Zobrazeno 1 - 10
of 84 166
pro vyhledávání: '"rainfall–runoff"'
Autor:
Wang, Yuan-Heng, Gupta, Hoshin V.
Despite the excellent real-world predictive performance of modern machine learning (ML) methods, many scientists remain hesitant to discard traditional physical-conceptual (PC) approaches due mainly to their relative interpretability, which contribut
Externí odkaz:
http://arxiv.org/abs/2412.04845
Autor:
Ghanati, Bahareh1 (AUTHOR) 1650961@uab.cat, Serra-Sagristà, Joan1 (AUTHOR)
Publikováno v:
Remote Sensing. Oct2024, Vol. 16 Issue 20, p3889. 18p.
Publikováno v:
Renmin Zhujiang, Vol 45, Pp 24-32 (2024)
As the level of urbanization in China gradually increases, the effects of urbanization on rainfall-runoff processes have received increasingly widespread attention. Studying the effects of urbanization on rainfall-runoff processes is of significant i
Externí odkaz:
https://doaj.org/article/921edcbc5d8f4e75898b8868d9baed97
Publikováno v:
Open Geosciences, Vol 16, Iss 1, Pp 34-44 (2024)
Rainfall–runoff modeling is essential for the hydrological analysis of basins; however, the traditional modeling approach does not incorporate geological features such as fractures and fissures in the modeling task. These features are significant i
Externí odkaz:
https://doaj.org/article/d63a08f7e7d144329836682f00167a2e
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-21 (2024)
Abstract Accurate streamflow prediction is crucial for effective water resource management and planning. This study aims to enhance streamflow simulation accuracy in the data-scarce Upper Narmada River Basin (UNB) by proposing a novel hybrid approach
Externí odkaz:
https://doaj.org/article/001bc4f578394f8dbac91e8c2e1a6ee2