Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Amobichukwu C. Amanambu"'
Publikováno v:
Water, Vol 14, Iss 22, p 3611 (2022)
Hydrological drought forecasting is essential for effective water resource management planning. Innovations in computer science and artificial intelligence (AI) have been incorporated into Earth science research domains to improve predictive performa
Externí odkaz:
https://doaj.org/article/640a480efab5458294425f86c82b2dd3
Autor:
Eldiiar Duulatov, Xi Chen, Amobichukwu C. Amanambu, Friday U. Ochege, Rustam Orozbaev, Gulnura Issanova, Gulkaiyr Omurakunova
Publikováno v:
Water, Vol 11, Iss 5, p 897 (2019)
Climate change-induced precipitation variability is the leading cause of rainfall erosivity that leads to excessive soil losses in most countries of the world. In this paper, four global climate models (GCMs) were used to characterize the spatiotempo
Externí odkaz:
https://doaj.org/article/16b1ecd193d84dcf8e8be16176e7b99a
Autor:
Eldiiar Duulatov, Xi Chen, Gulnura Issanova, Rustam Orozbaev, Yerbolat Mukanov, Amobichukwu C. Amanambu
Publikováno v:
SpringerBriefs in Environmental Science ISBN: 9783030635084
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c4d6f127ecfa0f98fc2d850528f3850
https://doi.org/10.1007/978-3-030-63509-1_6
https://doi.org/10.1007/978-3-030-63509-1_6
Autor:
Eldiiar Duulatov, Xi Chen, Gulnura Issanova, Rustam Orozbaev, Yerbolat Mukanov, Amobichukwu C. Amanambu
Publikováno v:
SpringerBriefs in Environmental Science ISBN: 9783030635084
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::305204ec32c867bf0e307863e8ffddd9
https://doi.org/10.1007/978-3-030-63509-1
https://doi.org/10.1007/978-3-030-63509-1