Application of remote sensing and GIS for identification of potential ground water recharge sites in Semi-arid regions of Hard-rock terrain, in north Karnataka, South India

2018 ◽  
Vol 4 (4) ◽  
pp. 1063-1076 ◽  
Author(s):  
Tejaswini Nikhil Bhagwat ◽  
V. S. Hegde ◽  
Amba Shetty
Keyword(s):  
Remote Sensing ◽  
Ground Water ◽  
Arid Regions ◽  
South India ◽  
Hard Rock ◽  
Remote Sensing And Gis ◽  
Hard Rock Terrain ◽  
Ground Water Recharge ◽  
Water Recharge ◽  
Semi Arid

Remote sensing and GIS based approaches to estimate evapotranspiration in the arid and semi-arid regions

2021 ◽  
Author(s):  
Fares M. Howari ◽  
Manish Sharma ◽  
Cijo M. Xavier ◽  
Yousef Nazzal ◽  
Imen Ben Salem ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Arid Regions ◽  
Remote Sensing And Gis ◽  
Semi Arid

GIS and Remote sensing Approach in Identifying Ground Water Recharge Zones of Cheriyal Watershed

2019 ◽  
Vol 8 (1) ◽  
pp. 142
Author(s):  
B Meghana ◽  
Ch Rakesh ◽  
P karthik ◽  
D Girish ◽  
Ch Radha Srivalli
Keyword(s):  
Remote Sensing ◽  
Ground Water ◽  
Gis And Remote Sensing ◽  
Ground Water Recharge ◽  
Water Recharge

scholarly journals Use of Earth Observation Images and GIS Techniques for Groundwater Exploration in Hard Rock Terrain

2019 ◽  
Vol 2 (1) ◽  
Author(s):  
P. MOHANA ◽  
S Muthusamy
Keyword(s):  
Remote Sensing ◽  
Water Resources ◽  
Ground Water ◽  
Hard Rock ◽  
Groundwater Potential ◽  
Groundwater Exploration ◽  
Scientific Data ◽  
Srtm Dem ◽  
Regional Patterns ◽  
Hard Rock Terrain

Prolonged drought and improper maintenance of water resources increased the demands on ground-water supplies resulting are focuses for the need to evaluate ground-water resources in the hard rock terrain. In recent years, Remote-Sensing methods have been increasingly recognized as a means of obtaining crucial geo-scientific data for both regional and site-specific investigations. This work aims to develop and apply integrated methods combining the information obtained by geo-hydrological field mapping and those obtained by analyzing multi-source remotely sensed data in a GIS environment for better understanding the Groundwater condition in hard rock terrain. In this study, digitally enhanced Landsat ETM+ data was used to extract information on geology, geomorphology. Hill-Shading techniques are applied to SRTM DEM data to enhance terrain perspective views and to extract Geomorphological features and morphologically defined structures through the means of lineament analysis. A combination of Spectral information from Landsat ETM+ data plus spatial information from SRTM-DEM data is used to address the groundwater potential of alluvium, colluvium and fractured crystalline rocks in study area. The spatial distribution of groundwater potential zones shows regional patterns related to lithologies, lineaments, drainage systems and landforms. High yielding wells and springs are often related to large lineaments and corresponding structural features such as dykes. The results demonstrate that the integration of remote sensing, GIS, traditional fieldwork and models provide a powerful tool in the assessment and management of water resources and development of groundwater exploration plans.

REOF analysis of ground water level variation in an Urban hard rock aquifer system

2021 ◽  
Author(s):  
Vineeth Vijayan ◽  
Parthasarathy Ramachandran
Keyword(s):  
Ground Water ◽  
Water Level ◽  
Hard Rock ◽  
Ground Water Level ◽  
Level Variation ◽  
Water Level Variation ◽  
Aquifer System ◽  
Ground Water Recharge ◽  
Water Recharge ◽  
Hard Rock Aquifer

<p>Strategies for sustainable ground water management are to be planned at regional scale. Urban ground water recharge is complex and dynamic. Various factors contribute to ground water level variation. Understanding the ground water recharge components is essential in planning and management of the water resources in any city. This study attempts to understand the spatiotemporal variations of an urban hard rock aquifer system in Bengaluru, India using REOF analysis and Kriging. Bengaluru meets its needs of water supply from river Cauvery. The water supply utility has an increasing block tariff to control the water demand in the city. But it measures only the use of surface water that is being supplied by the utility. Ground water, being a free resource, bridges the demand supply gap in the city. More than half of the water demand in the city is met through ground water. Hence it is essential to understand the components of ground water level variation in this hard rock aquifer system. Rotated empirical orthogonal function (REOF) analysis of monthly piezometric heads from 153 monitoring wells measured during 2015-2017 is used to identify the primary ground water recharge components. The major components of ground water level variation in the study area was identified as rainfall and pipeline leakage. Ordinary Kriging was used to regionalize the identified significant empirical orthogonal functions.</p>

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