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Classification Of Water Resources In River Basins With Lack Of Data: A Case Study In Southern Brazil
Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan www.asabe.orgCitation: 21st Century Watershed Technology: Improving Water Quality and Environment Conference Proceedings, 21-24 February 2010, Universidad EARTH, Costa Rica 701P0210cd.(doi:10.13031/2013.29410)
Authors: João Batista Dias de Paiva, Eloiza Maria Cauduro D. de Paiva, Maria do Carmo Cauduro Gastaldini, Lorenza Oppa, Rodrigo Cauduro D. de Paiva
Keywords: Keywords: Water demand, Water Resources Classification, Water Quality, Mathematical Modeling
This paper aims at the analysis and development of technical and methodological basis for classification of water resources bodies in river basins with lack of data. It was based on Brazilians water quality standard. The Vacaca Mirim River Basin, with 1120 Km2 of drainage area, located between the latitudes -29 36 55 and -29 39 50 and longitudes -53 46 30 and -53 49 29, in southern Brazil was used as a case study. A water usage classifier proposal was presented to the government office for management of water resource of the state of Rio Grande do Sul, which is based on the characterization of the physical environment and the water quality, as well as an estimation of availability and consumption of water. The estimated total water consumption in the basin in 2005 was 141,542,873 m3, being 7.53% for public supply and 92.47% for the irrigation of rice crops. Characterization of the water quality was carried out using QUAL2E model, which applied samples collected on field expeditions at ten spots of the river. Estimation of the natural flow was based on a new simplified methodology based on the SMAP model and on a genetic algorithm to optimization. Input data consisted of the observed flow at the basins outlet, and the estimated water consumption for irrigation as well as for public supply. Results have shown that the developed methodology is well suited for basins of rivers subjected to intensive water usage and with limited amount of data.(Download PDF) (Export to EndNotes)