Identification of Groundwater Potential Zones Using Remote Sensing, Geographical Information System, and Analytic Hierarchy Process Techniques – A Case Study in the Nerodime Watershed, Kosovo

• Autorzy: Avdullahi Sabri , Hajra Argjend

Identyfikatory

DOI

10.12912/27197050/161887

• Języki publikacji: EN

Abstrakty

EN

This research was carried out to analyse the groundwater potential areas in the Nerodime River catchment area. This paper used the standard methodology to determine the potential areas of groundwater resources based on the combated remote sensing, geographic information system, and hierarchical analytical process. In this river catchment area, a total of eight groups of criteria have been selected which have an impact on groundwater storage. Groundwater research would not be possible without the use of various data that have a direct impact on groundwater such as drainage, elevation, geology, land use and land cover, lineament, rainfall, slope, and soil. The results obtained through statistical analysis with software were compared with the data collected in the field, a comparison which resulted in an accuracy of approximately 95%. The results are reflected in table form and using maps also prepared with ArcGIS software.

Słowa kluczowe

EN

groundwater; river basin; RS; GIS; AHP

• Wydawca: Lubelski Oddział Polskiego Towarzystwo Inżynierii Ekologicznej ; Lublin University of Technology ; WNGB Wydawnictwo Naukowe
• Czasopismo: Ecological Engineering & Environmental Technology
• Rocznik: 2023
• Tom: Vol. 24, iss. 4
• Strony: 147--161
• Opis fizyczny: Bibliogr. 25 poz., rys., tab.

Twórcy

autor

Avdullahi Sabri

• Faculty of Geosciences, University Isa Boletini of Mitrovica, Str. Ukshin Kovaçica. 40000, Kosovo

• https://orcid.org/0000-0002-7648-6436

autor

Hajra Argjend

• Faculty of Geosciences, University Isa Boletini of Mitrovica, Str. Ukshin Kovaçica. 40000, Kosovo

Bibliografia

• 1. Abel O.T., Tijani M. 2011. Integrated remote sensing and GIS approach to groundwater potential assessment in the basement terrain of Ekiti area southwestern Nigeria. Mater Geoenviron, 58(3), 303–328.
• 2. Arefn R. 2020. Groundwater potential zone identifcation using an analytic hierarchy process in Dhaka City, Bangladesh. Environ Earth Sci. https://doi.org/10.1007/s12665-020-09024-0
• 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. https://doi.org/10.1038/s41598-019-38567-x
• 4. Barua S., Mukhopadhyay B.P., Bera A. 2021. Integrated assessment of groundwater potential zone under agricultural dominated areas in the western part of Dakshin Dinajpur district, West Bengal, India. Arab J Geosci, 14, 1042. https://doi.org/10.1007/s12517-021-07312-y
• 5. Bera A., Mukhopadhyay B.P., Barua S. 2020. Delineation of groundwater potential zones in Karha river basin, Maharashtra, India, using AHP and geospatial techniques. Arab J Geosci, 13, 693. https://doi.org/10.1007/s12517-020-05702-2
• 6. Bera K., Bandyopadhyay J. 2012. Groundwater potential mapping in Dulung watershed using remote sensing and GIS techniques, West Bengal, India. Int J Sci Res Publ, 2(12), 1–7.
• 7. Chen W., Hong H., Li S., Shahabi H., Wang Y., Wang X., Ahmad B.B. 2019. Flood susceptibility modelling using novel hybrid approach of reducederror pruning trees with bagging and random subspace ensembles. J Hydrol, 575, 864–873. https://doi.org/10.1016/j.jhydrol.2019.05.089
• 8. Das N., Mukhopadhyay S. 2020. Application of multi-criteria decision making technique for the assessment of groundwater potential zones: a study on Birbhum district, West Bengal, India. Environ Dev Sustain, 22, 931–955. https://doi.org/10.1007/s10668-018-0227-7
• 9. Deepika B., Avinash K., Jayappa K.S. 2013. Integration of hydrological factors and demarcation of groundwater prospect zones: insights from remote sensing and GIS techniques. Environ Earth Sci, 70(3), 1319–1338. https://doi.org/10.1007/s12665-013-2218-1
• 10. Ferozu R.M., Jahan C.S., Arefn R., Mazumder Q.H. 2018. Groundwater potentiality study in drought prone Barind Tract, NW Bangladesh using remote sensing and GIS. Groundw Sustain Dev, 8, 205–215. https://doi.org/10.1016/j.gsd.2018.11.006
• 11. Gitas I.Z., Ayanz J.S.M., Chuvieco B.D.E., Camia A. 2014. Advances in remote sensing and GIS applications in support of forest fire management. Int J Wildland Fire, 23, 603–605. https://doi.org/10.1071/WF14117
• 12. Gueretz J.S., Da Silva F.A., Simionatto E.L., Ferard J.F., Radetski C.M., Somensi C.A. 2019. A multiparametric study of the interaction between the Parati river and Babitonga Bay in terms of water quality. J Environ Sci Health, Part B. https://doi.org/10.1080/03601234.2019.1685813
• 13. Jose S.K., Jayasree R., Kumar R.S., Rajendran S. 2012. Identification of Ground Water Potential Zones in Palakkad District, Kerala Through Multicriteria Analysis Techniques using Geoinformation Technology, 2(1), 62–68
• 14. Kumar P., Herath S., Avtar R., Takeuchi K. 2016. Mapping of groundwater potential zones in Killinochi area, Sri Lanka, using GIS and remote sensing techniques. Sustain. Water Resour. Manag., 2(4), 419–430. https://doi.org/10.1007/s40899-016-0072-5
• 15. Mahato S., Pal S. 2019. Groundwater potential mapping in a rural river basin by union (OR) and intersection (AND) of four multi-criteria decisionmaking models. Nat Resour Res, 28(2), 523–545. https://doi.org/10.1007/s11053-018-9404-5
• 16. Maity D.K., Mandal S. 2019. Identification of groundwater potential zones of the Kumari river basin, India: an RS & GIS based semi quantitative approach. Environ Dev Sustain, 21(2), 1013–1034. https://doi.org/10.1007/s10668-017-0072-0
• 17. Mukherjee I., Singh U.K. 2020. Delineation of groundwater potential zones in a drought-prone semi-arid region of east India using GIS and analytical hierarchical process techniques. CATENA, 194, 104681. https://doi.org/10.1016/j.catena.2020.104681
• 18. Pandian M., Kumanan C.J. 2013. Geomatics approach to demarcate groundwater potential zones using remote sensing and GIS techniques in part of Trichy and Karur district, Tamilnadu, India. Appl Water Sci, 5(2), 234–240.
• 19. Patra S., Mishra P., Mahapatra S.C. 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
• 20. Pinto D., Shrestha S., Babel M.S., Ninsawat S. 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. https://doi.org/10.1007/s13201-015-0270-6
• 21. Pradhan S., Kumar S., Kumar Y., Sharma H.C. 2019. Assessment of groundwater utilization status and prediction of water table depth using different heuristic models in an Indian interbasin. Soft Comput, 23(20), 10261–10285. https://doi.org/10.1007/s00500-018-3580-4
• 22. Qadir J., Bhat M.S., Alam A., Rashid I. 2019. Mapping groundwater potential zones using remote sensing and GIS approach in Jammu Himalaya Jammu and Kashmir. Geo-Journal, 85(2), 487–504. https://doi.org/10.1007/s10708-019-09981-5
• 23. Rani M., Joshi H., Kumar K., Pande A., Rawat D.S. 2019. Development of recharge and conservation site suitability model for groundwater retrieval and evaluation of artificial recharge potential in a complex hydro-geological spring-fed river basin. Arab J Geosci, 12(18), 589. https://doi.org/10.1007/s12517-019-4784-3
• 24. Shailaja G., Kadam A.K., Gupta G., Umrikar B.N., Pawar N.J. 2019. Integrated geophysical, geospatial and multiple-criteria decision analysis 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
• 25. Shakak N. 2015. Integrationof Remote Sensing and Geographic information system in Ground Water Quality Assessment and Management. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XL-7/W3 (May), 1483–1490. https://doi.org/10.5194/isprsarchives-XL-7-W3-1483-2015

Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).