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Published December 12, 2024 | Version v1
Model Open

An Integrated Statistical-Physical-Machine Learning Framework: Quantifying Human-Induced Terrestrial Water Storage Loss

Authors/Creators

  • 1. ROR icon Wuhan University

Description

This file creates a precipitation-to-basin water storage change function based on the mass conservation equation, the first-order reaction kinetics equation and hydrograph recession function to evaluate water storage capacity and the impact of anthropogenic water usage on terrestrial water storage in basin. Meanwhile, it contains the LSTM, LSTM model based on Bayesian optimization algorithm, and LSTM-Transformer model for basin runoff modeling.

Files

Files (127.2 kB)

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md5:86f01b00f916df98cf88e034d9c81f67
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