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Title:
ADVERSARIAL NEURAL NETWORK-BASED HYDROLOGICAL PARAMETER CALIBRATION METHOD FOR DATA REGION
Document Type and Number:
WIPO Patent Application WO/2022/032874
Kind Code:
A1
Abstract:
An adversarial neural network-based hydrological parameter calibration method for a data region, comprising: collecting soil texture, vegetation coverage, a land utilization rate, topographic data, a runoff coefficient, total annual evaporation, and gradient and slope data; dividing a calibration region into computing units of less than 30 square kilometers; determining each underlying surface parameter of each computing unit and a meteorological related factor; and performing automatic calibration on hydrological parameters of a data watershed by using an adversarial neural network GAN to obtain an optimal hydrological parameter of each computing unit. The technical problems in the prior art such as the work is repetitive, the efficiency is low, the complexity is extremely high, and the application and popularization of a hydrologic model are not utilized are solved.

Inventors:
LI SHENG (CN)
ZHANG RONG (CN)
LIU CHENGYI (CN)
TIAN BIAO (CN)
DING JIAOLIANG (CN)
PENG JIANGJIANG (CN)
LIU JIJUN (CN)
Application Number:
PCT/CN2020/123715
Publication Date:
February 17, 2022
Filing Date:
October 26, 2020
Export Citation:
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Assignee:
GUIZHOU EAST CENTURY SCIENCE TECH CO LTD (CN)
International Classes:
G06F30/27
Foreign References:
CN111144552A2020-05-12
CN111160430A2020-05-15
CN102034003A2011-04-27
Other References:
GUO YI, WU XIN-MIAO, QIE ZHI-HONG, RAN YAN-LI: "Parameter Calibration of MIKE SHE Model Based on BP Neural Network", JOURNAL OF YANGTZE RIVER SCIENTIFIC RESEARCH INSTITUTE, vol. 36, no. 3, 31 March 2019 (2019-03-31), pages 26 - 30, XP055900097, ISSN: 1001-5485, DOI: 10.11988/ckyyb.20170992
FENG RUI: "Prediction of Runoff Series in Jiulong River Basin Based on LSTM Model", CHINA MASTER’S THESES FULL-TEXT DATABASE, 15 January 2020 (2020-01-15), XP055900094
Attorney, Agent or Firm:
GUIYANG ZHONGXIN PATENT AND TRADEMARK OFFICE (CN)
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