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ISSN:
1798-2340 (Online)
Frequency:
Monthly
DOI:
10.12720/jait
Indexing:
ESCI (Web of Science)
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Scopus
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CNKI
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etc
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Acceptance Rate:
12%
APC:
1000 USD
Average Days to Accept:
87 days
Journal Metrics:
Impact Factor 2023: 0.9
4.2
2023
CiteScore
57th percentile
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Editor-in-Chief
Prof. Kin C. Yow
University of Regina, Saskatchewan, Canada
I'm delighted to serve as the Editor-in-Chief of
Journal of Advances in Information Technology
.
JAIT
is intended to reflect new directions of research and report latest advances in information technology. I will do my best to increase the prestige of the journal.
What's New
2024-06-26
Vol. 15, No. 6 has been published online!
2024-06-07
JAIT received the CiteScore 2023 with 4.2, ranked #169/394 in Category Computer Science: Information Systems, #174/395 in Category Computer Science: Computer Networks and Communications, #226/350 in Category Computer Science: Computer Science Applications
2024-05-28
Vol. 15, No. 5 has been published online!
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2022
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Volume 13, No. 3, June 2022
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JAIT 2022 Vol.13(3): 277-283
doi: 10.12720/jait.13.3.277-283
Methodology for Hydroelectric Potential Evaluation in High Jungle Area with Scarce Topographic and Hydrological Information Using GIS and Algorithm MATLAB
José C. Canales Orozco, Maria F. Gonzales Aranzana, and Sissi Santos Hurtado
Faculty of Civil Engineering, Peruvian University of Applied Sciences, Lima, Peru
Abstract
—Due to scarcity of topographic and hydrological information in high jungle areas, many times projects based on water management are not developed. This is of interest because they involve hydroelectric generation projects. The latter are considered important because of their capacity to satisfy the energy demand of a population and to minimize environmental impact of energy generation. In this sense, we propose a methodology for hydroelectric potential evaluation in high jungle areas that considers the following steps: (a) develop an algorithm in MATLAB in charge of searching geographical conditions for hydroelectric power plant’s location, (b) definition of restrictions: political delimitation, environmental and demographic, (c) generation of average flows based on rainfall-runoff models, estimation of hydroelectric potential and economic evaluation of selected points. The high jungle area studied was Utcubamba basin, in department of Amazonas, Peru, where 2 possible locations with hydroelectric power of 5.33 and 6.09 MW were located.
Index Terms
—hydroelectric potential, renewable energy, algorithm, geographic information system, hydrological model
Cite: José C. Canales Orozco, Maria F. Gonzales Aranzana, and Sissi Santos Hurtado, "Methodology for Hydroelectric Potential Evaluation in High Jungle Area with Scarce Topographic and Hydrological Information Using GIS and Algorithm MATLAB," Journal of Advances in Information Technology, Vol. 13, No. 3, pp. 277-283, June 2022.
Copyright © 2022 by the authors. This is an open access article distributed under the Creative Commons Attribution License (
CC BY-NC-ND 4.0
), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.
10-EB21-214-Peru
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