Skip to main content
Log in

Groundwater harvesting and artificial recharge site identification on upper Shilabati watershed using geospatial approaches

  • Research
  • Published:
Theoretical and Applied Climatology Aims and scope Submit manuscript

Abstract

Rainwater harvesting and artificial recharge are substitute procedures to enhance groundwater and surface water for providing an unceasing water supply to a demand area. This analysis recommends the methodology to demarcate harvesting of rainwater and artificial recharge sites as recognizing constructive artificial recharge sites applying multi-criteria decision analysis (MCDA), integrated with remote sensing (RS), and GIS, procedures for supplementing groundwater properties in the Upper Shilabati catchment of West Bengal state, India. The Upper Shilabati catchment is a drought-prone area with high water demand to fulfill sustainable livelihood. The categorized regions like very low 5% (83.05 km2), low 32% (523.44 km2), moderate 26% (425.93 km2), high 37% (604.70 km2), and very high 0.002% (0.04 km2) while harvesting of rainwater regions are very low 6% (97.49 km2), low 25% (404.43 km2), moderate 53% (866.53 km2), high 13% (212.09 km2), and very high 4% (64.420 km2). The examining outcome indicates that the projected and previously current artificial recharge construction, like Percolation Tanks (PT), Check Dams (CD), Nala Bund (NB), Farm Ponds (FP), and Bore Wells (BW) with the entire numbers of 5, 2, 2, 2, and 1 similarly. The zones delineated for generating numerous artificial recharge structures with 112 artificial recharge constructions are notified, and 60 artificial recharge locations fall in the high recharge region. This artificial recharge is located in 28 (moderate recharge) and 24 sites (low recharge). Study outcomes could be applied to communicate an effectual groundwater management plan for domestic and agricultural determinations with confirm sustainable water supply for this basin.

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
Fig. 6
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

Data availability

Data will be supplied upon request from corresponding author.

Code availability

Not applicable.

References

  • Agarwal PK (2007) Climate Change: Implications for indian agriculture. Jalvigyan Sameeksha 22:37–46

    Google Scholar 

  • Anand B, Karunanidhi D, Subramani T (2020) Promoting artificial recharge to enhance groundwater potential in the lower Bhavani River basin of South India using geospatial techniques. Environ Sci Pollut Res 28(15):18437–18456. https://doi.org/10.1007/s11356-020-09019-1

    Article  CAS  Google Scholar 

  • Anbazhagan S, Ramasamy SM, Das Gupta S (2005) Remote sensing and GIS for artificial recharge study, runoff estimation and planning in Ayyar basin, Tamil Nadu. India Environmental Geology 48(2):158–170. https://doi.org/10.1007/s00254-005-1284-4

    Article  CAS  Google Scholar 

  • Anh DT, Pandey M, Mishra VN, Singh KK, Ahmadi K, Janizadeh S, Tran TT, Linh NTT, Dang NM (2023) Assessment of groundwater potential modeling using support vector machine optimization based on Bayesian multi-objective hyperparameter algorithm. Appl Soft Comput 132:109848

    Article  Google Scholar 

  • Awadh SM, Al-Mimar H, Yaseen ZM (2020) Groundwater availability and water demand sustainability over the upper mega aquifers of Arabian Peninsula and west region of Iraq. In Environment, Development and Sustainability. https://doi.org/10.1007/s10668-019-00578-z

    Article  Google Scholar 

  • Bera A, Mukhopadhyay BP (2023) Identification of suitable sites for surface rainwater harvesting in the drought prone Kumari River basin, India in the context of irrigation water management. J Hydrol 621:129655

    Article  Google Scholar 

  • Bhattacharya, S, Halder, S, Nag, S, Roy, PK, Roy, MB (2021) Assessment of drought using multi-parameter indices. Advances in Water Resources Management for Sustainable Use, 243–255. https://doi.org/10.1007/978-981-33-6412-7_18

  • Bhunia, GS, Maity, PK, Shit, P K (2021) Spatial Appraisals of Groundwater Recharge Potential Zone Identification Using Remote Sensing and GIS. In Groundwater and Society (pp. 407–427). Springer International Publishing. https://doi.org/10.1007/978-3-030-64136-8_19

  • Chezgi J, Pourghasemi HR, Naghibi SA, Moradi HR, KheirkhahZarkesh M (2015) Assessment of a spatial multi-criteria evaluation to site selection subsurface dams in the Alborz Province. Geocarto Internationa Journal, Iran

    Google Scholar 

  • Chezgi J, Pourghasemi HR, Naghibi SA, Moradi HR, Kheirkhah Zarkesh M (2016) Assessment of a spatial multi-criteria evaluation to site selection underground dams in the Alborz Province. Iran Geocarto International 31(6):628–646

    Article  Google Scholar 

  • Chowdhury M, Paul PK (2021) Identification of suitable sites for rainwater harvesting using fuzzy AHP and fuzzy gamma operator: a case study. Arab J Geosci 14(7):585

    Article  Google Scholar 

  • Chowdhury A, Jha MK, Chowdary VM (2009) 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(6):1209–1222. https://doi.org/10.1007/s12665-009-0110-9

    Article  Google Scholar 

  • Das B, Pal SC (2020) Assessment of groundwater vulnerability to over-exploitation using MCDA, AHP, fuzzy logic and novel ensemble models: a case study of Goghat-I and II blocks of West Bengal. India Environment Earth Sci 79(5):104

    Article  Google Scholar 

  • Das U, Bajpai R, Chakrabortty D (2020) River regulation and associated geo-environmental problems: A case study of lower reaches of Shilabati river basin, West Bengal, India. Int J Ecol Environ Sci 2:233–240

    Google Scholar 

  • Feizizadeh B, Jankowski P, Blaschke T (2014) A GIS based spatially-explicit sensitivity and uncertainty analysis approach for multi-criteria decision analysis. Comput Geosci 64:81–95. https://doi.org/10.1016/j.cageo.2013.11.009

    Article  Google Scholar 

  • Ghazavi R, Babaei S, Erfanian M (2018) Recharge wells site selection for artificial groundwater recharge in an urban area using fuzzy logic technique. Water Resour Manage 32:3821–3834

    Article  Google Scholar 

  • Ghosh A, Adhikary PP, Bera B, Bhunia GS, Shit PK (2022) Assessment of groundwater potential zone using MCDA and AHP techniques: case study from a tropical river basin of India. Appl Water Sci 12(3):37

    Article  Google Scholar 

  • Ghute, B. B., & Md. Babar, S. (2020). An Approach to Mapping Groundwater Recharge Potential Zones using Geospatial Techniques in Kayadhu River Basin, Maharashtra. Indian Journal of Agricultural Research, 55(1), 23–32. https://doi.org/10.18805/IJARe.A-5477

  • Griffin, D, McLinden, CA, Boersma, F, Bourassa, A, Dammers, E, Degenstein, D, Eskes, H, Fehr, L, Fioletov, V, Hayden, K, Kharol, SK, Li, S-M, Makar, P, Martin, RV, Mihele, C, Mittermeier, RL, Krotkov, N, Sneep, M, Lamsal, LN, … Zhao, X (2019) High resolution mapping of nitrogen dioxide with TROPOMI: First results and validation over the Canadian oil sands. Geophys Res Lett, 46(2), 1049–1060. https://doi.org/10.1029/2018GL081095

  • Halder S, Roy MB, Roy PK (2021) Tropical plateau basin prioritisation for sustainable groundwater management using classical algorithms. Arab J Geosci 14:1–30

    Article  Google Scholar 

  • Halder S, Maiti P, Karmakar S, Roy MB, Roy PK (2023) Enhanced fluoride removal from groundwater using red and white kaolinite lithomarge to develop a low cost eco-friendly defluoridation unit in rural areas of Shilabati river basin, West Bengal. J Water Process Eng 53:103698

    Article  Google Scholar 

  • Halder, B, Bandyopadhyay, J, Banik, P (2020) Assessment of hospital sites’ suitability by spatial information technologies using AHP and GIS-based multi-criteria approach of Rajpur–Sonarpur Municipality. Model Earth Syst Environ, 6(4). https://doi.org/10.1007/s40808-020-00852-4

  • Halder, B, Tiyasha, T, Shahid, S, Yaseen, ZM (2022) Delineation of urban expansion and drought-prone areas using vegetation conditions and other geospatial indices. Theoretical Appl Climatol, 1–19. https://doi.org/10.1007/s00704-022-04108-2

  • Hashim HQ, Sayl KN (2021) Detection of suitable sites for rainwater harvesting planning in an arid region using geographic information system. Applied Geomatics 13:235–248

    Article  Google Scholar 

  • Huang, Z, Liu, C, Zhao, X, Dong, J, Zheng, B (2020) Risk assessment of heavy metals in the surface sediment at the drinking water source of the Xiangjiang River in South China. Environ Sci Eur, 32(1). https://doi.org/10.1186/s12302-020-00305-w

  • Jamali AA, Ghorbani Kalkhajeh R (2020) Spatial modeling considering valley’s shape and rural satisfaction in check dams site selection and water harvesting in the watershed. Water Resour Manage 34(10):3331–3344

    Article  Google Scholar 

  • James AL, Roulet NT (2009) Antecedent moisture conditions and catchment morphology as controls on spatial patterns of runoff generation in small forest catchments. J Hydrol 377(3–4):351–366

    Article  Google Scholar 

  • Karmakar M, Banerjee M, Mandal M, Ghosh D (2021) Application of AHP for groundwater potential zones mapping in plateau fringe terrain: study from Western Province of West Bengal. Groundwater and Society, Applications of Geospatial Technology, pp 189–219

    Google Scholar 

  • Kumar T, Jhariya DC (2016) Identification of rainwater harvesting sites using SCS-CN methodology, remote sensing and Geographical Information System techniques. Geocarto Int 32(12):1367–1388. https://doi.org/10.1080/10106049.2016.1213772

    Article  Google Scholar 

  • Machiwal D, Singh PK (2015) Comparing GIS-based multi-criteria decision-making and Boolean logic modelling approaches for delineating groundwater recharge zones. Arab J Geosci 8:10675–10691

    Article  Google Scholar 

  • Maina CW, Raude JM (2016) Assessing Land Suitability for Rainwater Harvesting Using Geospatial Techniques: A Case Study of Njoro Catchment, Kenya. Appl Environ Soil Sci 2016:1–9. https://doi.org/10.1155/2016/4676435

    Article  Google Scholar 

  • Mallik S, Mishra U, Paul N (2021) Groundwater suitability analysis for drinking using GIS based fuzzy logic. Ecol Ind 121:107179

    Article  CAS  Google Scholar 

  • Myronidis D, Ioannou K, Fotakis D, Dörflinger G (2018) Streamflow and Hydrological Drought Trend Analysis and Forecasting in Cyprus. Water Resour Manage. https://doi.org/10.1007/s11269-018-1902-z

    Article  Google Scholar 

  • Newcomer MW, Hunt RJ (2022) NWTOPT – A hyperparameter optimization approach for selection of environmental model solver settings. Environ Model Softw. https://doi.org/10.1016/j.envsoft.2021.105250

    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(1). https://doi.org/10.1007/s12517-019-4996-6

  • Saaty TL (1977) A scaling method for priorities in hierarchical structures. J Math Psychol 15(3):234–281. https://doi.org/10.1016/0022-2496(77)90033-5

    Article  Google Scholar 

  • Saaty TL (2008) Decision making with the analytic hierarchy process. Int J Services Sci 1(1):83. https://doi.org/10.1504/ijssci.2008.017590

    Article  Google Scholar 

  • Saaty, TL (2006) The Analytic Network Process – Dependence and Feedback in Decision-Making. In Business Applications and Computational Intelligence (pp. 360–387). IGI Global. https://doi.org/10.4018/978-1-59140-702-7.ch018

  • Saraf AK, Choudhury PR (1998) Integrated remote sensing and GIS for groundwater exploration and identification of artificial recharge sites. Int J Remote Sens 19(10):1825–1841. https://doi.org/10.1080/014311698215018

    Article  Google Scholar 

  • Sayl KN, Muhammad NS, Yaseen ZM, El-shafie A (2016) Estimation the Physical Variables of Rainwater Harvesting System Using Integrated GIS-Based Remote Sensing Approach. Water Resour Manage 30(9):3299–3313. https://doi.org/10.1007/s11269-016-1350-6

    Article  Google Scholar 

  • Sayl KN, Mohammed AS, Ahmed AD (2020) GIS-based approach for rainwater harvesting site selection. IOP Conf Ser: Mater Sci Eng 737(1):12246. https://doi.org/10.1088/1757-899x/737/1/012246

    Article  CAS  Google Scholar 

  • Senanayake IP, Dissanayake DMDOK, Mayadunna BB, Weerasekera WL (2016) An approach to delineate groundwater recharge potential sites in Ambalantota, Sri Lanka using GIS techniques. Geosci Front 7(1):115–124. https://doi.org/10.1016/j.gsf.2015.03.002

    Article  Google Scholar 

  • Shirgure PS, Rajput GS (2011) Evaporation modeling with neural networks–A Research review. Int J Res Rev Soft Intell Comput 1(2):37–47

    Google Scholar 

  • Singh LK, Jha MK, Chowdary VM (2017) Multi-criteria analysis and GIS modeling for identifying prospective water harvesting and artificial recharge sites for sustainable water supply. J Clean Prod 142:1436–1456

    Article  Google Scholar 

  • Thapa R, Gupta S, Guin S, Kaur H (2017) Assessment of groundwater potential zones using multi-influencing factor (MIF) and GIS: a case study from Birbhum district. West Bengal Appl Water Sci 7(7):4117–4131. https://doi.org/10.1007/s13201-017-0571-z

    Article  Google Scholar 

  • Zhang S, Omar AH, Hashim AS, Alam T, Khalifa HAE-W, Elkotb MA (2023) Enhancing waste management and prediction of water quality in the sustainable urban environment using optimized algorithm of least square support vector machine and deep learning techniques. Urban Climate 49:101487

    Article  Google Scholar 

Download references

Acknowledgments

The authors thankful to the Vidyasagar University for this research opportunity and truly thankful for local government body for field survey and data collection.

Funding

This research has not received any funding from any source.

Author information

Authors and Affiliations

Authors

Contributions

Bijay Halder: Conceptualization; Data curation; Formal analysis; Methodology; Supervision, Investigation; Project administration; Software; Visualization; Writing—original draft,—review & editing draft preparation; Jatisankar Bandyopadhyay: Supervision, Investigation; Visualization; Writing—original draft,—review & editing draft preparation Sonamani Hemram: Conceptualization; Data curation; Formal analysis; Investigation; Software; Visualization; Writing—original draft,—review & editing draft preparation; Resources.

Corresponding author

Correspondence to Bijay Halder.

Ethics declarations

Ethics approval

The manuscript is conducted within the ethical manner advised by the targeted journal.

Consent to participate

Not applicable.

Consent for publication

The research is scientifically consented to be published.

Competing interests

The authors declare no competing interests.

Additional information

Publisher's Note

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

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Halder, B., Bandyopadhyay, J. & Hemram, S. Groundwater harvesting and artificial recharge site identification on upper Shilabati watershed using geospatial approaches. Theor Appl Climatol (2024). https://doi.org/10.1007/s00704-024-04947-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s00704-024-04947-1

Navigation