River network water quality simulation method and system based on cloud platform

By constructing a river network hydrodynamic model and water quality monitoring data on a cloud platform, and using K-means clustering and Nash efficiency coefficient optimization, accurate modeling and visualization of river network water quality simulation were achieved. This solved the problem of insufficient accuracy of initial conditions in existing technologies and improved the accuracy of pollutant diffusion simulation and the intelligence of the system.

CN120850849AActive Publication Date: 2025-10-28POWERCHINA WATER ENVIRONMENT GOVERANCE +1
View PDF 5 Cites 1 Cited by

Patent Information

Application Number
CN202510787272.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-06-13
Publication Date
2025-10-28
Estimated Expiration
2045-06-13

AI Technical Summary

Technical Problem

Existing water quality simulation methods lack precision in determining initial simulation conditions and cannot effectively capture the spatiotemporal coupling characteristics of pollutants from upstream to downstream in river network systems, resulting in systematic deviations in the initial concentration field setting.

Method used

Based on the cloud platform, by constructing a river network hydrodynamic model and water quality monitoring data, the K-means clustering algorithm is used to divide water quality groups. The model parameters are optimized in combination with the Nash efficiency coefficient. Adaptive cutting and particle animation rendering are performed to achieve accurate simulation of pollutant diffusion.

Benefits of technology

It enables accurate modeling and real-time tracking of pollutant diffusion processes in complex aquatic environments, improves the intelligence and visualization of water quality monitoring and early warning, supports concurrent access by multiple users, and reduces system deployment costs and maintenance difficulty.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN120850849A_ABST
    Figure CN120850849A_ABST
Patent Text Reader

Abstract

The invention relates to the technical field of water quality simulation, in particular to a river network water quality simulation method and system based on a cloud platform. The method comprises the following steps: obtaining river network basic data, river channel section data, river channel topographic data, water quality monitoring data and water level flow data, and constructing a river network hydrodynamic model according to the river network basic data, the river channel topographic data and the river channel section data, determining water quality component categories according to the river network hydrodynamic model in combination with the water quality monitoring data and the water level flow data, and constructing a preliminary coupling model; performing water quality initial field determination processing on the preliminary coupling model according to the water quality monitoring data to obtain a water quality initial concentration field model; and performing Nash efficiency coefficient-based model calibration and precision evaluation processing on the water quality initial concentration field model to obtain a hydrodynamic water quality coupling model. The invention provides a dual interpolation algorithm combining an inverse distance weighting method and time sequence data correction, and effectively solves the problem of insufficient precision of a traditional initial field determination method.
Need to check novelty before this filing date? Find Prior Art

Citation Information

Patent Citations

  • Section gradient interpolation technology for water quality multi-index dynamic simulation

    CN102708520A

  • Short-term forecasting method for eutrophication shallow lake algae source lake flooding

    CN104615885A

  • Water environment early warning method and device

    CN109460869A

  • Optimization-based spatial-temporal scale multi-level water body toxic pollutant tracing method

    CN116384147A

  • Water quality model parameter calibration method based on equivalent pollution source thought

    CN116882121A

Cited By

  • River pollution diffusion path automatic extraction method and system

    CN122240739A