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Assessment of Aquifer Vulnerability of Nizamabad District, Telangana State, India Using GIS and Drastic Method

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International Conference on Emerging Trends in Engineering (ICETE)

Part of the book series: Learning and Analytics in Intelligent Systems ((LAIS,volume 2))

Abstract

The precipitation falling on the surface earth, either it runoff over land to the stream or some part of it infiltrates into the ground. The part which moves into the ground either get transplanted by the plants and goes back to the atmosphere or some part of it percolated deep down and contributes water already inside the earth. The water which is existing below the ground surface is commonly called as ground water or subsurface water. Countries like India, most of the people use groundwater for drinking purpose. Due to increase of waste on earth surface which can effect groundwater quality. It can leads to contamination of groundwater. The present study is conducted to assess the groundwater vulnerability and prepare vulnerability map for Nizamabad district, Telangana state using DRASTIC model in ARC GIS 10.4.1 groundwater vulnerability map can be obtained by overlaying seven layers. Such as Depth of water level, Net Recharge, Aquifer Media, Soil Permeability, Topography, Impact of Vadose Zone and Hydraulic conductivity.

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References

  • Aller L, Bennet T, Lehr JH, Petty RJ, Hackett G (1987) DRASTIC: A Standardized System for Evaluating Ground Water Pollution Potential Using Hydrogeologic Settings. US EPA Report 600/287/035, U.S. Environmental Protection Agency

    Google Scholar 

  • Al-Zabet T (2002) Evaluation of aquifer vulnerability of contamination potential using the DRASTIC method. Environ Geol 43:203–208

    Article  Google Scholar 

  • Babiker IS, Mohamed MA, Hiyama T, Kato K (2005) A GIS-based DRASTIC model for assessing aquifer vulnerability in Kakamigahara Heights, Gifu Prefecture, central Japan. Sci Total Environ 345(1):127–140

    Article  Google Scholar 

  • Burow KR, Nolan BT, Rupert MG, Dubrovsky NM (2010) Nitrate in groundwater of the United States, 1991–2003. Environ Sci Technol 44(13):4988–4997

    Article  Google Scholar 

  • Erxleben J, Elder K, Davis R (2002) Comparison of spatial interpolation methods for estimating snow distribution in the Colorado Rocky Mountains. Hydrol Process 16(18):3627–3649

    Article  Google Scholar 

  • Mehrjardi RT, Jahromi MZ, Mahmodis Heidari A (2008) Spatial distribution of groundwater quality with geostatistics (case study: Yazd-Ardakan plain). World Appl Sci J 4(1):9–17

    Google Scholar 

  • Oliver MA, Webster R (1990) Kriging: a method of interpolation for geographical information systems. Int J Geograph Inf Syst 4(3):313–332

    Google Scholar 

  • Ramakrishnaiah CR, Sadashivaiah C, Ranganna G (2009) Assessment of water quality index for the groundwater in Tumkur Taluk, Karnataka State, India. J Chem 6(2):523–530

    Google Scholar 

  • Jamrah A, Al-Futaisi A, Rajmohan N, Al-Yaroubi S (2007) Assessment of groundwater vulnerability in the coastal region of Oman using DRASTIC index method in GIS environment. Environ Monit Assess 147(1–3):125–138. https://doi.org/10.1007/s10661-007-0104-6

    Article  Google Scholar 

  • Javadi S, Kavehkar N, Mousavizadeh MH, Mohammadi K (2010) Modification of DRASTIC model to map groundwater vulnerability to pollution using nitrate measurements in agricultural areas. J Agric Sci Technol 13:239–249

    Google Scholar 

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Correspondence to B. Ramakrishna .

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Ramakrishna, B., Rajasekhar, P., Vaheed, S. (2020). Assessment of Aquifer Vulnerability of Nizamabad District, Telangana State, India Using GIS and Drastic Method. In: Satapathy, S., Raju, K., Molugaram, K., Krishnaiah, A., Tsihrintzis, G. (eds) International Conference on Emerging Trends in Engineering (ICETE). Learning and Analytics in Intelligent Systems, vol 2. Springer, Cham. https://doi.org/10.1007/978-3-030-24314-2_3

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  • DOI: https://doi.org/10.1007/978-3-030-24314-2_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-24313-5

  • Online ISBN: 978-3-030-24314-2

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