Accurate runoff forecasting is of great significance for water resource allocation flood control
and disaster reduction. However, due to the inherent strong randomness of runoff …

Climate variability influences renewable electricity supply and demand and hence system
reliability. Using the hidden states of the sea surface temperature of tropical Pacific Ocean …

Study region The source region of the Yellow River (SRYE) is located in the eastern part of
the Tibetan Plateau is a major water production and water conservation area for the Yellow …

Urban infrastructure traditionally relies on stationary rainfall intensity-duration-frequency
(IDF) curves. However, this assumption is challenged by climate change and urbanization …

Accurate prediction of monthly runoff is critical for effective water resource management and
flood forecasting in river basins. In this study, we developed a hybrid deep learning (DL) …

Runoff from the high-cold mountains area (HCMA) is the most important water resource in
the arid zone, and its accurate forecasting is key to the scientific management of water …

The utilisation of modelling tools in hydrology has been effective in predicting future floods
by analysing historical rainfall and inflow data, due to the association between climate …

The lithium-ion battery (LIB) has become the primary power source for new-energy electric
vehicles, and accurately predicting the state-of-health (SOH) of LIBs is of crucial significance …

Accurate streamflow prediction is significant for water resources management. However,
due to the impact of climate change and human activities, accurately identifying the input …

Identifying flood drivers and accurately estimating design floods play a crucial role in
fostering sustainable and effective planning and management strategies for mitigating flood …