Stochastic simulation of time-series models combined with geostatistics to predict water-table scenarios in a Guarani Aquifer System outcrop area, Brazil

Autor(es)

Manzione, Rodrigo L. ^[1] ; Wendland, Edson ^[2] ; Tanikawa, Diego H. ^[1]

Afiliação do(s) autor(es)

^[1] UNESP Sao Paulo State Univ, BR-19910206 Ourinhos, SP - Brazil

^[2] Univ Sao Paulo, EESC Dept Hydraul & Sanit Engn, BR-13560970 Sao Carlos, SP - Brazil

• Tipo de documento: Artigo Científico
• Fonte: HYDROGEOLOGY JOURNAL; v. 20, n. 7, p. 1239-1249, NOV 2012.
• Citações Web of Science: 12

Resumo

Stochastic methods based on time-series modeling combined with geostatistics can be useful tools to describe the variability of water-table levels in time and space and to account for uncertainty. Monitoring water-level networks can give information about the dynamic of the aquifer domain in both dimensions. Time-series modeling is an elegant way to treat monitoring data without the complexity of physical mechanistic models. Time-series model predictions can be interpolated spatially, with the spatial differences in water-table dynamics determined by the spatial variation in the system properties and the temporal variation driven by the dynamics of the inputs into the system. An integration of stochastic methods is presented, based on time-series modeling and geostatistics as a framework to predict water levels for decision making in groundwater management and land-use planning. The methodology is applied in a case study in a Guarani Aquifer System (GAS) outcrop area located in the southeastern part of Brazil. Communication of results in a clear and understandable form, via simulated scenarios, is discussed as an alternative, when translating scientific knowledge into applications of stochastic hydrogeology in large aquifers with limited monitoring network coverage like the GAS. (AU)

• Processo FAPESP: 10/14914-6 - Análise de tendências nos níveis freáticos em uma área de Recarga do Sistema Aquífero Guarani em função de diferentes usos do solo
• Beneficiário: Diego Hiroshi Tanikawa
• Linha de fomento: Bolsas no Brasil - Iniciação Científica
• Processo FAPESP: 09/05204-8 - Modelagem e monitoramento de níveis freáticos em área de recarga do Sistema Aquífero Guarani
• Beneficiário: Rodrigo Lilla Manzione
• Linha de fomento: Auxílio à Pesquisa - Regular
• Processo FAPESP: 11/11484-3 - Monitoramento integrado de parâmetros de quantidade e qualidade da água disponível em área de recarga do sistema Aquífero Guarani
• Beneficiário: Rodrigo Lilla Manzione
• Linha de fomento: Auxílio à Pesquisa - Regular