Reservoir simulation model for the design of irrigation projects
Madeti, Siva Ramakrishna ; Saini, Gaurav and Kumar, Krishna LU
(2022)
p.341-358
- Abstract
This chapter presents a simulation model for the optimization of a reservoir system that is being developed. Simulation studies were carried out, firstly to determine the best (and by how much) irrigation facilities to provide in the proposed new scheme, and secondly, to see the applicability of simulation in reservoir planning. A computer simulation model using MATLAB has been developed to analyze optimal reservoir capacity. A cost-benefit analysis is a systematic process to determine the payback. The operation model has been applied to Harabhangi single-purpose irrigation in Orissa State, India. From the simulation results, it is found that a lower capacity of 120MCM (million cubic meters) may only be required to satisfy the future... (More)
This chapter presents a simulation model for the optimization of a reservoir system that is being developed. Simulation studies were carried out, firstly to determine the best (and by how much) irrigation facilities to provide in the proposed new scheme, and secondly, to see the applicability of simulation in reservoir planning. A computer simulation model using MATLAB has been developed to analyze optimal reservoir capacity. A cost-benefit analysis is a systematic process to determine the payback. The operation model has been applied to Harabhangi single-purpose irrigation in Orissa State, India. From the simulation results, it is found that a lower capacity of 120MCM (million cubic meters) may only be required to satisfy the future annual irrigation requirement of 220MCM, whereas the existing reservoir capacity is already in excess. This study can be helpful to obtain maximum benefits of any reservoir system by optimal utilization of water resources.
(Less)
- author
- Madeti, Siva Ramakrishna
; Saini, Gaurav
and Kumar, Krishna
LU
- publishing date
- 2022-01-01
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Cost-benefit approach, Harabhangi river, Irrigation reservoir design, MATLAB, Reservoir
- host publication
- Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies
- pages
- 18 pages
- publisher
- Elsevier
- external identifiers
-
- scopus:85137479793
- ISBN
- 9780323912280
- 9780323914284
- DOI
- 10.1016/B978-0-323-91228-0.00009-4
- language
- English
- LU publication?
- no
- additional info
- Publisher Copyright: © 2022 Elsevier Inc. All rights reserved.
- id
- 65296f75-6f1f-40dc-a74b-7b0b95d5997d
- date added to LUP
- 2024-04-15 13:49:57
- date last changed
- 2024-05-16 14:46:50
@inbook{65296f75-6f1f-40dc-a74b-7b0b95d5997d,
abstract = {{<p>This chapter presents a simulation model for the optimization of a reservoir system that is being developed. Simulation studies were carried out, firstly to determine the best (and by how much) irrigation facilities to provide in the proposed new scheme, and secondly, to see the applicability of simulation in reservoir planning. A computer simulation model using MATLAB has been developed to analyze optimal reservoir capacity. A cost-benefit analysis is a systematic process to determine the payback. The operation model has been applied to Harabhangi single-purpose irrigation in Orissa State, India. From the simulation results, it is found that a lower capacity of 120MCM (million cubic meters) may only be required to satisfy the future annual irrigation requirement of 220MCM, whereas the existing reservoir capacity is already in excess. This study can be helpful to obtain maximum benefits of any reservoir system by optimal utilization of water resources.</p>}},
author = {{Madeti, Siva Ramakrishna and Saini, Gaurav and Kumar, Krishna}},
booktitle = {{Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies}},
isbn = {{9780323912280}},
keywords = {{Cost-benefit approach; Harabhangi river; Irrigation reservoir design; MATLAB; Reservoir}},
language = {{eng}},
month = {{01}},
pages = {{341--358}},
publisher = {{Elsevier}},
title = {{Reservoir simulation model for the design of irrigation projects}},
url = {{http://dx.doi.org/10.1016/B978-0-323-91228-0.00009-4}},
doi = {{10.1016/B978-0-323-91228-0.00009-4}},
year = {{2022}},
}