Abstract
Groundwater is a major source of water for domestic and industrial purpose in across India, due to scarcity of surface water. The study intended to demarcate groundwater potential zones (GWPZ) using remote sensing and geographical information system (GIS) with analytical hierarchy process (AHP) for Pattukottai Taluk belongs to Thanjavur district, Tamilnadu, India. Hence, the study used remote sensing technology generated data as a source for the preparation of thematic layers, AHP was used for determining the weightages of various layers with the help of expert’s opinion, and eventually, GIS was utilized to perform the weighted overlay analysis to demarcate the groundwater potential zone of the study area. In addition, sensitivity analysis carried out to determine the highest influence thematic layers for the aforementioned outcome. Furthermore, the study was validated with 78 spatially well-distributed borewell samples’ water level, and yield was measured in the field between pre-monsoon and post-monsoon by using 10HP pump for an 850-liter tank capacity. The study revealed that 15.06% area covered considered as low, 22.82% moderate, 33.27% and 28.85% are considered high and very high groundwater potential zones respectively. The outcome of the study is useful for the decision makers and administrative people to regulate the groundwater for present and future needs.
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References
Achu AL, Reghunath R, Thomas J (2019) Map** of Groundwater recharge potential zones and identification of suitable site-specific recharge mechanisms in a tropical river basin. Earth Syst Environ 4:131–145. https://doi.org/10.1007/s41748-019-00138-5
Achu AL, Reghunath R, Thomas J (2020) Multi-criteria decision analysis for delineation of groundwater potential zones in a tropical river basin using remote sensing, HIS and analytical hierarchy process (AHP). Groundwater Sustainable Dev 10:1–11. https://doi.org/10.1016/j.gsd.2020.100365
Ahmed SA, Ibrahim-Bathis K (2016) Geospatial technology for delineating groundwater potential zones in Doddahalla watershed of Chitradurga District, India. Egypt. J. Remote Sens. Space Sci 19:223–234. https://doi.org/10.1016/j.ejrs.2016.06.002
Aju CD, Reghunath R, Prasannakumar V, Chandran S (2019) Terrain characteristics and their influence on the temporal behaviour of hydraulic heads in kallada river basin, Kerala. J. Geol. Soc. India 93:61–67. https://doi.org/10.1007/s12594-019-1123-y
Althuwaynee PB, Park HJ, Lee JH (2014) A novel ensemble bivariate statistical evidential belief function with knowledge-based analytical hierarchy process and multivariate statistical logistic regression for landslide susceptibility map**. Catena 114:21–36. https://doi.org/10.1016/j.catena.2013.10.011
Amit B, Bhabani PM, Baru S (2020) Delineation of groundwater potential zones in Karha river basin, Maharashtra, India, using AHP and geospatial techniques. Arabian J. Geosci. 13(693):1–21. https://doi.org/10.1007/s12517-020-05702-2
Babikar IS, Mohamed MAA, Hiyama T, Kato K (2005) A GIS based drastic model for assessing aquifer vulnerability in Kakamighara heights, Gifu Prefecture, Central Japan, Sci. Total Environ 345:127–140. https://doi.org/10.1016/j.scitotenv.2004.11.005
Corsini A, Cervi F, Ronchetti F (2009) Weight of evidence and artificial neural networks for potential groundwater spring map**: an application to the Mt. Modino area (Northern Apennines, Italy). Geomorphology 111:79–87. https://doi.org/10.1016/j.geomorph.2008.03.015
Davoodi Moghaddam D, Rezaei M, Pourghasemi HR, Pourtaghie ZS, Pradhan B (2013) Groundwater spring potential map** using bivariate statistical model and GIS in the Taleghan watershed. Iran. Arabian J. Geosci. 8:913–929. https://doi.org/10.1007/s12517-013-1161-5
Eastman JR (1999) Multi-criteria evaluation and GIS. GeogrInfSyst 1:493–502
Engman ET, Gurney RJ (1991) Remote sensing in hydrology. Chapman and Hall, London.Geol. Mag 129:645. https://doi.org/10.1017/S0016756800021890
Godebo TR (2005) Application of remote sensing and GIS for geological investigation and groundwater potential zone identification, Southeastern Ethiopian Plateau, Bale Mountains and the surrounding areas. Dissertation, Addis Ababa University
Gopinath G, Swetha TV, Thrivikramji KP, Jesiya NP (2017) Geospatial and MCDM tool mix for identification of potential groundwater prospects in a tropical river basin, Kerala. Environ. Earth Sci 76:428. https://doi.org/10.1007/s12665-017-6749-8
Hammouri N, El-Naqa A, Barakat M (2012) An Integrated approach to groundwater exploration using remote sensing and geographic information system. J Water Resour. Prot. 4:717–724. https://doi.org/10.4236/jwarp.2012.49081
Healy RW (2010) Estimating groundwater recharge. Cambridge University Press, Cambridge. Hydrogeol J 19:1451–1452. https://doi.org/10.1007/s10040-011-0764-8
Israil M, Al-hadithi M, Singhal DC (2006) Application of a resistivity survey and geographical information system (GIS) analysis for hydrogeological zoning of a piedmont area, Himalayan foothill region, India. Hydrogeol J 14:753–759. https://doi.org/10.1007/s10040-005-0483-0
Jasrotia AS, Kumar A, Singh R (2016) Integrated remote sensing and GIS approach for delineation of groundwater potential zones using aquifer parameters in Devak and Rui watershed of Jammu and Kashmir, India. Arabian J. Geosci 9:1–15. https://doi.org/10.1007/s12517-016-2326-9
Jha MK, Peiffer S (2006) Applications of remote sensing and GIS technologies in groundwater hydrology: past, present and future. BayCEER, Bayreuth, Germany ISBN 3000188908
Jha MK, Chowdhury A, Chowdary VM, Peiffer S (2007) Groundwater management and development by integrated remote sensing and geographic information systems: prospects and constraints. Water Resour. Manage. 21:427–467. https://doi.org/10.1007/s11269-006-9024-4
Jha MK, Chowdary VM, Chowdhury A (2010) Groundwater assessment in Salboni Block, West Bengal (India) using remote sensing, geographical information system and multi-criteria decision analysis techniques. Hydrogeol. J 18:1713–1728. https://doi.org/10.1007/s10040-010-0631-
Jhariya DC, Kumar T, Gobinath M, Diwan P, Kishore N (2016) Assessment of groundwater potential zone using remote sensing, GIS and multi criteria decision analysis techniques. J. Geol. Soc. India 88:481–492. https://doi.org/10.1007/s12594-016-0511-9
Kaliraj S, Chandrasekar N, Magesh NS (2014) Identification of potential groundwater recharge zones in Vaigai upper basin, Tamil Nadu, using GIS-based analytical hierarchical process (AHP) technique. Arabian J. Geosci. 7:1385–1401. https://doi.org/10.1007/s12517-013-0849-x
Kolandhavel P, Ramamoorthy S (2019) Investigation of groundwater potential zones in NandiAru Sub Basin, Tamilnadu, India—an integrated geophysical and geoinformatics approach. Arabian J. Geosci 12:105. https://doi.org/10.1007/s12517-019-4247-x
Krishnamurthy J, Srinivas G (1995) Role of geological and geomorphological factors in ground water exploration: a study using IRS LISS data. Int J Remote Sens 16:2595–2618. https://doi.org/10.1080/01431169508954579
Kumar A, Chandra A (2017) Groundwater for sustainable development geoinformatics based groundwater potential assessment in hard rock terrain of Ranchi urban environment , Jharkhand State India Using MCDM – AHP Techniques. Groundwater Sustainable Dev 2:27–41. https://doi.org/10.1016/j.gsd.2016.05.001
Lodwick WA, Monson W, Svoboda L (1990) Attribute error and sensitivity analysis of map operations in geographical information systems: suitability analysis. Int. J. Geogr. Inf. Syst 4:413–428. https://doi.org/10.1080/02693799008941556
Luo D, Wen X, Xu J, Zhang H, Vongphet S (2021) Delineation of groundwater potential zones using modified weight standardization method and GIS in arid environments: case study of E**a Oasis, Inner Mongolia, China. Arabian J. Geosci 14:671. https://doi.org/10.1007/s12517-021-06962-2
Maheswaran G, Selvarani AG, Elangovan K (2016) Groundwater resource exploration in Salem district, Tamil Nadu using GIS and remote sensing. J. Earth Syst. Sci. 125:311–328. https://doi.org/10.1007/s12040-016-0659-0
Mallick J, Khan RA, Ahmed M, Alqadhi SD, Alsubih M, Falqi I, Hasan MA (2019) Modeling groundwater potential zone in a semi-arid region of Aseer using fuzzy-AHP and geoinformation techniques. Water 11:2656. https://doi.org/10.3390/w11122656
Martin SL, Hayes DB, Kendall AD, Hyndman DW (2017) The land-use legacy effect: towards a mechanistic understanding of time-lagged water quality responses to land use/cover. Sci. Total Environ. 579:1794–1803. https://doi.org/10.1016/j.scitotenv.2016.11.158
Mogaji KA, Lim HS, Abdullah K (2014) Regional prediction of groundwater potential map** in a multifaceted geology terrain using GIS-based Dempster–Shafer model. Arab J Geosci. https://doi.org/10.1007/s12517-014-1391-1
Naghibi SA, Pourghasemi HR, Pourtaghie ZS, Rezaei A (2014) Groundwater qanat potential map** using frequency ratio and Shannon’s entropy models in the Moghan Watershed. Iran Earth Sci. Inf 8:171–186. https://doi.org/10.1007/s12145-014-0145-7
Naghibi SA, Moghaddam DD, Kalantar B, Pradhan B, Kisi O (2017) A Comparative assessment of GIS-based data mining models and a novel ensemble model in groundwater well potential map**. J Hydrol 548:471–483. https://doi.org/10.1016/j.jhydrol.2017.03.020
Nampak H, Pradhan B, Manap MA (2014) Application of GIS based data driven evidential belief function model to predict groundwater potential zonation. J Hydrol 513:283–300. https://doi.org/10.1016/j.jhydrol.2014.02.053
Napolitano P, Fabbri AG (1996) Single-parameter sensitivity analysis for aquifer vulnerability assessment using DRASTIC and SINTACS. Application of geographic information systems in hydrology and water resources management (Proceedings of the Vienna Conference, April 1996). IAHS Publ. no. 235 April 1996:559–566
Nejad SG, Falah F, Daneshfar M, Haghizadeh A (2017) Delineation of groundwater potential zones using remote sensing and gis-based data-driven models. Geocarto Int 6049:1–22. https://doi.org/10.1080/10106049.2015.1132481
Omid R, Aliakbar NS, Mohamad M, Hamid RP, Hossein Z (2014) Groundwater potential map** at Kurdistan region of Iran using analytic hierarchy process and GIS. Arabian J Geosci 8:7059–7071. https://doi.org/10.1007/s12517-014-1668-4
Ozdemir A (2011) Using a binary logistic regression method and GIS for evaluating and map** the groundwater spring potential in the Sultan Mountains (Aksehir, Turkey). J Hydrol 405(1):123–136. https://doi.org/10.1016/j.jhydrol.2011.05.015
Pandey VP, Chapagain SK, Kazama F (2010) Evaluation of groundwater environment of Kathmandu Valley. Environ. Earth Sci. 60:1329–1342. https://doi.org/10.1007/s12665-009-0263-6
Pietersen K (2006) Multiple criteria decision analysis (MCDA): a tool to support sustainable management of groundwater resources in South Africa. Water SA 32:119–128. https://doi.org/10.4314/wsa.v32i2.5242
Pinto D, Shrestha S, Babel MS (2015) Delineation of groundwater potential zones in the Comoro watershed, Timor Leste using GIS, remote sensing and analytic hierarchy process (AHP) technique. Appl. Water Sci. 7:503–519. https://doi.org/10.1007/s13201-015-0270-6
Rakesh K, Singh RD, Sharma KD (2005) Water resources India. Curr. Sci. 89:794–811
Reddy VR (2005) Costs of resource depletion externalities: a study of groundwater overexploitation in Andhra Pradesh, India. Environ. Dev. Econ. 10:533–556. https://doi.org/10.1017/S1355770X05002329
Saaty TL (1980) The analytical hierarchy process. McGraw Hill, New York. https://doi.org/10.1007/978-1-4613-2805-6_12
Saha D, Upadhyay S, Dhar YR, Singh R (2007) The aquifer system and evaluation of its hydraulic parameters in parts of south Ganga plain, Bihar, India. J. Geol. Soc. India 69:1031–1041
Saltelli A, Ratto M, Andres T, Campolongo F, Cariboni J, Gatelli D, Saisana M, Tarantola S (2008). Global sensitivity analysis. The primer. John Wiley & Sons, Ltd. https://doi.org/10.1002/9780470725184.ch
Saranya T, Saravanan S (2020) Groundwater potential zone map** using analytical hierarchy process (AHP) and GIS for Kancheepuram District, Tamilnadu, India. Model Earth Syst Environ 6:1105–1122. https://doi.org/10.1007/s40808-020-00744-7
Saravanan S (2020) Delineation of groundwater potential zone using analytical hierarchy process and GIS for Gundihalla Watershed, Karnataka, India. Arabian J Geosci 13(15). https://doi.org/10.1007/s12517-020-05712-0
Senapati U, Das TK (2021) Assessment of basin-scale groundwater potentiality map** in drought-prone upper Dwarakeshwar River basin, West Bengal, India, using GIS-based. AHP Techniques 14:960. https://doi.org/10.1007/s12517-021-07316-8
Shekhar S, Pandey AC (2014) Delineation of groundwater potential zone in hard rock terrain of India using remote sensing, geographical information system (GIS) and analytic hierarchy process (AHP) techniques. GeocartoInt 30:402–421. https://doi.org/10.1080/10106049.2014.894584
Silwal CB, Pathak D (2018) Review on practices and state of the art methods on delineation of ground water potential using GIS and remote sensing. Bull. Dep. Geol 20:7–20. https://doi.org/10.3126/bdg.v20i0.20717
Singh SK, Zeddies M, Shankar U, Griffiths GA (2019) Potential groundwater recharge zones within New Zealand. Geosci Front 10:1065–1072. https://doi.org/10.1016/j.gsf.2018.05.018
Solomon S, (2003) Groundwater study using remote sensing and geographic information systems (GIS) in the central highlands of Eritrea. PhD Thesis, Royal Institute of Technology, Stockholm, Sweden
Solomon S, Quiel F (2006) Groundwater study using remote sensing and geographic information systems (GIS) in the central highlands of Eritrea. J Hydrol 14:1029–1041. https://doi.org/10.1007/s10040-006-0096-2
Vellaikannu A (2021) Identification of groundwater potential zones using geospatial approach in Sivagangai District, South India. Arabian J. Geosci 14(1). https://doi.org/10.1007/s12517-020-06316-4
Verma N, Patel RK (2021) Delineation of groundwater potential zones in lower Rihand River Basin, India using geospatial techniques and AHP Egypt. J. Remote. Sens. Space Sci.:1–12. https://doi.org/10.1016/j.ejrs.2021.03.005
Vittala SS, Govindaiah S, Gowda HH (2005) Evaluation of groundwater potential zones in the sub-watersheds of north Pennar river basin around Pavagada, Karnataka, India using remote sensing and GIS techniques. J Indian Soc Remote Sens 33:483–493. https://doi.org/10.1007/BF02990733
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Karuppasamy Sudalaimuthu designed the objectives, methodology and drafted and validated the manuscript. Mr. Kalidhas has carried out the field work, derived the weights using AHP, and delineated the potential zones using GIS.
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Muthu, K., Sudalaimuthu, K. Integration of Remote sensing, GIS, and AHP in demarcating groundwater potential zones in Pattukottai Taluk, Tamilnadu, India. Arab J Geosci 14, 1748 (2021). https://doi.org/10.1007/s12517-021-08110-2
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DOI: https://doi.org/10.1007/s12517-021-08110-2