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Modelling and monitoring water table depths in a Guarani Aquifer System recharge area

Grant number: 09/05204-8
Support type:Regular Research Grants
Duration: August 01, 2009 - July 31, 2011
Field of knowledge:Physical Sciences and Mathematics - Geosciences - Physical Geography
Principal Investigator:Rodrigo Lilla Manzione
Grantee:Rodrigo Lilla Manzione
Home Institution: Universidade Estadual Paulista (UNESP). Campus de Ourinhos. Ourinhos , SP, Brazil

Abstract

Water is responsible to keep ecosystems, cities, agriculture and industrial activities. Water resources monitoring provides information for planning and sustainable use of water. It should be done serving the demand without affect the offer, and also not compromising important aquifer reserves. To model this kind of phenomenon is necessary to consider seasonality variations to characterize the system dynamics. Moreover, considering uncertainty about water table estimations is possible to predict and map risks associated with water exploration. The Guarani Aquifer System (GAS) is an important world groundwater reservoir. In Brazil it has large economical importance, with several cities located under its range. Recharge zones represents 10% of its total area. The aim of this project is to characterize the water resources of Ribeirão da Onça basin, municipality of Brotas (SP), mapping extreme water table depths from simulated transfer function noise models physically based. Is expected to comprehend and modeling GAS recharge mechanismis, one time that Ribeirão da Onça basin is located under recharge zones. To understand the hydrological processes in a basin monitored in detailed scale will give a methodological basis for studies in other direct recharge areas of the GAS or even in other free aquifer systems. (AU)

Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
MANZIONE, RODRIGO L.; WENDLAND, EDSON; TANIKAWA, DIEGO H. Stochastic simulation of time-series models combined with geostatistics to predict water-table scenarios in a Guarani Aquifer System outcrop area, Brazil. HYDROGEOLOGY JOURNAL, v. 20, n. 7, p. 1239-1249, NOV 2012. Web of Science Citations: 12.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.