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Identification of Groundwater Potential Recharge and Recharge Zones of Tumakuru District Using GIS

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Abstract

Groundwater is essential for human activity in regions lacking surface water sources. As such one of the rain deficit regions in south central part of India is Tumakuru. The study area comprising the watershed regions of Tumakuru district was identified and a first-order water balance was performed for 1992–2020 and projections for 2050 based on the SSP 245 and SSP 585 climate change scenarios. The land cover has undergone significant changes in the impervious area, increasing over 10%, This increasing trend is seen beyond 2020, and these gains have largely impacted grasslands. With the advent of the proposed economic development projects, the region may project increased changes in its land cover type than the modeled data for the year 2050. With changes in land cover and precipitation patterns, the region will see increased runoff by 12%, thus resulting in a reduction in groundwater recharge, leading to widespread water availability issues beyond 2020 and into the future. The analysis was done from 1992 to 2020 in intervals of 4 years to understand the historical water availability trends and the year 2050 as projected in the CMIP6 climate change scenarios. Based on the results, there is a projection of a reduction in groundwater recharge and eventually exerting stress on the water resources in the study area. To alleviate these stresses, we have identified suitable recharge areas based on the runoff coefficients and recommend adopting artificial recharge efforts to increase the recharge and also potential ways to reduce the exploitation of groundwater resources.

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References

  1. P. Diaz, D. Yeh, Adaptation to climate change for water utilities, in Water reclamation and sustainability. (Elsevier, 2014), pp.19–56. https://doi.org/10.1016/B978-0-12-411645-0.00002-X

    Chapter  Google Scholar 

  2. “Water and Climate Change.” n.d. Climate Change—UN-Water. https://www.unwater.org/water-facts/climate-change/. Accessed 24 Nov 2021

  3. “Climate Change Impacts Government. Climate Change – NOAA (February 1, 2019). https://www.noaa.gov/education/resource-collections/climate/climate-change-impacts.

  4. Government of Karnataka. State Water Policy Karnataka (2022). https://aciwrm.karnataka.gov.in/storage/pdf-files/Report%20PDFs/StateWaterPolicy-English.pdf.

  5. C.R. Ramakrishnaiah, C. Sadashivaiah, G. Ranganna, Assessment of water quality index for the groundwater in Tumkur Taluk, Karnataka State, India. E-J. Chem. 6(2), 523–530 (2009). https://doi.org/10.1155/2009/757424

    Article  Google Scholar 

  6. TV. Ramachandra, S. Vinay, B. Settur, B.H. Aithal, n.d. “River Systems of Karnataka.” IISc, Bangalore. https://wgbis.ces.iisc.ac.in/biodiversity/sahyadri_enews/newsletter/Issue60/poster/IISc_TVR_Karnataka-Rivers.pdf

  7. Central Ground Water Board Ground Water Information Booklet—Tumkur District.” Bangalore: Central Ground Water Board (2012). https://cgwb.gov.in/District_Profile/karnataka/2012/Tumkur%20brouchure%202012.pdf

  8. MN. Kulkarni, Tumkur Sinks Deeper into a Water Crisis.” Deccan Herald (April 30, 2013). Tumkur sinks deeper into a water crisis Read more at: https://www.deccanherald.com/spectrum/tumkur-sinks-deeper-into-a-water-crisis-319742.html

  9. R. Srinivasan, S.A. Pandit, N. Karunakara, K. Deepak Salim, M. Sudeep Kumara, R. Kumar, G. Khatei, K.D. Ramkumar, High uranium concentration in groundwater used for drinking in parts of Eastern Karnataka, India. Curr. Sci. 121(11), 1459 (2021). https://doi.org/10.18520/cs/v121/i11/1459-1469

    Article  Google Scholar 

  10. S. Uhlenbrook, Preface—the science of hydrology, in Treatise on water science, 1. ed. by P. Wilderer (Elsevier, Oxford, 2011). https://doi.org/10.1016/B978-0-444-53199-5.00024-5

    Chapter  Google Scholar 

  11. B. Lehner, G. Grill, Global river hydrography and network routing: baseline data and new approaches to study the world’s large river systems. Hydrol. Process. 27(15), 2171–2186 (2013)

    Article  Google Scholar 

  12. “Climate Tumakuru.” n.d. Climate-Data.ORG. https://en.climate-data.org/asia/india/karnataka/tumakuru-47643/. Accessed 15 Nov 2021

  13. J.C.I. Dooge, Hydrologic models and climate change. J. Geophys. Res. 97(D3), 2677 (1992). https://doi.org/10.1029/91JD02156

    Article  Google Scholar 

  14. J.T. Abatzoglou, S.Z. Dobrowski, S.A. Parks, K.C. Hegewisch, TerraClimate, a high-resolution global dataset of monthly climate and climatic water balance from 1958–2015. Sci.Data 5(1), 170191 (2018). https://doi.org/10.1038/sdata.2017.191

    Article  Google Scholar 

  15. S.E. Fick, R.J. Hijmans, WorldClim 2: new 1-km spatial resolution climate surfaces for global land areas. Int. J. Climatol. 37(12), 4302–4315 (2017)

    Article  Google Scholar 

  16. M. Rajeevan, J. Bhate, A. Jaswal, Analysis of variability and trends of extreme rainfall events over India using 104 years of gridded daily rainfall data. Geophys. Res. Lett. (2008). https://doi.org/10.1029/2008GL035143

    Article  Google Scholar 

  17. I.P.D.J. Harris, P.D. Jones, T.J. Osborn, D.H. Lister, Updated high-resolution grids of monthly climatic observations–the CRU TS3. 10 dataset. Int. J. Climatol. 34(3), 623–642 (2014)

    Article  Google Scholar 

  18. S. Kobayashi, Y. Ota, Y. Harada, A. Ebita, M. Moriya, H. Onoda, K. Onogi, H. Kamahori, C. Kobayashi, H. Endo, The JRA-55 reanalysis: general specifications and basic characteristics. J. Meteorol. Soc. Japan. Ser. II 93(1), 5–48 (2015)

    Article  Google Scholar 

  19. H. Tatebe, T. Ogura, T. Nitta, Y. Komuro, K. Ogochi, T. Takemura, K. Sudo, M. Sekiguchi, M. Abe, F. Saito, Description and basic evaluation of simulated mean state, internal variability, and climate sensitivity in MIROC6. Geosci. Model Dev. 12(7), 2727–2765 (2019)

    Article  Google Scholar 

  20. R.G. Allen, L.S. Pereira, D. Raes, M. Smith, Crop evapotranspiration-guidelines for computing crop water requirements-FAO irrigation and drainage paper 56. Fao, Rome 300(9), D05109 (1998)

    Google Scholar 

  21. BhaskarJ. Choudhury, Evaluation of an empirical equation for annual evaporation using field observations and results from a biophysical model. J. Hydrol. 216(1–2), 99–110 (1999)

    Article  Google Scholar 

  22. H. Kim, C. Kim, C. Jang, A simple approach for estimating annual evapotranspiration with climate data in Korea. Water Eng. Res. 5(4), 185–193 (2004)

    Google Scholar 

  23. M. Askari, M.A. Mustafa, B.I. Setiawan, M.A.M. Soom, S. Harun, M.R.Z. Abidin, Z. Yusop, A Combined sensitivity analysis of seven potential evapotranspiration models. Jurnal Teknologi 76(15), 61 (2015)

    Article  Google Scholar 

  24. E.M. Douglas, J.M. Jacobs, D.M. Sumner, R.L. Ray, A Comparison of models for estimating potential evapotranspiration for Florida land cover types. J. Hydrol. 373(3–4), 366–376 (2009)

    Article  Google Scholar 

  25. DM. Gray, Handbook on the principles of hydrology (1970)

  26. J.G. Pike, Evaporation of ground-water from coastal playas (Sabkhah) in the Arabian Gulf. J. Hydrol. 11, 79–88 (1970)

    Article  Google Scholar 

  27. R. Ragab, J.D. Cooper, Variability of unsaturated zone water transport parameters: implications for hydrological modelling. 1. In situ measurements. J. Hydrol. 148(1–4), 109–131 (1993). https://doi.org/10.1016/0022-1694(93)90255-8

    Article  Google Scholar 

  28. “Land Cover Classification Gridded Maps from 1992 to Present Derived from Satellite Observations.” n.d. Climate Data Store. Climate Data Store - Copernicus. https://cds.climate.copernicus.eu/cdsapp#!/dataset/satellite-land-cover?tab=form. Accessed 2 Dec 2020

  29. Clark Labs, and ESRI. ESRI Land Cover 2050. ESRI Land Cover 2050 (2020). https://livingatlas.arcgis.com/landcover-2050/

  30. U. Ilstedt, A. Bargués Tobella, H.R. Bazié, J. Bayala, E. Verbeeten, G. Nyberg, J. Sanou et al., Intermediate tree cover can maximize groundwater Recharge in the seasonally dry tropics. Sci. Rep. 6(February), 21930 (2016). https://doi.org/10.1038/srep21930

    Article  Google Scholar 

  31. “SoilGrids250m.” n.d. Soil Grids. https://soilgrids.org/. Accessed 10 Oct 2019

  32. L. Poggio, L.M. de Sousa, N.H. Batjes, G.B.M. Heuvelink, B. Kempen, E. Ribeiro, D. Rossiter, SoilGrids 2.0: producing soil information for the globe with quantified spatial uncertainty. Soil 7(1), 217–240 (2021). https://doi.org/10.5194/soil-7-217-2021

    Article  Google Scholar 

  33. NASA Shuttle Radar Topography Mission. Shuttle radar topography mission (SRTM) global. 20 (2013). https://doi.org/10.5069/G9445JDF

  34. A. Bahremand, F. De Smedt, J. Corluy, Y.B. Liu, J. Poórová, L. Velcická, E. Kunikova, Application of Wetspa model for assessing land use impacts on floods in the Margecany-Hornad Watershed, Slovakia. Water Sci. Technol. 53(10), 37–45 (2006). https://doi.org/10.2166/wst.2006.295

    Article  Google Scholar 

  35. BN. Chandrappa, R. Dhruvanaryana, S.P. Muddahunmegowda, Regarding Development of Tumkur in Karnataka as an Industrial Smart City under Bangalore-Mumbai Economic Corridor Project.” Lok Sabha Debate. New Delhi: Parliament of India, Lok Sabha Digital Library (2016). https://eparlib.nic.in/handle/123456789/752530

  36. Reporter Bureau, “Mumbai-Bangalore Corridor May Be Tumkur’s Midas Touch.” The Hindu Business Line, (June 2013). https://www.thehindubusinessline.com/news/real-estate/Mumbai-Bangalore-corridor-may-be-Tumkur%E2%80%99s-Midas-touch/article20623804.ece

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Authors and Affiliations

  1. Department of Chemical Engineering, Siddaganga Institute of Technology, Tumakur, 572103, India

    Suma Gubbi Ratna & Divyashree Koppa Suresh

  2. Clark University, Worcester, MA, 01610, USA

    Ravi Hanumantha

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  1. Suma Gubbi Ratna
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Gubbi Ratna, S., Koppa Suresh, D. & Hanumantha, R. Identification of Groundwater Potential Recharge and Recharge Zones of Tumakuru District Using GIS. J. Inst. Eng. India Ser. A 104, 877–893 (2023). https://doi.org/10.1007/s40030-023-00762-5

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