Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Johnson T. Fasinmirin"'
Autor:
Akinwale T. Ogunrinde, Philip G. Oguntunde, Akinola S. Akinwumiju, Johnson T. Fasinmirin, David A. Olasehinde, Quoc Bao Pham, Nguyen Thi Thuy Linh, Duong Tran Anh
Publikováno v:
Atmosphere, Vol 13, Iss 11, p 1874 (2022)
Data from historical observatories and future simulations were analyzed using the representative concentration pathway (RCP) 8.5 scenario, which covered the period from 1951 to 2100. In order to characterize the drought, three widely used drought ind
Externí odkaz:
https://doaj.org/article/91074659bdd7432bbb04d60b0b9ebd23
Publikováno v:
Engineering Reports, Vol 2, Iss 7, Pp n/a-n/a (2020)
Abstract The necessity to perform an accurate prediction of future characteristics of drought requires a robust and efficient technique that can deduce from historical data the stochastic relationship or dependency between history and future. In this
Externí odkaz:
https://doaj.org/article/384881f9ccce4fa085c98467ac33eb62
Autor:
Akinwale T. Ogunrinde, Phillip G. Oguntunde, David A. Olasehinde, Johnson T. Fasinmirin, Akinola S. Akinwumiju
Publikováno v:
Results in Engineering, Vol 5, Iss , Pp - (2020)
Hazards from drought events has made it of utmost importance for scientist to concentrate on the establishment of a dependable early warning systems that will enable stakeholders to effectively cope with the probable effect of this climatic phenomeno
Externí odkaz:
https://doaj.org/article/2b6ffede909c4828a33109737142ba4b