Abstract
Human survival depends on access to water. Studies of surface water are well documented, but it is challenging to know precisely where to find the groundwater resources. In order to meet water needs both now and in the future, precise understanding of groundwater resources is necessary. The Analytical Hierarchy Process (AHP) and Geographical Information System (GIS) in combination with multicriteria parameters have become an effective method for assessing groundwater potential in recent years. To date, however, there have been no attempts made to define the study area’s groundwater potential. As a result, the groundwater potential of the Saroor Nagar watershed consisting an area of 42 km2 was delineated in this study using AHP, overlay analysis, GIS, and seven thematic layers (geology, slope, drainage density, rainfall, distance to waterbody, soil, and land use/land cover) for the years 2008, 2014, and 2020. The weights are assigned based on the overall setting of the region, and AHP looks for consistency ratios to optimize the weights and ranks of different thematic layers. The resulting groundwater potential zones (GWPZ) delineated using the above methods have been classified as very good, good, moderate, and poor. The research revealed that the study area has only moderate and good potential zones, with few poor zones and no very good zones. In the years 2008, 2014, and 2020, the moderate zones accounted for 76.19, 86.2, and 59.76%, of the total area, respectively, and the good zones accounted for 23.57, 12.61, and 40% of the total area. Using groundwater level data and the ROC method, the obtained result was validated, and the area under the ROC curve was 0.762, 0.850, 0.724 for 2008, 2014, and 2020, respectively, proving the viability of the suggested method for defining groundwater potential zones.
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References
Abijith D, Saravanan S, Singh L, Jennifer JJ, Saranya T, Parthasarathy KSS (2020) GIS-based multi-criteria analysis for identification of potential groundwater recharge zones: a case study from Ponnaniyaru watershed, Tamil Nadu, India. HydroRes 3:1–14. https://doi.org/10.1016/j.hydres.2020.02.002
Achu AL, Thomas J, Reghunath R (2020) Multi-criteria decision analysis for delineation of groundwater potential zones in a tropical river basin using remote sensing, GIS and analytical hierarchy process (AHP). In: Groundwater for Sustainable Development 10. https://doi.org/10.1016/j.gsd.2020.100365
Adimalla N, Taloor AK (2020) Hydrogeochemical investigation of groundwater quality in the hard rock terrain of South India using Geographic Information System (GIS) and groundwater quality index (GWQI) techniques. Groundw Sustain Dev 10:100288. https://doi.org/10.1016/j.gsd.2019.100288
Agarwal R, Garg PK (2016) Remote sensing and GIS based groundwater potential & recharge zones mapping using multi-criteria decision-making technique. Water Resour Manag 30(1):243–260. https://doi.org/10.1007/s11269-015-1159-8
Agarwal E, Agarwal R, Garg RD, Garg PK (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
Ahmad I, Dar MA, Andualem TG, Teka AH (2020) GIS-based multi-criteria evaluation of groundwater potential of the Beshilo River basin. Ethiopia. J Afr Earth Sci 164:103747. https://doi.org/10.1016/j.jafrearsci.2019.103747
Ajay Kumar V, Mondal NC, Ahmed S (2020) Identification of groundwater potential zones using RS, GIS and AHP techniques: a case study in a part of deccan volcanic province (DVP), Maharashtra, India. J Indian Soc Remote Sens 48(3):497–511. https://doi.org/10.1007/s12524-019-01086-3
Arulbalaji P, Padmalal D, Sreelash K (2019) GIS and AHP techniques-based delineation of groundwater potential zones: a case study from Southern Western Ghats, India. Sci Rep 9:1–17. https://doi.org/10.1038/s41598-019-38567-x
Asoka A, Wada Y, Fishman R, Mishra V (2018) Strong linkage between precipitation intensity and monsoon season groundwater recharge in India. Geophys Res Lett. https://doi.org/10.1029/2018GL078466
Bagyaraj M, Ramkumar T, Venkatramanan S, Gurugnanam B (2013) Application of remote sensing and GIS analysis for identifying groundwater potential zone in parts of Kodaikanal Taluk, South India. Front Earth Sci 7(1):65–75. https://doi.org/10.1007/s11707-012-0347-6
Biswas A, Jana A, Mandal A (2013) Application of remote sensing, GIS and MIF technique for elucidation of groundwater potential zones from a part of Orissa coastal tract, eastern India. Res J Recent Sci 2(11):42–49
Biswas S, Mukhopadhyay BP, Bera A (2020) Delineating groundwater potential zones of agriculture dominated landscapes using GIS based AHP techniques: a case study from Uttar Dinajpur district, West Bengal. Environ Earth Sci 7912(79):1–25. https://doi.org/10.1007/S12665-020-09053-9
Bui DT et al (2019) A hybrid computational intelligence approach to groundwater spring potential mapping. Water (switzerland) 11(10):1–30
Chepchumba M, Raude J, Sang J (2019) Geospatial delineation and mapping of groundwater potential in Embu County, Kenya. Acque Sotterranee - Italian J Groundw 8. https://doi.org/10.7343/as-2019-369
Dar T, Rai N, Bhat A (2020) Delineation of potential groundwater recharge zones using analytical hierarchy process (AHP). Geol Ecol Landsc 5:292–307. https://doi.org/10.1080/24749508.2020.1726562
Das S, Pardeshi SD (2018) Integration of different influencing factors in GIS to delineate groundwater potential areas using IF and FR techniques: a study of Pravara basin, Maharashtra, India. Appl Water Sci 87(8):1–16. https://doi.org/10.1007/S13201-018-0848-X
Deshmukh KK, Aher SP (2016) Assessment of the impact of municipal solid waste on groundwater quality near the Sangamner City using GIS approach. Water Resour Manag 30(7):2425–2443. https://doi.org/10.1007/s11269-016-1299-5
Doke AB, Zolekar RB, Patel H, Das S (2021) Geospatial mapping of groundwater potential zones using multi-criteria decision-making AHP approach in a hardrock basaltic terrain in India. Ecol Ind 127:107685. https://doi.org/10.1016/J.ECOLIND.2021.107685
Ghosh PK, Bandyopadhyay S, Jana NC (2016) Mapping of groundwater potential zones in hard rock terrain using geoinformatics: a case of Kumari watershed in western part of West Bengal. Model Earth Syst Environ 2(1):1. https://doi.org/10.1007/s40808-015-0044-z
Ghosh D, Mandal M, Karmakar M, Banerjee M, Mandal D (2020) Application of geospatial technology for delineating groundwater potential zones in the Gandheswari watershed, West Bengal. Sustain Water Res Managmt 6(1):14. https://doi.org/10.1007/s40899-020-00372-0
Gumma M, Pavelic P (2013) Mapping of groundwater potential zones across Ghana using remote sensing, geographic information systems, and spatial modeling. Environ Monit Assess 185:3561–3579. https://doi.org/10.1007/s10661-012-2810-y
Halder S, Roy MB, Roy PK (2020) Fuzzy logic algorithm based analytic hierarchy process for delineation of groundwater potential zones in complex topography. Arab Jour Geosci 13(13):1–22. https://doi.org/10.1007/s12517-020-05525-1
Ifediegwu SI (2022) Assessment of groundwater potential zones using GIS and AHP techniques: a case study of the Lafia district, Nasarawa State, Nigeria. Appl Water Sci 12:10
Jaiswal RK, Mukherjee S, Krishnamurthy J, Saxena R (2003) Role of remote sensing and GIS techniques for generation of groundwater prospect zones towards rural development - an approach. Int J Remote Sens 24(5):993–1008. https://doi.org/10.1080/01431160210144543
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. Arab J Geosci 9:304. https://doi.org/10.1007/s12517-016-2326-9
Kadam A, Karnewar AS, Umrikar B, Sankhua RN (2018) Hydrological response-based watershed prioritization in semiarid, basaltic region of western India using frequency ratio, fuzzy logic and AHP method. Environ Dev Sustain 21:1809–1833
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. Arab J Geosci 7(4):1385–1401. https://doi.org/10.1007/s12517-013-0849-x
Kolanuvada SR, Ponpandian KL, Sankar S (2019) Multi-criteria-based approach for optimal siting of artificial recharge structures through hydrological modeling. Arab J Geosci 126(12):1–10. https://doi.org/10.1007/S12517-019-4351-Y
Kom KP, Gurugnanam B, Sunitha V (2022) Delineation of groundwater potential zones using GIS and AHP techniques in Coimbatore district, South India. Int J Energ Water Res. https://doi.org/10.1007/s42108-022-00188-y
Kumar T, Gautam AK, Jhariya DC (2016) Multi-criteria decision analysis for planning and management of groundwater resources in Balod District, India. Environ Earth Sci 75:649. https://doi.org/10.1007/s12665-016-5462-3
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 Reg Stud 28:100674. https://doi.org/10.1016/j.ejrh.2020.100674
Magesh NS, Chandrasekar N, Soundranayagam JP (2012) Delineation of groundwater potential zones in Theni district, Tamil Nadu, using remote sensing, GIS and MIF techniques. Geosci Front 3:189–196. https://doi.org/10.1016/J.GSF.2011.10.007
Mahato R, Bushi D, Nimasow G et al (2022) AHP and GIS-based delineation of groundwater potential of Papum Pare District of Arunachal Pradesh, India. J Geol Soc India 98:102–112. https://doi.org/10.1007/s12594-022-1936-y
Maity PK, Das S, Das R (2017) Methodology for groundwater extraction in the coastal aquifers of Purba Midnapur District of West Bengal in India under the constraint of saline water intrusion. Asian J Water Environ Pollut 14:1–12. https://doi.org/10.3233/AJW-170011
Mallick J, Singh C, Al-Wadi H, Mohd M, Rahman A (2015) Geospatial and geostatistical approach for groundwater potential zone delineation. Hydrological Processes 29. https://doi.org/10.1002/hyp.10153
Melese T, Belay T (2022) Groundwater potential zone mapping using analytical hierarchy process and GIS in Muga Watershed, Abay Basin, Ethiopia. Glob Challeng 6:2100068. https://doi.org/10.1002/gch2.202100068
Mundalik V, Fernandes C, Kadam A, Umrikar B (2018) Integrated geomorphological, geospatial and AHP technique for groundwater prospects mapping in basaltic terrain. Hydrospatial Anal 2. https://doi.org/10.21523/gcj3.18020102
Murmu P, Kumar M, Lal D, Sonker I, Singh SK (2019) Delineation of groundwater potential zones using geospatial techniques and analytical hierarchy process in Dumka district, Jharkhand, India. Groundw Sustain Dev 9:100239. https://doi.org/10.1016/J.GSD.2019.100239
Nair Nithya C, Srinivas Y, Magesh NS, Kaliraj S (2019) Assessment of groundwater potential zones in Chittar basin, Southern India using GIS based AHP technique. Remote Sens Appl: Soc Environ 15:100248. https://doi.org/10.1016/j.rsase.2019.100248. (ISSN 2352-9385)
NITI Aayog (2018) India is currently suffering from the worst water crisis in its history. Composite Water Management Index CWMI, a national tool for water measurement, management & improvement. NITI Aayog, New Delhi, Government of India. https://niti.gov.in/writereaddata/files/new_initiatives/presentation-on-CWMI.pdf. Accessed 15 Oct 2022
Patra S, Mishra P, Mahapatra SC (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 172:2485–2502. https://doi.org/10.1016/j.jclepro.2017.11.161
Prasad RK, Mondal NC, Banerjee P, Nandakumar MV, Singh VS (2008) Deciphering potential groundwater zone in hard rock through the application of GIS. Environ Geol 55:467–475. https://doi.org/10.1007/S00254-007-0992-3
Qadir J, Bhat MS, Alam A, Rashid I (2020) Mapping groundwater potential zones using remote sensing and GIS approach in Jammu Himalaya, Jammu and Kashmir. Geojournal 85(2):487–504. https://doi.org/10.1007/s10708-019-09981-5
Rahmati O, NazariSamani A, Mahdavi M et al (2015) Groundwater potential mapping at Kurdistan region of Iran using analytic hierarchy process and GIS. Arab J Geosci 8(2015):7059–7071. https://doi.org/10.1007/s12517-014-1668-4
Rajasekhar M, Raju GS, Raju RS (2019) Assessment of groundwater potential zones in parts of the semi-arid region of Anantapur District, Andhra Pradesh, India using GIS and AHP approach. Model Earth Syst Environ 5(4):1303–1317
Roy S, Hazra S, Chanda A, Das S (2020) Assessment of groundwater potential zones using multi-criteria decision-making technique: a micro-level case study from red and lateritic zone (RLZ) of West Bengal, India. Sustain Water Resour Manag 6(1):1–14. https://doi.org/10.1007/s40899-020-00373-z
Saaty TL (2004) Fundamentals of the analytic network process multiple networks with benefts, costs, opportunities and risks. J Syst Sci Syst Eng 13(3):348–379. https://doi.org/10.1007/s11518-006-0171
Saaty TL (1980) The analytic hierarchy process: planning, priority setting, resource allocation. New York: McGraw-Hill; p. 287
Saranya T, Saravanan S (2020) Groundwater potential zone mapping 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
Selvam S, Dar FA, Magesh NS, Singaraja C, Venkatramanan S, Chung SY (2015) Application of remote sensing and GIS for delineating groundwater recharge potential zones of Kovilpatti Municipality, Tamil Nadu using IF technique. Earth Sci Inf 92(9):137–150. https://doi.org/10.1007/S12145-015-0242-2
Shaban A, Khawlie M, Abdallah C (2006) Use of remote sensing and GIS to determine recharge potential zones: the case of Occidental Lebanon. Hydrogeol J 14(4):433–443. https://doi.org/10.1007/s10040-005-0437-6
Shailaja G, Kadam AK (2019) Integrated geophysical, geospatial and multiple-criteria decision techniques for delineation of groundwater potential zones in a semi-arid hard-rock aquifer in Maharashtra, India. Hydrogeol J 27(2):639–654. https://doi.org/10.1007/s10040-018-1883-2
Shekhar S, Pandey AP (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, Geocarto International. https://doi.org/10.1080/10106049.2014.894584
Shiva Chandra V, Reshma T (2022) Urbanization implications on hydro-meteorological parameters of Saroor Nagar Watershed of Telangana. Environ Challeng 8:100562. https://doi.org/10.1016/j.envc.2022.100562. (ISSN 2667-0100)
Singh SK, Srivastava K, Gupta M, Thakur K, Mukherjee S (2014) Appraisal of land use/land cover of mangrove forest ecosystem using support vector machine. Environ Earth Sci 71:2245–2255
Singh SK, Mustak S, Srivastava PK, Szabó S, Islam T (2015) Predicting spatial and decadal LULC changes through Cellular Automata Markov Chain Models using Earth Observation Datasets and Geo-information. Environ Process 2(1):61–78
Singh LK, Jha MK, Chowdary VM (2018) Assessing the accuracy of GIS based Multi-Criteria Decision Analysis approaches for mapping groundwater potential. Ecol Ind 91:24–37. https://doi.org/10.1016/j.ecolind.2018.03.070. (ISSN 1470-160X)
Singh SK, Basommi BP, Mustak Sk, Srivastava PK, Szabo S (2018) Modelling of land use land cover change using earth observation data-sets of Tons River Basin, Madhya Pradesh, India. Geocarto Int 33(11):1202–1222. https://doi.org/10.1080/10106049.2017.1343390
Srivastava P, Bhattacharya A (2006) Groundwater assessment through an integrated approach using remote sensing, GIS and resistivity techniques: a case study from a hard rock terrain. Int J Remote Sens 27:4599–4620. https://doi.org/10.1080/01431160600554983
Tolche AD (2021) Groundwater potential mapping using geospatial techniques: a case study of Dhungeta-Ramis sub-basin, Ethiopia. Geol Ecol Landsc 5(1):65–80
Tunahan A (2021) Determination of groundwater potential zones using Geographical Information Systems (GIS) and Analytic Hierarchy Process (AHP) between Edirne-Kalkansogut (northwestern Turkey). Groundw Sustain Dev 12:100545. https://doi.org/10.1016/j.gsd.2021.100545. (ISSN 2352-801X)
Vrzel J, Ludwig R, Gampe D, Ogrinc N (2019) Hydrological system behaviour of an alluvial aquifer under climate change. Sci Total Environ 649:1179–1188. https://doi.org/10.1016/j.scitotenv.2018.08.396. (ISSN 0048-9697)
Yeh HF, Lee CH, Hsu KC, Chang PH (2009) GIS for the assessment of the groundwater recharge potential zone. Environ Geol 58(1):185–195. https://doi.org/10.1007/s00254-008-1504-9
Zolekar RB, Bhagat VS (2015) Multi-criteria land suitability analysis for agriculture in hilly zone: remote sensing and GIS approach. Comput Electron Agric 118:300–321
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This research was possible with the use of publicly available datasets, provided by NRSC, The United States Geological Survey (USGS), Geological Survey of India, Telangana Groundwater Department, Ranga Reddy District Collectorate.
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The study’s conception and design were contributed to by all authors. Shiva Chandra Vaddiraju was in charge of material preparation, data collection, and analysis. Shiva Chandra Vaddiraju wrote the first draft of the manuscript, and Reshma Talari suggested improvements. The final manuscript was read and approved by all authors.
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Vaddiraju, S.C., Talari, R. Assessment of groundwater potential zones in Saroor Nagar watershed, Telangana, India, using geospatial techniques and analytical hierarchy process. Environ Sci Pollut Res 30, 79758–79773 (2023). https://doi.org/10.1007/s11356-023-26185-0
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DOI: https://doi.org/10.1007/s11356-023-26185-0