130 results about "Tidal flat" patented technology

The invention discloses a vegetation-submerged embankment coupled tough coast protection method and system and a storage medium, and the method comprises the steps: firstly, determining a research region, and systematically collecting the near-shore terrain, water and sand power conditions, vegetation parameters and other data; secondly, constructing a water-sand-vegetation coupling numerical simulation model based on the collected data, and performing precision verification on the model; then selecting a suitable vegetation type in combination with environmental characteristics of the research area, carrying out artificial seeding and planting work in a vegetation potential habitat of the tidal flat, and determining a design elevation and an offshore distance of the submerged dike; and finally, evaluating the coast protection effect under the synergistic effect of the submerged embankment and the vegetation, and quantitatively analyzing the improvement degree of the coast protection effect on wave attenuation and beach stability. A sustainable tough coast protection system can be formed under the climate change background through a collaborative protection mechanism integrating natural vegetation and an artificial submerged embankment. The method has the advantages of low cost, remarkable wave reduction effect and the like, and the capability of coping with climate change challenges and comprehensive protection of coastal zones can be effectively improved.

The invention provides a tidal flat evolution prediction method and system based on a hybrid model, and relates to the field of dynamic geomorphology and artificial intelligence cross technology, and the method comprises the steps: constructing a tidal flat erosion and deposition evolution database under different scenes of a target coastal zone; constructing a landform prediction model through an artificial intelligence algorithm based on the database, and taking hydrodynamic characteristic data as input and seabed erosion and deposition variation as output; hybrid simulation is executed based on the physical mechanism model and the landform prediction model, and long-duration evolution prediction is realized by updating terrain boundary conditions through loop iteration; and the configuration service application module is used for receiving user input parameters through the interactive interface and outputting a visual result. According to the method, traditional hydrodynamic force-sediment-landform coupling calculation is decoupled into a physical mechanism and AI coordinated chain process, the calculation complexity is remarkably reduced, offline rapid calculation business of tidal flat evolution is achieved, and real-time technical support is provided for coastal zone planning and disaster prevention decision making.

The invention discloses a tidal flat automatic extraction method fused with an irregular hexagonal grid. The method comprises the following steps: step 1, constructing a time sequence remote sensing data set; step 2, establishing a precision verification sample library; step 3, screening spectral indexes; 4, synthesizing an extreme tide level image; 5, generating an irregular hexagonal grid; step 6, carrying out adaptive threshold segmentation; step 7, secondary elimination of confused ground features; step 8, tidal flat range extraction and precision verification; according to the method, based on a time sequence remote sensing image set, pixels at all positions are screened through a specific spectral index maximum value, a new extreme tide level image is formed through combination, spatial heterogeneity of a complex coastal zone is adapted through an irregular hexagonal grid and a bottom-to-top hierarchical merging strategy, local self-adaptive threshold segmentation is achieved in cooperation with a local Otsu algorithm, and a new extreme tide level image is obtained. The optimal grid scale is automatically determined by means of an elbow method, and the confused ground features are secondarily eliminated through the time sequence standard deviation, so that the problem of miscarriage of the confused ground features is effectively solved, and high-precision full-automatic extraction of the tidal flat is realized.

The invention discloses a coastal tidal flat elevation measurement method based on an orthographic reconstruction technology, and the method comprises the following steps: laying image control points in a target monitoring area of a muddy tidal flat, and then measuring the elevation information of each image control point; an unmanned aerial vehicle is adopted to collect aerial photos of the area according to the planned flight route; an RTK base station is erected in the area to collect static POS data; obtaining static POS data and airborne POS data to calculate flight POS data; flight POS data and aerial photos are obtained, modeling is carried out in combination with elevation information of an image control point, and point cloud data and an orthoimage of the area are generated; and identifying a ponding area from the orthoimage, removing the ponding area from the point cloud data, and establishing a digital elevation model of the area to obtain tidal flat elevation information of the area. Therefore, the problem that large-range tidal flat elevation measurement cannot be carried out due to the limitation of the tidal falling time of the muddy tidal flat in the traditional artificial beach running is solved.

The invention discloses a tidal wetland space-time evolution monitoring method based on Landsat, and the method comprises the following steps: S1, obtaining multi-temporal Landsat remote sensing image data of a target region, and carrying out the consistency preprocessing; s2, on the basis of the preprocessed multi-temporal Landsat remote sensing image data, constructing a spectral index time sequence including NDWI, NDVI, PSRI and NIRv; s3, generating a key period image based on the spectral index time sequence; s4, performing initial classification of tidal flat and wetland vegetation based on the image in the key period to obtain an initial classification map year by year; s5, based on the spectral index time sequence, performing segmentation by using a LandTrendr algorithm, and performing time sequence consistency optimization on the initial classification graph according to an obtained segmentation result to obtain an optimized classification result; and S6, performing post-processing on the optimization classification result to generate a tidal wetland year-by-year dynamic classification data set. According to the method, the high-quality data set capable of accurately reflecting year-by-year dynamic evolution of the tidal wetland can be generated.

The invention provides a mud flat spraying system, which belongs to the technical field of spraying systems and comprises a water storage tank, a desalination container, a desalination channel, a water pumping pipe and a water pump. The desalination container has a desalination chamber. One end of the desalination channel is communicated with the water storage tank, and the other end is communicated with the top of the desalination cavity. The first end of the water pumping pipe is fixedly connected with the water storage tank and communicates with the bottom in the water storage tank. The water suction pump is arranged on the water suction pipe. According to the mud flat spraying system provided by the invention, seawater is injected into the desalination cavity nearby, steam formed during evaporation of the seawater enters the water storage tank through the desalination channel and is condensed to form fresh water to be stored in the water storage tank, and the water suction pump can pump water in the water storage tank through the water suction pipe to irrigate plants such as suaeda heteroptera. Therefore, the amount of fresh water conveyed to an engineering site is reduced, and the problem that a large amount of fresh water needs to be conveyed to the engineering site in coastal mud flat ecological restoration engineering is avoided.

The invention discloses a near-coastal zone geological survey data management system and method, and relates to the technical field of coastline monitoring, and the method comprises the following steps: collecting a remote sensing image of a near-coastal zone, and carrying out the preprocessing of the remote sensing image, and obtaining a first coastal remote sensing image; extracting a remote sensing image of the land and water contact area based on the first coastline remote sensing image to obtain a second coastline remote sensing image, and performing first coastline extraction processing to obtain first coastline information; performing second coastline extraction processing based on the second coastline remote sensing image to obtain second coastline information; performing coastline correction processing based on the first coastline information and the second coastline information to obtain real-time coastline information; the method is used for solving the problem that when a water body and land in an image are distinguished based on a remote sensing image and a spectral index in an existing coastline monitoring technology, seawater and a tidal flat cannot be accurately distinguished in the tide rising and falling process, and the coastline cannot be accurately identified.

The invention discloses a mudflat photovoltaic pile foundation distributed settlement intelligent sensing and data acquisition system, and belongs to the technical field of intelligent sensing systems.The system comprises a datum plane setting module which is used for setting a main datum plane and a plurality of sub datum planes according to spatial distribution of a mudflat photovoltaic pile foundation; the region division module is used for dividing the plurality of beach photovoltaic pile foundations into a plurality of sub-regions in a set space range, and calculating the average main reference surface elevation of each sub-region; the processing module is used for identifying whether the mud flat photovoltaic pile foundation is settled or not according to the single mud flat photovoltaic pile foundation in each sub-region; the analysis and comparison module is used for comparing a difference value with a preset deformation threshold value after the settlement of the tidal flat photovoltaic pile foundation is identified; and the intelligent acquisition and positioning module automatically triggers a preset data acquisition process when the difference value exceeds a preset deformation threshold value. According to the method, the sub datum planes are arranged in the height direction of the pile body, so that the comprehensiveness and spatial resolution of deformation monitoring are improved.

The invention relates to the technical field of computer-aided engineering, in particular to a multi-scale numerical value-based beach vegetation beach fixing and wave dissipating effect simulation system, which comprises the following steps of: acquiring terrain basic data, boundary condition data, vegetation physical parameters and vegetation ecological parameters; establishing a numerical calculation grid and a terrain by using terrain basic data, and updating a landform elevation and a hydrodynamic condition based on a wave flow sediment coupling mechanism by using boundary condition data as a driving condition; according to a vegetation mechanical model, vegetation flexible deformation is calculated in combination with hydrodynamic conditions and vegetation physical parameters, and hydraulic drag force parameters are updated based on the vegetation flexible deformation; according to the habitat suitability model, evaluating the probabilistic trend of vegetation growth, death and expansion; physical process simulation and landform evolution calculation are combined, and adaptive verification and resetting steps are introduced, so that accelerated simulation of beach fixation and wave dissipation of beach vegetation is realized. According to the invention, through multi-scale simulation, accurate prediction of beach fixing and wave dissipation is realized.

The utility model discloses a shovel tooth combined type mud flat shellfish digging device with adjustable spacing, which relates to the technical field of mud flat shellfish digging operation, and comprises a cross beam and a plurality of digging shovels fixedly arranged on the cross beam, comb teeth are uniformly arranged among the digging shovels, the comb teeth are arranged on the cross beam, the spacing of the comb teeth is adjustable, and the shovel tooth combined type mud flat shellfish digging device is arranged on the cross beam. The digging shovel is provided with multiple types of protruding structures, and the comb teeth are designed to be of a gradually-changing-size structure. Due to the design of various protruding structures on the shovel body of the digging shovel, mud flat silt can be better cut during digging, soil entering resistance can be reduced, and soil adhesion is prevented. The comb teeth are of a size gradual change type structural design, the soil penetrating size is gradually changed during excavation, soil penetrating resistance can be reduced, and the hilling phenomenon is reduced. The digging shovel and the comb teeth are adopted for cooperative operation, the soil breaking capacity of the digging shovel can be kept, the soil penetrating resistance is reduced through the comb teeth, part of soil is screened out in the digging process, and the soil hilling phenomenon is reduced.

The invention provides a large-scale tidal flat range extraction and elevation inversion method and system based on gridding segmentation. The method comprises the following steps: S1, screening and preprocessing remote sensing images in a research area to obtain a remote sensing image set; s2, carrying out water body extraction on the screened remote sensing images based on a K-means + + algorithm to obtain a binary image set; s3, summarizing and calculating binarization results to obtain a pixel-by-pixel submerging frequency result, and extracting a tidal flat range; s4, carrying out the inversion of the tidal flat elevation based on the tidal flat elevation inversion model and the grid segmentation to obtain the tidal level information; and S5, spatial filtering post-processing is carried out on the elevation inversion result, and distortion points are removed. Based on the idea of gridding segmentation, the problem that the precision is limited by the assumption that tidal flats with the same tide submerging frequency have the same elevation only in a limited space range during large-scale tidal flat elevation inversion can be solved, and the precision and the speed are both achieved during tidal flat elevation inversion.

The invention discloses a mudflat stable power generation control system, and belongs to the technical field of power supply, the mudflat stable power generation control system is provided with a voltage stabilization structure and a sand blocking structure, the voltage stabilization structure comprises a transformer, a transformer input coil is connected with a mudflat photovoltaic power generation output end, and a transformer output coil is connected with a municipal power grid. The voltage of an output end is stabilized by controlling the number of working turns of an input coil of the transformer, so that the voltage is more balanced when the input coil is connected into a municipal power grid, and the balance of tidal flat photovoltaic power generation and power supply is improved, the sand blocking structure comprises a blocking groove, the blocking groove is obliquely arranged and fixedly connected between pile bodies, and a partition plate is fixedly connected between the groove walls of the two sides of the blocking groove; and the seawater of the tide enters the blocking groove and is sequentially blocked by the partition plates, and sand grains fall into the bottom of the blocking groove through the filter screen, so that the pile body is prevented from being scoured and accumulated by the seawater, and the stability of the pile body and the photovoltaic module is enhanced.

This invention discloses an in-situ observation method and device for tidal flat sedimentary bedding, belonging to the field of tidal flat geomorphological sedimentary observation technology. The observation method includes: laying settlement plates on the tidal flat surface at the in-situ observation location of tidal flat sedimentary bedding; and laying new settlement plates on the sediment of the previous settlement plate at intervals based on the ebb and flow of the tide. After reaching a preset number of settlement plates, collecting the sediment on each settlement plate during low tide and retrieving the settlement plates; and quantitatively analyzing the bedding data and bedding characteristic indicators of the sediment on each settlement plate. The observation device includes a support frame with a timing control unit. The timing control unit includes a holder and a controller. The holder holds multiple layers of settlement plates, and the holder releases the settlement plates one by one according to the interval and the number of releases. This method can obtain the morphological characteristics of tidal flat sedimentary bedding under tidal conditions, providing strong support for the study of the formation process and carbon sequestration mechanism of tidal flat sedimentary bedding.

The invention relates to the technical field of landform prediction, in particular to a tidal flat evolution prediction method and system based on a landform model. Comprising the following steps: acquiring landform data, environmental parameter data and biological membrane characteristic data of a target tidal flat area; the landform data comprises water depth distribution and sediment porosity; the environmental parameter data comprises tidal flow velocity, fluid shear force, illumination intensity and water body temperature; the biological membrane characteristic data comprises biological membrane thickness obtained by in-situ sampling; constructing a dynamic viscosity coefficient model of the biological membrane based on the thickness of the biological membrane and the temperature of the water body; the dynamic viscosity coefficient model represents a nonlinear enhancement effect of the biological membrane on the viscosity of the sediment; establishing a biofilm growth rate feedback model based on the water depth distribution and the illumination intensity; the feedback model quantifies the coupling relationship between the biofilm growth of the sedimentation area and the microtopographic factor; according to the method, the problem of evolution prediction misalignment under the dynamic interaction of the environmental factors can be solved.

The invention discloses a coastal tidal flat large-range remote sensing automatic extraction method, and belongs to the technical field of remote sensing tidal flat mapping, and the method comprises the steps: calculating a turbid water index pixel by pixel based on a cloud removal time sequence remote sensing image, selecting a comparison wave band according to the turbid water index, and calculating a self-adaptive mixed water index in combination with a green light wave band; for each image determined by the self-adaptive mixed water body index, calculating a value domain histogram of the image, and taking a self-adaptive mixed water body index value corresponding to a derivative mutation point in the value domain histogram as a self-adaptive land and water segmentation threshold value; calculating an improved normalized difference water body index scene by scene, extracting a maximum water surface range based on the improved normalized difference water body index and a self-adaptive water and land segmentation threshold value, extracting a tidal flat exposure frequency image based on each scene image and the self-adaptive water and land segmentation threshold value, and further extracting initial tidal flat spatial distribution; and generating a tidal flat spatial distribution visualization result after connectivity processing. According to the method, rapid, accurate and stable extraction of tidal flat space distribution in a large-range and complex environment can be realized.

The invention discloses a seedling raising and transplanting method for mangrove plant Aegiceras corniculatum based on external application of gibberellin, and belongs to the technical field of saline-alkali plant cultivation and mud flat ecological restoration. The method mainly comprises the four stages of seed disinfection and gibberellin soaking, germination cultivation, seedling cultivation, salinity domestication and mud flat transplanting. After being disinfected, the seeds are soaked in a gibberellin solution with the concentration being 300 mg / L, gibberellin with the same concentration is sprayed regularly during germination, and the germination rate and the germination speed are increased. In the seedling stage, humus soil and mud flat bottom mud mixed matrix is adopted for cultivation, and growth is promoted by spraying 100 mg / L gibberellin to leaf surfaces and injecting 25 mg / L gibberellin to rhizosphere. After seedlings are formed, the seedlings are subjected to step-by-step salinity domestication (5 per thousand to 30 per thousand), gibberellin spraying and rhizosphere injection are carried out at regular intervals, and the stress resistance of the seedlings is enhanced. The method can effectively shorten the seedling raising period of Aegiceras corniculatum, improve the seedling raising efficiency, enhance the adaptive capacity of seedlings to the tidal zone environment, and facilitate rapid recovery of a mangrove forest ecosystem.

This invention belongs to the field of coastal engineering and ecological restoration technology. It discloses a method for optimizing the design of beach ecological restoration trenches based on hydrodynamic simulation. The method includes: collecting beach hydrological datasets, topographic datasets, and ecological datasets, and preprocessing them. The hydrological dataset includes wave data, tidal current data, storm surge data, and sediment transport data. The topographic dataset includes shoreline slope, beach elevation, underwater topography data, and sediment source storage data. The ecological dataset includes tidal flat vegetation distribution, benthic organism density, ecologically sensitive area range, and water environment quality data. This invention, through the coupled processing of hydrological, topographic, and ecological multi-source datasets, obtains hydraulic reference values ​​and topographic adaptation values ​​for the trench, directly reflecting the regional dynamic conditions and the degree of topographic adaptation, significantly reducing the workload of manual calculation and trial and error.

This invention relates to a method for constructing a biodegradable mangrove ecological island based on dynamic tidal energy regulation, and an artificial island siltation device. The artificial island siltation device includes a bamboo gate system, a hemp rope net system, a fixed pile system, and a limiting system. A dynamic filtration structure is formed by the liftable bamboo gate and the hemp rope net. Utilizing the buoyancy difference and water flow velocity changes generated by tidal rise and fall, a synergistic effect is achieved: accelerating the passage of sediment-laden water during high tide and promoting siltation during low tide. A fully biodegradable material is used to construct a growing silt body. The buoyancy balance is regulated by the bamboo joint holes, ensuring the device remains suspended on the surface layer of the silt body. This allows for continuous siltation and elevation of the tidal flat, forming an artificial island that provides a site for mangrove seedling planting and meets the required daily sunrise duration for mangrove growth. The method and device of this invention have technical advantages such as low construction cost, dynamic adaptation to tidal changes, and avoidance of secondary pollution.

The present application relates to the technical field of geomorphology prediction, in particular to a tidal flat evolution prediction method and system based on a geomorphology model. The method comprises the following steps: obtaining geomorphology data, environmental parameter data and biological membrane characteristic data of a target tidal flat area; the geomorphology data comprises water depth distribution and sediment porosity; the environmental parameter data comprises tidal current velocity, fluid shear force, light intensity and water temperature; the biological membrane characteristic data comprises biological membrane thickness obtained by in-situ sampling; a biological membrane dynamic viscosity coefficient model is constructed based on the biological membrane thickness and the water temperature; the dynamic viscosity coefficient model represents a nonlinear enhancement effect of the biological membrane on sediment viscosity; a biological membrane growth rate feedback model is established based on the water depth distribution and the light intensity; the feedback model quantifies the coupling relationship between biological membrane growth in a deposition area and microtopographic factors; the present application can solve the problem of inaccurate evolution prediction under dynamic interaction of environmental factors.

The invention belongs to the technical field of ecological restoration, and particularly relates to a standardized mangrove forest ecological restoration system after a typhoon disaster. According to the method, the disaster degrees of the mangrove forest damaged by the typhoon are divided into severe disasters, moderate disasters and mild disasters on the basis of remote sensing images and field investigation; for severe disasters, lodging forest classification cleaning operation and landform restoration are implemented, big seedlings are selected for field planting in combination with tidal flat elevation, and reconstruction of a standardized mangrove forest ecological system is formed; in allusion to moderate disasters, pruning and complementary planting operation based on forest gaps are carried out, and the recovery efficiency of the primary forest stand is improved; for mild disasters, the forest stand canopy density is dynamically monitored by adopting an unmanned aerial vehicle, and corresponding grade intervention is adopted, so that accurate restoration is realized. According to the method, indigenous tree species are adapted based on the tidal flat environment and salinity, differential remediation operation is adopted, collaborative reconstruction of the mangrove forest ecological system structure and the coast protection function is achieved, and a standardized operation system breaks through limitation of traditional remediation.

This invention discloses a method and device for harvesting tidal flat shellfish using a vibration-induced burial method, belonging to the field of tidal flat shellfish harvesting technology. The harvesting method includes the following steps: arranging several cylindrical vibrators side-by-side and installing them on one side of a driving device; adjusting the center distance, vibration frequency, amplitude, burial depth, and moving speed of the driving device between the cylindrical vibrators; applying vibration to the tidal flat substrate using the cylindrical vibrators to induce localized liquefaction; and using the driving device to move the cylindrical vibrators, causing the buried shellfish to detach from the substrate and float to the surface for harvesting. In this invention, the cylindrical vibrators apply vibration to the tidal flat substrate to induce localized liquefaction, causing the shellfish buried in the substrate to separate from the substrate and float to the surface. This eliminates the need for overall excavation of the tidal flat substrate, and the cylindrical vibrators can move smoothly in the liquefied substrate, thereby reducing operational resistance and equipment load during the harvesting process.

The invention discloses a mudflat soil salinity remote sensing inversion method, which comprises the following steps of 1, acquiring mudflat area remote sensing data and ground actually-measured soil salinity data; step 2, constructing a composite spectral index as a salt sensitive characteristic; step 3, performing multi-dimensional feature fusion on the salinity sensitive features to construct a salinity sensitive feature set, and constructing a multi-dimensional fusion feature vector data set including a spectral dimension, a spatial dimension and a statistical dimension; 4, constructing a small sample adaptive deep learning salinity inversion model with a three-layer progressive feature extraction architecture, and training the model through a multi-dimensional fusion feature vector data set; and step 5, performing inversion through the trained small sample adaptive deep learning salinity inversion model to generate a regional soil salinity spatial distribution map. According to the invention, through novel composite spectral index construction, a multi-dimensional feature fusion system, a sample equalization strategy and a small sample adaptive model, high-precision inversion of mud flat soil salinity is realized.

The present application relates to the technical field of ecological restoration of intertidal oyster reef, and discloses an oyster reef component based on an intertidal photovoltaic pile foundation and a manufacturing method thereof, which comprises a sleeving mechanism, the bottom of the sleeving mechanism is provided with an adhering mechanism, and the bottom of the adhering mechanism is provided with a supporting and fixing mechanism; the sleeving mechanism comprises a half sleeve one and a half sleeve two, both ends of the half sleeve one are fixedly connected with plug blocks, both ends of the half sleeve two are provided with plug slots, the plug blocks and the plug slots are mutually inserted, both top ends of the half sleeve two are provided with mounting holes, the top of the two plug blocks is provided with plug holes, bolts are arranged between the mounting holes and the plug holes, and the inner side walls of the half sleeve one and the half sleeve two are provided with anti-skid pieces. The oyster reef component based on the intertidal photovoltaic pile foundation and the manufacturing method thereof can not only provide a suitable habitat for oysters, but also can repair the intertidal habitat of a photovoltaic field area, increase the types and density of benthic organisms, and restore the biodiversity of the photovoltaic field area.

The present application belongs to the technical field of oil and gas exploration, and particularly relates to a kind of exploration method of restricted tidal flat facies carbonate rock gas reservoir. Based on rock, logging data, seismic data, experimental test analysis data, through microfabric analysis, macro and micro combination approach, through rock fabric and mineral identification, restricted tidal flat facies rock development characteristics and regional scope are identified and defined; wherein the rock samples include pore development samples and samples with lithology of dark mudstone and argillaceous carbonate rock; frequency spectrum analysis method, weighted average method, organic matter mass balance method and coherent technology method are used to construct high-frequency sequence lithology-electricity interpretation model and multi-scale through-source fault transport pattern; thus, restricted tidal flat facies carbonate rock gas reservoir accumulation mode is obtained to explore restricted tidal flat facies carbonate rock gas reservoir. The present application innovatively explores restricted tidal flat facies carbonate rock gas reservoir, and solves the technical problems of identification and fine description of this type of gas reservoir.

The invention discloses an in-situ solidification device for mud flat silt soft soil. The in-situ solidification device comprises a mechanical arm, a first rotary stirring head, a second rotary stirring head and a stirring head support. The first rotary stirring head and the second rotary stirring head are symmetrical to two inclined lower sides of the stirring head support; a driving device in the stirring head support can drive the first rotary stirring head and the second rotary stirring head to rotate along respective axes; a curing agent grouting nozzle is arranged on the stirring head support; the upper end of the stirring head support is fixed to a vertical main shaft, the lower end of the mechanical arm is connected with an extending base in the length direction, and a transmission structure in the extending base can drive the main shaft to rotate along the axis. A rotating ring is coaxially arranged at the joint of the mechanical arm and the extension seat, and a transmission structure in the mechanical arm can drive the rotating ring to rotate along the axis; and the problems of non-uniform mixing, material waste and the like existing in traditional open type stirring are solved.

The application discloses a Landsat-based tidal wetland spatio-temporal evolution monitoring method, which comprises the following steps: S1, acquiring multi-temporal Landsat remote sensing image data of a target region and performing consistency preprocessing; S2, constructing a spectral index time sequence comprising NDWI, NDVI, PSRI and NIRv based on the preprocessed multi-temporal Landsat remote sensing image data; S3, generating key period images based on the spectral index time sequence; S4, performing initial classification of tidal flats and wetland vegetation based on the key period images to obtain initial classification maps year by year; S5, performing segmentation by using a LandTrendr algorithm based on the spectral index time sequence, and performing time sequence consistency optimization on the initial classification maps according to the obtained segmentation results to obtain optimized classification results; and S6, performing post-processing on the optimized classification results to generate a tidal wetland year-by-year dynamic classification data set. The application can generate a high-quality data set accurately reflecting the year-by-year dynamic evolution of a tidal wetland.

The application discloses a Spartina alterniflora rapid treatment method based on MICP and belongs to the technical field of Spartina alterniflora treatment. The Spartina alterniflora rapid treatment method based on MICP comprises the following steps: step one, cutting Spartina alterniflora by using a mower; step two, scattering quicklime powder into a treatment area, and turning the quicklime powder and the cut Spartina alterniflora straw into soil; step three, uniformly inserting a plurality of degradable hollow bamboo poles into the soil, connecting the hollow bamboo poles with a grouting pump, and injecting a reaction solution into the soil through the hollow bamboo poles; step four, after the injection of the reaction solution is completed, blowing a layer of sea mud on the soil; and step five, planting local plant species on the sea mud. The method can utilize microorganisms to induce the generation of calcium carbonate precipitation. After the calcium carbonate precipitation, the calcium carbonate precipitation is adsorbed in soil particle pores to block soil pores, a dense hardened layer is formed to hinder the growth of Spartina alterniflora, Spartina alterniflora can be treated rapidly at one time, and the rapid repair of a tidal flat wetland ecosystem can be realized.

The invention discloses a shoreline transition-tidal flat erosion and deposition collaboration evaluation method, which comprises the following steps of: firstly, selecting a research area, acquiring a multi-temporal high-resolution remote sensing image and tide level data at a corresponding imaging moment, and verifying; secondly, coastline information is extracted, correction is carried out in combination with an actually measured and repaired coastline, and then a digital coastline analysis system is used for quantitatively evaluating coastline transition features; then, sequentially carrying out water body information extraction, filtering and denoising, image binaryzation, morphological optimization, edge vector extraction and other processing on the basis of each scene remote sensing image, and obtaining time sequence remote sensing waterline data; and finally, constructing a digital elevation model by adopting a tidal flat terrain inversion method based on the water line elevation control point, analyzing the erosion and deposition dynamic state of the tidal flat after verification, and systematically revealing the coast evolution rule. Cooperative evaluation of shoreline and tidal flat changes is achieved, high practicability and expandability are achieved, and the precision and efficiency of coast evolution process monitoring are improved.

The present application provides a beach and tidal flat garbage relative pollution probability prediction method considering the influence of nearshore tide wave and target object activity, which comprises the following steps: S1, obtaining the basic data of the target beach; S2, calculating the beach and tidal flat garbage relative pollution probability P under the influence of tide wave scouring v ’ ; S3, calculating the beach and tidal flat garbage relative pollution probability P under the influence of nearshore wind-wave-current combination h ; S4, calculating the beach and tidal flat garbage relative pollution probability P under the influence of target object activity r ; S5, calculating the comprehensive beach and tidal flat garbage relative pollution probability P; S6, spatially classifying and visualizing the P values of each region obtained by calculation, and drawing a beach and tidal flat garbage relative pollution probability ranking diagram.