17 results about "Carrying capacity" patented technology

The invention discloses a data processing method for grassland bearing capacity dynamic evaluation and grazing planning, and belongs to the technical field of grassland ecological management, animal husbandry production informatization and data intelligent decision making. Aiming at the technical problems that a traditional static evaluation method neglects grassland productivity dynamic change and a grazing feedback effect, so that the resource utilization efficiency is low and grassland degradation is easily caused, the method dynamically predicts grassland bearing capacity and optimizes a grazing plan through iterative circulation, recursive calculation is carried out in combination with meteorological data and grazing consumption, and the grassland bearing capacity is evaluated. Collaborative optimization of the bearing capacity threshold value and the grazing plan is achieved, and rolling updating is supported. The method can be used for generating a scientific and dynamic grazing scheme, and the utilization efficiency and ecological sustainability of grassland resources are improved.

According to the bionic fish capable of releasing the bait, a fish luring device is detachably connected with a middle cabin section in the bionic fish and is in communication control connection with a control unit of the bionic fish, so that the fish luring device is controlled to release the bait for luring the fish; the fish luring device can be designed in a modularized mode, and the contradiction that in the prior art, bait carrying capacity and movement performance are difficult to consider at the same time is effectively solved. The fish luring device serves as an independent module, is detachably connected with the middle cabin section of the bionic fish and keeps communication with the control unit, the fluid performance and movement concealment of the bionic fish are kept, accurate control over bait release can be achieved, and compared with a traditional integrated design, the fish luring device is simple in structure and convenient to use. The problems of water body disturbance and noise caused by excessive volume enlargement or power enhancement due to bait carrying requirements are avoided; in addition, the fish luring device can be quickly replaced according to operation requirements, the equipment adaptability is improved, the fish luring effect is enhanced, the maintenance process is simplified, and the use convenience is improved.

A sea ice habitat restoration system is configured to rapidly extract pack ice and raft it onto level ice to establish disturbance corridors that augment the ecological carrying capacity and resistance to continuing climate change. The deployable system is configured to be mounted on an icebreaking ship and includes a inclined-plane ice ramp supported by an ice rafting device. The system applies a hogging moment to the extracted sea ice and laterally rafts it with minimal damage, facilitating the restoration of sea ice habitats of threatened ice-obligate and ice-associated species. This ship-mounted version produces significantly greater volumes, additional vertically and horizontally arranged layers, and more widely distributed composite masses of freeze-bonded rafted ice over the course of a w inter compared to the singly rafted ice passively produced by the moored version referenced herein.

This utility model discloses a resource-based insect breeding rack, including a support frame and multiple breeding baskets stacked on the support frame. The support frame consists of a tray and four sets of legs evenly distributed at the four corners of the bottom surface of the tray. The top surface of the tray has right-angled supports at the four corners to accommodate and hold the breeding baskets. The bottom surface is provided with crisscrossing reinforcing ribs in a grid-like structure, integrally formed with the tray. A barcode scanning plate is located at the center of the grid-like reinforcing ribs, with a QR code label affixed to it. The advantages of this utility model are that it enables three-dimensional breeding of resource-based insects, not only increasing the insect carrying capacity but also significantly saving space, increasing breeding density, and ensuring breeding profitability. It facilitates quick and easy information retrieval via barcode scanning, allowing for precise tracking and management of the breeding baskets on the tray during the breeding process, achieving information-based management of resource-based insect breeding, and improving breeding efficiency and management accuracy.

This invention provides a method for assessing the carrying capacity of deep-sea resources and environment based on spatiotemporal big data technology, belonging to the technical field of deep-sea resource and environmental carrying capacity assessment. This invention extracts multi-scale ocean dynamic mode data using a tidal harmonic-empirical mode hybrid decomposition algorithm, reconstructs a three-dimensional flow field using a domain decomposition parallel finite element method, applies non-stationary spatiotemporal Gaussian process regression for spatiotemporal interpolation, constructs a modular biogeochemical model to simulate nutrient cycling, inputs the processed data into an artificial intelligence-based deep-sea environmental carrying capacity assessment model, optimizes the model structure using a dynamic topology reconstruction sparse connectivity learning framework, and adjusts the pruning probability threshold using a topology adjustment function based on the comprehensive carrying capacity evaluation index. This solves the technical problem of achieving high-precision assessment and adaptive optimization of the model structure under multi-source heterogeneous ocean data conditions in deep-sea resource and environmental carrying capacity assessment models.

This invention relates to the field of resource and environmental protection technology, and in particular to a method for evaluating the resource and environmental carrying capacity of island cities based on ecosystem service functions. The comprehensive evaluation index of ecosystem services obtained through the assessment and calculation of ecosystem service functions is applied to the rapid assessment of resource and environmental carrying capacity, providing decision support for regional ecosystem protection and sustainable development.

The application provides a wetland ecological stability evaluation system and method, which first acquires ecological monitoring data of a target wetland in an ecological health management cycle; determines a purification recession index of self-purification capacity of the target wetland changing with time according to purification evaluation characteristics, and judges whether the target wetland is in an ecological stress state in the ecological health management cycle; if the target wetland is in the ecological stress state, determines an ecological resilience index of the target wetland according to the purification evaluation characteristics and a vegetation succession state of the target wetland in an ecological change trend, if the target wetland is in a benign self-maintenance stage, determines a health carrying capacity of the target wetland through the ecological resilience index and water storage interference characteristics of the target wetland; evaluates ecological stability of the target wetland through the health carrying capacity, and outputs a pre-diagnosis result of the ecological stability of the target wetland. Based on the above scheme, the pre-diagnosis of the full-dimension evaluation of the ecological stability of the wetland can be realized, so that the accuracy of the evaluation of the ecological stability of the wetland is improved.

The invention belongs to the technical field of ocean information, and relates to an offshore ecological bearing capacity area division method based on an artificial intelligence large model. The method comprises the following steps: collecting and preprocessing multi-source data, and constructing the preprocessed data into a feature library of a dynamic ecological health condition evaluation index system; an ecological bearing capacity label is designated as a scene feature, a'pressure-state-response 'dynamic ecological health state evaluation index system is constructed, the ecological health state of a concerned object is evaluated, and analysis is carried out according to state parameters in an evaluation result state; performing clustering analysis on the ecological parameters in the state to obtain a preliminary region division result; and optimizing the obtained preliminary region division result by adopting a multi-objective function to obtain a final region division result. According to the method, through multi-source data fusion, AI large model dynamic evaluation and adaptive optimization division, accurate and real-time region division is realized, and scientific decision support is provided for ocean management.

The application discloses a land carrying capacity monitoring and analyzing method based on big data, relates to the technical field of environmental resource monitoring, and comprises the following steps: establishing a time series database for monitoring indexes, decomposing the trend fluctuation of the historical data of each index to distinguish the trend component and the short-term fluctuation component; identifying and removing false change signals caused by short-term fluctuation based on the number of consecutive same-direction fluctuation and the historical fluctuation amplitude of the short-term fluctuation component; calculating the average values of the trend components of the recent window and the base window according to the trend component after removing the short-term fluctuation, obtaining a trend change index, and determining the change direction of each index according to the size of the index; distributing corresponding score values according to the change direction of each index, and calculating a comprehensive carrying capacity trend score; determining the regional carrying capacity change trend type according to the comprehensive carrying capacity trend score, dividing an early warning level, and outputting a monitoring early warning result.

This invention relates to the field of ecological carrying capacity estimation technology, and discloses an ecological carrying capacity estimation system and method based on multi-source remote sensing data. The system integrates multi-source remote sensing data with actual ground-collected data through a data acquisition module, and divides the region into grids. It can construct basic ecological carrying capacity grid by grid, significantly improving the spatial resolution and data richness of the assessment. This overcomes the shortcomings of traditional statistical methods, such as single data and coarse spatial representation. Then, through an ecological carrying capacity assessment module, the basic ecological carrying capacity is integrated with three impact assessment directions: landscape restoration impact, nighttime light intrusion, and supply-demand differences. The resulting actual ecological carrying capacity construction retains the objectivity of remote sensing data-driven approaches while incorporating multi-dimensional anthropogenic and natural disturbance factors. It comprehensively reflects the true carrying capacity of the regional ecosystem, providing a scientific basis for resource management, ecological compensation, and sustainable development policy formulation.

A method for intensive artificial breeding of *Procambarus clarkii* (red swamp crayfish) relates to the field of aquaculture technology. This intensive breeding device includes broodstock nesting and mating structures and berried crayfish hatching and larval rearing structures, respectively installed in broodstock rearing ponds and hatching and larval rearing ponds. The broodstock nesting and mating structures include a perch frame and an inner nest. The perch frame is a right-angled trapezoidal frame with multiple partitions in the middle. The inner nest is also a right-angled trapezoidal body with multiple perch burrows inside. The berried crayfish hatching and larval rearing structures include a hatching and rearing frame, hatching nest units, and side nets. This device effectively improves the space utilization rate of broodstock and larvae in the broodstock rearing ponds and hatching and larval rearing ponds, significantly increasing the carrying capacity and stocking density of broodstock and larvae per unit water volume. This invention also discloses an intensive artificial breeding method, realizing the intensive and large-scale production of berried crayfish and larvae of *Procambarus clarkii*, increasing production capacity by more than five times.

To provide a regional capacity assessment method based on water resource availability characteristics.SOLUTION: A method comprises: a step 1 of collecting water resource data and spatial data to determine water resource availability characteristics including distribution of water area in an assessment area, availability of groundwater, and climate conditions; a step 2 of constructing a mathematical model for simulating the distribution and availability of water resources; a step 3 of representing uncertainty of parameters in the model using a probability distribution; a step 4 of using a Monte Carlo simulation method to evaluate the model output results through random sampling, extracting a value from the distribution of the parameters and input data each time the simulation is executed, and implementing the water resource model to generate a simulation result; and a step 5 of calculating a regional water resource capacity. This method first takes into account the regional water resource availability characteristics, which makes the assessment more realistic and helps the model to better reflect the actual situation.SELECTED DRAWING: Figure 1

This invention relates to the field of remote sensing technology and discloses a remote sensing estimation method for ecological carrying capacity. The method includes: constructing a standard spatiotemporal benchmark for multi-source data fusion; using surface temperature as a nonlinear correction factor to adjust the gain of nighttime light and calculating a human activity pressure index; calculating the neighborhood thermal potential difference based on the thermodynamic gradient principle and converting it into a thermal radiation inhibition coefficient; combining water deficit and thermal radiation inhibition to correct and normalize potential productivity, obtaining a standardized effective ecological supply index; constructing a time-series recursive model with a missing compensation mechanism to calculate ecological fatigue; and finally, comprehensively calculating the ecological carrying capacity state by integrating the supply index, pressure index, and ecological fatigue. This invention solves the problems of nighttime light saturation overflow, inconsistent supply and demand dimensions, and lack of consideration for historical cumulative effects, achieving a dynamic and refined assessment of regional ecological carrying capacity.

This invention provides a method and system for identifying hotspots and cold spots in the ecological carrying capacity of hydropower projects and for zoning and managing them, applied in the fields of ecological environment monitoring and spatial statistics. This application first acquires multi-source basic data of hydropower projects, completes standardized preprocessing, and constructs a spatial weight matrix adapted to different disturbance patterns; then, through global and local spatial autocorrelation and hotspot statistics, spatial risk types are generated; subsequently, engineering disturbance correlation analysis is conducted to quantify risk contribution and identify key units; the evolution of hotspots and cold spots is dynamically assessed by combining multi-period data, and time-series indicators are quantified; finally, multi-dimensional information is integrated to delineate control zones, generate control recommendations, and integrate the entire chain of results to form a standardized control system, supporting precise management and control of ecological risks in hydropower projects.

The application discloses a dynamic monitoring and evaluation system based on marine ecological carrying capacity, relates to the technical field of marine ecological carrying capacity monitoring, and comprises an ecological monitoring module, an evaluation index calculation module, an index grading module and an ecological carrying capacity prediction module; the ecological monitoring module is used for monitoring ecological related data in the marine in real time; the evaluation index calculation module is used for calculating evaluation indexes of the marine ecological carrying capacity; the index grading module is used for evaluating the real-time state of the marine ecological carrying capacity; and the ecological carrying capacity prediction module is used for analyzing the change trend of the evaluation indexes, dynamically predicting the evaluation indexes, and performing prediction verification; the application is used for solving the problems that the existing marine ecological carrying capacity monitoring technology cannot effectively predict the marine ecological carrying capacity and the prediction result error is large, so that the marine ecological carrying capacity cannot be timely and effectively recovered.

The application discloses a seaweed carrying capacity intelligent evaluation method and system, and belongs to the technical field of seaweed intelligent management. The seaweed carrying capacity intelligent evaluation method comprises the following steps: collecting water quality parameters and water samples in real time, wherein the water quality parameters include dissolved inorganic nitrogen concentration, water temperature and light intensity; establishing a seaweed growth dynamic evaluation model coupled with hydrodynamics-ecosystem; dividing the target water area into multiple evaluation units according to the real-time collected data, and online calibrating the key physiological parameters in the established seaweed growth dynamic evaluation model to obtain the calibrated model; based on the calibrated model, setting multiple different seaweed cultivation density scenarios for simulation, predicting the biomass change of seaweed under each scenario and the influence of seaweed on water quality, and evaluating and outputting the seaweed carrying capacity according to the preset ecological threshold and index; and sending the seaweed carrying capacity obtained by evaluation to a remote monitoring center.