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Title:
RUNOFF FORECASTING METHOD BASED ON BASEFLOW SEPARATION AND ARTIFICIAL NEURAL NETWORK MODEL
Document Type and Number:
WIPO Patent Application WO/2022/110582
Kind Code:
A1
Abstract:
A runoff forecasting method based on baseflow separation and an artificial neural network model. In said method, the problem of baseflow separation is considered in medium and long-term runoff forecasting, the runoff is divided into baseflow and surface runoff by using a digital filtering baseflow separation method, and the two parts are used as driving factors of the artificial neural network model to predict the medium and long-term runoff flow. The method can effectively improve the precision of hydrological process simulation and extreme value forecasting.

Inventors:
CHEN HAO (CN)
XU YUEPING (CN)
Application Number:
PCT/CN2021/082235
Publication Date:
June 02, 2022
Filing Date:
March 23, 2021
Export Citation:
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Assignee:
UNIV ZHEJIANG (CN)
International Classes:
G06Q10/04
Foreign References:
CN112330065A2021-02-05
CN111311026A2020-06-19
CN108018823A2018-05-11
CN111260111A2020-06-09
US20190227194A12019-07-25
Attorney, Agent or Firm:
HANGZHOU QIUSHI PATENT OFFICE CO., LTD. (CN)
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