Researchers develop deep
Chinese researchers have proposed a novel hybrid deep-learning model to address streamflow forecasting for water catchment areas at a global scale, with a view to improving flood prediction, according to a recent research article published in the journal The Innovation.
Streamflow and flood forecasting remains one of the long-standing challenges in hydrology. Traditional physically based models are hampered by sparse parameters and complex calibration procedures particularly in ungauged catchments.
More than 95 percent of small and medium-sized water catchments in the world lack monitoring data, according to the Chinese Academy of Sciences (CAS).
Researchers from the Institute of Mountain Hazards and Environment of the CAS used the datasets of more than 2,000 catchments around the world to conduct model training in order to cope with streamflow forecasting at a global scale for all gauged and ungauged catchments.
The distribution of these catchments was significantly different, ensuring the diversity of data.
The results show that the forecasting accuracy of the model was higher than traditional hydrological models and other AI models.
The study demonstrated the potential of deep-learning methods to overcome the lack of hydrologic data and deficiencies in physical model structure and parameterization, the research article noted.
Related articles
The Eurovision Song Contest is kicking off with pop and protests as the war in Gaza casts a shadow
MALMO, Sweden (AP) — Competition in the 68th Eurovision Song Contest kicks off Tuesday in Sweden, wi2024-05-08- Since normal travel resumed in 2023, the flow of people between Hong Kong and the Chinese mainland h2024-05-08
China Cruise Shipping Conference opens in Shenzhen
The 16th China Cruise Shipping Conference was unveiled on Saturday in Nanshan district, Shenzhen cit2024-05-08Biden hosts Romanian leader at the White House to celebrate NATO partnership
WASHINGTON (AP) — President Joe Biden hosted Klaus Iohannis, the president of Romania, on Tuesday at2024-05-08As realty shares rally, housing hopes rise
Strong positive sentiment lifted Chinese real estate shares on Monday, prompting experts to express2024-05-08Migrant camps spring up in gentrifying neighborhood with a Soho House and caviar
A Mexico City neighborhood, whose economy has flourished with lavish restaurants and immersive shopp2024-05-08
atest comment