356 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 an ecological restoration quantification method based on a watershed ecological safety complex network. The method comprises the following steps: S1, obtaining multi-time-sequence watershed multi-source heterogeneous spatial data of a target area; s2, taking the grid as an evaluation unit, establishing a drainage basin ecosystem service function evaluation system, and obtaining spatial-temporal change characteristics of an ecological safety function; s3, analyzing the spatial-temporal change characteristics of the ecological land scale of the watershed; s4, constructing a drainage basin ecological resistance surface; s5, identifying an ecological corridor; s6, constructing an ecological safety complex network model by taking the ecological source as a node, the ecological corridor as an edge, the scale of the ecological source as a point weight and the proportional relation between the connection efficiency of the ecological corridor and the corridor resistance as an edge weight, and extracting spatial-temporal evolution characteristics of an ecological safety structure; s7, a coupling coordination degree model is adopted to simulate and analyze the characteristic relation among the safety function, the safety structure and the land use scale, and the coupling coordination degree is obtained; and S8, guiding and optimizing an ecological restoration implementation strategy. According to the method, ecological security network structure features on the watershed system scale are quantified.

Provided is a system for simulating urban spatial growth by coupling urban development with water resources environmental carrying capacity, including a dynamic evaluation module for a water resources carrying capacity configured to evaluate and predict a maximum scale of urban space, a identification module for a water ecological sensitive area configured to identify water ecological security patterns and determine spatial regions that need to be avoided during urban spatial growth, and a simulation module for urban land use change configured to predict urban spatial layout features under different water ecological sensitive area protection modes and urban spatial growth scales. The system, as a whole, can predict the trends in urban population, industry, and construction land changes by simulating coupling between water resources environmental carrying capacity as well as water ecological sensitive area protection characteristics and factors such as urban socio-economic development and urban land expansion.

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 relates to the technical field of ballast water, in particular to a ship ballast water comprehensive treatment system which comprises a ballast water dynamic adjustment module, a ballast water risk management module, a ballast water safety optimization module and a ballast water ecological monitoring module. According to the invention, by monitoring the key sea condition data and the ship state in real time, the ballast water configuration can be adjusted in real time, and the balance and operation flexibility of the ship can be optimized, so that the ship can be kept stable in a changeable marine environment, the extra fuel consumption caused by improper configuration of the ballast water is obviously reduced, and the service life of the ship is prolonged. Potential risks in ballast water are intelligently assessed through the Bayesian network, the system can early warn the risks in advance and formulate coping strategies, so that the safety of the ship is improved, ecological threats are recognized in time through careful monitoring and analysis of biological and chemical components of the ballast water, the cross-regional spreading risk of pests and pathogens is reduced, and the risk of risk prevention and treatment is reduced. The ecological safety and the biological diversity of the destination water area are effectively protected.

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 discloses a drainage basin ecological safety monitoring method and system based on big data. The method comprises the steps of data acquisition, data preprocessing, drainage basin ecological environment monitoring, drainage basin ecological system monitoring, hyper-parameter optimization and drainage basin ecological comprehensive monitoring. The invention belongs to the technical field of ecological safety information processing, and particularly relates to a drainage basin ecological safety monitoring method and system based on big data, according to the scheme, ecological environment monitoring and ecological system monitoring are creatively and deeply fused, and the comprehensiveness and accuracy of drainage basin ecological safety monitoring are improved; adjacent domain similarity, a standard deviation adjustment distance and a distribution coefficient are introduced, a selection process of a clustering center is optimized, and the technical problem that a watershed ecosystem monitoring result is not accurate enough is solved. The algorithm for obtaining the optimal parameters of the monitoring model is improved by adopting the dynamic adaptation factors, the opposite individuals and the individual symbiotic update, the optimal parameter combination is obtained, the accuracy of the model output result is improved, and the drainage basin ecological environment monitoring result is more accurate.

The invention discloses an ecological security pattern risk assessment method based on finite element simulation, and belongs to the technical field of ecological security pattern risk assessment, and the method comprises the following steps: S1, constructing an ecological security pattern; s2, discretizing the ecological corridor; s3, expressing the internal condition of the ecological corridor by using a landscape pattern index, and obtaining the material attribute of the three-dimensional model by converting the landscape pattern index; s4, extracting normalized vegetation indexes and traffic network density data in a preset range of the ecological corridor, and converting the data into external loads after processing; s5, constraint is applied to the three-dimensional model corresponding to the ecological source land and the three-dimensional model corresponding to the pedal stone; s6, constructing four scenes based on the three-dimensional model, and performing finite element simulation on the four scenes; and S7, making an ecological security pattern optimization strategy based on results of multi-scenario analysis and finite element simulation. And the risk assessment of the ecological space is carried out by using theoretical methods such as stress and deformation of three-dimensional mechanics, so that the method has relatively high innovativeness and practicability, and has unique protection value.

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 relates to a grassland human settlement space ecological security pattern construction method comprising the following steps: 1) identifying an ecological source land, including ecological source land preliminary identification and ecological source land screening; 2) based on grassland living space production and life characteristics, ecological resistance surface identification is carried out; and 3) combining an ecological source land evaluation result and an ecological resistance surface identification result, simulating an ecological corridor, an ecological key point and an ecological obstacle point by adopting a circuit theoretical model, and constructing an ecological safety pattern as an identification result of an ecological space in the grassland living space. The grassland human settlement space ecological safety pattern construction method developed by the invention can adapt to the particularity of the grassland pastoral area human settlement space, and provides a thought for grassland pastoral area territorial space layout optimization and management and control partition delimitation.

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 discloses a gamma-aminobutyric acid gated chloride ion channel allosteric modifier compound and an application thereof, namely (S)-4-(5-(3-chloro-5-(trifluoromethyl) phenyl)-5-(trifluoromethyl)-4, 5-dihydroisoxazole-3-yl)-2-methyl-N-(2-oxo-2-((2, 2, 2-trifluoroethyl) amino) ethyl) benzamide, and a preparation method of the gamma-aminobutyric acid gated chloride ion channel allosteric modifier compound. The compound has an excellent control effect on pests of thysanoptera, acarina, lepidoptera and the like, is very friendly to bees and high in environmental ecological safety, can be used for preparing efficient, low-toxicity and safe insecticides, and has a wide application prospect in agricultural production.

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 discloses a mine ecological safety identification method based on a convolutional neural network model, and relates to the technical field of mine ecological safety identification. A convolutional neural network CNN is introduced to automatically optimize a resistance value, a time dimension and a dynamic factor are combined, and a resistance surface is monitored and adjusted in real time, so that the safety of mine ecological safety identification is improved. The method can dynamically respond to the influence of topographic change, vegetation density fluctuation and meteorological change, can capture the real-time influence of sudden rainfall, mining area extension or vegetation restoration and the like, the generated resistance surface has high timeliness and accurately reflects the dynamic characteristics of an ecological system, and meanwhile, the circuit theory and deep learning are combined, so that the method can be widely applied to the field of ecological engineering. According to the method, multiple potential migration paths are generated, dependence on a single minimum resistance path is avoided, more diversified migration choices are provided, path weights are dynamically optimized in combination with a time sequence model, channels with high ecological values and high migration requirements are preferentially protected, and it is guaranteed that a migration network has enough elasticity and adaptability.

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 relates to the technical field of aquaculture methods, in particular to a breeding method for preventing and treating ichthyophthiriasis of leiocassis longirostris fries. According to the technical scheme, the first system and the second system are adopted for sequential circulation treatment, and finally the third system is adopted for treatment, so that prevention and treatment of ichthyophthiriasis are achieved. The three systems are all subjected to heating treatment, and the first system contains sodium chloride and formaldehyde, so that rapid falling of insect bodies is promoted, and development of larvae is inhibited; the second system contains povidone iodine, so that body surface infection can be prevented; the third system consolidates the treatment effect; in the treatment process, unhatched cysts and dead polypides are discharged by changing water. A physical heating measure is adopted, so that osmotic stress of salinity on the freshwater fish is reduced. The adopted medicines are all easy to metabolize, are free of heavy metal ions, and have ideal ecological safety and food safety. According to the technical scheme, the technical problem that in the prior art, a safe and effective breeding method for preventing and treating the Leiocassis longirostris ichthyophthiriasis is lacked can be solved, and the method has ideal application and popularization prospects.

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.