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Study on the functionality of land use land cover over the evaluation of groundwater potential zone: A fuzzy AHP based approach

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Abstract

Identification of groundwater potential zone has become a prime concern for the develo** countries, where the dependency of groundwater is more, because of the increasing demand for water for irrigational uses. Furthermore, the rapid population growth is hindering the aquifer recharge process by altering the land use land cover (LULC) of any region. The present work aims to assess how the modification of land use land cover can affect the groundwater recharge potential zones over a river basin area in West Bengal, India. Enumerating 13 influential parameters and employing the fuzzy analytical hierarchical process (FAHP), delineation of groundwater potential zones have been done for 2000 and 2018. The outputs produced by such a predictive decision-making model have been validated by water level data acquired from the Central Ground Water Board (CGWB) and field survey for respective years. The effect of LULC over groundwater potentiality has been investigated through a change analysis of land use land cover and recharge potential areas from the year 2000 to 2018. This study witnessed an augmented groundwater resource scenario due to maximum positive changes in land utilization patterns by the community, which ensures the effectiveness of anthropogenic control on any kind of resource management system.

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References

  • Adiat K A N, Nawawi M N M and Abdullah K 2012 Assessing the accuracy of GIS-based elementary multi-criteria decision analysis as a spatial prediction tool – a case of predicting potential zones of sustainable groundwater resources; J. Hydrol. 440–441 75–89.

  • Agarwal E, Agarwal R, Garg R D and Garg P K 2013 Delineation of groundwater potential zone: An AHP/ANP approach; J. Earth Syst. Sci. 122(3) 887–898, https://doi.org/10.1007/s12040-013-0309-8.

  • Annual flood report 2016 Irrigation and waterways directorate; Government of West Bengal, https://wbiwd.gov.in/index.php/applications/anual_floor_report.

  • Arnold J G, Srinivasan R, Muttiah R S and Williams J R 1998 Large-area hydrologic modeling and assessment: Part I. Model development; J. Am. Water Res. Assoc. 34 73–89.

  • Ayhan M B 2013 A fuzzy AHP approach for supplier selection problem: A case study in a gear motor company; Int. J. Manag. Value Supply Chain. 4 11–23, https://doi.org/10.5121/ijmvsc.2013.4302.

  • Beven K J and Kirkby M J 1979 A physically based, variable contributing area model of basin hydrology; Hydrol. Sci. Bull. 24 43–69.

  • Bonansea M 2016 Assessing the impact of land use and land cover on water quality in the watershed of a reservoir; Appl. Ecol. Environ. Res. 14 447–456.

  • Buckley J J 1985 Fuzzy hierarchical analysis; Fuzzy Sets Syst. 17 233–247.

  • Central Ground Water Board 2018 Ministry of water resources, river development and ganga rejuvenation, Government of India (2017–2018); Ground Water Year Book-India 2017–2018, CGWB Report 2016, http://cgwb.gov.in.

  • Chakraborty A 2015 Study on growth of major agricultural crops in Birbhum district; J. Agric. Vet. Sci. 2(1) 63–66.

  • Chang D Y 1996 Applications of the extent analysis method on fuzzy AHP; Eur. J. Oper. Res. 95 649–655.

  • Chenini I, Mammou A B and El May M Y 2010 Groundwater recharge zone map** using GIS-based multi-criteria analysis: A case study in Central Tunisia (Maknassy Basin); Water Resour. Manag. 24 921–939.

  • Chowdhury A, Jha M K and Chowdary V M 2010 Delineation of groundwater recharge zones and identification of artificial recharge sites in West Medinipur district, West Bengal, using RS, GIS and MCDM techniques; Environ. Earth Sci. 59 1209.

  • Cohen J 1960 A coefficient of agreement for nominal scales; Educ. Psychol. Meas. 20, https://doi.org/10.1177/001316446002000104.

  • Da Costa A M, de Salis H H C, Viana J H M and Pacheco F A L 2019 Groundwater recharge potential for sustainable water use in urban areas of the Jequitiba River Basin, Brazil; Sustainability 11 2955.

  • Dar T, Rai N and Bhat Aadil 2020 Delineation of potential groundwater recharge zones using analytical hierarchy process (AHP); Geology, Ecology, and Landscapes, https://doi.org/10.1080/24749508.2020.1726562.

  • De Waroux Y L P and Lambin E F 2012 Monitoring degradation in arid and semi-arid forests and woodlands: The case of the argan woodlands (Morocco); Appl. Geogr. 32 777–786.

  • Elmahdy S I and Mohamed M M 2017 Monitoring and analysing the Emirate of Dubai’s land use/land cover changes: An integrated, low-cost remote sensing approach; Int. J. Digit. Earth. 11 1132–1150.

  • Gee G W, Campbell M D and Campbell G S et al. 1992 Rapid measurement of low soil water potentials using a water activity meter; Soil Sci. Soc. Am. J. 56 1068–1070.

  • Gurnell A M, Corenblit D, García de Jalón D, González del Tánago M, Grabowski R C, O’Hare M T and Szewczyk M 2016 A Conceptual Model of Vegetation–hydrogeomorphology Interactions Within River Corridors; River Res. Appl. 32 142–163.

  • Halder S, Biswas Roy M and Roy P 2020 Fuzzy logic algorithm based analytic hierarchy process for delineation of groundwater potential zones in complex topography; Arab. J. Geosci., https://doi.org/10.1007/s12517-020-05525-1.

  • Hossein M T 2004 Hydrochemical evaluation of groundwater in the Blue Nile Basin, eastern Sudan, using conventional and multivariate techniques; Hydrogeol. J. 12(2) 144–158.

  • Huber W, Dickenson R, Roesner L and Aldrich J 1988 Storm water management model user’s manual, version 4, US Environmental Protection Agency; Athens.

  • IPCC Climate Change 2013 The physical science basis; Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (eds) Stocker T F, Qqin D, Plattner G-K, Tignor M, Allen S K, Boschung J, Nauels A, ** using a novel data-mining ensemble model; Hydrogeol. J. 27, https://doi.org/10.1007/s10040-018-1848-5.

  • Kumar A and Krishna A P 2016 Assessment of groundwater potential zones in coal mining impacted hard-rock terrain of India by integrating geospatial and analytic hierarchy process (AHP) approach; Geocarto Int., https://doi.org/10.1080/10106049.2016.1232314.

  • Latifovic R, Pouliot D and Nastev M 2010 Earth observation based land cover for regional aquifer characterization; Can. Water Resour. J. 35 433–450.

  • Li C, Wang J, Wang L, Hu L and Gong P 2014 Comparison of classification algorithms and training sample sizes in urban land classification with Landsat Thematic Mapper Imagery; Remote Sens. 6 964–983.

  • Magesh N, Chandrasekar N and Prince John 2012 Delineation of groundwater potential zones in Theni district, Tamil Nadu, using remote sensing, GIS and MIF techniques; Geosci. Front. 3 189–196.

  • Mallikarjun A and Vallakeerthi J 2018 Investigation of groundwater potential zones using RS & GIS in western part of Krishnagiri District; Project: Deciphering groundwater zones.

  • Mishra N, Khare D, Gupta K and Shukla R 2014 Impact of land use change on groundwater – A review; Adv. Water Resour. Protect. 2 28–41.

  • Moghaddam D D, Rezaei M, Pourghasemi H R, Pourtaghie Z S and Pradhan B 2015 Groundwater spring potential map** using bivariate statistical model and GIS in the Taleghan Watershed, Iran; Arab. J. Geosci. 8 913–929.

  • Nag S, Roy M B and Roy P K 2020 Optimum prioritisation of sub-watersheds based on erosion-susceptible zones through modeling and GIS techniques; Model. Earth Syst. Environ. 6 1529–1544, https://doi.org/10.1007/s40808-020-00768-z.

  • Owuor S O, Butterbach-Bahl K, Guzha A C, Rufino M C, Pelster D E, Díaz-Pinés E and Breuer L 2016 Groundwater recharge rates and surface runoff response to land use and land cover changes in semi-arid environments; Ecol. Process. 5(16), https://doi.org/10.1186/s13717-016-0060-6.

  • Pal R 2015 Channel avulsion archives and morphological readjustment near the Bhagirathi–Mayurakshi Confluence in the Lower Gangatic Plain, West Bengal, India; J. Environ. Earth Sci. 5(3) 67–75.

  • Pal S, Let S and Das P 2012 Assessment of channel width disparity of the major rivers within Mayurakshi River Basin; Int. J. Geol. Earth Environ. Sci. 2(3) 1–10.

  • Patra S, Mishra P and Mahapatra S C 2018 Delineation of groundwater potential zone for sustainable development: A case study from Ganga Alluvial Plain covering Hooghly District of India using remote sensing, geographic information system and analytic hierarchy process; J. Clean. Prod., https://doi.org/10.1016/j.jclepro.2017.11.161.

  • Pourtaghi Z S and Pourghasemi H R 2014 GIS-based groundwater spring potential assessment and map** in the Birjand Township, Southern Khorasan Province; Hydrogeol. J. 22 643–662.

  • Pradhan R P, Singh R P and Buchroithner M F 2006 Estimation of stress and its use in evaluation of landslide prone regions using remote sensing data; Adv. Space Res. 37(4) 698–709.

  • Preeja K R, Joseph S, Thomas J and Vijith H 2011 Identification of groundwater potential zones of a tropical river basin (Kerala, India) using remote sensing and GIS techniques; J. Indian Soc. Remote Sens. 39 83–94.

  • Price K, Jackson C R and Parker A J 2010 Variation of surficial soil hydraulic properties across land uses in the southern Blue Ridge Mountains, North Carolina, USA; J. Hydrol. 383 256–268.

  • Qadir J and Singh P 2019 Land use/cover map** and assessing the impact of solid waste on water quality of Dal Lake catchment using remote sensing and GIS (Srinagar, India); S N Appl. Sci. 1(1) 25, https://doi.org/10.1007/s42452-018-0027-6.

  • Rahmati O, Nazari Samani A N, Mahdavi M, Pourghasemi H R and Zeinivand H 2015 Groundwater potential map** at Kurdistan region of Iran using analytic hierarchy process and GIS; Arab. J. Geosci. 8 7059–7071.

  • Rao N, Chakradhar G and Srinivas V 2001 Identification of groundwater potential zones using remote sensing techniques in and around Guntur Town, Andhra Pradesh, India; J. Indian Soc. Remote Sens. 29 69–78, https://doi.org/10.1007/BF02989916.

  • Razandi Y, Pourghasemi H R, Neisani N S and Rahmati O 2015 Application of analytical hierarchy process, frequency ratio, and certainty factor models for groundwater potential map** using GIS; Earth Sci. Inform. 8 867–883.

  • Scanlon B, Reedy R, Stonestrom D, Prudic D and Dennehy K 2005 Impact of land use and land cover change on groundwater recharge and quality in the southwestern US; Global Change Biol. 11 1577–1593, https://doi.org/10.1111/j.1365-2486.2005.01026.x.

  • Schillaci C A B and J Kropacek 2015 Chapter 2.4.2: Terrain analysis and landform recognition; In: Geomorphological techniques, British Society for Geomorphology, 18p.

  • Sener E, Sener S and Davraz A 2018 Groundwater potential map** by combining fuzzy-analytic hierarchy process and GIS in Beyşehir Lake Basin, Turkey; Arab. J. Geosci. 11 187, https://doi.org/10.1007/s12517-018-3510-x.

  • Shen Z, Lu C, Yin R and Qi J 2013 Land cover changes in northeast China from the late 1970s to 2004; Appl. Ecol. Environ. Res. 11 67–78.

  • Singh C K, Shashtri S, Singh A and Mukherjee S 2011 Quantitative modeling of groundwater in Satluj River basin of Rupnagar district of Punjab using remote sensing and geographic information system; Environ. Earth Sci. 62(4) 871–881, https://doi.org/10.1007/s12665-010-0574-7.

  • Subramanya K 1984 Engineering Hydrology; Tata McGraw-Hill Publishing Company, New Delhi, pp. 48–82.

  • Sun Z, Guo H, Li X, Huang Q and Zhang D 2011 Effect of LULC change on surface runoff in urbanization area; In: Proceedings of the ASPRS 2011 Annual Conference, Milwaukee, Wisconsin, pp. 1–5.

  • Tiwari A, Lavy M, Amanzio G, Maio M, Singh P and Mahato M 2017 Identification of artificial groundwater recharging zone using a GIS-based fuzzy logic approach: A case study in a coal mine area of the Damodar Valley, India; Appl. Water Sci., https://doi.org/10.1007/s13201-017-0603-8.

  • Van Laarhoven P J M and Pedrycz W 1983 A fuzzy extension of Saaty’s priority theory; Fuzzy Sets Syst. 11 229–241.

  • Wang R, Kalin L, Kuang W and Tian H 2014 Individual and combined effects of land use/cover and climate change on Wolf Bay watershed streamflow in southern Alabama; Hydrol. Process. 28 5530–5546.

  • Yin J, He F, **ong Y J and Qiu G Y 2017 Effects of land use/land cover and climate changes on surface runoff in a semi-humid and semiarid transition zone in northwest China; Hydrol. Earth Syst. Sci. 21(1) 183.

  • Zhang J and Ross M 2015 Hydrologic modeling impacts of post-mining land use changes on stream flow of Peace River, Florida; Chin. Geograph. Sci. 25(6) 728–738.

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Acknowledgements

The authors would also like to express their sincere thanks to the Survey of India, Government of India, Geological Survey of India, National Bureau of Soil Survey and Land Use Planning, Central Ground Water Board for providing the necessary information to fulfill the objectives of the work. The authors are also grateful to the research scholars and the laboratory of the School of Water Resources Engineering, Jadavpur University for providing the necessary facilities for carrying out the present study.

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Authors and Affiliations

  1. School of Water Resources Engineering, Jadavpur University, Kolkata, West Bengal, India

    Swetasree Nag & Pankaj Kumar Roy

  2. Department of Geography, Women’s College, Calcutta, Kolkata, West Bengal, India

    Malabika Biswas Roy

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  1. Swetasree Nag
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Contributions

Swetasree Nag has done the data collection, analysis, interpretation, and manuscript preparation. Malabika Biswas Roy has conceptualized and supervised the study, and Pankaj Kumar Roy has reviewed and finalized the manuscript.

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Correspondence to Malabika Biswas Roy.

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Communicated by Abhijit Mukherjee

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Nag, S., Roy, M.B. & Roy, P.K. Study on the functionality of land use land cover over the evaluation of groundwater potential zone: A fuzzy AHP based approach. J Earth Syst Sci 131, 146 (2022). https://doi.org/10.1007/s12040-022-01872-7

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