Warianty tytułu
Języki publikacji
Abstrakty
The present research aims to address the drinking water crisis in the Mahan River catchment area resulting from the disruption of groundwater availability due to extensive coal mining. The study uses GIS-based Multi-Criteria Decision Analysis (MCDA) to map the groundwater potential of the area by analysing several factors that affect groundwater availability, including rainfall, water depth, geomorphology, geology, soil, land-cover/land-use, and topographic characteristics derived from DEM. The groundwater potential map created using the MCDA technique classified the area into low, moderate, and high groundwater potential zones. The map was validated and verified using water table depth and electrical conductivity values available in the region, indicating that it can be used to identify groundwater recharging sites. The study’s results show that about 30% of the area has high groundwater potential, and more than 45% of the area has moderate groundwater potential. The information derived from the study can be used for sustainable management and proper planning of groundwater resources in the Mahan River catchment area. Overall, the study presents a useful approach to address the groundwater depletion problem resulting from coal mining activities in the Mahan River catchment area.
Czasopismo
Rocznik
Tom
Strony
77--88
Opis fizyczny
Bibliogr. 23 poz., rys., tab.
Twórcy
autor
- Central Mine Planning and Design Institute Limited, Bilaspur, India, rukaiyakausher@gmail.com
autor
- Central Mine Planning and Design Institute Limited, Bilaspur, India
autor
- Birla Institute of Technology, Mesra, India
Bibliografia
- [1] T.G. Andualem, G.G. Demeke, Groundwater potential assessment using GIS and remote sensing: A case study ofGuna tana landscape, upper blue Nile Basin, Ethiopia. J. Hydrol.: Reg. Stud. 24, 100610 (2019).D OI: https://doi.org/10.1016/j.ejrh.2019.100610.
- [2] J. Mallick, R.A. Khan, M. Ahmed, S.D. Alqadhi, M. Alsubih, I. Falqi, M.A. Hasan, Modeling groundwater potentialzone in a semi-arid region of Aseer using fuzzy-AHP and geoinformation techniques. Water 11 (12), 2656 (2019).DOI: https://doi.org/10.3390/w11122656.
- [3] M.K. Jha, A. Chowdhury, V.M. Chowdary, S Peiffer, Groundwater management and development by integratedremote sensing and geographic information systems: prospects and constraints. Water Resour. Manage. 21,427-467 (2007).
- [4] P. Arulbalaji, D. Padmalal, K. Sreelash, GIS and AHP tech- niques based delineation of groundwater potentialzones: a case study from Southern Western Ghats. India Sci. Rep. (2019).D OI: https://doi.org/10.1038/s4159 8-019-38567-x.
- [5] H .C. Nair, D. Padmalal, A. Joseph, P.G. Vinod, Delineation of groundwater potential zones in river basins usinggeospatial tools – an example from Southern Western Ghats, Kerala, India. J. Geovis. Spatial Anal. 1, 1-16 (2017).DOI: https://doi.org/10.1007/s41651017-0003-5.
- [6] A. Bera, B.P. Mukhopadhyay, S. Barua, Delineation of groundwa- ter potential zones in Karha river basin, Maharashtra,India, using AHP and geospatial techniques. Arab. J. Geosci. 13, 693 (2020).D OI: https://doi. org/10.1007/s12517-020-05702-2.
- [7] K . Ibrahim-Bathis, S.A. Ahmed, Geospatial technology for delineating groundwater potential zones in Doddahallawatershed of Chitradurga district, India. Egypt. J. Remote Sens. Sp. Sci. 19, 223-234 (2016).D OI: https://doi.org/10.1016/j.ejrs.2016.06.002.
- [8] O. Rahmati, A. Nazari Samani, M. Mahdavi, H.R. Pourghasemi, H. Zeinivand, Groundwater potential mappingat Kurdistan region of Iran using analytic hierarchy process and GIS. Arab. J. Geosci. 8 (9), 7059-7071 (2015).
- [9] S. Hajkowicz, A. Higgins, A comparison of multiple criteria analysis techniques for water resource management.Eur. J. Oper. Res. 184, 255-265 (2008).
- [10] I . Chenini, A.B. Mammou, M.Y. May, Groundwater recharge zone mapping using GIS- based multi-criteria analysis:a case study in central Tunisia (maknassy basin).Water Resour. Manag. 24, 921-939 (2010).
- [11] K .A.N. Adiat, M.N.M Nawawi, K. Abdullah, Assessing the accuracy of GIS-based elementary multi criteria decisionanalysis as a spatial prediction toola case of predicting potential zones of sustainable groundwater resources.J. Hydrol. 440, 75-89 (2012).
- [12] M.A. Manap, W.N.A. Sulaiman, M.F. Ramli, B. Pradhan, N. Surip, A knowledge-driven GIS modeling techniquefor groundwater potential mapping at the Upper Langat Basin, Malaysia. Arab. J. Geosci. 6, 1621-1637 (2013).
- [13] H .G. Kuma, F.F. Feyessa, T.A. Demissie, Assessing the impacts of land use/land cover changes on hydrologicalprocesses in Southern Ethiopia: The SWAT model approach. Cogent. Eng. 10 (1), 2199508 (2023).
- [14] L .K. Singh, M.K. Jha, V.M. Chowdary, Assessing the accuracy of GIS-based multicriteria decision analysis approachesfor mapping groundwater potential. Ecol. Indic. 91, 2437 (2018).D OI: https://doi.org/10.1016/j.ecolind.2018.03.070.
- [15] E. Şener, S. Şener, A. Davraz, Groundwater potential mapping by combining fuzzy-analytic hierarchy process andGIS in Beyşehir Lake Basin, Turkey. Arab. J. Geosci. 11, 1-21 (2018).
- [16] M.I. Al Khalil, Selecting the appropriate project delivery method using AHP. International Journal of ProjectManagement 20 (6), 469-474 (2002).
- [17] J. Solnes, Environmental quality indexing of large industrial development alternatives using AHP. EnvironmentalImpact Assessment Review 23 (3), 283-303 (2003).
- [18] G . Gnanachandrasamy, Y. Zhou, M. Bagyaraj, S. Venkatramanan, T. Ramkumar, S. Wang, Remote sensing andGIS based ground- water potential zone mapping in Ariyalur District, Tamil Nadu. J. Geol. Soc. India 92 (4),484-490 (2018).
- [19] S.I. Ifediegwu, Assessment of groundwater potential zones using GIS and AHP techniques: a case study of theLafia district, Nasarawa State, Nigeria. Appl. Water Sci. 12 (1), 10 (2022).D OI: https://doi.org/10.1007/s13201-021-01556-5.
- [20] T.L. Saaty, How to make a decision: the analytic hierarchy process. Eur. J. Oper. Res. 48 (1), 9-26 (1990).DOI: https://doi.org/10.1016/0377-2217(90)90057-I.
- [21] T.L. Saaty, Decision making – the analytic hierarchy and network processes (AHP/ANP). J. Syst. Sci. Syst. Eng.13, 1-35 (2004). DOI: https://doi.org/10.1007/s11518-006-0151-5.
- [22] H .C. Hema, S.S. Vittala, S. Govindaiah, Quantitative morphometric infer in the hard rock Terrain based on SRTMDEMand GIS-Chintamani Watershed, Chikkaballapur District, Karnataka, India. Sustain. Water Resour. Manag.7, 1-12 (2021). DOI: https://doi.org/10.1007/s40899-021-00534-8.
- [23] J. Wu, H. Zhou, S. He, Y. Zhang, Comprehensive understanding of groundwater quality for domestic and agriculturalpurposes in terms of health risks in a coal mine area of the Ordos basin, north of the Chinese Loess Plateau.Environ. Earth Sci. 78, 1-17 (2019). DOI: https://doi.org/10.1007/s12665-019-8471-1.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.baztech-03b5e293-439c-40a6-9deb-03ac2a90bc74