Banca de QUALIFICAÇÃO: FERNANDA MARIA DA ROSA

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
DISCENTE : FERNANDA MARIA DA ROSA
DATA : 12/03/2020
HORA: 13:30
LOCAL: Auditório CEI - UNEMAT, Campus Sinop
TÍTULO:

Spectro-temporal analysis of anthropic interference in water production in the Guarani Aquifer

PALAVRAS-CHAVES:

Water security; Multiple uses; Remote sensing.

PÁGINAS: 78
GRANDE ÁREA: Ciências Exatas e da Terra
ÁREA: Geociências
SUBÁREA: Geofísica
ESPECIALIDADE: Sensoriamento Remoto
RESUMO:

In the 20th century, the demand for water increased by more than six times, causing intense exploitation of surface water sources (reservoirs) and above all underground water sources (aquifers) due to the quantity and quality of water stored. However, changes in land use and occupation and activities developed can interfere with the dynamics of the hydrological cycle and compromise the sustainability of the aquifer. This work aims to analyze spectrally and temporally the anthropic interference in the recharge potential of the Guarani Aquifer groundwater, in the outcrop and recharge area located in the state of São Paulo, in the period between 2012 to 2018. The methodology will be developed through survey of the daily rainfall index through the Climate Hazards group InfraRed Precipitation with Station data (CHIRPS); The actual and reference evapotranspirative rate will be obtained through the SSEBop BR application; The recharge estimate will be performed in the four monitoring wells of the piezometric level located in the outcrop area using the Water Table Fluctuation (WTF) method, using the computer program ESPERE; The slope map will be obtained from the ALOS satellite, through the PALSAR sensor; The survey of land use and occupation will be carried out using images from the Landsat Satellite 8, OLI-L8 sensor to detect four variables: Forest, exposed soil, anthropic use and water courses through the Normalized Index by Difference of Fraction (NDFI ); The statistical analysis will be performed through Principal Component Analysis (PCA) and Cluster Analysis, using the software R. It is expected with the development of this work, to present an overview of the current situation, showing the weaknesses and potentialities, as well as the proposition of alternatives to mitigate impacts, aiming at water security and multiple uses, to assist decision-making processes in public policies.

MEMBROS DA BANCA:
Presidente - 265126001 - Carlos Antonio da Silva Junior
Interno - 83168001 - FATIMA APARECIDA DA SILVA IOCCA
Externo à Instituição - GUILHERME FERNANDO CAPRISTO SILVA - UFMT
Externo à Instituição - RAFAEL COLL DELGADO - UFRRJ