80 results about "Shore zone" 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 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 belongs to the technical field of remote sensing image data processing, and relates to a multi-feature fusion coastal zone culture pond extraction method, which comprises the following steps: obtaining spectral features and polarization features based on an obtained Sentinel-1 image and an obtained Sentinel-2 image; calculating and evaluating an NDWI time sequence based on the NDWI to generate a time sequence synthesis NDWI image; a water body main body is obtained through the hierarchical feature fusion decision tree; obtaining morphological characteristics based on the water body object; obtaining the chlorophyll a concentration and the dynamic characteristic factor of the chlorophyll a concentration based on the Sentinel-2 image; and extracting a culture pond through a random forest classifier, and generating a culture pond spatial distribution diagram. According to the method, the spectral features, the polarization features, the morphological features, the chlorophyll a concentration and the chlorophyll a concentration dynamic feature factors are fused, and the decision tree and the random forest classifier are fused through the hierarchical features, so that the problems of low accuracy and poor stability of existing culture pond extraction are solved.

The invention discloses a coastal zone planning method and system based on MaXent and hotspot analysis, and relates to the technical field of coastal zone planning. Comprising the following steps: S1, collecting environment variable data, species distribution data and development intensity data, constructing a unified space-time grid system, and realizing time sequence expression of the data through data preprocessing; s2, constructing a quarterly time sequence maximum entropy model, and performing time sequence evaluation on each grid habitat state to form a habitat evolution type; s3, identifying time sequence significant hot spots and hot spot persistence and intensity features, constructing ecological development relationship comprehensive representation, and identifying ecological development conflict types; and S4, spatially superposing the habitat evolution type and the ecological development conflict type to form a self-adaptive access rule, and generating differentiated planning suggestions according to regions. The problem that planning lacks dynamic adaptability due to the fact that coastal zone habitat suitability and development intensity depend on static time point data for a long time and a time sequence evolution rule cannot be recognized is solved.

The invention belongs to the technical field of image processing, and discloses a coastal zone ground feature coverage information extraction method and system based on a remote sensing cloud platform. Multi-source remote sensing data are integrated, and a standardized image is generated after preprocessing; an improved U-Net model is constructed, an encoder of the improved U-Net model adopts a residual convolution module to enhance feature extraction, a decoder recovers details through bilinear interpolation up-sampling and jump connection, the segmentation precision of an artificial shoreline and a natural shoreline is optimized in combination with a weighted cross entropy loss function, and the recognition robustness of a complex ground feature coverage area is improved; and superposing the coastline segmentation result and the ground feature classification data space, generating a vector result, and verifying the precision through a comprehensive evaluation system fusing multiple indexes. According to the method, high-precision extraction of coastal zone ground feature information is realized, and technical support is provided for ocean space planning and implementation and coastal zone resource management.

The invention relates to the technical field of water environment monitoring and water ecological protection, solves the technical problem that hydrology, water quality, vegetation and bottom mud monitoring are mutually dispersed and are difficult to correspond in the prior art, and particularly relates to a lakeside microenvironment composite monitoring pile and an ecological disturbance evaluation method. The composite monitoring piles sequentially comprise an overwater area, a variable water level zone monitoring area and an underwater area in the vertical direction, the bottoms of the composite monitoring piles are fixed to bottom mud, the multiple composite monitoring piles are arranged according to the water depth gradient of 0-20 cm, 20-50 cm and 50-100 cm, a hydrodynamic force disturbance index and a microenvironment response index are established by comparing base line and disturbance working condition monitoring results, a composite ecological disturbance index is established, and the water level zone monitoring area and the water level zone monitoring area are located in the bottom mud. The method is used for quantitatively evaluating lakeside disturbance intensity and engineering measure effects. According to the method, quantitative and graded evaluation of the ecological disturbance degree of the lakeside zone is realized, and a scientific basis is provided for lakeside zone revetment form optimization, ecological restoration measure arrangement and water function zone management.

The invention provides a coastal zone land coverage type classification method based on a random forest and a topology rule, and belongs to the technical field of coastal zone land coverage type classification. The method comprises the following steps: based on a GEE cloud platform, integrating a multispectral remote sensing image and elevation data, extracting spectral features and geographic features, and realizing pixel-level classification of random forest machine learning; generating a clustering unit through a simple non-iterative clustering method, and performing object-oriented special classification on the water body and the aquaculture pond in combination with spectral and morphological characteristics of the clustering unit; spatial filtering is introduced to remove salt and pepper noise, a coastal zone ground feature topology rule base is established to carry out spatial logic verification, and coastal zone land coverage classification with high precision and reasonable spatial layout is realized. According to the method, the multi-source remote sensing data and the multi-level classification strategy are fused, the problems of coastal zone ground feature spectrum confusion, boundary fuzziness and space logic inconformity are effectively solved, the classification precision and practicability are remarkably improved, and the method is suitable for land coverage monitoring and management of the complex coastal zone environment.

The invention provides a natural shoreline and mangrove forest supervision method and system based on video recognition, and the method comprises the steps: S1, installing and deploying information collection equipment, and setting a preset position and a cruise plan according to different monitoring targets; s2, accessing original sample data acquired by information acquisition equipment, reinforcing an original sample data set through a three-level data enhancement framework, and constructing a shoreline target sample data set; s3, optimizing by taking the YOLOv8n model as a basic model, and constructing a shoreline target recognition model; s4, constructing a target entity-spatial constraint-ownership state triple verification rule fusion judgment model as a behavior recognition model; and S5, inputting a recognition result of the shoreline target recognition model into a behavior recognition model, judging an illegal behavior through a triple verification rule, and generating early warning information. According to the invention, the working efficiency of natural shoreline supervision can be improved, and a replicable solution is provided for fine management of the coastal zone and the mangrove forest.

The invention discloses a multi-spectrum and SAR cooperative sensing sea reclamation increment remote sensing detection method, and belongs to the technical field of land change remote sensing monitoring. According to the scheme, multi-spectrum and SAR satellite data are fused, the data advantages of optical images and synthetic aperture radar images are effectively combined, and through the wave band operation and threshold segmentation technology, the real-time performance of the sea reclamation increment is improved. According to the method, more detailed and reliable sea reclamation pattern spot information can be obtained, the spatial distribution and dynamic change of suspected sea reclamation pattern spots can be accurately identified, and the limitation that traditional optical remote sensing is interfered by cloudy and rainy weather is effectively overcome. The method is used for a computer program to execute and complete multi-source data fusion, change detection and sea reclamation suspected pattern spot detection and analysis, and can be widely applied to the fields of coastal zone ecological environment protection, coastal city planning management, ocean resource sustainable utilization, relevant policy making and the like. And a core technical support is provided for full-process monitoring and scientific decision making of the reclamation activity.

The embodiment of the invention provides a riverside and lakeside zone remote sensing monitoring method and product. The riverside and lakeside zone remote sensing monitoring method comprises the following steps: acquiring historical medium-resolution remote sensing image data and historical high-resolution remote sensing image data; extracting an end member spectrum of a typical ground feature from the historical medium-resolution remote sensing image data; correcting the end member spectrum according to the high-resolution remote sensing image data and eliminating shadow or cloud interference to obtain a target end member spectrum matrix; performing pixel unmixing on the to-be-decomposed medium-resolution remote sensing image data according to the target end member spectrum matrix to obtain a pixel unmixing result; determining a water level amplitude variation area according to the pixel unmixing result and the flooding frequency; determining a coastal zone monitoring range according to the water level amplitude variation area; inputting image data corresponding to the monitoring range of the coastal zone into a wavelet transform U-Net deep convolutional neural network model to obtain a land utilization classification result of the coastal zone; and quantifying the ecological bank zone ratio result of each river reach according to the land utilization classification result of the coastal zone.

The application discloses a coastal zone planning method and system based on MaXent and hotspot analysis, and relates to the technical field of coastal zone planning. The method comprises the following steps: S1, collecting environmental variable data, species distribution data and development intensity data, constructing a unified space-time grid system, and realizing time series expression of the data through data preprocessing; S2, constructing a quarterly time series maximum entropy model, time series evaluating habitat states of each grid, and forming habitat evolution types; S3, identifying time series significant hotspots and hotspot persistence and intensity characteristics, constructing a comprehensive representation of ecological development relationship, and identifying ecological development conflict types; and S4, spatially superimposing the habitat evolution types and the ecological development conflict types, forming adaptive access rules, and generating differentiated planning suggestions according to regions. The problems that the long-term dependence of coastal zone habitat suitability and development intensity on static time point data and the inability to identify time series evolution rules result in the lack of dynamic adaptability of planning are solved.

The application discloses a kind of oyster reef repair methods based on plant material construction attachment matrix, it is related to the technical field of coastal zone ecological restoration.The repair method includes the following steps: S1, selecting plant material, the stem of salt marsh plant is the plant material;S2, the plant material is cut into segments and pretreated, and an attachment matrix assembly is prepared;S3, a plurality of the attachment matrix assemblies are tied and connected to form an attachment matrix unit, the attachment matrix unit is arranged in a matrix, is vertically fixed on the surface of a bearing member, and forms a deployable matrix structure unit;S4, the matrix structure unit is laid in the target repair area, and is fixed to the base by anchoring assembly.The plant material of the application maintains structural durability during the oyster attachment period, and is completely degraded naturally in the later period;It reduces the dependence on hard artificial matrix, has a wide source of materials, is easy to construct, has remarkable repair effect, and is suitable for oyster reef repair in intertidal zone or shallow water area and other areas where natural attachment matrix is lacking.

The invention provides a sea area influence measurement method and device for a coastal zone land area development level, and belongs to the technical field of information suitable for administrative purposes. The method comprises the following steps: generating a plurality of equidistant sampling lines perpendicular to a coastline along the coastline, wherein each sampling line extends a preset distance towards a land area and a sea area; acquiring an intersection point of each sampling line and the coastline as a sampling intersection point SIP; calculating an index average value of all pixels penetrated by each sampling line based on land social economic index data, and assigning the average value to the corresponding SIP to form a land development level point with vertical representativeness; carrying out nearest distance matching operation on a target pixel in the sea area and each SIP (Session Initiation Protocol); and according to the Euclidean distance between the target pixel and the SIP, performing attenuation processing on the land development level represented by the SIP by adopting a Gaussian attenuation function to obtain a sea area social economic influence score of the target pixel, thereby realizing fine description of transmitting the land development level to the sea area.

The invention relates to the technical field of coastal zone ecological restoration, and discloses a tidal creek pattern construction method and a dredged soil ecological utilization method.The tidal creek pattern construction method comprises the following steps that a tidal creek restoration area is selected, and a spacing dam is constructed on the periphery of the restoration area; a drainage water gate is arranged on the water-facing boundary of the spacing dam, the restoration area is filled with dredged soil in a fixed-point hydraulic reclamation mode, and a plurality of mud outlets are formed; a drainage channel is formed in the restoration area through natural drainage or artificial guide drainage; after the dredged soil is solidified, the drainage sluice is dismantled; and lowering or removing a sea-facing boundary structure of the spacing dam to promote formation of a natural tidal creek system. The invention provides an artificial guidance and natural molding coupled tidal creek pattern construction method, and solves the technical contradiction of'manual intervention and natural process collaboration 'in tidal flat habitat restoration.

The application provides a coastal zone change detection method based on an attention mechanism and a joint loss function, and belongs to the technical field of coastal zone change detection.The application uses a nonlinear transformation attention mechanism and a joint loss function to solve the problem of coastal zone change detection in optical remote sensing images, and performs pixel-level subtraction operation on double-time-phase features, so that the model effectively locates the specific position of the coastal zone change, reduces the error caused by brightness difference, and improves the accuracy of change detection.The joint loss function combines a cross-entropy loss function and an edge extraction loss function, improves the performance of the change detection model in processing complex scenes, reduces the confusion between the target domain and the background, and improves the change detection of the edge obvious area.

The application discloses a kind of coastal groundwater-surface water monitoring sampling device and experimental method of adaptation tidal fluctuation, including carrying platform, amphibious mobile track system located below carrying platform, positioning navigation system located on carrying platform, buoyancy adjusting wing plate system symmetrically located on the both sides of carrying platform, groundwater monitoring sampling system located on carrying platform, surface water monitoring sampling system located on carrying platform, sample separation and preservation system located in carrying platform, visual monitoring system located on carrying platform and control system located in carrying platform, wherein control system is respectively electrically connected with amphibious mobile track system, positioning navigation system, buoyancy adjusting wing plate system, groundwater monitoring sampling system, surface water monitoring sampling system, sample separation and preservation system and visual monitoring system.The application realizes synchronous, layered sampling of groundwater and surface water at different sites in coastal zone within full tidal cycle.

The invention discloses a coastal zone nitrogen and phosphorus reduction effect evaluation method, which comprises the following steps: acquiring multispectral image data and a digital surface model, and acquiring actual gradient, altitude and long-term hydrological dynamic data through ground actual measurement, sampling and investigation; extracting core parameters, correcting a digital surface model by utilizing ground actual measurement altitude data, constructing a target coastal zone precise digital elevation model, determining a gradient and dividing a gradient interval, and identifying a target coastal zone type and a planting / slope protection combined structure by combining multispectral image data, ground survey data and the digital surface model; obtaining a nitrogen and phosphorus reduction reference value according to the core parameters, extracting a rainfall intensity correction coefficient and a water level amplitude correction coefficient in combination with hydrological dynamic data, and calculating a final nitrogen and phosphorus reduction proportion; and spatial visualization is carried out, so that efficient, accurate and standardized evaluation of the nitrogen and phosphorus reduction effect of the coastal zone is realized, and a scientific basis is provided for design, optimization and effect inspection of ecological restoration engineering of the coastal zone.

The invention provides a coastal erosion prediction method and system based on adaptive STL decomposition and CNN-LSTM, and the method comprises the steps: obtaining the elevation scatter data of a coastal zone region in a specified time period, and constructing a three-dimensional spatio-temporal data set according to the elevation scatter data; subsequence data is extracted from the three-dimensional spatiotemporal data set through a specified sliding time window for calculating the window length, a seasonal stability index value is calculated according to the subsequence data, and the seasonal stability index value is converted into a corresponding adaptive seasonal window length according to a preset mapping relation; performing STL decomposition processing on the three-dimensional spatiotemporal data set in combination with the adaptive seasonal window length to obtain a seasonal item sequence, a trend item sequence and a residual item sequence; and performing elevation value prediction on the seasonal term sequence, the trend term sequence and the residual term sequence based on the trained CNN-LSTM combination model to obtain a final coast erosion prediction result. According to the method, the accuracy of coastal zone space-time erosion feature prediction can be improved.

The present application relates to the technical field of water environment monitoring and water ecological protection, solves the technical problem that hydrology, water quality, vegetation and sediment monitoring are dispersed and difficult to correspond in the prior art, and particularly relates to a lake shore zone microenvironment composite monitoring pile and an ecological disturbance evaluation method, the composite monitoring pile sequentially includes a water area, a variable water level zone monitoring area and an underwater area along the vertical direction, and the bottom of the composite monitoring pile is fixed to the sediment, multiple composite monitoring piles are arranged according to the water depth gradient of 0-20 cm, 20-50 cm and 50-100 cm, the water dynamic disturbance index and the microenvironment response index are established by comparing the baseline and the disturbance working condition monitoring results, the composite ecological disturbance index is constructed, and the disturbance intensity of the lake shore zone and the engineering measure effect are quantitatively evaluated. The present application realizes quantitative and grading evaluation of the ecological disturbance degree of the lake shore zone, and provides a scientific basis for optimization of the lake shore zone revetment form, arrangement of ecological restoration measures and management of the water function area.

The present application relates to carbon storage monitoring technical field, specifically to a coastal carbon storage dynamic tracking and prediction method, comprising the following steps: S1, collecting multi-source monitoring data of coastal area and performing standardization alignment, constructing ecological factor cross-scale projection atlas; S2, identifying carbon storage jump events caused by vegetation degradation rate mutation, sediment carbon rebound or terrain sudden drop in the atlas, extracting corresponding micro-terrain disturbance structure and ecological disturbance factor combination, and constructing event structure trigger set; S3, inputting the trigger set into carbon storage structure transition prediction model, fusing ecological function area disturbance response parameters, and outputting carbon storage diffusion main path and jump section dynamic tracking graph in future period. The present application realizes accurate identification, dynamic diffusion path tracking and risk grade evaluation of coastal carbon storage jump events, and significantly improves the scientificity and application value of carbon storage migration prediction.

1. The name of the design product: unmanned ship depth finder. 2. The use of the design product: the design product is used for water depth measurement in inland rivers, ports, channels and coastal zones, etc. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The application discloses a kind of coastal zone soil embankment hole grouting repair equipment and method, grouting repair equipment includes grouting pipe, grouting pipe is by upper beating cylinder and lower grouting pipe, the inner hole diameter of beating cylinder is greater than the inner hole diameter of grouting pipe, top side wall of beating cylinder is equipped with feed hopper, feed channel is equipped with intercommunication between feed hopper and beating cylinder, end cap is fixedly installed on beating cylinder upper end, the center hole on end cap, beating rod is slidably installed on center hole, the diameter of beating rod is less than the inner hole diameter of beating cylinder, handle for push-pull is equipped on the upper end of beating rod, the lower end of beating rod is equipped with piston that sealing sliding connection is carried out with the inner hole of beating cylinder, one-way valve is equipped on piston.The grouting repair equipment of the application has the advantages of low cost, mobile repair is convenient, can be quickly repaired to the hole of coastal zone soil embankment caused by fish, crab and other organisms by worker.

The invention discloses a coastal zone remote sensing image-based digital elevation model generation method, which comprises the following steps of: performing geographical registration and preprocessing, extracting edge priori of a remote sensing image, and generating a water body edge pseudo label by utilizing a multispectral water body index; a CycleGAN network is used as a framework, an edge supervision module and an edge detail feature enhancement module are integrated in a generator, a channel and a space attention and self-attention technology are fused, and a generation model of a digital elevation model is constructed; supervising an edge supervision module and an edge detail feature enhancement module by using a water body edge pseudo tag, and forcing the network to pay attention to land and water boundary features; and carrying out joint training on the generative model by utilizing a multi-loss function system containing water body edge pseudo label supervision loss, and generating a digital elevation model. According to the method, the high-quality coastal zone digital elevation model can be accurately generated from the multispectral remote sensing image, the water and land boundary is clear, details are rich, and the method has good practical value and popularization.

This invention discloses a spatiotemporal reconstruction method and system for coastal vegetation indices based on geographic logic gating and multi-agent systems, belonging to the fields of remote sensing ecological monitoring and deep learning. The method acquires and preprocesses multi-temporal high- and low-resolution remote sensing images to construct NDVI spatiotemporal feature sequences. Spatiotemporal features are obtained through deep encoding, and a multi-agent system incorporating information on vegetation, cloud cover, tides, and topography is established. Coastal geographic logic constraints are introduced to construct multi-scale spatiotemporal differences and generate geographic logic gating, which weights and modulates the spatiotemporal features to enhance reliable information and suppress interference noise. Multi-agent collaborative reconstruction is achieved under multi-objective constraints, outputting high-resolution vegetation indices and supporting edge deployment and online learning. This invention effectively overcomes problems such as cloud and fog obstruction, tidal inundation, and data gaps, significantly improving reconstruction accuracy, geographic rationality, and spatiotemporal continuity. It is more adaptable to the complex ecological environment of coastal zones, providing a stable and reliable technical means for long-term dynamic monitoring of vegetation.

The invention relates to a coastal zone topographic survey and update integrated system, which comprises a survey area division module used for dividing a to-be-collected topographic area into different sub-areas; the submarine topography measurement module is used for measuring the submarine topography of the sea area to be collected; the airborne LiDAR aerial photography point cloud data acquisition module is used for carrying out airborne LiDAR aerial photography point cloud data acquisition on the terrain area to be acquired; and the coastal zone land and island terrain updating module is used for updating the coastal zone land and island terrain of the to-be-collected area. According to the application, the measurement area division precision is improved: the measurement area division module can divide the terrain area to be collected into different sub-areas, so that the division precision is improved, and measurement loopholes and repeated measurement are avoided; and the coastal zone geographic data arrangement and storage module can arrange and store the collected coastal zone geographic data, thereby facilitating the management and application of the coastal topographic data.

The invention provides a lagoon face coast dune planting ecological construction method which comprises the steps that a sand blocking area, a dune development area and a plant protection area are sequentially arranged between a sea area and a lagoon face, the lagoon face is communicated with the sea area through a tidal channel, and the water level of the lagoon face is flush with the average sea level; the sand blocking area is located on the near sea area side, the initial line of the sand blocking area is formed by superposing wave climb on the local multi-year average large tide line, and Z1 = MHWS + R. According to the method, the coast sandstorm landform forming power and evolution mechanism is fully followed, the lagoon face sandy coast ecological characteristics and functional potentials are comprehensively considered, and the lagoon face sandy coast ecological characteristics and the lagoon face sandy coast ecological characteristics and the lagoon face sandy coast ecological characteristics and the lagoon face sandy coast ecological characteristics are comprehensively considered. Through application of environmental low-influence technical measures and reasonable layout of ecological space, natural development of coast dunes and rapid field planting and stable development of vegetation suitable for growth are promoted, the ecological space beneficial to plant growth, coast sandy soil stabilization and biological diversity conservation is built, and healthy development of a complete ecological system of the coastal zone is promoted.

This invention relates to the field of coastal ecological restoration technology, specifically to an ecological protection slope that mimics a natural coastline and its construction method. Along the sea-to-land direction, it comprises: a simulated natural dike foundation erosion control structure and an ecological vegetation restoration structure. The simulated natural dike foundation erosion control structure and the ecological vegetation restoration structure work together to form a coastal protection slope system that mimics a natural morphology and combines erosion resistance with ecological restoration functions. This invention forms a gradient protection system by setting up the simulated natural dike foundation erosion control structure and the ecological vegetation restoration structure. Simultaneously, the dike foundation structure utilizes the core features of prefabricated hollow concrete components stacked and corbelled, filled with natural rock blocks, and pre-reserved gaps between rocks and tidal pools. Combined with the basic components of the vegetation restoration structure, it achieves the integration of erosion protection, ecological habitat construction, and natural landscape restoration, fundamentally solving the problem of the disconnect between protection and ecology in the management of steep erosion coastlines.

The utility model belongs to the field of ecological environment, and particularly relates to a device for vertically determining a quadrat center point in a riverside and lakeside zone, which comprises a support frame, a support rod and a laser transmitter, a fixing structure is arranged on the laser transmitter, the laser transmitter is connected on the support rod through the fixing structure, and the support rod is connected with the support frame; the supporting rods are provided with a plurality of sections, and the adjacent supporting rods are movably connected. The laser transmitter is arranged on the supporting rod, so that the problem that the error of the quadrat center point is large due to the fact that the vertical investigation quadrat center point needs to be determined through manual horizontal wire pulling in existing river and lakeside shoreline monitoring work is solved; by arranging the fixing structure on the laser transmitter, the purpose of flexibly adjusting the height of the laser transmitter can be achieved; and by arranging a plurality of sections of supporting rods which can be connected and arranging an adjuster on the supporting frame, the device is convenient to store and carry.

An annular columnar fish reef ring (100), and a method for constructing a coastal ecological field. The fish reef ring comprises combination piles (1), first connecting members (2), and connecting beams (3); a plurality of combination piles are vertically arranged in a tidal flat; the plurality of combination piles are arranged circumferentially; a plurality of first connecting members are correspondingly mounted on the combination piles; a plurality of connecting beams are arranged in parallel; two end of each connecting beam are respectively connected to first connecting members on adjacent combination piles; the connecting beams and the combination piles together form an annular enclosed structure. When the combination piles are arranged in a tidal flat, the connecting beams between the combination piles can achieve a supporting function on the tidal flat, preventing the combination piles from sinking too deep, which causes the annular columnar fish reef ring to sink into mud of the tidal flat as a whole; the formed annular enclosed structure becomes a habitat for marine organisms, helping to maintain the stability of the coastal ecological environment; the vertically arranged combination piles can regulate the flow velocity in shallow tidal areas, cut off rills on the tidal flat surface, prevent further erosion of the tidal flat surface, and stabilize the tidal flat surface.

The utility model relates to the technical field of wave prevention and sand fixation, and discloses a coastal zone ecological protection wave prevention and sand fixation facility which comprises a dam, an extension slope is arranged on one side of the dam, and a protection structure used for wave prevention and sand fixation is arranged on one side of the dam. Through the arrangement of the protection structure, after waves enter the gravel filling area through the water permeable holes, the flow velocity of the waves is weakened, so that impact to a dam and erosion of reflected waves to a coast are reduced, meanwhile, the gravel can intercept silt and promote deposition, the wave-resisting and sand-fixing effects are achieved, and through the arrangement of the artificial fish reef and the ecological bricks, the sand-fixing effect is improved. A habitat of marine organisms is provided, ecological restoration is promoted, the stability of sediments is further enhanced, meanwhile, wave energy generated when waves impact the dam is reduced, on the whole, the facility integrates multiple functions of wave resistance, sand stabilization, ecological restoration and the like, the durability of the dam and the coast protection capacity are improved, and the facility is suitable for coast areas prone to erosion.