Researchers develop deep
Time:2024-05-08 23:01:55 Source:opinionsViews(143)
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.
Previous:Chinese, Vietnamese Leaders Exchange Spring Festival Greetings
Next:Caring for Rural Women Teachers, Promoting Career Development
You may also like
- EHang air mobility mkt prospects taking flight
- Over 2,300 people battling forest fire in southwest China
- World Internet Sci
- What key recent events led to Iran's assault on Israel?
- Xi Focus: Xi Stresses Striving in Unity to Fulfill Goals Set by Party Congress
- Meet the Real Housewives star who spent £25m on a 1,000
- Feature: Chinese
- Central gov't appoints veteran diplomat as new commissioner of Chinese FM in Hong Kong
- Xi Signs Order to Promulgate Regulations on Honors for Servicemen