A novel hydrological model simulation evaluation method based on a multi-scale theory

Abstract

The invention discloses a novel hydrological model simulation evaluation method based on a multi-scale theory, and aims to improve the simulation precision of a watershed hydrological model. The method mainly comprises the following steps: 1) carrying out multi-fractal feature verification on a simulation time sequence and an actual measurement time sequence; And 2) analyzing the simulation effectof the hydrological model through multiple fractal spectrums. The method has the beneficial effects that the correlation between the hydrological simulation result and the measured data can be evaluated; The correlation of each part (high flow, medium flow and low flow) in the sequence can be directly given; The defects of traditional correlation analysis in sequence fractal feature analysis canbe overcome; Fractal characteristics of a hydrological model result can be fully explored, model calibration is more effective, hydrological simulation precision can be remarkably improved, and prediction reliability of the hydrological simulation precision is improved.

Description

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AI Technical Summary

Benefits of technology

This technology helps us better identify correlations between different parts or variables within an experimented system by analyzing their sequences with varying levels of detail. These techniques allow researchers to study complex systems that have multiple components interacting together through various mechanisms such as fluid movement. Overall, this method provides valuable insights into how well these models work over time and allows them to improve understanding about natural phenomena like water supply patterns.

Problems solved by technology

This patented technical problem addressed in this patents relates to accurately representing the behavior or properties of hydraulic systems during various stages such as design changes for better performance, monitoring damage caused by droughts, predictive maintenance on existing infrastructure, detecting fires, controlling dams, managing watershed areas, navigating underground pipes, and identifying leaks from damaged pipe lines.

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