Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Zaharifudin Muhamad Ali"'
Autor:
Fayrouz Abd Alkareem Hadi, Lariyah Mohd Sidek, Gasim Hayder Ahmed Salih, Hidayah Basri, Saad Sh. Sammen, Norlida Mohd Dom, Zaharifudin Muhamad Ali, Ali Najah Ahmed
Publikováno v:
Journal of Hydroinformatics, Vol 26, Iss 4, Pp 779-799 (2024)
Climate change resulted in dramatic change in the monsoon precipitation rates in Malaysia, contributing to repetitive flooding events. This research examines different substantial practicalities of machine learning (ML) in performing high-performance
Externí odkaz:
https://doaj.org/article/827d9ad4edb34796bad19f0302b9b6b0
Publikováno v:
Hydrological Sciences Journal. 63:474-491
An adequate and reliable raingauge network is essential for observing rainfall data in hydrology and water resource applications. A raingauge network developed for a catchment area is commonly extended periodically to increase data accuracy. Due to f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df0e6b243a6a0e1bbda22e1461e2167d
https://doi.org/10.1080/02626667.2018.1437271
https://doi.org/10.1080/02626667.2018.1437271
SELECTION OF VARIOGRAM MODEL FOR SPATIAL RAINFALL MAPPING USING ANALYTICAL HIERARCHY PROCEDURE (AHP)
Publikováno v:
Scientia Iranica. 24:28-39
In geostatistical analysis, spatial interpolation at any unmeasured point is done using the parameters of a variogram model that matches the experimental data. Several variogram models can be used and the accuracy of the spatial map produced depends
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9420932562e70306f64923ffed4c470
https://doi.org/10.24200/sci.2017.2374
https://doi.org/10.24200/sci.2017.2374