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Simulation modeling using Markovian Decision theory in co-managing the competitive Anambra and Imo river basin
Author(s) -
Luke Chika Eme,
Ohaji Evans
Publication year - 2019
Publication title -
water practice and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.243
H-Index - 15
ISSN - 1751-231X
DOI - 10.2166/wpt.2019.019
Subject(s) - hydroelectricity , investment (military) , net present value , flood control , cash flow , markov decision process , business , drainage basin , work (physics) , water resource management , environmental economics , flood myth , environmental science , finance , markov process , economics , engineering , geography , mathematics , politics , electrical engineering , macroeconomics , law , archaeology , political science , mechanical engineering , statistics , cartography , production (economics)
This work for purposes of efficiency aims at funding Anambra and Imo River Basin Development Authorities (RBDAS), namely RBDA I and RBDA 2, according to their net returns achieved on investment, since they operate within the same region of influence and are managed by a single board of directors. The RBDAS are competitively embarking on irrigated agriculture, water supply, hydroelectric power generation, flood control, drainage, navigation, recreation/tourism and erosion control. There is an expansion fund of 782.76 billion for full capacity utilization of the basin’s assets involving 25 rivers in the South East Geopolitical region. The problem facing each of the RBDA is their strategy or optimal policy to maximize its net return per unit of investment on each of the developmental projects. On the other hand, the problem facing the management board is the ratio in which to share the funds available for expansion as to allow each of the RBDA to perform at an optimum level. Methodology involves methods and experiments. Data were collected from ABDAS, Ministries and Parastatal. When RBDA1 and RBDA 2 invest under the most unfavorable competition, it can assure itself of a net return ratio of 460/1000 respectively. Consequently, the management board will share the new fund ( 782.76 billion) available for expansion so as to allow each RBDA to perform at an optimum level according to the said ratio, which is the value of the Markovian Decision rule to ensure optimum efficiency. That is RBDA 1 gets 246.62 billion and RBDA 2 gets 536.14 billion.

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