To: Author

Article Fingerprint
ReserarchID
RE9D8VH
Choose where you want to hide AI Takeaway. Your site-wide choice will be remembered in this browser.
This paper presents a general system for the reconstitution of natural flows series to support the SNIRH (Brazilian acronym for National Water Resources Information System). There is a need for system structuring due to the fact that streamflows may suffer human modifications which difficult to carry out water resources management. In order to make a reliable assessment, it is essential to determine the socalled “natural flow series” i.e. the flows that would have occurred prior to human action. The SisVazNat system was applied in the Tocantins watershed, located in the Amazon Region, and in order to validate the proposed methodology, the results were compared with those published by the Electric System National Operator (ONS). The mean percent differences obtained in each hydropower plant were, respectively: UHE Serra da Mesa (3.2%); UHE Cana Brava (5.6%); UHE Lajeado (4.2%) and UHE Tucuruí (4.4%), allowing the validation of the tool.
Dr. Antonio Ferreira da Hora, Prof. Eduardo Marques. 2012. "Sisvaznat: Natural Flows Reconstitution System as a Support for Water Resources Management". Global Journal of Research in Engineering - J: General Engineering GJRE-J Volume 12 (GJRE Volume 12 Issue J3).
Crossref Journal DOI 10.17406/gjre
Print ISSN 0975-5861
e-ISSN 2249-4596
v1.2
Explore published articles in an immersive Augmented Reality environment. Our platform converts research papers into interactive 3D books, allowing readers to view and interact with content using AR and VR compatible devices.
Your published article is automatically converted into a realistic 3D book. Flip through pages and read research papers in a more engaging and interactive format.
Total Score: 108
Country: Brazil
Subject: Global Journal of Research in Engineering
Authors: Dr. Antonio Ferreira da Hora, Prof. MAnica de Aquino Galeano Massera da Hora, Prof. Eduardo Marques (PhD/Dr. count: 1)
View Count (all-time): 345
Total Views (Real + Logic): 1969
Total Downloads (simulated): 109
Publish Date: 2012 01, Sun
Monthly Totals (Real + Logic):
We use cookies and similar technologies to improve site performance, understand traffic, and enhance your publishing experience. Cookie Policy
Choose which optional cookies Global Journals can use. Your preference applies across this platform and can be updated any time.
These cookies are required for core website functionality and security.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.