Green Technlolgy for Sustainable Future using Bayesian Decision Model | Benin Owena River Basin, Nigeria. Este artículo no está disponible.
Idioma: inglés
Editorial: Scholars' Press, 2023
- Tapa blanda
- Nuevo

Librería: preigu, Osnabrück, Alemaniapreigu
Vendedor de 5 estrellas
Vendedor de IberLibro desde 5 de agosto de 2024
No disponible
Tapa blanda
Condición: Nuevo
EUR 94,95
Descripción del artículo del vendedor
Green Technlolgy for Sustainable Future using Bayesian Decision Model | Benin Owena River Basin, Nigeria | Luke Chika Eme (u. a.) | Taschenbuch | Englisch | 2023 | Scholars' Press | EAN 9786205521106 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.
N° de ref. del artículo 126543759
- Título
- Green Technlolgy for Sustainable Future using Bayesian Decision Model | Benin Owena River Basin, Nigeria
- Autor
- Luke Chika Eme (u. a.)
- Editorial
- Scholars' Press
- Año de publicación
- 2023
- Estado
- Neu
- Encuadernación
- Taschenbuch
- Idioma
- inglés
- ISBN 10
- 6205521105
- ISBN 13
- 9786205521106
- Peso del artículo
- 590 gramos
- Dimensiones
- 220 x 150 x 24 mm
- Catálogos de vendedores
- Bücher
The Book is aimed at investigating green technologies with designs for sustainable future using Bayesian and Markovian models for optimal solutions and a comparable analysis in Benin-owena River basins, Nigeria. The objectives of the study are: to develop blueprint/layout plan that will address the problems of climate change crises and management lapses which use green energy for solution, to develop a model that tackles the climate change crisis in the Benin-Owena river basin, Nigeria using Markovian and Bayesian decision model and to assess the net benefits of projects in the Benin-Owena river basin, such as hydropower, water supply, irrigated agriculture, flood control etc. The work concluded that, the tests for hypothesis confirm that the performance of the Benin-Owena river basin (prototypes) was really higher than the theoretical expected (model) of 0.98 which means 100% with high component interaction. The work contributed to knowledge such that the computational difficulty, so outstanding in dynamic programming refers to as the “Curse of Dimensionality” is solved through the new inventory models of simulation modeling in Markov chains and Bayesian decision.
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