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grade of current time is evaluated, and the diurnal comprehensive index of current time is calculated;Obtain the historical reference diurnal comprehensive index based on historical monitoring data, and calculate the dynamic early warning threshold according to the historical reference diurnal comprehensive index and the final water quality grade of current time;The diurnal comprehensive index of current time is compared with the dynamic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

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.