10 results about "River health" patented technology

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grade of current time is evaluated, and the diurnal comprehensive index of current time is calculated;Obtain the historical reference diurnal comprehensive index based on historical monitoring data, and calculate the dynamic early warning threshold according to the historical reference diurnal comprehensive index and the final water quality grade of current time;The diurnal comprehensive index of current time is compared with the dynamic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.

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.

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 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.