41 results about "Ecosystem health" patented technology

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 discloses a mangrove forest distribution information extraction method based on deep learning and remote sensing images, and the method comprises the steps: firstly, constructing a spatial diagram fusing ecological priori knowledge such as hydrological connectivity, and extracting high-dimensional features containing a complex space-time dependence relation from an irregular satellite image time sequence through employing a PG-STGT network; a physical information guided antagonism decoupling mechanism is subsequently adopted to explicitly decompose the high-dimensional feature into three subspaces. And finally, according to the method, a high-robustness distribution diagram is generated by applying the decoupled identity feature vectors, and a multi-dimensional mangrove forest health index is generated by using residual error abnormal features. According to the method, the physical mechanism and deep learning are deeply fused, the time consistency of the classification result is improved, and the ability of diagnosing the health condition of the ecological system is provided.

The invention discloses a forest ecosystem monitoring system and method based on space-time big data, and relates to the technical field of data processing systems. The system comprises a multi-source heterogeneous data acquisition and preprocessing module, an ecological process mechanism embedded spatio-temporal feature extraction module, a self-adaptive dynamic state characterization and evolution module, an abnormal event early perception and causal traceability module and a multi-dimensional ecological function comprehensive evaluation and early warning module. The method comprises the following steps: collecting and processing multi-source heterogeneous spatio-temporal data to generate a multi-source spatio-temporal data set; extracting a multi-dimensional spatio-temporal feature vector; constructing a dynamic forest state characterization model, and generating a forest state index map; executing abnormal event early perception and causal traceability analysis; and evaluating the health state of the forest ecosystem and generating early warning information. According to the method, the characterization capability of the complex ecological process is improved, more accurate and coherent dynamic description of the ecological system state is realized, and a reliable basis is provided for ecological management and decision making.

The invention relates to an ecological system health space-time driven attribution analysis method based on IGTWR-XGBoost, and the method comprises the steps: obtaining an ecological system health index of a target region, calculating the ecological system health index of the target region according to the ecological system health index, and collecting a multi-source driving factor; constructing an interactive geographic space-time weighted regression model according to the multi-source driving factor, the ecological system health index and a geographic-time weighted regression model; acquiring a multi-dimensional local regression coefficient matrix according to the interactive geographic space-time weighted regression model; correcting a multi-source driving factor according to the multi-dimensional local regression coefficient matrix to form a space-time enhanced feature matrix; and inputting the space-time enhanced feature matrix into an XGBoost model, and obtaining a prediction result of the ecological system health index and global and local contribution values of each driving factor. According to the invention, the accuracy and reliability of ecosystem health driving mechanism analysis can be significantly improved.

The invention relates to the technical field of ecological system health evaluation, in particular to a bay ecological system health evaluation method, which comprises a PSR model framework part and an entropy weight method-EQR calculation part, and improves the accuracy of ecological system health evaluation of different regions of a bay. According to the bay ecosystem health evaluation method, an evaluation index system of bay ecosystem health is constructed from three levels of pressure, state and response based on a PSR theoretical framework, standardized selection is performed on index selection, assignment weights of the selected indexes are calculated through an entropy weight method, and on this basis, an EQR index is used for calculating a final result, so that a bay ecosystem health evaluation result is obtained. According to the bay ecological health evaluation method, multi-category division, index selection, weight assignment and EQR index calculation with allowable deviation are performed on the bay area, bay ecological health state grade division is performed on the obtained data, and the visual and accurate bay ecological health evaluation method is formed.

The invention discloses a water ecosystem safety assessment method for cascade reservoir development, and relates to the technical field of water ecology and environment assessment. Comprising the following steps: constructing a water ecosystem safety assessment multi-dimensional index system under cascade reservoir development; acquiring data of the cascade reservoirs and performing standardization processing; determining the initial weight of each index, and dynamically adjusting the weight of each index; calculating a static safety index; calculating a dynamic toughness index; calculating a comprehensive safety index according to the static safety index and the dynamic toughness index; and according to the size of the comprehensive index, determining the safety level of the water ecosystem in cascade reservoir development, establishing an early warning mechanism, and identifying the key influence index. According to the method, ecosystem toughness quantification is incorporated into an evaluation system, the cumulative effect and dynamic change of the cascade reservoir can be reflected, comprehensive and dynamic evaluation of the health condition of the watershed water ecosystem under the influence of the cascade reservoir is realized, and a scientific basis is provided for watershed ecological protection and reservoir ecological scheduling.

The invention discloses a water ecological health assessment method based on sensitive species and community stability. The method comprises the following steps: step 1, identifying key species and sensitive species; 2, quantifying ecological system stability indexes, and calculating stability attributes based on plankton community composition time and functional time sequence data; step 3, constructing a multi-dimensional evaluation index system; step 4, data standardization processing: carrying out data cleaning, standardization and dimension reduction processing on the multi-dimensional evaluation indexes; 5, determining an index weight based on an entropy weight method; step 6, calculating an ecological health quality index; and step 7, ecological system health state evaluation: according to the ecological health quality index value, evaluating the ecological system health state and carrying out grading so as to provide a basis for management decision making. According to the method, the nutrition cascade effect and the species interaction can be captured; ecological system degradation can be early warned, and the accuracy of ecological health assessment and the pertinence of environment management are improved.

The invention discloses a tea garden ecosystem health evaluation method and system based on landscape multifunctionality. The method belongs to the technical field of tea garden management and ecological environment evaluation, and comprises the following steps: determining tea garden ecological system health evaluation indexes in four aspects based on an'vitality-organization power-restoring power 'framework and in combination with an ecological system service theory; a three-layer hierarchical structure model is constructed through an analytic hierarchy process, index weights are calculated in combination with an entropy weight method, feature importance sorting is performed on indexes by adopting a random forest algorithm, and an evaluation index system is constructed; carrying out dimension reduction processing on the indexes by utilizing a principal component analysis method and calculating weights; and based on the evaluation index and the weight after dimension reduction processing, calculating a comprehensive health score of the tea garden ecosystem by adopting a weighted summation method, and performing grading. By integrating various theories and methods, the health condition of the tea garden ecosystem is evaluated comprehensively and objectively, a scientific basis is provided for management and protection of the tea garden, and sustainable development of the tea garden ecosystem is promoted.

The invention relates to the technical field of data analysis, in particular to a river water ecosystem health evaluation method and system, a medium and a product, and the method comprises the steps: obtaining a plurality of criterion indexes and criterion index data corresponding to each criterion layer of a to-be-evaluated river; obtaining an index assignment value corresponding to each criterion index based on a preset index assignment neural network model and each criterion index data; obtaining a preset index weight and a preset criterion layer weight corresponding to the to-be-evaluated river, and determining a river health comprehensive score corresponding to the to-be-evaluated river based on the preset index weight corresponding to the to-be-evaluated river, the preset criterion layer weight and each index score; and determining the health condition grade of the to-be-evaluated river based on the river health comprehensive score. The method is convenient for improving the accuracy of health evaluation of the river water ecosystem.

The invention relates to the technical field of ecological environment assessment, and discloses a regional ecological risk assessment method coupling ecological system health and service, which is suitable for land utilization policy formulation and risk management of large-scale regions such as drainage basins and ecological sensitive areas.

The application discloses a water ecological health evaluation method based on ecological integrity and application thereof, divides an evaluation index system into a target layer, a criterion layer, a factor layer and an index layer, adopts a differentiated benchmark determination method for indexes of different types based on ecological integrity, adopts a method combining an entropy weight method and an analytic hierarchy process for core indexes, quantitatively and qualitatively analyzes problems, and finally displays the health status of a water ecological system in the form of graphic marking and color zoning which is easy to understand. In summary, the application can comprehensively, scientifically and accurately evaluate the health status of a water ecological system, and is helpful to promote water ecological examination and provide a scientific basis for water ecological management and restoration.

The invention provides a loess plateau hilly and gully region small watershed ecological function zoning treatment method and device, and the method comprises the steps: calculating an ecological system health index of a target region based on an ecological system health index model; according to the ecosystem health index of the target area and the human footprint index of the target area, standard scores of the ecosystem health index and the human footprint index are calculated respectively; according to the standardized ecological system health index of the target region and the standardized human footprint index of the target region, determining the coupling coordination degree of the two; introducing the standard score of the ecological system health index and the standard score of the human footprint index into a four-quadrant model, and determining four-quadrant partitions of the target region; and based on the coupling coordination degree and the four-quadrant partition, determining the ecological characteristic regions to which the target regions belong, so as to carry out partition treatment. According to the method, the sustainability of the regional landscape can be scientifically improved, and benign interaction between people and a natural system is promoted.

The invention discloses an intermittent river reach ecological health evaluation method based on river ecosystem integrity. The invention relates to the technical field of river ecosystem integrity evaluation, and aims to solve the problem that the existing river ecosystem integrity evaluation method cannot accurately indicate the intermittent river reach health condition at present. According to the method, an evaluation index system for constructing the integrity of the intermittent river reach ecological system from three aspects of hydrology, habitat and biology is established, the three systems are endowed with weights by applying an analytic hierarchy process, and the comprehensive score of ecological health evaluation of the perennial flow river reach and the intermittent river reach is obtained through weighted averaging. And comprehensively evaluating the health condition of the intermittent river reach ecosystem. According to the method, the defect that the current watershed water ecosystem health evaluation method cannot be applied to the intermittent river reach is overcome, and the ecological health condition of the intermittent river reach can be reflected.

The invention discloses an ecological system health management and control zoning method. According to the method, an ecological system health evaluation model of an'vitality-organization power-restoring power-ecological system service function 'framework is constructed, the ecological system health level is quantified, and the ecological system health level is divided into five levels, namely a poor level, a relatively poor level, a general level, a relatively excellent level and an excellent level by adopting a natural breakpoint method. In combination with the county scale, according to the comprehensive health level grade and the dynamic change type, an emergency control area, a strict control area, a dynamic control area, a prevention management area and a sensitive monitoring area are divided, and accurate control is implemented. According to the invention, a scientific basis is provided for accurate evaluation and partitioned management and control of urban agglomeration ecosystem health, and regional ecological civilization construction and high-quality development can be promoted.

This invention discloses a method, system, and apparatus for water body extraction based on conditional random fields and sub-pixel localization, relating to the field of remote sensing image processing technology. The method includes: preprocessing the data to be extracted to obtain low-resolution raw data, then inputting it into the generator network of a super-resolution generative adversarial network model to obtain corresponding high-resolution image data after super-resolution reconstruction; performing image binarization and connected component processing on the high-resolution image data to remove noise and obtain potential water body regions; expanding the boundaries of the potential water body regions according to a preset threshold to generate a lake buffer super-resolution image; and segmenting the lake buffer super-resolution image into several superpixel objects to obtain the final water body extraction result. The water body extraction method for the Larsmann Hills region in Antarctica obtained by this invention can provide a deeper understanding of the stability of the Antarctic ice sheet, hydrological cycle, ecosystem health, and the impact of global climate change.

The invention relates to an ecological system service loss assessment method and system suitable for arid and semi-arid regions, and the method comprises the steps: employing an arthropod Shannon diversity index, a vegetation average height and the soil organic matter content as key indexes, employing a minimum-maximum standardization method to carry out the normalization processing of each index in the key indexes, introducing an entropy weight method to weight each index so as to calculate a weight value of each index; and then calculating ecological integrity indexes of the contrast region and the fragmentation region, further calculating an ecological integrity loss rate, and calculating an economic loss amount of the ecosystem in combination with a region area and a unit area ecosystem service value, thereby quantitatively evaluating an ecological service value loss condition caused by human activities. The method can comprehensively reflect the degradation path and economic consequences of the ecological system under agricultural interference, provides a scientific basis for ecological compensation, recovery priority judgment and environmental policy making, and realizes quantitative evaluation of the health condition of the ecological system.

The invention provides a regional ecosystem health and hydrothermal condition collaborative optimization method, and the method comprises the steps: evaluating the ecosystem health and hydrothermal conditions of a region respectively; evaluating the coupling coordination relationship between the ecological system health and the hydrothermal condition based on the coupling coordination degree quantified by the coupling coordination degree model; the driving rule of the coupling coordination relation is explored in combination with a geographic detector and multi-scale geographic weighted regression, and a differential improvement strategy of the coupling coordination degree is proposed for different geographic features in a region based on a driving analysis result so as to promote collaborative optimization of health and hydrothermal conditions of a regional ecological system. According to the method, collaborative optimization of regional ecological system health and hydrothermal conditions is promoted more reasonably, comprehensively and accurately, and scientific support is provided for regional ecological management and ecological civilization construction.

The invention provides a health evaluation method and system for a mountain river ecosystem based on a food web, and relates to the technical field of ecological environment science and aquatic ecology, and the method comprises the steps: collecting data of the mountain river ecosystem; constructing an Ecopath model database according to the mountain river ecosystem data; according to the Ecopath model database, an Ecopath model is constructed; and establishing an ecological system evaluation method based on an Ecopath model, and performing health evaluation. The method comprehensively considers the interaction, physical and chemical environmental factors and unique hydrological characteristics of the multi-trophic-level biocenosis of the mountainous river, and solves the problem that the traditional evaluation method neglects the structure and function of the food web and is difficult to accurately quantify the ecological health condition. And a new technical means is provided for protecting and managing a river ecosystem in a mountainous area under the interference of climate change and human activities.

This invention relates to the field of reservoir ecological management technology, and more particularly to a reservoir ecological scheduling method, system, and storage medium. The method includes the following steps: acquiring multi-source parameters of the reservoir's vertical profile using a sensor array to obtain an original profile dataset; characterizing the sediment-water mass exchange intensity of the original profile dataset to obtain a comprehensive exchange flux index; stratifying the reservoir according to the comprehensive exchange flux index to obtain a reservoir stratification structure map; performing seasonal-depth partitioning based on the reservoir stratification structure map to obtain a stratified statistical feature set; correlating the stratified statistical feature set with ecological security responses to obtain an ecological security domain map; and analyzing the exchange flux and scheduling constraints based on the ecological security domain map to obtain an exchange flux deviation table and a set of scheduling constraints. This invention provides a scientific scheduling method for the health of the reservoir ecosystem through the synergistic optimization of water level control and stratified water release.

The invention provides a bay ecosystem health evaluation zoning method based on tidal range, belongs to the field of marine ecological environment management and evaluation, and mainly aims at typical bays, especially closed and semi-closed bays. On the basis of long-time series tidal range data, a threshold determination method coupled with'spatial hierarchical clustering + natural discontinuity point + contour coefficient 'multistage correction is adopted, different management requirements are served by utilizing multistage clustering, the requirements of simplicity and fineness of management are considered, the visualization of a partitioning result is realized, and a typical bay partitioning scheme is finally obtained; according to the scheme, the zoning method based on the tidal range is established to reflect the difference characteristics of the water body in the typical bay, and a stable and repeatable zoning boundary is obtained, so that a health evaluation result is more reasonably obtained, and the method has important guiding significance for scientific evaluation and management of the health condition of an ecological system.

The present invention discloses a trend prediction and early warning method for evaluating the health of a bay ecosystem, relating to the field of bay ecological early warning technology. The method comprises the following steps: collecting bay ecological monitoring data and dividing the monitoring data into historical data and real-time data, wherein the monitoring data includes water quality data, geological data, and hydrometeorological data; preprocessing the collected monitoring data; screening for factors influencing the bay ecosystem, wherein the factors influencing the bay ecosystem include physical factors and chemical factors; and utilizing the preprocessed historical data and the factors influencing the bay ecosystem. By constructing a bay ecological prediction model, the present invention predicts the trend of the ecosystem health status over a period of time in the future based on historical data and real-time monitoring information, enabling relevant departments and the public to take action before problems occur and effectively prevent potential ecological risks.

The invention discloses a safety pattern construction method based on ecosystem health and service supply scarcity. The method comprises the following steps: S1, constructing an ecological health evaluation system in a land-water-bay triple coupling perspective; s2, simulating the ecological system service supply quantity of water yield, water quality purification and soil conservation by using an InVEST model, calculating the carbon storage quantity in combination with a CASA model, performing statistics on demand data, and constructing an ecological system service supply scarcity index; s3, integrating the ecological health comprehensive index and the ecological system service supply scarcity index by using range standardization and an entropy weight method to generate an ecological safety pattern; according to the method, a three-stage progressive ecological safety pattern of'ecological health diagnosis-supply scarcity early warning-ecological safety pattern identification 'is generated according to land and water interaction characteristics of the bay city, so that a basis is provided for ecological partition management of the bay city, and an important reference is also provided for ecological protection comprehensive treatment of land-sea overall planning.

The invention discloses a territorial space planning environment influence monitoring method, which belongs to the technical field of territorial space planning, and comprises the following steps: dynamically monitoring and collecting heavy metals, organic pollutants, pH value content concentration, vegetation coverage and biological diversity of each piece of monitored soil in territorial space planning by using a data monitoring and collecting module; a data processing and analyzing module is used for sequentially calculating and outputting a soil pollution index TW, an underground water pollution risk index DS and an ecological system health index JP, and based on different score ranges set by a score setting and analyzing unit and the ecological system health index JP of each piece of monitored soil, the score setting and analyzing unit is used for determining the ecological system health index of each piece of monitored soil. According to the technical scheme of the invention, the dynamic sorting and comparison of the priorities and the analysis of existing problems are carried out according to the characteristics of the system, so as to provide improvement suggestions, and the system has the beneficial effects of comprehensiveness, systematicness, real-time performance and perfect feedback mechanism, and provides a more scientific, accurate and practical technical means for the environmental impact monitoring of territorial space planning.

The present invention relates to a device and a method for integrated monitoring of an aquatic ecosystem based on IoT technology and machine learning technology. The device comprises: an underwater state monitoring unit for acquiring water quality information, aquatic organism community information, and habitat state information through a mobile monitoring device and a fixed monitoring device remotely installed underwater, and then wirelessly transmitting the acquired information using an IoT communication method; an environment monitoring unit for collecting environment information by accessing an external environment monitoring device via the Internet; a data collection unit for preprocessing the water quality information, the aquatic organism community information, the habitat state information, and the environment information into a data form recognizable by a machine learning model, and then collecting and storing the preprocessed data as aquatic ecosystem information; a data analysis unit including a machine learning model in which a correlation between aquatic ecosystem information and aquatic ecosystem health state has been pre-trained, the data analysis unit predicting an aquatic ecosystem health state corresponding to currently acquired aquatic ecosystem information through the machine learning model and then providing guidance to a user; and a power supply unit for generating driving power from commercial power and directly supplying the driving power to the data collection unit and the data analysis unit through an internal power line, and wirelessly supplying the driving power to the underwater state monitoring unit through Power over Ethernet communication.

The invention relates to the technical field of ecological monitoring, in particular to an ecological system health monitoring system and method based on biological indicator species, and the method comprises the steps: screening out the biological indicator species from a species database according to a monitoring target; collecting biodiversity data, biomarker data and environmental data of the monitoring area based on the screened biological indicator species; integrating the collected data, executing ecological health assessment, habitat quality assessment and spatial-temporal change analysis, and predicting the change trend of the ecological system based on assessment and analysis results; and evaluating the service function of the ecological system based on the prediction result, establishing a quantitative correlation model between the key indexes of the biological indication species and the service function, making an ecological protection and restoration strategy according to the quantitative correlation model, and completing dynamic evaluation of the health condition of the ecological system. According to the method, the future health trend of the ecological system can be scientifically pre-judged, and key early warning is provided for potential ecological risks.

The invention discloses a coulomb ecosystem health evaluation method and system based on multi-dimensional data, and relates to the technical field of ecosystem health evaluation, and the method comprises the steps: obtaining multi-dimensional monitoring data of a target ecological region, and carrying out the time-space alignment processing, and obtaining the deep features of all dimensions; establishing a causal inference network of deep features, and performing anti-factual inference in combination with time-delay response characteristics to generate a causal association structure; dividing features of a driving layer and a response layer according to a causal conduction path, and calculating a dynamic weight; performing knowledge verification by adopting a priority reconciliation strategy, and establishing a health state reference benchmark; constructing an adaptive fuzzy membership function to obtain a membership function set; and constructing an evaluation model by using the dynamic weight and the membership function set, inputting deep features to obtain a comprehensive health evaluation index, and determining a health level. The method can accurately evaluate the health condition of the coulomb ecosystem.

The present invention discloses a method for delineating water environment health risks in areas with a black rock geological background. The method achieves a comprehensive assessment of human health risks by analyzing the degree of exposure of the population to different types of pollutants, and comprehensively assesses ecosystem health risks by obtaining ecological diversity data of sampling points in a target study area using environmental DNA technology. The method predicts the future potential risks of different types of pollutants to multiple sampling points by constructing a coupling model of a risk prediction big data model and a migration and diffusion model. The method can comprehensively utilize the human health risks and ecosystem health risks of multiple sampling points, the prediction results of future potential risks, environmental data, different types of pollutants, and the corresponding concentrations of different types of pollutants, and combine it with the spatial analysis function of ArcGIS to achieve accurate delineation and visualization of the overall water environment health risks.

The application relates to the technical field of data analysis, in particular to a river water ecosystem health evaluation method and system, medium and product, which comprises the following steps: acquiring a plurality of criterion indexes and criterion index data corresponding to each criterion layer of a to-be-evaluated river; obtaining an index score value corresponding to each criterion index based on a preset index scoring neural network model and the criterion index data; acquiring preset index weights and preset criterion layer weights corresponding to the to-be-evaluated river; determining a river health comprehensive score corresponding to the to-be-evaluated river based on the preset index weights, the preset criterion layer weights and the index score values corresponding to the to-be-evaluated river; and determining the health condition grade of the to-be-evaluated river based on the river health comprehensive score. The application facilitates improving the accuracy of health evaluation of the river water ecosystem.

This invention discloses a method and system for assessing the resilience of aquatic ecosystems based on dynamic baselines. The method includes: establishing a dynamic baseline; obtaining a time series sequence of the comprehensive water quality index of a target water body over historical periods; extracting the trend component, seasonal component, and residual component from the time series sequence of the comprehensive water quality index; constructing a dynamic baseline and its confidence interval that varies over time; and calculating an aquatic ecosystem resilience index based on an adaptive index, a self-repair index, and a self-purification index. This invention overcomes the shortcomings of existing static assessments and single-dimensional assessments by using a dynamic baseline and a three-dimensional resilience assessment framework, thereby improving the dynamics and comprehensive characterization of aquatic ecosystem resilience and enabling accurate diagnosis and adaptive evaluation of the health status of aquatic ecosystems.

The present application belongs to the field of ecological evaluation and remote sensing monitoring technology, and discloses a multi-index fusion regional ecosystem health evaluation method; based on multi-temporal remote sensing image data and environmental disturbance records, an evaluation system including three dimensions of spectral fluctuation characteristics, spatial heterogeneity structure and ecological elasticity is constructed. Through the fluctuation complexity analysis of the spectral time sequence, the time stability of the ecological system is evaluated; through the micro-area spectral heterogeneity distribution and the identification of ecological boundary mutation zone, the spatial structure complexity is quantified; through the disturbance response trajectory analysis, the system elasticity and recovery ability are evaluated. The high vegetation coverage-low heterogeneity feature is introduced to identify the artificial ecological region, and the quality attenuation correction is carried out based on the fluctuation characteristics and the elasticity characteristics, so that the evaluation deviation caused by a single index is effectively avoided. The present application realizes the comprehensive and scientific evaluation of the health state of the regional ecosystem, and provides a reliable basis for ecological protection, restoration decision and resource optimization allocation.