Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Muhammad Naveed Khaliq"'
Autor:
Muhammad Naveed Khaliq
Publikováno v:
Water Science and Technology, Vol 89, Iss 9, Pp 2225-2239 (2024)
Instantaneous peak flows (IPFs) are often required to derive design values for sizing various hydraulic structures, such as culverts, bridges, and small dams/levees, in addition to informing several water resources management-related activities. Comp
Externí odkaz:
https://doaj.org/article/a62c19081da24e0d81cb330c732d2b02
Publikováno v:
Journal of Water and Climate Change, Vol 15, Iss 4, Pp 1906-1921 (2024)
Generating continuous streamflow information through integrated climate-hydrology modeling at fine spatial scales of the order of a few kilometers is often challenged by computational costs associated with running high-resolution (HR) climate models.
Externí odkaz:
https://doaj.org/article/2fea5706d8ce4d8e82c07dfc5a214694
Autor:
Dona Maria, Laxmi Sushama, Husham Almansour, Muhammad Naveed Khaliq, Van-Thanh-Van Nguyen, Luc Chouinard
Publikováno v:
Results in Engineering, Vol 22, Iss , Pp 102038- (2024)
Creager flood envelope curves, which serve as the upper bound/limit of observed extreme flows, are commonly used by practitioners to estimate design flood magnitudes, which in the case of most river-crossing highway bridges is 75-year flood magnitude
Externí odkaz:
https://doaj.org/article/d6ffdd9e23e149b7bf9aa6000084758f
Autor:
Lakshika Girihagama, Muhammad Naveed Khaliq, Philippe Lamontagne, John Perdikaris, René Roy, Laxmi Sushama, Amin Elshorbagy
Publikováno v:
Neural Computing and Applications. 34:19995-20015
This study investigates the capability of sequence-to-sequence machine learning (ML) architectures in an effort to develop streamflow forecasting tools for Canadian watersheds. Such tools are useful to inform local and region-specific water managemen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::506ef546d5f5ba146ee8a94bc75f4323
https://doi.org/10.1007/s00521-022-07523-8
https://doi.org/10.1007/s00521-022-07523-8