Groundwater favorability map using GIS multicriteria data analysis on crystalline terrain, Sao Paulo State, Brazil

Autor(es)

Madrucci, Vanessa ^{[1, 2]} ; Taioli, Fabio ^[1] ; de Araujo, Carlos Cesar ^[2]

Afiliação do(s) autor(es)

^[1] Univ Sao Paulo, Inst Geociencias, BR-05508 Sao Paulo - Brazil

^[2] PETROBRAS, ANI, BR-20031912 Rio De Janeiro - Brazil

• Tipo de documento: Artigo Científico
• Fonte: Journal of Hydrology; v. 357, n. 3-4, p. 153-173, AUG 15 2008.
• Citações Web of Science: 67

Resumo

This paper presents the groundwater favorability mapping on a fractured terrain in the eastern portion of Sao Paulo State, Brazil. Remote sensing, airborne geophysical data, photogeologic interpretation, geologic and geomorphologic maps and geographic information system (GIS) techniques have been used. The results of cross-tabulation between these maps and well yield data allowed groundwater prospective parameters in a fractured-bedrock aquifer. These prospective parameters are the base for the favorability analysis whose principle is based on the knowledge-driven method. The mutticriteria analysis (weighted linear combination) was carried out to give a groundwater favorabitity map, because the prospective parameters have different weights of importance and different classes of each parameter. The groundwater favorability map was tested by cross-tabulation with new well yield data and spring occurrence. The wells with the highest values of productivity, as well as all the springs occurrence are situated in the excellent and good favorabitity mapped areas. It shows good coherence between the prospective parameters and the well yield and the importance of GIS techniques for definition of target areas for detail study and wells location. (c) 2008 Elsevier B.V. All rights reserved. (AU)

• Processo FAPESP: 00/05740-2 - Prospeccao de agua subterranea em terreno cristalino com o auxilio de dados de sensoriamento remoto, geofisicos e modelagem matematica, na regiao das bacias hidrograficas dos rios mogi guacu e pardo...
• Beneficiário: Vanessa Madrucci
• Modalidade de apoio: Bolsas no Brasil - Doutorado