Random forests (RF) is a supervised machine learning algorithm, which has recently started
to gain prominence in water resources applications. However, existing applications are …

This paper reviews the current GeoAI and machine learning applications in hydrological and
hydraulic modeling, hydrological optimization problems, water quality modeling, and fluvial …

Drought is a natural disaster that can influence all aspects of human life with its extensive
and long-term implications. Rural communities are more drought-susceptible due to their …

Assessment of agricultural drought risk is significant for risk division and management.
Nevertheless, the drought risk dynamic evolution characteristics have not been revealed. To …

The evolution of hydrological drought events is a result of complex (nonlinear) interactions
between climate and catchment processes. To investigate such nonlinear relationship, we …

Haze pollution has become a severe threat to China's sustainable development. It is crucial
to provide a complete explanation for the mechanism behind the changes in PM 2.5 …

As the energy demand of public building (PB) in China continues to increase, it is
meaningful for forecasting the future trend of carbon emissions (CE) of PB. This study …

Drought impacts on the society and environment are influenced by how droughts propagate
through the hydrologic cycle; however, the physical processes involved in drought …

It is crucial to investigate how a precipitation deficit is transformed into hydrological drought
and how climate change and human activities affect this transformation process, which is …

As the only unnatural phenomenon among the four drought types, socioeconomic drought
exerts direct negative impacts on socioeconomic system. Socioeconomic drought is closely …