Evolution characteristics and attribution identification method of lake current in through-lake lake

By constructing a river-lake hydraulic response model and a multi-factor attribution model, the problem of attribution identification of the evolution of lake flows in connected rivers was solved, realizing quantitative attribution and a basis for lake management under complex hydraulic conditions.

CN122222047BActive Publication Date: 2026-07-24NANJING HYDRAULIC RES INST
View PDF 2 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
NANJING HYDRAULIC RES INST
Filing Date
2026-05-20
Publication Date
2026-07-24

Smart Images

  • Figure CN122222047B_ABST
    Figure CN122222047B_ABST
Patent Text Reader

Abstract

The application discloses a method for identifying lake flow evolution characteristics and attribution, comprising the following steps: obtaining a lake flow observation flow rate, a river-lake water level difference and an external driving factor sequence; constructing a river-lake hydraulic response model with a flow direction symbol function, separating an immediate response flow rate component generated by the water level difference instantaneous driving from the lake flow observation flow rate by using the model, and obtaining a lake flow residual sequence representing the change of the lake system itself; and constructing a multi-factor attribution model for the lake flow residual sequence based on the external driving factor, and quantitatively determining the contribution rate of each factor to the lake flow evolution. The application realizes the dynamic separation of the river-lake backwater effect and the evolution trajectory of the response coefficient by constructing a time-varying state space model, solves the problem that the traditional method confuses passive response and active evolution and cannot identify the drift of the river channel physical characteristics, and realizes the quantitative attribution of the lake flow evolution under complex hydraulic conditions.
Need to check novelty before this filing date? Find Prior Art

Citation Information

Patent Citations

  • Method and system for quantifying influence of backwater jacking on water level change

    CN113934777A

  • River and lake backflow recognition and driving mechanism analysis method based on interpretable machine learning

    CN121901900A