一种基于文献挖掘和流域相似度匹配的水文模型参数推荐方法
By employing literature mining and watershed similarity matching methods, a hydrological model parameter recommendation system was constructed, which solved the problem of watershed modeling without data, achieved efficient parameter acquisition and regionalization, and improved modeling accuracy and resource utilization efficiency.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- CHINA INST OF WATER RESOURCES & HYDROPOWER RES
- Filing Date
- 2026-04-22
- Publication Date
- 2026-07-17
AI Technical Summary
In existing technologies, the calibration of hydrological model parameters relies on long-series hydrological and meteorological observation data. Due to the uneven spatial distribution and limited coverage of observation stations, it is difficult to model watersheds without data. Furthermore, different research teams conduct duplicate studies due to information asymmetry, resulting in serious waste of resources and a lack of efficient knowledge extraction and integration methods.
A hydrological model parameter recommendation system is constructed based on literature mining and watershed similarity matching. The system retrieves academic literature, extracts watershed features and parameter information, establishes a knowledge base of watershed hydrological model parameters, and uses multidimensional weighted similarity to calculate the parameters of the target watershed, providing structured and reusable parameter support.
It enables efficient acquisition of watershed parameters in areas without available data, improves the accuracy and efficiency of parameter regionalization, avoids redundant calibration work, and promotes the optimal allocation of hydrological research resources.
Smart Images
Figure CN122412435A_ABST