TY - JOUR
T1 - Integrating geospatial and ground geophysical information as guidelines for groundwater potential zones in hard rock terrains of south India
AU - Rashid, Mehnaz
AU - Lone, M.A.
AU - Ahmed, S.
PY - 2012/9/8
Y1 - 2012/9/8
N2 - The increasing demand of water has brought tremendous pressure on groundwater resources in the regions were groundwater is prime source of water. The objective of this study was to explore groundwater potential zones in Maheshwaram watershed of Andhra Pradesh, India with semi-arid climatic condition and hard rock granitic terrain. GIS-based modelling was used to integrate remote sensing and geophysical data to delineate groundwater potential zones. In the present study, Indian Remote Sensing RESOURCESAT-1, Linear Imaging Self-Scanner (LISS-4) digital data, ASTER digital elevation model and vertical electrical sounding data along with other data sets were analysed to generate various thematic maps, viz., geomorphology, land use/land cover, geology, lineament density, soil, drainage density, slope, aquifer resistivity and aquifer thickness. Based on this integrated approach, the groundwater availability in the watershed was classified into four categories, viz. very good, good, moderate and poor. The results reveal that the modelling assessment method proposed in this study is an effective tool for deciphering groundwater potential zones for proper planning and management of groundwater resources in diverse hydrogeological terrains.
AB - The increasing demand of water has brought tremendous pressure on groundwater resources in the regions were groundwater is prime source of water. The objective of this study was to explore groundwater potential zones in Maheshwaram watershed of Andhra Pradesh, India with semi-arid climatic condition and hard rock granitic terrain. GIS-based modelling was used to integrate remote sensing and geophysical data to delineate groundwater potential zones. In the present study, Indian Remote Sensing RESOURCESAT-1, Linear Imaging Self-Scanner (LISS-4) digital data, ASTER digital elevation model and vertical electrical sounding data along with other data sets were analysed to generate various thematic maps, viz., geomorphology, land use/land cover, geology, lineament density, soil, drainage density, slope, aquifer resistivity and aquifer thickness. Based on this integrated approach, the groundwater availability in the watershed was classified into four categories, viz. very good, good, moderate and poor. The results reveal that the modelling assessment method proposed in this study is an effective tool for deciphering groundwater potential zones for proper planning and management of groundwater resources in diverse hydrogeological terrains.
KW - Remote sensing
KW - Geophysics
KW - GIS
KW - Hard rock
KW - VES
KW - Groundwater potential zones
UR - http://www.scopus.com/inward/record.url?eid=2-s2.0-84864851194&partnerID=MN8TOARS
U2 - 10.1007/s10661-011-2305-2
DO - 10.1007/s10661-011-2305-2
M3 - Article
SN - 0167-6369
VL - 184
SP - 4829
EP - 4839
JO - Environmental Monitoring and Assessment
JF - Environmental Monitoring and Assessment
IS - 8
ER -