Abstract
There has been excessive use of groundwater resources owing to dwindling water resource potentialities across the globe. As a result, efficient water resource management has become inevitable. However, locating the groundwater potential zones in dry and mountainous regions of many develo** countries which lack suitable economic and human resources is challenging. The integrated approach of Remote Sensing (RS) and Geographic Information System (GIS) can offer a solution to this problem as it is useful to fetch first-hand information and has wider applicability. The present study focuses on delineating of groundwater potential zones in Pohru Watershed, of Jhelum Basin-Western Himalaya, India by integrating RS, GIS and Analytical Hierarchy Process (AHP). Seven thematic layers, namely lithology, geomorphology, soil, land use/land cover, slope, drainage density and lineament density have been used in this study. The parameters were weighted using AHP according to their importance in determining the groundwater potential. Five major groundwater potential zones were identified as: Very High (18.14%), High (18.17%), Moderate (19.03%), Low (41.75%) and Very Low (2.88%). The findings reveal that High and Very High Potential Zones are concentrated in the alluvial plains and the adjoining fluvio-lacustrine deposits/ Karewas. However, the highly or moderately dissected hills and the mountain ridges mostly comprise of Low and Very Low groundwater potential zones. The residual hills comprise of Medium and Low groundwater potential zones. The analysis of location and water depth of groundwater wells in the study area was found in accordance with the mapped groundwater potential zones, which validates our study. The Area Under Curve (AUC) value of Receiver Operating Characteristic (ROC) curve for AHP method was calculated as 0.7037, which corresponds to the prediction accuracy of 70.37%, indicating Moderate to High predictability of groundwater recharge zones for the study region.
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References
Aayog NITI (2018) Composite water management index. National Institution for Transforming India, GOI
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
Ahmed R, Ahmad ST, Wani GF, Ahmed P, Mir AA, Singh A (2021). Analysis of landuse and landcover changes in Kashmir valley, India—a review. GeoJournal pp1–13
Ahmed R, Ahmad ST, Wani G F, Mir RA, Ahmed P, Jain SK (2022). High resolution inventory and hazard assessment of potentially dangerous glacial Lakes in Upper Jhelum Basin, Kashmir Himalaya, India. Geocarto International pp1–32
Allafta H, Opp C, Patra S (2020) Identification of groundwater potential zones using remote sensing and GIS techniques: a case study of the Shatt Al-Arab Basin. Remote Sens 13(1):112
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):1–17
Avtar R, Singh CK, Shashtri S, Singh A, Mukherjee S (2010) Identification and analysis of groundwater potential zones in Ken–Betwa river linking area using remote sensing and geographic information system. Geocarto Int 25(5):379–396
Barua S, Mukhopadhyay BP, Bera A (2021) Integrated assessment of groundwater potential zone under agricultural dominated areas in the western part of Dakshin Dinajpur district, West Bengal, India. Arabian J Geoscie 14(11):1–17
Chenini I, Mammou AB, May E, M (2010) Groundwater recharge zone map** using GIS-based multi-criteria analysis: a case study in Central Tunisia (Maknassy Basin). Water Resour Manage 24(5):921–939
Chowdhury A, Jha MK, Chowdary VM, Mal BC (2009) Integrated remote sensing and GIS-based approach for assessing groundwater potential in West Medinipur district, West Bengal, India. Int J Remote Sens 30(1):231–250
Dar T, Rai N, Kumar S (2022) Distinguishing mountain front and mountain block recharge in an intermontane Basin of the Hima?layan Region. Groundwater
Dar T, Rai N, Bhat A (2021) Delineation of potential groundwater recharge zones using analytical hierarchy process (AHP). Geol Ecol Landscapes 5(4):292–307
Das S (2018) Geographic information system and AHP-based flood hazard zonation of Vaitarna basin, Maharashtra, India. Arab J Geosci 11(19):1–13
Das B, Pal SC, Malik S, Chakrabortty R (2019) Modeling ground?water potential zones of Puruliya district, West Bengal, India using remote sensing and GIS techniques. Geol Ecol Landscapes 3(3):223–237
Das S, Gupta A, Ghosh S (2017) Exploring groundwater potential zones using MIF technique in semi-arid region: a case study of Hingoli district, Maharashtra. Spat Inform Res 25(6):749–756
Elaalem M, Comber A, Fisher P (2010), May Land evaluation techniques comparing fuzzy AHP with TOPSIS methods. In: 13th AGILE international conference on geographic information science, vol 2010, pp 1–8
Fashae OA, Tijani MN, Talabi AO, Adedeji OI (2014) Delineation of groundwater potential zones in the crystalline basement terrain of SW-Nigeria: an integrated GIS and remote sensing approach. Applied Water Science 4(1):19–38
Ibrahim-Bathis K, Ahmed SA (2016) Geospatial technology for delineating groundwater potential zones in Doddahalla watershed of Chitradurga district, India. Egypt J Remote Sens Space Sci 19(2):223–234
Jahan CS, Rahaman M, Arefin R, Ali M, Mazumder QH (2019) Delineation of groundwater potential zones of Atrai–Sib River basin in north-west Bangladesh using remote sensing and GIS techniques. Sustainable Water Resources Management 5(2):689–702
Jha MK, Peiffer S (2006) Applications of remote sensing and GIS technologies in groundwater hydrology: past, present and future. Bayreuth: BayCEER, p 201
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(2):427–467
Karnath KR (1987) Groundwater assessment development and management. Tata McGraw Hill Publication Company Ltd. New Delhi, p 725
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
Krishnamurthy J, Venkatesa Kumar N, Jayaraman V, Manivel M (1996) An approach to demarcate ground water potential zones through remote sensing and a geographical information system. Int J Remote Sens 17(10):1867–1884
Kumar P, Herath S, Avtar R, Takeuchi K (2016) Map** of groundwater potential zones in Killinochi area, Sri Lanka, using GIS and remote sensing techniques. Sustainable Water Resources Management 2(4):419–430
Machiwal D, Jha MK, Mal BC (2011) Assessment of groundwater potential in a semi-arid region of India using remote sensing, GIS and MCDM techniques. Water Resour Manage 25(5):1359–1386
Madrucci V, Taioli F, de Araújo CC (2008) Groundwater favorability map using GIS multicriteria data analysis on crystalline terrain, Sao Paulo State, Brazil. J Hydrol 357(3–4):153–173
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(2):189–196
Malik MI, Bhat MS, Najar SA (2016) Remote Sensing and GIS based groundwater potential map** for sustainable water resource management of Lidder catchment in Kashmir Valley, India. J Geol Soc India 87(6):716–726
Manap MA, Sulaiman WNA, Ramli MF, Pradhan B, Surip N (2013) A knowledge-driven GIS modeling technique for groundwater potential map** at the Upper Langat Basin, Malaysia. Arab J Geosci 6(5):1621–1637
Meijerink AMJ (1996) Remote sensing applications to hydrology: groundwater. Hydrol Sci J 41(4):549–561
Mir S, Bhat M, Rather G, Mattoo D (2021) Groundwater potential zonation using Integration of Remote Sensing and AHP/ANP Approach in North Kashmir, Western Himalaya, India. Remote Sens Land 5:41–58
Moss R, Moss GE (1990) Handbook of ground water development. Wiley-Interscience, New York, pp 34–51
Mukherjee A, Bhanja SN, Wada Y (2018) Groundwater deple?tion causing reduction of baseflow triggering Ganges river sum?mer drying. Sci Rep 8(1):1–9
Nag SK, Kundu A (2016) Delineation of groundwater potential zones in hard rock terrain in Kashipur block, Purulia district, West Bengal, using geospatial techniques. Int J Waste Resour 6(1):1000201
Naghibi SA, Pourghasemi R (2015) A comparative assessment between three machine learning models and their performance comparison by bivariate and multivariate statistical methods in groundwater potential map**. Water Res Manag 29(14):5217–5236
Naghibi SA, Pourghasemi HR, Dixon B (2016) GIS-based groundwater potential map** using boosted regression tree, classification and regression tree, and random forest machine learning models in Iran. Environ Monito Assess 188(1):1–27
Nityananda S, Khan A, Chatterjee S, Das A (2015) Hydrologic delineation of ground water potential zones using geospatial technique for Keleghai river basin, India. Model Earth Sys Environ 1:25
Ozdemir A, Altural T (2013) A comparative study of frequency ratio, weights of evidence and logistic regression methods for landslide susceptibility map**: Sultan Mountains, SW Turkey. J Asian Earth Sci 64:180–197
Pande CB, Khadri SFR, Moharir KN, Patode RS (2018) Assessment of groundwater potential zonation of Mahesh River basin Akola and Buldhana districts, Maharashtra, India using remote sensing and GIS techniques. Sustainable Water Resources Management 4(4):965–979
Patle D, Awasthi MK (2019) Groundwater potential zoning in Tika?mgarh District of Bundelkhand using Remote Sensing and GIS. Int J Agric Environ Biotechnol 12(4):311–318
Pourghasemi HR, Mohammady M, Pradhan B (2012) Land?slide susceptibility map** using index of entropy and condi?tional probability models in GIS: Safarood Basin, Iran. Catena 97:71–84
Pradhan B (2009) Groundwater potential zonation for basaltic watersheds using satellite remote sensing data and GIS techniques. Cent Eur J Geosci 1(1):120–129
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(3):467–475
Rahmati O, Nazari Samani A, Mahdavi M, Pourghasemi HR, Zeinivand H (2015) Groundwater potential map** at Kurdistan region of Iran using analytic hierarchy process and GIS. Arab J Geosci 8(9):7059–7071
Reddy PR, Vinod K, Seshadri K (1996) Use of IRS 1-C data in groundwater water studies. Curr Sci 70:600–6005
Richts A, Struckmeier WF, Zaepke M (2011) WHYMAP and the groundwater resources map of the world 1: 25,000,000. In: Sus?taining groundwater resources. Springer, Dordrecht, pp 159–173
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 Res Manag 6(1):1–14
Saaty TL (2004) Decision making—the analytic hierarchy and network processes (AHP/ANP). J Syst Sci Syst Eng 13(1):1–35
Sander P, Chesley MM, Minor TB (1996) Groundwater assessment using remote sensing and GIS in a rural groundwater project in Ghana: lessons learned. Hydrogeol J 4(3):40–49
Sener E, Davraz A, Ozcelik M (2005) An integration of GIS and remote sensing in groundwater investigations: a case study in Burdur, Turkey. Hydrogeol J 13(5):826–834
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
Shahid S, Nath S, Roy J (2000) Groundwater potential modelling in a soft rock area using a GIS. Int J Remote Sens 21(9):1919–1924
Shekhar S, Pandey AC (2015) 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 Intern 30(4):402–421
Solomon S (2003) Remote sensing and GIS: Applications for groundwater potential assessment in Eritrea (Doctoral dissertation, Byggvetenskap)
Srivastava PK, Han D, Gupta M, Mukherjee S (2012) Integrated framework for monitoring groundwater pollution using a geographical information system and multivariate analysis. Hydrologic Sci J 57(7):1453–1472
Suganthi S, Elango L, Subramanian SK (2013) Groundwater potential zonation by Remote Sensing and GIS techniques and its relation to the Groundwater level in the Coastal part of the Arani and Koratalai River Basin, Southern India. Earth Sci Res J 17(2):87–95
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
Todd DK, Mays LW (2004) Groundwater hydrology. Wiley
Varade AM, Khare YD, Yadav P, Doad AP, Das S, Kanetkar M, Golekar RB (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(4):539–549
Wind Y, Saaty TL (1980) Marketing applications of the analytic hierarchy process. Manage Sci 26(7):641–658
World Bank (2012) India groundwater: A valuable but diminishing resource
Yeh HF, Cheng YS, Lin HI, Lee CH (2016) Map** groundwater recharge potential zone using a GIS approach in Hualian River, Taiwan. Sustainable Environ Res 26(1):33–43
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
Acknowledgements
The authors are thankful to the United States Geological Survey (USGS) for freely providing the satellite data used in this study. The first author acknowledges the support of the University Grants Commission (UGC) in the form of grants made available under the JRF scheme for pursuing Ph.D.
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Every author has contributed to the successful compilation of this study. AFR, RA, GFW, and STA: Conceptualization, Methodology, Software, Writing—original draft, Formal analysis. TD and SJ: Data curation, Formal analysis, Writing—review & editing. PA: Writing—review, editing, Supervision. All authors read and approved the final manuscript.
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Rather, A.F., Ahmed, R., Wani, G.F. et al. Map** of groundwater potential zones in Pohru Watershed of Jhelum Basin-Western Himalaya, India using integrated approach of remote sensing, GIS and AHP . Earth Sci Inform 15, 2091–2107 (2022). https://doi.org/10.1007/s12145-022-00824-5
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DOI: https://doi.org/10.1007/s12145-022-00824-5