Determining Areas for Potential Growndwater Recharge in Industry Premises using GIS


Authors : Meghana Kashyap; AtikukkeVishnu Sharma; Chinmaya Delampady; Yerabham Praveen Kumar Reddy

Volume/Issue : Volume 8 - 2023, Issue 10 - October

Google Scholar : http://tinyurl.com/mw2x9xnf

Scribd : http://tinyurl.com/48p6xnp2

DOI : https://doi.org/10.5281/zenodo.10390071

Abstract : Groundwater is a vital resource that plays a significant role in sustaining many different industries. To ensure the long-term availability of this resource, it is essential to identify potential groundwater recharge points within industrial premises. This study focuses on the determination of optimal locations for groundwater recharge within industrial sites. Through a combination of geospatial analysis, hydrological modelling, and site- specific assessments, potential recharge points are identified based on factors such as land use/land cover, soil type, hydrogeological conditions, along with rainfall patterns. The methodology involves integrating geographic information system (GIS) data, hydrological modelling techniques, and field investigations. By identifying suitable areas for groundwater recharge, industries can implement sustainable water management practices that enhance groundwater availability, mitigate water scarcity, and contribute to the overall environmental sustainability of industrial operations. The findings of this study provide valuable insights for decision-makers and industrial stakeholders seeking to establish effective groundwater management strategies within their premises. In this study, a fruit processing/beverage industry situated in Narimogaru a village in Puttur Taluk, DakshinaKannada District, Karnataka is the area of study within the extent, 12° 45.69’- 12° 45.54’N, left: 75° 15.06’-75° 15.24’E and of area 63155.5 sq. km. It was determined to have 4 main classifications of land use/land cover, namely barren, buildings, greenery and paved. The soil group was identified as HSG-C and possible runoff of 105246000 million litres during the wet season of the year was calculated from the daily rainfall data for the wet season of the previous year.

Keywords : GIS; Ground Water Recharge; SCS-CN Curve Number; Geospatial Analysis.

Groundwater is a vital resource that plays a significant role in sustaining many different industries. To ensure the long-term availability of this resource, it is essential to identify potential groundwater recharge points within industrial premises. This study focuses on the determination of optimal locations for groundwater recharge within industrial sites. Through a combination of geospatial analysis, hydrological modelling, and site- specific assessments, potential recharge points are identified based on factors such as land use/land cover, soil type, hydrogeological conditions, along with rainfall patterns. The methodology involves integrating geographic information system (GIS) data, hydrological modelling techniques, and field investigations. By identifying suitable areas for groundwater recharge, industries can implement sustainable water management practices that enhance groundwater availability, mitigate water scarcity, and contribute to the overall environmental sustainability of industrial operations. The findings of this study provide valuable insights for decision-makers and industrial stakeholders seeking to establish effective groundwater management strategies within their premises. In this study, a fruit processing/beverage industry situated in Narimogaru a village in Puttur Taluk, DakshinaKannada District, Karnataka is the area of study within the extent, 12° 45.69’- 12° 45.54’N, left: 75° 15.06’-75° 15.24’E and of area 63155.5 sq. km. It was determined to have 4 main classifications of land use/land cover, namely barren, buildings, greenery and paved. The soil group was identified as HSG-C and possible runoff of 105246000 million litres during the wet season of the year was calculated from the daily rainfall data for the wet season of the previous year.

Keywords : GIS; Ground Water Recharge; SCS-CN Curve Number; Geospatial Analysis.

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