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JournalISSN: 2318-0331

Revista Brasileira de Recursos Hídricos 

Brazilian Association of Water Resources
About: Revista Brasileira de Recursos Hídricos is an academic journal published by Brazilian Association of Water Resources. The journal publishes majorly in the area(s): Drainage basin & Water quality. It has an ISSN identifier of 2318-0331. Over the lifetime, 970 publications have been published receiving 5859 citations.


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TL;DR: In this article, the aim is to "vitalizar e ampliar os sistemas nacionais de reuso e reciclagem de residuos", and "tornar disponivel informacoes, tecnologia e instrumentos de gestao apropriados for encorajar e tornar operacional, sistema de recic lagem e uso de aguas residuarias".
Abstract: No Capitulo 21“Gestao ambientalmente adequada de residuos liquidos e solidos”, Area Programatica B “Maximizando o reuso e a reciclagem ambientalmente adequadas”, estabeleceu, como objetivos basicos: "vitalizar e ampliar os sistemas nacionais de reuso e reciclagem de residuos", e "tornar disponivel informacoes, tecnologia e instrumentos de gestao apropriados para encorajar e tornar operacional, sistemas de reciclagem e uso de aguas residuarias".

111 citations

Journal ArticleDOI
TL;DR: In this paper, the responses of the rainfall-runoff model of SCS applied to the original hydrologic soil classification and with the classification suggested by Sartori et al. (2005) to observed precipitation events in order to estimate excess rainfall and peak flow were compared to the events observed in the watershed.
Abstract: The rainfall-runoff model of the United States Department of Agriculture (USDA) Soil Conservation Service (SCS) is often used in engineering projects, either to calculate excess rainfall or for a design hydrograph. However, it is known that the main parameter of the method is the runoff curve number (CN). It is also known that the hydrologic soil classification is very important to estimate CN and it has not been developed for tropical soils such as those in Brazil. Sartori et al. (2005) point out a few difficulties for its application and present a suggestion for hydrologic soil classification in Brazil based on the work of Lombardi Neto et al. (1989). As all proposals deserve to be evaluated, this study is developed to analyze the responses of the rainfall-runoff model of SCS applied to the original hydrologic soil classification and with the classification suggested by Sartori et al. (2005) to observed precipitation events in order to estimate excess rainfall and peak flow which was obtained with the triangular unit hydrograph of the SCS and with the mean unit hydrograph representing Ribeirão dos Marins watershed, in the municipality of Piracicaba, São Paulo, Brazil, with an area close to 21.87 RBRH – Revista Brasileira de Recursos Hídricos Volume 10 n.4 Out/Dez 2005, 19-29 29 km. The simulated results using two hydrologic soil classifications were compared to the events observed in the watershed. From the comparisons made it was observed that a better result was obtained with the hydrologic classification suggested by Sartori et al. (2005) and with the representative unit hydrograph of the watershed. These results indicate that the hydrologic soil classification suggested by Sartori et al. (2005) is more appropriate for the soil conditions in the watershed studied and that the unit hydrograph of the SCS tends to overestimate peak flow

78 citations

Journal ArticleDOI
TL;DR: In this article, the authors summarized the state of knowledge on the subject and described the principal impacts of land-use changes on flow, and showed that mean flow increases after deforestation of small, rural drainage basins, but there are no consistent results fron medium and lage basins.
Abstract: Natural and man-induced changes to plant cover in drainage basins influence hydrological behaviour. The changes have varied effect both on the natural environment and the availability of water resources. This paper summarises the state of knowledge on the subject and describes the principal impacts of land-use changes on flow. Experimental studies clearly show that mean flow increases after deforestation of small, rural drainage basins, but there are no consistent results fron medium and lage basins.

68 citations

Journal ArticleDOI
TL;DR: In this article, a physically-based large-scale hydrological model is presented, which takes into account the distributed nature of the basin's characteristics such as land use, vegetation and stream network.
Abstract: The simulation showing transformation of rainfall into streamflow, and routing the generated flows through the streams in a basin, is widely used in many fields of water resources analysis, including understandSimulacao Hidrologica de Grandes Bacias 118 ing the earth surface phase processes of the hydrologic cycle. The early mathematical models developed to simulate this transformation were based on empirical relations between hydrological variables. The newgeneration hydrological models are physically based and distributed, and are adequate to represent small basins. There are few models able to simulate the hydrological processes in large basins, with an adequate physical base. In this paper we present a physically-based large-scale hydrological model, that takes into account the distributed nature of the basin’s characteristics such as land use, vegetation and stream network. The model was applied to two basins, almost 27.000 km2, with very distinct physical characteristics, and with many rainfall and streamflow gauging stations. The model performance, estimated by the fit between measured and calculated daily river discharges at different gauging stations, was very good. Applying the model enabled a preliminary analysis of land use changes in one of the basins, improving the understanding and comparison of the hydrological behavior of both basins. All results show that a large-scale hydrological model is a very useful tool in water resources analysis, even considering the data availability conditions in countries like Brazil. Key-words: simulation; rainfall-streamflow; large basins.

68 citations

Performance
Metrics
No. of papers from the Journal in previous years
YearPapers
202314
202211
20201
20193
20181
20171