Enhancing runoff predictions in data-sparse regions through hybrid deep learning and hydrologic modeling

Songliang Chen, Youcan Feng, Hongyan Li, Donghe Ma, Qinglin Mao, Yilian Zhao, Junhui Liu · 2024

Read Enhancing runoff predictions in data-sparse regions through hybrid deep learning and hydrologic modeling by Songliang Chen, Youcan Feng, Hongyan Li, Donghe Ma, Qinglin Mao, Yilian Zhao, Junhui Liu (2024) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11531571.txt.

Description

Amidst growing concerns over climate-induced extreme weather events, precise flood forecasting becomes imperative, especially in regions like the Chaersen Basin where data scarcity compounds the challenge. Traditional hydrologic models, while reliable, often fall short in areas with insufficient observational data.

Catalog record

CREATORSongliang Chen, Youcan Feng, Hongyan Li, Donghe Ma, Qinglin Mao, Yilian Zhao, Junhui Liu
YEAR2024
COLLECTIONPAPERS
FORMATTXT
FILE SIZE38 KB
VERSION1.0
LICENSECC BY 4.0
RIGHTSCC BY
SOURCEEurope PMC

Source: https://europepmc.org/articles/PMC11531571

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