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Proposing civil structures for managed aquifer recharge in relevant sites of Shilabati River: an integrated spatial analysis

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Abstract

In the semi-arid regions of India, where intensive use and climatic irritancies induced water table depletions have become a serious concern, the artificial recharging of groundwater through managed aquifer recharge can be an effective solution in confronting the deterioration of human well-being. However, in planning the managed aquifer recharge (MAR) system, the suitable recharge structures should always be located specifically in relevant locations (needed and feasible); otherwise, the investments will not have meaning. The present study is one of such attempts to address the ever-increasing groundwater depletion of the semi-arid Shilabati River basin in eastern India by successfully positioning site-specific MAR structures in the river channel. Here, the decisions on positioning convenient structures were taken based on multi-factor analysis aided with optimistic weights and central groundwater board (CGWB) guidelines on MAR in a GIS-integrated Fuzzy-AHP environment. The findings reveal that the mature (middle) stage of the river flow is the most relevant location in terms of the need and feasibility for designing MAR structures. Further, considering the CGWB prerequisites for structure-wise recharge, the study proposed 15 site-specific and convenient civil structures, viz. percolation tanks, check dam/gabion structures and nala bunds for a healthy and sustainable recharge over the relevant locations. These scholarly outcomes will surely help the policymakers as an informative base while planning MAR programme.

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References

  • Ahmed JB, Pradhan B, Mansor S et al (2019) Aquifer potential assessment in termites manifested locales using geo-electrical and surface hydraulic measurement parameters. Sensors. https://doi.org/10.3390/s19092107

    Article  Google Scholar 

  • Akbari M, Meshram SG, Krishna RS et al (2021) Identification of the groundwater potential recharge zones using MCDM models: full consistency method (FUCOM), Best Worst Method (BWM) and Analytic Hierarchy Process (AHP). Water Resour Manage 35:4727–4745. https://doi.org/10.1007/s11269-021-02924-1

    Article  Google Scholar 

  • Akinlalu AA, Adegbuyiro A, Adiat KAN et al (2017) Application of multi-criteria decision analysis in prediction of groundwater resources potential: A case of Oke-Ana, Ilesa Area Southwestern, Nigeria. NRIAG J Astron Geophys 6:184–200. https://doi.org/10.1016/j.nrjag.2017.03.001

    Article  Google Scholar 

  • Andualem TG, Demeke GG (2019) Groundwater potential assessment using GIS and remote sensing: A case study of Guna tana landscape, upper Blue Nile Basin Ethiopia. J Hydrol Region Stud 24:2. https://doi.org/10.1016/j.ejrh.2019.100610

    Article  Google Scholar 

  • Annual Flood Report (2019) https://wbiwd.gov.in/uploads/anual_flood_report/ANNUAL_FLOOD_REPORT_2019.pdf

  • Arshad A, Zhang Z, Zhang W, Dilawar A (2020) Mapping favorable groundwater potential recharge zones using a GIS-based analytical hierarchical process and probability frequency ratio model: a case study from an agro-urban region of Pakistan. Geosci Front 11:1805–1819. https://doi.org/10.1016/j.gsf.2019.12.013

    Article  Google Scholar 

  • Bera A, Das S (2021) Water resource management in semi-arid Purulia District of West Bengal, in the context of sustainable development goals. In: Groundwater and society. Springer International Publishing, pp 501–519

  • Buckley JJ (1985) Fuzzy hierarchical analysis, fuzzy sets and system

  • CGWB (2000) Guide on managed aquifer recharge to Ground Water. Govt. of India

  • CGWB (2006) Central Water Commission. Water (Basel) 1–5. Govt. of India

  • CGWB (2020) Master Plan for managed aquifer recharge to Groundwater in India. Govt. of India

  • Chen VYC, Lien HP, Liu CH et al (2011) Fuzzy MCDM approach for selecting the best environment-watershed plan. Appl Soft Comput J 11:265–275. https://doi.org/10.1016/j.asoc.2009.11.017

    Article  Google Scholar 

  • Chowdhury A, Jha MK, Chowdary VM (2010) Delineation of groundwater recharge zones and identification of managed aquifer recharge sites in West Medinipur district, West Bengal, using R.S., GIS and MCDM techniques. Environ Earth Sci 59:1209–1222. https://doi.org/10.1007/s12665-009-0110-9

    Article  Google Scholar 

  • Composite Water Management Index (2018) http://www.niti.gov.in/writereaddata/files/document_publication/2018-05-18-Water-Index-Report_vS8-compressed.pdf

  • Cooke ML, Simo JA, Underwood CA, Rijken P (2006) Mechanical stratigraphic controls on fracture patterns within carbonates and implications for groundwater flow. Sed Geol 184:225–239. https://doi.org/10.1016/j.sedgeo.2005.11.004

    Article  Google Scholar 

  • Dangar S, Asoka A, Mishra V (2021) Causes and implications of groundwater depletion in India: a review. J Hydrol 596:2

    Article  Google Scholar 

  • Dey KK (2020) A rainfall-runoff model using artificial neural networks for the district of Bankura in a time of climate change. Indian J Sci Technol 13:3364–3376. https://doi.org/10.17485/IJST/v13i33.816

    Article  Google Scholar 

  • Dhakate R, Rao VVSG, Raju BA et al (2013) Integrated approach for identifying suitable sites for rainwater harvesting structures for groundwater augmentation in Basaltic Terrain. Water Resour Manag 27:1279–1299. https://doi.org/10.1007/s11269-012-0238-3

    Article  Google Scholar 

  • Dillon P (2005) Future management of aquifer recharge. Hydrogeol J 13(1):313–316

    Article  Google Scholar 

  • Dillon P, Stuyfzand P, Grischek T et al (2019) Sixty years of global progress in managed aquifer recharge. Hydrogeol J 27:1–30. https://doi.org/10.1007/s10040-018-1841-z

    Article  Google Scholar 

  • Djenadic S, Tanasijevic M, Jovancic P et al (2022) Risk evaluation: brief review and innovation model based on fuzzy logic and MCDM. Mathematics. https://doi.org/10.3390/math10050811

    Article  Google Scholar 

  • Dolan F, Lamontagne J, Link R et al (2021) Evaluating the economic impact of water scarcity in a changing world. Nat Commun. https://doi.org/10.1038/s41467-021-22194-0

    Article  Google Scholar 

  • Fathi S, Hagen JS, Matanó A, Nogueira GEH (2021) Review of GIS multi-criteria decision analysis for managed aquifer recharge in semi-arid regions. In: Groundwater resources development and planning in the semi-arid region. Springer International Publishing, pp 19–52

  • Ganguly S, Ganguly S (2021) Implementation of managed aquifer recharge techniques in India. Rev Articles Curr Sci

  • GEC (2015) Ground water resource estimation committee report

  • Goodarzi L, Mohammad Akhoond-ali A, Zarei H (2016) Identifying potential sites for artificial groundwater recharge using GIS and MCDM techniques in Oshtorinan plain, Iran Estimation of environmental water requirements, Bakhtegan Lake, Iran View project

  • Goswami T, Ghosal S (2022a) Examining the groundwater level in a semi-arid district of eastern India: spatiotemporal trends, determinants, and future prospects. Environ Dev Sustain. https://doi.org/10.1007/s10668-022-02512-2

    Article  Google Scholar 

  • Goswami T, Ghosal S (2022b) Understanding the suitability of two MCDM techniques in mapping the groundwater potential zones of semi-arid Bankura District in eastern India. Groundw Sustain Dev 17:2. https://doi.org/10.1016/j.gsd.2022.100727

    Article  Google Scholar 

  • Gumus AT (2009) Evaluation of hazardous waste transportation firms by using a twostep fuzzy-AHP and TOPSIS methodology. Expert Syst Appl 36:4067–4074. https://doi.org/10.1016/j.eswa.2008.03.013

    Article  Google Scholar 

  • Gupta M, Srivastava PK (2010) Integrating GIS and remote sensing for identification of groundwater potential zones in the hilly terrain of Pavagarh, Gujarat, India. Water Int 35:233–245. https://doi.org/10.1080/02508061003664419

    Article  Google Scholar 

  • Halder S, Roy MB, Roy PK (2020) Analysis of groundwater level trend and groundwater drought using Standard Groundwater Level Index: a case study of an eastern river basin of West Bengal, India. SN Appl Sci 2:2. https://doi.org/10.1007/s42452-020-2302-6

    Article  Google Scholar 

  • Hanson G, Nilsson A (1986) Groundwater dams for rural-water supplies in developing countries. Ground Water 24:2

    Article  Google Scholar 

  • Horton RE (1940) An approach toward a physical interpretation of infiltration-capacity. Soil Sci Soc Am J 5:2

    Google Scholar 

  • Jain AK, Murty MN, Flynn PJ (2000) Data clustering: a review. ACM Comput Surv 35:5–16

    Google Scholar 

  • Kamangar M, Katorani S, Tekyekhah J et al (2019) A novel hybrid MCDM model to select a suitable location for implement groundwater recharge. Plant Arch 19:87–98

    Google Scholar 

  • Karlsen RH, Smits FJC, Stuyfzand PJ et al (2012) A post audit and inverse modeling in reactive transport: 50 years of artificial recharge in the Amsterdam Water Supply Dunes. J Hydrol 454–455:7–25. https://doi.org/10.1016/j.jhydrol.2012.05.019

    Article  Google Scholar 

  • Knüppe K (2011) The challenges facing sustainable and adaptive groundwater management in South Africa. Water 37:67–76

    Google Scholar 

  • Krishnamurthyl J, Arul M, Jayaramanl V, Manivep M (2000) Groundwater resources development in hard rock terrain-an approach using remote sensing and GIS techniques. Int J Appl Earth Obs Geoinf 2:204–215

    Google Scholar 

  • Kumar A, Pandey AC (2016) Geoinformatics based groundwater potential assessment in hard rock terrain of Ranchi urban environment, Jharkhand state (India) using MCDM-AHP techniques. Groundw Sustain Dev 2–3:27–41. https://doi.org/10.1016/j.gsd.2016.05.001

    Article  Google Scholar 

  • Lentswe GB, Molwalefhe L (2020) Delineation of potential groundwater recharge zones using analytic hierarchy process-guided GIS in the semi-arid Motloutse watershed, eastern Botswana. J Hydrol. https://doi.org/10.1016/j.ejrh.2020.100674

    Article  Google Scholar 

  • Liu Y, Eckert CM, Earl C (2020) A review of fuzzy AHP methods for decision-making with subjective judgements. Expert Syst Appl 161:12

    Article  Google Scholar 

  • Maghribi AA, Dimyati M, Supriatna S (2022) Geographic information system and multi-criteria decision analysis for the determination of groundwater recharge potential: systematic review. Water Supply 22:7027–7039

    Article  Google Scholar 

  • Mahala A (2020) Land degradation processes of Silabati river basin, West Bengal, India: a physical perspective. Advances in science, technology and innovation. Springer Nature, Berlin, pp 265–278

    Google Scholar 

  • Mahala A (2021) Delineating the Status of Groundwater in a Plateau Fringe Region Using Multi-Influencing Factor (MIF) and GIS: A Study of Bankura District, West Bengal. India. Springer Nature, Berlin, pp 215–237. https://doi.org/10.1007/978-3-030-62397-5_11

    Book  Google Scholar 

  • Malczewski J (1999) GIS and multicriteria decision analysis. John Wiley & Sons

    Google Scholar 

  • Malczewski J (2006) GIS-based multicriteria decision analysis: a survey of the literature. Int J Geogr Inf Sci 20:703–726

    Article  Google Scholar 

  • Malczewski J, Rinner C (2015) Multicriteria decision analysis in geographic information science, vol 1. Springer, New York, pp 55–77

    Google Scholar 

  • Missimer TM, Drewes JE, Amy G et al (2012) Restoration of Wadi aquifers by artificial recharge with treated waste water. Ground Water 50:514–527. https://doi.org/10.1111/j.1745-6584.2012.00941.x

    Article  Google Scholar 

  • Mokarram M, Saber A, Mohammadizadeh P, Abdolali A (2020) Determination of artificial recharge location using analytic hierarchy process and Dempster-Shafer theory. Environ Earth Sci. https://doi.org/10.1007/s12665-020-08994-5

    Article  Google Scholar 

  • Mokarram M, Negahban S, Abdolali A, Ghasemi MM (2021) Using GIS-based order weight average (OWA) methods to predict suitable locations for the artificial recharge of groundwater. Environ Earth Sci. https://doi.org/10.1007/s12665-021-09719-y

    Article  Google Scholar 

  • Monjezi N, Rangzan K, Taghizade A, Neyamadpour A (2013) Site selection for artificial groundwater recharge using GIS and Fuzzy logic. Int J Eng Technol Sci (IJETS) 1:294–309

    Google Scholar 

  • Nedd R, Light K, Owens M et al (2021) A synthesis of land use/land cover studies: definitions, classification systems, meta-studies, challenges and knowledge gaps on a global landscape. Land 10:2

    Article  Google Scholar 

  • Özkan B, Dengiz O, Turan İD (2020) Site suitability analysis for potential agricultural land with spatial fuzzy multi-criteria decision analysis in regional scale under semi-arid terrestrial ecosystem. Sci Rep. https://doi.org/10.1038/s41598-020-79105-4

    Article  Google Scholar 

  • Pfeiffer DU, Stevens KB (2015) Spatial and temporal epidemiological analysis in the big data era. Prev Vet Med 122:213–220. https://doi.org/10.1016/j.prevetmed.2015.05.012

    Article  Google Scholar 

  • Pradhan B (2009) Groundwater potential zonation for basaltic watersheds using satellite remote sensing data and GIS techniques. Central Eur J Geosci 1:120–129. https://doi.org/10.2478/v10085-009-0008-5

    Article  Google Scholar 

  • Ramakrishnan D, Bandyopadhayay A, Kusuma KN (2009) SCS-CN and GIS-based approach for identifying potential water harvesting sites in the Kali Watershed, Mahi River Basin, India. J Earth Syst Sci 118:355–368

    Article  Google Scholar 

  • Renganath K, Suresh M (2017) Supplier selection using fuzzy MCDM techniques: a literature review. In: 2016 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2016. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/ICCIC.2016.7919590

  • Sallwey J, Bonilla Valverde JP, Vásquez López F et al (2019) Suitability maps for managed aquifer recharge: a review of multi-criteria decision analysis studies. Environ Rev 27:138–150

    Article  Google Scholar 

  • Saraf AK, Choudhury PR (1998) Integrated remote sensing and gis for groundwater exploration and identification of artificial recharge sites. Int J Remote Sens 19:1825–1841. https://doi.org/10.1080/014311698215018

    Article  Google Scholar 

  • Satty TL (1994) Theory and methodology highlights and critical points in the theory and application of the analytic hierarchy process. Eur J Oper Res 74:426–447

    Article  Google Scholar 

  • Shah T (2014) Towards a managed aquifer recharge strategy for Gujarat, India: an economist’s dialogue with hydro-geologists. J Hydrol 518:94–107. https://doi.org/10.1016/j.jhydrol.2013.12.022

    Article  Google Scholar 

  • Sharma PJ, Patel PL, Jothiprakash V (2019) Impact of rainfall variability and anthropogenic activities on streamflow changes and water stress conditions across Tapi Basin in India. Sci Total Environ 687:885–897. https://doi.org/10.1016/j.scitotenv.2019.06.097

    Article  Google Scholar 

  • Singh A, Panda SN, Kumar KS, Sharma CS (2013) Artificial groundwater recharge zones mapping using remote sensing and GIS: a case study in Indian Punjab. Environ Manag 52:61–71. https://doi.org/10.1007/s00267-013-0101-1

    Article  Google Scholar 

  • Singha SS, Pasupuleti S, Singha S et al (2021) Analytic network process-based approach for delineation of groundwater potential zones in Korba district, Central India using remote sensing and GIS. Geocarto Int 36:1489–1511. https://doi.org/10.1080/10106049.2019.1648566

    Article  Google Scholar 

  • Souissi D, Msaddek MH, Zouhri L et al (2018) Mapping groundwater recharge potential zones in arid region using GIS and Landsat approaches, southeast Tunisia. Hydrol Sci J 63:251–268. https://doi.org/10.1080/02626667.2017.1414383

    Article  Google Scholar 

  • Sreedevi PD, Owais S, Khan HH, Ahmed S (2009) Morphometric analysis of a watershed of south India using SRTM data and GIS. J Geol Soc India 73:543–552

    Article  Google Scholar 

  • Standen K, Monteiro JP (2020) In-channel managed aquifer recharge: a review of current development worldwide and future potential in Europe. Water (switzerland) 12:1–28. https://doi.org/10.3390/w12113099

    Article  Google Scholar 

  • Sur T, Acharya T (2020) Filtering of hydraulically significant lineaments from lineament map of Precambrian metamorphic terrain in NE India using set theory. Groundw Sustain Dev. https://doi.org/10.1016/j.gsd.2020.100469

    Article  Google Scholar 

  • Tucci CEM (2007) Urban flood management. World Meteriological Organisation. Cap-Net International Network for Capacity Building in Integrated Water Resources Management. WMO/TD No. 1372.

  • Van Laarhoven PJM, Pedryczt W (1983) A fuzzy extension of saaty’s priority theory. Fuzzy Sets Syst 11:229–241

    Article  Google Scholar 

  • Varade AM, Khare YD, Yadav P et al (2018) ‘Lineaments’ the potential groundwater zones in hard rock area: a case study of basaltic terrain of WGKKC-2 watershed from Kalmeswar Tehsil of Nagpur District, Central India. J Indian Soc Remote Sens 46:539–549. https://doi.org/10.1007/s12524-017-0716-4

    Article  Google Scholar 

  • Verma RK (2014) Technical report series ground water brochure Ahmedabad District Gujarat Central Ground Water Board West Central Region Ahmedabad

  • Vishwakarma A, Goswami A, Pradhan B (2021) Prioritisation of sites for managed aquifer recharge in a semi-arid environment in western India using GIS-Based multi-criteria evaluation strategy. Groundw Sustain Dev. https://doi.org/10.1016/j.gsd.2020.100501

    Article  Google Scholar 

  • Yadav SS, Lal R (2018) Vulnerability of women to climate change in arid and semi-arid regions: the case of India and South Asia. J Arid Environ 149:4–17. https://doi.org/10.1016/j.jaridenv.2017.08.001

    Article  Google Scholar 

  • Zadeh LA (1965) Fuzzy sets. Inf Control 8:338–353

    Article  Google Scholar 

  • Zarate E, Hobley D, MacDonald AM et al (2021) The role of superficial geology in controlling groundwater recharge in the weathered crystalline basement of semi-arid Tanzania. J Hydrol Reg Stud. https://doi.org/10.1016/j.ejrh.2021.100833

    Article  Google Scholar 

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  1. Indian Institute of Technology Kharagpur, Kharagpur, India

    Tarun Goswami & Somnath Ghosal

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  1. Tarun Goswami
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Tarun Goswami conceived the idea, designed the study, collected information from different sources, standardised the datasets, drafted the work and revised it for important intellectual content. Somnath Ghosal critically reviewed the manuscript and approved the version to be published.

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Correspondence to Somnath Ghosal.

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Goswami, T., Ghosal, S. Proposing civil structures for managed aquifer recharge in relevant sites of Shilabati River: an integrated spatial analysis. Environ Earth Sci 82, 361 (2023). https://doi.org/10.1007/s12665-023-11033-8

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