Skip to main content

Advertisement

Log in

Evaluation of groundwater prolific zones in the unconfined basaltic aquifers of Western India using geospatial modeling and MIF technique

  • Original Article
  • Published:
Modeling Earth Systems and Environment Aims and scope Submit manuscript

Abstract

A study on sub-watershed scale covering an area of 593 sq km representing basaltic terrain was performed with the aim of finding the areas with groundwater potential using geospatial modeling and multi-influential (MIF) method. Various thematic layers of influential parameters were generated with GIS-based modeling approach. ASTER-GDEM image having 30-m pixel resolution was acquired to construct the digital elevation model (DEM); further, the drainage network and slopes were generated using DEM. The published district resource map of geology was referred to prepare the geology and geomorphology layers. Totally, 57 dug wells were inventoried and groundwater level fluctuation map was created using pre- and post-monsoon water levels. The ranks were allotted to specific factor of each influential layer, and weights were given to subclass, based on the degree of influence using MIF. Superimposition of all the thematic layers in ArcGIS was carried out to obtain the potential zonation map. Further, it has been observed that the excellent to very good category covers 29.11%, very good to good 20.96%, good to moderate 22.31%, moderate to moderately poor 23.07% and moderately poor to poor 4.55% of the total area. The resultant zonation map was validated with groundwater level fluctuation values, and it clearly showed that the high-yielding dug wells were located in the high potential zones. Thus, the evaluation of groundwater prolific zones would play a key role in sustainable development and judicial planning of this resource in the study area.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Source: TRMM)

Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15

Similar content being viewed by others

References

  • Adimalla N, Li P, Venkatayogi S (2018) Hydrogeochemical evaluation of groundwater quality for drinking and irrigation purposes and integrated interpretation with water quality index studies. Environmental Processes 5 (2):363–383

    Article  Google Scholar 

  • Alizadeh MR, Nikoo MR, Rakhshandehroo GR (2017) Hydro-environmental management of groundwater resources: A fuzzy-based multi-objective compromise approach. J Hydrol 551:540–554. https://doi.org/10.1016/j.jhydrol.2017.06.011

    Article  Google Scholar 

  • Dar IA, Sankar K, Dar MA (2010) Deciphering groundwater potential zones in hard rock terrain using geospatial technology. Environ Monit Assess 173:597–610

    Article  Google Scholar 

  • Das S (2017) Delineation of groundwater potential zone in hard rock terrain in Gangajalghati block, Bankura district, India using remote sensing and GIS techniques. Modeling Earth Systems and Environment 3 (4):1589–1599

    Article  Google Scholar 

  • Das S, Gupta A, Ghosh S (2017) Exploring groundwater potential zones using MIF technique in semi-arid region: a case study of Hingoli district. Maharashtra. Spatial Information Research 25 (6):749–756

    Article  Google Scholar 

  • Deshmukh KK (2011) Assessment of groundwater quality in Sangamner area for sustainable agricultural water use planning. Int J Chem Sci 9 (3):1486–1500

    Google Scholar 

  • Etikala B, Golla V, Li P, Renati S (2019) Deciphering groundwater potential zones using MIF technique and GIS: a study from Tirupati area, Chittoor District, Andhra Pradesh, India. HydroResearch 1:1–7

    Article  Google Scholar 

  • Fagbohun BJ (2018) Integrating GIS and multi-influencing factor technique for delineation of potential groundwater recharge zones in parts of Ilesha schist belt, southwestern Nigeria. Environ Earth Sci 77 (3):69

    Article  Google Scholar 

  • Gaikwad H, Shaikh H, Umrikar B (2018) Evaluation of Groundwater Quality for Domestic and Irrigation Suitability from Upper Bhima Basin. A Hydro-geochemical Perspective, Western India

    Google Scholar 

  • Gashaw T, Tulu T, Argaw M, Worqlul AW (2018) Modeling the hydrological impacts of land use/land cover changes in the Andassa watershed, Blue Nile Basin. Ethiopia. Sci. Total Environ 619–620:1394–1408. https://doi.org/10.1016/j.scitotenv.2017.11.191

    Article  Google Scholar 

  • Horton RE (1945) Erosional development of streams and their drainage basins; hydrophysical approach to quantitative morphology. Geol Soc Am Bull 56 (3):275–370

    Article  Google Scholar 

  • Jankowski P (1995) Integrating geographic information systems and multiple criteria decision making methods. Int J Geogr Inf Syst 9 (3):251–273

    Article  Google Scholar 

  • Kadam, A. K., and Sankhua, R. N. (2012) Ground Water Prospect Mapping of Upper Karha Watershed using GIS with spatial reference to ArcCN-Runoff. National Water Academy, Pune., India Water Week–Water, Energy and Food Security: Call for Solutions, 10-14

  • Kadam AK, Kale SS, Pande NN, Pawar NJ, Sankhua RN (2012) Identifying potential rainwater harvesting sites of a semi-arid, basaltic region of Western India, using SCS-CN method. Water Resour Manag 26:2537–2554. https://doi.org/10.1007/s11269-012-0031-3

    Article  Google Scholar 

  • Kadam A, Kale S, Umrikar B, Sankhua R, Pawar N (2017) Identifying possible locations construct soil-water conservation structures by using hydro-geological and geospatial analysis. Hydrospatial Anal: 18–27. https://doi.org/10.21523/gcj3.17010103

  • Kadam AK, Wagh VM, Muley AA, Umrikar BN, Sankhua RN (2019) Prediction of water quality index using artificial neural network and multiple linear regression modelling approach in Shivganga River basin. India. Modeling Earth Systems and Environment 5 (3):951–962

    Article  Google Scholar 

  • Kalpana L, Elango L (2013) Assessment of groundwater quality for drinking and irrigation purposes in Pambar river sub-basin. Tamil Nadu. Environmental protection 33 (1):1–8

    Google Scholar 

  • Krishna Kumar S, Chandrasekar N, Seralathan P, Godson Prince S, Magesh NS (2011) Hydrogeochemical study of shallow carbonate aquifers. Environmental Monitoring and Assessment, Rameswaram Island. https://doi.org/10.1007/s10661-011-2249-6

    Book  Google Scholar 

  • Krishnamurthy J, Kumar NV, Jayaraman V, Manivel M (1996) An approach to demarcate groundwater potential zones through remote sensing and a geographic information system. Int J Remote Sens 17 (10):1867–1884

    Article  Google Scholar 

  • Magesh NS, Chandrasekar N, Soundranayagam JP (2011a) Morphometric evaluation of Papanasam and Manimuthar watersheds, parts of Western Ghats, Tirunelveli district, Tamil Nadu India: a GIS approach. Environmental Earth Science 64:373–381

    Article  Google Scholar 

  • Magesh NS, Chandrasekar N, Vetha Roy D (2011b) Spatial analysis of trace element contamination in sediments of Tamiraparani estuary, southeast coast of India. Estuar Coast Shelf Sci 92:618–628

    Article  Google Scholar 

  • Magesh NS, Chandrasekar N, Soundranayagam JP (2012a) Delineation of groundwater potential zones in Theni district, Tamil Nadu, using remote sensing. GIS and MIF techniques. Geoscience frontiers 3 (2):189–196

    Article  Google Scholar 

  • Magesh NS, Jitheshlal KV, Chandrasekar N, Jini KV (2012b) GIS based morphometric evaluation of Chimmini and Mupily watersheds, parts of Western Ghats, Thrissur District, Kerala. India. Earth Sci Inform 5 (2):111–121

    Article  Google Scholar 

  • Maggirwar BC, Umrikar BN (2011) Influence of various factors on the fluctuation of groundwater level in hard rock terrain and its importance in the assessment of groundwater. Int. Jour. Geol. Mining Research 3 (11):305–317

    Google Scholar 

  • Maharashtra Groundwater (Development and Management) Act (2009). Technical Report. 24p.https://mwrra.org/wp-content/uploads/2018/09/6-Maharashtra-Groundwater-Development-Management-Act-2009.pdf

  • Maliva RG, Clayton EA, Missimer TM (2009) Application of advanced borehole geophysical logging to managed aquifer recharge investigations. Hydrogeol J 17 (6):1547–1556

    Article  Google Scholar 

  • Mekuriaw A, Heinimann A, Zeleke G, Hurni H, Hurni K (2017) An automated method for mapping physical soil and water conservation structures on cultivated land using GIS and remote sensing techniques. Jour Geogr Sci 27:79–94. https://doi.org/10.1007/s11442-017-1365-9

    Article  Google Scholar 

  • Mundalik, V., Fernandes, C., Kadam, A.K., Umrikar, B.N., (2018) Integrated geomorphological, geospatial and AHP technique for groundwater prospects mapping in basaltic terrain. Article history 2: 16. https://doi.org/10.21523/gcj3.18020102

  • Murthy KSR (2000) Groundwater potential in a semi-arid region of Andhra Pradeshda geographical information system approach. Int J Remote Sens 21:1867–1884

    Article  Google Scholar 

  • Nagarajan M, Singh Sujit (2009) Assessment of Groundwater Potential Zones using GIS Technique. Jour. Indian Soc. Remote Sens. 37:69–77

    Article  Google Scholar 

  • Nasir MJ, Khan S, Zahid H, Khan A (2018) Delineation of groundwater potential zones using GIS and multi influence factor (MIF) techniques: a study of district Swat, Khyber Pakhtunkhwa. Pakistan. Environmental Earth Sciences 77 (10):367

    Article  Google Scholar 

  • Rajasekhar M, Gadhiraju SR, Kadam A, Bhagat V (2020) Identification of groundwater recharge-based potential rainwater harvesting sites for sustainable development of a semiarid region of southern India using geospatial, AHP, and SCS-CN approach. Arab J Geosci 13 (2):24

    Article  Google Scholar 

  • Saranya, T., & Saravanan, S. (2020). Groundwater potential zone mapping using analytical hierarchy process (AHP) and GIS for Kancheepuram District, Tamilnadu, India. Modeling Earth Systems and Environment, 1-18

  • Sener E, Davraz A, Ozcelik M (2005) An integration of GIS and remote sensing in groundwater investigations: a case study in Burdur, Turkey. Hydrogeol J 13:826–834

    Article  Google Scholar 

  • Shahid, S., Nath S. K., and Roy, J. (2000) Groundwater potential modeling in a soft rock area using a GIS. Int J Remote Sens, s21 (9), 1919-1924. https://doi.org/10.1080/014311600209823

  • Shailaja G, Kadam Ajaykumar, Gautam Gupta, Umrikar Bhavana, Pawar NJ (2018) Integrated geophysical, geospatial and multiple-criteria decision analysis techniques for delineation of groundwater potential zones in a semi-arid hard-rock aquifer in Maharashtra. Hydrogeology Journal, India. https://doi.org/10.1007/s10040-018-1883-2

    Book  Google Scholar 

  • Solomon S, Quiel F (2006) Groundwater study using remote sensing and geographic information system (GIS) in the central highlands of Eritrea. Hydrogeol J 14 (5):729–741. https://doi.org/10.1007/s10040-005-0477-y

    Article  Google Scholar 

  • Strahler AN (1952) Hypsometric (area-altitude) analysis of erosional topography. Geol Soc Am Bull 63 (11):1117–1142

    Article  Google Scholar 

  • Sabale. A. B. and Thorat. P. K. (1991) Geology of parts of Pune and Ahmednagar districts, Maharashtra. Unpublished Progress Report for FS 1989-90

  • Thapa Raju, Gupta Srimanta, Guin Shirshendu, Kaur Harjeet (2017) Assessment of groundwater potential zones using multi-influencing factor (MIF) and GIS: a case study from Birbhum district. West Bengal. Applied Water Science 7 (7):4117–4131

    Article  Google Scholar 

  • Wagh, V., Mukate, S., Muley, A., Kadam, A., Panaskar, D., & Varade, A. (2020). Study of groundwater contamination and drinking suitability in basaltic terrain of Maharashtra, India through PIG and multivariate statistical techniques. Journal of Water Supply: Research and Technology-Aqua

Download references

Acknowledgements

Authors would like to acknowledge the Department of Geology, Savitribai Phule Pune University for the facilities used.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ajaykumar Kadam.

Ethics declarations

Conflict of interest

The authors declare no conflict of interest.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Datta, A., Gaikwad, H., Kadam, A. et al. Evaluation of groundwater prolific zones in the unconfined basaltic aquifers of Western India using geospatial modeling and MIF technique. Model. Earth Syst. Environ. 6, 1807–1821 (2020). https://doi.org/10.1007/s40808-020-00791-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40808-020-00791-0

Keywords

Navigation