Výsledky vyhledávání - "Otun, Johnson A."

Data driven parameter estimation and Application of two Storage Based Runoff models on Oshin Catchment using Mod16 Evapotranspiration datasets

Autor: Okon , Samuel Samuel, Otun, Johnson, Ajibike , M.A., Okoye , Jerome Dozie, Alika, Jeremiah

Publikováno v: Dutse Journal of Pure and Applied Sciences; Vol. 8 No. 4a (2022); 44-52

This research aims to apply two storage-based rainfall-runoff models which have been proven and used in other catchments/watersheds, such as the Australian Water Balance Model and the Sacramento storage-based Runoff Model, to the Oshin catchment area

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=78975075580c::a3b89f8621ed0709992f1dadd1c383d7
https://www.ajol.info/index.php/dujopas/article/view/240273

Zobrazit plný text záznamu

Prediction of Friction Factor in Serpentine Micro-Pipes Using Artificial Neural Network

Autor: Umar, Zacchaeus Simpa, Muhammad, Mujahid Muhammad, Otun, Johnson A., Jen, Terhile Thaddeus, Hamza, Isah, Abdulsalam, Basiru

Serpentine Micro-fluidic devices have become much relevant especially in biochemical industries and laboratories. Prediction of flow characteristics considering various geometrical parameter of the pipe in corporation has been a serious challenge. Th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::896106c0c2d4a289eb28877255ade01a

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání