SPATIAL ANALYSIS OF WORKS OF THE SAO FRANCISCO RIVER INTEGRATION PROJECT--PISF NO ESTADO DA PARAIBA

• Published in: Geo UERJ : revista do Departamento de Geografia no. 28; p. 219
• Main Authors: Neto, Francisco Vilar Araujo Segundo, Vianna, Pedro Costa Guedes
• Format: Journal Article
• Language: Spanish
• Published: Universidade do Estado do Rio de Janeiro- Uerj 01.01.2016
• ISSN: 1415-7543
• DOI: 10.12957/geouerj.2016.14536

This study intends to develop a spatial analysis of the hydraulic works of PISF--Sao Francisco river Integration Project, on your East Branch, in Paraiba state, which are the responsibility of the State Government. Were identified the tracings of the works, the benefiting municipalities, potential flows, storage structures and volumes available for the various activities. This analysis was done with support of Geotechnologies resources, specifically of Geographic Information Systems, Remote Sensing and the field contributed by the Global Positioning Satellite System. The results demonstrate that the first project presented with resources provided by the Federal Government foresee, in the foreground, the use of water on the littoral region, with the Canal Acaua-Aracagi (secondary work of the PISF). However, for Agreste and Cariri, regions between the lowest rainfall in Brazil, the only guarantee is the supply of some cities through adductor systems. The various versions projects and tracings show the blurring of state governments with the destination and use of transposed waters. The various versions projects and tracings submitted by the various rulers state, along with its mandates, show the indefinition about the fate and the use of transposed waters. The different types of conduits (channels, tunnels, adductor, etc.), volumes reserved for each segment and adaptation of existing reservoirs, were the object of comparison and examination. The spatial analysis shows that the interests of corporate agriculture and agribusiness are being prioritized in relation to lack of water supply for the rural population, in the case, the region with the lowest rainfall of the state index.