Water Sampling at Kulim, 2018
Artificial Intelligence in Hydrology
Due to the fast progress in computer technology and also the development of more advanced AI algorithms, researchers in artificial intelligence (AI) have been able to develop more accurate and reliable hydrologic models such as rainfall-runoff modelling, flood forecasting, rainfall prediction, river stage prediction, evaporation estimation, sediment load modelling, and water quality simulation. This is the area that has lots of opportunities for further applications and developments.
Due to the fast progress in computer technology and also the development of more advanced AI algorithms, researchers in artificial intelligence (AI) have been able to develop more accurate and reliable hydrologic models such as rainfall-runoff modelling, flood forecasting, rainfall prediction, river stage prediction, evaporation estimation, sediment load modelling, and water quality simulation. This is the area that has lots of opportunities for further applications and developments.
Assessment of Climate Change
The development and studies of climate are rapid. Many recent models and tools describe the trend of the meteorological variables corresponding to climate scenarios compared to previous models. These recent advances will help prepare civil structures, including hydrology and hydraulic structures, for adapting to climate change.
A general trend of the annual runoff corresponding to A2 and B2 scenarios (example of the publication)