364 results about "Dry land" patented technology

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 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 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 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 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 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 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.

The invention belongs to the technical field of navigation and positioning, particularly discloses a sea-land fusion navigation pose resolving method and system, and aims to solve the problems of positioning failure, model mismatch and the like of traditional navigation in a cross-medium environment. The method comprises the following steps: acquiring multi-source sensor data of an inertial measurement unit, a satellite system and the like; extracting surface texture and underwater topographic information from the surface texture and underwater topographic information, and generating perception features containing land, water areas or transition areas; determining a dynamic fusion strategy to generate adaptive parameters, and selecting a matched dynamic error model; and weighting fusion data to obtain an initial pose, and outputting a final result through error model compensation. The system comprises a data acquisition module, an environment characteristic generation module and the like, realizes environment adaptive switching, improves navigation continuity, robustness and precision, and is suitable for complex operation scenes of amphibious robots.

The invention discloses a river and lake dike long time sequence vertical settlement monitoring method comprising the following steps: carrying out data preprocessing on long time sequence satellite SAR data to obtain VV and VH data or HH and HV data in a dike protection range; extracting a water body, calculating the frequency of the target area monitored as the water body, and performing permanent surface water and other surface features distinguishing on the frequency by setting a specified distinguishing value to generate a land mask; classifying VV or HH single-polarized data of different data sources and satellite incidence angles, and then extracting the vertical settlement of a dike range mask area by adopting a time sequence InSAR method based on a high-resolution DEM and stable ground actual measurement points or PS points with small settlement; correlation analysis is carried out, vertical settlement data which meet correlation conditions and are obtained based on different data sources and satellite incidence angles are fused, and vertical settlement information of the dike is obtained. According to the invention, the vertical settlement data in the river and lake dike management range can be efficiently and accurately obtained.

The invention discloses an SAR sea surface rainfall detection method based on deep learning, and relates to the technical field of satellite remote sensing image processing. SAR images are screened by matching with GPM rainfall data, preprocessing such as geographical calibration, radiometric calibration, down-sampling and land masking is carried out on the images, the images are cut to obtain a training set, and enhancement is carried out after labeling and data set division. And inputting the training set into a target detection model based on a convolutional neural network or Transform for training, increasing a multi-scale detection head and an attention mechanism module to improve the detection precision, and finally inputting a to-be-detected SAR image into the model and outputting a rainfall area. The precision, the automation degree and the real-time performance of sea surface rainfall area detection can be improved, and the defects of a traditional method are overcome.

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 provides a method for preventing and controlling nitrogen and phosphorus loss of sandy and dry cultivated land based on EICP root reinforcement and relates to the field of soil ecological protection and agricultural pollution prevention and control. According to the method, a three-dimensional prevention and control system is formed from the two dimensions of surface layer film covering protection and deep root system soil fixation through the synergistic effect of EICP film covering and local plant root system three-dimensional reinforcement, wind erosion and water erosion are effectively resisted, the soil nitrogen and phosphorus loss rate of the large-gradient sandy and dry cultivated land is remarkably reduced, and meanwhile the soil desertification process is slowed down; the EICP film covering layer has good water permeability and moisture retention, nitrogen and phosphorus loss can be prevented, rainfall infiltration and soil moisture conservation can be guaranteed, and the germination rate and the growth speed of crops are increased; according to the method, local crop root system reinforcement is selected, the original planting structure is not disturbed, the economic benefit of cultivated land yield per mu is guaranteed, a harmless means of combining microorganisms, geotechnical engineering and agricultural planting is adopted, external pollution sources are not introduced, original basic characteristics of soil are not damaged, and the requirement for ecological protection of the Yellow River basin is met.

The invention belongs to the technical field of space geodetic survey observation data inversion regional land water reserve change, and provides a method and related equipment for inversion of land water reserves based on a Slepian basis function combined with GNSS three-dimensional deformation, and the method comprises the steps: obtaining vertical and horizontal deformation observation values of GNSS through simulation; determining a Slepian primary function of the target area according to the boundary data and a preset maximum expansion order, and further determining a function relationship between a Slepian coefficient of GNSS three-dimensional deformation and a Slepian coefficient driven by mass load change; determining an observation equation according to the function relationship, and resolving the observation equation by adopting least square joint adjustment; and according to the Slepian coefficient driven by the mass load change, carrying out inversion on the regional land water reserves of the target region to obtain a regional land water reserve change result. The method has the beneficial effect that the precision and efficiency of regional land water reserve inversion are improved.

The invention discloses a marine geomagnetic diurnal variation station, which comprises a pressure-resistant sealed cabin, a proton precession magnetometer system for measuring the intensity of a geomagnetic field, a power supply system integrated in the pressure-resistant sealed cabin, a positioning and time synchronization module, an environment monitoring unit and the like, and is characterized in that the pressure-resistant sealed cabin is of a glass floating ball structure, and the interior of the pressure-resistant sealed cabin is divided into an upper part and a lower part; the power supply system comprises a plurality of lithium iron phosphate batteries, and the host unit comprises a CPU board, a simulation board and the like, and is further provided with a deck control unit and the like. The geomagnetic field intensity can be accurately measured, interference is reduced through the watertight cable structure, position information and time calibration can be provided, the internal state of the cabin can be monitored, parameter configuration, data export and other functions can be achieved, the device can work well on the land and in the deep sea, and the alarm can be triggered when abnormity occurs.

The invention relates to the technical field of agricultural resources and environment, and particularly discloses a rapid fertilization improvement method for newly-reclaimed red soil dry land. The method systematically integrates the core steps of soil diagnosis aluminum toxicity passivation, composite conditioner deacidification, two-stage deep ploughing, organic and inorganic biological synergistic fertilization, soil moisture content regulation and control, earth surface covering, green manure planting and returning to the field and the like. The applied composition comprises a soil composite conditioner, a charcoal-based organic fertilizer and a specific functional microbial agent, wherein the soil composite conditioner comprises modified oyster shell powder, a calcium magnesium phosphate fertilizer, humic acid, polyglutamic acid and the like. The method relates to key processes such as temperature programming calcination modification of raw materials, co-pyrolysis and composite granulation of the materials and the like. The method can synchronously and quickly improve the chemical and biological properties of soil and optimize the physical structure of a plough layer, and has the advantages of high improvement targeting, synergistic interaction of all steps, high fertilizing speed and lasting effect; in addition, the method has the advantages of being coherent in process, high in resource utilization efficiency and easy to implement on a large scale.

The utility model relates to an optimization device convenient for dry land soil ammonia volatilization collection. The optimization device convenient for dry land soil ammonia volatilization collection comprises a collection base, a gas collection pipe and a rain shielding roof, the inner diameter of the collecting base is matched with the outer diameter of the gas collecting pipe, the gas collecting pipe is installed on the upper side of the collecting base, a sponge support is arranged in the gas collecting pipe, a sponge soaked with phosphoglycerol is arranged on the sponge support, a vent hole is formed in the top of the side wall of the gas collecting pipe, and a rain shielding top is arranged above the gas collecting pipe. A limiting horizontal outer ring is arranged on the outer side of the top of the collecting base. According to the invention, sampling can be completed quickly and conveniently, the sampling accuracy is ensured, the operation difficulty and test errors caused by human factors are reduced, the monitoring accuracy is increased, the price is low, and operation and carrying are convenient.

The invention discloses an automatic water body extraction method based on a decision tree and a random forest, and relates to the technical field of water body remote sensing monitoring, the method is based on multispectral remote sensing data, through water body index calculation, Hot index calculation and gradient calculation, rough classification results of water bodies, lands and clouds are extracted, and the rough classification results of the water bodies, the lands and the clouds are extracted; random sampling is carried out on the rough classification result to generate training samples of a water body, land and cloud; constructing a feature set containing spectral features, texture features and principal component transformation features; and inputting the training sample and the feature set, training a random forest model, and performing water body classification prediction on the remote sensing image by using the model. According to the method, a simple decision tree and a random forest are combined for water extraction, automatic extraction of samples is realized, automatic recognition of lake water is further realized, the water and shadows are effectively distinguished through gradient features and texture features, cloud and clear sky pixels are accurately separated by utilizing a hot index, the cloud is prevented from polluting training samples, and cloud layer interference is avoided.

The application discloses a land geophysical exploration method, an electronic device and a readable storage medium, and belongs to the technical field of land geophysical exploration. The land geophysical exploration method comprises the following steps: detecting a first seismic wave generated by vibration at a preset position of the underground or the ground and transmitted to the ground; detecting a second seismic wave transmitted by the vibration to the air above the ground; calculating a ground parameter in a set range of the preset position according to the first seismic wave and the second seismic wave; and calculating an underground velocity model and a density model according to the ground parameter. The second seismic wave transmitted to the air from the ground is detected by utilizing the characteristics that the sound speed and the density of the air are consistent under the same meteorological condition, so that the subsequent inversion algorithm is more accurate, and the underground velocity model and the density model are more accurate.

The invention discloses a red soil dry land soil microbial diversity detection method based on multicolor developing test paper, and belongs to the technical field of soil environment microbial detection. According to the method, test paper loaded with different color developing agents is designed, a specific color developing reaction is triggered by combining microbial metabolic activity, and color developing characteristics are converted into parameters such as microbial diversity indexes and dominant species proportions by utilizing an image analysis model. The detection device comprises an image acquisition module and a data analysis module, and quantitative association of color development features and diversity is realized through a machine learning model. Compared with the prior art, the method has the advantages that the cost is extremely low, the detection time is shortened to be within 30 minutes, the method is suitable for field real-time monitoring of the red soil dry land, an efficient, low-cost and portable detection tool is provided for soil health management, and the method is particularly suitable for soil health assessment of resource-limited areas.

The present application relates to the technical field of soil remediation, and discloses a composite microbial inoculum for activating reverse conversion of oxidized iron in dry land soil and application thereof.The composite microbial inoculum comprises aerobic iron-reducing bacteria and phenazine electron shuttles.The present application mediates the aerobic iron-reducing process of the aerobic iron-reducing bacteria strain through the phenazine electron shuttles, significantly improves the electron transfer efficiency, enhances the iron-reducing capacity, and can efficiently generate high-activity weak-crystalline iron oxide under aerobic conditions, thereby breaking through the limitation of traditional iron reduction relying on anaerobic environment;by promoting the reverse conversion of high-crystalline oxidized iron to weak-crystalline oxidized iron, the mineral interface activity is improved, the fixation capacity for Cd, Pb, As and other multi-metals in dry land soil is significantly enhanced, the biological availability thereof is reduced, the biological toxicity and migration risk thereof are greatly weakened, the remediation process is stable, the risk of secondary pollution is low, and the present application has good application prospect and popularization value in the field of heavy metal contaminated soil remediation.

The utility model discloses a dry land microalgae soil amendment spraying device, which relates to the technical field of agricultural machinery and comprises a spraying trolley, a liquid storage tank, a liquid distribution pipe and a cylinder, the liquid distribution pipe and the cylinder are arranged on one side of the top of the spraying trolley, an opening is formed in the middle of the side wall of the liquid distribution pipe, and first filter plates are arranged on two sides of the opening in a cavity of the liquid distribution pipe. The two first filter plates divide the internal space of the liquid separation pipe into a first cavity, a second cavity and a third cavity from top to bottom, the cylinder is located in the second cavity, the top and the bottom of the cylinder are each provided with a second filter plate, and the second filter plates and the first filter plates are each provided with a through hole; a nozzle is arranged on the side wall of the cylinder and located at an opening of the liquid distribution pipe, and the nozzle shakes along with the cylinder. The cylinder shakes up and down to drive the nozzle to shake up and down, so that the probability that particle impurities or viscous substances in the modifier are accumulated at the water inlet end of the nozzle can be reduced, and the probability that the nozzle is blocked is reduced.

The invention discloses an offshore salt mist aerosol monitoring system and method based on a drifting buoy, and relates to the technical field of marine atmospheric environment monitoring, and the method comprises the steps: transmitting the position and time information received by a GNSS receiver to a main control module, and carrying out the resolving of the main control module, and obtaining a preliminary direction; transmitting the data of the attitude measuring instrument to the main control module; the main control module corrects the initial azimuth angle and the elevation angle according to the attitude data, and adjusts the accurate direction of the sun photometer according to the correction result; calculating the optical thickness of the aerosol according to radiation data measured by the sun photometer; the aerosol particle spectrum distribution is inversed according to the aerosol optical thickness; and the main control module performs information interaction on the inverted aerosol particle spectrum distribution and the land through the wireless communication module. The defects of a traditional mode are effectively overcome, and the optical parameters and the dynamic change process of the salt mist aerosol are captured more accurately.

The utility model discloses an agricultural plastic film mulching device and relates to the field of agricultural machinery. The agricultural mulching film mulching device is composed of a frame body, a telescopic frame, a mulching film roll tensioning device, a supporting frame and a U-shaped groove. The telescopic frames are inserted into the bottom beam, the distance between the telescopic frames is adjusted according to the width of the mulching film roll, the mulching film roll is arranged on the conical rotating block in a sleeving mode, and the telescopic frames and the bottom beam are fixed. When the mulching film is covered, one end of the mulching film on the mulching film roll is buried and fixed, and the handle II is manually pulled upwards, so that the film pressing plate moves upwards to break away from extrusion on the mulching film roll; when the device is manually dragged, the frame wheel rotates, and the mulching film roll and the conical rotating block synchronously rotate. When covering is stopped, the handle II is loosened, and the film pressing plate downwards extrudes the mulching film roll through contraction of the spring I, so that the mulching film roll stops rotating. During paddy field operation, the telescopic frame is sleeved with a U-shaped groove. The device is suitable for being used in different scenes of dry land and paddy field.

The application discloses a method for exploring the importance of different factors on soil organic carbon, and comprises the construction of a SWAT-Carbon model and the importance analysis of related variable factors, wherein the construction of the SWAT-Carbon model comprises the generation of a basin based on DEM, the generation of land use data, the generation of soil data, the generation of meteorological data and model running. The importance analysis of the related variable factors adopts a random forest model evaluation, and the random forest model adopts a one-hot vector coding to convert the classification variables into numerical data, which can retain the information and distinguish degree of the type variables. The type variables can be avoided to be sorted or given numerical weight, so as to avoid introducing bias or misunderstanding, and the accuracy and generalization ability of the model can be improved. The exploration method disclosed by the application can comprehensively analyze the influence of various factors on the land and aquatic carbon cycle at the basin scale, and can help us better understand and predict the carbon balance and dynamic change in the basin system under global change.

The invention belongs to the technical field of hydrological monitoring, satellite gravity measurement and navigation positioning crossing, and particularly discloses a method for obtaining land water reserves through Beidou and GRACE combined inversion in a frequency domain, and the method comprises the steps: obtaining Beidou data and GRACE data, and carrying out the preprocessing of the Beidou data and GRACE data; establishing a spherical harmonic function, and performing calculation on the preprocessed Beidou data through the spherical harmonic function to obtain a spherical harmonic coefficient of the earth mass load; establishing a Slepian primary function in the local region, and calculating a hydrological load on the surface of the region; establishing a quantitative relation between the earth surface vertical displacement and the regional surface hydrological load in the Beidou data, and calculating the equivalent water height of a first region; meanwhile, the preprocessed GRACE data are converted into the equivalent water height of a second area through a Slepian basis function; and fusing the equivalent water height of the first region and the equivalent water height of the second region in the frequency domain to obtain a land water reserve change result. According to the invention, the TWS inversion effect can be improved.