Streamflow regime-based classification and hydrologic similarity analysis of catchment behavior using differentiable modeling with multiphysics outputs DOI

Yuqian Hu,

Heng Li, Chunxiao Zhang

и другие.

Journal of Hydrology, Год журнала: 2025, Номер 653, С. 132766 - 132766

Опубликована: Янв. 29, 2025

Язык: Английский

A Performance Comparison Study on Climate Prediction in Weifang City Using Different Deep Learning Models DOI Open Access
Qingchun Guo,

Zhenfang He,

Zhaosheng Wang

и другие.

Water, Год журнала: 2024, Номер 16(19), С. 2870 - 2870

Опубликована: Окт. 9, 2024

Climate change affects the water cycle, resource management, and sustainable socio-economic development. In order to accurately predict climate in Weifang City, China, this study utilizes multiple data-driven deep learning models. The data for 73 years include monthly average air temperature (MAAT), minimum (MAMINAT), maximum (MAMAXAT), total precipitation (MP). different models artificial neural network (ANN), recurrent NN (RNN), gate unit (GRU), long short-term memory (LSTM), convolutional (CNN), hybrid CNN-GRU, CNN-LSTM, CNN-LSTM-GRU. CNN-LSTM-GRU MAAT prediction is best-performing model compared other with highest correlation coefficient (R = 0.9879) lowest root mean square error (RMSE 1.5347) absolute (MAE 1.1830). These results indicate that method a suitable model. This can also be used surface modeling. will help flood control management.

Язык: Английский

Процитировано

10

Revolutionizing the Future of Hydrological Science: Impact of Machine Learning and Deep Learning amidst Emerging Explainable AI and Transfer Learning DOI Creative Commons
Rajib Maity, Aman Srivastava,

Subharthi Sarkar

и другие.

Applied Computing and Geosciences, Год журнала: 2024, Номер 24, С. 100206 - 100206

Опубликована: Ноя. 9, 2024

Язык: Английский

Процитировано

5

Streamflow regime-based classification and hydrologic similarity analysis of catchment behavior using differentiable modeling with multiphysics outputs DOI

Yuqian Hu,

Heng Li, Chunxiao Zhang

и другие.

Journal of Hydrology, Год журнала: 2025, Номер 653, С. 132766 - 132766

Опубликована: Янв. 29, 2025

Язык: Английский

Процитировано

0