation degradation") is used to analyze the phenomenon of slope stability decline (such as the safety factor of a certain collection area surrounding slope from 1.2 to 1.08) and vegetation degradation (such as the surrounding vegetation coverage from 58% to 38%) caused by silt deposition, and finally a benefit-restriction correlation characteristic information set is generated, which comprehensively reflects the correlation between silt deposition and benefit decline, ecological restoration risk.

[0066] In the manner provided by the embodiment, the root cause of silt deposition is analyzed, the causes of benefit decline and ecological restoration risk are quantified, and the accuracy and foresight of mountain-water engineering management are improved; through multi-dimensional data coupling, the mechanism tracing ability from macro to micro is enhanced, the benefit-restriction correlation characteristic information set generated is more causally related, providing a reliable data basis for subsequent regulation strategy making, and promoting the sustainability and ecological safety of engineering benefits.

[0067] In some embodiments, based on the benefit-constraint association feature information set, the water-sediment transport process and the slope stability evolution trend of the main sediment collection area under different hydro-meteorological conditions are simulated to obtain a benefit decay path set; based on the benefit decay path set, combined with the sediment deposition cause set, the formation mechanism of the sediment accumulation area and the slope instability section in the benefit decay path is reversely analyzed; based on the formation mechanism, the cascade feedback information of the multi-level deposition-seepage-stress chain is analyzed to generate a targeted control measure library including engineering diversion, ecological restoration and management control; based on the targeted control measure library, the water-sediment transport process and the mountain stability response under different combinations of control measures are simulated to evaluate the effect of each measure combination on inhibiting sediment deposition, improving water conservation capacity and enhancing slope stability, and a multi-scenario regulation effect set is generated; based on the multi-scenario regulation effect set, a benefit-risk trade-off analysis is performed to select the optimal control measure combination with the goal of engineering benefit sustainability and ecological risk minimization, generate an engineering benefit health diagnosis control strategy, and output an engineering benefit optimization management decision report.

[0068] The slope instability section can be a section where the slope stability decreases significantly and has a risk of instability in the benefit attenuation path. The formation mechanism can be the cause and action logic of the formation of the sediment accumulation area and the slope instability section. The multi-stage blocking-seepage-stress chain can be a chain feedback relationship formed between sediment accumulation, seepage change, and rock-soil stress in the engineering area. The cascading feedback information can be dynamic information of mutual influence in the multi-stage blocking-seepage-stress chain. The targeted regulation measure library can be a collection of various regulation means designed for engineering benefit attenuation and ecological restoration risk. The regulation measure combination can be a scheme formed by selecting and matching measures from the targeted regulation measure library. The mountain stability response can be the change of the stability state of the mountain (including the slope) after the implementation of the regulation measure combination. The regulation effect evaluation can be a quantitative and qualitative analysis of the effect of the regulation measure combination in inhibiting sediment accumulation, improving water conservation capacity, and enhancing slope stability. The multi-scenario regulation effect set can be a collection of information such as regulation effect, implementation cost, and ecological risk corresponding to different regulation measure combinations. The benefit-risk trade-off analysis can be a comprehensive consideration of the engineering benefits (such as water and soil conservation and water conservation benefits) and ecological risks (such as vegetation damage and hydrological change risks) of the regulation measure combination. The engineering benefit sustainability can be the characteristic of the project to continuously produce expected benefits in the long-term operation. The ecological risk minimization can be the goal of controlling the damage risk of the engineering area ecosystem to the lowest level after the implementation of the regulation measures. The optimal regulation measure combination can be the regulation measure combination that meets the engineering benefit sustainability and minimizes the ecological risk in the benefit-risk trade-off analysis. The engineering benefit health diagnosis and regulation strategy can be a specific scheme based on the optimal regulation measure combination, used to diagnose the health status of the engineering benefit and guide the implementation of the regulation. The engineering benefit optimization management decision report can be a report integrating information such as the engineering benefit health diagnosis and regulation strategy, implementation steps, expected effect, cost budget, and responsibility division, providing decision basis for engineering management.

[0069] Specifically, the core value of a landscape project (such as a soil and water conservation project or a slope management project) lies in its long-term ecological restoration and benefit improvement. However, in actual operation, the project benefits are easily affected by dynamic changes in environmental factors (such as hydrological and meteorological fluctuations) and internal risks (such as sediment deposition and slope instability), and may gradually turn from "effective" to "inefficient or even ineffective" if there is a lack of scientific future scenario deduction and targeted regulation strategies. It may also cause secondary ecological problems (such as slope landslide damage to surrounding vegetation and sediment deposition blocking river channels affecting hydrological circulation). This step solves the above problems through the following methods: through hydrodynamic simulation means to analyze the sediment transport trajectory under different rainfall intensities (such as 50 mm / h) and runoff conditions, and using geomechanics analysis method to evaluate the slope stability trend, identify the benefit decay high-risk area (such as 3 places); based on the sediment deposition cause set, through reverse analysis means to clarify the formation mechanism of sediment accumulation area (such as 5 places) and slope instability section (such as 2 places); combined with the cascade feedback information of multi-level sedimentation-seepage-stress chain, using engineering structure optimization algorithm and ecological adaptability evaluation method, generate a targeted regulation measure library including sediment retention dam layout, vegetation restoration and drainage system optimization; using multi-objective system simulation model, simulate the water and sediment transport process and mountain stability response under different measure combinations (such as 4 schemes), evaluate the effect of each scheme on inhibiting sediment deposition (such as reducing the accumulation amount by 0.5 tons / year), improving water conservation capacity (such as increasing the conservation amount by 100,000 cubic meters), and enhancing slope stability (such as increasing the safety factor by 0.3); finally, through benefit-risk trade-off analysis algorithm, taking sustainability and risk minimization as the goal, the optimal regulation measure combination is selected, and the engineering benefit health diagnosis regulation strategy and optimization management decision report are generated. This embodiment realizes the early warning and precise regulation of the benefit decay risk of the landscape project through multi-method coupling simulation and multi-objective optimization, and improves the sustainability and scientific management level of ecological restoration projects.

[0070] By the way provided by the embodiment, the prospective hydro-meteorological scenario simulation and benefit decay path analysis can identify potential risks of the project in advance, change the regulation from "after-the-fact remedy" to "pre-emptive prevention", avoid large-scale benefit loss and high repair cost caused by risk accumulation, accurately analyze the formation mechanism of the sediment accumulation area and the slope instability section, ensure that the regulation measures directly hit the problem source, avoid resource waste and repeated effects caused by "blind measures", improve the input-output ratio of the regulation, analyze the cascading feedback information of the multi-level siltation-seepage-stress chain, make the regulation measures cover the key links of the risk chain, realize the overall prevention and control of ecological restoration risks, avoid secondary problems caused by "trade-off", select the optimal scheme with "high benefit, low risk and reasonable cost" through multi-measure combination simulation and benefit-risk trade-off analysis, balance the sustainability of project benefit and ecological protection demand, avoid ecological damage caused by single project measure, and avoid insufficient benefit caused by single ecological measure, and finally output the project benefit optimization management decision report, which integrates the implementation details, responsibility division, cost budget and expected effect of the regulation strategy, provides clear and practical action guidance for the project management personnel, improves the long-term management efficiency and quality of the landscape project, and guarantees the continuous ecological restoration and benefit improvement value of the project.

[0071] Figure 3 The structural schematic diagram of the landscape project implementation benefit analysis and early warning system provided by an embodiment of the application is shown in Figure 3 The landscape project implementation benefit analysis and early warning system 300 of the embodiment includes a feature extraction module 301, a benefit constraint module 302 and a benefit deduction module 303.

[0072] The feature extraction module 301 is configured to obtain a sky-ground multi-source monitoring data set, analyze the change trajectory of the benefit key indicators in the multi-dimensional field before and after the implementation of the project based on the sky-ground multi-source monitoring data set, and obtain a set of project multi-dimensional benefit characteristic parameters.

[0073] The benefit constraint module 302 is configured to obtain a set of benefit-constraint correlation characteristic information by coupling the synergistic and antagonistic relationship between the key indicators of sand-water-mountain based on the set of project multi-dimensional benefit characteristic parameters.

[0074] The benefit deduction module 303 is configured to deduce future scenarios based on the set of benefit-constraint correlation characteristic information, generate a project benefit health diagnosis and regulation strategy, and output a project benefit optimization management decision report, with the goal of inhibiting benefit decay and ecological restoration risks.

[0075] Optionally, when the feature extraction module 301 analyzes the change trajectory of the benefit key indicators in the multi-dimensional field before and after the implementation of the project based on the sky-ground multi-source monitoring data set, and obtains a set of project multi-dimensional benefit characteristic parameters, the feature extraction module 301 is specifically configured to:

[0076] The space-ground monitoring data set includes space-based remote sensing monitoring data, air-based remote sensing monitoring data, and ground sensor network data; based on the space-based remote sensing monitoring data, surface cover change and ecological pattern evolution in the engineering construction area are analyzed to identify abnormal fluctuation regions of key benefit indicators, and a macroscopic abnormal region data set is obtained; based on the macroscopic abnormal region data set, targeted analysis is performed to analyze the fine trajectory of water and soil conservation conditions, soil erosion conditions, and slope topographic changes in the macroscopic abnormal region data set, and an air-based diagnostic index set is generated; based on the air-based diagnostic index set, combined with the ground sensor network data, on-site precise measurement of surface processes and ecological parameters is performed, the internal mechanism of sediment source characteristics, water migration information, and slope stability in the air-based diagnostic index set is analyzed, and a ground verification parameter set is generated; based on the ground verification parameter set, the space-based remote sensing monitoring data is fed back in a closed loop, the complete benefit evidence chain from macroscopic phenomena to microscopic mechanisms of sand-water-mountain three spatial dimensions is traced in reverse, and the engineering multi-dimensional benefit feature parameter set with causal correlation is generated.

[0077] Optionally, when the feature extraction module 301 is used to generate the engineering multi-dimensional benefit feature parameter set with causal correlation based on the ground verification parameter set, the closed loop feedback to the space-based remote sensing monitoring data, and the complete benefit evidence chain from macroscopic phenomena to microscopic mechanisms of sand-water-mountain three spatial dimensions is traced in reverse, the feature extraction module 301 is specifically used for:

[0078] Based on the sediment source characteristics, combined with the soil erosion conditions, the migration trajectory of key sand sources and the deposition hot spot region in the sand production and transport process are analyzed to generate a sand source migration trajectory set; based on the water migration information, combined with the water and soil conservation conditions, the dynamic path of water from the source area to the sink area and the water balance change process are analyzed to generate a water migration path set; based on the fine trajectory of the slope topographic change, combined with the internal mechanism of the slope stability, the driving mechanism of the slope stability from local damage to macroscopic evolution is analyzed to generate a slope stability evolution set; the sand source migration trajectory set, the water migration path set, and the slope stability evolution set are integrated to construct a causal correlation network with sand-water-mountain synergistic effect as the core, and the engineering multi-dimensional benefit feature parameter set is generated.

[0079] Optionally, when the feature extraction module 301 is used to obtain the benefit-restriction correlation feature information set by coupling the synergistic and antagonistic relationship between key indicators based on the engineering multi-dimensional benefit feature parameter set, the feature extraction module 301 is specifically used for:

[0080] Based on the sand source migration track set, the evolution characteristics of the sand source, flux and accumulation form after the implementation of the project are analyzed to generate a set of sand constraint factors; based on the set of sand constraint factors, the coupling relationship between the sand change and the surface runoff, groundwater level and water source conservation capacity is analyzed to generate a set of water-soil interaction relationship; based on the set of water-soil interaction relationship, the influence characteristics of the water-sand change process on the mountain stability, slope safety and ecological geological environment are analyzed to determine a set of constraint characteristics of the mountain response; based on the set of constraint characteristics, the benefit attenuation and ecological restoration risk causes caused by the sand silt phenomenon are determined to generate the set of benefit-constraint correlation characteristic information.

[0081] Optionally, when the benefit constraint module 302 analyzes the coupling relationship between the sand change and the surface runoff, groundwater level and water source conservation capacity to generate a set of water-soil interaction relationship, it is specifically used for:

[0082] Based on the set of sand constraint factors, the dynamic response relationship between the surface water dynamic condition in the project area and the sand transport and accumulation process is analyzed to obtain a set of surface runoff-sand transport correlation; based on the set of surface runoff-sand transport correlation, in combination with the ground sensing network data, the sand potential stratum migration path that has an influence on the soil moisture content and potential erosion in the groundwater level fluctuation process is analyzed to obtain a set of groundwater-sand potential erosion correlation; based on the set of groundwater-sand potential erosion correlation, the influence of the project implementation on the water source conservation capacity of the region is analyzed to obtain water conservation capacity change information; based on the water conservation capacity change information, the feedback mechanism of the water conservation capacity change on the surface-underground hydrological process and sand activity is analyzed to obtain the set of water-soil interaction relationship that comprehensively represents the influence of the sand on the flow direction and size of the water.

[0083] Optionally, when the benefit constraint module 302 analyzes the influence characteristics of the water-sand change process on the mountain stability, slope safety and ecological geological environment based on the set of water-soil interaction relationship to determine a set of constraint characteristics of the mountain response, it is specifically used for:

[0084] Based on the set of water-soil interaction relationship, the stress state change of the slope rock-soil body under the joint action of surface runoff erosion and groundwater potential erosion is analyzed to identify a plurality of slope instability high-risk areas to obtain the slope instability high-risk area; based on the slope instability high-risk area, in combination with the set of project multi-dimensional benefit characteristic parameters, the dynamic erosion resistance of the mountain surface layer under the coupling action of the vegetation root soil fixation capacity and the rock-soil mechanics properties of each slope instability high-risk area is analyzed to obtain an ecological geological environment vulnerability evolution set; based on the ecological geological environment vulnerability evolution set, the chain effect path from the water-sand migration to the rock-soil response to the ecological function degradation of each slope instability high-risk area is penetrated to determine a set of constraint characteristics of the mountain response with the slope safety and ecological geological stability as the core.

[0085] Optionally, the benefit constraint module 302, in the process of determining the constraint feature set of mountain response with slope safety and ecological geological stability as the core based on the ecological geological environment vulnerability evolution set and the cascading effect path from water and sediment transport to rock-soil response to ecological function degradation through each high-risk area of slope instability, is specifically used for:

[0086] Based on the constraint feature set, the spatial coupling relationship between each high-risk area of slope instability and the ecologically vulnerable area is analyzed to identify the engineering benefit synergistic decay area, and a benefit decay spatial distribution set is obtained. Based on the benefit decay spatial distribution set and combined with the water-soil interaction relationship set, the dominant driving factors of benefit decay in each section of the benefit decay spatial distribution set are analyzed. Based on a number of dominant driving factors, the engineering multi-dimensional benefit feature parameter set is associated, and the cascading reaction process of sediment source expansion, water transport path change and mountain stability decline under the action of each dominant driving factor is analyzed to obtain the benefit-constraint correlation feature information set from phenomenon to mechanism.

[0087] Optionally, the benefit constraint module 302, in the process of determining the benefit decay and ecological restoration risk causes caused by the phenomenon of sediment deposition based on the constraint feature set, and generating the benefit-constraint correlation feature information set, is specifically used for:

[0088] Based on the constraint feature set, the spatial distribution of a number of high-risk areas of sediment deposition and the corresponding relationship with the hydrogeological unit are analyzed to identify the main sediment collection area and the main sediment transport path. Based on the main sediment collection area and the main sediment transport path, combined with the influence of sediment on the direction and size of water flow, the interaction between sediment deposition intensity in each collection area and surface runoff scouring force, groundwater level fluctuation amplitude and rock-soil permeability is analyzed to determine the sediment deposition cause set that leads to continuous sediment deposition. Based on the sediment deposition cause set, combined with the sand source migration trajectory set, the water transport path set and the slope stability evolution set, the phenomena of slope stability decline and vegetation degradation caused by sediment deposition are analyzed to obtain the benefit-constraint correlation feature information set.

[0089] Optionally, the benefit deduction module 303, in the process of deducing future scenarios to suppress the occurrence of benefit decay and ecological restoration risk based on the benefit-constraint correlation feature information set, generating an engineering benefit health diagnosis control strategy, and outputting an engineering benefit optimization management decision report, is specifically used for:

[0090] Based on the benefit-constraint correlation feature information set, the water and sediment transport process and the slope stability evolution trend of the main sediment collection area under different hydro-meteorological conditions are simulated to obtain a benefit decay path set; based on the benefit decay path set, the formation mechanism of the sediment accumulation area and the slope instability section in the benefit decay path is analyzed in reverse combined with the sediment accumulation cause set; based on the formation mechanism, the cascade feedback information of the multi-level siltation-seepage-stress chain is analyzed to generate a targeted control measure library including engineering diversion, ecological restoration and management control; based on the targeted control measure library, the water and sediment transport process and the mountain stability response under different combinations of control measures are simulated to evaluate the effect of each measure combination on inhibiting sediment accumulation, improving water conservation capacity and enhancing slope stability, and a multi-scenario regulation effect set is generated; based on the multi-scenario regulation effect set, a benefit-risk trade-off analysis is performed to select the optimal control measure combination with the goal of sustainable engineering benefit and minimum ecological risk, and generate the engineering benefit health diagnosis regulation strategy and output the engineering benefit optimization management decision report.

[0091] The system of the embodiment can be used to execute the method of any of the above embodiments, and has similar implementation principles and technical effects, which will not be described here again.

Claims

1. A landscape engineering implementation benefit analysis early warning method, characterized in that, The method comprises the following steps: acquiring a space-air-ground multi-source monitoring data set, analyzing the change trajectory of key benefit indicators in multiple dimensions before and after the implementation of the project based on the space-air-ground multi-source monitoring data set, and obtaining a set of project multi-dimensional benefit characteristic parameters, including: The space-air-ground multi-source monitoring data set includes space-based remote sensing monitoring data, air-based remote sensing monitoring data and ground sensor network data; Based on the space-based remote sensing monitoring data, analyze the surface coverage change and ecological pattern evolution in the project construction area, identify the abnormal fluctuation area of the key benefit indicators, and obtain a set of macro-exceptional area data; Based on the set of macro-exceptional area data, targeted analysis is performed to analyze the fine trajectory of water and soil conservation status, soil erosion and slope topographic change in the set of macro-exceptional area data, and an air-based diagnostic index set is generated; Based on the air-based diagnostic index set, combined with the ground sensor network data, the on-site precise measurement of surface process and ecological parameters is carried out, the internal mechanism of sediment source characteristics, water migration information and slope stability in the air-based diagnostic index set is analyzed, and a ground verification parameter set is generated; Based on the ground verification parameter set, the space-based remote sensing monitoring data is fed back in a closed loop, the complete benefit evidence chain from macro-phenomenon to micro-mechanism of sand-water-mountain three spatial dimensions is traced in reverse, and the set of project multi-dimensional benefit characteristic parameters with causal correlation is generated, including: Based on the sediment source characteristics, combined with the soil erosion condition, the key sand source migration trajectory and deposition hot spot area in the sand production and transport process are analyzed, and a sand source migration trajectory set is generated; Based on the water migration information, combined with the water and soil conservation status, the dynamic path of water from the source area to the sink area and the water balance change process are analyzed, and a water migration path set is generated; Based on the fine trajectory of the slope topographic change, combined with the internal mechanism of the slope stability, the driving mechanism of the slope stability from local damage to macro-evolution is analyzed, and a slope stability evolution set is generated; Integrate the sand source migration trajectory set, the water migration path set and the slope stability evolution set, build a causal correlation network with sand-water-mountain synergistic effect as the core, and generate the set of project multi-dimensional benefit characteristic parameters; Based on the set of project multi-dimensional benefit characteristic parameters, the synergistic and antagonistic relationships between key indicators are analyzed by coupling sand-water-mountain, and a set of benefit-constraint correlation characteristic information is obtained; Based on the set of benefit-constraint correlation characteristic information, the future scenario is deduced, the goal of inhibiting benefit attenuation and ecological restoration risk is achieved, a project benefit health diagnosis regulation strategy is generated, and a project benefit optimization management decision report is output.

2. The method of claim 1, wherein, Based on the set of project multi-dimensional benefit characteristic parameters, the synergistic and antagonistic relationships between key indicators are analyzed by coupling sand-water-mountain, and a set of benefit-constraint correlation characteristic information is obtained, including: Based on the sand source migration trajectory set, the evolution characteristics of sand source, flux and accumulation form after the implementation of the project are analyzed, and a set of sand constraint factors is generated; Based on the set of sand constraint factors, the coupling relationship between sand change and surface runoff, groundwater level and water conservation capacity is analyzed, and a set of water-soil interaction relationship is generated; determine a constraint feature set of mountain response based on the influence characteristics of the water and sediment change process on mountain stability, slope safety and ecological geological environment; based on the constraint feature set, determine the causes of benefit attenuation and ecological restoration risks caused by sediment deposition, and generate the benefit-constraint correlation feature information set.

3. The method of claim 2, wherein, The coupling relationship between the analysis of sediment change and surface runoff, groundwater level and water conservation capacity is generated, including: Based on the set of sediment constraint factors, analyze the dynamic response relationship between the surface water dynamic conditions in the engineering area and the sediment transport and accumulation process, and obtain the surface runoff-sediment transport correlation set; Based on the surface runoff-sediment transport correlation set, combined with the ground sensing network data, analyze the sediment potential stratum migration path that has influence on soil moisture content and potential erosion in the groundwater level fluctuation process, and obtain the groundwater-sediment potential erosion correlation set; Based on the groundwater-sediment potential erosion correlation set, analyze the influence of engineering implementation on the water conservation capacity of the region, and obtain the conservation capacity change information; Based on the conservation capacity change information, analyze the feedback mechanism of conservation capacity change on surface and underground hydrological process and sediment activity, and obtain the water-soil interaction relationship set which comprehensively represents the influence of sediment on water flow and size.

4. The method of claim 3, wherein, The coupling relationship between the analysis of sediment change and surface runoff, groundwater level and water conservation capacity is generated, including: Based on the water-soil interaction relationship set, analyze the stress state change of slope rock-soil mass under the combined action of surface runoff erosion and groundwater potential erosion, and identify several high-risk areas of slope instability, to obtain the high-risk area of slope instability; Based on the high-risk area of slope instability, combined with the multi-dimensional benefit feature parameter set of the project, analyze the dynamic of mountain surface erosion resistance under the coupling action of vegetation root soil fixation capacity and rock-soil mechanics properties in each high-risk area of slope instability, to obtain the ecological geological environment vulnerability evolution set; Based on the ecological geological environment vulnerability evolution set, through the chain effect path from water and sediment transport to rock and soil response to ecological function degradation in each high-risk area of slope instability, determine the constraint feature set of mountain response with slope safety and ecological geological stability as the core.

5. The method of claim 4, wherein, The coupling relationship between the analysis of sediment change and surface runoff, groundwater level and water conservation capacity is generated, including: Based on the constraint feature set, analyze the coupling relationship in space between each high-risk area of slope instability and the ecologically vulnerable area, identify the engineering benefit synergistic attenuation area, and obtain the benefit attenuation spatial distribution set; Based on the benefit attenuation spatial distribution set, combined with the water-soil interaction relationship set, analyze the dominant driving factors of benefit attenuation in each section in the benefit attenuation spatial distribution set; Based on a number of said dominant driving factors, the said engineering multi-dimensional benefit characteristic parameter set is associated, the chain reaction process of sediment source expansion, water migration path change and mountain stability decline under the action of each said dominant driving factor is analyzed, and the said benefit-constraint correlation characteristic information set from phenomenon to mechanism is obtained.

6. The method of claim 3, wherein, Based on the said constraint characteristic set, the benefit attenuation and ecological restoration risk causes generated from the root of sediment deposition phenomenon are determined, and the said benefit-constraint correlation characteristic information set is generated, including: Based on the said constraint characteristic set, the spatial distribution of a number of sediment deposition high-risk areas and the corresponding relationship with hydrogeological units are analyzed, and the main sediment collection area and the main sediment transport path are identified; Based on the said main sediment collection area, the said main sediment transport path, and the influence of the said sediment on the flow direction and size of water, the interaction between sediment deposition intensity in each collection area and surface runoff scouring force, groundwater level fluctuation amplitude and rock-soil permeability is analyzed, and the sediment deposition cause set leading to continuous sediment deposition is determined; Based on the said sediment deposition cause set, combined with the said sediment source migration trajectory set, the said water migration path set and the said slope stability evolution set, the phenomenon of slope stability decline and vegetation degradation caused by sediment deposition is analyzed, and the said benefit-constraint correlation characteristic information set is obtained.

7. The method of claim 6, wherein, Based on the said benefit-constraint correlation characteristic information set, the future scenario is deduced, the goal of inhibiting benefit attenuation and ecological restoration risk is achieved, the engineering benefit health diagnosis regulation strategy is generated, and the engineering benefit optimization management decision report is output, including: Based on the said benefit-constraint correlation characteristic information set, the water and sediment transport process of the main sediment collection area and the slope stability evolution trend under different hydro-meteorological conditions are simulated, and the benefit attenuation path set is obtained; Based on the said benefit attenuation path set, combined with the said sediment deposition cause set, the formation mechanism of the sediment accumulation area and the slope instability section in the benefit attenuation path is analyzed in reverse; Based on the said formation mechanism, the cascade feedback information of multi-level deposition-seepage-stress chain is analyzed, and the targeted regulation measure library including engineering blocking and guiding, ecological restoration and management regulation is generated; Based on the said targeted regulation measure library, the water and sediment transport process and mountain stability response under different regulation measure combinations are simulated, the effect of each measure combination on inhibiting sediment deposition, improving water conservation capacity and enhancing slope stability is evaluated, and the multi-scenario regulation effect set is generated; Based on the said multi-scenario regulation effect set, the benefit-risk trade-off analysis is carried out, the optimal regulation measure combination is selected with the goal of engineering benefit sustainability and ecological risk minimization, the said engineering benefit health diagnosis regulation strategy is generated, and the said engineering benefit optimization management decision report is output.

8. A landscape engineering implementation benefit analysis early warning system, characterized in that, Applied to the method of any one of claims 1-7, including: A feature extraction module is configured to obtain a sky-ground multi-source monitoring data set, analyze the change trajectory of benefit key indicators in multiple fields before and after engineering implementation based on the said sky-ground multi-source monitoring data set, and obtain an engineering multi-dimensional benefit characteristic parameter set. An efficiency constraint module is configured to obtain an efficiency-constraint correlation characteristic information set by coupling synergistic and antagonistic relationships among the sand-water-mountain analysis key indicators based on the engineering multi-dimensional efficiency characteristic parameter set; An efficiency deduction module is configured to deduce a future scenario based on the efficiency-constraint correlation characteristic information set, generate an engineering efficiency health diagnosis regulation strategy, and output an engineering efficiency optimization management decision report, with the goal of inhibiting efficiency attenuation and ecological restoration risk.

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