21 results about "River health" patented technology

The invention discloses a river health evaluation method suitable for northern water-deficient cities, and relates to the technical field of environmental science and engineering.The system comprises the following steps that the pH value, the dissolved oxygen concentration and the total electrolyte amount are monitored through a pH sensor, a dissolved oxygen sensor and a conductivity sensor, the river water surface, the river channel and the surrounding environment are monitored through a GIS, and the river health evaluation result is obtained. Comprising a land utilization type, a vegetation coverage rate and a river bank erosion condition, collecting environmental problems uploaded by the public through a mobile phone APP, and investigating the satisfaction degree of the public to the environment; a river health evaluation system is constructed, the trend of river health is predicted, and potential factors affecting river health are identified; and according to a prediction result, configuring a decision support system to assist in making a management strategy, and regularly reviewing and evaluating system effectiveness. The river health evaluation method and management system are continuously optimized by dynamically adjusting river management and protection work according to a dynamic adjustment result, and the river ecological system of northern water-deficient cities is effectively protected for a long time.

The invention discloses a river water quality inversion and health evaluation method and system based on satellite remote sensing, terminal equipment and a medium, and relates to the technical field of environment remote sensing monitoring. The method comprises the following steps: acquiring a time-space matched multispectral remote sensing image and ground actually measured water quality parameter data set of a research area; preprocessing the image and extracting a water body area image; constructing a data sample set based on the water body area image and the water quality parameter data set; establishing a plurality of inversion models for each water quality parameter, and selecting an optimal inversion model through performance verification; and calculating a comprehensive health index and a health level of the river in the water body area through objective weight determination. According to the method, the problems of low monitoring efficiency, insufficient inversion precision and high evaluation subjectivity in the prior art are solved, efficient and accurate inversion and objective health evaluation of large-range river water quality are realized, and decision support is provided for environment management.

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 present invention provides a method for evaluating the health of small and medium-sized rivers based on niche suitability analysis, including screening a set of indicator species for small and medium-sized rivers, constructing a set of initial environmental elements for small and medium-sized rivers, extracting important niche dimensions using data dimensionality reduction technology, constructing niche suitability curves for each dimension, solving the hypervolume of a multidimensional hyperrectangle in an ideal state of an optimal niche, proposing a niche suitability evaluation method based on the fit between the actual and optimal niche hypervolumes, and constructing a new system for evaluating the health of small and medium-sized rivers based on the niche suitability of indicator species; by quantifying the concept of niche, a new method for evaluating the health of small and medium-sized rivers is proposed from an ecological perspective, providing technical support for better achieving the goal of ecological environmental recovery of rivers and lakes.

The application discloses a kind of river health state evaluation and early warning method and system, belong to ecological environment monitoring and automation control technical field, which comprises: obtaining the real-time monitoring data of river monitoring point;According to real-time monitoring data, the final water quality grade of current time is evaluated, and the diurnal comprehensive index of current time is calculated;Obtain the historical reference diurnal comprehensive index based on historical monitoring data, and calculate the dynamic early warning threshold according to the historical reference diurnal comprehensive index and the final water quality grade of current time;The diurnal comprehensive index of current time is compared with the dynamic early warning threshold, when the diurnal comprehensive index of current time is lower than dynamic early warning threshold, generate early warning information, and generate control instruction according to the comparison result, to adjust the operating parameter of front-end monitoring equipment.The present application provides a complete technical solution of precision, intelligentization and automation for the long-term supervision of "Sewage Zero Direct Discharge Area".

This invention provides a method, apparatus, and electronic device for river water resource scheduling based on ecological flow, relating to the field of water conservancy engineering technology. The method includes: collecting regional water supply data using a river water intake and storage system; obtaining ecological flow data through downstream river ecological protection targets and a pre-stored ecological protection calendar; dynamically adjusting weights based on long-term hydrological data and the regional water supply data to obtain target weight coefficients; constructing a water resource scheduling optimization model based on the regional water supply data, the ecological flow data, and the target weight coefficients, wherein the water resource scheduling optimization model includes a multi-objective optimization scheduling function and constraints; and solving the water resource scheduling optimization model using a non-dominated sorting genetic algorithm to obtain the optimal scheduling scheme. This invention improves the accuracy of river water resource scheduling while ensuring river health.

The application discloses a river health evaluation method and device based on full-reach spatial difference analysis, and the method comprises the following steps: dividing full reaches of a target river basin into regions of different water body types according to river characteristics; selecting multiple evaluation indexes for each water body type region from preset criterion layers; obtaining index data of each evaluation index of each region in a preset time period; based on the index data, performing multiple coupling evaluations on each region by constructing a POME fuzzy evaluation model and a set pair analysis model based on triangular fuzzy numbers, to obtain an ecological health evaluation grade of each region; and analyzing relative differences existing in the ecological health of the full reaches of the river in space in each evaluation angle, to obtain a water body ecological health coordination condition of the target river basin. The application takes the ecological health of the full reaches of the river as a theme, distinguishes water bodies, evaluates the health condition of the river from a spatial angle, and provides a new thought and theoretical support for guiding river construction for decision makers.

The present invention relates to the technical field of river health status assessment, and discloses a method for assessing the river health status by diffusion analysis. The method includes: obtaining the positions of potential pollution sources and pollutant emissions of the target river, and analyzing the pollution propagation path of the target river; collecting the sequence of evaluation index values in the river health evaluation index system of the target river, and using the sequence of evaluation index values to evaluate the river health status of the sampling position. The present invention conducts diffusion analysis on the pollutant emissions, obtains the pollutant concentration propagation values of the pollutants at different target river nodes, realizes the extraction of the river pollution propagation path based on diffusion analysis, evaluates the river health status of different sampling positions, and uses the interpolation fitting method to interpolate and fit the river health status of continuous sampling positions, so as to obtain the overall river health status assessment distribution describing the river health status of the target river at different positions, and accurately locate the river areas with relatively low health status.

The invention belongs to the technical field of water ecological safety, and particularly relates to a multi-dimensional method for evaluating the health risk of acinetobacter in a water body and application of the multi-dimensional method. According to the method, acinetobacter bacteria are taken as risk assessment objects, a genome sketch is assembled based on acinetobacter metagenomes, pathogen risks, resistance group-moving group-virulence group information and abundance data are creatively integrated, and river health risks are evaluated through a qualitative and quantitative combined multi-dimensional analysis process. According to the method, the limitation of traditional evaluation depending on culture is broken through, and the potential health risk of acinetobacter in the river environment can be quickly identified and quantitatively evaluated.

This application provides a method, apparatus, equipment, and medium for river ecological management. The method acquires an ecological dataset, which includes four-dimensional data formed by the comprehensive ecological health index of a target river segment during a target historical period, and runoff, sediment concentration, and water temperature from river monitoring data. A water, sediment, and temperature threshold prediction model is trained based on multiple ecological data sets. After training, an implicit function describing the model is obtained. This implicit function includes a continuous function of the comprehensive ecological health index with respect to runoff, sediment concentration, and water temperature. The continuous function is obtained by learning and fitting a continuous manifold to multiple discrete ecological data sets through a neural differential equation in the water, sediment, and temperature threshold prediction model. Solving the implicit function yields the runoff threshold range, sediment concentration threshold range, and water temperature threshold range. This application provides a method for quantitatively evaluating river health and determining thresholds, enabling targeted river ecological management.

The invention relates to the technical field of water ecology, and discloses a river treatment measure determination method, a river health ecosystem and a medium, which can more accurately grasp the real condition of a river in a preset river area by acquiring a plurality of natural factors and a plurality of social factors. Furthermore, after the health and safety of the preset river area are judged, if the area is judged to be the healthy area, secondary judgment is continued, whether the river is really healthy or not can be more accurately recognized, the accuracy of judging the river health condition is improved, and the situation that the prevention and treatment opportunity for potential hazards is missed due to misjudgment is avoided. Finally, when the area is judged to be the hazard area for the second time, the second river factor set can be used for accurately determining corresponding river treatment measures for specific factors causing river ecological hazards, the river ecological problem can be more effectively solved, and long-term health and ecological safety of the river are guaranteed.

This invention relates to the field of river management technology, specifically to a river monitoring system and method based on UAV aerial imagery, comprising: an upload module for uploading river distribution parameters and constructing a river distribution model based on these parameters; a selection module for traversing the river distribution model and selecting aerial photography points within it; and a sensing module for real-time sensing of solar pose information. In the process of acquiring river images based on aerial photography points, this invention ensures that the aerial photography point, the location information of the aerial photography equipment itself, and the position coordinates of the sun relative to the UAV aerial photography equipment are collinear. This guarantees, to the greatest extent possible, that there is no light reflection in the river images during the acquisition process, resulting in more reliable evaluation results when the acquired river images are used for river health assessment.

The invention discloses a dynamic river health monitoring method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining the multi-source data related to a river basin, constructing a river basin map based on the multi-source data, and positioning the position of a pollution source according to the river basin map, the method comprises the following steps: constructing a three-dimensional map according to geographic information of a river basin and a river basin map, marking a pollution source position to the three-dimensional map, carrying out dynamic health monitoring on the river basin by adopting the marked three-dimensional map, and intelligently monitoring a dynamic river by combining multi-source data fusion, map construction and three-dimensional dynamic visualization. The pollution source tracing efficiency and accuracy can be improved, and the water pollution problem can be quickly positioned and treated.

The invention discloses a river health evaluation method, system, device and medium, and the method comprises the steps: obtaining river data, a natural evaluation table and an ethical evaluation table, recording a plurality of natural indexes of a river in the natural evaluation table, and recording a plurality of ethical indexes of the river in the ethical evaluation table; performing table weight analysis processing according to the natural evaluation table and the ethical evaluation table to obtain a natural weight set and an ethical weight set; the natural weight set comprises a natural attribute weight and a first weight corresponding to each natural index, and the ethical weight set comprises an ethical attribute weight and a second weight corresponding to each ethical index; and according to the river data, performing weight assignment evaluation on the natural evaluation table, the ethical evaluation table, the natural weight set and the ethical weight set to obtain a health evaluation result of the river. According to the method, the objective degree and reliability of river health evaluation can be effectively improved, so that the accuracy of a river health evaluation result is improved. The invention relates to the technical field of hydrology science.

The invention provides a small and medium river health evaluation method based on ecological niche suitability analysis, and the method comprises the steps: screening a small and medium river index species set, constructing a small and medium river initial environment element set, extracting important ecological niche dimensions through a data dimension reduction technology, and constructing an ecological niche suitability curve of each dimension. The hyper-volume of the optimal ecological niche multi-dimensional hyper-rectangle in the ideal state is solved, an ecological niche suitability evaluation method based on the fitting degree of the actual and optimal ecological niche hyper-volume is provided, and a new medium and small river health evaluation system based on the indicator species ecological niche suitability is constructed; through the concept of quantifying the ecological niche, the new method for evaluating the health of the small and medium-sized rivers is provided from the perspective of ecology, and technical support is provided for better achieving the river and lake ecological environment recovery target.

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.

The invention relates to a digital twinborn-based coastal plain river network water quality management system, and the system comprises a collection module which collects river health data, pollution source data and basic geographic data; the field drainage basin geographic information construction module is used for constructing a map of a coastal plain river network based on the basic geographic data by utilizing a GIS (Geographic Information System), and integrating river health data and pollution source data to obtain a GIS map; the river health evaluation and prediction module is used for performing fusion prediction and evaluation on the river health data based on an AM-TCN-LSTM river health evaluation and prediction model; the traceability analysis module performs traceability analysis based on the pollution source data; and the visual display module is used for carrying out visual display on the river health prediction evaluation result and the traceability analysis result. According to the method, expansion convolution of TCN is naturally provided with multi-scale adaptability, an LSTM gating mechanism is high in noise immunity, and dynamic weighting of AM is used for further reducing invalid feature interference, so that the accuracy of water quality prediction and the reliability of the model are effectively improved.

The invention relates to the technical field of environmental monitoring and ecological environmental protection, and discloses a reclaimed water river ecological health evaluation method based on environmental DNA and a co-occurrence network, and the method comprises the steps: setting sampling points, and collecting a water sample of a monitoring region; extracting environment DNA (Deoxyribonucleic Acid); carrying out PCR (Polymerase Chain Reaction) amplification and high-throughput sequencing, and carrying out species annotation on the three biological groups; calculating a water quality comprehensive pollution index, and determining a reference point; constructing a co-occurrence network of various group organisms in each point location and calculating network topology parameters; establishing candidate index libraries of four dimensions of community structures, diversity, functional groups and network topology parameters for the three biological groups; calculating the integrity index of each class group after optimization and the multi-species integrity index after optimization; and delimiting the river health level according to the score of the integrity evaluation system. Therefore, the topological parameters of the ecological co-occurrence networks of various groups are included in integrity index calculation, objective weights are determined through machine learning model training, and the structure and function states of a river ecosystem can be scientifically and comprehensively reflected.

The invention discloses a water ecosystem health status assessment method integrating rationalization and indicator biological indexes, which integrates the physicochemical indexes and the indicator biological indexes, and constructs a comprehensive index system integrating the indicator biological indexes and key physical and chemical indexes by screening river health indicator species and identifying water quality risk main control factors at the same time. A large amount of manpower and material resources are saved, high efficiency and rapidness are achieved, uncertainty is remarkably reduced, the evaluation method has the advantages of being small in sample size requirement, low in uncertainty, efficient and rapidness, and important technical reference can be provided for river comprehensive health evaluation and water ecological restoration.

The invention relates to the technical field of hydroelectric and hydraulic engineering operation scheduling, in particular to a river management method, device and system for hydroelectric and hydraulic engineering development, and the method comprises the steps: obtaining process parameters of a river reach affected by hydroelectric and hydraulic engineering and upstream and downstream, and carrying out the standardization processing, and obtaining the data after the standard processing; wherein the process parameters at least comprise flow, water level, water temperature, dissolved oxygen, key species community distribution and habitat form data of a river; and on the basis of the standardized data, according to a preset index system, calculating multi-dimension index scores representing the ecological state of the river and a comprehensive river health index. According to the method, quantitative evaluation and accurate restoration of river ecological health are realized on the premise of considering water and electricity development and utilization, the required monitoring data are mature and available, the output instruction can be directly connected with an existing gate control system, and the method has high engineering feasibility.

The invention provides a river ecology management method and device, equipment and a medium, and the method comprises the steps: obtaining an ecological data set, wherein ecological data in the ecological data set comprises a comprehensive ecological health index of a target river reach in a target historical period, and four-dimensional data formed by runoff, sand content and water temperature in river monitoring data; training the water and sand temperature threshold prediction model based on the plurality of ecological data, and obtaining an implicit function of the description model after the training is completed; the implicit function comprises a continuous function of comprehensive ecological health indexes about runoff volume, sand content and water temperature, and the continuous function is obtained by performing continuous manifold learning and fitting on a plurality of discrete ecological data through a neural differential equation in a water and sand temperature threshold prediction model; and solving the implicit function to obtain a runoff threshold range, a sand content threshold range and a water temperature threshold range. According to the embodiment of the invention, the method for quantitatively evaluating the river health degree and determining the threshold value is provided, and river ecological management can be performed in a targeted manner.