Modeling of groundwater potential of the sub-basin of Siriri river, Sergipe state, Brazil, based on Geographic Information System and Remote Sensing

The use of Geographic Information System (GIS) and Remote Sensing for modeling groundwater potential give support for the analysis and decision-making processes about water resource management in watersheds. The objective of this work consisted in modeling the groundwater water potential of Siriri r...

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Main Authors: Washington Franca Rocha, Antonio Jorge Vasconcellos Garcia, Daniela Dantas de Menezes Ribeiro
Format: Article
Language:English
Published: Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHi) 2011-08-01
Series:Revista Ambiente & Água
Subjects:
Online Access:http://www.ambi-agua.net/seer/index.php/ambi-agua/article/view/608
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author Washington Franca Rocha
Antonio Jorge Vasconcellos Garcia
Daniela Dantas de Menezes Ribeiro
author_facet Washington Franca Rocha
Antonio Jorge Vasconcellos Garcia
Daniela Dantas de Menezes Ribeiro
author_sort Washington Franca Rocha
collection DOAJ
description The use of Geographic Information System (GIS) and Remote Sensing for modeling groundwater potential give support for the analysis and decision-making processes about water resource management in watersheds. The objective of this work consisted in modeling the groundwater water potential of Siriri river sub-basin, Sergipe state, based on its natural environment (soil, land use, slope, drainage density, lineament density, rainfall and geology) using Remote Sensing and Geographic Information System as an integration environment. The groundwater potential map was done using digital image processing procedures of ENVI 4.4 software and map algebra of ArcGIS 9.3®. The Analytical Hierarchy Method was used for modeling the weights definition of the different criteria (maps). Loads and weights of the different classes were assigned to each map according to their influence on the overall objective of the work. The integration of these maps in a GIS environment and the AHP technique application allowed the development of the groundwater potential map in five classes: very low, low, moderate, high, very high. The average flow rates of wells confirm the potential of aquifers Sapucari, Barriers and Maruim since they are the most exploited in this sub-basin, with average flows of 78,113 L/h, 19,332 L/h and 12,085 L/h, respectively.
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spelling doaj.art-06a92e1f2ec14f9da53368d31a4912f52022-12-21T19:10:24ZengInstituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHi)Revista Ambiente & Água1980-993X2011-08-016220623110.4136/ambi-agua.608Modeling of groundwater potential of the sub-basin of Siriri river, Sergipe state, Brazil, based on Geographic Information System and Remote SensingWashington Franca RochaAntonio Jorge Vasconcellos GarciaDaniela Dantas de Menezes RibeiroThe use of Geographic Information System (GIS) and Remote Sensing for modeling groundwater potential give support for the analysis and decision-making processes about water resource management in watersheds. The objective of this work consisted in modeling the groundwater water potential of Siriri river sub-basin, Sergipe state, based on its natural environment (soil, land use, slope, drainage density, lineament density, rainfall and geology) using Remote Sensing and Geographic Information System as an integration environment. The groundwater potential map was done using digital image processing procedures of ENVI 4.4 software and map algebra of ArcGIS 9.3®. The Analytical Hierarchy Method was used for modeling the weights definition of the different criteria (maps). Loads and weights of the different classes were assigned to each map according to their influence on the overall objective of the work. The integration of these maps in a GIS environment and the AHP technique application allowed the development of the groundwater potential map in five classes: very low, low, moderate, high, very high. The average flow rates of wells confirm the potential of aquifers Sapucari, Barriers and Maruim since they are the most exploited in this sub-basin, with average flows of 78,113 L/h, 19,332 L/h and 12,085 L/h, respectively.http://www.ambi-agua.net/seer/index.php/ambi-agua/article/view/608groundwaterAnalytical Hierarchy MethodmapGIS
spellingShingle Washington Franca Rocha
Antonio Jorge Vasconcellos Garcia
Daniela Dantas de Menezes Ribeiro
Modeling of groundwater potential of the sub-basin of Siriri river, Sergipe state, Brazil, based on Geographic Information System and Remote Sensing
Revista Ambiente & Água
groundwater
Analytical Hierarchy Method
map
GIS
title Modeling of groundwater potential of the sub-basin of Siriri river, Sergipe state, Brazil, based on Geographic Information System and Remote Sensing
title_full Modeling of groundwater potential of the sub-basin of Siriri river, Sergipe state, Brazil, based on Geographic Information System and Remote Sensing
title_fullStr Modeling of groundwater potential of the sub-basin of Siriri river, Sergipe state, Brazil, based on Geographic Information System and Remote Sensing
title_full_unstemmed Modeling of groundwater potential of the sub-basin of Siriri river, Sergipe state, Brazil, based on Geographic Information System and Remote Sensing
title_short Modeling of groundwater potential of the sub-basin of Siriri river, Sergipe state, Brazil, based on Geographic Information System and Remote Sensing
title_sort modeling of groundwater potential of the sub basin of siriri river sergipe state brazil based on geographic information system and remote sensing
topic groundwater
Analytical Hierarchy Method
map
GIS
url http://www.ambi-agua.net/seer/index.php/ambi-agua/article/view/608
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AT danieladantasdemenezesribeiro modelingofgroundwaterpotentialofthesubbasinofsiriririversergipestatebrazilbasedongeographicinformationsystemandremotesensing