311 results about "Ecological safety" patented technology

The invention provides a mine ecological risk prediction method and system based on artificial intelligence, and the method comprises the steps: collecting multi-source ecological monitoring data through a distributed sensor network disposed in a mine region, carrying out the time-space alignment processing to generate a time-space correlation feature set, calling a pre-trained ecological risk prediction model to predict the features, and carrying out the prediction of the features. Generating a risk conduction mode set including a risk propagation path, an initial node, a propagation direction and strength, constructing an ecological risk evolution network based on the risk conduction mode set, and displaying a topological structure and a time sequence dependency relationship of risk nodes, and according to the ecological risk evolution network, generating a risk early warning instruction set containing a risk grade division result and an ecological restoration strategy, and sending the risk early warning instruction set to an ecological management platform, thereby comprehensively and accurately predicting the ecological risk of the mine, providing an effective risk early warning and ecological restoration strategy, and ensuring the ecological safety of the mine.

The invention provides a river water quality parameter supervision method and system based on deep learning. The method comprises the steps of self-calibration multi-source data acquisition, diffusive water quality prediction, extreme water quality parameter simulation, reverse diffusion pollution positioning and water quality parameter intelligent supervision. The invention relates to the technical field of river water quality supervision, in particular to a river water quality parameter supervision method and system based on deep learning. By introducing a graph convolutional neural network and a physical diffusion constraint model, space-time diffusion trend modeling of pollutants in a river channel is realized; constructing an extreme pollution event simulation and attribution mechanism by combining a generative adversarial network and physical verification; further adopting a multi-modal Bayesian inversion model and a graph deconvolution structure to realize accurate source tracing of the pollution source; the system can dynamically sense hydrological changes, construct an adaptive threshold judgment mechanism, realize prediction, tracking and response to pollution risks, and provide efficient and intelligent technical support for river ecological safety management.

The invention discloses a multi-dimensional anti-bird intelligent recognition method and system based on thermal imaging, and relates to the technical field of intelligent monitoring and ecological protection. Multi-modal data is collected through thermal imaging, visible light, millimeter wave radar and a voiceprint sensor, after PTP protocol synchronization and Kalman filtering preprocessing, 3-5-second tracks of birds are predicted by using an LSTM network, and the anti-bird intelligent recognition method and system based on the thermal imaging are obtained. And the cross-modal features are fused through a Transform architecture, so that 95% of classification accuracy is realized. A bird repelling strategy is generated in real time through edge calculation, and the model is updated through cloud federal learning. The system integrates an oil-electric hybrid unmanned aerial vehicle and a ground device, supports dynamic path planning based on a thermodynamic diagram and differentiated repelling of directional sound waves, laser stroboflash and the like, has the night recognition accuracy rate of 92% and the bird repelling response time of 0.8 second, and is suitable for scenes of electric power, airports and the like. Through multi-dimensional perception, dynamic modeling and eco-friendly expelling, the problems of poor environmental adaptability, single strategy and the like of a traditional scheme are solved, and the anti-bird efficiency and the ecological safety are improved.

The invention relates to the field of water conservancy and hydropower engineering, in particular to a multi-objective optimized hydropower ecological scheduling decision-making system and method, and the system comprises a data collection module, an ecological model module, an intelligent decision-making engine module, a scheduling execution module, an effect evaluation module and a knowledge base module. The data acquisition module collects multi-source data, the ecological model module generates a training data set, the intelligent decision engine carries out ecological process modeling and probability prediction based on a deep learning architecture and spatial-temporal feature extraction, and generates a scheduling decision, the scheduling execution module controls hydropower engineering operation, and the effect evaluation module monitors ecological and economic effects. The knowledge base module stores historical experience and provides optimization suggestions, and the system improves the simulation accuracy of the ecological system, especially when the flow changes suddenly; and through uncertainty quantification, the system reliability and the ecological safety guarantee rate are enhanced, and high efficiency, accuracy and sustainability of ecological scheduling of the hydropower engineering are realized.

The invention relates to the field of environment monitoring, discloses an ecological protection red line holographic dynamic monitoring and early warning method and system, and aims to solve the defects of an existing monitoring and early warning mechanism in the aspects of timeliness, data integration and intelligent analysis. According to the method and the system, multi-source heterogeneous data are acquired and fused, a space bottom line digital model is constructed, space-time situation awareness analysis and change abnormity identification are performed, risk assessment early warning triggering is performed, and early warning issuing and processing feedback are managed. According to the invention, high-precision holographic acquisition and fusion of multi-source data can be realized, the accuracy and timeliness of change abnormity identification are improved, passive early warning is changed into active early warning, a monitoring disposal closed loop is formed, supervision intelligence and treatment efficiency are improved, and ecological safety is guaranteed.

The invention discloses a black soil basin ecological safety monitoring method and device based on multi-source data fusion. The method comprises the steps of obtaining an ecological environment report text, environment parameter time sequence data, structured attribute data and remote sensing image information of a target black soil basin; inputting the remote sensing image information into a pre-trained image-to-text model to obtain an ecological environment description text; performing feature extraction and data fusion on the ecological environment description text, the ecological environment report text, the environment parameter time sequence data, the structured attribute data and the remote sensing image information to obtain multi-modal fusion data; inputting the multi-modal fusion data into a pre-trained environmental parameter prediction model to obtain predicted environmental parameters of the target black soil basin in a future time period; and when the predicted environmental parameters exceed a preset safety threshold range, ecological safety early warning information is generated. The accuracy and timeliness of ecological safety monitoring and early warning of the black soil basin are improved, and the method can be widely applied to the technical field of ecological environment monitoring.

The invention discloses a water level monitoring system based on flood discharge gate control, and relates to the technical field of flood discharge gate control, and the water level monitoring system comprises an upstream water level monitoring module, a downstream water level monitoring module, a gate discharge monitoring module, an early warning terminal and a database. Analyzing a water level future coefficient corresponding to the upstream end of the reservoir, judging whether the reservoir needs to open a gate for flood discharge or not, and analyzing to obtain a gate opening width corresponding to flood discharge of the reservoir, and analyzing to obtain a gate opening width corresponding to development of the downstream end of the reservoir when no flood occurs at the upstream end of the reservoir; meanwhile, the state of the reservoir gate during flood discharge is known, and whether adjustment is conducted or not is analyzed, so that safe reservoir flood discharge is achieved, ecological safety is guaranteed, efficient and accurate flood discharge is achieved, it is further guaranteed that surrounding development obtains effective water source support, and reasonable allocation of water resources and efficient utilization of the resources are achieved.

The invention discloses a territorial space planning optimization method and system based on an ecological safety pattern, and relates to the technical field of territorial space planning optimization and ecological safety protection, and the method comprises the steps: carrying out the system collection and preprocessing of multi-source space data, building a space planning optimization mechanism based on the ecological system features and regional development demands, and carrying out the optimization of the territorial space planning. And the spatial relationship among the ecological corridor, the buffer area and the development area is planned as a whole. According to the territorial space planning optimization method based on the ecological security pattern provided by the invention, effective coordination between ecological protection and economic and social development is realized by constructing the territorial space planning optimization method based on the ecological security pattern. By means of an optimized complex mathematical model combining ecological resistance, ecological connectivity, landscape heterogeneity, an ecological buffer area and ecological function compensation, the specific layout of an ecological sensitive area and an ecological corridor is accurately recognized, and the accuracy and the implementation effect of ecological protection measures are greatly improved.

The invention relates to the technical field of reservoir ecological management, in particular to a reservoir ecological scheduling method and system and a storage medium. The method comprises the following steps: carrying out vertical section multi-source parameter acquisition on a reservoir through a sensor array to obtain an original section data set; carrying out bottom mud-water body substance exchange strength characterization on the original profile data set to obtain an exchange flux comprehensive index; layering the reservoir according to the exchange flux comprehensive index to obtain a reservoir horizon structure chart; performing season-depth partition according to the reservoir horizon structure chart to obtain a partition statistical feature set; performing ecological safety response association on the partitioned statistical feature set to obtain an ecological safety domain map; and performing exchange flux and scheduling constraint analysis according to the ecological security domain atlas to obtain an exchange flux deviation table and a scheduling constraint condition set. According to the invention, a scientific scheduling method is provided for health of the reservoir ecosystem through collaborative optimization of water level regulation and control and layered drainage.

The invention relates to the technical field of territorial space planning and management and geographic information, and discloses a territorial space three-line boundary dynamic monitoring and intelligent early warning system, which comprises a data acquisition module used for acquiring multiple types of monitoring data of ecological protection red lines, permanent basic farmlands and urban development boundary areas in a territorial space in real time; the territorial space three-line boundary dynamic monitoring and intelligent early warning system effectively solves the hysteresis problem of traditional monitoring, can timely intervene in the germination stage of violation behaviors to avoid irreversible loss, and improves the early warning efficiency of the territorial space three-line boundary dynamic monitoring and intelligent early warning system. Meanwhile, the manual patrol and law enforcement cost is greatly reduced, the supervision blind area is eliminated, the ecological safety base line function of the ecological protection red line is practically guaranteed, the grain safety footstone effect of the farmland and the guiding effect of the urban development boundary on the orderly development of cities and towns are permanently improved; and the actual requirements of scientifically and reasonably planning and managing territorial space and assisting sustainable development are met.

The invention firstly provides application of nonanoic acid in artemia culture. In the application, the nonanoic acid takes silicon dioxide or chitosan as a carrier and is directly added into a culture water body. Wherein when the nonanoic acid takes silicon dioxide as a carrier, the use concentration of the nonanoic acid in a water body is 150-300 micrometers; when chitosan is used as a carrier of the nonanoic acid, the use concentration of the nonanoic acid in the water body is 55-90 micrometers. The inventor accidentally finds that after the nonanoic acid is mixed with the silicon dioxide or the chitosan and then added into the culture water body, the sudden drop of the pH value of the water body cannot be caused, so that an acid-base regulator does not need to be added, and the incubation and growth of artemia cannot be influenced; meanwhile, uniform dispersion and local high concentration of the nonanoic acid in the water body are realized by using the carrier, so that the use amount of the acid is reduced, and the antibacterial effect is remarkably improved. The invention further provides an artemia breeding method adopting the nonanoic acid as the antibody replacement product. According to the artemia obtained through the breeding method, the hatching rate and the survival rate of the artemia are remarkably increased, the number of vibrios carried by the artemia is effectively reduced, expression of related genes such as growth and immunity of the artemia is up-regulated, development and growth of the artemia are promoted, ecological safety is improved, and unexpected technical effects are achieved.

The invention discloses a pheromone binding protein derived peptide capable of effectively monitoring sex pheromones of fall webworms and a biosensor, and belongs to the field of biosensors. At present, methods such as sample plot survey and sex traps commonly used in fall webworm monitoring have the problems of poor timeliness, high labor cost, insufficient data continuity and the like. In order to solve the problem, the pheromone binding protein-derived peptide provided by the invention has an amino acid sequence as shown in SEQ ID NO: 2, the biosensor comprises a substrate and an interdigital electrode, a single-walled carbon nanotube is attached to the electrode, and the electrode is also connected with the pheromone binding protein-derived peptide. The sensor can specifically detect sex pheromones of fall webworms, has no response to 17 plant volatile matters, and can detect sex pheromones released by as low as five live female fall webworms under laboratory conditions. The method has application potential in the fields of early pest monitoring, prevention and control efficiency improvement, ecological safety guarantee and the like.

The invention specifically discloses a long-time-sequence high-frequency ecological environment quality space-time differentiation and driving analysis method, and relates to the technical field of remote sensing and ecological environment. The method comprises the following steps: determining an evaluation area, and constructing a macroscopic ecological safety risk evaluation framework; ecological indexes of greenness, humidity, temperature and dryness are calculated, and a time sequence data set is constructed; reconstructing a time sequence data set and constructing a remote sensing ecological index model based on the reconstructed time sequence data set; verifying the precision of the model, and evaluating the reconstruction precision by taking the screened high-quality pixels as true values; analyzing the spatial and temporal change trend and significance output by the model by using slope estimation and trend test, outputting future change continuity by using a Hurst index analysis model, and measuring spatial autocorrelation output by the model by using a Moran index; remote sensing ecological index evolution factors are researched by means of an optimal parameter geographic detector. According to the invention, the precision and timeliness of ecological assessment are improved, and decision support is provided for ecological management.

The invention discloses a seawater exchange type breakwater management method based on intelligent control, and particularly relates to the technical field of breakwater management. By constructing a multi-parameter correlation model, environmental data such as dissolved oxygen, turbidity and water temperature are collected in real time, the coupling relation is identified, and a risk factor value is calculated, so that a water change control decision is dynamically corrected; by controlling execution units such as a water gate, a water pump or a valve, water changing operation is accurately implemented, feedback data is collected after operation, the control effect is evaluated, then self-adaptive optimization of a next round of strategy is achieved, and the judgment accuracy, control flexibility and ecological safety of the system in a complex environment are effectively improved.

The invention provides a wetland ecological safety early warning method and system based on remote sensing analysis, and the method comprises the steps: firstly obtaining a multi-dimensional remote sensing data set containing multi-temporal imaging, spectral radiation and microwave scattering data in a target wetland region, and carrying out the interpretation to obtain an ecological process signal set; establishing a mapping relation model of the ecological process signal and the wetland ecological safety state, and obtaining a current ecological safety state description; performing cross-process correlation analysis on the ecological process signal to form an ecological process abnormal conduction chain; constructing an early warning trigger node system and generating an early warning rule; and acquiring real-time multi-dimensional remote sensing data, interpreting the real-time multi-dimensional remote sensing data, matching the interpreted real-time multi-dimensional remote sensing data with an early warning rule, and generating wetland ecological safety early warning information containing an abnormal ecological process link, an abnormal conduction path and an early warning response node. The wetland ecological safety risk can be comprehensively and accurately pre-warned, and the stability of the wetland ecological system is guaranteed.

The invention discloses an ecological safety early warning evaluation system based on three-generation space coupling and multi-source model fusion. The system comprises an index framework construction module, a weight determination module, an ecological safety level evaluation module, a three-generation space coupling evaluation module and an ecological safety early warning evaluation module. The invention provides an ecological safety early warning evaluation system, which masters the possibility of occurrence of ecological environment problems and spatial and temporal distribution characteristics, and provides a scientific basis for management of governments and environmental protection departments in the region. According to the method, indexes are selected according to historical spatial data and various statistical yearbook, an ecological safety evaluation system is constructed based on a three-generation space theory, three-generation coupling coordination is calculated according to different land utilization functions, and finally an ecological safety early warning area is determined according to the space-time relationship between the two.

The invention relates to the technical field of environmental monitoring and water ecological safety, in particular to a eukaryotic algae outbreak early warning method and system based on genus-level specific recognition. The method comprises the following steps: collecting a water body sample at a monitoring position according to a preset sampling plan, collecting an environment measurement value, and respectively obtaining environment parameter data, a water sample sampling identifier and a sampling timestamp; extracting nucleic acid from the water sample at the monitoring position based on the water sample sampling identifier, performing targeted amplification, and performing high-throughput sequencing at the same time to obtain eDNA original sequencing data; therefore, by constructing the eukaryotic algae outbreak early warning process based on genus-level specific recognition, the problems that in a traditional method, sampling disturbance is uncontrollable, sequence judgment precision is insufficient, trend recognition is lagged, and an early warning link is not transparent are solved, and the accuracy, stability and traceability of early judgment of algae outbreak are improved.

The invention provides a breeding method for constructing XX / XY sex determination all-female sterile fish and application. The method comprises the following steps: knocking out a catalytic enzyme coding gene of a fish sex steroid hormone synthesis pathway by using a gene editing technology to block the fish sex steroid hormone synthesis pathway, screening to obtain an effectively mutated homozygote XX sex genetic type pseudo male fish, and hybridizing the pseudo male fish with improved allotetraploid crucian and carp female fish to obtain the fish sex steroid hormone synthesis pathway. Therefore, an allotriploid population is obtained, and the population completely develops into female fishes and is sterile, so that the effect of obtaining all-female and sterile populations is achieved at the same time. The method provided by the invention has very strong applicability, and can be widely applied to aquaculture of fishes to obtain female unisexual groups of the fishes so as to improve the aquaculture yield, realize effective control on female fertility and protect ecological safety; the method has a wide application prospect in the fields of genetic breeding and ecological safety of aquaculture fishes.

The invention provides a method for constructing a watershed ecological safety pattern based on multi-target management, and the method comprises the steps: forming the construction of a watershed hydrology and water resource safety pattern, a water pollution safety pattern, a biological safety pattern and a historical and cultural heritage safety pattern through key node and landscape structure analysis, landscape pattern control mode analysis and other spatial analysis technologies; carrying out superposition calculation on different importance degrees of different grids under different target security patterns, carrying out ecological suitability analysis through landscape features and structures, then judging key areas and nodes for guaranteeing the ecological security pattern of the watershed, and correspondingly determining the positions of the key areas needing to maintain the ecological current situation or carry out ecological construction optimization; the comprehensive optimization research of the drainage basin multi-target ecological safety pattern construction technology is carried out, and multiple different-dimension management targets such as drainage basin function layout optimization, water quality pollution treatment, water resource space-time optimization configuration, biodiversity conservation, historical and cultural heritage protection and subsequent government function management and policy and measure compilation are optimized and realized at the same time.

The invention relates to a method for identifying an ecological restoration priority area of an agricultural and pastoral interlaced area. The method comprises the steps of collecting ecological environment data of a research area; based on the ecological environment data, determining an ecological source through ecological system service importance evaluation and landscape connectivity evaluation; based on the ecological source, constructing an ecological comprehensive resistance surface, and extracting ecological pinch points and ecological obstacle points; based on the kernel normalization difference vegetation index and the humidity index, time sequence remote sensing trend analysis is carried out on the research area, and a vegetation degradation area is obtained; and regarding the ecological pinch point, the ecological obstacle point and the vegetation degradation area as an ecological restoration priority area. According to the method, ecological security pattern construction of a static view angle and dynamic analysis based on a long-time sequence remote sensing index are combined, a dual-system ecological restoration priority area identification framework is constructed, and the land space ecological protection and restoration priority area identification method of a farming and pastoral interlaced region is enriched; and scientific guidance is provided for improving overall restoration of a regional ecological system.

The invention discloses a cultivated land ecological safety comprehensive evaluation method and system based on multi-model coupling. The method comprises the steps that a future multi-source data set of cultivated land to be evaluated in a future time period is set; performing grid division on the cultivated land to be evaluated by adopting a grid calculator in ArcGIS software to obtain a plurality of grid regions, and performing grid division on the future multi-source data set based on the plurality of grid regions to obtain a future multi-source sub-data set of each grid region; and predicting the future multi-source sub-data set of each grid region by adopting the constructed multi-ecological safety comprehensive evaluation function model, the spatial classification method and the constructed ecological safety comprehensive evaluation index calculation formula to obtain an ecological safety comprehensive evaluation index corresponding to each grid region. According to the method, the ecological function of the to-be-evaluated cultivated land in the future scene is simulated by coupling the multi-ecological safety comprehensive evaluation function quantity model, so that systematic evaluation on the cultivated land ecological function of the to-be-evaluated cultivated land in the future scene is realized.

The invention, which relates to the technical field of water resource management, discloses a block chain-based watershed environment water volume allocation system comprising a data acquisition module for acquiring real-time data; the risk assessment module is used for calculating a decoupling risk index; the self-adaptive regulation and control module is used for generating an initial regulation and control vector in combination with multiple factors; the safety verification layer is used for determining an optimal regulation and control vector; and the intelligent contract execution module executes corresponding regulation and control according to the risk level to form an automatic closed loop from sensing to execution. According to the method, multi-source heterogeneous data are integrated through a block chain technology, and a credible shared drainage basin database is constructed; a decoupling risk index is dynamically calculated, and conflicts between market transactions and ecological safety are accurately quantified; prospective regulation and control are realized by combining deep reinforcement learning with meteorological prediction; a differential strategy is executed based on a hierarchical intelligent contract, a closed loop from sensing, decision making to execution is formed, dynamic and accurate management of drainage basin water resources is achieved, and market and ecological requirements are balanced.

This invention relates to a highly efficient functional ceramsite for purifying phosphorus-containing wastewater, its preparation method, and its application. Based on a complementary functional strategy, it uses natural clay rich in Al2O3 and SiO2 as a binder and calcium-rich industrial solid waste as the calcium-rich active component. Functional additives are also added to mitigate pH changes caused by calcium oxide reactions. The above raw materials are calcined at high temperature to obtain inexpensive, calcium-rich functional ceramsite with high mechanical strength, large adsorption capacity, and ecological safety. This effectively solves the common problems of increased water pH and poor phosphate adsorption capacity at neutral pH in calcium-based ceramsite, achieving highly efficient phosphorus purification in water. This invention uses inexpensive and readily available natural clay and calcium-rich industrial solid waste as raw materials, resulting in low cost, good effect, and effective application in the treatment of low-pollution water.

The invention discloses an ecological security pattern key area identification method and device, a medium and a product, and relates to the field of ecological security pattern construction.The method comprises the steps that according to geospatial data, a morphological spatial pattern identification technology, an area threshold value and connectivity analysis are adopted, and an ecological source land is determined; generating a comprehensive ecological resistance surface of the ecological source land; according to the ecological source land and the comprehensive ecological resistance surface, determining an ecological corridor by adopting a minimum cost path model; constructing an ecological security pattern network diagram based on the ecological source and the ecological corridor; according to the ecological security pattern network diagram, carrying out ecological security pattern network topology feature analysis; determining a comprehensive ecological pressure index according to the ecological pressure index factor; and determining an ecological security pattern partition according to the network topology structure and the comprehensive ecological pressure index. According to the method, the interaction and relation of the ecological security pattern in the local scale can be fully considered.

The invention discloses an alcaligenes faecalis UA strain, a product and application thereof, and a method for repairing an acid mine environment by acid-resistant urease-producing bacteria, and belongs to the technical fields of industrial microorganisms, microorganism application materials and environment repairing. The UA strain CGMCC No.33976 is found for the first time to produce the acid-resistant urease, the urease is stably produced in the environment with the optimum acidity of pH 4.5-pH 6.5 and the initial pH of 3.5-pH 7.5, and the enzyme production activity is the highest in the environment with the initial pH of 5.5-pH 6.5. The UA strain can effectively reduce acidity and remove metal ions in water in an acid mine wastewater real water sample, the removal rate of aluminum, manganese, zinc and cadmium exceeds 99%, and the removal rate of calcium, iron and lead is 92%-98%. The UA strain is screened from the acid mine environment, has biological safety, has industrial purposes of AMD in-situ direct treatment and acid mine environment in-situ remediation, does not need to add chemical agents to adjust the pH value of the environment, and has ecological safety and environmental sustainability.

The invention discloses a grassland original ecology safety dynamic evaluation and early warning system, belongs to the field of grassland safety monitoring, and aims to solve the problem that an existing dynamic evaluation and early warning system is difficult to monitor and early warn the self-restoration capacity of a grassland. Through the vegetation monitoring unit, the soil monitoring unit, the livestock monitoring unit and the restoring force monitoring unit, and through a multi-scene simulation platform establishment module of the restoring force monitoring unit, interference scenes of drought and overload grazing are preset and visually displayed based on a vegetation productivity model; a dynamic ecological model is constructed in combination with vegetation, soil and livestock grazing data collected in real time, and deduction of the self-recovery state after grassland degradation is achieved; cA-Markov is utilized to dynamically simulate variation trends of vegetation productivity, grazing intensity and the like, critical threshold values of key indexes such as livestock carrying rate and the like are accurately identified, and the anti-interference capability of an ecological system is quantified; and the decision support module integrates the DPSIR model to generate a grazing forbidding strategy, and forms a whole-process restoration force evaluation chain.

The invention relates to the technical field of agricultural microorganisms, in particular to trichoderma asperellum and application thereof. The Trichoderma asperellum disclosed by the invention is preserved in the China Center for Type Culture Collection on October 25, 2023, and the preservation number of the Trichoderma asperellum is CCTCC (China Center for Type Culture Collection) NO: M20232021. The trichoderma asperellum provided by the invention has a relatively strong inhibition effect on onion specialized fusarium oxysporum, and has a good prevention and treatment effect on onion root rot; the fertilizer has strong salt and alkali resistance, can promote growth of onions under a salinization condition, improve growth traits and fruit quality of the onions, increase the yield of the onions, improve physicochemical properties of salinized soil and change abundance of microflora of the soil; in addition, the disinfectant is safe and convenient to use, non-toxic, harmless, non-corrosive, harmless to human, livestock, animals and plants, free of environmental pollution and ecological in safety.

The invention relates to a preparation method of an insect-proof lyocell fiber, and belongs to a functional fiber preparation method in the chemical field. The invention provides a bio-based microcell barrier packaging solution aiming at three major defects of easy breakage, non-environmental response release and toxicity of a chemical cross-linking agent in the existing microcapsule coating. The pH response type microcapsule is constructed through double-layer alternate self-assembly of chitosan and phytic acid, a compact network barrier is formed by electrostatic crosslinking of positive and negative charges, and the structural stability is enhanced by combining a natural cross-linking agent genipin; in the fiber loading stage, plasma pretreatment is adopted to increase the surface roughness, vacuum negative pressure drives microcapsule permeation, and steam setting promotes anchoring setting. Core innovations include an intelligent release mechanism, washability breakthrough, ecological safety and actually measured performance display. The method solves the problem that the lyocell fiber is difficult to decompose the permethrin in the NMMO solvent system, and has the advantages of efficient protection and environmental friendliness.

The invention belongs to the technical field of pesticide preparations, and particularly relates to kresoxim-methyl drug-loaded microspheres as well as a preparation method and application thereof. The 9% pyraclostrobin drug-loaded microspheres (Pyr (at) COzein) are prepared by modifying a Zein-pesticide emulsifier 500 # complex with n-caprylic alcohol, and the n-caprylic alcohol has a synergistic effect on pyraclostrobin, so that not only can the defect of a sustained and controlled release preparation in the aspect of fast-acting sterilization be made up, but also the use dosage of pyraclostrobin can be reduced, the risk of pesticide residue can be reduced, and the drug-loaded microspheres have a good application prospect. The ecological safety is improved.

The invention provides a method for measuring and calculating a collaborative safety index of a water-grain-ecological composite system in an arid region, and relates to the technical field of collaborative management of green agricultural resources in the arid region. The method aims at solving the technical problem that in the prior art, a system for evaluating the water-grain-ecology multi-element co-evolution relation with an arid region as a research object is lacked. The method comprises the following steps: constructing a state parameter index system of water resource, grain and ecological safety in the arid region, and measuring and calculating through an improved G1-CRITIC subjective and objective weighting method to obtain a subsystem safety index reflecting a state parameter of a composite system; and inputting the subsystem safety index into a pre-established Hakkine model, analyzing the co-evolution process of the water-grain-ecological composite system, and measuring and calculating to obtain a water-grain-ecological collaborative safety index reflecting the collaborative safety state of the water-grain-ecological composite system. According to the method, from the perspective of the compound system, the dynamic relationship among water-grain-ecology is revealed under the background of agricultural green development in the arid region, and the technical blank in the aspect of research on the evolution mechanism of the compound system in the arid region is effectively filled. According to the method, the water competition of the arid region can be relieved, the soil salinization and underground water mineralization process can be slowed down, a high-level cooperation mechanism of mutual promotion and dynamic adjustment among water, grain and ecology is formed, so that the green and sustainable development of agriculture in the arid region is promoted, and the method has important theoretical value and practical application prospects.