71 results about "Environmental stress" patented technology

The invention relates to the technical field of aeronautical medicine monitoring and flight protection, in particular to a crissum health risk assessment and dynamic intervention management system for military flight personnel, which comprises a data sensing step: synchronously acquiring environmental stress data and real-time physiological sensing data; a benchmark reconstruction step: calculating ideal physiological response data based on the environmental stress; a pathological simulation step: injecting pathological rheological parameters to generate pathological simulation data; a difference extraction step: constructing a double-track difference vector, and respectively calculating a real residual vector and a theoretical residual vector; a coupling judgment step: calculating a vector similarity to judge a risk type; a dynamic intervention step: generating a physical intervention strategy in response to the risk type to adjust the equipment state; according to the invention, by dynamically stripping environmental noise, physiological hyperemia and pathological disorders are effectively distinguished, and the false alarm rate in a high dynamic environment is reduced.

The invention belongs to the technical field of artificial intelligence crossing, and provides a method for intelligently identifying abnormal foraging behaviors of chickens under environmental stress, which comprises the following steps of: acquiring data and analyzing an abnormal foraging behavior identification model of the chickens; the training process of the model comprises the following steps: defining key feature points and a behavior recognition range, acquiring a continuous three-dimensional point cloud sequence based on a time window, acquiring multi-parameter environmental data in a poultry house, marking, dividing a data set, constructing a chicken abnormal feeding behavior recognition model and iteratively training the chicken abnormal feeding behavior recognition model; according to the invention, the multi-layer feature extraction module, the point sequence transformation sensing module, the resolution collaborative enhancement module, the dynamic feedback control module and the behavior recognition module are constructed, and environmental stress variables and deep visual data are fused, so that the three-dimensional structural features and dynamic behavior information of chickens can be accurately captured in a complex breeding environment; the automatic identification capability of abnormal foraging behaviors of chickens is improved, and the method has good generalization performance, interpretability and practical deployment feasibility.

The invention discloses a mine ecological restoration evaluation and analysis method, a mine ecological restoration evaluation and analysis device, a mine ecological restoration evaluation and analysis device and a computer readable storage medium, and the method comprises the steps: carrying out the basic data collection of a to-be-evaluated mine region, and obtaining an ecological restoration current situation data set; performing index system construction based on the ecological restoration current situation data set, the continuously monitored ecological data time sequence and the ecological system service function data to obtain an ecological restoration degree index set, an ecological stability index set and an ecological functional index set; environment coefficient calculation is carried out based on the obtained plateau environment characteristic data, and an environment stress coefficient is obtained; based on the ecological restoration degree index set, the ecological stability index set, the ecological functional index set and the environmental stress coefficient, evaluation model construction processing is carried out, and a comprehensive ecological restoration evaluation model is obtained; and calculating the actually measured index data based on the comprehensive ecological restoration evaluation model to obtain a comprehensive evaluation score.

The invention discloses a deep learning-based battery replacement cabinet health state detection method, and relates to the technical field of battery management, a time sequence feature extraction layer can effectively capture the long-term degradation trend of a battery in a complex environment, and misjudgment caused by short-term fluctuation is avoided; the dynamic weighting layer driven by environmental conditions adaptively focuses on a high-temperature and high-humidity period through an attention mechanism, so that the sensitivity to environmental stress related abnormity is enhanced, and the risk of missing report is reduced; the antagonism training module improves the robustness of the model in an extreme environment by simulating high-temperature and high-humidity disturbance, so that the model can distinguish a real fault from noise interference without depending on manual threshold adjustment; the real-time performance and adaptability of detection are ensured through an online sliding window mechanism and edge deployment, station changes and seasonal fluctuations can be dynamically responded, and the operation and maintenance cost is reduced.

According to the indigenous plant adaptability screening test method simulating the environmental stress condition, the transparent incubator is combined with real-time monitoring equipment such as the high-resolution miniature camera array and the optical fiber sensor, complex laboratory equipment is replaced, and the root system observation problem is solved. The environmental stress condition of a target habitat is accurately simulated, the environmental characteristics of drought, depletion, special soil structure and the like of the high and steep slope are accurately restored by adopting layered matrix and dynamic stress intervention, a systematic evaluation system is established by combining multi-index quantification and a similar analytic hierarchy process, the subjectivity of artificial experience judgment is avoided, and the evaluation accuracy of the high and steep slope is improved. And the scientificity and engineering applicability of indigenous plant screening are remarkably improved.

The invention relates to the technical field of meat food safety production monitoring and management, in particular to a digital visual meat food safety production monitoring and management system. Comprising a data acquisition and binding unit used for acquiring environment time sequence data and static physicochemical data associated with a unique identity identification code of each batch of meat products; the environmental stress modeling unit is used for calculating to obtain a comprehensive environmental stress factor; the microorganism growth prediction unit is used for calculating to obtain the total quantity of predicted microorganisms; the dynamic risk assessment unit is used for calculating to obtain a dynamic safety risk index; and the risk early warning and decision support unit is used for generating a risk level signal, and solving based on a preset critical risk threshold to obtain a predictive remaining shelf life so as to support scheduling decision. According to the system, a solid data foundation is laid for dynamic, continuous and prospective microbial risk assessment of the whole production chain, and remarkable technical progress is realized.

The invention relates to the technical field of livestock and poultry breeding epidemic prevention, and discloses a biological safety system suitable for a breeding community, comprising: a space partition and hardware facility module for constructing a physical framework; the four dynamic line closed-loop management modules are used for executing a one-way flow standard operation instruction; the environment pressure gradient regulation and control module is used for maintaining stable air pressure gradients in areas with high safety levels to low safety levels, the integrated monitoring module is used for acquiring real-time data through a sensor network, and the biological safety state interlocking management and control module decides according to the real-time data, automatically issues instructions and regulates and controls hardware facilities and the environment pressure gradients in a linkage mode, so that intelligent active defense is achieved. Spatial partition, hardware facilities, dynamic line processes, environment regulation and control and intelligent interlocking management and control are systematically integrated, a set of multi-level and closed-loop comprehensive biological security defense system is constructed, and the defect of systematic prevention and control vulnerabilities in the prior art is overcome.

The invention discloses a predictive test system and method based on digital twinning and environmental Monte Carlo simulation, and relates to the technical field of equipment environmental adaptability tests.The system comprises a test cabin, an environmental parameter actuator, a climate Monte Carlo engine, an online sensing network and a health state evaluation and feedback control module; the method comprises the steps that an engine generates an initial multi-dimensional environment control parameter sequence according to a target environment model, an actuator applies environment stress according to the initial multi-dimensional environment control parameter sequence, a sensing network acquires internal state parameters of equipment in real time, an evaluation module judges whether the parameters reach a cascade failure threshold value or not, if yes, an engine algorithm is adjusted or the parameters are corrected, and if not, testing continues; and after finishing, constructing an aged digital twin model which can reproduce a multi-environment coupling effect and realize self-adaptive loading, thereby accurately predicting the failure and the service life of the equipment.

The application discloses a kind of based on low temperature ice and snow environment material weather resistance test method, belong to material testing technical field, it includes according to environmental simulation scenario, generate dynamic environment parameter set, in the preset composite environment stress cabin, apply dynamic change ice and snow load and multi-physical-chemical environmental stress, construct coupling environment field acting on the sample to be tested;Real-time acquisition is obtained in the state of the sample to be tested in coupling environment field, generate multidimensional monitoring data set and compare and analyze with the preset material aging characteristic template, generate the material response data of the current state of the sample to be tested, construct environment parameter adjustment instruction set real-time regulation coupling environment field in composite environment stress cabin.The application adopts the closed-loop feedback control strategy of combination of constructing dynamic coupling environment field and real-time monitoring material response, can realize the intelligent acceleration of test process under the premise of guaranteeing the authenticity of failure mechanism, significantly improve test efficiency and the accuracy of result.

The present invention relates to improved technology for a device that ascertains and diagnoses the state of environmental stress in plants.　A control circuit 20b controls a measurement light source 12 such that a second measurement light ML2 is higher powered than first measurement light ML1 and such that the first measurement light ML1 and the second measurement light ML2 have opposite phase square waves, and further controls the measurement light source 12 such that the first measurement light ML1 and the second measurement light ML2 are output synchronously, thereby forming the first measurement light ML1 and the second measurement light ML2 into a single pseudo synthesized square wave measurement light ML3 of 5-30 kHz.　A transmitted light detector 18 detects, as synthesized square wave transmitted light TL, the synthesized square wave measurement light ML3 that has passed through a plant sample S.　An analysis circuit 20a uses the synthesized square wave transmitted light TL to calculate a light absorption difference, uses the light absorption difference to calculate, as a ROS marker, Y(ND) which is the oxidation state of P700, and uses the ROS marker to diagnose the state of environmental stress of a plant.

The present application relates to the field of connector testing, in particular to a connector-based locking structure testing method and system, comprising the following steps: building a multi-physical field coupling test environment to output a composite environmental stress; based on the actual application scenario of the to-be-tested locking structure, obtaining assembly deviation data, and obtaining an assembly deviation state through a preset multi-degree-of-freedom adjustable clamp; based on the physical data of the to-be-tested locking structure, constructing a three-dimensional model of the locking structure, giving real material mechanics parameters, inputting the composite environmental stress and the assembly deviation data into a finite element software for simulation testing, and outputting a simulation test data set; performing physical testing through the multi-physical field coupling test environment, and outputting a physical test data set; comparing and analyzing the simulation test data set and the physical test data set, and outputting a test report. The present application builds a multi-physical field coupling test environment, and combines a multi-degree-of-freedom adjustable clamp to make the test scenario closer to the real application working condition of the connector.

This invention relates to a method for risk assessment of multiple ecological factors in lakes based on DOM (Dissipative Oxygen Species), nutrients, and the coupling of functional bacteria and pathogen resistance. The invention aims to address the technical problems of current lake risk assessment methods, which primarily focus on evaluating single resistance risks, neglect the ecological buffering role of functional bacteria, and fail to reflect the coupled risks of multiple ecological factors in lakes. This invention obtains DOM parameters, nutrient parameters, functional bacteria indicators, pathogenic bacteria indicators, and drug resistance transmission factor indicators; calculates a comprehensive risk value R based on the environmental stress index E, ecological buffering index B, transmission hazard index H, and DOM-mediated transmission triggering coefficient K, and performs risk classification and spatial zoning assessment. This invention incorporates DOM activity, nutrient imbalance, the ecological buffering capacity of functional bacteria, and the drug resistance transmission potential of pathogenic bacteria into a unified evaluation framework, applicable to comprehensive ecological security assessment, risk early warning, and zoning management of lakes such as Poyang Lake.

The present application relates to the technical field of aviation medical monitoring and flight protection, in particular to a perianal health risk assessment and dynamic intervention management system for military flight personnel, comprising: a data sensing step: synchronously collecting environmental stress data and real-time physiological sensing data; a benchmark reconstruction step: calculating ideal physiological response data based on environmental stress; a pathological simulation step: injecting pathological flow parameters to generate pathological simulation data; a difference extraction step: constructing a double-track difference vector, and respectively calculating a real residual vector and a theoretical residual vector; a coupling judgment step: calculating vector similarity to determine the risk type; and a dynamic intervention step: generating a physical intervention strategy to adjust the equipment state in response to the risk type; the present application effectively distinguishes physiological congestion from pathological disorders by dynamically stripping environmental noise, thereby reducing the false positive rate in a high dynamic environment.

The invention relates to the technical field of data processing, in particular to an ecological environment detection method and device based on multi-source data and a storage medium, and the method comprises the steps: collecting spatial distribution parameters and environmental stress parameters; constructing an intrusion space index based on the target plaque area and the target plaque boundary perimeter; constructing a habitat stress index according to the daily average submerging duration and the soil salinity of the root system layer; constructing a diffusion risk factor according to the plaque area of the associated region of the target plaque, constructing a risk index based on the diffusion risk factor, the intrusion space index and the habitat stress index, and constructing a plaque treatment priority; and constructing an adjustment coefficient according to the canopy temperature daily difference, constructing an update coefficient according to the seed removal rate and the adjustment coefficient, and updating the plaque treatment priority based on the update coefficient and the target plaque area. According to the method, accurate diagnosis, risk early warning and scientific sorting of treatment priorities of the spartina alterniflora invasion situation are realized.

This invention relates to the field of health and medical data processing technology, and particularly to a method for chronic disease risk management based on community grids. The method includes constructing an initial spatial environmental potential field based on point-of-interest weights; calculating the risk exposure integral sequence and instantaneous potential gradient by combining user trajectories; if the gradient exceeds a threshold, adjusting parameters and using a matrix contour algorithm to extract stress-related abnormal motifs from physiological monitoring data; reconstructing the potential field by statistically analyzing the frequency of group motif attacks; finally, calculating the cross-correlation between the exposure integral and the attack frequency sequence to obtain a causal index; and combining this with health records to output a chronic disease risk rating and intervention instructions. In this invention, by introducing an instantaneous potential gradient to feedforward and regulate the extraction parameters of physiological motifs, the technical problem of traditional fixed-parameter sampling easily missing environmental stress physiological responses is solved, enabling the underlying algorithm to accurately capture users' stress-related abnormal physiological motifs during sudden environmental changes.

The application provides a cultivated soil biological health condition evaluation method and system based on exploratory factor analysis, relates to the soil biological health condition evaluation technical field, and realizes accurate analysis on the complex interaction relationship between soil microbial functions and environmental factors by constructing a soil biological health evaluation system based on a nitrogen biological regulation coordination network; through multidimensional index fusion and deep mining of a factor model, key biological function factors are effectively identified and quantified, and the scientific evaluation ability of soil ecological functions is improved; combined with causal path analysis, the scheme can reveal the influence of environmental pressure on microbial regulation mechanism, realize intelligent attribution and tracing of abnormal health conditions, based on dynamic fusion and hierarchical determination of function and environment scores, the scheme supports accurate health condition evaluation and layered intervention, enhances the early warning ability and decision-making scientificity of soil management, and significantly improves the guarantee level of agricultural sustainable development.

This invention provides a gradient environmental stress buffer device and method for the domestication of endangered fish, relating to the field of endangered fish domestication technology. It includes multiple holding chambers connected to adjacent chambers via a transfer mechanism. Each holding chamber is equipped with a water flow regulation mechanism, an environmental control mechanism I, and a visual acquisition mechanism. Two storage tanks are connected to a proportioning mixing mechanism, which is connected to the multiple water flow regulation mechanisms. Through the gradient setting and dynamic adjustment mechanism of multiple holding chambers, this invention achieves linear and gradual gradient changes in dissolved oxygen, pH, ammonia nitrogen content, water flow velocity, and photoperiod, meeting the gradual adaptation needs of endangered fish to environmental changes. This significantly reduces the mortality rate of endangered fish during domestication, achieving efficient and safe domestication of endangered fish.

The invention relates to the technical field of building structure health monitoring, and discloses an ancient building and pseudo-classic building big wood component disease diagnosis method comprising the following steps: carrying out multi-modal baseline representation on a big wood component to calibrate a disease high-risk area; executing a preset environmental stress test protocol for the region; environment stress data and metabolic gas concentration serving as metabolic feedback data are synchronously collected; extracting instantaneous dynamic characteristics based on the collected data, and constructing a stress-feedback fingerprint representing a response mode of the instantaneous dynamic characteristics; training a disease development prediction model based on the fingerprints, and constructing a response surface model to invert an environmental critical point triggering disease activity; and finally, in combination with a prediction result and the critical point, generating a comprehensive diagnosis report and defining a safe operation envelope for guiding preventive maintenance. According to the invention, through active stress testing and metabolic fingerprint analysis, early quantitative diagnosis of diseases in the incubation period is realized, and an accurate quantitative basis is provided for preventive microenvironment regulation and control.

The invention discloses a quantitative evaluation method and device for environmental adaptability of a metal force-bearing component integrating apparent damage and mechanical damage characteristics, and relates to the field of high environmental adaptability evaluation of products and structural life evaluation. The method comprises the following steps: firstly, acquiring historical data of apparent damage characteristics, historical data of mechanical property characteristics and historical data of environmental parameters of the metal bearing structure; then constructing an apparent damage-environmental stress dynamic model and a mechanical property-environmental stress dynamic model according to the obtained historical data; constructing a performance index model; and then evaluating the high environment adaptability of the metal bearing structure in different use environments according to the performance index model to obtain performance indexes at different time. According to the method, the environmental stress, the apparent damage and the mechanical property are comprehensively considered in the quantitative evaluation process of the environmental adaptation level of the product, and the accuracy and comprehensiveness of structural adaptation capability evaluation are improved.

The invention relates to the technical field of animal epidemic disease prevention and control management, and particularly discloses an animal epidemic disease health risk evaluation method and system, and the technical key points are that the method comprises the steps: firstly, collecting multi-source data of animal health monitoring, laboratory detection, environmental factors, epidemiology and the like, and carrying out the standardization processing of the data; key factors such as immune level, health deviation degree, environmental stress degree and epidemiological risk are extracted; by establishing a multi-factor comprehensive risk evaluation model, quantitative calculation is carried out on epidemic disease risks of animal groups, and dynamic updating and self-learning optimization of risk indexes are realized in combination with time sequence correction and machine learning correction; the system structurally comprises a data acquisition module, a data processing module, a risk assessment module and a result output module, and can realize risk grade division, visual display and cross-terminal early warning push. When the risk reaches a medium-high level, the system can be linked with ventilation, disinfection and isolation measures of the farm to form a closed loop of evaluation, early warning and disposal.

The invention relates to the technical field of urban intelligent management and control, and provides an urban composite environment health risk assessment and intervention method and system, and the method comprises the steps: obtaining the geographic space data and ground observation data of an urban region; constructing a collaborative environmental stress index, and calculating an SESI predicted value; performing grid construction on the urban area to construct a graph structure, performing feature learning by using a GNN algorithm, predicting a node SESI value, and generating a collaborative stress map; constructing a comprehensive vulnerability evaluation model, calculating a vulnerability index, and identifying a high-vulnerability region; fuzzy comprehensive evaluation and TOPSIS methods are fused, intervention measures of the high-fragility area are sorted, and an intervention scheme is generated. According to the method, the nonlinear interaction modeling and the high-resolution graph neural network are fused to realize accurate recognition of the composite environment health risk, and the intervention strategy is optimized through the multi-criterion decision model, so that scientific regulation and dynamic optimization of the urban intervention scheme are realized.

The invention relates to the technical field of plant germplasm resource evaluation, and discloses a bamboo reed germplasm resource environmental adaptability evaluation method. The method comprises the following steps: acquiring environment data of a plurality of ecological test points and bamboo reed phenotype data, and forming a germplasm environment response record after matching; according to the bamboo reed key phenological period division points, the records are intercepted and recombined into a plurality of phenological response sub-records; for each sub-record, extracting an environmental factor extreme value exceeding a preset tolerance range and a duration, and constructing an environmental pressure portrait; connecting all portraits of the same bamboo reed germplasm in series at all test points and arranged according to a phenological sequence to form a cross-regional whole-growth-period environmental adaptability path diagram; and inputting the path diagram into a pre-trained multi-dimensional adaptability discrimination network for analysis, and outputting an adaptability grade classification label to finish evaluation. According to the method, environmental stress in a specific growth stage can be quantified more finely, the overall adaptability of germplasm to a complex stress sequence is systematically judged, and the accuracy and practicability of evaluation are improved.

The present application relates to the technical field of plant germplasm resource evaluation, and discloses a reed germplasm resource environmental adaptability evaluation method. The method comprises the following steps: obtaining environmental data and reed phenotype data of multiple ecological test points, and matching to form a germplasm environmental response record; dividing the record according to a key reed phenophase, and recombining the record into multiple phenophase response sub-records; for each sub-record, extracting extreme values and duration of environmental factors that exceed a preset tolerance range, and constructing an environmental stress image; connecting all the images of the same reed germplasm at all test points in the order of phenophases to form a cross-regional whole growth period environmental adaptability path diagram; inputting the path diagram into a pre-trained multi-dimensional adaptability discrimination network for analysis, and outputting an adaptability grade classification label to complete the evaluation. The present application can more finely quantify environmental stress at a specific growth stage, and systematically discriminate the overall adaptability of germplasm to a complex adversity sequence, thereby improving the accuracy and practicality of the evaluation.

The invention discloses a manufacturing method of a positive film circuit board, which comprises the steps of pretreatment, film pasting, exposure, development and pattern electroplating in sequence, and is characterized in that a programmed stress release step is executed after the exposure step and before the development step; the programmed stress release step comprises the following steps: placing the exposed circuit board in a controlled environment, and successively carrying out first-stage standing and second-stage standing; wherein the environmental conditions of the first-stage standing are as follows: the temperature is 23 + / -2 DEG C, the relative humidity is 40-60%, and the standing time is greater than or equal to 15 minutes; the environmental conditions of the second-stage standing are as follows: the temperature is 28 + / -2 DEG C, the relative humidity is 40-60%, and the standing time is longer than or equal to 15 minutes. According to the manufacturing method of the positive film circuit board, environmental stress is regulated and controlled, and a dry film cross-linked network is guided to be uniformly and fully subjected to post-curing, so that a molecular structure of an exposure area is directionally converted into a high-stability state from a metastable state, and a perfect anti-plating pattern with sharp edges and no sawteeth is formed during developing; therefore, the line dog tooth defect in the positive film process is stably and effectively eliminated.

The invention relates to a multi-factor-driven coast beach health comprehensive evaluation system, and aims to solve the problems of one-sidedness, subjectivity and lack of systematicness in the existing evaluation technology. In the multi-factor-driven coast beach health comprehensive evaluation system, numerous factors influencing beach health are systematically divided into three categories, namely a physical process core factor used for calculating physical stability; the system state and the environment regulation factor are used for representing the landform ecological condition; and the human activity and environmental pressure factors are used for correcting the evaluation result. The innovation point of the invention lies in that a'drive-state-pressure 'three-layer logic evaluation framework is constructed, and multi-section state scientific classification from'health', 'sub-health 'to'harmful' can be realized. The method overcomes the limitation of traditional evaluation, achieves the comprehensive, dynamic and precise diagnosis of the health state of the sand beach, and provides a powerful decision basis for the scientific management, ecological restoration and disaster prevention and reduction of a coastal zone.

The invention relates to the field of data anomaly analysis, in particular to an environment anomaly analysis method based on sheep breeding environment monitoring data, and the method comprises the steps: obtaining an initial prediction error of a sheep house environment through a long and short term memory prediction model; analyzing the relative humidity change characteristics to obtain a conventional operation false alarm inhibition factor; modeling is carried out on the environmental stress degree and the cumulative influence to obtain a persistent risk amplification factor; correcting the initial error by fusing a conventional operation false alarm suppression factor and a persistent risk amplification factor to obtain a final risk score; the environmental anomaly assessment is obtained by performing joint assessment on the dynamic relative risk and the physiological stress risk, so that the problems that conventional operation is easy to report mistakenly and persistent anomaly is easy to report omission are solved.

The application provides a method and system for evaluating the cumulative impact of the pressure on the seabed habitat, comprising the following steps: identifying the physical pressure affecting the seabed habitat and recording the corresponding pressure benchmark intensity; identifying the environmental pressure and recording the corresponding pressure intensity; scoring the sensitivity of the physical pressure and the environmental pressure according to the characteristics of different types of seabed habitats and the habits of the inhabiting organisms to obtain a scoring result; calculating the pressure intensity of the physical pressure in the kth year of the marine activity based on a physical pressure reduction model according to each physical pressure and the pressure benchmark value of the physical pressure in the starting year; then calculating the pressure of the physical pressure type in the current year; calculating the environmental pressure in the target year; and accumulating the pressure of the physical pressure type in the current year and the environmental pressure in the target year to obtain the cumulative pressure in the target year, so as to realize the dynamic, multi-activity and multi-year comprehensive evaluation of the impact of the pressure on the seabed ecosystem.

The present application relates to the technical field of wisdom management and maintenance, in particular to an ecological green land dynamic monitoring method and system based on AI, comprising the following steps: using a deep learning algorithm to analyze the nonlinear correlation between the growth state of vegetation and environmental stress factors, generating habitat health degree evaluation results, calculating the growth deviation vector of the current state characteristics and the standard habitat model, generating corresponding precise management and maintenance control instructions based on the deviation calculation results and feeding back the on-site execution terminal. In the present application, by establishing a deep fusion analysis mechanism of multi-modal data, intelligent perception and decision-making of the whole life cycle of pocket parks and three-dimensional green space are realized, breaking the limitations of traditional manual inspection in time and space coverage, solving the technical problems of fragmented green habitat data islandization and management and maintenance lag, using dynamic monitoring and real-time feedback closed loop to significantly improve the timeliness of pest warning and the accuracy of resource allocation, ensuring the biodiversity and functional stability of ecological space.

This invention discloses a method and system for ecological risk assessment of waste facility site selection, relating to the fields of ecological environment management and spatial planning technology. Addressing the shortcomings of existing methods for ecological risk assessment of waste facility site selection—namely, their inability to quantify dynamic interactions between species, their inability to simulate cascading disturbance effects, and their lack of long-term systematic risk quantification—this invention involves constructing a probabilistic model integrating high-order ecological dynamic processes, multi-source observation data, environmental stress, and spatial effects; utilizing efficient algorithms for parameter estimation; quantifying the multi-dimensional stability of the ecosystem; simulating the dynamic cascading effects caused by facility operation; and constructing a long-term ecological risk index integrating spatiotemporal factors. Finally, combining Pareto front analysis to achieve multi-objective optimized site selection and generate an ecological compensation priority map. This invention overcomes the limitations of traditional static assessments, achieving a closed loop from dynamic simulation of ecological mechanisms to scientific risk decision-making, significantly improving the scientific rigor of site selection assessment and the accuracy of decision support.

This invention discloses a method for improving the environmental stress resistance of fish by subjecting them to intermittent hypoxia training. The method includes: maintaining dissolved oxygen (DO) in the water at normoxic levels; setting a fixed time window daily to begin deoxygenation treatment, causing DO to drop to a target hypoxic level within a specified time and maintaining this target hypoxic level for a period of time; subsequently, reoxygenating to restore DO to normoxic levels. This intermittent hypoxia training is conducted continuously, with water quality indicators maintained within a suitable range for the target fish during the training period. After the training is completed, the resistance of the target fish is evaluated. This invention is simple to operate. After intermittent hypoxia training, the LOE threshold of the target fish decreases under hypoxic stress, and their hypoxia tolerance is improved. The fish also exhibit enhanced antioxidant capacity and reduced lipid peroxidation levels under hypoxic, high-temperature, and high-ammonia nitrogen stress, providing cross-protection for fish populations growing under various environmental stresses.