528 results about "Dry land" patented technology

The invention discloses a multi-model coupled regional terrestrial ecosystem carbon reserve estimation method, which is suitable for the field of carbon cycle and carbon reserve estimation. The method comprises the following steps: firstly, collecting remote sensing data, and then estimating overground, underground and soil annual carbon density mean values of a regional terrestrial ecosystem by adopting an ARIMA model; the method comprises the following steps: clustering regions with different carbon densities by adopting a CatBoost model, dividing the carbon densities of a regional ecological system into low, medium and high levels, and avoiding the influence of spatial heterogeneity among different density levels on subsequent model training; an RNN model is constructed to evaluate the carbon density conditions of different levels of unit grids, and interannual dynamic carbon density parameters of different types of ecosystems are obtained based on multi-source data; and finally, calculating the carbon reserves of the unit grids, analyzing the annual average change trend and the spatial distribution condition of the carbon reserves, and realizing accurate evaluation of the regional terrestrial ecosystem carbon sink. The method is simple in step and good in using effect, and the change condition of the carbon sink capacity in the corresponding time can be obtained according to the sampling time interval of the input data.

The invention discloses a regional GPP assimilation inversion system fusing foundation-multi-source satellite chlorophyll fluorescence, and belongs to the technical field of terrestrial ecosystem carbon cycle monitoring. The signal unmixing and simulation generation module is used for unmixing the total fluorescence of the mixed pixels into pure chlorophyll fluorescence (SIF) and driving an ecological model to generate SIF and GPP simulation values based on environmental stress data; the state component decoupling module is used for decoupling the total GPP analog value into a light response fast component, a light response slow component and a light response memory component; the state evolution prediction module is used for predicting dynamic evolution of the slow component and the memory component; and the self-adaptive assimilation inversion module is used for performing inversion on the region GPP by taking the slow component and the memory component as state variables, taking the SIF observation value as observation data and combining a prediction result of the state evolution prediction module. According to the method, systematic deviation caused by model simplification or data singleness in a traditional method is overcome.

The invention belongs to the technical field of ecological restoration and wetland engineering, and discloses an ecological corridor-based abandoned fishpond ecological restoration method, which comprises the following steps: S1, land forest restoration: planting saline-alkaline tolerant vegetation around an abandoned fishpond and in a land and abandoned fishpond transition area in a layered manner; s2, mangrove forest wetland construction: performing microtopography modification to adjust the bottom mud elevation, and planting mangrove forest plants in a layered manner; s3, ecological corridor construction: constructing an ecological corridor on one side of the abandoned fishpond and the land, and constructing an ecological corridor on one side of the abandoned fishpond and the ocean; s4, ecological monitoring and maintenance: carrying out hydrological, tidal and biological detection regularly; the three-dimensional ecological corridor system of'land forest-mangrove forest wetland-ocean 'is constructed, and the abandoned fish pond is transformed into the mangrove forest wetland, so that not only are biodiversity improvement and ecosystem connectivity realized, but also stable migration and inhabitation space can be provided for terrestrial and aquatic organisms.

The invention relates to the technical field of ecology and hydrology, in particular to a terrestrial ecosystem water carbon flux estimation method considering water balance constraint, which comprises the following steps: estimating leaf scale photosynthetic rate and stomatal conductance by utilizing a photosynthesis model; the leaf scale photosynthetic rate and the stomatal conductance are upscaled into canopy vegetation total primary productivity and canopy conductance to construct an evapotranspiration model to estimate evapotranspiration data; constructing a water balance model according to the evapotranspiration data so as to estimate the available water amount of the soil; constructing a soil moisture stress function according to the available water amount of the soil so as to constrain the estimation process of the photosynthesis model and the evapotranspiration model; and acquiring historical water-carbon flux data and historical remote sensing observation data of a long sequence daily scale, and calibrating the model to obtain a water-balance-constraint-considered water-carbon flux estimation model of the terrestrial ecosystem capable of estimating the water-carbon flux data. Therefore, the problems that an existing water carbon flux prediction frame is difficult to adapt to climate changes, low in prediction accuracy and the like are solved.

The invention discloses a YOLOv8 improvement-based lightweight detection method for wheat diseases and insect pests in northwest weather, and relates to the technical field of artificial intelligence and machine vision monitoring. The method comprises the following steps: acquiring an original RGB image in a wheat filling period in a northwest dry land area environment; performing screening and Mosaic-8 data enhancement on the collected original image data set, and establishing a wheat disease and insect pest image data set; constructing an improved wheat lesion detection lightweight model based on YOLOv8, and optimizing a network structure; inputting the established wheat disease and insect pest image data set into the improved network model for training; testing the application of the improved network model in a wheat disease and insect pest image test data set, and continuously updating learning parameters of the improved YOLOv8 network model; the updated and trained YOLOv8 network model is used for monitoring a dry land area where wheat is planted in the Gansu province in real time, and the complexity and accuracy of the model are evaluated; and finally, real-time feedback of a model detection result is realized, and wheat plant diseases are dynamically updated to improve model precision.

The invention relates to a numerical mode simulation method for CO2 flux of high-resolution rice, wheat and corn, which comprises the following steps: calculating a vegetation index and a land surface water index, and carrying out inversion to obtain key vegetation parameters of a land ecosystem; the meteorological data and the topographic data are processed, meteorological field initial and boundary condition files are generated, and CO2 chemical initial and boundary condition files are generated; integrating the gridded artificial source CO2 emission data file; applying the optimized photosynthetic and respiratory action parameters to a photosynthetic and respiratory action calculation formula of the terrestrial ecosystem, and constructing a CO2 flux simulation system of the crop system; outputting the CO2 flux of the rice, the wheat and the corn in the simulation area. The method has the advantages that CO2 flux seasonal change characteristics in the key phenological period in the growth process of rice, wheat and corn are simulated, carbon cycle characteristics in the growth process of crops can be better reflected, and more reliable data support is provided for ecological meteorological research.

The invention provides a terrestrial ecosystem service function monitoring and evaluation method, and the method comprises the steps: generating a biological feature vector and an environment feature vector according to biological data and environment data collected in an ecological protection region; performing species identification on the biological feature vector based on a biological large model, performing environment analysis on the environment feature vector based on an environment large model, and obtaining animal and plant information and environment quality evaluation conditions in the ecological protection area; and based on an ecological system evaluation model, carrying out comprehensive reasoning analysis on the organisms, the environment, the comprehensive feature vectors, animal and plant information in the ecological protection area and environment quality evaluation conditions, and evaluating an ecological system service function of the ecological protection area. Wherein the comprehensive feature vector is determined based on the fusion of the biological feature vector, the environment feature vector and the dynamically adjusted weight. According to the method, the overall ecological condition of the ecological protection area can be more comprehensively understood by adopting a large model technology, and more comprehensive, accurate, dynamic and scientific ecological system service function evaluation is provided.

The invention belongs to the technical field of mobile robots, and particularly relates to an amphibious hexapod robot which comprises a robot body, six walking feet, a protection box, propellers, a multi-sensor system and a central control unit. The six walking feet are arranged on the two sides of the robot body, and a waterproof driving joint is arranged at the tail end of each foot. The protection box is arranged at the root of the walking foot and internally integrated with propellers; the sensor system comprises a water depth sensor, an attitude sensor and a grounding detection module; the central control unit is used for collecting sensor data in real time, judging whether the current environment is a land or a water area, automatically switching a walking mode or a water propulsion mode, and meanwhile adaptively adjusting gaits and the rotating speed of propellers according to the water depth and the terrain. The robot has environment perception, mode decision, gait generation, grounding prevention protection and energy optimization strategies, full-autonomous and high-adaptability movement in the land and water environment is achieved, and the working capacity and safety of the robot in the complex environment are improved.

The invention discloses a water area and resource quantity monitoring and predicting method and system based on a remote sensing technology, and belongs to the technical field of water resource monitoring. The method comprises the following steps: determining a water area range according to historical data of a research area and an on-site survey condition, and determining a research area range; the method comprises the following steps: respectively acquiring ground data and water depth and water surface elevation data by using an unmanned aerial vehicle and an unmanned ship, respectively processing to obtain a land DEM and a water area DEM, and fusing to form an all-terrain DEM; downloading satellite image data of the research area, and performing geographical registration on the satellite image data; in the geographically registered satellite image data, describing the boundary of the water area through visual interpretation; superposing the water area boundary to an all-terrain DEM, obtaining the elevation of each point on the water area boundary line, calculating the average elevation of the water area boundary, and calculating the water area and the water resource amount to obtain the historical water area and the water resource amount; and on the basis of the obtained historical water area and water resource quantity, utilizing an ARIMA model to predict future water resource quantity and water area.

The invention relates to a shallow water dynamic process simulation method based on a local time step length, and the method comprises the steps: dividing a target region into a plurality of grids based on a shallow water dynamic process model, the target region comprising an ocean region and a land region adjacent to the ocean region; at least dividing the plurality of grids into a first grid set and a second grid set; determining a first time step length corresponding to the first grid set according to the first grid set; determining a second time step length corresponding to the second grid set according to the second grid set; determining a first simulation result of the shallow water dynamic process according to the first time step length and the second time step length; wherein the first grid set comprises a plurality of first grids, and the second grid set comprises a plurality of second grids; the first time step length is larger than the second time step length. The efficiency of the shallow water dynamic process simulation method is improved by respectively determining appropriate local time steps according to the precision requirements of different grid sets.

The invention relates to the technical field of underground space development, and provides a coastal bedrock type city underground space development geological suitability evaluation method comprising the following steps: analyzing key geological problems of land area and sea area underground space development, and extracting related geological factors; basic geological data are collected and classified, a geological suitability evaluation index system is constructed, and geological evaluation units are divided; subjective and objective weights are determined based on an analytic hierarchy process and an entropy weight method, and an optimal comprehensive weight is obtained through game theory combination weighting; modeling based on a grey correlation analysis method, and calculating and grading suitability scores of the evaluation units; and integrating evaluation results, and generating an underground space development geological suitability partition map of land-sea overall planning. According to the scheme, the underground space development pattern is optimized, comprehensive utilization of land and ocean resources is promoted, and safe, efficient and sustainable development and utilization of the coastal city underground space are powerfully supported.

The invention provides an SAR image polar region sea ice detection method and system based on deep learning and a medium, the land and the water area are segmented by using a water area detection algorithm based on a DeeplabV3 network, the segmentation precision of the DeeplabV3 network is improved by means of cavity convolution, a spatial pyramid pooling module and a decoder, and the calculation and memory overhead is reduced by using a lightweight MobileNet; then, a sea ice detection algorithm based on a short-term dense cascading STDC network is used for precisely segmenting sea ice and water in a water area, the STDC network reduces the calculation complexity through specific module design and keeps multi-scale information, and meanwhile, multiple optimization means are adopted in decoder design to improve the detection performance; in addition, data is prepared and augmented, and the generalization ability of the model is enhanced. The sea ice detection precision and efficiency are improved, and the method is suitable for resource-limited environments such as on-satellite environments and the like.

The invention discloses a sea-land collaborative coastal wetland ecological quality remote sensing evaluation method under a spartina alterniflora expansion background, and the method comprises the steps: obtaining multi-source remote sensing data of a research region, and carrying out the preprocessing of the data, and obtaining a preprocessed remote sensing image; according to the preprocessed remote sensing image, obtaining a salt marsh vegetation space-time distribution diagram of the research area; remote sensing evaluation is conducted on coastal wetland land and water body ecological quality, land ecological quality remote sensing evaluation indexes integrate NDVI, WET, NDSI, LST and DHI, and water body ecological quality remote sensing evaluation indexes integrate TSM, WST, CDOM and Chl-a; and finally, quickly obtaining the ecological quality change of the affected area of the spartina alterniflora through a spartina alterniflora change condition mask evaluation result. The ecological quality remote sensing evaluation method provided by the invention is more suitable for the coastal wetland under the background of spartina alterniflora expansion, and a scientific basis is provided for making coastal wetland ecological management and protection strategies.

The invention provides a submarine topography and land elevation matching method based on multi-source data fusion, and belongs to the technical field of geographic information technology and ocean engineering cross fusion. Seamless splicing of sea and land topographies is realized through multi-source data preprocessing, topographic feature correlation extraction, dynamic compensation matching and adaptive weight fusion; according to the method, the problems of data heterogeneity, dynamic environment adaptability and insufficient feature association can be solved, the matching precision can reach + / -3cm, the processing efficiency is also improved, and the method is suitable for coastal zone modeling, ocean engineering and other scenes.

The invention discloses a method for fertilizing dry land white slurry soil by coupling liquid fermentation cow dung and straw to return to field. The Baijiang soil fertilizing method provided by the invention comprises the following steps of: throwing crop straws and stubbles into the field in a full amount, then sowing liquid fermented cow dung, and turning over and burying soil; the liquid fermented cow dung dirt is a product obtained by anaerobic fermentation of cow dung, urine and colony house flushing sewage. According to the method, the liquid fermented cow dung and the straws are fully crushed and returned to the field to jointly fertilize the Baijiang soil, so that the cultivated land quality of the Baijiang soil can be remarkably improved, the straw decomposition and nutrient release rate can be accelerated, planting and breeding circulation and livestock and poultry manure resource utilization can be promoted, and the method has important significance on guaranteeing the national food safety.

The invention discloses an arid region groundwater reserve estimation method and system based on multi-source remote sensing data, and relates to the technical field of groundwater monitoring, and the method comprises the steps: collecting land water reserve data and remote sensing image data of a target arid region, obtaining a land water reserve change sequence according to the land water reserve data, carrying out the region weighting of the target arid region, and obtaining a target arid region groundwater reserve change sequence; obtaining a land water reserve change sequence of the target arid region; based on the remote sensing image data of the target arid region, using a digital elevation model to obtain a surface water reserve change sequence of the target arid region, using a land surface process model to obtain a soil water reserve change sequence of the target arid region, and establishing an underground water reserve model of the target arid region; and performing error analysis on an output result of the groundwater reserve model by using a Monte Carlo simulation method. According to the method, through collaborative inversion of multi-source remote sensing data and integration of the groundwater reserve models, accurate quantification of spatial-temporal dynamic of the groundwater reserves in the arid region is realized.

The invention discloses a water depth inversion and coastal zone topographic surveying and mapping method based on a laser radar, and the method is applied to a surveying and mapping instrument mounted on a small unmanned helicopter, and achieves the quick and accurate measurement of the coastal zone topography. The surveying instrument comprises the following instruments: a laser radar, a camera, an inertial measurement unit and a global positioning unit. The method comprises the following steps: completing internal and external parameter calibration of each sensor on a surveying instrument; using the unmanned aerial vehicle to mount the surveying instrument to the to-be-measured area, and moving to obtain topographic data of the to-be-measured area; preliminarily constructing an odometer by using Kalman filtering, and constructing a land topographic map; the method comprises the following steps: recording motion characteristics of sea waves by using a laser radar point cloud elevation, obtaining a laser radar point cloud elevation program sequence, obtaining the water depth of an offshore sea area through a cBathy water depth estimation algorithm, and converting the water depth into a sea area topographic map; and combining the two topographic maps into a complete coastal zone topographic map based on the geographic coordinates.

The invention belongs to the technical field of intelligent irrigation, and particularly relates to a dry land terrace intelligent irrigation control system based on multi-modal data, which comprises a data acquisition module, a data analysis and processing module, a water source and water delivery module, an irrigation execution module and a user interface and monitoring module. According to the invention, sudden water deficit (such as late spring coldness) is dealt with through path re-planning by the mobile irrigation unit, the emergency response speed is increased by 70%, and the drought loss rate is reduced by 54% by a synchronous digital twinning alarm strategy. The core breakthrough is that a closed-loop dynamic optimization mechanism of multi-source data acquisition-edge cloud collaboration-execution feedback is formed, and the problem of resource mismatching caused by data splitting of a traditional system is thoroughly solved, so that the emergency capability is improved; through collaborative optimization of an edge calculation layer (for example, more than 50% humidity data is removed in real time in continuous 3 hours) and a cloud decision layer (three-dimensional control matrix output), a valve is dynamically adjusted in combination with gravitational potential energy, so that the irrigation misjudgment rate is reduced.

The invention discloses a water-land integrated all-terrain DEM surveying method and system based on UAV-USV-GIS, and belongs to the field of terrain surveying. The method comprises the steps of determining a research area range, planning an unmanned aerial vehicle route, and laying image control points; performing aerial survey on the planned route by using an unmanned aerial vehicle to obtain ground point cloud data and images, and respectively processing the ground point cloud data and images into a land DEM and an orthoimage; the boundaries of the subsidence water area are extracted through the orthoimages, the measurement route of the unmanned ship is planned, and underwater topographic data are measured; processing the underwater topographic data, generating a water area DEM, uniformly selecting inspection points by using RTK and sounding equipment to carry out sampling measurement on the underwater elevation, and verifying the accuracy of the water area DEM underwater topographic data; and fusing the land DEM and the water area DEM to generate a complete water-land integrated all-terrain DEM. The technical bottlenecks that the efficiency is low, the data at the junction of water and land is not accurate, and only the elevation data of a single area of the land or the water can be obtained in the subsidence water area terrain modeling by a traditional single measurement means are effectively solved.

The utility model discloses a land and water tide tank which comprises a main tank, a bottom tank and a partition plate, the partition plate divides the main tank into a land area and a water area, the land and water tide tank further comprises an overflow device and a water drainage area, and water in the water area overflows to the water drainage area through the overflow device; the first sewer pipe and the second sewer pipe are arranged in the sewer area, a water inlet of the first sewer pipe is higher than a water inlet of the second sewer pipe, the water inlet of the second sewer pipe is not higher than the overflow height of the overflow device, and an electric ball valve is arranged on the second sewer pipe; the water pump is arranged in the bottom cylinder. The water area of the land and water tide tank has a high water level when located at a low tide level, and meanwhile, the land area is provided with a deep land layer with good air permeability, so that the requirements of intertidal zone organisms on the land layer and the requirements of aquatic organisms on water quantity can be met. In addition, the deep land layer can be used for digging deep holes for cave organisms in the intertidal zone, survival of the cave organisms is facilitated, and the ornamental value of the land and water tidal tank is improved.

The invention relates to an active unloading sheet pile revetment reinforcement design method and structure, and belongs to the technical field of revetment reinforcement. Channel parameters and soil mechanical characteristics are measured, design reinforcement piles with the same height as original pile foundations are arranged on the back edge of a revetment, and a pile spacing calculation formula is established based on the soil arching effect; the load sharing ratio of the reinforcing pile is controlled and designed by adjusting the pile diameter; the reinforcing structure designed through the method comprises prestressed sheet piles, a bearing platform, designed reinforcing piles, a gravity type retaining wall, a slope protection surface layer, a concrete coping, an original mud surface line and a designed mud surface line, the pile diameter and the pile distance of the designed reinforcing piles are dynamically adjusted according to the dredging depth, and the thicker a dredging soil layer is, the larger the soil pressure is, the larger the pile diameter is, and the denser the distance is. An original revetment upper structure does not need to be dismantled, the construction period is greatly shortened, and resource waste is reduced; the front line of the revetment does not move forwards, and use of an existing navigable water area is not affected; the construction mode is flexible, land dry land or water construction can be selected according to surrounding conditions, the construction period is short, the speed is high, and the construction cost is low.

The invention relates to the technical field of ecological monitoring, in particular to a resident-free island resource monitoring method based on a spatial three-dimensional model, and the method comprises the following steps: S1, building a remote sensing image interpretation information base; s2, based on the remote sensing image interpretation information base, generating an island space three-dimensional model containing island land terrain and shoreline distribution; s3, generating a total element three-dimensional dynamic map; s4, the interpretation result and the total element three-dimensional dynamic map in the S3 are superposed, and a reef area comprehensive distribution map is generated; s5, calculating the island resource development intensity and the ecological risk level, and outputting an island ecological assessment report; and S6, generating an island resource monitoring report. According to the invention, unmanned aerial vehicle aerial survey, GNSS measurement, depth sounding technology, image interpretation and ecological assessment are combined, a high-precision total-factor three-dimensional dynamic monitoring system is constructed, accurate analysis and visual expression of the current island resource utilization situation are realized, and scientific decision support is provided for island management and ecological protection.

The invention discloses a statistical correction method for land water resource availability simulation data, and belongs to the technical field of climate data analysis. Constructing a space-time distribution simulation capability evaluation model, screening out a global climate system mode with a relatively good simulation effect, and determining historical simulation data # imgabs0 # and future simulation data # imgabs1 #; a cumulative distribution function is established, and the variable quantity and the change rate from historical simulation data # imgabs2 # of the same quantile to future simulation data # imgabs3 # are quantized; selecting a mode simulation trend storage mode, and obtaining deviation-corrected future simulation data # imgabs4 # by using a quantile mapping method; and sequencing the future simulation data # imgabs5 # subjected to deviation correction to obtain future simulation data # imgabs6 # based on a time sequence, and performing deviation correction on the multi-period simulation data to form a perfect historical simulation data set and a future simulation data set. According to the method, the WA simulation precision is fundamentally improved by taking the WA as a correction target variable, the statistical correction effect of the quantile mapping method on the WA variable is analyzed, and most climate scale research requirements are met.

[Problem] To provide a method for acclimatizing saltwater shrimps, a method for growing saltwater shrimps by an aquaponics, a system for acclimatizing saltwater shrimps, and an aquaponics, with which it becomes possible to improve the efficiency of land-based aquaculture of saltwater shrimps and surely promote the growing of saltwater shrimps. [Solution] This method for acclimatizing saltwater shrimps A to a low-salt environment is characterized by including a salt concentration reduction step for reducing the salt concentration in rearing water 111 in which the saltwater shrimps A are reared, wherein the salt concentration in the rearing water 111 is reduced by 0.10-0.50 mass% per day. This system 1 for acclimatizing saltwater shrimps is provided with: a storage part 11 for storing rearing water 111 in which the saltwater shrimps A are reared; and a salt concentration reduction part 12 for reducing the salt concentration in the rearing water 111 stored in the storage part 11, wherein the salt concentration in the rearing water 111 is reduced by 0.10-0.50 mass% per day. The rearing water 111 is made into rearing water 112 having a lower salt concentration than that in the rearing water 11 through the salt concentration reduction part 12.

The invention provides a method and device for cooperatively monitoring the sea level based on GNSS and InSAR, and a storage medium, and relates to the technical field of sea level monitoring. The method comprises the following steps: acquiring point data representing land vertical motion from a GNSS base station which is co-located with a tide station along a coastline, acquiring InSAR surface data representing earth surface deformation from a satellite, acquiring relative sea level change parameters, converting GNSS and InSAR into a same coordinate system, fusing the GNSS and InSAR to obtain land vertical motion parameters, and separating absolute sea level change parameters; and constructing and optimizing an earth crust motion-sea level coupling numerical model based on prior knowledge and the like, and predicting multi-source observation data to obtain a sea level change result. Multi-source data are fused, the influence of land motion is separated, the monitoring precision and coverage are improved, and the influence of natural and human activities on the sea level can be quantified.

An LED illuminated buoy system is disclosed, designed to enhance maritime safety and visibility. The system includes a weighted base with a conical shape for stability and a semi-translucent flotation part that extends above the waterline. The buoy houses an LED light source within the base, programmable for various colors and patterns. A sealing connection between the base and flotation part prevents water ingress. The system also features a communication interface for data transmission and remote operation. The buoy can be anchored securely and is adaptable for use as a lamp on land. The system's design allows for easy assembly and maintenance, with environmental resistance features integrated for durability. The buoy serves as a navigational aid, safety marker, and versatile lighting solution in aquatic environments.

The utility model discloses a furrowing mechanism for dry land corn cultivation, which relates to the technical field of agricultural machinery and comprises a frame, mounting holes are formed in the frame, two hydraulic cylinders are mounted on the frame, a bearing seat is fixedly mounted at the output ends of the two hydraulic cylinders, a crushing pipe and a supporting plate are fixed on the left side of the bearing seat, and the crushing pipe and the supporting plate are fixed on the right side of the bearing seat. A carrying roller is rotationally connected between the front inner wall and the rear inner wall of the bearing base through a bearing, a plurality of ditching blades are fixed to the outer wall of the carrying roller, and a first motor is installed on the front side of the bearing base. Two hydraulic cylinders are utilized to pull a bearing seat to move downwards, the ditching depth of a first motor to drive a plurality of ditching blades on a lower loading roller to dry land can be changed, soil dug by the ditching blades can be conveyed into a crushing pipe by means of a conveying assembly, the crushing assembly can cut soil blocks, so that the soil blocks become loose, and the soil blocks are crushed. And then the furrowing soil can be dispersed and guided out from the bottom of the crushing pipe along the shunting block, so that the furrowing soil is dispersed on the two sides of the furrow, and the position of the furrow is better highlighted.

The invention relates to the technical field of agricultural machinery, in particular to a self-propelled multifunctional dry land leveler and an operation method, and the self-propelled multifunctional dry land leveler comprises a machine body, a tillage component, a soil taking component, a conveying component, a stock bin, a soil discharging component, a land leveling device and the like. The tilling part is arranged at the front end of the land leveler, so that the tilling depth can be controlled according to elevation data; the soil taking component and the conveying component are arranged, so that surface soil after cultivation can be collected to the feeding end of the conveying component, and the soil is further conveyed to the stock bin through the conveying component; a soil discharging part is arranged, and soil in the stock bin can be evenly spread to the ground lower than the datum plane according to elevation data; the rear end of the machine tool is also hooked / dragged with the leveling equipment, and the final leveling operation process can be realized according to the elevation data.

The invention discloses a dry land corn variable rate fertilizer applicator, and relates to the technical field of corn fertilization, the dry land corn variable rate fertilizer applicator comprises a material box and a strip-shaped cross frame which are fixedly installed on a vehicle body, a plurality of supporting frames are fixedly installed on the strip-shaped cross frame at equal intervals, and each supporting frame is provided with a fertilizer application barrel through a position regulation and control assembly; an elastic discharging pipe is fixedly communicated between the material box and the corresponding fertilizing barrel; each supporting frame is provided with a pit digging and soil taking component through a vertical position adjusting component, and each supporting frame is provided with a soil conveying component matched with the fertilizing barrel. The corn fertilizing device has the advantages that corn can be accurately fertilized, meanwhile, soil generated by digging a pit is divided into two parts, one part is directly mixed with fertilizer and applied into the pit in advance, then the other part is covered with soil, and the corn can be more effectively and accurately fertilized.

The invention relates to the technical field of underground water state evaluation, and discloses an underground water level dynamic evaluation method based on multi-source data mapping and fluid model correction. The invention aims to solve the technical problems of insufficient underground water level monitoring precision and lack of space details caused by low spatial resolution of existing satellite gravity detection data and difficulty in accurately separating a deep underground water change signal from a land total water reserve signal. According to the method, through space-time reference unification of multi-source heterogeneous data, high-resolution surface texture features are utilized to guide a low-resolution gravitational field to carry out space downscaling reconstruction; surface water body and soil water reserve signals are removed layer by layer in combination with spectral characteristics and a thermal inertia principle; and introducing measured data to construct a spatial error correction curved surface of specific yield parameters, and identifying the underground water funnel by using an image connected domain analysis technology.