179 results about "Soil salinity" patented technology

The invention discloses a land degradation supervision method based on remote sensing monitoring, and relates to the technical field of land degradation monitoring. The method is used for solving the problems of hidden degradation risk identification and dynamic propagation simulation. According to a multi-temporal thermal infrared remote sensing image, daily variation characteristics of surface temperature are extracted through spectral analysis, a recessive salinization risk distribution map is constructed by combining measured data of soil salinity, and interference of vegetation coverage is overcome. And multi-source remote sensing and geographic data are fused, dominant driving factors significantly associated with the salting risk are screened, and the degeneration cause is clarified. And in combination with ecological restoration potential and treatment resource constraints, calculating an antagonism index of a driving factor and the restoration potential, and dividing degradation threat levels. And a natural hydrology and human activity dual-path propagation model is constructed, a risk space-time evolution process is simulated, and a future hotspot migration path and an optimal blocking window are predicted. According to the method, accurate early warning and active prevention and control of land degradation are realized through a technical chain of risk identification, driving analysis, threat grading and dynamic simulation.

The invention discloses a layered alternate fertilization method suitable for saline-alkali soil improvement. The method comprises the following steps: determining the soil salinization degree and the main salt ion type of target saline-alkali soil; the method comprises the following steps: designing a layered fertilization scheme according to the soil salinization degree, the main salt ion type and the growth demand and salt tolerance of a target crop, and determining the fertilization types, fertilization amounts and fertilization depths of different soil layers; formulating an alternate fertilization strategy, and determining fertilization periods and the sequence and interval time of fertilization of different soil layers in each period; fertilization operation is carried out on the target saline-alkali soil according to a layered fertilization scheme and an alternate fertilization strategy, the dynamic change of soil salinity and the growth condition of target crops are monitored in the fertilization process, and the follow-up fertilization scheme and strategy are adjusted in time according to the monitoring result. Soil conditions are determined, a layered fertilization scheme is designed, an alternate fertilization strategy is formulated, fertilization operation is adjusted according to monitoring results, and the purposes of improving saline-alkali soil and meeting the growth requirements of target crops are achieved.

The invention relates to the technical field of ecological environment monitoring, and particularly discloses a system and a method for monitoring distribution of plant communities along an expressway. An unmanned aerial vehicle carries a hyperspectral imager and a multi-parameter sensor to synchronously obtain vegetation spectral data and environmental parameters of soil salinity, water content, pH value, temperature and humidity; constructing a multi-dimensional data set with space-time matching; an improved end member extraction algorithm is combined with a soil salinity threshold triggering mechanism to realize self-adaptive updating of a dynamic end member library; an environmental constraint adversarial generative network is introduced, virtual end members conforming to ecological characteristics are generated and verified, and the coverage capability of an end member library is improved; performing physiological and ecological dual verification on the end members based on the knowledge graph to form an optimized end member set; and an environmental adaptability weight is introduced in the unmixing process, confidence evaluation and fuzzy logic analysis are combined, a graded credibility vegetation map is output, and accurate identification and spatial positioning of invasive plants and local vegetation are realized.

The invention discloses a soil salinity inversion method, system and device based on multi-mode remote sensing data fusion and a storage medium, and is applied to the technical field of soil quality monitoring, and the method comprises the steps: obtaining radar and optical remote sensing data of a to-be-inverted region of soil salinity, and carrying out the conductivity measurement, and taking the obtained data as an inversion index of the soil salinity; obtaining multi-modal remote sensing features based on radar and optical remote sensing data fusion, optimizing a remote sensing feature combination by combining the radar and optical remote sensing data and based on a random forest algorithm and utilizing a recursive feature elimination method, and performing model performance evaluation on the remote sensing feature combination by adopting cross validation to obtain an optimal remote sensing feature combination; and based on the optimal remote sensing feature combination, constructing and training a soil conductivity prediction model based on a random forest algorithm, and inputting to-be-measured data to the conductivity prediction model after hyper-parameter adjustment to complete soil salinity inversion. According to the method, more accurate inversion of the soil salinity under the interaction influence of a complex environment and human factors is realized.

The invention discloses a coastal wetland vegetation degradation dynamic monitoring method based on multi-modal transfer learning, and belongs to the technical field of ecological environment monitoring, and the method comprises the steps: data acquisition: collecting coastal wetland region data through a plurality of sensors, feature extraction and fusion: preprocessing multi-source data, extracting space, time series and physical parameter features, and carrying out feature fusion; and fusing the data features of different modalities. According to the method, all-around and high-precision perception of the coastal wetland ecological environment is realized, the spatial-temporal resolution of data acquisition is improved, the response capability to complex environmental factors is enhanced, the generalization capability and prediction precision of the model are effectively improved, key environmental factors such as soil salinity can be incorporated into an evaluation system, and the evaluation accuracy is improved. The scientificity and pertinence of ecological risk identification are further improved, the efficiency and response speed of coastal wetland ecological management are improved, and powerful support is provided for formulating scientific and reasonable ecological protection and restoration measures.

The invention relates to the technical field of saline-alkali soil improvement. The invention provides an extremely severe saline-alkali soil improvement method which comprises the following steps: (1) ploughing soil to be improved, ditching, and spreading a material A into ditches; (2) irrigation is carried out after crops are sown in the ditches, and field management is carried out in the crop growth period; (3) after crops are harvested, crop straw is smashed and subjected to rotary tillage into soil; and (4) repeating the steps (1)-(3), and carrying out continuous soil improvement treatment. According to the technical scheme, the soil structure and the microbial environment are improved through soil preparation and fertilization before sowing, the salt content of soil of a plough layer is reduced through a salt reducing measure, soil osmotic pressure is reduced, and the salt content of the soil is continuously reduced through a crop planting measure. According to the scheme, the soil saline-alkali improvement effect is good, a good soil environment is created for seed budding and seedling emergence stages, and the seed emergence rate is increased.

The invention relates to the technical field of remote sensing monitoring, solves the technical problems that an existing soil salinity inversion method is insufficient in precision and poor in generalization ability, and particularly relates to a bare soil salinity inversion method fusing partial least squares and a random forest. Comprising the following steps: acquiring spectral reflectivity data and salinity spectral index of a multiband range and spatial resolution, and preprocessing to establish a digital orthoimage; removing a water body and a vegetation coverage area in the digital orthoimage by using a normalized vegetation index to obtain bare soil data containing 24-dimensional feature variables; establishing a fusion model and carrying out training evaluation; and performing prediction by taking Sentinel-2 satellite remote sensing data as input of the fusion model to obtain the salt content of the bare soil. According to the method, the precision, reliability and generalization ability of soil salinity inversion can be effectively improved, compared with a traditional single model, the nonlinear relation and noise in remote sensing data can be better processed, and the generalization ability of salinity inversion is remarkably improved.

The invention discloses an intelligent control method and system for saline-alkali soil slow-release fertilizer application, and the method comprises the steps: analyzing the space-time trend of soil salinity change and pH dynamic change through a convolutional neural network, judging the matching demand of the fertilizer release rate, and generating a target release curve; the method comprises the following steps: extracting a high-activity strain adapting to a high-salt environment from a salt-tolerant microbial library through a high-throughput screening algorithm, and determining optimal release time interval distribution of strain function activation by combining with the release characteristic of a dynamic release coated fertilizer; if the soil salinity change exceeds a preset threshold value, sensor monitoring data and a target release curve are integrated through a closed-loop control system, and an optimized fertilization amount scheme is obtained; a deep learning model is adopted to analyze the relation between the optimized fertilization amount scheme and soil deep salt distribution, the parameter requirement of depth accurate regulation and control is judged, and a layered fertilization depth control strategy is generated. Through real-time feedback and optimization iteration, accurate improvement and sustainable nutrient management of the saline-alkali soil are realized.

The invention provides a saline-alkali soil underground water regulation and control method and device, electronic equipment and a storage medium, and relates to the technical field of land governance. Inputting the first historical monitoring information into a pre-constructed prediction model to obtain a predicted value of soil salinity in a future time period; the predicted value of the soil salinity is input into the analysis model, and the target water level of underground water in the future time period is obtained; wherein the target water level of the underground water is used for restraining the target value of the soil salinity to be smaller than a preset salinity threshold value and the target value of the soil humidity to be larger than a preset humidity threshold value; generating a water level adjusting strategy based on the target water level of the underground water, and controlling the opening or closing of the water pump based on the water level adjusting strategy. According to the method, the soil salinity in the future time period is predicted by acquiring the saline-alkali soil monitoring information, so that the target water level of the underground water is obtained, the water level regulation strategy is generated, and the perspectiveness, dynamic nature and stability of underground water level regulation are ensured.

The invention discloses a coastal mud flat soil salinity assessment method. The method comprises the following steps: step 1, acquiring a multi-source satellite image of a to-be-assessed area and salinity data of sampling points; step 2, carrying out correlation analysis on the salinity data of the sampling points and the corresponding multi-spectral wave band reflectivity, and screening out sensitive wave bands; 3, constructing a plurality of spectral indexes, performing correlation analysis on the plurality of spectral indexes and the salinity data of the sampling points, and selecting the spectral index with the highest correlation degree as an optimal spectral index; 4, constructing an inversion model, taking the optimal spectral index as the input of the inversion model, and taking the salinity data of the sampling points as the output of the inversion model; and 5, performing real-time evaluation on the salinity of the mud flat soil by using the trained inversion model through a real-time multi-source satellite image. Through multi-source data fusion, novel spectral index construction and an optimized model construction mode, high-precision inversion and real-time evaluation of coastal mud flat soil salinity are realized.

The invention relates to a special fertilizer suitable for saline-alkali soil and a preparation method thereof. The fertilizer is granular and has a multi-layer structure which is sequentially arranged from inside to outside: a nutrition core layer, a controlled release film layer, a soil improvement fast exchange layer and a microorganism attaching layer. The nutrition core layer contains nitrogen, phosphorus, potassium and medium trace elements, and meets the basic nutrient requirements of crops; the controlled release film layer is self-assembled layer by layer by adopting alginate / chitosan, a humic acid-ferrous complex and a breakable cross-linking point are inserted into the film, and starch is sprayed on the outer layer, so that an ionic strength / alkalinity dual-response controlled release system is formed; the soil improvement quick exchange layer contains microcrystalline gypsum and ferrous sulfate; the microbial epiphytic layer fixes salt-tolerant phosphate solubilizing bacteria, potassium bacteria and exopolysaccharide-producing bacillus by using a charcoal-zeolite carrier, and the bacteria are distributed on the surfaces of the particles in a dotted manner. The fertilizer realizes organic combination of soil improvement, fertilizer supply and microbial regulation and control, can significantly reduce the soil salinity and alkalinity in a saline-alkali soil environment, and improves the fertilizer utilization rate and the crop growth performance.

The invention relates to the technical field of soil drainage and salt improvement, in particular to a coastal saline-alkali soil drainage and salt improvement intelligent regulation and control method and system based on artificial intelligence, and the method specifically comprises the following steps: dividing treatment units, arranging sensing equipment, and collecting multi-source heterogeneous data to form a data set; after data cleaning and time-space synchronization are conducted, standardized feature vectors are obtained through sectional physical perception standardization processing; constructing a graph neural network micro-area irrigation volume demand prediction model, and predicting recommended irrigation volume and soil salinity variation; calculating a loss function of the model and performing iterative training on the model; and performing periodic decision regulation and control circulation on the trained model, converting the output of the multi-source heterogeneous data collected at each decision moment through the model into an instruction, issuing the instruction, and synchronously performing drainage regulation and control. According to the invention, water-salt environment optimization regulation and control can be realized, and an intelligent treatment closed loop is formed.

The embodiment of the invention discloses an unmanned aerial vehicle image-based hexagonal grid unit soil salinity assessment method, which comprises the following steps: acquiring multispectral images of a cotton field to be assessed through an unmanned aerial vehicle, including a red light image, a green light image, a blue light image and a near-infrared image; dividing a plurality of to-be-evaluated regular hexagon evaluation units according to the to-be-evaluated cotton field multispectral image; training a cotton field soil salinity evaluation model; and performing soil salinity evaluation on each to-be-evaluated regular hexagonal evaluation unit by adopting the trained cotton field soil salinity evaluation model. Compared with the prior art, the invention provides a method for calculating and evaluating the soil salinity by using an unmanned aerial vehicle image and a regular hexagon evaluation unit, and more image features related to the soil salinity strength can be captured, such as the area ratio of crops in the unit, the physiological and ecological indexes of the crops in the unit and the salt spot condition around the unit. More features are more beneficial to accurate evaluation of soil salinity, irrigation can be optimized, and the cotton yield can be increased.

The invention discloses a restoration method for improving salinized grassland, and relates to the technical field of ecological environment restoration. Physically, a laser land leveling instrument is combined with topographic surveying and mapping to control the land flatness, and an intelligent irrigation and drainage system is constructed; chemically, a novel composite modifier is prepared to regulate soil; biologically, saline-alkaline tolerant grass seeds are treated to construct communities, and microbial agents are applied. And meanwhile, a monitoring network is constructed for precise monitoring and regulation, the cost is reduced by utilizing agricultural wastes and local materials, and sustainable development is realized. The method can effectively reduce the soil salinity, adjust the pH value, improve the vegetation coverage rate, increase the number of soil organic matters and microorganisms, and realize saline-alkali grassland soil improvement, vegetation recovery and ecological sustainable development.

The invention relates to the field of soil improvement, in particular to a saline-alkali soil improvement method which comprises the specific steps of deep ploughing and crushing, drainage system building and pesticide spreading, high-molecular polymer application and microbial agent inoculation. Good soil conditions are created through a physical improvement method, the soil salinity and alkalinity are rapidly reduced through a chemical improvement method, the salt-tolerant microbial agent can decompose organic matter, improve soil micro-ecology, reduce salinity toxicity and promote plant growth, and the saline-alkali soil improvement efficiency and effect are remarkably improved through mutual cooperation of the three methods; the method reduces the excessive use of chemical substances in a single chemical improvement method, realizes the ecological restoration of the saline-alkali soil through a physical method, a chemical method and a microbiological method, reduces the negative influence on the environment, improves the sustainability of improvement, effectively improves the soil structure and the ecological environment, provides good conditions for plant growth, and realizes the efficient utilization of the saline-alkali soil.

The invention belongs to the technical field of transformer substation grounding grid monitoring, and discloses a transformer substation main grounding grid real-time safety monitoring system based on multi-sensor fusion, which adopts a MySQL and InfluxDB mixed architecture through a dynamic association database module, and stores static data such as transformer substation position, grounding grid material and the like, and dynamic data such as soil parameters, corrosion rate and the like respectively; meanwhile, a soil parameter and sampling frequency dynamic mapping table is built in, and when it is recognized that the soil salinity is larger than 15 mS / cm or the pH is smaller than 5.5, a sampling frequency adjusting instruction can be sent to the sensor array module, and the automatic soil sample collecting device is started; the module also establishes a material corrosion digital twinborn model and a climate partition library, provides scene data for the scheme dynamic adaptation and operation and maintenance module, enables the scheme dynamic adaptation and operation and maintenance module to output an adaptive scene corrosion prevention scheme, calculates a grounding electrode replacement period according to a corrosion rate, constructs a dynamic association between a soil working condition and corrosion protection, and effectively improves the durability of a grounding grid.

The invention belongs to the technical field of saline-alkali soil restoration, and particularly relates to a medium element fertilizer for saline-alkali soil improvement and a preparation method thereof. According to the invention, calcium superphosphate in the fertilizer can provide a phosphorus source required by crop growth and can release Ca < 2 + > to replace Na < + >, and the complexing agent can chelate Cl <-> and SO4 < 2-> to synergistically reduce soil salinity; wherein the nitrogen source, the potassium source and the magnesium source can provide nitrogen, potassium and magnesium required by plant growth, and manganese, silicon and calcium elements in the pretreated electrolytic manganese residues enhance the salt resistance of crops; through the synergistic effect of all the components, the finally obtained fertilizer can synchronously realize saline-alkali soil desalination, pH value reduction and organic matter and nutrient supply improvement, so that plant growth is promoted.

The invention belongs to the technical field of fertilizers, and particularly relates to a fertilizer composition containing ascophyllum nodosum extract. The invention discloses a fertilizer composition containing ascophyllum nodosum extract, the core component of the fertilizer composition is composed of the ascophyllum nodosum extract and fulvic acid, the mass ratio of the ascophyllum nodosum extract to the fulvic acid is (1-40): (1-20), and the ascophyllum nodosum extract and the fulvic acid have a synergistic effect. Field test results show that the fertilizer containing the ascophyllum nodosum extract and fulvic acid has the effects of promoting plant growth and increasing yield, and has the effect of reducing soil salinity and alkalinity. The invention provides a new technical path for saline-alkali soil improvement and plant growth promotion.

The invention relates to the technical field of soil detection, in particular to a soil salinity and alkalinity degree detection method and a soil salinity and alkalinity degree detection system applied to anti-corrosion operation of a grounding grid. Acquiring at least two groups of soil physicochemical data information and at least two groups of environment state data information of the area where the grounding grid is located; performing multi-channel data feature processing on the at least two groups of soil physical and chemical data information to obtain a first soil corrosion influence feature set; performing fluctuation analysis on the at least two groups of environment state data information to obtain a correction factor set; performing feature correction on the first soil corrosion influence feature set based on the correction factor set to obtain a second soil corrosion influence feature set; inputting the second soil corrosion influence feature set into a preset soil corrosion prediction model to obtain a soil corrosion degree index; various factors are comprehensively considered, and the accuracy of corrosion prediction and the effectiveness of anti-corrosion measures are improved.

The invention discloses a comprehensive evaluation method for saline-alkaline tolerance of medicago sativa, and relates to the technical field of plant saline-alkaline tolerance testing, by integrating soil salinity S and soil permeability P in a soil environment data set SED and actual salinity accumulation rate Rac and leaf moisture content W of a root system and a leaf in a growth and salinity accumulation data set PGSA, the saline-alkaline tolerance of the medicago sativa is evaluated, and the saline-alkaline tolerance of the medicago sativa is evaluated. Scientific evaluation is provided for the adaptability of medicago sativa in saline-alkali soil, the saline-alkaline tolerance score T of medicago sativa is made by predicting the salinity accumulation rate Rpr, then the saline-alkaline tolerance score T is compared with a preset saline-alkaline tolerance evaluation threshold value Tth, the adaptability of plants is judged, and targeted intervention suggestions are given according to the comparison result. According to the method, the actual planting data and the plant growth data of the medicago sativa after intervention are collected, the fluctuation trend of the data is analyzed, and the salt accumulation model is further iteratively optimized, so that the prediction accuracy and adaptability of the model are continuously improved.

The invention provides a modified charcoal-based slow-release rare earth lanthanum soil conditioner and a preparation method thereof, and relates to the technical field of soil conditioners, the saline-alkali soil conditioner is used for reducing soil salinity and alkalinity, fixing heavy metals in soil, improving soil structure and slowly releasing rare earth elements into soil; the preparation method comprises the following steps: 1, preparing a rare earth lanthanum compound; modifying the biochar; a phosphate; dewatering the river sludge; an organic complexing agent; step 2, dissolving a rare earth lanthanum compound and an organic complexing agent in deionized water, and reacting to generate a complex solution; step 3, preparing modified biological carbon; step 4, loading lanthanum; and step 5, mixing the matrix to obtain the saline-alkali soil conditioner. Lanthanum nitrate and sodium citrate are converted into a complex solution, the lanthanum citrate complex has good stability, lanthanum can be effectively fixed in the solution in the form of the complex, the lanthanum is prevented from precipitating or losing in the subsequent treatment process, and the slow release effect of lanthanum is achieved.

The invention discloses a saline-alkali soil water-salt-fertilizer real-time monitoring system and method based on the Internet of Things, and relates to the technical field of saline-alkali soil monitoring. Multi-parameter sensor nodes are arranged in a preset area to collect soil salinity, moisture, conductivity, pH value and ground temperature information; acquiring a remote sensing image, terrain elevation and land utilization type data, and performing preprocessing and spatial registration; based on the spatial position relation, the hydrological connectivity and the irrigation and drainage structure, establishing a spatial graph structure required by graph neural network input; deploying a model on the constructed graph, and predicting the future salinity trend or saline-alkali risk grade of each monitoring unit; utilizing adjacent node features and an edge weight propagation mechanism to realize prediction extrapolation of a data sparse region; based on a prediction result and an agronomic rule, generating a multi-objective optimization regulation and control scheme through an evolutionary strategy algorithm; and displaying the prediction map, the risk map and the regulation and control suggestions, and triggering early warning and control linkage when the threshold value exceeds the limit.

The invention discloses a coastal saline-alkali soil infiltration calculation method based on a temperature tracing method. Acquiring data such as soil temperature data, soil water content data, water level data and soil property parameters of different soil layers; aiming at the target depth, establishing a heat transfer model considering the soil salinity, estimating initial heat parameters of the model and determining boundary conditions; discretizing the model domain by using a finite difference format, determining a total simulation period, dividing stress periods, and discretizing each stress period into a plurality of time nodes; predicting the temperature and the water content of the target depth, and establishing a loss function by minimizing the residual sum of squares of the measured value and the calculated value of the temperature; iteratively correcting the heat conductivity coefficient and the water flux in each stress period by adopting a self-adaptive optimization algorithm; the optimization parameter of the previous stress period is used as the initial condition of the subsequent period, and full-period recursive calculation is achieved; finally, the water flux of the target depth is obtained through convergence criteria and serves as quantitative characterization of the soil infiltration rate.

The invention belongs to the technical field of fertilizers, and particularly relates to a fertilizer composition containing bacillus velezensis. The invention discloses a fertilizer composition containing bacillus velezensis, the core component of the fertilizer composition is composed of a fermentation broth of bacillus velezensis CGMCC No.14384 and calcium lignosulphonate, the mass ratio of the fermentation broth of the bacillus velezensis CGMCC No.14384 with the bacterial concentration of 108cfu / mL to the calcium lignosulphonate is 0.5-20: 1-15, and the fertilizer composition has a synergistic effect on plant growth promotion. Field test results show that the fertilizer containing the composition of the fermentation liquor of the bacillus velezensis CGMCC No.14384 and the calcium lignosulphonate has obvious saline-alkali reducing effect and plant growth promoting effect, and can be applied to saline-alkali soil improvement and plant growth promoting.

The invention discloses a calcium-enriched rice straw biochar core-shell particle soil conditioner, which belongs to the technical field of soil improvement and farmland water environment governance, and comprises the following components: a calcium-enriched rice straw biochar core, desulfurized gypsum, a binder and a functional auxiliary agent, the binder is selected from one or more of starch, lignosulfonate, sodium carboxymethyl cellulose and sodium alginate; the functional additive is selected from one or more of humic acid, trace element fertilizer and organic fertilizer; through the comprehensive design on the material structure, the Ca < 2 + > slow release mechanism and the application system, calcium and sodium replacement and soil salinity and alkalinity reduction, flocculation and sedimentation of soil colloid in an alkaline environment, blocking and weakening of a soil-water interface colloid pollution channel and continuous improvement of the soil structure and fertility are synergistically realized.

The embodiment of the present invention discloses a method, device, system and storage medium for constructing a soil salinity monitoring model. The method includes: S1: obtaining a soil environment dataset {x} and a soil salinity measured dataset {y} in a preset area, and using the soil environment dataset {x} and the soil salinity measured dataset {y} as an initial dataset {x, y}, wherein the soil environment dataset {x} includes meteorological data, soil attribute data, groundwater level data, vegetation cover data and remote sensing data; S2: performing data processing on the initial dataset {x, y} according to a preset method to obtain training samples; S3: using the training samples to train a machine learning model to obtain a soil salinity monitoring model. By calculating a random soil salinity dataset {y} containing a sufficient amount of data, 产生} and soil environment random data set {x 产生} as training samples, and then use the training samples to perform neural network fitting and various machine data learning fitting to obtain the soil salinity monitoring model.

The invention relates to the field of fertilizer water returning, and discloses an organic fertilizer water real-time nitrogen adjustment and salt control multi-layer drip irrigation system and method, the layered drip irrigation system comprises a fertilizer preparation module, an irrigation distribution module, a data monitoring module, an irrigation water module and a control module; the layered drip irrigation method comprises the following steps: irrigating the earth surface in a seedling stage; fertilizer preparation; performing dilution; crop growth period bottom layer drip irrigation; diluting and adjusting; the nutrient measuring and calculating method comprises the following steps: determining the demand quantity of crop nutrients nitrogen, phosphorus and potassium; the crop nutrient nitrogen, phosphorus and potassium demands are met; generating a dynamic fertilizer preparation scheme; calculating the supplementary irrigation amount and the irrigation quota; the total irrigation amount is generated. According to the method, the total nitrogen content change of the organic fertilizer water and the content change of available nitrogen in the soil are fully considered during stage-by-stage fertilization calculation, the soil salinity is adopted as a reference index, the irrigation water consumption of the organic fertilizer water is measured, and the soil salinization problem of organic fertilizer water recycling in the prior art is solved.

The application discloses a kind of saline-alkali resistant kandelia candel tree breeding soil salt content detection adjusting equipment, it is related to kandelia candel tree breeding technical field, it solves equipment when using, it cannot be automatically adjusted according to salt content, and when soil is watered to adjust salt content, it is usually watered to soil outside, moisture is difficult to soak to inner layer, leading to the adjustment of soil salt content has error, and device is difficult to use in combination, and the problem of large space occupation.A kind of saline-alkali resistant kandelia candel tree breeding soil salt content detection adjusting equipment, including breeding component, the rear side of the breeding component is equipped with adjusting component, the both sides of the adjusting component are respectively equipped with fresh water tank and salt water tank.The application is cooperated by flow pipe and mounting framework, so that water is directly discharged into the soil inside through the flow pipe, then sprayed outward through the spray head and enters the soil inside through the surface of the filter screen, so that the device can directly spray water inside the soil to prevent the situation that water does not penetrate into the soil inside.

This utility model discloses a saline-alkali land structure with cyclic salt flushing and multi-layer synergistic desalination functions. It includes an ecological cover layer on the surface, beneath which are sequentially arranged a slow-release conditioning layer, a salt-blocking isolation layer, and a salt-draining layer. The salt-draining layer contains several porous salt-draining conduits, which are connected to an underground collection well via a collection and drainage device. It also includes a water return system, one end of which is connected to the collection and drainage device in the collection well, and the other end returns the water to the ecological cover layer, slow-release conditioning layer, salt-blocking isolation layer, and salt-draining layer. This application achieves systematic management of soil salinity migration, dispersion, isolation, and removal through the synergistic interaction of multiple layers of functions, including ecological cover, slow-release conditioning, physical barrier, and salt-draining. This effectively overcomes the drawbacks of traditional single-method improvement methods, such as low desalination efficiency and frequent salt return.

The invention provides a soil salinity inversion method based on polarization restoration and active and passive hedging. The method comprises the following steps: S1, constructing a normalized polarization difference rate reflecting earth surface electromagnetic radiation anisotropy and a space gradient factor reflecting earth surface space heterogeneity; constructing a polarization driving factor representing the land surface composite extinction capability; s2, constructing a dynamic coupling coherent compensation operator; performing energy compensation repair on the initial reflectivity, and analyzing to obtain corrected reflectivity; s3, converting the corrected reflectivity into a total dielectric constant modulus representing the comprehensive polarization intensity of the soil medium; s4, analyzing the real part of the dielectric constant; extracting a dielectric constant imaginary part; and S5, converting the imaginary part of the dielectric constant into the salt content of the soil. The invention also correspondingly provides a soil salinity inversion system based on polarization restoration and active and passive hedging. According to the method, high-precision and strong-generalization soil salinity quantitative inversion without external prior data constraint is realized.