Abstract
The application of regionalization methods is one of the most important procedures for the estimation of the streamflow discharge in ungauged rivers catchments and its automation can reduce both processing time and susceptibility to errors. The Environmental Systems Research Institute (ESRI), in cooperation with the Center for Research in Water Resources at University of Texas (CRWR), has developed the ArcHydro toolset, a geospatial data model designed for hydrological models and used to accumulate attributes in the hydrographical net, among other functionalities. The present paper addresses the automation of the low flow index Q 95 accumulation in the Doce River Basin by ArcHydro and the application of the regionalization method based on the proportionality of the ratio discharge per unit of drainage area. The effects of the reservoirs operation on water availability were computed automatically in this process and reliable results time savings were achieves.
Highlights
One of the objectives of water resource management in Brazil is to ensure the necessary water availability in adequate quality standards for the current and future generations
Given the scarcity of hydrological information, the hydrologic regionalization technique has been used for the transfer of data from spatially gauged stations to locations that require the management of water resources and lack the necessary information
One of the widespread and consecrated regionalization methods is based on the proportionality of the ratio between the discharge and drainage area, which was applied, for example, to several basins of Report Conjecture of Water Resources of Brazil (ANA, 2009), one of the main important Brazilian documents about water resources
Summary
One of the objectives of water resource management in Brazil is to ensure the necessary water availability in adequate quality standards for the current and future generations. When subjected to automation through GIS tools (Geographic Information System), this step becomes quite efficient and reduces the processing time and likelihood of errors Based on his geodatabase format, the Environmental Systems Research Institute (ESRI), in cooperation with the Center for Research in Water Resources at University of Texas (CRWR), has developed the ArcHydro module, which is a geospatial data model designed for hydrological models that summarizes geospatial and temporal data related to water resources for hydrological analyses. This study addresses the automation of the water availability estimation along the hydrographic through ArcHydro module, based on the proportional method of specific yield considering the effects of the operation of the reservoir. This process was applied for the Doce River Basin
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