Abstract
Detecting the potential region of the groundwater resource is a difficult issue all over the world. Nowadays, advanced geospatial technologies are excellent tools for efficient planning, managing, and assessing groundwater resources, particularly in data-scarce developing nations. Remote sensing (RS) and GIS-based multi-criteria decision analysis (MCDA) methods were applied to delineate the groundwater potential (GWP) in the Fetam-Yisir catchment, Blue Nile Basin, Ethiopia. Nine thematic layers: slope, geomorphology, normalized difference vegetation index (NDVI), topographic elevation, geology, land use/land cover (LULC), soil, rainfall, and drainage density from satellite and conventional data were used. The analytical hierarchy process (AHP) of an MCDA was employed to compute the corresponding normalized weight for the class in a layer and weights for the thematic layers on the base of their relative significance to the GWP. Integration of all thematic maps has been done using the “Weighted overlay” tool to obtain a GWP map. The GWP map is then validated using observed boreholes, and springs yield data. The verification of the final GWP zone map against yield data confirms 82% agreement indicating the authenticity of the method. The final GWP output confirmed that 43% area of the Fetam-Yisir catchment falls in a “good” GWP zone; 42%, 7.45%, 7.4%, and 0.02% of the area fall in “moderate,” “very good,” “poor,” and “very poor” GWP zones, respectively. The sensitivity analysis divulges that the GWP map is highly sensitive to slope with a mean variation index of 1.45%. Thus, this study can be used for effective groundwater exploration, development, and sustainable abstraction, as well as it guides the researchers in locating the GWP zone.
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References
Adiat KAN, Nawawi MM, Abdullah K (2012) Assessing the accuracy of GIS-based elementary multi-criteria decision analysis as a spatial prediction tool - a case of predicting potential zones of sustainable groundwater resources. J Hydrol 440:75–89. https://doi.org/10.1016/j.jhydrol.2012.03.028
Ahmad I, Dar MA, Andualem TG, Teka AH (2020a) GIS-based multi-criteria evaluation of groundwater potential of the Beshilo River basin, Ethiopia. J African Earth Sci 164:103747. https://doi.org/10.1016/j.jafrearsci.2019.103747
Ahmad I, Dar M, Andualem T, Teka A, Tolosa A (2020b) GIS-based multicriteria evaluation for deciphering of groundwater potential. J Ind Soc Remote Sens. https://doi.org/10.1007/s12524-019-01078-3
Al Saud M (2010) Mapping potential areas for groundwater storage in Wadi Aurnah Basin, western Arabian Peninsula, using remote sensing and geographic information system techniques. Hydrogeol J 18:1481–1495. https://doi.org/10.1007/s10040-010-0598-9
Alemayehu T (2006) Groundwater occurrence in Ethiopia. Addis Ababa University, Addis Ababa, Ethiopia
Alley WM (1984) On the treatment of evapotranspiration, soil moisture accounting, and aquifer recharge in monthly water balance models. Water Resour Res 20:1137–1149. https://doi.org/10.1029/WR020i008p01137
Andualem TG, Demeke GG (2019) Groundwater potential assessment using GIS and remote sensing: a case study of Guna tana landscape, Blue Nile Basin, Ethiopia. J Hydrol Reg 24:100610. https://doi.org/10.1016/j.ejrh.2019.100610
Anteneh ZL, Alemu MM, Bawoke GT, Kehali AT, Fenta MC, Desta MT (2022) Appraising groundwater potential zones using geospatial and multi-criteria decision analysis (MCDA) techniques in Andasa-Tul watershed, Blue Nile basin, Ethiopia. Environ Earth Sci 81:1–20. https://doi.org/10.1007/s12665-021-10083-0
Arunbose S, Srinivas Y, Rajkumar S, Nair NC, Kaliraj S (2021) Remote sensing, GIS, and AHP techniques based investigation of groundwater potential zones in the Karumeniyar river basin, Tamil Nadu, southern India. Groundw Sustain Dev 14:100586. https://doi.org/10.1016/j.gsd.2021.100586
Asrat A (2017) Groundwater potential assessment project in the north and south Gojjam Abay Sub Basins (unpublished). In: Geological, geomorphological, and structural study report (final, phase-1). Amhara Design and Supervision Works Enterprise (ADSWE)
Aykut T (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
Berhanu B, Melesse AM, Seleshi Y (2013) GIS-based hydrological zones and soil geo-database of Ethiopia. Catena 104:21–31. https://doi.org/10.1016/j.catena.2012.12.007
Chowdhury A, Jha MK, Chowdary VM (2010) 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 59:1209–1222. https://doi.org/10.1007/s12665-009-0110-9
FAO-ISRIC (1998) World reference base for soil resources. In: World Soil Resource Report 84. FAO, Rome
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. Appl Water Sci 4:19–38. https://doi.org/10.1007/s13201-013-0127-9
Fenta AA, Kifle A, Gebreyohannes T, Hailu G (2015) Spatial analysis of groundwater potential using remote sensing and GIS-based multi-criteria evaluation in Raya Valley, northern Ethiopia. Hydrogeol J 23:195–206. https://doi.org/10.1007/s10040-014-1198-x
Fetter CW (1994) Applied hydrogeology. Prentice-Hall Inc., Saddle River
Fu B, Burgher I (2015) Riparian vegetation NDVI dynamics and its relationship with climate, surface water, and groundwater. J Arid Environ 113:59–68. https://doi.org/10.1016/j.jaridenv.2014.09.010
Healy RW (2010) Estimating groundwater recharge. Cambridge University Press, New York. https://doi.org/10.1017/CBO9780511780745
Hussein AA, Govindu V, Nigusse AGM (2017) Evaluation of groundwater potential using geospatial techniques. Appl Water Sci 7:2447–2461. https://doi.org/10.1007/s13201-016-0433-0
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 19:223–234. https://doi.org/10.1016/j.ejrs.2016.06.002
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 9:1–15. https://doi.org/10.1007/s12517-016-2326-9
Jha MK, Chowdary VM (2007) Challenges of using remote sensing and GIS in developing nations. Hydrogeol J 15:197–200. https://doi.org/10.1007/s10040-006-0117-1
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-z
Kebede S (2013) Groundwater in Ethiopia: features, numbers and opportunities. Springer, Berlin. https://doi.org/10.1007/978-3-642-30391-3
Kebede S, Travi Y, Alemayehu T, Ayenew T (2005) Groundwater recharge, circulation, and geochemical evolution in the source region of the Blue Nile River, Ethiopia. Appl Geochem 20:1658–1676. https://doi.org/10.1016/j.apgeochem.2005.04.016
Kindie A, Enku T, Moges MA, Geremew BS, Atinkut HB (2019) Spatial analysis of groundwater potential using GIS-based multi-criteria decision analysis method in Lake Tana Basin, Ethiopia. In: Zimale F, Enku Nigussie T, Fanta S (eds) Advances of Science and Technology. ICAST (2018) Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 274. Springer, Cham. https://doi.org/10.1007/978-3-030-15357-1_37
Kumar T, Gautam AK, Kumar T (2014) Appraising the accuracy of GIS-based multi-criteria decision-making technique for delineation of groundwater potential zones. Water Resour Manag 28(13):4449–4466. https://doi.org/10.1007/s11269-014-0663-6
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
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 Manag 25:1359–1386. https://doi.org/10.1007/s11269-010-9749-y
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
Malczewski J (2006) GIS-based multicriteria decision analysis: a survey of the literature. Int J Geogr Inf Sci 20:703–726. https://doi.org/10.1080/13658810600661508
Mamo S (2015) Integrated hydrological and hydrogeological system analysis of the Lake Tana Basin, Northwestern Ethiopia. Doctoral dissertation,. Addis Ababa University
Manap MA, Sulaiman WNA, Ramli MF, Pradhan B, Surip N (2013) A knowledge-driven GIS modeling technique for groundwater potential mapping at the Langat Basin, Malaysia. Arab J Geosci 6:1621–1637. https://doi.org/10.1007/s12517-011-0469-2
Meshesha D, Shinjo R (2007) Crustal contamination and diversity of magma sources in the northwestern Ethiopian volcanic province. J Mineral Petrol Sci 102:272–290. https://doi.org/10.2465/jmps.061129
Mogaji KA, Lim HS, Abdullah K (2015) Regional prediction of groundwater potential mapping in a multifaceted geology terrain using GIS-based Dempster–Shafer model. Arab J Geosci 8:3235–3258. https://doi.org/10.1007/s12517-014-1391-1
Naghibi SA, Pourghasemi HR, Dixon B (2016) GIS-based groundwater potential mapping using boosted regression tree, classification and regression tree, and random forest machine learning models in Iran. Environ Monit Assess 188:1–27. https://doi.org/10.1007/s10661-015-5049-6
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
Pauline S (2001) Groundwater quality: Ethiopia. British Geological Survey
Pinto D, Shrestha S, Babel MS, Ninsawat S (2017) 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
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
Rajaveni SP, Brindha K, Elango L (2017) Geological and geomorphological controls on groundwater occurrence in a hard rock region. Appl Water Sci 7:1377–1389. https://doi.org/10.1007/s13201-015-0327-6
Saaty TL (1980) The analytic hierarchy process: planning, priority setting, resource allocation. McGraw-Hill, New York
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, England. https://doi.org/10.1002/9780470725184.ch
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 13:826–834. https://doi.org/10.1007/s10040-004-0378-5
Singh A (2014) Groundwater resources management through the applications of simulation modeling: a review. Sci Total Environ 499:414–423. https://doi.org/10.1016/j.scitotenv.2014.05.048
Srinivasa Rao Y, Jugran DK (2003) Delineation of groundwater potential zones and zones of groundwater quality suitable for domestic purposes using remote sensing and GIS. Hydrol Sci J 48:821–833. https://doi.org/10.1623/hysj.48.5.821.51452
Sutradhar S, Mondal P, Das N (2021) Delineation of groundwater potential zones using MIF and AHP models: a micro-level study on Suri Sadar Sub-Division, Birbhum District, West Bengal, India. Groundw Sustain Dev 12:100547. https://doi.org/10.1016/j.gsd.2021.100547
Terzer S, Wassenaar LI, Araguás-Araguás LJ, Aggarwal PK (2013) Global isoscapes for δ18O and δ2H in precipitation: improved prediction using regionalized climatic regression models. Hydrol Earth Syst Sci 17:4713–4728. https://doi.org/10.5194/hess-17-4713-2013
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 7:4117–4131. https://doi.org/10.1007/s13201-017-0571-z
Thapa R, Gupta S, Guin S, Kaur H (2018) Sensitivity analysis and mapping the potential groundwater vulnerability zones in Birbhum district, India : a comparative approach between vulnerability models. Water Sci 32:44–46. https://doi.org/10.1016/j.wsj.2018.02.003
Tiwari AK, Lavy M, Amanzio G, De Maio M, Singh PK, Mahato MK (2017) Identification of artificial groundwater recharging zone using a GIS-based fuzzy logic approach: a case study in a coal mine area of the Damodar Valley, India. Appl Water Sci 7:4513–4524. https://doi.org/10.1007/s13201-017-0603-8
Willis D (2008) Hydrogeology field manual. McGragingaw-Hill Companies Inc., New work
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The authors would like to greatly thank the Amhara Design Works and Supervision Enterprise (ADWSE) and West Amhara Metrological Agency (WAMA) for providing the necessary data.
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Gizaw, E.A., Bawoke, G.T., Alemu, M.M. et al. Spatial analysis of groundwater potential using remote sensing and GIS-based multi-criteria decision analysis method in Fetam-Yisir catchment, Blue Nile Basin, Ethiopia. Appl Geomat 15, 659–681 (2023). https://doi.org/10.1007/s12518-023-00518-7
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DOI: https://doi.org/10.1007/s12518-023-00518-7