Promoting artificial recharge to enhance groundwater potential in the lower Bhavani River basin of South India using geospatial techniques

2020 ◽  
Author(s):  
B. Anand ◽  
D. Karunanidhi ◽  
T. Subramani
Keyword(s):  
River Basin ◽  
South India ◽  
Artificial Recharge ◽  
Groundwater Potential ◽  
Geospatial Techniques

scholarly journals An Approach to Mapping Groundwater Recharge Potential Zones using Geospatial Techniques in Kayadhu River Basin, Maharashtra

2020 ◽  
Author(s):  
Bhagwan B. Ghute ◽  
Shaikh Md. Babar
Keyword(s):  
Water Resources ◽  
River Basin ◽  
Artificial Recharge ◽  
Groundwater Resources ◽  
Drainage Density ◽  
Vital Role ◽  
Potential Zone ◽  
Geospatial Techniques ◽  
Recharge Potential ◽  
Surface Water Resources

Rapid increase in population, agricultural expansion and ongoing development projects in the region. However, the region is facing water scarcity because of seasonal precipitation and inadequate surface water resources. Therefore, groundwater resources are gaining much more attention mainly in Kayadhu river basin to fulfil drinkable water requirements in the area. To maintain the long-term sustainability of water resources artificial recharge is expected to become frequently necessary in future as the growing population requires more water and consequently, more storage is required to conserve water for use in the times of shortage. Geospatial techniques are used in the field of hydrology and water resources management. One of the chief advantages of this techniques for hydrological investigation and observe its ability to generate data in spatial and temporal fields, which plays vital role for fruitful analysis, estimation and authentication. The suitable zones for artificial recharge were identified by overlaying thematic layers such as land use/land cover, lineament density, slope, drainage density, lithology, geomorphology, rainfall and soil characteristics are integrated with recharge potential factors. The result reveals that 79% area of Kayadhu river basin is most effective for high to moderate artificial recharge potential zone.

Application of geospatial techniques in delineating groundwater potential zones: a case study from South India

2019 ◽  
Vol 12 (5) ◽  
Author(s):  
Periyasamy Mageshkumar ◽  
Anandakumar Subbaiyan ◽  
Elango Lakshmanan ◽  
Pradeep Thirumoorthy
Keyword(s):  
South India ◽  
Groundwater Potential ◽  
Groundwater Potential Zones ◽  
Geospatial Techniques

scholarly journals Identification of Groundwater Potential Zones using Geospatial Techniques in Palar River Basin, Tamil Nadu, India

2021 ◽  
Author(s):  
MANJUNATHAN NARAYANAN ◽  
THIRUKUMARAN VENUGOPAL
Keyword(s):  
Spatial Variation ◽  
Water Level ◽  
River Basin ◽  
Arima Model ◽  
Research Work ◽  
Groundwater Potential ◽  
Groundwater Potential Zone ◽  
Potential Zone ◽  
Groundwater Potential Zones ◽  
Geospatial Techniques

Abstract The present research work is aimed to identify the groundwater potential zones in the Palar River Basin (PRB). The Auto Regressive Integrated Moving Average (ARIMA) model, and geospatial techniques were used to determine the Groundwater Potential Zone (GPZ). Time series analysis is commonly used in a broad range of scientific applications including hydrology, metrology, geo-statistics, engineering and environmental management fields. The geospatial historical data of rainfall and water level recorded at yearly intervals for 14 years (2005 to 2018) was used to identify the fluctuation of water level with respect to rainfall with lower and upper confidence levels and eventually leads to identify the spatial variation of the groundwater potential zones. The ARIMA model evolved from analysis was further classified into Four types of goodness of fits namely excellent fit, good fit, poor fit, and no fit. The spatial variation of groundwater potential occurrence and behaviour of the region is controlled by geology, lineament, geomorphology and drainage. These layers have been integrated with the ArcGIS platform for generating Groundwater Potential Zone (GPZ) maps. The validation of the result shows that Excellent fits 40 wells (12.82%), good fits 108 wells (34.62%), poor fits 58 wells (16.66%), and no fits 106 wells (33.97%), the study area good groundwater potential zones approximately 47.44%. This research suggests that a good groundwater potential zone occurs in patches of the southern and eastern parts of the study area.

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